文献类型：期刊文献

中文题名：人工神经元网络-红外光谱测定水溶液中山梨糖和山梨醇

英文题名：Artificial Neural Networks-Infrared Spectrometric Determination of Sorbose and Sorbitol in Aqueous Solution

作者：杭海峰[1];邱江[1];黄明志[1];叶勤[1];张嗣良[1]

机构：[1]华东理工大学生物反应器国家重点实验室,上海200237

年份：1998

卷号：26

期号：7

起止页码：810

中文期刊名：分析化学

外文期刊名：Chinese Journal of Analytical Chemistry

收录：CSTPCD;;Scopus;北大核心:【北大核心1996】；CSCD:【CSCD2011_2012】；

语种：中文

中文关键词：红外光谱;神经元网络;山梨糖;山梨醇;发酵;测定

外文关键词：Infrared spectrometry, artificial neural networks, sorbose, sorbitol

摘要：研究了用傅里叶变换－衰减全反射红外光谱法同时测定水溶液中的山梨糖和山梨醇，由于其特征吸收峰重叠较严重，提出了用人工神经元网络处理红外光谱的方法，并对标准样品和实际发酵液中的山梨糖和山梨醇进行了测定，结果满意。
Fourier transform infrared spectroscopy with attenuated total reflectance was applied to the simultaneous determination of sorbose and sorbitol in aqueous solution. Artificial neural network was used to resolve the severe overlap of infrared spectra in the characteristic region. This method has been proved with the satisfactory results for the determination of sorbose and sorbitol in the standard Samples and fermentation broth.