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首页> 外文期刊>Analytica chimica acta >Determination of acetolactate synthase activity and protein content of oilseed rape(Brassica napus L.)leaves using visibleear-infrared spectroscopy
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Determination of acetolactate synthase activity and protein content of oilseed rape(Brassica napus L.)leaves using visibleear-infrared spectroscopy

机译:可见/近红外光谱法测定油菜油菜叶片的乙酰乳酸合酶活性和蛋白质含量

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摘要

A new acetolactate synthase(ALS)-inhibiting herbicide,propyl 4-(2-(4,6-dimethoxy-pyrimidin-2-yloxy)benzylamino)benzoate(ZJ0273),was applied to oilseed rape(Brassica napus L.)leaves in different leaf positions.Visibleear-infrared(Vis/NIR)spectroscopy was investigated for fast and non-destructive determination of ALS activity and protein content in rapeseed leaves.Partial least squares(PLS)analysis was the calibration method with comparison of different spectral preprocessing by Savitzky-Golay(SG)smoothing,standard normal variate(SNV),first and second derivative.The best PLS models were obtained by first-derivative spectra for ALS,whereas original spectra for soluble,non-soluble and total protein contents.Simultaneously,certain latent variables(LVs)were used as the inputs of back-propagation neural network(BPNN)and least squares-support vector machine(LS-SVM)models.All LS-SVM models outperformed PLS models and BPNN models.The correlation coefficient(r),root mean square error of prediction(RMSEP)and bias in validation set by LS-SVM were 0.998,0.715 and 0.079 for ALS,0.999,33.084 and 1.178 for soluble protein,0.997,42.773 and 6.244 for non-soluble protein,0.999,59.562 and 7.437 for total protein,respectively.The results indicated that Vis/NIR spectroscopy combined with LS-SVM could be successfully applied for the determination of ALS activity and protein content of rapeseed leaves.The results would be helpful for further on field analysis of using Vis/NIR spectroscopy to monitor the growing status and physiological properties of oilseed rape.
机译:一种新的抑制乙酰乳酸合酶的除草剂4-(2-(4,6-二甲氧基-嘧啶-2-基氧基)苄氨基)苯甲酸丙酯(ZJ0273)用于油菜油菜(Brassica napus L.)的叶研究了可见/近红外(Vis / NIR)光谱法对油菜叶片中ALS活性和蛋白质含量的快速和非破坏性测定。偏最小二乘(PLS)分析是不同光谱比较的校准方法通过Savitzky-Golay(SG)平滑,标准正态变量(SNV),一阶和二阶导数进行预处理。通过ALS的一阶导数光谱获得了最佳的PLS模型,而可溶性,非可溶性和总蛋白质含量则为原始光谱。同时,将某些潜在变量(LVs)用作反向传播神经网络(BPNN)和最小二乘支持向量机(LS-SVM)模型的输入。所有LS-SVM模型均优于PLS模型和BPNN模型。系数(r),预测的均方根误差LS-SVM的验证结果的离子(RMSEP)和偏差分别为ALS的0.998、0.715和0.079,可溶性蛋白的0.99、33.084和1.178,非可溶性蛋白的0.997、42.773和6.244,总蛋白的0.999、59.562和7.437结果表明,Vis / NIR光谱技术与LS-SVM结合可以成功地测定油菜叶片的ALS活性和蛋白质含量。该结果对进一步使用Vis / NIR光谱技术进行田间分析有帮助。监测油菜的生长状况和生理特性。

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