期刊文献+
共找到9篇文章
< 1 >
每页显示 20 50 100
Classification of Guizhou Aspidistra Plants by Near-infrared Diffuse Reflectance Spectroscopy 被引量:1
1
作者 高永跃 何顺志 徐文芬 《Agricultural Science & Technology》 CAS 2017年第4期575-578,590,共5页
[Objective] This study was conducted to establish a near-infrared diffuse reflectance spectroscopy of Guizhou Aspidistra plants. [Method] Twenty three batch- es of Guizhou Aspidistra plants including A. chishuiensis, ... [Objective] This study was conducted to establish a near-infrared diffuse reflectance spectroscopy of Guizhou Aspidistra plants. [Method] Twenty three batch- es of Guizhou Aspidistra plants including A. chishuiensis, A. spinula, A. Caespitosa, A. sichuanensis, A. ebianensis, A. retusa, A. guizhouensis and A. liboensis were subjected to drying, pulverization and sieving and then directly determined for near- infrared reflectance spectrums; and the plants in this genus were classified by clus- ter analysis and principal component analysis (PCA). [Result] The near-infrared re- flectance spectrums of the 23 batches of Guizhou Aspidistra plants showed very high similarity. The spectrums were processed by first derivative method, and the spectral range of 4 000-7 500 cm-1 was selected as the analytical range. Cluster analysis and PCA were employed to mass spectrum variables of plants in Aspidis- tra, fewer new variables became the linear combination of primary variables, and small differences between different varieties were enlarged, thereby facilitating intu- itive classification of plants in this genus. [Conclusion] Near-infrared diffuse re- flectance spectroscopy is nondestructive and rapid for determination of solid sam- pies, and provides a new method for the classification of Guizhou Aspidistra plants combined by information processing techniques. 展开更多
关键词 Guizhou Aspidistra plants near-infrared diffuse reflectance spectroscopy CLASSIFICATION
在线阅读 下载PDF
Titanium dioxide as an adsorbent to enhance the detection ability of near-infrared diffuse reflectance spectroscopy 被引量:4
2
作者 Shuyu Wang Jin Zhang +1 位作者 Wensheng Cai Xueguang Shao 《Chinese Chemical Letters》 SCIE CAS CSCD 2019年第5期1024-1026,共3页
A method for quantitative determination of fish sperm deoxyribonucleic acid(fsDNA)was developed by using titanium dioxide(TiO2)as an adsorbent and near-infrared diffuse reflectance spectroscopy(NIRDRS).The selective e... A method for quantitative determination of fish sperm deoxyribonucleic acid(fsDNA)was developed by using titanium dioxide(TiO2)as an adsorbent and near-infrared diffuse reflectance spectroscopy(NIRDRS).The selective enrichment of fsDNA was proved by comparing the adsorption efficiency of bovine serum albumin,tyrosine and tryptophan,and the low adsorption background of TiO2 was illustrated by comparing the spectra of four commonly-used inorganic adsorbents(alkaline aluminium oxide,neutral aluminium oxide,nano-hydroxyapatite and silica).The spectral feature of fsDNA can be clearly observed in the spectrum of the sample.Partial least squares(PLS)model was built for quantitative determination of fsDNA using 28 solutions,and 13 solutions with interferences were used for validation of the model.The results showed that the correlation coefficient(R)between the predicted and the reference concentration is 0.9727 and the recoveries of the validation samples are in the range of 98.2%-100.7%. 展开更多
关键词 near-infrared diffuse reflectance spectroscopy Quantitative model DETECTION ABILITY Titanium dioxide Fish SPERM DNA
原文传递
Rapid Identification for Drought Resistance of Wheat Using Near-infrared Diffuse Reflectance Spectroscopy 被引量:4
3
作者 冯伟森 吴少辉 +7 位作者 谷运红 张园 高海涛 王卫东 张灵帅 张学品 马飞 张灿军 《Agricultural Science & Technology》 CAS 2012年第12期2615-2619,共5页
[Objective] This study aimed to establish an identification system for drought-resistance in wheat by using near-infrared diffuse reflectance spectroscopy. [Method] In 2006-2007, 36 wheat varieties with different drou... [Objective] This study aimed to establish an identification system for drought-resistance in wheat by using near-infrared diffuse reflectance spectroscopy. [Method] In 2006-2007, 36 wheat varieties with different drought resistance were selected and were classified according to their drought resistance grades determined by the Technical Specification of Identification and Evaluation for Drought Resistance in Wheat (GB/T 21127-2007). In addition, the harvested wheat seed samples were spectrally analyzed with FOSS NIRSystems5000 near-infrared spectrum analyzer for grain quality (full spectrum analyzer) and then the forecasted regression equations were established. [Result] After the establishment of a database and validation, dis- criminated functions were obtained. The determination coefficient (RSQ) and coeffi- cients of determination for cross validation (1-VR) in the discriminant function built with seed samples from water stress area were 0.846 0 and 0.781 8, respectively, which indicated that the consistency between drought resistance and spectral charac- teristics in wheat varieties was good, and there was high correlation between the near-infrared diffuse reflectance spectra of seeds and the drought resistance in wheat. [Conclusiou] Under water stress condition, it is feasible to establish a conve- nient, rapid and no-damage identification system for the drought resistance in wheat by using the near-infrared diffuse reflectance spectrum technique to scan wheat seeds. 展开更多
关键词 near-infrared diffuse reflectance spectroscopy Identification for wheat drought resistance Discriminant function
在线阅读 下载PDF
Determination of triglycerides in human serum by near-infrared diffuse reflectance spectroscopy using silver mirror as a substrate 被引量:1
4
作者 Shuyu Wang Jin Zhang +3 位作者 Cuicui Wang Xiaoming Yu Wensheng Cai Xueguang Shao 《Chinese Chemical Letters》 SCIE CAS CSCD 2019年第1期111-114,共4页
Near infrared diffuse reflectance spectroscopy(NIRDRS) has gained wide attention due to its convenience for rapid quantitative analysis of complex samples. A method for rapid analysis of triglycerides in human serum u... Near infrared diffuse reflectance spectroscopy(NIRDRS) has gained wide attention due to its convenience for rapid quantitative analysis of complex samples. A method for rapid analysis of triglycerides in human serum using NIRDRS with silver mirror as the substrate is developed. Due to the even and high reflectance of the silver mirror, the spectral response is enhanced and the background interference is reduced.Furthermore, both linear and nonlinear modeling strategies were investigated adopting the partial least squares(PLS) and least squares support vector regression(LS-SVR), continuous wavelet transform(CWT)was used for spectral preprocessing, and variable selection was tried using Monte Carlo uninformative variable elimination(MC-UVE), randomization test(RT) and competitive adaptive reweighted sampling(CARS) for optimization the models. The results show that the determination coefficient(R) between the predicted and reference concentration is 0.9624 and the root mean squared error of prediction(RMSEP) is 0.21. The maximum deviation of the prediction results is as low as 0.473 mmol/L. The proposed method may provide an alternative method for routine analysis of serum triglycerides in clinical applications. 展开更多
关键词 near-infrared diffuse reflectance spectroscopy SILVER MIRROR Variable selection Quantitative model SERUM TRIGLYCERIDES
原文传递
Rapid, Non-Destructive, Textile Classification Using SIMCA on Diffuse Near-Infrared Reflectance Spectra 被引量:2
5
作者 Christopher B. Davis Kenneth W. Busch +2 位作者 Dennis H. Rabbe Marianna A. Busch Judith R. Lusk 《Journal of Modern Physics》 2015年第6期711-718,共8页
Soft independent modeling of class analogy (SIMCA) was successful in classifying a large library of 758 commercially available, non-blended samples of acetate, cotton, polyester, rayon, silk and wool 89% - 98% of the ... Soft independent modeling of class analogy (SIMCA) was successful in classifying a large library of 758 commercially available, non-blended samples of acetate, cotton, polyester, rayon, silk and wool 89% - 98% of the time at the 95% confidence level (p = 0.05 significance level). In the present study, cotton and silk had a 62% and 24% chance, respectively, of being classified with their own group and also with rayon. SIMCA correctly identified a counterfeit “silk” sample as polyester. When coupled with diffuse NIR reflectance spectroscopy and a large sample library, SIMCA shows considerable promise as a quick, non-destructive, multivariate method for fiber identification. A major advantage is simplicity. No sample pretreatment of any kind was required, and no adjust-ments were made for fiber origin, manufacturing process residues, topical finishes, weave pattern, or dye content. Increasing the sample library should make the models more robust and improve identification rates over those reported in this paper. 展开更多
关键词 diffuse near-infrared (NIR) reflectance Spectroscopy CHEMOMETRICS Soft Independent Modeling of Class ANALOGY (SIMCA) Pattern Recognition TEXTILE Identification Multivariate Analysis
暂未订购
RAPID DETERMINATION OF PROTEIN IN MILLET BY FOURIER TRANSFORM NEAR-INFRARED(FTNIR)DIFFUSE REFLECTANCE SPECTROSCOPY
6
作者 Le Ming SHI Zhi Hong XU Zhong Xiao PAN Zhi Liang LI Laboratory of Computer Chemistry,Institute of Chemical Metallurgy,Chinese Academy of Sciences,Beijing 100080 Yan Lu YAN Mao JIN Central Laboratory,Beijing Agricultural University,Beijing 100094 《Chinese Chemical Letters》 SCIE CAS CSCD 1990年第3期247-250,共4页
In this paper,the Fourier transform near-infrared(FTNIR)diffuse reflectance spectroscopy is applied for the rapid determination of protein in millet.The partial least-squares(PLS)regression is successfully used as an ... In this paper,the Fourier transform near-infrared(FTNIR)diffuse reflectance spectroscopy is applied for the rapid determination of protein in millet.The partial least-squares(PLS)regression is successfully used as an effective multivariate calibration technique.The calibration set is composed of 20 standard millet samples that the protein contents were determined by the traditional Kjeldahl method.The optimal model dimension is found to be 5 by cross-validation.22 millet samples were determined by the proposed FTNIR-PLS method.The correlation coefficient between the concentration values obtained by the FTNIR-PLS method and the traditional Kjeldahl method is 0.9805.The standard error of prediction(SEP)is 0.28% and the mean recovery is 100.2%.The proposed method has been successfully applied for the routine analysis of protein in about 10,000 grain samples. 展开更多
关键词 PLS NIR FTNIR)diffuse reflectance SPECTROSCOPY RAPID DETERMINATION OF PROTEIN IN MILLET BY FOURIER TRANSFORM near-infrared
在线阅读 下载PDF
Application of Short-wave Near-infrared Reflectance Spectroscopy in Controlling Extract of Fructus Cnidii Using Supercritical Carbon Dioxide 被引量:1
7
作者 MI Hong GUO Ye +4 位作者 LI Wen-liang Qu Nan DOU Ying REN Yu-qiu REN Yu-lin 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 2007年第1期116-119,共4页
Fructus cnidii (Chinese name shechuangzi) is the fruit produced by Cnidium monnieri (L.) Cusson (Umbelliferae). It is a perennial herb that is used to treat skin-related diseases and gynecopathyell. Recent pharm... Fructus cnidii (Chinese name shechuangzi) is the fruit produced by Cnidium monnieri (L.) Cusson (Umbelliferae). It is a perennial herb that is used to treat skin-related diseases and gynecopathyell. Recent pharmacological studies have revealed crude extracts or components isolated from fructus cnidii possess antiallergic, antipruritic, antidermatophytic, antibacterial, antifungal, and antiosteoporotic activities. Osthole and imperatorin are the major compounds present in shechuangzi. They are often used as standards for the evaluation of the quality of shechuangzi products. 展开更多
关键词 Fructus cnidii Supercfitical carbon dioxide Short-wave near-infrared diffuse reflectance spectrum Artificial neural network Degree of approximation
暂未订购
不同产地楮实子及伪品的近红外漫反射指纹图谱聚类分析 被引量:7
8
作者 黄宝康 朱斌 +2 位作者 郑汉臣 秦路平 张巧艳 《中药材》 CAS CSCD 北大核心 2002年第12期874-875,共2页
目的:对不同产地楮实子及其伪品进行指纹图谱鉴定分析。方法:用近红外漫反射光谱技术及聚类分析方法对楮实子药材及其伪品进行分析。结果:不同产地楮实子之间指纹图谱存在一定差异,与伪品差异较大。结论:该方法可用于楮实子药材的指纹... 目的:对不同产地楮实子及其伪品进行指纹图谱鉴定分析。方法:用近红外漫反射光谱技术及聚类分析方法对楮实子药材及其伪品进行分析。结果:不同产地楮实子之间指纹图谱存在一定差异,与伪品差异较大。结论:该方法可用于楮实子药材的指纹图谱鉴定,快速方便。不同产地楮实子之间的差异与药材性状有一定关联。 展开更多
关键词 楮实子 伪品 近红外漫反射指纹图谱 聚类分析
暂未订购
Particle size regression correction for NIR spectrum based on the relationship between absorbance and particle size 被引量:1
9
作者 Jinrui MI Luda ZHANG +1 位作者 Longlian ZHAO Junhui LI 《Frontiers of Optoelectronics》 EI CSCD 2013年第2期216-223,共8页
Based on the effect of sample size on the near- infrared (NIR) spectrum, the absorbance (log(R)) in any wavelength is divided into two parts, and one of them is defined as non-particle-size-related spectrometry ... Based on the effect of sample size on the near- infrared (NIR) spectrum, the absorbance (log(R)) in any wavelength is divided into two parts, and one of them is defined as non-particle-size-related spectrometry (nPRS) because it is not influenced by particle size. To study the relationship between the absorbance and l^article size, the experiment material including nine samples with different particle size was used. According to the regression analysis, the relationship was studied as the reciprocal regression model, y = a ~ bx + c/x. Meanwhile, the model divides absorbance into two parts, one of them forms nPRS. According to the nPRS, a new correction method, particle size regression correction (PRC) was introduced. In discriminate analysis, the spectra from three different samples (rice, glutinous rice and sago), pretreated by PRC, could be directly and accurately distinguished by principal component analysis (PCA), while by the traditional correction method, such as multiplicative signal correction (MSC) and standard normal variate (SNV), could not do that. 展开更多
关键词 near-infrared diffuse reflectance spectrometry (NIRDRS) regression analysis non-particle-size-related spectrum (nPRS) particle-size regress correction (PRC)
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部