Screening of foodborne pathogens is an effective way to prevent microbial food poisoning. A microfluidic biosensor was developed for rapid and sensitive detection of Salmonella Typhimurium using quantum dots (QDs) as fluorescent probes for sensor readout and manganese dioxide nanoflowers (MnO₂ NFs) and as QDs nanocarriers for signal amplification. Prior to testing, amino-modified MnO₂ nanoflowers (MnO₂-NH₂ NFs) were conjugated with carboxyl-modified QDs through EDC/NHSS method to form MnO₂-QD NFs, and MnO₂-QD NFs were functionalized with polyclonal antibodies (pAbs) to form MnO₂-QD-pAb NFs. First, the mixture of target Salmonella Typhimurium cells and magnetic nanoparticles (MNPs) modified with monoclonal antibodies (mAbs) was injected with MnO₂-QD-pAb NFs into a microfluidic chip to form MNP-bacteria-QD-MnO₂ complexes. Then, glutathione (GSH) was injected to dissolve MnO₂ on the complexes into Mn²⁺, resulting in the release of QDs. Finally, fluorescent intensity of the released QDs was measured using the fluorescent detector to determine the amount of Salmonella. A linear relationship between fluorescent intensity and bacterial concentration from 1.0 × 10² to 1.0 × 10⁷ CFU/mL was found with a low detection limit of 43 CFU/mL and mean recovery of 99.7% for Salmonella in spiked chicken meats, indicating the feasibility of this biosensor for practical applications.

In this paper, an all-solid-state nitrate doped polypyrrole (PPy(NO₃⁻) ion-selective electrode (ISE) was prepared with a nanohybrid composite film of gold nanoparticles (AuNPs) and electrochemically reduced graphene oxide (ERGO). Preliminary tests on the ISE based in-situ soil nitrate–nitrogen (NO₃⁻-N) monitoring was conducted in a laboratory 3-stage column. Comparisons were made between the NO₃⁻-N content of in-situ soil percolate solution and laboratory-prepared extract solution. Possible influential factors of sample depth, NO₃⁻-N content, soil texture, and moisture were varied. Field-emission scanning electron microscopy (FESEM) and X-ray powder diffraction (XRD) characterized morphology and content information of the composite film of ERGO/AuNPs. Due to the performance excellence for conductivity, stability, and hydrophobicity, the ISE with ERGO/AuNPs illustrates an acceptable detection range from 10⁻¹ to 10⁻⁵ M. The response time was determined to be about 10 s. The lifetime was 65 days, which revealed great potential for the implementation of the ERGO/AuNPs mediated ISE for in-situ NO₃⁻-N monitoring. In-situ NO₃⁻-N testing results conducted by the all-solid-state ISE followed a similar trend with the standard UV-VIS method.

Soil nitrate–nitrogen (NO₃⁻-N) is one of the primary factors used to control nitrogen topdressing application during the crop growth period. The ion-selective electrode (ISE) is a promising method for rapid lower-cost in-field detection. Due to the simplification of sample preparation, the accuracy and stability of ISE-based in-field detection is doubted. In this paper, a self-designed prototype system for on-site soil NO₃⁻-N detection was developed. The procedure of spinning centrifugation was used to avoid interference from soil slurry suspension. A modified Nernstian prediction model was quantitatively characterized with outputs from both the ISE and the soil moisture sensor. The measurement accuracy of the sensor fusion model was comparable with the laboratory ISE detections with standard sample pretreatment. Compared with the standard spectrometric method, the average absolute error (AE) and root-mean-square error (RMSE) were found to be less than 4.7 and 6.1 mg/L, respectively. The on-site soil testing efficiency was 4–5 min/sample, which reduced the operation time by 60% compared with manual sample preparation. The on-site soil NO₃⁻-N status was dynamically monitored for 42 consecutive days. The declining peak of NO₃⁻-N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients.