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Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|
May 2, 2016
Simultaneous determination of 22 cephalosporins drug residues in pork muscle using liquid chromatography-tandem mass spectrometry
Weiqing Li, Haiying Shen, Yunhe Hong, et al.
Se Pu = Chinese Journal of Chromatography
|
September 26, 2018
[Screening of 17 cephalosporin residues in infant formula milk powder by ultra-high performance liquid chromatography-high resolution mass spectrometry]
Jianqiao Cheng, Feng Zhang, Xiuli Xu, et al.
Food Chemistry
|
October 24, 2022
Multivariate versus machine learning-based classification of rapid evaporative Ionisation mass spectrometry spectra towards industry based large-scale fish speciation
Marilyn De Graeve, Nicholas Birse, Yunhe Hong, et al.
Food Chemistry
|
March 29, 2022
Elementomics combined with dd-SIMCA and K-NN to identify the geographical origin of rice samples from China, India, and Vietnam
Brian Quinn, Philip McCarron, Yunhe Hong, et al.
Food Chemistry
|
June 28, 2025
Advancing freshness classification of freshly squeezed fruit juice via integrated multivariate analysis and machine learning approaches
Jiahui Ma, Xiuli Xu, Yunhe Hong, et al.
Food Chemistry
|
September 16, 2021
Authentication of organically grown vegetables by the application of ambient mass spectrometry and inductively coupled plasma (ICP) mass spectrometry; The leek case study
Nicholas Birse, Philip McCarron, Brian Quinn, et al.
Food Chemistry
|
September 1, 2023
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Food Research International (Ottawa, Ont.)
|
December 6, 2025
Tracing the global origins of black tea using rapid XRF techniques coupled with advanced machine learning
Yicong Li, Nicholas Birse, Wanqi Jia, et al.
Food Chemistry
|
November 24, 2024
Promoting LC-QToF based non-targeted fingerprinting and biomarker selection with machine learning for the discrimination of black tea geographical origin
Yicong Li, Nicholas Birse, Yunhe Hong, et al.
Food Chemistry
|
November 25, 2023
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
Yicong Li, Natasha Logan, Brian Quinn, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
|
May 2, 2016
Simultaneous determination of 22 cephalosporins drug residues in pork muscle using liquid chromatography-tandem mass spectrometry
Weiqing Li, Haiying Shen, Yunhe Hong, et al.
Se Pu = Chinese Journal of Chromatography
|
September 26, 2018
[Screening of 17 cephalosporin residues in infant formula milk powder by ultra-high performance liquid chromatography-high resolution mass spectrometry]
Jianqiao Cheng, Feng Zhang, Xiuli Xu, et al.
Food Chemistry
|
October 24, 2022
Multivariate versus machine learning-based classification of rapid evaporative Ionisation mass spectrometry spectra towards industry based large-scale fish speciation
Marilyn De Graeve, Nicholas Birse, Yunhe Hong, et al.
Food Chemistry
|
March 29, 2022
Elementomics combined with dd-SIMCA and K-NN to identify the geographical origin of rice samples from China, India, and Vietnam
Brian Quinn, Philip McCarron, Yunhe Hong, et al.
Food Chemistry
|
June 28, 2025
Advancing freshness classification of freshly squeezed fruit juice via integrated multivariate analysis and machine learning approaches
Jiahui Ma, Xiuli Xu, Yunhe Hong, et al.
Food Chemistry
|
September 16, 2021
Authentication of organically grown vegetables by the application of ambient mass spectrometry and inductively coupled plasma (ICP) mass spectrometry; The leek case study
Nicholas Birse, Philip McCarron, Brian Quinn, et al.
Food Chemistry
|
September 1, 2023
MALDI-ToF MS and chemometric analysis as a tool for identifying wild and farmed salmon
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Food Research International (Ottawa, Ont.)
|
December 6, 2025
Tracing the global origins of black tea using rapid XRF techniques coupled with advanced machine learning
Yicong Li, Nicholas Birse, Wanqi Jia, et al.
Food Chemistry
|
November 24, 2024
Promoting LC-QToF based non-targeted fingerprinting and biomarker selection with machine learning for the discrimination of black tea geographical origin
Yicong Li, Nicholas Birse, Yunhe Hong, et al.
Food Chemistry
|
November 25, 2023
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
Yicong Li, Natasha Logan, Brian Quinn, et al.
Page
of 2