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Identification of a freshness marker metabolite in stored soybean sprouts by comprehensive mass-spectrometric analysis of carbonyl compounds Identification of a freshness marker metabolite in stored soybean sprouts by comprehensive mass-spectrometric analysis of carbonyl compounds 蔦, 瑞樹 ツタ, ミズキ TSUTA, Mizuki The Author(s) 2018 Published by Elsevier Ltd. Abscisic acid Carbonyl compound Freshness assessment Metabolomics Soybean sprouts Abscisic acid Carbonyl compound Freshness assessment Metabolomics Soybean sprouts The objective of this study was to identify metabolites that quantitatively indicate degrees of freshness of soybean sprouts. Self-cultivated soybean sprouts were stored at 5 °C, 10 °C or 20 °C, and respiratory CO2 production rates were monitored using gas chromatography during storage. Carbonyl compounds (CCs) were analyzed comprehensively using mass-spectroscopic metabolomics analyses. CCs were derivatized using dansyl hydrazine (DH) and were then analyzed using high performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-MS/MS) with multiplexed multiple reaction monitoring (MRM). In the MRM chromatogram, 171 to 358 peaks were observed from stored soybean sprouts. Principle component analysis and discriminant analysis (PCA-DA) selected the CC-DH derivative ion with a m/z 512 at a retention time of 9.34 min as the most significant metabolite. Searching online metabolomics databases and matching fragment patterns of product ion mass spectra of an authentic standard revealed abscisic acid is a freshness marker of soybean sprouts. Elsevier 2018-12-15 eng journal article AM https://repository.naro.go.jp/records/2855 10.1016/j.foodchem.2018.07.036 SC10201812260010 NARO成果DBa author manuscript このアーカイブは著者版です。出版社版ではありません。引用の際には出版社版をご利用ください。 This is not the published version. Please cite only the published version. http://dx.doi.org/10.1016/j.foodchem.2018.07.036 Food Chemistry 0308-8146 Food Chemistry Food Chemistry 269 588 594 https://repository.naro.go.jp/record/2855/files/SC10201812260010_PrePrint-a.pdf application/pdf 501.2 kB 2020-01-01