Simultaneous quantitative analysis of three components in mixture samples based on NIR spectra with temperature effect

2017 ◽  
Vol 9 (13) ◽  
pp. 2076-2081 ◽  
Author(s):  
Jin Jin Liu ◽  
Bao Qiong Li ◽  
Min Li Xu ◽  
Xue Wang ◽  
Hong Lin Zhai ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Temperature Effect ◽  
Near Infrared ◽  
Routine Analysis ◽  
Mixture Samples ◽  
Three Components

The temperature effect is usually regarded as one of the interference parameters in the routine analysis of near infrared (NIR) spectra.

Investigation of the particle size-dependent near-infrared spectral features of binary mixture samples in conjunction with Monte Carlo simulation and the influence of particle size on the accuracy of quantitative analysis

The Analyst ◽  
2018 ◽  
Vol 143 (18) ◽  
pp. 4306-4315 ◽  
Author(s):  
Pham K. Duy ◽  
Seulah Chun ◽  
Yoonjeong Lee ◽  
Hoeil Chung
Keyword(s):  
Monte Carlo Simulation ◽  
Particle Size ◽  
Monte Carlo ◽  
Quantitative Analysis ◽  
Near Infrared ◽  
Spectral Variation ◽  
Spectral Features ◽  
Size Dependent ◽  
Infrared Spectral ◽  
Mixture Samples

The origin of particle size-induced near-infrared (NIR) spectral variation, which is fundamental for robust quantitative analysis, was systematically studied in conjunction with Monte Carlo simulation.

Highly near-infrared reflecting and transparent conducting ZnO : Ga films: substrate temperature effect

2008 ◽  
Vol 41 (5) ◽  
pp. 055302 ◽  
Author(s):  
Quan-Bao Ma ◽  
Zhi-Zhen Ye ◽  
Hai-Ping He ◽  
Li-Ping Zhu ◽  
Wei-Chang Liu ◽  
...  
Keyword(s):  
Substrate Temperature ◽  
Temperature Effect ◽  
Near Infrared ◽  
Transparent Conducting

scholarly journals Discrimination and Content Analysis of Fritillaria Using Near Infrared Spectroscopy

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yu Meng ◽  
Shisheng Wang ◽  
Rui Cai ◽  
Bohai Jiang ◽  
Weijie Zhao
Keyword(s):  
Infrared Spectroscopy ◽  
Quantitative Analysis ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Partial Least Square ◽  
Least Square ◽  
Traditional Chinese Herbal Medicine ◽  
Total Alkaloids ◽  
Rapid Discrimination ◽  
Different Origins

Fritillaria is a traditional Chinese herbal medicine which can be used to moisten the lungs. The objective of this study is to develop simple, accurate, and solvent-free methods to discriminate and quantify Fritillaria herbs from seven different origins. Near infrared spectroscopy (NIRS) methods are established for the rapid discrimination of seven different Fritillaria samples and quantitative analysis of their total alkaloids. The scaling to first range method and the partial least square (PLS) method are used for the establishment of qualitative and quantitative analysis models. As a result of evaluation for the qualitative NIR model, the selectivity values between groups are always above 2, and the mistaken judgment rate of fifteen samples in prediction sets was zero. This means that the NIR model can be used to distinguish different species of Fritillaria herbs. The established quantitative NIR model can accurately predict the content of total alkaloids from Fritillaria samples.

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