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机构地区:[1]中国农业大学理学院,北京100094 [2]中国农业大学信息与电气工程学院,北京100083
出 处:《光谱学与光谱分析》2006年第4期633-635,共3页Spectroscopy and Spectral Analysis
基 金:国家自然科学基金(30370812);国家高技术研究发展计划("863"计划)(2002AA248051-2)资助项目
摘 要:用通用紫外-可见分光光度计的短波近红外光谱区域(800~1100nm),测量了葡萄糖、果糖和蔗糖混合水溶液的近红外光谱,并用偏最小二乘方法建立了同时定量分析水溶液中葡萄糖、果糖和蔗糖的模型。用正交设计法配制了25个校正集样品和9个预测集样品,通过对校正集样品的建模和对预测集样品的检验,结果良好。对浓度范围分别在12.23~61.14mg·mL^-1,12.50~62.50mg·mL^-1,12.09~60.44mg·mL^-1的葡萄糖、果糖和蔗糖水溶液,校正集的相对标准偏差分别为1.43oA,4.51%和1.59%,预测集的相对标准偏差分别为3.40%,3.73%和2.80%。该方法对同时定量分析多组分体系,具有简便、快速价廉、易于推广应用等优点。The calibration model for simultaneous determination of glucose, fructose and sucrose in aqueous solution was built by partial least squares and short-wavelength near infrared speetroscopy(800-1 100 nm). Twenty five samples in calibration set and 9 samples in prediction set were designed by orthogonal design. Building models from calibration set and validation for prediction set obtained the better results. For concentrations of glucose, fructose and sucrose in the ranges of 12. 23-61.14 mg· mL^-1 , 12.50-62. 50 mg· mL^-1 and 12.09-60. 44 mg· mL^-1 , the relative standard deviations in the calibration set are 1.43%, 4. 51% and 1.59% respectively, and the relative standard deviations in the prediction set are 3.40%, 3. 73% and 2. 80% respectively. The advantages of the method are simple and effective, with low cost for the simultaneous determination of multi-component system. It may be applied in practice easily.
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