Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine-Reference-Cited by-同舟云学术

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Non-invasive identification of commercial green tea blends using NIR spectroscopy and support vector machine

Published:2021-05 Issue: Volume:164 Page:106052
ISSN:0026-265X
Container-title:Microchemical Journal
language:en
Short-container-title:Microchemical Journal

Author:

Cardoso Victor Gustavo Kelis,Poppi Ronei Jesus

Funder

National Council for Scientific and Technological Development

State of Sao Paulo Research Foundation

Coordination of Higher Education Personnel Improvement

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference39 articles.

1. Nondestructive identification of green tea varieties based on hyperspectral imaging technology;Sun;J. Food Process Eng.,2018

2. Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS;Yener;Talanta,2016

3. Beneficial effects of green tea - A review;Cabrera;J. Am. Coll. Nutr.,2006

4. Rapid volatiles fingerprinting by dopant-assisted positive photoionization ion mobility spectrometry for discrimination and characterization of Green Tea aromas;Li;Talanta,2019

5. Rapid and non-destructive discrimination of special-grade flat green tea using Near-infrared spectroscopy;Li;Spectrochim. Acta - Part A Mol. Biomol. Spectrosc.,2019

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