The classification, detection and ‘SMART’ control of the nine sins of tea fraud-Reference-Cited by-同舟云学术

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The classification, detection and ‘SMART’ control of the nine sins of tea fraud

Published:2024-07 Issue: Volume:149 Page:104565
ISSN:0924-2244
Container-title:Trends in Food Science & Technology
language:en
Short-container-title:Trends in Food Science & Technology

Author:

Li Yicong,Elliott Christopher T.,Petchkongkaew Awanwee,Wu Di^ORCID

Publisher

Elsevier BV

Reference99 articles.

1. Authentication and discrimination of green tea samples using UV-vis, FTIR and HPLC techniques coupled with chemometrics analysis;Aboulwafa;Journal of Pharmacy Biomedicine Analytical,2019

2. The rising impacts of the COVID-19 pandemic and the Russia–Ukraine war: Energy transition, climate justice, global inequality, and supply chain disruption;Allam;Resources,2022

3. Real-coded GA coupled to PLS for rapid detection and quantification of tartrazine in tea using FT-IR spectroscopy;Amsaraj;Lwt,2021

4. Classification and quantification of multiple adulterants simultaneously in black tea using spectral data coupled with chemometric analysis;Amsaraj;Journal of Food Composition and Analysis,2024

5. Biodiversity of South Indian tea clones with detection of plant-based adulterants in tea dust using DNA barcoding;Avarave;Natural Product Research,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Chemometrics coupled with near infrared spectroscopy for detecting adulteration levels in herbal teas;Journal of Food Composition and Analysis;2024-11

2. Rapid identification of the aging time of Liupao tea using AI-multimodal fusion sensing technology combined with analysis of tea polysaccharide conjugates;International Journal of Biological Macromolecules;2024-10

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