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Detection of Honey Pomelo in Different Granulation Levels Based on Near-Infrared Transmittance Spectroscopy Combined with Machine Vision(基于近红外透射光谱与机器视觉的蜜柚汁胞粒化分级检测) [PDF]
Shipin kexue jishu xuebao, 2021 Granulation is a physiological disorder of juice sacs in citrus fruit, which made juice sacs become hard and dry and damaged the internal quality of citrus fruit.
SUN Xiaopeng(孙潇鹏) +3 more
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Zhongguo youzhi, 2023 为快速、无损检测白檀果实的含油率及其油脂各脂肪酸含量，采用DA 7200型近红外分析仪采集115份白檀果实的光谱数据。采用标准正态变量转换法（SNV）、乘积分散校正法（MSC）、卷积平滑法（SG）、一阶导数（FDE）、二阶导数（SDE）以及多种方式相结合对原始光谱进行预处理，对比不同预处理方法的效果，选择最佳预处理方法，在此基础上，结合偏最小二乘法（PLS）和主成分回归分析（PCR）建立含油率及各脂肪酸含量的预测模型，比较不同模型的交互验证决定系数（RCV）和交互验证标准偏差（RMSECV ...
曹慧芳1,2，蒋丽娟2,3，刘强2,3，赵志伟2,3，李培旺2 CAO Huifang1,2, JIANG Lijuan2,3, LIU Qiang2,3, ZHAO Zhiwei2,3, LI Peiwang2
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Quantitative Analysis of Wheat Flour Quality using Raman Spectroscopy and Near Infrared Spectroscopy(拉曼光谱和近红外光谱在小麦粉品质定量分析中的应用) [PDF]
Shipin kexue jishu xuebao, 2014 Based on the existing spectral data, the spectral information of wheat flour was selected using the Raman spectroscopy and near infrared spectroscopy combined with the least square method.
SONG Yu(宋 瑜) +4 more
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Zhongguo youzhi, 2022 为了探索基于近红外光谱技术快速无损鉴别掺假油茶籽油的可行性，以赣南茶油为研究对象，通过掺入不同植物油如玉米油、花生油、菜籽油、葵花籽油和大豆油等制备掺假油茶籽油，应用近红外光谱技术采集其光谱特征信息，对比不同预处理方法和主成分数，并结合线性和非线性建模方法建立油茶籽油掺假鉴别模型，以识别准确率(纯油茶籽油样品和掺假油茶籽油样品被正确判别的比例）、灵敏度（纯油茶籽油样品被正确判别为纯油茶籽油的比例）、特异性（掺假油茶籽油样品被正确判别为掺假油茶籽油的比例）作为模型的评价指标，优选出最佳模型。结果表明 ...
沈乐丞，曾秀英，温志刚，张远聪，刘贤标，王玫，刘婷，范伟华，邹辉SHEN Lecheng, ZENG Xiuying, WEN Zhigang, ZHANG Yuancong, LIU Xianbiao, WANG Mei， LIU Ting, FAN Weihua, ZOU Hui
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Application of Migration Learning in Transfer of Oil Spectral Model(迁移学习在食用油光谱模型转移中的应用) [PDF]
Shipin kexue jishu xuebao, 2019 Models established by spectral data collected by different spectroscopy instruments have model failure problems, leading to the low utilization rate, which is not conducive to the development of the spectroscopy industry.
LIU Cuiling(刘翠玲) +5 more
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Research on Classifying Chicken Based on Near-infrared Spectroscopy(近红外光谱分析技术在鸡肉分类检测中的应用) [PDF]
Shipin kexue jishu xuebao, 2014 One quick and accurate method of distinguishing broiler chicken and native chicken was studied due to the disorder of chicken market. The discriminated model of chicken classification was built based on near infrared (NIR) spectroscopy technology and ...
XIANG Lingzi(向灵孜) +1 more
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Zhongguo cuzhong zazhi, 2023 对脑血管病患者的脑组织氧合情况实施床旁监测，对脑血管病的诊治及预后改善有重要价值。近红外光谱成像（near infrared spectroscopy，NIRS）作为一项新兴的脑成像技术，具有价格低廉、操作便捷、非侵入性等优点，逐渐成为脑血管病研究的焦点。本文介绍了NIRS的基本原理，探讨了NIRS在急性脑梗死早期识别、梗死后再灌注疗效评估、大面积脑梗死继发恶性脑水肿预测等方面的应用价值，预测了NIRS在大脑近皮层出血病情监测中的应用前景。此外，在蛛网膜下腔出血诊疗领域，NIRS通过动态监测脑氧饱和度，
王诗瑶, 许雅雯, 张炳蔚
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Moisture Detection of Peanuts Based on Near-infrared Spectral Characteristics(基于近红外光谱特性分析的花生含水率检测) [PDF]
Shipin kexue jishu xuebao, 2013 Based on the national standard of peanuts (GB/T 5497), the near infrared ray spectroscopy (NIRS) technology was used to test the moisture content of peanuts. Thirty kinds of peanuts with different moisture contents were prepared and the moisture contents
CHEN Tian-hua(陈天华) +2 more
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近红外光谱法快速测定米糠油中谷维素的含量Rapid determination of oryzanol in rice bran oil by near-infrared spectroscopy
Zhongguo youzhi, 2022 为了简便、快速、准确地测定米糠油中的谷维素含量，以LS/T 6121.2—2017的高效液相色谱法为测定米糠油中谷维素含量的参比方法，采用近红外光谱分析技术结合偏最小二乘法建立了米糠油中谷维素含量的定量分析模型。结果表明：所建定量分析模型的决定系数为99.81%，预测标准差为0.028 49%,交叉验证标准差为0.031 13%；利用99个验证集样品对定量分析模型进行外部独立验证,预测决定系数为99.81%,预测标准差为0.030 90%，用该定量分析模型检测样品绝对误差在-0.081%~0.057 ...
彭志兵1,熊小辉1，郁露2，张晨1，胡春1 PENG Zhibing1,XIONG Xiaohui1,YU Lu2,ZHANG Chen1,HU Chun1
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Outlier Sample Eliminating Methods for Building Calibration Model of Near Infrared Spectroscopy Analysis(近红外光谱奇异样本剔除方法研究) [PDF]
Shipin kexue jishu xuebao, 2014 The accuracy of the prediction model is affected by the near-infrared spectrum of flour and flour ash contents was quantitative analyzed. While the presence of outlier data seriously interfere with the reliability of the model, therefore, it is essential
LIU Cuiling(刘翠玲) +6 more
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