Multiblock NIR and MIR spectralprint through AComDim to evaluate the effects of growing site, harvest season, and clone on yerba mate leaves composition

IF 8.5 1区农林科学 Q1 CHEMISTRY, APPLIED

Food Chemistry Pub Date : 2025-02-20 DOI:10.1016/j.foodchem.2025.143459

Natalia Saudade de Aguiar, Gustavo Galo Marcheafave, Elis Daiane Pauli, Manoela Mendes Duarte, Ieda Spacino Scarminio, Roy Edward Bruns, Romà Tauler, Marcelo Lazzarotto, Ivar Wendling

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Abstract

The composition of yerba mate implies significant potential in the food, pharmaceutical, and cosmetic industries, which requires standardization of the raw material. This study explores the simultaneous influence of growing sites, harvest seasons, and clones on the spectralprint of leaves through near-infrared (NIR) and mid-infrared (MIR) spectroscopy coupled with ANOVA Common Dimensions (AComDim) multivariate analysis. MIR spectroscopy identifies only the main effects of growing site and harvesting season, and the interaction between these factors. The NIR spectralprint identifies all main effects and interactions. Growing site and harvesting season individually account for approximately 7 % of the variance in the chemical composition of yerba mate, with their interaction contributing with 5.7 %. Clonal variation significantly affects the spectral profile with approximately 4 % variance, which allowed the identification of clones with the highest chemical divergence. The study demonstrates that biospectroscopics and chemometrics can enhance yerba mate quality through clonal selection and optimized agricultural practices.

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来源期刊

Food Chemistry 工程技术-食品科技

CiteScore

16.30

自引率

10.20%

发文量

3130

审稿时长

122 days

期刊介绍： Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.