Asparagine Module: Whole-cell Bacterial Biosensor
Introduction
A central avenue of synthetic biology research is the development of whole-cell bacterial biosensors; genetically engineered bacteria that produce a predictable and measurable response upon introduction of a molecule of interest5. Unlike some traditional sensing methods, bacterial biosensors are low-cost, self-manufacturing, and biodegradable, making them ideal for a novel sensing technology4. However, whole-cell bacterial biosensing is limited by a major challenge: the difficulty of genetically engineering a new solution for each molecule of interest that is being detected4. In response to this challenge, Team Saptasense has developed a modular, customizable whole-cell bacterial biosensor that requires no further genetic engineering for the detection of a new compound. In this sense, we have engineered a universal whole-cell bacterial biosensor.
Our sensor contains two simple components: a genetically engineered strain of bacteria, and an antibody of choice. The read-out of the sensor is based on clumping, or “autoaggregation” of the engineered bacteria, which can be measured in any basic biology lab that possesses a spectrophotometer. A schematic of how the sensor was designed to work can be found in Figure 1.
First, E. coli must be transformed with our novel BioBrick BBa_K4130000. This BioBrick contains the coding region for the protein EibD (Escherichia coli Ig-binding protein D). EibD is an outer-membrane protein known to bind to immunoglobulin A/G (also known as antibodies). Previous studies have shown that expression of the protein results in the ability for bacteria to bind non-immunologically to the constant region of antibodies. This means that EibD can bind antibodies without disrupting the antigen-binding function. Unrelatedly, EibD also introduces a unique phenotype to the bacteria: autoaggregation. Due to self-self (homophilic) interactions between the EibD proteins, the bacteria begin to “clump” together. This bacterial clumping has been reported to be observed by the eye, and can also be measured quantitatively by optical density6.
Our designed biosensor leverages both the autoaggregation and Ig-binding properties of EibD. Upon induction and expression of EibD, the bacteria will visually clump together. This autoaggregation can be mitigated by incubation with an antibody of choice (Figure 1C). EibD-antibody interactions may outcompete the EibD-EibD interactions, reducing autoaggregation. As EibD binding to antibody leaves the variable region untouched, incubation with this antibody also introduces specificity to the biosensor towards a target molecule of interest.
Once antibodies have been bound to the bacterial surface, an antigenic sample may then be introduced. Multivalent interactions between antigen and antibody, and across multiple bacteria, may result in clumping or re-aggregation (Figure 1D)7. The degree of clumping can be measured as a function of concentration of antigen present.
Design Modification for Detection of Small Molecules
Our biosensor relies on the ability of a target molecule to bind multiple antibodies, themselves bound to multiple bacteria. For larger molecules such as proteins, a less specific or "polyclonal" antibody may be employed to this end. Small molecules such as amino acids however, contain limited binding sites and therefore present a unique challenge.
Therefore, Team Saptasense has employed a strategy modeled off of a previous publication by Riangrungroj et. al8. In this strategy, a non-antigenic protein is crosslinked to multiple small molecules of interest, forming an antigenic "bead". While the bead base may be composed of any protein which will not interact with the EibD bound antibody, we chose to use the highly characterized Bovine Serum Albumin (BSA). We chose glutaraldehyde as our crosslinker, enabling a reaction between the amine group of our small molecule of interest, asparagine, and the primary amine of lysine residues within BSA. The type of crosslinker will necessarily change depending on the small molecules of interest.
After successful synthesis, a bead can be employed for the detection of the small molecule in the designed whole-cell biosensor. The schematic showing incorporation of this bead can be seen in Figure 2.
Just as in the detection of larger/complex molecules, EibD-expressing bacteria must bind an antibody of choice causing a disaggregation event. Subsequently, the “beads” must be added, allowing for multivalent interactions between antigens on the beads and antibody-bound bacteria. Binding events involving large numbers of bacteria will result in aggregation, and settling out of suspension. Finally, a test sample containing the small molecule of interest can be added to the system. The read-out of the sensor should be a disaggregation due to competition between bead-antibody interactions and free small molecule-antibody interactions.
Comparing Figure 6A-C, as inducer concentration is increased, large clumps of bacteria become apparent. This is suggestive of autoaggregation, and further supports the quantitative data in Figure 5, and qualitative data in Figures 3 and 4.
Comparing Figure 6A and D, B and E, and C and F indicates localization of the IgG-FITC protein and the DNA. Throughout all induction levels, IgG-FITC signal is weak, except for exceedingly bright spots that do not colocalize with the DNA. These bright spots likely represent aggregates of the IgG-FITC protein in solution. The weaker “blots” of FITC fluorescence do, however, co-localize with the DNA stain in Figure 6, panels A-C. This suggests that IgG-FITC may be interacting with the EibD-expressing bacteria as observed in previous research.
Figure 7 displays the effect of incubation with the anti-asparagine antibody on autoaggregation. Bacteria were incubated with or without 2 mg/mL antibody in PBS for 20 hours. The bacteria were resuspended briefly and the O.D.600 was measured over 30 minutes. Experiments were performed in triplicate, and the average fraction O.D.600 was calculated for each time point. The error ribbon on the graph represents 1 standard deviation from the mean (n=3). The addition of the anti-asparagine antibody significantly reduced the amount of autoaggregation (Figure 7). This is consistent with the hypothesis that the antibodies may compete with the homophilic interactions between EibD proteins causing autoaggregation. The data suggests that the anti-asparagine antibody has successfully been bound by the EibD protein on the surface of the bacteria.
Figure 8 displays the effect of incubation with anti-GFP antibody on autoaggregation. Bacteria were treated identically as the anti-asparagine antibody treated samples (2 mg/mL antibody in PBS for 20 hours). Incubation with the anti-GFP antibody resulted in a significant reduction in autoagglutination. This is consistent with the results of incubation with the anti-asparagine antibody, and suggests that the anti-GFP antibody has successfully been bound by the EibD protein on the surface of the bacteria.
To test our model, anti-GFP antibody-coated bacterial cultures were incubated with 0uM, 0.96uM, and 3.85uM GFP in PBS overnight for 16 hours. The cultures were briefly resuspended and the O.D.600 was monitored for 30 minutes. There appears to be an overall decrease in autoaggregation with the addition of any concentration of GFP (Figure 9). However, due to differences in original autoaggregation profile between samples, a more accurate measure of the data is to subtract the fraction O.D.600 after addition of GFP from the fraction O.D.600 from before the addition of GFP (of the same sample). This will eliminate any sample-to-sample variability that may contribute to false interpretations of data. The re-analyzed graph can be seen in Figure 10, displaying that the autoaggregation profile of the samples varies as a function of GFP concentration. When taken together with Figure 9, the data indicates that increasing concentrations of GFP results in decreases in autoaggregation.
Interestingly, the data are not supportive of the hypothesis that addition of GFP will lead to bivalent antibody-GFP interactions, increasing autoaggregation. Therefore, a new molecular model was proposed to better fit the data (Figure 16). In this new model, addition of the antibody does compete away homophilic EibD-EibD interactions. However, as indicated by the data in Figures 5 and 6, this does not result in zero autoaggregation. This may be because of additional aggregation that is imparted by the antibodies themselves. While the EibD proteins may no longer be interacting, the antibodies may be interacting with each other. This is supported by previous research that has indicated that the immunoglobulin Greek-key beta sandwich folding has been shown to be susceptible to edge-edge association1. Additionally, the complementarity determining regions of antibodies responsible for binding to antigens are often composed of hydrophobic and electrostatic residues, which can also contribute to aggregation2,3. These antibody-antibody interactions may not be as strong as the EibD-EibD interactions, causing a reduction, but not full absence, of autoaggregation. In this new model, addition of the antigen, GFP, may therefore cause a decrease in autoaggregation by out-competing the antibody-antibody interactions and increasing steric hindrance. This new model may explain the decrease in autoaggregation observed in Figures 9 and 10.
Overall, the data from Figure 10 demonstrates that we have been successful in creating a sensitive biosensor for the detection of GFP.
BSA-Asn beads were synthesized by reacting BSA with glutaraldehyde and asparagine at 30C and after incubation, quenched with Tris. The cross-linking reaction proceeds via double reductive amination mechanism with iminium ions as intermediate. Three different incubation times were tested to find the optimal period of incubation when enough iminium ions were produced in the reaction mixture; thus maximizing cross-linking rate. The gel in Figure 11 shows our primary attempt at synthesizing the BSA-Asn beads under different conditions. The extensive smearing of bands in our experimental sample lane 7 suggests that the highest rate of cross-linking of BSA with glutaraldehyde and possibly asparagine was achieved at 0.05% glutaraldehyde with an incubation time of 30 minutes. This condition was later used to produce a larger quantity of the beads.
For our first attempt, we avoided using BSA+Glutaraldehyde control because we believed that it would produce large clumps of BSA cross-linked with other BSA molecules. However, we decided to add that extra control along with our large-scale synthesis of the beads to eliminate the possibility that glutaraldehyde has a similar effect to the BSA without the asparagine. However, the gel in Figure 12 shows the SDS-PAGE result of that experiment. We noticed the length and smearing pattern of our negative control with BSA+Glutaraldehyde matches exactly with our experimental samples. This result does not nullify the possibility of successful cross-linking of asparagine with BSA, however, crosslinking between BSA molecules may be occurring as well.
Before the addition of BSA-Asn beads to our whole-cell bacterial biosensor, we desalted the beads using a size-exclusion column (micron columns) to get rid of unreacted asparagine and glutaraldehyde, since these molecules may interfere with our biosensor detection since our biosensor reacts to different concentrations of asparagine.
We first ran a control experiment to examine the effect of addition of the beads themselves (Figure 13). EibD-expressing bacteria were incubated with 0.015uM and 0.15uM BSA-Asn beads alone. There is a slight dis-aggregation of the bacterial cultures, in a near negligible amount.
We next examined the effect of the addition of the beads while in the presence of the antibody-incubated bacteria (Figure 14). According to the original biosensor model, this should cause an aggregation event between the bacteria. However, there is no observable response to the addition of the beads (Figure 14). This could be due to several reasons: 1) the antibody is not recognizing the asparagine bound to the beads, 2) there are self-self interactions formed between the antibodies, reducing the aggregation response upon addition of the beads, 3) bead synthesis failed, 4) taking into account the slight disaggregation in the control experiment (Figure 13), there may have been an aggregation response that simply “canceled out” the disaggregation response, resulting in the appearance of no response. Ultimately, it is likely that all three possible explanations contribute to the lack of response to the addition of BSA-Asparagine beads.
Importantly, the disaggregation event appears to be asparagine concentration dependent. The 30mM asparagine sample exhibited significantly less disaggregation than the 100mM and 300mM asparagine samples. There was no significant difference between 100mM and 300mM, indicating that these concentrations were out of the range of the biosensor. These experiments suggest that we have successfully created a biosensor for asparagine.
In this new model, addition of the antibody does compete away homophilic EibD-EibD interactions. However, as indicated by the data in Figures 7 and 8, this does not result in zero autoaggregation. This may be because of additional aggregation that is imparted by the antibodies themselves. While the EibD proteins may no longer be interacting, the antibodies may be interacting with each other. These antibody-antibody interactions may not be as strong as the EibD-EibD interactions, causing a reduction, but not full absence, of autoaggregation. In this new model, addition of the antigen, GFP, may therefore cause a decrease in autoaggregation by out-competing the antibody-antibody interactions. This new model may explain the decrease in autoaggregation observed in Figures 9, 10, and 14.
Conclusions and Future Work
Team Saptasense has made strides toward the development of a novel, antibody-based universal whole-cell bacterial biosensor. When applied to the detection of the protein GFP and the small molecule asparagine, our biosensor was successful in differentiating between different concentrations of the molecules of interest. In further experiments, we hope to apply our new technology to detect other compounds such as biomarkers for disease or environmental hazards. We hope to offer our strain as a “kit” for other scientists to use with their desired antibody, enabling universal detection. Towards the central goal of our project, we intend for sugarmakers to be able to employ this technology for the accurate detection of asparagine in “buddy” sap.
References
- Richardson J.S., Richardson D.C. Natural beta-sheet proteins use negative design to avoid edge-to-edge aggregation. Proc. Natl. Acad. Sci. USA. 2002;99:2754–2759. doi: 10.1073/pnas.052706099.
- Wu S.J., Luo J., O’Neil K.T., Kang J., Lacy E.R., Canziani G., Baker A., Huang M., Tang Q.M., Raju T.S., et al. Structure-based engineering of a monoclonal antibody for improved solubility. Protein Eng. Des. Sel. 2010;23:643–651. doi: 10.1093/protein/gzq037.
- Wang X., Das T.K., Singh S.K., Kumar S. Potential aggregation prone regions in biotherapeutics: A survey of commercial monoclonal antibodies. mAbs. 2009;1:254–267. doi: 10.4161/mabs.1.3.8035.
- Chang, HJ., Zúñiga, A., Conejero, I. et al. Programmable receptors enable bacterial biosensors to detect pathological biomarkers in clinical samples. Nat Commun 12, 5216 (2021). https://doi.org/10.1038/s41467-021-25538-y
- Gui, Q., Lawson, T., Shan, S., Yan, L. & Liu, Y. The application of whole cell-based biosensors for use in environmental analysis and in medical diagnostics. Sensors 17, 1623 (2017).
- Leo, J. C., Lyskowski, A., Hattula, K., Hartmann, M. D., Schwarz, H., Butcher, S. J., Linke, D., Lupus, A. N., Goldman, A. 2011. The Structure of E. coli IgG-Binding Protein D Suggests a General Model for Bending and Binding in Trimeric Autotransporter Adhesins. Structure 19(7):1021-1030.
- Kylilis, N. et al. Whole-cell biosensor with tuneable limit of detection enables low-cost agglutination assays for medical diagnostic applications. ACS sensors, https://doi.org/10.1021/acssensors.8b01163 (2019).
- Riangrungroj, P., Bever, C.S., Hammock, B.D. et al. A label-free optical whole-cell Escherichia coli biosensor for the detection of pyrethroid insecticide exposure. Sci Rep 9, 12466 (2019). https://doi.org/10.1038/s41598-019-48907-6
- Garcia EJ, McDowell T, Ketola C, Jennings M, Miller JD, Renaud JB. Metabolomics reveals chemical changes in Acer saccharum sap over a maple syrup production season. PLoS One. 2020 Aug 20;15(8):e0235787. doi: 10.1371/journal.pone.0235787. PMID: 32817615; PMCID: PMC7444596.
- Sandt, C. H., and C. W. Hill. 2000. Four different genes responsible for nonimmune immunoglobulin-binding activities within a single strain of Escherichia coli. Infect. Immun. 68:2205-2214.
Dextran Module: Reducing Syrup Waste by Repurposing Ropy Syrup into Dextran Hydrogels For Agricultural Use
Background
Many types of textural defects may arise during the production of maple syrup that render the final product unfit for consumption. Sugarmakers that produce defective syrup must discard these syrups as food waste, leading to a significant financial loss 1. One such textural defect is known as “ropy syrup”, named for its ability to create strings of 10 cm or greater1 (Figure 1). This viscous, stringy texture is created by the presence of bacterial residue in the sap prior to evaporation. These bacteria are capable of using the sucrose and other sugars in the sap to produce larger polysaccharides, such as dextran, arabinogalactan and rhamnogalacturonan1. It is estimated that the production of ropy syrup alone has produced an economic loss of over $4 million USD since 20081.
Dextran is a high molecular mass homo-exopolysaccharide made from sucrose by lactic acid bacteria2. The molecule is a useful and versatile product in medical and biomaterial research. Dextran consists primarily of 𝛼-1→6 chain and 𝛼-1→3 branching linkages between the glucose monomers2. The long chain structure allows the molecule to effectively crosslink with itself and other small molecules. High efficiency crosslinking using dextran is broadly employed by many industries. Some common uses of dextran include treating hemorrhage and burns, drug delivery, and radiological imaging3. The molecule is also used as a stabilizing and texturizing agent in food processing4. In industry, dextran is synthesized by growing the bacterial species Leuconostoc mesenteroides in sucrose-rich media and isolating the polysaccharide using acid hydrolysis1. >br>The synthesis of dextran is catalyzed by dextransucrase, an extracellular Class II enzyme expressed in these bacterial strains. Dextransucrase is a glucosyltransferase that catalyzes the transfer of glucosyl residues from sucrose to the dextran polymer, as described in the following chemical reaction5:
n Sucrose → n Fructose + Dextran [(glucose)n]
We believe this ropy syrup can be harnessed for other industrial purposes for its sucrose-rich content. Earlier this year, it was utilized in the creation of bioethanol fuels1; there is great potential in the recycling of the texturally defective syrup. In our project, a dextransucrase from L. mesenteroides NRRL B-512F is expressed in Escherichia coli and incubated in diluted off-flavor ropy syrup. This syrup serves as the sucrose media necessary for the bacteria to synthesize dextran. In using off-flavor syrup that is otherwise discarded, we have repurposed maple industry food waste for the novel use of producing valuable dextran.
Inspired by the versatility of dextran across various industries, Team Saptasense has created a way of repurposing the dextran created from off-flavor syrup to benefit the agricultural industry. The synthesized dextran from the syrup incubation is isolated and purified in order to create hydrogels. Hydrogels are cross-linked, hydrophilic polymers that have a variety of uses across many industries. Once formed, these gels are able to hold water without dissolving, making them a great tool for water and material delivery. We are particularly interested in creating suitable dextran hydrogels for use in the agricultural industry. Hydrogels are being increasingly utilized during germination and initial seedling growth to provide a consistent supply of water to the growing plant. Hydrogel usage is especially vital in areas of the world that experience recurring dry seasons and droughts6. We propose using the purified dextran from off-flavor syrup to create such hydrogels. Through this new technology, syrup that was once classified as waste is now given a novel function that will benefit its industry.
Experimental Design and Results
The DexYG biobrick (composite part BBa_K4130013) created by Team Saptasense was designed for constitutive, extracellular expression of the DexYG enzyme by transformed E. coli. The part contains a strong viral T7 promoter (part BBa_I712074) and ribosomal binding site (part BBa_B0034) for increased expression in vivo. The DexYG gene was optimized for translation in E. coli and contains a double transcription terminator sequence (part BBa_B0015).
Due to its relatively large size, the dexYG gene was purchased in two parts, dexYG1 and dexYG2, of equal length. To facilitate successful ligation, the fragments were PCR amplified using overlapping primers. The final fragments contained >20 bp 5’ and 3’ overhangs, respectively, that were complementary to one another. Additionally, overlapping primers were used to create overhangs on each fragment complementary to the linear pSB1C3 vector. To assemble the plasmid, we used the NEBuilder® HiFi DNA Assembly Cloning Kit from New England Biolabs. Similarly to a Gibson assembly, the NEBuilder® HiFi is able to assemble multiple fragments of DNA together with high efficiency given that the fragments contain overlaps that are complementary to one another. Once the assembly reaction was complete, we confirmed that our DexYG plasmid was completely assembled using gel electrophoresis. Transformation of E. coli was done using chemically competent DH5-ɑ from New England Biolabs.
The DexYG biobrick was successfully ligated to the linear vector to form a fully assembled plasmid, as confirmed by gel electrophoresis (Fig. 2). Transformation of the plasmid into E. coli could not be completed due to time constraints; however, ropy syrup samples were acquired and used as the media from which dextran was isolated. Through this ropy syrup experimentation, we are able to show how the dextran, once produced by the recombinant bacteria, can be utilized for the creation of hydrogels.
50 mL of ropy syrup was used during this isolation protocol. 3.2 mg of dried product was isolated from the dialyzed retentate (Figure 4). If we apply this isolation protocol to a full gallon (3.78 L) of ropy syrup, then we would expect to isolate 64 mg of dextran. Given that over 500 barrels of ropy maple syrup have been produced per year in Canada alone since 2014 [9], and each barrel can hold 30-45 gallons (CDL Sugaring Equipment, St. Albans, VT, USA), then, at a minimum, 960 g of dextran can be isolated from ropy maple syrup per year in Canada. If recombinant DexYG E. coli were to be incubated in the syrup to upregulate the production of dextran, then the amount of dextran that can be isolated from the ropy syrup would significantly increase. This shows that there is great potential in harnessing the defected ropy syrup as an alternative substrate for the isolation of large quantities of dextran.
To create these hydrogels, solutions of 10% (w/v) and 20% (w/v) dextran were created by dissolving dextran in 2.8M NaOH solution. Varying percentages (w/w) of MBAm were added to each solution to create unique hydrogels of various dextran and MBAm compositions. These gels were allowed to solidify overnight at 25℃ before swelling in deionized water at room temperature for 24 hrs. The mass of water absorbed by the gels was measured after the swelling period. Various assays were performed on the swelled gels to characterize their ability to successfully retain and carry water and nutrients to growing plants. These assays included a swelling test in solutions of various pH values to simulate different chemical compositions in soil and a diffusion test to determine how gel pore size created through MBAm crosslinking affected how well nutrients could travel through the gel.
Our first five hydrogels were made with 20% (w/v) dextran and 40%, 50%, 60%, 70%, 80% (w/w) MBAm crosslinker, respectively, which is consistent with hydrogels made in previous literature [8]. While the gels did form and held the shape of the disc in which they were formed, structurally they were hard (not gel-like), brittle, and more translucent-opaque rather than transparent. This structure and formation of gels can be reasoned by the overabundance of crosslinker, producing a brittle hydrogel (Fig. 5).
After initial results of the hydrogels, we decided to remake three 20% dextran gels using the following decreased w/w crosslinker amounts: 10%, 20%, and 30% MBAm, respectively. The second set of gels appeared to be more gel-like as they were transparent, held their shape, and were not as brittle as the initial gels with higher concentration of crosslinkers, therefore the decreased amounts of MBAm were qualitatively better forming hydrogels (Figure. 6A).
Following the crosslinking, the hydrogels were immersed in water for overnight bath to get rid of the excess MBAm that didn’t crosslink with dextran. After the overnight water bath, the three gels plus a 0% MBAm control gel were massed to find their water absorbance capacity. All three gels showed very similar water absorption capabilities as they retained water ranging from 2.66 g to 2.84 g (Fig. 7). The water absorption capacity is one of the most essential properties of a hydrogel as it characterizes the holding capacity of the gel and thus predicts its uses. Therefore, based on the water holding capacity we chose to move forward with our hydrogel assays using 20% dextran and 10% MBAm. The water absorption difference between the highest crosslinker concentration (30%) and the lowest MBAm concentration (10%) was calculated as 7.41%. This difference compared to the overall cost of production between the two hydrogels convinced us that the 10% crosslinking agent was much better for the dextran hydrogels for two reasons: one that it would reduce the amount of MBAm used per hydrogel, therefore reducing cost, and two the lesser mass of chemical crosslinker, the more organic is the hydrogel. Therefore, the 20% dextran and 10% MBAm was identified as the better composition that was keeping the gels simple while still delivering a relatively large amount of water to seeds and seedlings.
After observing the effects of various concentrations of the cross-linking agent, we were curious to observe the effect of varying concentrations of dextran in producing hydrogels. Thus, our next steps included making hydrogels using 10% dextran. We primarily chose 10%, as our overall goal was to create the best characteristic hydrogel (water holding capacity, pore size, pH stability, and diffusion) at the cheapest price and thus with the least amount of the reactants. To test this, three gels were created using 5%, 10%, and 20% MBAm crosslinker. Similarly to the successful 20% gels, the 10% dextran gels formed with a gel-like structure, transparent-translucent in composition, and held their structure when turned upside down (Fig. 6B, 6C). All of these properties, therefore, initially suggested that a 10% dextran hydrogel is able to form a gel very similar to a 20% dextran hydrogel. The 10% hydrogels were then quantitatively tested for their properties by immersing them in an overnight incubation of water to get rid of excess MBAm and to measure the water holding capacity post the incubation period. Following the overnight incubation, the three gels plus a 0% MBAm control were massed to calculate water absorbance. The 10% dextran with 20% MBAm showed the greatest absorbance of water (1.95 g) compared to the other 10% dextran gels (Fig. 7).
This mass of absorbed water is comparable to 2.66 g absorbed by the previously chosen 20% dextran with 10% MBAm gel. For this reason, we chose to move forward with our assays using 20% MBAm crosslinker in our 10% dextran gels.
In addition, the pores in the 10% dextran gel have an average pore width larger than that in the 20% dextran gel (Fig. 10).
Because the 20% dextran gel maintained its structural integrity post-swelling compared to the 10% dextran gel (Fig. 11), we decided to create an intermediary 15% dextran gel that would resemble a 20% gel in its structure while also maintaining the increased porosity of a 10% gel.
The cross linker also plays a significant role in determining the structural integrity of the hydrogel, therefore the final 15% dextran gel used an intermediate 15% amount of MBAm crosslinker to provide it with a structure stronger than that of a 10% MBAm crosslinked hydrogel. As predicted by the patterns of a 10% and 20% gel, the 15% dextran hydrogel does show an increase in the pore density compared to the 20% dextran gel, but the average pore diameter remained the same as the 20% gel (Fig. 9B, 10). From these results we can conclude that the concentration of dextran may have an effect on the overall pore density within the gel. Further testing is needed to determine if dextran concentration has a significant impact on the average gel pore diameter. Since the 10% and 20% dextran gels had similar water retention capabilities, it is likely that the differences in pore size and density will have a greater effect on the ability of the gels to deliver this water and other nutrients to the plants.
Conclusion
Dextran is a widely utilized exopolysaccharide with application across various industries. It is the molecule responsible for the stringy texture found in ropy syrup, an increasingly common off-flavor maple syrup that is responsible for millions of dollars in losses over the past decade. Team Saptasense has shown that there is great potential in harnessing this texture-defective ropy maple syrup which would otherwise be discarded as food waste. We have shown that the numerous barrels of ropy syrup produced each year in the U.S. and Canada are capable of producing over 1 kg of dextran per year through isolation techniques alone; this number can increase exponentially with the use of recombinant bacteria to convert the remaining sucrose in the syrup to dextran. We also demonstrate that this isolated dextran can be an incredibly useful material for the production of hydrogels. The hydrogels we have created are capable of absorbing large quantities of water relative to their sizes across a wide range of pH values. We also show that seeds are able to germinate on the gels, supporting the practicality of using these gels in the agricultural industry.
References
- de Medieros Dantas, J.M. et al., Bioethanol Production as an Alternative End for Maple Syrup with Flavor Defects. Fermentation 2022, 8: 58. https:// doi.org/10.3390/fermentation8020058
- Díaz-Montes, E. Dextran: Sources, Structures, and Properties. Polysaccharides 2021, 2, 554–565. https://doi.org/10.3390/ polysaccharides2030033
- Miao, K.H.; Guthmiller, K.B. Dextran. National Library of Medicine via StatPearls, 2022. PMID: 32491563
- Zhang, H., Hu, Y., Zhu, C. et al. Cloning, sequencing and expression of a dextransucrase gene (dexYG) from Leuconostoc mesenteroides. Biotechnol Lett 2008, 30, 1441–1446. https://doi.org/10.1007/s10529-008-9711-8
- Dols, M.; Remaud-Simeon, M. et al. Characterization of the Different Dextransucrase Activities Excreted in Glucose, Fructose, or Sucrose Medium by Leuconostoc mesenteroides. Appl Environ Microbiol 1998, 64(4), 1298-1302. https://doi.org/10.1128/AEM.64.4.1298-1302.1998
- Dhanapal, V. et al. Design, synthesis and evaluation of N,N1-methylenebisacrylamide crosslinked smart polymer hydrogel for the controlled release of water and plant nutrients in the agriculture field. Materials Today: Proceedings 2021, 45(2): 2491-2497. https://doi.org/10.1016/j.matpr.2020.11.101
- Zhang, H. et al. Cloning, sequencing and expression of a dextransucrase gene (dexYG) from Leuconostoc mesenteroides. Biotechnol Lett 2008, 30, 1441–1446. https://doi.org/10.1007/s10529-008-9711-8
- Imren, D. et al. Synthesis and characterization of dextran hydrogels prepared with chlor- and nitrogen-containing crosslinkers.J. Appl. Polym. Sci., 102: 4213-4221. https://doi.org/10.1002/app.24670
- Pelletier, M. et al., Ropy Maple syrup. Centre ACER, 2018. https://mapleresearch.org/wp-content/uploads/ropy-maple-syrup-presented-at-the-namsc-tech-sessions-2018.pdf
Choline Module
Background
The maple syrup season in Upstate New York generally starts in early February and can last for three to eight weeks depending on different weather conditions or the species of tree being tapped [1]. As the seasons change, the weather warms up, causing the maple trees to begin the budding process. This budding process leads to changes in the chemical composition of sap within the tree, which when boiled down to make syrup forms compounds that cause an off-taste to appear. This taste, which is usually described as cabbage-like, renders the syrup unsellable and results in a profit loss for the sugarmakers [2]. However, the presence of these buddy chemicals is not currently detectable in the sap, meaning that the sugarmakers have no way to know if they will be producing buddy syrup until time and energy has already been invested in making the syrup.
Application to Detection of Buddy Maple Sap
One of the molecules associated with buddy syrup is choline. Choline (aka bilineurine) is an organic compound containing a N, N, N-trimethylethanolammonium cation and has a molecular weight of 104.17 g/mol [8]. It is an important metabolite in humans (as a precursor to the neurotransmitter acetylcholine), but it is found in maple sap as well [8]. Right before the maple trees start to bud, the choline concentration increases in the sap from 0.1 uM to around 20 uM [7]. This makes choline an appropriate choice of molecule to detect when sap is buddy. Additionally, choline can be broken down into glycine betaine and hydrogen peroxide [9]. Team Saptasense has developed an electrochemical biosensor that utilizes the enzyme choline oxidase (similar to using glucose oxidase in a glucometer) to detect choline concentrations in sap, thereby determining if the sap is fit for further processing.
Description
Biological Parts
We obtained choline oxidase by expressing the choline oxidase gene from Arthrobactor globiformis in Escherichia coli. Our A. globiformis choline oxidase biobrick contains the coding sequence for the enzyme plus a 6x Histidine tag on the C-terminal end for easy protein purification (BBa_K13004). Because the goal of choline oxidase expression was to produce large amounts of enzyme, we designed it to include the choline oxidase part with a strong T7 promoter (BBa_I712074) and a strong ribosome binding site (BBa_B0034) for high protein yield. Our part also contains a TAA double terminator (BBa_B0015). We designed the part with restriction sites for EcoRI, XbaI, SpeI, and PstI corresponding with the pSB1C3 plasmid so we could easily insert the part into the plasmid using 3A assembly.
Experiments/Results
Following successful cloning of the choline biobrick, we transformed the choline oxidase plasmid into E. coli BL21(DE3) for protein purification. We used this strain to maximize protein production using the IPTG-inducible T7 promoter on our biobrick (BBa_I712074). By adding differing amounts of IPTG to growing cultures of choline oxidase-transformed E. coli BL21(DE3), we differentially increased the production of choline oxidase by the cells. Samples of each culture were run on a SDS-PAGE gel to see which concentration of IPTG produced the maximum amount of choline oxidase production (Fig. 2). After a small-scale induction test demonstrated that the optimal concentration of IPTG for choline oxidase induction is 0.5 mM (Fig. 2), we performed a large-scale induction to generate our supply of enzymes.
To investigate activity of the purified choline oxidase, we measured hydrogen peroxide production in the presence and absence of the choline substrate (Figure 5). 100mM choline conditions resulted in high relative absorbance, indicating the production of the hydrogen peroxide byproduct of choline oxidation. Comparatively, conditions lacking choline substrate display constant low absorbance, conveying a lack of hydrogen peroxide production. These results demonstrate the activity of purified choline oxidase, and the functionality of BioBrick BBa_K413005.
To test the functionality of our bioassay, we designed an experiment that would replicate the conditions in which an end-user would interact with our product. “Test samples” containing choline in various concentrations were applied to our bioassay and the choline concentration was predicted. Briefly, various choline concentrations were prepared, and 0.1 uM choline oxidase was added. The rate of the proceeding reaction was measured via the colorimetric assay. Measured reaction rates were applied to the experimentally determined Michaelis-Menten curve (Figure 6), and a predicted choline concentration was produced (Figure 7). Within the range of 0-100uM choline, our assay produced accurate predictions with minimal percent error. At higher concentrations, error in the predictions increased. This indicates that in its current iteration, the bioassay is best suited for lower concentrations of choline. This range of detection corresponds similarly to the range of concentrations of choline found in maple sap. While normal maple sap has negligible concentrations of choline, buddy sap exhibits concentrations closer to 20uM choline. Thus, these data demonstrate that the range of our choline biosensor is appropriate for the detection of buddy maple sap.
Since the choline oxidase enzyme shows similar activity in sucrose media and in PBS buffer, we next investigated whether choline oxidase could still distinguish between varying concentrations of choline in the sucrose buffer (Figure 9). We incubated 1 uM choline oxidase with varying concentrations of choline in a 1% sucrose solution. We observed that solutions containing smaller concentrations of choline produced very little signal while the solutions containing higher concentrations of choline produced higher levels of signal at a faster rate than solutions containing lower concentrations (Fig. 9). These results demonstrate that sucrose does not affect the impact of varying choline concentrations on choline oxidase activity.
Conclusions
Team Saptasense has made strides toward the development of a novel, enzymatic biosensor for the small molecule choline. Our sensor is capable of reliably predicting unknown concentrations of choline in the range of 0-100uM. Importantly, this range of reliability encompasses the concentrations of choline found in normal and “buddy” sap. Further, we have demonstrated the choline-dependent activity of the enzyme in sap-like conditions. When taken together, our data indicate the suitability of our biosensor for choline detection in maple sap and prediction of “buddiness”. To our knowledge, we have developed the first known biosensor for the detection of “buddy” maple sap. In future experiments, we will improve the accessibility of our technology to sugarmakers, implementing hardware to produce an easily-interpretable electrochemical readout.
References
- County, Washington County NY Tourism. “New York Maple Season Is Here.” Washington County NY, 18 Mar. 2022, https://washingtoncounty.fun/new-york-maple-season-2021/#:~:text=Tap%20Into%20Spring%3A%20New%20York%20Maple%20Season%20is%20Here&text=Every%20February%20and%20March%2C%20producers,3%2D8%20weeks%20on%20average.
- Miller, David. “What Causes Buddy Syrup and What Can Be Done to Prevent It?” Maple Research, Maple Syrup Digest, 1 Mar. 2021, https://mapleresearch.org/pub/buddy0321/.
- “NEB® 5-alpha Competent E. coli (High Efficiency).” New England Biolabs, New England Biolabs, Inc. https://www.neb.com/products/c2987-neb-5-alpha-competent-e-coli-high-efficiency#Product%20Information
- Godat, B, et al. “MagneHis™ Protein Purification System: Purification of His-Tagged Proteins in Multiple Formats.” Attractive Protein Purification, 2003.
- Fan, Fan, and Giovanni Gadda. “On the Catalytic Mechanism of Choline Oxidase.” Journal of the American Chemical Society, vol. 127, no. 7, 2005, pp. 2067–2074., https://doi.org/10.1021/ja044541q.
- Taylor, Fred H. Variation in Sugar Content of Maple Sap. University of Vermont and State Agricultural College, Mar. 1956, https://www.uvm.edu/~uvmaple/sapsugarcontentvariation.pdf.
- Garcia, E. Jose, et al. “Metabolomics Reveals Chemical Changes in Acer Saccharum SAP over a Maple Syrup Production Season.” PLOS ONE, vol. 15, no. 8, 2020, https://doi.org/10.1371/journal.pone.0235787.
- “Showing Compound Choline (FDB000710).” FooDB, The Metabolomics Innovation Centre, 17 Sept. 2020, https://foodb.ca/compounds/FDB000710#:~:text=Choline%2C%20also%20known%20as%20bilineurine,many%20plants%20and%20animal%20organs.
- Gadda, Giovanni. “Choline Oxidases.” PubMed.gov, U.S. National Library of Medicine, 18 July 2020, https://pubmed.ncbi.nlm.nih.gov/32951822/#:~:text=Choline%20oxidase%20catalyzes%20the%20four,cells%20to%20counteract%20osmotic%20pressure.
Sarcosine Module
Background
An increasingly prevalent problem sugarmakers face is the production of off-flavor buddy syrup, a cabbage-tasting syrup created from sap tapped late in the season. According to the U.S. Department of Agriculture, buddy syrup “fails to meet requirements of Grade A syrup” [29] and is therefore deemed unfit for human consumption. This occurs when maple trees near the end of the season and start developing buds. During this period, known as bud break, particular amino acids and amino acid derivatives including sarcosine, methionine, asparagine, choline, lysine, and others increase in concentration [1]. Research suggests that these compounds act as methyl (-CH3) donors and therefore, at rising concentrations, alter the tree's metabolic profile to the point of affecting the flavors of the syrup boiled from sap [2]. Currently, no preventative detection methods for buddy syrup exist, meaning that sugarmakers boil down thousands of gallons of sap, causing up to 10% loss of annual income [3]. To combat this problem, our team has targeted 3 of these small molecular compounds - sarcosine, choline, and asparagine - with unique detection assays for determining each molecule’s presence in sap. By combining detection methodologies for each of these small molecules into one unit, Team Saptasense provides a comprehensive biosensor kit that can test whether or not sap is buddy, and therefore prevent waste caused by the unnecessary production of buddy, inedible syrup.
To target sarcosine, a known buddy flavor-causing compound, our team developed an electrochemical aptasensor. The aptasensor utilizes previously established aptamers, single-stranded DNA (ssDNA) sequences that can fold to form pin-loop structures, that selectively and strongly bind to sarcosine. To precisely detect sarcosine levels in maple sap samples, aptamers are placed on electrodes to exploit the folding “aptasensor” mechanism, which causes a change in electrode resistance upon the aptamer binding its target, sarcosine. This binding event induces a difference in the electrical current that can be detected as a signal by an electrical circuit mechanism, like an Arduino Uno circuit board. Collectively, our aptasensor has 3 different components that contribute to sarcosine detection: the aptamer component, an electrode component, and the electrochemical modification components.
Application to Detection of Buddy Maple Sap
Sarcosine (aka N-methylglycine, Fig 1.) is an amino acid derivative with a molecular weight of 89.09 g/mol and with an amino acid-like structure maintaining the typical 𝜶 carbon, carboxyl group, and hydrogen in the R-group position[4]. However, the molecule has a secondary amine replacing the position of the typical 𝜶 amino group, similar to glycine. It is a byproduct of creatine hydrolysis [8] and an intermediate and byproduct of both glycine and choline metabolism [4]. Because sarcosine is additionally found to increase in concentration from 0.01uM to 0.12 uM over the course of the 4-6 week maple season, we decided to aim our sensor at detecting this molecule to sense levels of sap “buddiness”[1, 9].
Aptasensor Design Components
Our sarcosine aptasensor has 3 primary components in order to detect sarcosine concentrations in sap. In order to develop an effective and fully operating aptasensor we utilized the following design components:
- Basic Biological Parts: We applied the strong, specific binding properties of our novel BioBricks, BBa_K4130014 and BBa_K4130015, to detect free sarcosine molecules. To learn more about our modified ssDNA aptamers, Sar09-3 and Sar11-5, see the Biological Parts section below.
- Screen Printed Electrodes (SPEs): SPEs are “disposable, low-cost and portable [electrochemical] devices” that are made by screen printing conductive ink materials onto plastic or ceramic [21]. To learn more about Screen Printed Electrodes, the types we used, and how we used them, see our Hardware page
- Electrochemical Modifications: Modifications are critical to refining the detection threshold of our sensor to detect micromolar concentrations of sarcosine. Modifications by materials such as nanoparticles can increase electrode surface area and conductivity, and therefore improve detection sensitivity [21]. See the Method Design Process section below to learn more.
- Electrochemical methods: In order to detect our target molecule electrochemically, our team utilized cyclic voltammetry (CV) and chronoamperometry, and differential pulse voltammetry (DPV) techniques by means of a potentiostatic instrument that circulates and measures electrical current. See the Method Design Process section below to learn more about how we used our potentiostat, and to learn more about these electrochemistry was used to characterize our aptasensor, see our Hardware Page
Biological Parts
Two basic biobricks are the primary biological components of this module. They are ssDNA aptamers for free sarcosine with a 3’ and 5’ amine modification, respectively, named Sar09-3 (see part registry [19]: BBa_K4130014) and Sar 11-5 (see part registry [20]: BBa_K4130015). Information about these basic parts, why we chose them, and how they were used for our project can be found below.
A primary goal during the brainstorming and implementation stages of our project was to develop an expansive selection of buddy sap detection methods. We chose to target multiple molecules (sarcosine, choline, and asparagine) via three distinct detection methods. After designing modules for applying enzymatic and whole cell agglutination biosensors, we were inspired by the rapidly developing applications of aptamers in conjunction with electrochemical biosensors [22]. One particular study utilizing aptasensors for detecting tryptophan also drew us toward the usage of screen printed electrodes (SPEs), which you can read more about in the SPEs and Electrode Modification section below [7].
The second study, conducted in 2019, discovered a high-specificity aptamer via the GO-SELEX selection method. The selective aptamer indicated even stronger binding than that of the previous study, with a dissociation constant of 0.33 ± 0.05nM, and was developed in urine-like buffer conditions [6]. The secondary structure of this aptamer, which we named Sar09-3 (Fig. 4) has the following sequence, 5’-3’: TAGGGAAGAGAAGGACATATGATGTGCCGCGCTTCCCTTGCCGCTCAAAACAGACCACCCACTTTGACTAGTACATGACCACTTGA*
*Underlined portions indicate the consensus sequences of all developed sarcosine aptamers in the respective aptamer selection studies
Since freshly tapped sap can range between pH 3.9 to pH 7.9 [15], we also wanted to test two different aptamers in order to consider whether the more neutral [14] or acidic [6] selection conditions impacted the binding capabilities of aptamers in sap-like conditions.
SPEs and Electrode Modifications
To detect when our aptamer is bound to sarcosine, an electrode such as a screen printed electrode (SPE) is necessary to produce a quantifiable electrochemical signal. We were inspired to develop our sarcosine aptasensor to use SPEs in comparison to more expensive alternatives, similar to a recent tryptophan-aptasensor study [7]. In addition, we applied nano-material electrode modifications to our design as to improve SPE performance. This was similarly inspired by material usage of chitosan, carbon-based and gold-based nano-particles (MCWNTs and AuNPs respectively) that were used in the aforementioned study.
Essential Concepts
We executed electrochemical techniques such as cyclic voltammetry (CV), chronoamperometry, and differential pulse voltammetry to quantitatively characterize aptamers binding to ourSPEs. Brief descriptions of these methods, including how and why they are used, are discussed below.
While this current is cycled through an electrode, the working electrode is immersed in a redox solution. Redox reagents are ionic compounds that, under application of an electrical current, undergo a reduction reaction that unfavorably introduces 1 electron to the compound, which reverts back to an oxidized state. One of these redox reagents, potassium ferricyanide, is commonly used for its ability to reduce to potassium ferrocyanide [31] and is the redox reagent we chose to utilize for our CV purposes. Methylene blue is also a commonly used redox reagent that we chose to employ.
Like CV, chronoamperometry is another electrochemical technique that depends on current and applies a square-wave potential to an electrode under excess voltage conditions. The current of the electrode fluctuates according to the diffusion of an analyte from the bulk solution toward the sensor surface. Similarly, it is run in the presence of a redox solution and can be used to examine the electrochemical activity and stability of electrocatalysts. This method was applied to aptamer binding event measurement rather than electrode characterization.
In addition to CV and chronoamperometry, differential pulse voltammetry, a potentiostatic method was used to offer some additional advantages in which the waveform is a series of pulses increasing over a linear baseline instead of producing square-wave potentials under voltage conditions. DPV is a pulse technique that is designed to minimize background charging currents. The base potential value is chosen and applied to the electrode and is increased with equal increments over a time period, during which the current is immediately measured before the pulse application and the end of the pulse forming a pulse wave by recording the difference between the start and the end of the pulse [32]. DPV is therefore a first derivative of a linear voltammogram in which the formation of a peak is observed for a given redox process. In general, DPV is a more sensitive method than the linear sweep methods (CV) because there is minimization of capacitive current. Therefore, the combination of CV, chronoamperometry, and DPV provides essential information to characterize our SPEs and aptamer binding.
In order to run analytical electrochemical techniques like those outlined above, a current must be consistently applied. These instruments are called potentiostats (Fig. 6), and more specifically contain multiple internal circuits that can generate, hold out, and measure such potentials and currents. Our team was donated a PalmSens4 Potentiostat in order to run these protocols, seen in the image above [33].
Electrodeposition is the method of depositing desired solutions onto a working electrode by means of submerging the working electrode in a solution of the desired material and applying either a static or CV/chronoamperometric current. This usually entails adding a redox reagent into solution to ensure proper electron transfer and material-to-electrode assembly.
Comparatively, dropcasting usually takes longer than electrodeposition to apply materials to the electrode due to the associated drying (and sometimes washing) steps. It is also less consistent due to the increased margin of human error, to include non-homogenous solution dispersion or over or under-covering the electrode surface area.
For the purposes of our project, aptamers were only dropcasted onto already modified electrodes. However, we tested both dropcasting and electrodepositing of our nano-composite materials to determine the most optimal electrode modifications, as seen in our Method Design Process below.
Method Design Process
Once we selected our project and target molecules at the end of the brainstorming stage, we searched to find the most effective manner of binding aptamers while increasing electrode conductivity and sensitivity. In order to optimize our procedure for developing a final, functional aptasensor, we evaluated and designed multiple protocols.
AuNPs on carbon SPEs | |||
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Why this protocol? | The article this protocol was based on inspired our team’s initial development of SPE modification processes, which remained constant throughout the project until our final prototype development [7]. | ||
SPE Type | Modification Materials | Pros | Cons |
Carbon | Gold Nanoparticles (AuNPs) | Increases sensitivity, thiol binding properties ideal for aptamer immobilization | Requires HAuCL4, a hazardous and expensive reagent |
Multi Walled Carbon Nanotubes (MWCNTs) | Increases electrode conductivity as well as surface area on the WE | Expensive reagent making consumer accessibility non-feasible | |
Chitosan | Maintains film-formation properties ideal for aptamer adhesion and NP layer assembly | Difficult to disperse in solution for WE deposition |
Results
After eliminating MWCNTs due to cost and replacing them with BSA, we chose not to use this protocol due to the price and hazardous nature of the AuNP synthesizing reagent, HAuCl4. Therefore this method did not reach the experimental stage. Because of this method, however, we wanted to continue using chitosan and rGO.
Chemically reduced GO (crGO)/chitosan/GA/aptamer on carbon SPEs | |||
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Why this protocol? | After deciding not to use MCWNTs or AuNPs, we looked into Rochester 2021 BioSpire team’s SPE use and additionally found a study that also used chitosan in compound with reduced graphene oxide (rGO) and glutaraldehyde (GA) [25]. Based on that study, we decided to devise a novel protocol using those nano-materials to modify our aptasensor. Ferricyanide was the utilized redox reagent/mediator for this protocol. | ||
SPE Type | Modification Materials | Pros | Cons |
Carbon SPEs: Both Zimmer and Peacock [ZP] and DropSens brands.ZP Hyper Value SPEs had significantly less surface area for drop-casting (pipetting) modification reagents/materials, but were significantly cheaper than DropSens at 99 cents per SPE [26]. However, DropSens electrodes (Fig. 9) maintain more surface area as well as cover other sensitive electrode components [27]. | Reduced Graphene Oxide | Increases electrode conductivity as well as surface area on the WE, cost-friendly modification | More fragile and lower quality than alternative carbon based NP materials |
Chitosan | See Method 1 | See Method 1 | |
Glutaraldehyde | Effectively crosslinks amine groups to one another, contributing to effective aptamer immobilization | Hazardous reagent that non-selectively crosslinks; aggressively condenses amines with well known medical properties in tissue fixation [28]. |
Results
This method indicated that electrode modification with crGO increased conductivity of our aptasensor mechanism, which in turn increases electrode sensitivity. After CV was performed (10 cycles at a scan rate of 0.2 V/s) for each of the two conditions on the same SPE, an increase of 0.4 uA (Fig. 8) occurred as indicated by the increase in y-axes between the unmodified (bluish curve) and the crGO modified (greyish curve) electrode. When the aptamers were deposited (1uM solution) a minor increase in resistance of less than 0.1 uA (scan not depicted) occurred as expected, however, after incubating the electrode in multiple target molecule solutions (1uM, 100uM, and 1mM sarcosine to dH2O), there was no change in resistance, indicating either human error in dropcasting, chemical reduction of GO, or deficit in the detection threshold of the aptasensor itself.
On-SPE electrochemical reduction of GO, followed by dropcasting chitosan + GA/aptamer (2 steps) | |||
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Why this protocol? | By dropcasting water-dispersed GO on the WE, then running the SPE through a CV cycle to reduce the film to rGO, the reduction step is reduced by multiple hours and creates a more refined rGO film. The first method assembles the NP film in 2 steps where electrochemical reduction occurs before dropcasting chitosan. This protocol uses methylene blue as the redox reagent. | ||
SPE Type | Modification Materials | Pros | Cons |
Carbon SPEs: Both ZP Hyper Value and DropSens | Reduced Graphene Oxide | See Method 2 | See Method 2 |
Chitosan | See Method 1 | See Method 1 | |
Glutaraldehyde | See Method 2 | See Method 2 |
Results
This method indicated that the electrochemical reduction of GO to rGO on the electrode significantly increases electrode conductivity, in which the yellow curve indicates that the electrodeposited/reduced rGO SPE produces 0.3 mA more conductivity than the unmodified SPE in the red curve (Fig. 12). Run with the same CV conditions as Method 2, it is clear that this electrodeposition is both more efficient and effective (Fig. 13), resulting in nearly 750x magnitude of conductivity than the modifications done in Method 2 (0.3mA = 300uA, compared to 0.4uA).
To achieve this result, modification entailed the following before preparing aptamer immobilization.
- Cleaning: Each carbon electrode was washed with DI water
- Graphene oxide (GO):
- approximately 5uL of 2mg/mL GO was dropcasted onto the electrode
- 24 DPV cycles were ran in MB from 0 to -1.5 at 0.15V/s to electrochemically reduce the GO to rGO. Electrode was rinsed and dried with PBS
- Chitosan solution for DPV:
- a 1% chitosan solution was created by dissolving chitosan in 2% acetic acid, vortexing and incubating at 37C until dissolved. 5uL was dropcasted onto the electrode and let dry.
Novel On-SPE electrochemical reduction of GO in chitosan solution, followed by GA/aptamer (1 step) | |||
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Why this protocol? | By dropcasting water-dispersed GO on the WE, then running the SPE through a CV cycle to reduce the film to rGO, the reduction step is reduced by multiple hours and creates a more refined rGO film. In comparison, this method combines the electrochemical reduction with electrodeposition by combining GO/chitosan in solution and running a CV electrodeposition to make the NP film in one step, in comparison to the previous step. We therefore developed a novel modification protocol based on our previous knowledge and application of modification methods. It also utilizes methylene blue. | ||
SPE Type | Modification Materials | Pros | Cons |
Carbon SPEs: Both ZP Hyper Value and DropSens | Reduced Graphene Oxide | See Method 2 | See Method 2 |
Chitosan | See Method 1 | See Method 1 | |
Glutaraldehyde | See Method 2 | See Method 2 | |
Methylene Blue (MB) | It is a larger organic molecule with amino groups allowing gold and aminated aptamer binding. Studies show that incorporating MB with aptasensors increases the magnitude of folding effects [30] | Could potentially oversaturate the sensor readout, bind to other MB molecules in the presence of crosslinker, or oversaturate with aptamers to the point of omitting any signaling of aptamer binding. |
Results
Three conditions were run to test aptamer-sarcosine binding (Fig. 14). For context, the y-axis represents the current in µA and the x-axis represents the potential (V) of the DPV trial runs. For all trials, DPV was run for two cycles between 0.0V and 0.8V and used 1X PBS as the redox solution. Two control conditions were run in PBS where 2 trials were chitosan/MB modified gold SPEs (red and dark blue) and 2 trials were control chitosan/MB and aptamer modified gold SPEs (purple and light blue). The other 2 trials were chitosan/MB and aptamer modified gold SPEs (orange and green curve) that were incubated with 100uL of 1M sarcosine solution at room temperature for 15 mins.
After the two tests were run, results show that a significant resistance change of almost 3 uA (orange curve) and 1uA (green curve) for the respective trials occured after contact with the sarcosine solution. This demonstrates that Sar09-3 successfully bound to the target molecule, sarcosine. When compared to the other methods in this module, it has maintained the most positive and significant results, and is therefore established Method as the most successful aptasensor development protocol in this module.
This novel and effective carbon SPE modification was developed by performing 2 new steps. The values for DPV were the same for this modification method as Method 3.
- GO/Chitosan solution for DPV: 50% of 1% chitosan solution was combined with a 2G/L GO solution (make a final composition of a 0.5% chitosan, 1% acetic acid, 1G/L GO solution)
- Methylene blue intercalation: 10uL of 20mM Methylene blue was dropped on the dry modified carbon electrode and allowed to rest for 5 minutes before thorough washing with pH 8 Tris HCL buffer.
Further comparative analysis: Raman Spectroscopy
Another way we compared carbon SPE modifications to determine optimal deposition methods was by performing Raman Spectroscopy. Raman Spectroscopy (RS) is an important tool for investigating the unique “chemical fingerprints” of solid and liquid samples. It investigates the vibrational, rotational, and other low-frequency interactions in a molecule, providing characteristic information about the structure and formation of the sample. The principle of Raman, described as the “Raman Shift”, is the change in wavelength of the photon scattered based on the characteristic of the sample’s molecules [34]. Specifically, when our samples were exposed to a light source during RS, the light interacted with the sample molecules and either got absorbed or scattered (Fig. 15). Additionally, RS provides information based on the energy changes experienced by interacting photons, which is a result of the rotational or vibrational energies of a molecule. These energy changes are specific to the Carbon-Carbon chemical bond, and therefore provide information about the unique chemical properties of a molecule. Altogether, the recorded Raman shift and energy changes of our sample provided significant evidence for comparing the methods for reducing graphene oxide and SPE modification.
Crosslinking aptamers intercalated with Methylene Blue to chitosan covered gold SPE | |||
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Why this protocol? Protocol Link: | Gold SPEs are much more sensitive than carbon SPEs, but are slightly more expensive due to quality. When the aptamer binding event occurs and the aptamer folds, it will be bonded with MB, which allows for the folding event to maintain greater steric hindrance and therefore increase resistance (i.e. greater signal readout) of electric current passing through the electrode. We utilized gold rather than carbon SPEs due to their binding properties to amine groups as well. | ||
SPE Type | Modification Materials | Pros | Cons |
Gold SPEs by DropSens. | Methylene Blue (MB) | See Method 4 | See Method 4 |
Chitosan | See Method 1 | See Method 1 | |
Glutaraldehyde | See Method 2 | See Method 2 |
Results
Three conditions were run to test aptamer-sarcosine binding (Fig. 16). In all data, the y-axis represents the current in µA and the x-axis represents the potential (V) of the DPV trial runs. For all trials, DPV was run for two cycles between 0.0V and 0.8V and used 1X PBS as the redox solution. Depicted above are one experimental and two control conditions where two control trials were chitosan/MB modified gold SPEs (red and dark blue), and two control trials were chitosan/MB and aptamer modified gold SPEs (purple and light blue), and the two experimental trials were chitosan/MB and aptamer modified gold SPEs (orange and green) that were incubated with 100uL of 1M sarcosine solution at room temperature for 15 mins.
After the two tests were run, results showed a significant resistance change of more than 1.5 uA for the orange curve after contact with the sarcosine solution, indicating that the aptamer successfully bound to the target molecule. Generally, the curves are less favorable than that of the results in Method 4, reinforcing Method 4 as the more optimal method for aptamer immobilization in this module. Reasoning for the second test electrode not binding can be attributed to human error with the crosslinking or rinsing steps regarding aptamer immobilization.
For preparing the gold electrodes for this protocol, the below steps were followed.
- Each gold electrode was washed with DI water and cleaned by electrochemical cycling in 0.1M sulfuric acid for 0.6 to 1.6V at scan rate 0.5V/s for 100 scans.
- Chitosan was applied to the electrode by submerging the electrode in the 1% chitosan solution and applying a constant current of 25μA (200 μA/cm2) for 120s
- Electrode was washed with DI water and then soaked in 1M NaOH for 5 minutes.
- MB intercalation (as seen in Method 4)
Preparing Aptamers for Electrode Immobilization
For all aptasensor protocols, the aptamers needed to be in a solution compatible with electrode immobilization. Once the ordered aptamers were received, they were reconstituted in ddH2O and vortexed vigorously for 30 seconds (or until completely mixed) to make a 1M stock solution that was stored in -20oC for future usage. The aptamers were always thawed on ice and were stored in aliquots to prevent excessive freeze-thaw cycles. Regardless of electrode modifications, in order to execute the final step of aptamer immobilization, the WE of the SPE was always submerged in glutaraldehyde, quenched with 1X PBS, then left to completely dry. Once dry the aptamer solution was always dropcasted in volumes no greater than uL, then rinsed again in PBS once dried.
Conclusion and Future Directions
After applying four full cycles of collective protocol research, design, building, and execution, this module ultimately demonstrated that both of our aptamers were able to immobilize on screen printed electrodes(SPEs) modified with innovative nanocomposite materials, as well as showing that our basic Sar09-3 part can definitively detect sarcosine. While developing our sarcosine-specific aptasensor, we also devised a novel protocol that applies groundbreaking SPE modification research to accommodate the goal of achieving a cost-effective prototype. By using carbon SPEs, we offer a competitive alternative to more expensive electrode options on the market, like glassy carbon electrodes and the gold SPEs we tested for our aptasensor use. In addition, comparing the data between our new carbon-based SPE aptasensor to that of our gold aptasensor, the exposure of the same sarcosine concentration to both Method 4 electrodes and Method 5 electrodes revealed that Method 4 yielded a current change (avg. 1.7uA) over two times that in Method 5 (avg. 0.7uA). This suggests that carbon SPEs can achieve the high sensitivity and conductive qualities of more expensive, inaccessible electrode options like gold SPEs. Therefore Method 4 achieved the most significant data suggesting sarcosine binding, making it our team’s most preferred aptasensor development method. To learn more about the success of our aptasensor and how it was developed, please check out our Hardware Page.
Future goals of our project would entail application of more variable and intensive aptamer modification trials to achieve a more expansive characterization of the aptasensor. In addition, a comparison test to evaluate the differences in folding events between the experimentally tested Sar09-3 with that of the theoretical applied basic part, Sar11-5, would further optimize the fidelity of a final aptasensor prototype.
From these results, Team Saptasense introduces an opportunity to establish more inclusive and widely available engineering solutions for marginalized groups. This attributes not only to the local sugarmakers in our region, but to all small local businesses, disabled and indigenous communities, and to many more that we worked with throughout the course of our project.
References
- N’guyen, Guillaume Quang, et al. “A Systems Biology Approach to Explore the Impact of Maple Tree Dormancy Release on Sap Variation and Maple Syrup Quality.” Nature News, Nature Publishing Group, 2 Oct. 2018, https://www.nature.com/articles/s41598-018-32940-y.
- Garcia, E Jose, et al. “Metabolomics Reveals Chemical Changes in Acer Saccharum SAP over a Maple Syrup Production Season.” PloS One, Public Library of Science, 20 Aug. 2020, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444596/.
- Miller, David. “What Causes Buddy Syrup and What Can Be Done to Prevent It?” Maple Research, Maple Syrup Digest, 1 Mar. 2021, https://mapleresearch.org/pub/buddy0321/.
- “Sarcosine.” National Center for Biotechnology Information. PubChem Compound Database, U.S. National Library of Medicine, https://pubchem.ncbi.nlm.nih.gov/compound/Sarcosine.
- Zhu, Guizhi, and Xiaoyuan Chen. “Aptamer-Based Targeted Therapy.” Advanced Drug Delivery Reviews, U.S. National Library of Medicine, Sept. 2018, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6239901/.
- Özyurt, Canan, et al. “A Highly Sensitive DNA Aptamer-Based Fluorescence Assay for Sarcosine Detection down to Picomolar Levels.” International Journal of Biological Macromolecules, Elsevier, 6 Feb. 2019, https://www.sciencedirect.com/science/article/pii/S0141813018364171?via%3Dihub#bb0175..
- Hashkavayi, Ayemeh Bagheri, and Jahan Bakhsh Raoof. “Ultrasensitive and Reusable Electrochemical Aptasensor for Detection of Tryptophan Using of [Fe(Bpy)3](p-CH3C6H4SO2)2 as an Electroactive Indicator.” Journal of Pharmaceutical and Biomedical Analysis, Elsevier, 3 Oct. 2018, https://www.sciencedirect.com/science/article/pii/S0731708518318065?via%3Dihub
- “Sarcosine.” Sarcosine - an Overview | ScienceDirect Topics, https://www.sciencedirect.com/topics/chemistry/sarcosine.
- “How Maple Syrup Is Made.” How Maple Syrup Is Made - Vermont Maple Sugar Makers, https://vermontmaple.org/how-maple-syrup-is-made.
- Liu, Ling Sum, et al. “Recent Developments in Aptasensors for Diagnostic Applications.” ACS Applied Materials & Interfaces, vol. 13, no. 8, 2020, pp. 9329–9358., https://doi.org/10.1021/acsami.0c14788.
- Drabek, Rafal. “Aptamers vs. Antibodies - Antibody Alternatives.” Base Pair Biotechnologies, 19 Jan. 2020, https://www.basepairbio.com/aptamers-vs-antibodies/.
- “BioSpire: A Diagnostic Microfluidic Device That Detects Sepsis in Sweat.” Team:Rochester/Results, University of Rochester 2021 IGEM, https://2021.igem.org/Team:Rochester/Results#Top.
- Guedez, Andrea. “Directed Evolution of Synthetic Riboswitches and a Leucyl tRNA Synthetase,” Texas Christian University, Ann Arbor, 2022. ProQuest, https://www.proquest.com/dissertations-theses/directed-evolution-synthetic-riboswitches-leucyl/docview/2663480714/se-2
- Luo, Yu, et al. “In Vitro Selection of DNA Aptamers for the Development of Fluorescent Aptasensor for Sarcosine Detection.” Sensors and Actuators B: Chemical, Elsevier, 23 Aug. 2018, https://www.sciencedirect.com/science/article/pii/S0925400518315430.
- Bates, Dewonica. “Monitoring Ph in Reverse Osmosis in the Maple Industry.” Hanna Instruments Blog, Hanna Instruments, 2 Aug. 2022, https://blog.hannainst.com/ph_maple_reverse_osmosis.
- Platt, Mark, et al. “Analysis of Aptamer Sequence Activity Relationships.” OUP Academic, Oxford University Press, 12 Nov. 2008, https://doi.org/10.1039/b814892a.
- “Attachment Chemistry / Linkers Modifications.” IDT, https://www.idtdna.com/site/Catalog/Modifications/Category/2.
- Oberhaus, Franziska V, et al. “Immobilization Techniques for Aptamers on Gold Electrodes for the Electrochemical Detection of Proteins: A Review.” Biosensors, MDPI, 28 Apr. 2020, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277302/.
- https://parts.igem.org/Part:BBa_K4130014 (SAR09-3)
- https://parts.igem.org/Part:BBa_K4130015 (SAR11-5)
- “Screen-Printed Electrodes.” Encyclopedia, https://encyclopedia.pub/entry/8814.
- Huang, Jie, et al. “Advances in Aptamer-Based Biomarker Discovery.” Frontiers in Cell and Developmental Biology, Frontiers Media S.A., 16 Mar. 2021, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007916/.
- Congur, Gulsah, et al. “Chitosan Modified Graphite Electrodes Developed for Electrochemical Monitoring of Interaction between Daunorubicin and DNA.” Sensing and Bio-Sensing Research, Elsevier, 19 Dec. 2018, https://www.sciencedirect.com/science/article/pii/S221418041830134X.
- “Reduced Graphene Oxide: An Introduction.” Graphene, https://www.graphene-info.com/reduced-graphene-oxide-introduction.
- Rezaei, Behzad, et al. “An Ultrasensitive and Selective Electrochemical Aptasensor Based on RGO-Mwcnts/Chitosan/Carbon Quantum Dot for the Detection of Lysozyme.” Biosensors and Bioelectronics, Elsevier, 9 May 2018, https://www.sciencedirect.com/science/article/pii/S0956566318303518.
- “Hyper Value Screen Printed Electrodes.” Zimmerandpeacock, https://www.zimmerpeacocktech.com/products/electrochemical-sensors/hyper-value-screen-printed-electrodes/.
- “DropSens Carbon SPEs.” ..:: Metrohm Dropsens ::.. Screen-Printed Electrodes, https://www.dropsens.com/en/screen_printed_electrodes_pag.html.
- “Crosslinking Applications: Thermo Fisher Scientific - US.” Crosslinking Applications | Thermo Fisher Scientific - US, https://www.thermofisher.com/us/en/home/life-science/protein-biology/protein-biology-learning-center/protein-biology-resource-library/pierce-protein-methods/crosslinking-applications.html.
- “United States Standards for Grades of Maple Syrup.” USDA, 2 Mar. 2015, https://www.ams.usda.gov/sites/default/files/media/MapleSyrupStandards.pdf.
- Tang, Chuyue, et al. “Methylene Blue Intercalated Aptamer to Amplify Signals toward Sensitively Electrochemical Detection of Dopamine Released from Living Parkinson's Disease Model Cells.” Sensors and Actuators Reports, Elsevier, 3 Feb. 2022, https://www.sciencedirect.com/science/article/pii/S2666053922000078.
- “Cyclic Voltammetry At Solid Electrodes .” Https://Www.asdlib.org/, Experiments in Analytical Electrochemistry, https://www.asdlib.org/onlineArticles/elabware/kuwanaEC_lab/PDF-19-Experiment1.pdf.
- “Differential Pulse Voltammetry.” Differential Pulse Voltammetry - an Overview | ScienceDirect Topics, https://www.sciencedirect.com/topics/chemistry/differential-pulse-voltammetry.
- “What Is a Potentiostat and How Does It Work?” Pine Research Instrumentation Store, 24 May 2021, https://pineresearch.com/shop/kb/theory/instrumentation/what-potentiostat-does/.
- https://www.sciencedirect.com/topics/neuroscience/raman-spectroscopy