Proof of concept

Lab work

We aim to design a point-of-care nitrite sensor coated with E. coli that has enhanced nitrite-digesting ability. To start with, we investigated and analyzed the nitrogen metabolism pathway in E. coli and found two key nitrite reductases: NrfA and NirB. To amplify their expression, the plasmid containing NarP, a transcription factor that could enhance the expression level of both enzymes, was transformed into the bacteria (Figure 1).

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Figure 1 Regulation effect of NarP and NarL on the expression of nrfA and nirB nitrite reductase genes


After the introduction of the plasmid was validated by sequencing, our team further conducted qPCR, SDS-PAGE, and enzyme activity assay to evaluate the efficacy of our plasmid. Our experiment results show that the expression level of NarP increases significantly at the transcriptional and translational levels. Meanwhile, the engineered E. coli has a higher nitrite-degrading ability, proving our experiment design is reasonable and practical.

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Figure 2 Overall workflow of our cell experiment

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Figure 3 Three validation methods of constructed E. coli strain with enhanced nitrite-digesting ability

For point-of-care testing, our sensor design could be generally divided into Arduino-based electrochemical detection system and screen-printed electrode sensing system.

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Figure 4 Overall workflow of our sensor experiment

Figure 5 shows the result of we use different concentration of GelMA (15%, 20%, 30% (W/V)) to test immobilizing E. coli on cell orifice plate. According to the result, the 15% concentration of GelMA could perfectly meet our requirements fabricating GelMA coating on SPE surface.

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Figure 5: (A) Use UV light to treat GelMA;
(B) Use GelMA lysis buffer to lysis for 5 mins;
(C) GelMA in 15%, 20% and 25% (w/v); (D) Coating GelMA on SPE surface.

Cyclic voltammetry was conducted to investigate the electrochemical performance of the SPE in the presence of 1.0 mM [Fe (CN)6]3-/4- containing 0.1 M KCl at a scan rate of 100 mV s−1. In the absence of electroactive species, the cyclic voltammogram showed a low background current without an oxidation or reduction peak. This indicates that graphite ink components are not electroactive in the CVs potential range. However, a pair of redox peaks appeared in the presence of 1.0 mM [Fe (CN)6]3-/4-. This suggests that [Fe (CN)6]3-/4- has a quasi-reversible behavior. As shown in Figure 6, the cyclic voltammetry results of the screen-printed electrode indicated that the electrode worked ideally.

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Figure 6: (A) 1st circle of Cyclic Voltammetry using [Fe (CN)6]3-/4-as the standard probe;
(B) Cyclic Voltammetry using [Fe (CN)6]3-/4-as the standard probe for 1st to 20th circles.

Using standard nitrite solution [0 mM, 1 mM, 3 mM, 4 mM, 6 mM] as sample solution, we applied cyclic voltammetry method with E initial=-1.2V, E final=0.6V, scan rate of 100mV s-1. The results of the experiment demonstrate that the sensor system successfully detected the signal of the nitrite solution as indicated by the current response wave crest at -1.05V. Although the characteristic peak didn’t show at -0.8V as expected, from the experiment we have conducted, we assume the cell contents have interfere with the signal readout. The overall characteristic shape of the current-potential diagram is in consistence with the reference article (Monteiro, 2015). Hence it can be concluded that the sensor system did function. However, as we vary the concentration of nitrite in the tested solution, the curves of the current-potential diagram, which is shown below, didn’t changes accordingly as indicated in the refence article. Although the result shows a positive linear relationship between the nitrite concentration in the sample solution and the peak value of the current response, the range of response variation is too small, indicating that our sensor needs further improvement in the detection sensitivity. And according to our preliminary judgment, it may be the mixture of cell contents/lysis buffer that interferes enzymatic reaction. This behavior exhibits the need for us to improve the sensitivity of the sensor system in the future.

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Figure 7:
(A) CV result of 0 mM Nitrite standard solution at a scan rate of 100 mV s−1;
(B) CV result of 1 mM Nitrite standard solution at a scan rate of 100 mV s−1;
(C) CV result of 3 mM Nitrite standard solution at a scan rate of 100 mV s−1;
(D) CV result of 4 mM Nitrite standard solution at a scan rate of 100 mV s−1;
(E) CV result of 6 mM Nitrite standard solution at a scan rate of 100 mV s−1. All the potential E (V) is vs pseudo-Ag/AgCl;
(F) linear correlation between the ΔIcat at −1.05 V (slope 120 mA M −1cm−2, R2 0.919) and NO2− concentration.

Hardware

Based on our experiments, our sensor and the detecting system have equipped fundamental selectivity and sensitivity for nitrite detection and could eliminate some of the preliminary interferences from samples. The testing samples include drinking (mineral) water, milk, plasma, natural water, etc. Also, selectivity, repeatability, and reproducibility are examined. For repeatability, the electrochemical response of a single electrode does not change significantly during consecutive runs. To test reproducibility, we have made sure that the results of electrochemical responses of seven different electrodes fabricated in the same batch are similar. For selectivity, we have continued to test the samples with common interfering ions like uric acid, ascorbic acid and CN- in the future.

Click here to see specific measurement ability of our sensor.

Product implementation

Overviewing the whole project, after we have successfully produced the E. coli with enhanced ability to deal with nitrite, our “nitrisensor” could get on to the stage. Electrons produced from nitrite reduction could be directly transferred to the electrode surface and transformed into an electric signal readout. The detected concentration of nitrite will then be presented on our specially-designed APP and visualized by every customer. With some simple operation, everyone could supervise nitrite concentration in water, food, and plasma samples. Harnessing the power of nature, our team manages to propose a point-of-care detection method and leads a step toward a more intelligent, proactive, and environmentally friendly lifestyle. Please refer to the implementation page to see how does our nitrisensor work.

Future Plan

To further complement our project for more sensitive, efficient detection as well as better promotion, we make a series of future plan. Click the here to see what we are fighting for!

Reference

1. Monteiro, T., et al., Construction of effective disposable biosensors for point of care testing of nitrite. Talanta, 2015. 142: p. 246-251.
2. Wang, H., & Gunsalus, R. P. (2000). The nrfA and nirB nitrite reductase operons in Escherichia coli are expressed differently in response to nitrate than to nitrite. Journal of Bacteriology, 182(20), 5813-5822.