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[光程长度对黄酒中痕量金属测定近红外分析结果的影响]

[Influence of optical path length on NIR analysis results for trace metal determination in Chinese rice wine].

作者信息

Yu Hai-Yan, Ying Yi-Bin, Xie Li-Juan, Fu Xia-Ping

机构信息

College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2007 Jun;27(6):1118-20.

Abstract

The prediction performance of near infrared (NIR) spectra with different optical path-length for trace metal (potassium, calcium, magnesium, zincum, and iron) determination was investigated. NIR transmission spectra of Chinese rice wine were collected in rectangular quartz cuvette with different optical path lengths (1, 2, 5 and 10 mm) using Fourier transform near infrared (FT-NIR) spectrometer in the wavelength range of 800-2 500 nm with air as the reference. The reference data for potassium, calcium, magnesium, zinc, and iron were determined by atomic absorption spectroscopy (AAS). Calibration models were developed by partial least squares (PLS) regression. The PLS models of NIR spectra group with 5 mm path length gave the best calibration result. The determination coefficients (r2) for potassium, calcium, magnesium, zincum, and iron were 0.93, 0.85, 0.93, 0.72, and 0.66, respectively, and the root mean square error of cross validation (RMSECV) for the five elements were 26.5, 35.6, 4.63, 0.26, and 0.64 mg x L-(-1), respectively, whereas the models established by NIR spectra group of 10 mm path-length was the worst. And the r2 values for potassium, calcium, magnesium, zincum, and iron were 0.61, 0.65, 0.63, 0.09, and 0.25, respectively. The results indicated that the optical path length has an influence on the NIR analysis results for trace metal determination in Chinese rice wine, and that the appropriate path length for the NIR analysis should be determined by comparison analysis.

摘要

研究了不同光程的近红外(NIR)光谱对痕量金属(钾、钙、镁、锌和铁)测定的预测性能。以空气为参比,使用傅里叶变换近红外(FT-NIR)光谱仪,在800 - 2500 nm波长范围内,于不同光程(1、2、5和10 mm)的矩形石英比色皿中采集中国黄酒的近红外透射光谱。钾、钙、镁、锌和铁的参比数据通过原子吸收光谱法(AAS)测定。采用偏最小二乘法(PLS)回归建立校准模型。光程为5 mm的近红外光谱组的PLS模型给出了最佳校准结果。钾、钙、镁、锌和铁的测定系数(r2)分别为0.93、0.85、0.93、0.72和0.66,这五种元素的交叉验证均方根误差(RMSECV)分别为26.5、35.6、4.63、0.26和0.64 mg·L⁻¹,而光程为10 mm的近红外光谱组建立的模型最差。钾、钙、镁、锌和铁的r2值分别为0.61、0.65、0.63、0.09和0.25。结果表明,光程长度对中国黄酒中痕量金属测定的近红外分析结果有影响,近红外分析的合适光程长度应通过对比分析来确定。

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