Rapid and non-destructive cinnamon authentication by NIR-hyperspectral imaging and classification chemometrics tools-Reference-Cited by-同舟云学术

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Rapid and non-destructive cinnamon authentication by NIR-hyperspectral imaging and classification chemometrics tools

Published:2023-03 Issue: Volume:289 Page:122226
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Cruz-Tirado J.P.,Lima Brasil Yasmin,Freitas Lima Adriano,Alva Pretel Heiler,Teixeira Godoy Helena,Barbin Douglas,Siche Raúl

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference60 articles.

1. Defining the public health threat of food fraud;Spink;J. Food Sci.,2011

2. Food fraud vulnerability assessment: Reliable data sources and effective assessment approaches;Manning;Trends Food Sci. Technol.,2019

3. Food integrity: a market-based solution;Wang;Br. Food J.,2017

4. Spice and herb fraud, in;Hoffman;Food Fraud, Elsevier,2021

5. Assessment of food fraud vulnerability in the spices chain: An explorative study;Silvis;Food Control,2017

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3. Alternating conditional expectation (ACE) algorithm and supervised classification models for rapid determination and classification of the adulterated cinnamon samples using diffuse reflectance FT-IR spectroscopy;Journal of Food Composition and Analysis;2024-07

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