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首页> 外文期刊>The Kasetsart Journal >Application of Near Infrared Spectroscopy to Predict Crude Protein in Shrimp Feed
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Application of Near Infrared Spectroscopy to Predict Crude Protein in Shrimp Feed

机译:近红外光谱法在虾饲料粗蛋白预测中的应用

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摘要

The preliminary study of using near infrared spectroscopy (NIRS) to predict crude protein in shrimp feed was carried out. The calibration set of 41 shrimp feed samples was laboratorily prepared against the validation set of 39 samples with similar distribution for the chemical content. The samples were scanned for the NIR spectra in the wavelength region of 1100 nm to 2500 nm. Both multiple linear regression (MLR) and partial least square regression (PLS) were performed to analyze data to create the best calibration equations. The results indicated that absorbances at wavelengths of 1686 nm, 1778 nm and 2486 nm were related with protein in the samples. At 1686 nm the absorbance was found to coincide with that of protein analytically found the most in the prepared shrimp feed. Following the use of wavelengths selected in MLR for constraining the wavelength region as input to PLS, the calibration equations were shown to improve in prediction accuracy.
机译:进行了使用近红外光谱法(NIRS)预测虾饲料中粗蛋白的初步研究。实验室准备了41个虾饲料样品的校准组,而化学成分的分布相似的39个样品的验证组则被校准。扫描样品在1100 nm至2500 nm波长范围内的NIR光谱。进行了多元线性回归(MLR)和偏最小二乘回归(PLS)来分析数据以创建最佳校准方程。结果表明,样品中蛋白质在1686 nm,1778 nm和2486 nm的吸光度与蛋白质有关。在1686 nm处,发现吸光度与在制备的虾饲料中分析发现的最大蛋白质吸光度一致。在使用在MLR中选择的波长来约束波长区域作为PLS的输入后,显示了校正公式可以提高预测精度。

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