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The study on the near infrared spectrum technology of sauce component analysis

机译:促甲酱组分分析近红外光谱技术研究

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The author, Shangyu Li, engages in supervising and inspecting the quality of products. In soy sauce manufacturing, quality control of intermediate and final products by many components such as total nitrogen, saltless soluble solids, nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem, we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work, a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer, the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids, total nitrogen, total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen, 0.913 and 1.215 for saltless soluble solids, 0.855 and 0.199 nitrogen of amino acids, 0.966 and 0.231 for total acid, respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.
机译:作者,上虞李,参与监督和检查产品质量。在酱油制造中,需要许多组分的中间体和最终产品的质量控制,如总氮,无盐溶性固体,氨基酸的氮和总酸。湿化学分析方法需要很多劳动和时间进行这些分析。为了补偿这个问题,我们使用近红外光谱技术来测量酱油的化学组成。在工作过程中,收集了一定量的酱油,并通过湿化学分析方法分析。用两种光谱仪扫描酱油,傅立叶变换靠近红外光谱仪(FT-NIR光谱仪)和靠近红外光谱分析仪。通过部分最小二乘回归和逐步多次线性回归与湿化学方法的组件校准近红外光谱。通过交叉验证预测了无盐溶性固体,总氮,总酸和氮的含量。将结果与湿化学分析方法进行比较。在更好的预测运行中预测(RMSEP)的相关系数和根平均方误差被发现为总氮的0.961和0.206,0.913和1.215用于无盐溶性固体,0.855和0.199氮的氨基酸,0.966和0.231对于总酸。这里提出的结果表明,NIR光谱技术很有希望快速可靠地确定酱油的主要部件。

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