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通过近红外光谱法同时测量水溶液中的葡萄糖和谷氨酰胺。

Simultaneous measurement of glucose and glutamine in aqueous solutions by near infrared spectroscopy.

作者信息

Chung H, Arnold M A, Rhiel M, Murhammer D W

机构信息

Department of Chemistry, University of Iowa, Iowa City 52242.

出版信息

Appl Biochem Biotechnol. 1995 Feb;50(2):109-25. doi: 10.1007/BF02783448.

Abstract

A method is described for measuring the concentrations of both glucose and glutamine in binary mixtures from near infrared (NIR) absorption spectra. Spectra are collected over the range from 5000-4000/cm (2.0-2.5 microns) with a 1-mm optical path length. Glucose absorbance features at 4710, 4400, and 4300/cm and glutamine features at 4700, 4580, and 4390/cm provide the analytical information required for the measurement. Multivariate calibration models are generated by using partial least squares (PLS) regression alone and PLS regression combined with a preprocessing digital Fourier filtering step. The ideal number of PLS factors and spectral range are identified separately for each analyte. In addition, the optimum Fourier filter parameters are established for both compounds. The best overall analytical performance is obtained by combining Fourier filtering and PLS regression. Glucose measurements are established over the concentration range from 1.66-59.91 mM, with a standard error of prediction (SEP) of 0.32 mM and a mean percent error of 1.84%. Glutamine can be measured over the concentration range from 1.10-30.65 mM with a SEP of 0.75 mM and a mean percent error of 6.67%. These results demonstrate the analytical utility of NIR spectroscopy for monitoring glucose and glutamine levels in mammalian and insect cell cultures.

摘要

描述了一种从近红外(NIR)吸收光谱测量二元混合物中葡萄糖和谷氨酰胺浓度的方法。光谱在5000 - 4000/cm(2.0 - 2.5微米)范围内收集,光程长度为1毫米。葡萄糖在4710、4400和4300/cm处的吸光度特征以及谷氨酰胺在4700、4580和4390/cm处的特征提供了测量所需的分析信息。通过单独使用偏最小二乘法(PLS)回归以及将PLS回归与预处理数字傅里叶滤波步骤相结合来生成多元校准模型。分别为每种分析物确定理想的PLS因子数量和光谱范围。此外,为两种化合物确定最佳傅里叶滤波器参数。通过结合傅里叶滤波和PLS回归可获得最佳的整体分析性能。葡萄糖浓度测量范围为1.66 - 59.91 mM,预测标准误差(SEP)为0.32 mM,平均百分比误差为1.84%。谷氨酰胺浓度测量范围为1.10 - 30.65 mM,SEP为0.75 mM,平均百分比误差为6.67%。这些结果证明了近红外光谱在监测哺乳动物和昆虫细胞培养物中葡萄糖和谷氨酰胺水平方面的分析实用性。

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