Volatile Organic Compounds as Key Indicators for Rice Freshness and Quality Assessment during Storage Using GC-IMS

Rice storage is always accompanied by changes in nutrition and safety, making the evaluation of freshness and quality essential. This study investigated the changes in the quality properties and volatile organic compounds (VOCs) of five rice cultivars under different storage conditions, aiming to identify common VOC indicators that reflect rice freshness and quality. A total of 109 major volatiles were identified from the rice samples during the 6-month storage, and changes in the VOCs effectively differentiated their quality properties. Furthermore, partial least-squares regression models were constructed and evaluated to predict fat acidity, freshness value, and taste value based on the VOCs, with 5-methylfurfural, dimethyl disulfide, and acetoin identified as key compounds. The R2 of the freshness value and taste value models were 0.76 and 0.63, respectively, indicating the effectiveness of the models. This study provides VOC indicators reflecting rice quality and proposes new methods for rapid rice quality and freshness evaluation.

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Publication Details

Journal
ACS Food Science & Technology
Published
2025-02-26
DOI
https://doi.org/10.1021/acsfoodscitech.4c00861
Citations
1
Primary Topic
GABA and Rice Research
Type
article
Field-Weighted Citation Impact
1.75

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article

Volatile Organic Compounds as Key Indicators for Rice Freshness and Quality Assessment during Storage Using GC-IMS

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1 citations
ACS Food Science & Technology
GABA and Rice Research
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article

Volatile Organic Compounds as Key Indicators for Rice Freshness and Quality Assessment during Storage Using GC-IMS

Lixiao Song, Xiangyang Yu, Baiyi Lu, Linshu Jiao, Ran Wang, Tao Han, Xianjin Liu
article en
1 citations

Abstract

Rice storage is always accompanied by changes in nutrition and safety, making the evaluation of freshness and quality essential. This study investigated the changes in the quality properties and volatile organic compounds (VOCs) of five rice cultivars under different storage conditions, aiming to identify common VOC indicators that reflect rice freshness and quality. A total of 109 major volatiles were identified from the rice samples during the 6-month storage, and changes in the VOCs effectively differentiated their quality properties. Furthermore, partial least-squares regression models were constructed and evaluated to predict fat acidity, freshness value, and taste value based on the VOCs, with 5-methylfurfural, dimethyl disulfide, and acetoin identified as key compounds. The R2 of the freshness value and taste value models were 0.76 and 0.63, respectively, indicating the effectiveness of the models. This study provides VOC indicators reflecting rice quality and proposes new methods for rapid rice quality and freshness evaluation.

ACS Food Science & TechnologyVol. 5(3)
Ministry of Science and Technology (BA), Jiangsu Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Zhejiang University (CN)
Agriculture Research System of China, Ministry of Agriculture and Rural Affairs of the People's Republic of China, Jiangsu Agricultural Science and Technology Independent Innovation Fund, Key Technologies Research and Development Program
Zero hunger
Openalex Percentile: Top 17%
GABA and Rice Research
1.75
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