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机构地区:[1]浙江大学化学系,杭州310027 [2]中国农业科学院茶叶研究所,杭州310008
出 处:《分析化学》2001年第12期1450-1452,共3页Chinese Journal of Analytical Chemistry
基 金:浙江省分析测试基金资助项目 (No .0 0 12 6)
摘 要:利用烟酰胺在乙醇溶液中波段范围为 90 0 1~ 80 6 0cm- 1 和 74 4 3~ 714 4cm- 1 的近红外一阶导数吸收光谱 ,经过中心化、矢量归一化预处理 ,应用偏最小二乘法回归来消除溶剂乙醇的近红外吸收干扰 ,建立了快速检测高浓度烟酰胺的方法。 5 4个样本作为校正集 ,PLS最佳回归因子数为 4时 ,决定系数等于 0 .997;线性范围为 0 .13~ 0 .70mol L。本方法应用于 9个待测样品 ,预测相对偏差小于 2 .9% ,结果令人满意 。In the range of 9001 similar to 8060 cm(-1) and 7443 similar to 7144 cm(-1) first-order derivative near infrared spectra were used for quick determination of high concentration nicotinic amide. Vector normalization data pretreatment and partial least squares regression method were used to resolve the overlapping spectra of nicotinic amide as well as the alcohol solvent. 54 samples were taken as the calibration set getting a correlation coefficient of 0.997 at factor number of 4. The linear range is from 0.13 mol/L to 0.70 mol/L nicotinic amide. The relative deviations for the prediction results were < 2. 3% ( n = 9). The method gives satisfactory results for the sample analysis. Some factors influencing the precision of regression analysis were also discussed.
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