Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea-Reference-Cited by-同舟云学术

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Discriminating compounds identification based on the innovative sparse representation chemometrics to assess the quality of Maofeng tea

Published:2023-10 Issue: Volume:123 Page:105590
ISSN:0889-1575
Container-title:Journal of Food Composition and Analysis
language:en
Short-container-title:Journal of Food Composition and Analysis

Author:

Li Haoran,Wu Pengcheng,Dai Jisheng,Pan Tianhong,Holmes Melvin,Chen Tao,Zou Xiaobo

Funder

Earmarked Fund for China Agriculture Research System

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Food Science

Reference40 articles.

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3. Bayesian linear regression and variable selection for spectroscopic calibration;Chen;Anal. Chim. Acta,2009

4. Scores selection via Fisher’s discriminant power in PCA-LDA to improve the classification of food data;de Almeida;Food Chem.,2021

5. Vibrational spectroscopy in analysis of pharmaceuticals: critical review of innovative portable and handheld NIR and Raman spectrophotometers;Deidda;TrAC Trends Anal. Chem.,2019

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3. Long-range infrared absorption spectroscopy and fast mass spectrometry for rapid online measurements of volatile organic compounds from black tea fermentation;Food Chemistry;2024-08

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