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拉曼光谱法无损检测蜂蜜中的果糖和葡萄糖含量

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成果类型:
期刊论文
作者:
李水芳;张欣;李姣娟;单杨;黄自知
通讯作者:
Shan, Y.(shanyang-jgs@163.com)
作者机构:
[李水芳; 李姣娟; 黄自知] College of Science, Central South University of Forestry and Technology, Changsha 4l0004, China
[Shan, Yang] Hunan Food Test and Analysis Center, Changsha 410125, China
[张欣] Longping Branch Graduate School, Central South University, Changsha 410125, China
通讯机构:
Hunan Food Test and Analysis Center, China
语种:
中文
关键词:
无损检测;拉曼光谱;葡萄糖;蜂蜜;果糖含量;偏最小二乘法;支持向量机法
关键词(英文):
Calibration;Chromatography;Coherent scattering;Food products;Forecasting;Fructose;Glucose;Iterative methods;Least squares approximations;Mean square error;Nondestructive examination;Spectrometers;Support vector machines;Correlation coefficient;Honey;Partial least-squares regression;PLS;Quantitative calibrations;Root-mean-square error of predictions;Support vector machine regressions;SVM;Raman spectroscopy
期刊:
农业工程学报
ISSN:
1002-6819
年:
2014
卷:
30
期:
6
页码:
249-255
基金类别:
国家科技支撑计划项目(2009BADB9B07) 中南林业科技大学人才启动基金项目(104-0309)资助
机构署名:
本校为第一机构
院系归属:
理学院
摘要:
应用拉曼光谱结合化学计量学方法对蜂蜜果糖和葡萄糖含量进行了定量分析。用自适应迭代重加权惩罚最小二乘(adaptive iteratively reweighted penalized least squares,airPLS)算法进行基线校正,用竞争性自适应重加权采样(competitive adaptive reweighted sampling,CARS)算法筛选变量,分别用线性的偏最小二乘(partial least squares,PLS)回归算法和非线性的支持向量机(support vector machines,SVM)回归算法建立定量校正模型,并进行预测。2种模型都有较好的预测结果。对果糖,SVM模型预测值与高效液相色谱法(high performance liquid chromatography,HPLC)测定值的相关系数(...
摘要(英文):
Raman spectroscopy combined with chemometric methods was used to rapidly measure the content of fructose and glucose in honey. Seventy-five authentic honey samples from sixteen floral origins were obtained directly from bee-keepers in ten provinces of China from 2008 to 2010. The samples were stored at 6-8°C in the laboratory before their analysis. Honey were liquefied in a water bath at 55°C and manually stirred to ensure homogeneity before spectral measurements. Spectra of honey samples were recorded using an i-Raman spectrometer (BWS 415-7...

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