Prediction of protein and oil contents in soybeans using fluorescence excitation emission matrix
Prediction of protein and oil contents in soybeans using fluorescence excitation emission matrix
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DOI：
10.1016/j.foodchem.2021.130403
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发表时间：
2021-07-01
期刊：
影响因子：
8.8
通讯作者：
Kondo, Naoshi
中科院分区：
文献类型：
--
作者：
Saito, Yoshito;Itakura, Kenta;Kondo, Naoshi
为了探讨荧光光谱法在大豆蛋白质和脂肪含量预测中的应用潜力，采用前向测量法对34个大豆粉样品的激发发射矩阵（EEM）进行了测量，并对蛋白质和脂肪含量预测的准确性进行了评价。EEM在230/335、285/335、365/475和435/495 nm的激发/发射（Ex/Em）波长处显示出四个主峰。此外，二阶导数同步荧光（SDSF）光谱提取的EEM，偏最小二乘回归和支持向量机模型上的每个EEM和SDSF光谱。蛋白质和油脂的R-2值分别达到0.86和0.74。从上样光谱来看，在230-285/335 nm和350/500 nm的Ex/Em处的荧光分别主要有助于蛋白质和油含量的预测。这些结果揭示了荧光光谱作为快速预测大豆蛋白质和油含量的工具的潜力。
To investigate the potential of fluorescence spectroscopy in evaluating soybean protein and oil content, excitation emission matrix (EEM) was measured on 34 samples of soybean flours using a front-face measurement, and the accuracy of the protein and oil content prediction was evaluated. The EEM showed four main peaks at excitation/emission (Ex/Em) wavelengths of 230/335, 285/335, 365/475, and 435/495 nm. Furthermore, second derivative synchronous fluorescence (SDSF) spectra were extracted from the EEMs, and partial least square regression and support vector machine models were developed on each of the EEMs and SDSF spectra. The R-2 values reached 0.86 and 0.74 for protein and oil, respectively. From the loading spectra, fluorescence at Ex/Em of 230-285/335 nm and 350/500 nm mainly contribute to the protein and oil content prediction, respectively. Those results revealed the potential of fluorescence spectroscopy as a tool for a rapid prediction of soybean protein and oil content.