Nutritional quality, volatile organic compounds and element compositions of indigenous upland rice

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2025-06-01 Epub Date: 2025-03-25 DOI:10.1016/j.jfca.2025.107517
Prinya Wongsa , Visaka Anantawa , Phunsiri Suthiluk , Sutthiwal Setha , Matchima Naradisorn , Saroat Rawdkuen , Kalidas Shetty
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Abstract

Rice (Oryza sativum L.) is important staple food to ensure food security for many people specially in Asia. This study aimed to investigate grain nutrition, proximate composition, and organic volatile compounds (VOCs) and mineral contents of rice varieties. Significant differences in the content of nutritional compositions and VOCs were observed. Thirty-eight VOCs were the main aroma contributors. Principal Component Analysis (PCA) of VOCs explained 55.2 % of the total variation, which could effectively separate volatile compounds. The variable influence on projections (VIPs) in the Partial Least-Squares Discriminant Analysis (PLS-DA) model identified 2-hexanol, (Z-Z)-3,6-nonadienal and (Z)-2-octenal as aroma biomarkers. The detection limit of 10 selected element ranged between 0.00039 – 0.00654 µg/g, and the limit of quantification varied from 0.00179 to 0.01984 µg/g, the linear correlation coefficient was greater or equal to 0.9948 (R2 ≥ 0. 9948). In addition, Magnesium (Mg) was the predominant elements in the upland rice samples. The content of Mg ranged between 107.93 µg/g and 446.68 µg/g. The PCA on element contents represented 95.3 % of the total variation. The VIPs in the PLS-DA model identified Mg, Iron (Fe) and Calcium (Ca) as a biomarker. The variation in the characteristic VOCs and elements in rice varieties, providing a theoretical basis for identifying a significant VOCs and elements in rice variety.
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土产旱稻营养品质、挥发性有机化合物及元素组成
水稻(Oryza sativum L.)是确保许多人特别是亚洲人粮食安全的重要主食。本研究旨在研究水稻品种籽粒营养、近似组成、有机挥发性化合物(VOCs)和矿物质含量。营养成分和挥发性有机化合物的含量存在显著差异。38种挥发性有机化合物是主要的香气贡献者。主成分分析(PCA)对VOCs总变异的贡献率为55.2% %,可有效分离挥发性化合物。偏最小二乘判别分析(PLS-DA)模型对预测(vip)的变量影响确定了2-己醇、(Z-Z)-3,6-非二烯醛和(Z)-2-辛烯醛为香气生物标志物。所选10种元素的检出限为0.00039 ~ 0.00654 µg/g,定量限为0.00179 ~ 0.01984 µg/g,线性相关系数均≥0.9948 (R2≥0)。9948)。此外,旱稻样品中镁(Mg)是优势元素。Mg含量在107.93 µg/g ~ 446.68 µg/g之间。元素含量的主成分分析占总变异的95.3% %。PLS-DA模型中的vip鉴定出Mg、铁(Fe)和钙(Ca)作为生物标志物。研究水稻品种中特征挥发性有机化合物及其元素的变化,为鉴定水稻品种中显著挥发性有机化合物及其元素提供理论依据。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
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