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首页> 外文期刊>Science Journal of Analytical Chemistry >Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)
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Near-Infrared Reflectance Spectroscopy (NIRs) for Determination of Tryptophan Content in Quality Protein Maize (QPM)

机译:近红外反射光谱法(NIR)测定优质蛋白玉米(QPM)中色氨酸的含量

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摘要

Quality protein maize (QPM) has approximately twice tryptophan (Trp) and lysine (Lys) concentrations in protein compared to normal maize. Because several genetic systems control the protein quality of QPM, it is essential to regularly monitor Trp and/or Lys in QPM breeding programs through laboratory analysis. The objective of the study was to evaluate the capability of Near –Infrared Reflectance Spectroscopy (NIRS) method in determining tryptophan content of QPM which enhance the efficiency of QPM research efforts by partially replacing more expensive and time-consuming wet chemistry analysis. 268 maize samples were used to develop NIRS models for Tryptophan content. Standard error (SEC) and coefficient of determination for the calibration were 0.007 and 0.76 respectively. When the NIRS model was subjected to external validation with 40 S2 lines from QPM breeding populations, the standard error of prediction (SEP) for validation and coefficient of determination between NIRS and the chemical data were 0.008 and 0.84 respectively. Therefore, from the result it is confirmed that NIRS model is effective tool for screening of QPM from normal maize.
机译:优质蛋白质玉米(QPM)的蛋白质中色氨酸(Trp)和赖氨酸(Lys)的浓度是正常玉米的两倍。由于多个遗传系统控制QPM的蛋白质质量,因此必须通过实验室分析定期监测QPM育种计划中的Trp和/或Lys。这项研究的目的是评估近红外反射光谱(NIRS)方法测定QPM色氨酸含量的能力,该方法通过部分替代更昂贵和耗时的湿化学分析来提高QPM研究工作的效率。 268个玉米样品用于开发色氨酸含量的NIRS模型。校准的标准误差(SEC)和测定系数分别为0.007和0.76。当使用来自QPM繁殖种群的40条S2品系对NIRS模型进行外部验证时,NIRS与化学数据之间的验证标准预测误差(SEP)和测定系数分别为0.008和0.84。因此,从结果可以证实,NIRS模型是从正常玉米中筛选QPM的有效工具。

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