Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy-Reference-Cited by-同舟云学术

Support vector machine regression on selected wavelength regions for quantitative analysis of caffeine in tea leaves by near infrared spectroscopy

Published:2019-07-29 Issue:10 Volume:33 Page:e3172
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Chanda Somdeb¹^ORCID,Hazarika Ajanto Kumar²,Choudhury Navnil¹^ORCID,Islam Sk Anarul¹^ORCID,Manna Rishabh¹^ORCID,Sabhapondit Santanu²^ORCID,Tudu Bipan¹,Bandyopadhyay Rajib¹³

Affiliation:

1. Department of Instrumentation and Electronics Engineering; Jadavpur University; Kolkata 700 098 India

2. Tocklai Tea Research Institute; Jorhat Assam India

3. Laboratory of Artificial Sensory Systems; ITMO University; Saint Petersburg Russia

Funder

National Tea Research Foundation (NTRF), India

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cem.3172/fullpdf

Reference34 articles.

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2. Update on caffeine consumption, disposition and action;Mandel;Food Chem Toxicol,2002

3. Application of FTIR spectroscopy for assessment of green coffee beans according to their origin;Obeidat;J Appl Spectrosc,2018

4. Near infrared spectroscopy in natural products analysis;Cozzolino;Planta Med,2009

5. Solid-phase FT-Raman determination of caffeine in energy drink;Armenta;Anal Chim Acta,2005

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