Abstract
The quantitative freshness assessment method for vegetables is desired to upgrade the quality management system in agricultural distribution chain. Since lipid has broad diversity in species and plays an important role in the biological metabolism of plants, there is a possibility that lipid profile indicates the freshness of harvested vegetables. The aims of this study were to clarify the lipidomic alteration of stored cabbage and identify lipid molecules indicative of freshness. Cabbage leaves stored at 5 °C, 10 °C, and 20 °C were sampled periodically for lipidomic analysis by liquid chromatography-tandem mass spectrometry. The cumulative respiratory CO2 production was determined using a flow-through method via gas chromatography. A total of 74 lipid species had a significant correlation with cumulative CO2 production. Hierarchical cluster analysis (HCA) clustered them into three main groups. A partial least squares regression (PLSR) model established the relationship between the abundance of lipid species and the cumulative CO2 production. Four lipid molecules were selected as potential freshness markers. The PLSR model with the selected markers had a better performance in predicting the cumulative CO2 production than that by ascorbic acid which is conventionally used as a quality indicator of fresh produce. Our results show that lipidomic profiling could be viable for assessing the freshness of whole cabbage.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
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This work was supported by Cabinet Office, Government of Japan, Cross-ministerial Strategic Innovation Promotion Program (SIP), “Technologies for Smart Bio-industry and Agriculture” (funding agency: Bio-oriented Technology Research Advancement Institution, NARO), and JSPS KAKENHI Grant Number 16H02581 and 22H0389.
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Putri Wulandari Zainal: Investigation, Formal analysis, Software, Writing—original draft. Daimon Syukri: Methodology, Investigation. Khandra Fahmy: Writing—review & editing. Teppei Imaizumi: Formal analysis. Manasikan Thammawong: Formal analysis. Mizuki Tsuta: Software, Writing—review & editing. Masayasu Nagata: Writing—review & editing. Kohei Nakano: Conceptualization, Methodology, Supervision, Writing—review & editing, Funding acquisition.
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Zainal, P.W., Syukri, D., Fahmy, K. et al. Lipidomic Profiling to Assess the Freshness of Stored Cabbage. Food Anal. Methods 16, 304–317 (2023). https://doi.org/10.1007/s12161-022-02422-z
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DOI: https://doi.org/10.1007/s12161-022-02422-z