搜索结果: 1-15 共查到“NEAR-INFRARED SPECTROSCOPY”相关记录28条 . 查询时间(0.14 秒)
Non-destructive Measurements of Toona sinensis Chlorophyll and Nitrogen Content Under Drought Stress Using Near Infrared Spectroscopy
Toona Chlorophyll Nitrogen Content Drought Stress
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2023/6/2
An approach to quantify natural durability of Eucalyptus bosistoana by near infrared spectroscopy for genetic selection
Eucalyptus near infrared spectroscopy genetic selection
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2023/6/5
Analysis of amino acid composition of sheep colostrum by near-infrared spectroscopy
near-infrared spectroscopy; sheep colostrum; amino acids
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2015/6/1
This paper deals with changes in the basic composition of sheep colostrum within the first 72 hours after parturition on the one hand and with the possibility of determining the major components of sh...
An Online Database of Infant Functional Near InfraRed Spectroscopy Studies: A Community-Augmented Systematic Review
Infant Functional Near InfraRed Spectroscopy Community-Augmented Systematic Review
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2015/4/24
Until recently, imaging the infant brain was very challenging. Functional Near InfraRed Spectroscopy (fNIRS) is a promising,relatively novel technique, whose use is rapidly expanding. As an emergent f...
Discriminant analysis of Olomouc curd cheese by Fourier transform near infrared spectroscopy
ripening Mahalanobis distance
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2014/3/28
We used the discriminant analysis of curd cheese during storage by Fourier transform near infrared spectroscopy method (FT-NIRs). Olomouc curd cheese samples were stored at 5 and at 20°C during seven ...
Evaluation of ultraviolet, visible, and near infrared spectroscopy for the analysis of wine compounds
spectral analysis glycerol chemometrics PLS PCR organic acids ethanol
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2014/3/28
Spectroscopy of UV-VIS-NIR combined with chemometric analyses was used as a non-destructive technique to build models for the quantitative characterisation of the main compounds of wine. The work in m...
Determining Weight and Moisture Properties of Sound and Fusarium-Damaged Single Wheat Kernels by Near-Infrared Spectroscopy
Determining Weight Moisture Properties Sound and Fusarium-Damaged Single Wheat Kernels Near-Infrared Spectroscopy
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2014/5/23
Single kernel moisture content (MC) is important in the measurement of other quality traits in single kernels because many traits are expressed on a dry weight basis. MC also affects viability, storag...
醋糟有机基质含水率的可见/近红外光谱检测(Detection of Moisture Content in Vinegar Residue Substrate Using Visible-near-infrared Spectroscopy)
醋糟 有机基质 含水率
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2010/12/29
以醋糟有机基质为研究对象,采用便携式可见/近红外光谱仪采集了不同含水率基质样品(69个)的漫反射光谱,通过选择不同的光谱预处理方法并确定其主成分数,建立了基于偏最小二乘法(PLS)的醋糟基质含水率定量分析模型。结果表明,以滑动平均滤波(MAF)和一阶微分(FD)相结合作为原始光谱的预处理方法所建立的模型(主成分数为5)对基质含水率的检测效果较好,其校正模型和预测模型决定系数分别为0.9930和0....
微量有机磷农药残留近红外光谱快速检测方法(Determination of Organophosphorus Pesticide Residue by Using Near-infrared Spectroscopy)
有机磷农药 近红外光谱 偏最小二乘回归法
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2010/12/28
以滤纸作为农药载体,在波数4000~10000cm-1范围内获取其近红外光谱曲线。分别采取偏最小二乘回归法和最佳波段差值回归法建立农药质量比的预测模型。偏最小二乘回归法在经过多元散射校正和变量标准化预处理后得到的预测结果较好,预测相关系数为0.954,通过最佳波段差值回归法得到的预测相关系数为0.904。两种建模方法都得到了较好的预测结果。
雪莲花产地鉴别的近红外光谱分析方法(Discrimination of Snow Lotus from Different Geographical Origins by Near Infrared Spectroscopy)
雪莲花 产地鉴别 近红外光谱 K-最近邻域
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2010/12/28
以青海、西藏、云南和新疆4个不同产地的雪莲花为研究对象,利用K-最近邻域(KNN)模式识别方法建立雪莲花产地鉴别模型,模型参数K和主成分因子数(PCs)通过交互验证的方法优化;同时比较了标准正态变量变换(SNV)、多元散射校正(MSC)、一阶导数和二阶导数4 种预处理方法对模型结果的影响。试验结果显示,通过SNV光谱预处理后,在K为3和PCs为5时,所得到的模型最佳,模型交互验证识别率和预测识...
猪肉肌内脂肪含量的可见/近红外光谱在线检测(On-line Prediction of Intramuscular Fat Content in Pork Muscle with Visible/Near-infrared Spectroscopy)
猪肉 肌内脂肪含量 在线检测 小波消噪
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2010/12/28
研究基于可见/近红外光谱分析技术的新鲜猪肉肌内脂肪含量在线检测。实验样本为208份背最长肌,实验时样品以0.25m/s的速度运动,采集可见/近红外漫反射光谱,进行小波消噪处理后,结合不同的光谱预处理方法建立肌内脂肪含量的偏最小二乘回归模型。研究发现采用db6小波在6层分解后以极大极小原理选择阈值进行消噪效果较好;消噪的光谱直接建立的PLSR模型预测性能较差,经过多元散射校正、变量标准化及微分等预...
Nondestructive detection of moldy chestnut based on near infrared spectroscopy
NIR supervised pattern recognition nondestructive detection chestnuts
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2011/1/13
Chestnut is one of the important agricultural products, especially in Asia. However, a large number of chestnuts are lost due to mildew after harvest. A critical method for preventing and reducing lar...
不同贮存温度蜂花粉的可见-近红外光谱鉴别(Application of Visible/Near Infrared Spectroscopy for Discrimination of Bee Pollen under Different Storage Temperature)
可见-近红外光谱技术 蜂花粉 贮存温度
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2009/11/3
利用可见-近红外光谱技术结合最小二乘支持向量机(LS-SVM)对不同贮存温度下的蜂花粉进行鉴别。选择-20、4、15、25和40℃ 5个温度下分别贮存60d后的蜂花粉为研究对象。对原始光谱数据进行平滑和附加散射校正(MSC)的预处理后进行主成分分析,选择4~20个主成分作为输入变量进行LS-SVM建模。模型预测参数比较结果显示,当主成分数取20时模型的预测效果最好,预测相关系数r2p≥0.9919...
苹果内部品质近红外光谱检测的异常样本分析(Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Apple Interior Quality)
苹果 无损检测 异常样本 近红外光谱
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2010/2/26
应用声光可调谐滤光器近红外光谱仪检测苹果内部品质(可溶性固形物含量、总糖、总酸和硬度)时,综合利用Cook距离、马氏距离、杠杆值和学生化残差,判断疑似异常样本点,然后用二审剔除判别法确定异常样本点。最终可溶性固形物含量、总糖、总酸模型都剔除了11个异常样本,硬度模型剔除了6个异常样本。其偏最小二乘回归模型的相关系数分别从0.868、0.791、0.443、0.693提高到0.904、0.849、0...
基于近红外光谱分析法的奶粉品质快速检测(Quick Determination Method of Milk Powder Quality by Near-infrared Spectroscopy)
奶粉 品质检测 近红外光谱
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2009/8/11
选择11个品牌的10多种配方奶粉,共80个样品,使用PDA型近红外光谱仪采集奶粉漫反射光谱,波长范围1089~2219nm。对光谱进行了SNV、软阈小波消噪及一阶微分预处理,通过比较主成分在不同波长上的权重分布,选择不同波段建立校正模型和进行预测精度分析。结果表明,奶粉的蛋白质和脂肪的近红外光谱信息主要分布于1100~1400nm和1800~2200nm波段内,采用小波消除原始光谱的噪声能提高校正...