Agricultural Research Institute, Hokuren Federation of Agricultural Cooperatives , Sapporo, Japan.
Department of Biotechnology, Graduate School of Engineering, Osaka University , Osaka, Japan.
Biosci Biotechnol Biochem. 2020 Nov;84(11):2193-2198. doi: 10.1080/09168451.2020.1793656. Epub 2020 Jul 16.
Potato ( L.) tubers are usually harvested once a year; thus, long-term storage is required to supply quality-assured tubers throughout the year. Further, an applicable method to predict tuber quality during storage is needed. In this study, gas chromatography-mass spectrometry (GC/MS) metabolomics was applied to identify applicable biomarkers for prediction of potato chip color based on 3 years' field-grown tubers. The projections to latent structures (PLS) prediction model, calculated from a metabolome data set obtained before storage, was consistent with actual measured chip color values. Additionally, GC with frame ionization detector (GC/FID) metabolite fingerprinting simultaneously re-constructed more reliable and relevant prediction models for chip color quality compared to GC/MS. Moreover, nine metabolites detected by GC/MS analysis were further validated as applicable prediction markers. This strategy will provide a practical and cost-effective quality-control tool for potato processing manufacturers on an industrial scale.
马铃薯块茎通常每年收获一次，因此需要进行长期储存，以保证全年都能提供质量有保证的块茎。此外，还需要一种适用的方法来预测储存过程中的块茎质量。本研究采用气相色谱-质谱联用（GC/MS）代谢组学方法，对田间种植的 3 年块茎进行分析，以确定预测薯片颜色的适用生物标志物。基于存储前获得的代谢组数据集计算的偏最小二乘（PLS）预测模型与实际测量的薯片颜色值一致。此外，与 GC/MS 相比，带有帧离子化检测器（GC/FID）的 GC 代谢指纹图谱同时构建了更可靠和相关的薯片颜色质量预测模型。此外，通过 GC/MS 分析检测到的 9 种代谢物进一步验证为可用的预测标志物。该策略将为马铃薯加工制造商提供一种实用且具有成本效益的质量控制工具，适用于工业规模。
