Nanofiber films based on anthocyanins for quantitative detection of pathogenic bacteria

Abstract

Pathogenic microbial infections have been regarded as one of the serious factors triggering serious food poisoning and infectious disease outbreaks. Therefore, early detection of pathogenic bacteria is of great importance for food safety, environmental monitoring, and clinical diagnosis. Here, nanofiber sensing films for the visual detection of S. aureus concentrations using polyvinyl alcohol (PVA) as a substrate and anthocyanin as an indicator material were prepared by electrostatic spinning technology. To avoid the loss of dye migration and side effects on the bacteria during the contact detection method, the headspace method was used to detect the concentration of bacteria. The results show that the fiber films can monitor S. aureus at 2 × 102 cfu/mL (ΔE = 7.6) by headspace. Scatter density matrix and correlation analysis yielded that the b* value of the film was the main factor in the variation of bacterial concentrations. Combined with a support vector machine (SVM) supervised learning algorithm for non-linear data, the model was trained to accurately classify S. aureus concentrations with an accuracy of 91%, which is important for accurately controlling pathogenic bacteria and safeguarding human health.