研究目的
To explore the feasibility of using Surface-enhanced Raman scattering (SERS) with silver nano substrates synthesized by microwave for rapid detection and identification of foodborne pathogens, specifically Escherichia coli O157:H7, Staphylococcus aureus, and Salmonella.
研究成果
SERS with microwave-synthesized silver nanoparticles is a rapid, sensitive, and reproducible method for detecting and identifying foodborne pathogens. It shows promise for food safety applications, but further research is needed for quantitative detection in complex matrices and database establishment.
研究不足
The molecular interpretation of SERS vibrational features is not universally established. The method may face challenges in complex media like food, requiring further integration with chemometrics and development for quantitative analysis and discrimination at subspecies levels.
1:Experimental Design and Method Selection:
The study used SERS with silver colloidal nanoparticles synthesized by microwave heating as substrates for detecting bacteria. The rationale was to leverage the enhancement of Raman signals for sensitive and rapid detection.
2:Sample Selection and Data Sources:
Bacterial strains (Escherichia coli O157:H7 ATCC 43895, Staphylococcus aureus ATCC 27664, Salmonella ATCC 13076) were obtained from the American Type Culture Collection and cultured in TSB broth.
3:List of Experimental Equipment and Materials:
Silver nitrate, sodium citrate, double distilled water, microwave oven, UV-Vis spectrophotometer (UV-1800, Shimadzu), laser particle size analyzer (ZEN3690 Malvern), transmission electron microscope (JEOL JEM 1200EX), zeta potential analyzer (Zetasizer Nano ZS Malvern), portable Raman spectrometer (I0785MM0350MF, Ocean Optics), glass capillary tubes, and software (Origin 9.0, SPSS 11.5.0).
4:0, SPSS 0). Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Silver nanoparticles were synthesized by microwave heating AgNO3 with sodium citrate. Bacteria were cultured, washed, and resuspended with AgNPs. SERS measurements were performed using a Raman spectrometer with 785 nm laser excitation. Data were analyzed using PCA and HCA.
5:Data Analysis Methods:
Spectra were processed with smoothing, normalization, and second-derivative transformation. PCA and HCA were used for classification and differentiation of bacterial strains based on SERS spectra.
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UV-Vis spectrophotometer
UV-1800
Shimadzu
Characterization of silver nanoparticles by measuring absorbance in the wavelength range of 300-800 nm.
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Laser particle size analyzer
ZEN3690
Malvern Instruments
Determination of particle size distribution of silver nanoparticles.
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Transmission electron microscope
JEOL JEM 1200EX
JEOL
Characterization of size, morphology, and stability of nanoparticles, and investigation of AgNP-bacteria complex distribution.
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Zeta potential analyzer
Zetasizer Nano ZS
Malvern Instruments
Measurement of zeta potential of silver nanoparticles to assess stability.
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Portable Raman spectrometer
I0785MM0350MF
Ocean Optics
SERS measurement of bacterial samples with 785 nm laser excitation.
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Software
Origin 9.0
Origin Lab Corporation
Analysis of Raman and SERS spectra data.
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Software
SPSS 11.5.0
SPSS Inc.
Multivariate data analysis including PCA and HCA for spectral data.
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