Characterization and predictive modeling potential of aging time of roasted coffee using infrared spectroscopy-Reference-Cited by-同舟云学术

Characterization and predictive modeling potential of aging time of roasted coffee using infrared spectroscopy

Published:2022 Issue:36 Volume:14 Page:3486-3492
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Lázaro Maisa Cristina¹,Ferreira Ednaldo José²,Gomes Neto José Anchieta¹^ORCID,Ferreira Edilene Cristina¹^ORCID

Affiliation:

1. São Paulo State University – UNESP, Chemistry Institute of Araraquara, Dep. of Analytical, Physical-Chemical and Inorganic Chemistry, P.O. Box 355, 14801-970, Araraquara, SP, Brazil

2. Embrapa Instrumentation, P.O. Box 741, 13560-970 São Carlos, SP, Brazil

Abstract

FTIR-ATR and logistic regression model estimating aging time (shelf life) and detecting frauds of repacking or tampering with labels of roasted coffee.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AY/D2AY00907B

Reference49 articles.

1. International Coffee Organization , World Coffee Consumption , http://www.ico.org/prices/new-consumption-table.pdf , accessed 30 March, 2021

2. Evolution of sensory aroma attributes from coffee beans to brewed coffee

3. Shelf-Life Testing of Coffee and Related Products: Uncertainties, Pitfalls, and Perspectives

4. Recomendações Técnicas para Edital Categoria Gourmet , https://www.abic.com.br/wp-content/uploads/2021/07/rectec_gourmet.pdf , accessed 26 August 2021

5. Headspace of roasted ground coffee as an indicator of storage time