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- Zhu, Jiaji, et al. Show all 8 Authors
- International journal of food microbiology 2019 v.304 pp. 58-67
- Pseudomonas fluorescens; Pseudomonas gessardii; Raman spectroscopy; adsorption; bacteria; chemometrics; chicken meat; cluster analysis; gold; multivariate analysis; nanogold; nanorods; principal component analysis; ribosomal RNA; spoilage bacteria
- ... This paper demonstrates the application of surface-enhanced Raman scattering (SERS) using positive charged gold nanorods (Au NRs) as an enhancement substrate to classify Pseudomonas spp. coupled with multivariate methods. Four species of Pseudomonas as dominant spoilage bacteria of food were isolated from rotten chicken, namely, Pseudomonas gessardii (P9), Pseudomonas psychrophila (P8), Pseudomona ...
- Zhu, Jiaji, et al. Show all 7 Authors
- Lebensmittel-Wissenschaft + [i.e. und] Technologie 2018 v.97 pp. 760-769
- Raman spectroscopy; algorithms; chemometrics; chlorpyrifos; data collection; gas chromatography-mass spectrometry; least squares; models; nanoparticles; normal values; prediction; quantitative analysis; t-test; tea
- ... Surface-enhanced Raman spectroscopy (SERS) combined with chemometric models were employed to develop a rapid, low-cost, and sensitive method for qualitative and quantitative analysis of chlorpyrifos residues in tea. Au@Ag nanoparticles (NPs) with high enhancement factor were synthesized and coupled with chemometric algorithms for SERS measurements. K-nearest neighbors (KNN) classification models g ...