Methods of multivariate analysis of NIR reflectance spectra for classification of yerba mate-Reference-Cited by-同舟云学术

Methods of multivariate analysis of NIR reflectance spectra for classification of yerba mate

Published:2014 Issue:19 Volume:6 Page:7621-7627
ISSN:1759-9660
Container-title:Anal. Methods
language:en
Short-container-title:Anal. Methods

Author:

Alexandre Marcelo Marcelo Caetano¹²³,Martins Camila Alves¹²³,Pozebon Dirce¹²³,Ferrão Marco Flôres¹²³⁴⁵

Affiliation:

1. Instituto de Química

2. Universidade Federal do Rio Grande do Sul

3. Porto Alegre, Brazil

4. Instituto Nacional de Ciência e Tecnologia em Bioanalítica

5. Campinas, Brazil

Abstract

A methodology based on multivariate analysis of the NIR reflectance spectra was developed for yerba mate classification. All brands of yerba mate analyzed were correctly classified according to the country of origin.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2014/AY/C4AY01350F

Reference38 articles.

1. Geographic origins and compositions of virgin olive oils determinated by chemometric analysis of NIR spectra

2. Describing the chemical singularity of the Spanish protected designations of origin for virgin olive oils in relation to oils from neighbouring areas

3. Discriminant Analysis of Red Wines from Different Aging Ways by Information Fusion of NIR and MIR Spectra

4. Authentication of the Botanical and Geographical Origin of Honey by Mid-Infrared Spectroscopy

5. Elemental analysis of wines from South America and their classification according to country

Cited by 29 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. Classification analysis of copy papers using infrared spectroscopy and machine learning modeling;BioResources;2023-11-10

2. Characterization of Biodiesel from Animal Fat, Vegetable Oil, and Adulterants by Infrared Spectroscopy Combined with Chemometric Methods;Energy & Fuels;2021-08-17

3. Surface-Enhanced Raman Scattering (SERS) Taster: A Machine-Learning-Driven Multireceptor Platform for Multiplex Profiling of Wine Flavors;Nano Letters;2021-03-12

4. Yerba Mate, the Global Commerce, and Possible Adulteration. The Current Situation and New Perspectives;SpringerBriefs in Molecular Science;2021

5. Yerba Mate Tea, a Traditional South American Beverage. An Introduction;SpringerBriefs in Molecular Science;2021