Summary

In recent years, food safety problems occurred frequently, and food poisoning cases caused by pathogens are particularly typical. Fast and accurate food safety detection method for pathogenic bacteria is a good way to quickly confirm the cause of food poisoning. Therefore, our team chose to design a detection device for potential pathogenic Escherichia coli (E. coli, EC), Staphylococcus aureus (S. aureus, SA), Vibrio parahaemolyticus (V. parahaemolyticus, VP) and Salmonella enteritidis (S. enteritidis, SE) in food. Our team built a test kit equipped with core components for the test: paper-based sensors, small incubators and quick sampling devices needed during the experiment to achieve household food safety testing.

During the project, we successfully constructed eight plasmids to express four receptor-binding proteins [RBPs: TFP (tail fiber protein), gp15, CBD(C-terminal cell-binding domain), and TSP (tailspike protein)] and their corresponding fluorescently labeled GFP-fusion proteins (GFP-RBPs). TFP, gp15, CBD, and TSP can specifically bind to the target bacteria EC, VP, SA, and SE, respectively. GFP-fusion RBPs can trace the binding of RBPs with the bacteria via fluorescence and are used to validate the specificity of RBPs. RBPs are conjugated with nanomagnetic beads (MBs) to form magnetic-protein complexes (RBP-MBs) to achieve separation and enrichment for specific target bacteria by magnetic force. The successful construction of RBP-MBs was verified by calculating the separation rates of RBP-MBs for different bacteria strains.

RBPs, GFP-RBPs and RBP-MBs of target bacteria

Bacteria RBP GFP-RBP RBP-MBs
EC TFP GFP-TFP MBs-TFP
VP gp15 GFP-gp15 MBs-gp15
SA CBD GFP-CBD MBs-CBD
SE TSP GFP-TSP MBs-TSP


Part list

Procedure

Goal 1 : Produce RBPs and identify their activity

1 Plasmid Construction

We designed our functional parts TFP, gp15, CBD, and TSP and respectively cloned them into pET28a backbone plasmid chemical synthesized by Tsingke Biotechnology Co., Ltd. As mentioned on our design page, these plasmids are used to express TFP, gp15, CBD and TSP which can respectively bind to and separate EC, VP, SA, and SE from food samples. For safety concerns, we chose a relatively safe EC strain K12 MG1655 for laboratory experiments.

We used Gibson assembly method to construct pET28a-TFP, pET28a-gp15, pET28a-CBD, and pET28a-TSP plasmids.

The gel electrophoresis results (Figure 1 to 3) showed that the gp15 was 561bp, the CBD was 604 bp, and the TSP was 1993 bp, as expected. In addition, we confirmed the results by sequencing. As for TFP, we had the plasmid which was already cloned with TFP, so we didn’t electrophorese it.

Figure 1 Nucleic acid gel electrophoresis results of gp15.

Figure 2 Nucleic acid gel electrophoresis results of CBD.

Figure 3 Nucleic acid gel electrophoresis results of TSP.

2 Protein expression test

SDS-PAGE electrophoresis was used to check the expression of four RBPs (TFP: 64.1 kDa, gp15: 25.4 kDa, CBD: 12.8 kDa, TSP: 62.6 kDa). As shown in Figure 4 to 7, the proteins have been successfully expressed and purified.

Figure 4 Protein SDS-PAGE electrophoresis results of TFP.

Figure 5 Protein SDS-PAGE electrophoresis results of gp15.

Figure 6 Protein SDS-PAGE electrophoresis results of CBD.

Figure 7 Protein SDS-PAGE electrophoresis results of TSP.

3 Binding ability test of RBPs

After the expression and purification of four GFP-RBPs, we measured the absorbance of them by optical density (OD) values at 562 nm (OD562) and converted OD values into concentration of GFP-RBPs by the function shown in Figure 8. The concentrations of GFP-RBPs are listed in following table .

Figure 8 A standard curve of optical density (OD) values at 562 nm versus protein

Concentrations of GFP-RBPs

Fusion protein concentration
GFP-TFP 420μg/mL
GFP-gp15 722μg/mL
GFP-CBD 210μg/mL
GFP-TSP 425μg/mL

We mixed the GFP-RBPs with relevant bacteria and measured the fluorescence value of the cells with a microplate reader. As we expected, GFP-TFP had a good specificity toward EC (Figure 9) and so did GFP-gp15 toward VP (Figure 10), GFP-CBD toward SA (Figure 11), and GFP-TSP toward SE (Figure 12). These results confirmed that our RBPs could bind strongly to the corresponding target bacteria respectively.

Figure 9 GFP-TFP binds strongly to the cell surfaces of EC.

Figure 10 GFP-gp15 binds strongly to the cell surfaces of VP.

Figure 11 GFP-CBD binds strongly to the cell surfaces of SA.

Figure 12 GFP-TSP binds strongly to the cell surfaces of SE.

Goal 2 : Find appropriate chromogenic substrates for bacteria and draw Blue value-concentration curve

1 Literature research

By searching literature, we found out specific enzymes in the four bacteria strains that can catalyze reactions of certain chromogenic substrates. The chromogenic substrates and their color variation due to such enzyme catalysis for the four strains are shown below.

Chromogenic substrates for bacteria and their color variation due to enzyme catalysis

Name Bacteria Enzyme Color variation Concentration
CPRG EC β-gal yellow→red 25mg/mL
X-β-glu VP β-glu colorless→blue 100mg/mL
pNPG SA α-glu colorless→yellow 100mg/mL
magenta caprylate SE esterase colorless→violet 100mg/mL

2 Experiments of chromogenic reactions

For each chromogenic substrate, we mixed it with colistin and a variety of bacteria strains (SA, SE, ST, VP, PA and EC) to check if the color reaction could specifically identify target bacteria strain. A control group (C) containing only chromogenic substrate and colistin was set up for each experiment. The experiments showed that our paper-based sensors based on these chromogenic substrates could successfully detect EC, SA, and SE. VP experiment failed at first, and by changing colistin into polymyxin B and making adjustment of experiment conditions, we also successfully had a sensor with X-β-glu for detecting VP.

2.1 Experiments for identifying EC, SA and SE

Chromogenic substrates CPRG and pNPG showed specific color changes for EC and SA respectively, distinguishing the target bacteria from other strains (Figure 13 to 14). Although the specificity of the chromogenic substrate MC was not specific to SE, the specificity of our paper-based sensor can still be ensured due to the specific separation of the target bacteria by RBP-MBs before sensor detection (Figure 15).

Figure 13 Specificity of CPRG to EC

Figure 14 Specificity of pNPG to SA

Figure 15 Specificity of MC to SE

2.2 Experiments for identifying VP

For the experiment of chromogenic substrate X-β-glu for VP detection, we failed at first. No color change was observed after mixing X-β-glu, bacteria and colistin. We proposed several possible hypotheses for the failure.

Hypothesis 1: Volume of reactants was not appropriate.

We changed the volume of colistin, X-β-glu and PBS from 0.1μl,0.1μl and 20μl to 0.2μl, 0.5μl and 10μl to increase the concentration of colistin and chromogenic substrate. This adjustment did not improve the results.

Hypothesis 2: Reaction time was not enough.

One “failed” tube began to turn blue after one day (Figure 16), we suspected that the reaction required more time than we expected.

Figure 16 After 1 day, tubes containing X-β-glu and bacteria began to show light blue

Hypothesis 3: Quality of chromogenic substrate was poor.

We tested chromogenic substrates from different companies with bacteria handled with ultrasonication, and found that X-β-glu from Shanghai Yuanye Bio-Technology Co., Ltd and Shanghai Aladdin Biochemical Technology Co., Ltd. had better chromogenic ability. But although the chromogenic substrate turned blue in the tubes, both of them failed to turn blue on the paper base. Eventually, chromogenic substrate from another company (Bide Pharmatech Co., Ltd.) solved the problem.

Hypothesis 4: The decomposition agent was inappropriate.

The colistin might have a problem in breaking the cytolemma of VP. We tried several other decomposition agents for VP, including D-cycloserine, metronidazole, ampicillin, kanamycin, chloramphenicol, thiamphenicol, erythromycin and polymyxin B (Figure 17). Only metronidazole and polymyxin B succeeded in turning blue in the reaction. But metronidazole turned the control group blue as well. We found out that it was due to the hydrolysis of X-β-glu, from Shanghai Aladdin Biochemical Technology Co., Ltd., in metronidazole, a reaction turning the solution blue without bacteria. Luckily, polymyxin B didn’t make X-β-glu hydrolyze, so we adopted it as the decomposition agent for VP.

Figure 17 Test of different decomposition agents

Hypothesis 5: The activity of enzyme in some breeds of VP didn’t work well.

To take more strains of VP into comparison, we chose VP49, VP123, and VP17082. The results showed that VP17082 was the most sensitive breed toward polymyxinB + X-β-glu (Figure 18).

Figure 18 Chromogenic reactions of different breeds of VP

Final solution:

At last we used X-β-glu from Bide Pharmatech Co., Ltd. We mixed 0.5μl of it and 0.2μl of polymyxin B together with 10μl VP, the solution would turn blue after 2 hours normally (Figure 19). The core problem of the previous failure was the quality of chromogenic substrate, and we changed the formula to make sure the bacteria were fully cracked.

Figure 19 Successful results of chromogenic reactions of VP

3 Experiments for determining the concentrations of bacteria

3.1 Chromogenic reactions of different concentration of bacteria

We noticed that the color variation of chromogenic reactions was correlated to the concentration of target bacteria, so we analyzed RGB values of the color to determine the concentration of target bacteria in the samples. Using the RGB values, we were able to draw Blue value-concentration curves to calculate the bacteria concentrations which are helpful for further application of our product in reality.

We diluted the solution of bacteria (10⁹ CFU/mL) to 10⁸,5×10⁷,10⁷,5×10⁶,10⁶,...... ,10¹ CFU/mL and added 10μL of diluted solution to a paper-based sensor one by one, then preserved at 37℃ for 2h. Our experiments showed that the degree of color change of the sensors for each strain was all positively related to the concentrations of bacterial solution.

When we detected the RGB value, we found that Blue value was the most sensitive value for the concentration of bacteria, so we adopted Blue value to draw the curve at last. The curves for four kinds of bacteria are listed below (Figure 20 to 23). Using the blue value, the lower limit in the detectable concentration for all bacteria could reach around 10⁶ CFU/mL except for EC whose color changes were quite apparent from the concentration of 7.5×10⁵ CFU/mL

Figure 20 The blue value-concentration curve for EC

Figure 21 The blue value-concentration curve for VP

Figure 22 The blue value-concentration curve for SA

Figure 23 The blue value-concentration curve for SE

Goal 3 : Construction of RBP-MBs and measurement of the separation rates

We combined magnetic beads with RBP using condensation reaction of -NH2 on protein and -COOH on beads. Then we mixed RBP-MBs with bacteria of 103 CFU/mL and separated the bacteria by magnet. After oscillation and resuspension, we pasted the solution on LB Broth and counted the number of single colony before separation (sucked bacteria of 103CFU/mL of the same volume and pasted) (Nbefore) and after separation (Nafter). The separation rate was calculated by Nafter/Nbefore. The results are shown below. Our results showed that all RBP-MBs successfully separated target bacteria from samples, with MBs-TFP, and MBs-gp15 having high capture efficiency over 85% in mixed bacteria solution and over 95% in purified bacteria solution.

Separation rates of RBP-MBs for target bacteria

Real sample test

After all the components were successfully constructed, we started our whole detection procedure.

The procedure went as following: We mixed the food sample, four RBP-MBs and LB Broth in a tube, and preserved the mixture at room temperature for 0.5h. We then placed the tube on a magnet separator, discarded the supernatant and resuspended the precipitate with PBS. We transferred the resuspension to the paper-based sensors, and preserved the sensors for 2h. We used canned luncheon meat for the real sample test. We added the four pathogens to the meat to simulate food pollution. The pathogens spiked in meat were detected by our detection method. The recovery tests showed that acceptable recovery values ranging from 92% to 101% were obtained, with relative standard deviation (RSD) values all below 8.28%.

Recovery tests of four foodborne pathogens spiked in canned luncheon meat

RSD: relative standard deviation.

Future work

There are still many problems left in our project. To begin with, the lowest concentration of bacteria that can be detected is too high compared with other kinds of methods. So the major improvement of the project is to find chromogenic substrate and decomposition agent with higher sensitivity or some accelerant which can help the enzyme to decompose the chromogenic substrate. In addition, the preservation of RBP-MBs can be a problem to low-cost detection. To bring household food detection into reality, the cost of simplified device should be as low as possible.

Though our original purpose was to detect the pathogens in cans, the ability of our final work is more than that. For example, it can be used to detect the bacteria in water, excretion, blood sample and so on. For it is disposable, there’s no concern on maintenance. Imitating the principle used in the experiment, paper-based sensors designed for more kinds of bacteria can be invented, contributing to low-cost detection for bacteria.

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