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中文摘要：
使用近红外光谱分析方法进行了血清中胆固醇含量的快速、无试剂测量研究,并考察、分析了模型的适用性。利用傅里叶光谱仪测量1,2和6.5mm厚血清的近红外光谱,在合频与第一、第二倍频波段内,结合偏最小二乘方法（PLS）对胆固醇建立了模型。1,2,6.5mm厚血清模型的预测标准差（RMSEP）分别是0.15,0.16,0.29mmol.L-1,相对预测误差平均值（MPEP）是2.9%,3.1%,4.8%。为测试模型的适用性,模型建立后一个月内分别测量了其他两批血清的光谱,使用已建立的模型对样品进行预测,1mm模型的预测效果最好。实验结果表明,对于血清中胆固醇的含量,可以建立较高精度的分析模型。此外,建模采用的样品厚度较薄时,分析模型适用性更好。
英文摘要：
To study rapid analysis of cholesterol concentration in human serum with no reagent,near-infrared spectroscopy was used.Applicability of analytical models was studied.Spectra of serum were measured by a FT-NIR spectrometer with 1,2 and 6.5 mm optical path length respectively.Partial least-square（PLS） models were calibrated for cholesterol in combination,first overtone and second overtone spectral regions.Root mean square error of prediction（RMSEP） of these models is 0.15,0.16 and 0.29 mmol·L-1,and mean percent error of prediction（MPEP） is 2.9%,3.1% and 4.8%,respectively.To validate applicability of these models,other two groups of serum spectra were measured in one month after the models were calibrated.These two sample groups were calculated using calibrated models.Prediction result of 1mm model is the best.The result of this experiment indicates that it＇s possible to calibrate precise models for cholesterol.If model is based on thinner samples,applicability is better.
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