ZnO@Ag-Functionalized Paper-Based Microarray Chip for SERS Detection of Bacteria and Antibacterial and Photocatalytic Inactivation.
Afang ZhuShujat AliZhen WangYi XuRongxi LinTianhui JiaoQin OuyangQuansheng ChenPublished in: Analytical chemistry (2023)
Bacterial infections caused by pathogenic microorganisms have become a serious, widespread health concern. Thus, it is essential and required to develop a multifunctional platform that can rapidly and accurately determine bacteria and effectively inhibit or inactivate pathogens. Herein, a microarray SERS chip was successfully synthesized using novel metal/semiconductor composites (ZnO@Ag)-ZnO nanoflowers (ZnO NFs) decorated with Ag nanoparticles (Ag NPs) arrayed on a paper-based chip as a supporting substrate for in situ monitoring and photocatalytic inactivation of pathogenic bacteria. Typical Gram-positive Staphylococcus aureus and Gram-negative Escherichia coli and Vibrio parahemolyticus were selected as models. Partial least-squares discriminant analysis (PLS-DA) was performed to minimize the dimensionality of SERS spectra data sets and to develop a cost-effective identification model. The classification accuracy was 100, 97.2, and 100% for S. aureus , E. coli , and V. parahemolyticus , respectively. The antimicrobial activity of ZnO@Ag was proved by the microbroth dilution method, and the minimum inhibitory concentrations (MICs) of S. aureus , E. coli , and V. parahemolyticus were 40, 50, and 55 μg/mL, respectively. Meanwhile, it demonstrated remarkable photocatalytic performance under natural sunlight for the inactivation of pathogenic bacteria, and the inactivation rates for S. aureus , E. coli , and V. parahemolyticus were 100, 97.03 and 97.56%, respectively. As a result, the microarray chip not only detected the bacteria with high sensitivity but also confirmed the antibacterial and photocatalytic sterilization properties. Consequently, it offers highly prospective strategies for foodborne diseases caused by pathogenic bacteria.
Keyphrases
- visible light
- quantum dots
- gram negative
- escherichia coli
- reduced graphene oxide
- gold nanoparticles
- sensitive detection
- high throughput
- multidrug resistant
- staphylococcus aureus
- highly efficient
- circulating tumor cells
- healthcare
- room temperature
- biofilm formation
- drug delivery
- deep learning
- label free
- mental health
- risk assessment
- raman spectroscopy
- machine learning
- big data
- mass spectrometry
- oxide nanoparticles
- data analysis
- cancer therapy
- liquid chromatography
- density functional theory