Correlation Engine 2.0
Clear Search sequence regions

Sizes of these terms reflect their relevance to your search.

Rapid and accurate detection of fluoroquinolones (FQs) antibiotics residues in food substrate are of great significance to food safety. In this study, terahertz spectroscopy was employed to conduct the spectral and imaging analysis to explore its feasibility for detection concentrations of FQs in fish meal feeds (FMF). Four methods (frequency of maximum difference in frequency-domain, characteristic absorption peak, successive projections algorithm and stepwise regression) were used to selected characteristic frequencies of sample. Terahertz imaging was formed at selected characteristic frequency and back propagation neural network was used to establish quantitative evaluation models to select optimal characteristic imaging frequency. Finally, relationship between concentrations of FQs and their gray values was revealed, and each data had a small range of error bar. The results showed that terahertz spectral and imaging technique can visualize norfloxacin and enrofloxacin concentrations in FMF precisely. This study explored a brand-new visualization method for quantitative detection of FQs in FMF based on terahertz spectral and imaging technology. Copyright © 2021 Elsevier B.V. All rights reserved.


Junpeng Bai, Ying Ni, Bin Li, Haifeng Wang, Jun Zhu, Chuang Dong. Quantitative analysis of FQs antibiotics content in FMF using THz spectral and imaging technology. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. 2022 Jan 05;264:120284

Expand section icon Mesh Tags

Expand section icon Substances

PMID: 34438117

View Full Text