Bacterial identification and adhesive strength evaluation based on a mannose biosensor with dual-mode detection

A biosensor integrated with mannose nano-surface was developed for the identification and adhesive strength evaluation of bacteria. Different bacteria were studied on the designed surface by both electrochemical impedance spectroscopy (EIS) and surface enhanced Raman spectroscopy (SERS). S. typhimurium and E. coli JM109 (type 1 pili) were found to be captured by the mannose nano-surface. SERS spectra were used to identify the species of captured bacteria by combing with partial least squares discriminant analysis (PLS-DA). Meanwhile, binding affinities of the two captured bacteria to mannose nano-surface were obtained by EIS measurements and Frumkin isotherm model analysis, which were 6.859 x 10(23) M-1 and 2.054 x 10(17) M-1 respectively. A higher binding affinity indicates a stronger adhesive strength. Hence the results show the S. typhimurium has a stronger adhesive strength to mannose. Normalized impedance change (NIC) was proved to have a positive relevant relationship with binding affinities, which could be used as an indicator for the adhesive strength of bacteria. It was demonstrated that 100% accuracy of bacteria species discrimination and good consistency of NIC and adhesive strength for blind samples. The developed biosensor can provide both qualitative and quantitative information of selective recognition between bacteria and mannose.

Automated summary

A biosensor integrated with mannose nano-surface was developed for the identification and adhesive strength evaluation of bacteria. S. typhimurium and E. coli JM109 (type 1 pili) were captured by the mannose nano-surface. The species of captured bacteria were identified using SERS spectra and PLS-DA. The binding affinities of the captured bacteria to the nano-surface were obtained and the results showed that S. typhimurium had a stronger adhesive strength. Normalized impedance change (NIC) was found to be positively correlated with binding affinities, indicating it can be used as an indicator for the adhesive strength of bacteria. The developed biosensor can provide both qualitative and quantitative information of selective recognition between bacteria and mannose.