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Prediction of Total Phenolics and Flavonoids Contents in Chinese Wild Rice (Zizania latifolia) Using FT-NIR Spectroscopy
Total Phenolics Flavonoids Contents
2016/6/2
Total phenolics and flavonoids contents in Chinese wild rice were predicted using Near Infrared (NIR) spectroscopy as a rapid method. A Partial Least Square (PLS) algorithm was applied to perform the ...
Dynamic NIR Spectroscopy to Monitor Bread Dough Mixing: A Short Review
Monitor Bread Dough Mixing Short Review
2016/5/31
Near infrared (NIR) spectroscopy has been recognized as a valuable tool for quality control in both industry and laboratories. The aim of this review is to describe the ability of the dynamic NIR spec...
Dynamic NIR Spectroscopy to Monitor Wheat Product Processing: A Short Review
Monitor Wheat Product Processing Short Review
2016/5/31
The aim of this short review is to present the different applications of NIR spectroscopy to monitor and describe physical and chemical modifications during wheat products processing. The dynamic NIR ...
梨可溶性固形物含量NIR与变量筛选无损检测（Measurement of Soluble Solids Content in Pear by FT-NIR Spectroscopy and Variable Selection）
梨 可溶性固形物含量 近红外光谱
2010/12/28
为提高利用近红外光谱技术快速检测梨可溶性固形物含量的精度和稳定性，结合区间偏最小二乘和遗传算法（iPLS-GA）来筛选校正模型中的特征光谱区和变量，通过交互验证法确定模型中的主成分因子数和筛选的变量，并以预测均方根误差（RMSEP）和相关系数（Rp）作为模型评价标准。试验结果显示：iPLS-GA最优模型包含5个光谱区、50个变量和10个主成分因子。最佳预测模型相关系数（Rp）和RMSEP 分别为0...
近红外玉米品种鉴别系统预处理和波长选择方法（Effects of Spectral Pretreatment and Wavelength Selection on Discrimination of Maize Seed Varieties by NIR Spectroscopy）
近红外光谱 玉米 品种鉴别
2009/11/3
以7个品种玉米籽粒的鉴别系统为研究对象，对比研究了6种预处理方法和波长选择对模型鉴别能力的影响。结果表明，在被比较的6种预处理方法中，一阶导数方法能够使模型有更好的鉴别性能。使用一阶导数预处理和全光谱区的模型平均正确识别率和正确拒识率最高，分别为98.6％和98％，有5个品种的模型的正确识别率和正确拒识率都达到了100％。波长选择对一阶导数模型没有明显作用，但能使标准正态变量变换和矢量归一化模型鉴...
鲜枣品种和可溶性固形物含量近红外光谱检测（Detection of the Fresh Jujube Varieties and SSC by NIR Spectroscopy）
鲜枣 近红外光谱 无损检测
2009/5/19
采用近红外光谱分析技术无损鉴别鲜枣品种和测定其可溶性固形物含量。对3个不同品种的鲜枣进行光谱分析，各获取30个样本数据。采用平滑法和多元散射校正方法对样本数据进行预处理，再用主成分分析法对光谱数据进行聚类分析并获得各主成分数据。将样本随机分成75个建模样本和15个预测样本，将建模样本的主成分数据作为BP神经网络的输入变量，鲜枣品种和可溶性固形物含量作为输出变量，建立3层人工神经网络鉴别模型,并用该...
Nondestructive identification of tea (Camellia sinensis L.) varieties using FT-NIR spectroscopy and pattern recognition
green teaAvarietyAidentificationAFT-NIR spectroscopyApattern recognition
2014/3/3
Due to more and more tea varieties in the current tea market, rapid and accurate identification of tea (Camellia sinensis L.) varieties is crucial to the tea quality control. Fourier Transform Near-In...
Determination of selected parameters of quality of the dairy products by NIR spectroscopy
NIR spectroscopy dairy products dry matter fat pH titrable acidity of yoghurt
2014/3/17
The possibility of the application of near-infrared spectroscopy to the analysis of the selected parameters of quality of the dairy products was followed. The contents of solids and fat, as well as pH...