Line-narrowing effects in the near-infrared spectrum of water and precision determination of spectroscopic parameters

2014 ◽  
Vol 140 (4) ◽  
pp. 044310 ◽  
Author(s):  
Pasquale Amodio ◽  
Luigi Moretti ◽  
Antonio Castrillo ◽  
Livio Gianfrani
Keyword(s):  
Infrared Spectrum ◽  
Near Infrared ◽  
Spectroscopic Parameters ◽  
Precision Determination ◽  
Line Narrowing ◽  
Near Infrared Spectrum

Determination of Magnolol and Honokiol in Mangnolia Officinalis by Near-Infrared Spectroscopy Rapidly

2013 ◽  
Vol 807-809 ◽  
pp. 2092-2096
Author(s):  
Jing Wei Lei ◽  
Hai Yan Gong ◽  
Yan Li Guo ◽  
Cai Xia Xie ◽  
Xiao Yan Duan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Infrared Spectrum ◽  
Near Infrared ◽  
Cross Validation ◽  
Quantitative Model ◽  
Calibration Model ◽  
Mean Square ◽  
Validation Set ◽  
Near Infrared Spectrum

In this paper, Near-infrared spectrum technology was applied for fast determining the content of magnolol and honokiol in Mangnolia officinalis. 105 samples of Mangnolia officinalis from xx pharmaceutical factories were divided into a calibration set (79 samples) and a validation set (26 samples). The near infrared spectrum of samples were collected, while take the HPLC value as a reference, Use the partial least squares (PLS) to establish the quantitative model of Magnolol and Honokiol. The correlation coefficient of calibration (R2), the root-mean-square error of calibration (RMSEC) and the root-mean-squareerror of cross-validation (RMSECV) of the calibration model were 0.9813, 0.0833, 0.2518; the recovery rate of prediction of the validation was 99.99%.The method is uncomplicated and result is accurate, which could measure the content of Mangnolia officinalis in bulk and fast, save costs and improve efficiency.

scholarly journals Nanopatterned metallic transparent electrodes for the near-infrared spectrum

AIP Advances ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 045005
Author(s):  
Aliaksandr Hubarevich ◽  
Mikita Marus ◽  
Yauhen Mukha ◽  
Aliaksandr Smirnov ◽  
Xiao Wei Sun
Keyword(s):  
Infrared Spectrum ◽  
Near Infrared ◽  
Transparent Electrodes ◽  
Near Infrared Spectrum

An electrically driven whispering gallery polariton microlaser

Nanoscale ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 5448-5459
Author(s):  
Mingming Jiang ◽  
Peng Wan ◽  
Kai Tang ◽  
Maosheng Liu ◽  
Caixia Kan
Keyword(s):  
Infrared Spectrum ◽  
Near Infrared ◽  
Whispering Gallery ◽  
Near Infrared Spectrum

An electrically driven whispering gallery polariton microlaser composed of a ZnO:Ga microwire and a p-GaAs template was fabricated. Its working characteristics of polariton lasing in the near-infrared spectrum were demonstrated.

scholarly journals Theoretical Simulation of Near-Infrared Spectrum of Piperine: Insight into Band Origins and the Features of Regression Models

2021 ◽  
pp. 000370282110279
Author(s):  
Justyna Grabska ◽  
Krzysztof B. Beć ◽  
Sophia Mayr ◽  
Christian W. Huck
Keyword(s):  
Infrared Spectrum ◽  
Regression Models ◽  
Near Infrared ◽  
Computing Time ◽  
Black Pepper ◽  
Partial Least Square ◽  
Least Square ◽  
Complex Nature ◽  
Chemical Information ◽  
Near Infrared Spectrum

We investigated the near-infrared spectrum of piperine using quantum mechanical calculations. We evaluated two efficient approaches, DVPT2//PM6 and DVPT2//ONIOM [PM6:B3LYP/6-311++G(2df, 2pd)] that yielded a simulated spectrum with varying accuracy versus computing time factor. We performed vibrational assignments and unveiled complex nature of the near-infrared spectrum of piperine, resulting from a high level of band convolution. The most meaningful contribution to the near-infrared absorption of piperine results from binary combination bands. With the available detailed near-infrared assignment of piperine, we interpreted the properties of partial least square regression models constructed in our earlier study to describe the piperine content in black pepper samples. Two models were compared with spectral data sets obtained with a benchtop and a miniaturized spectrometer. The two spectrometers implement distinct technology which leads to a profound instrumental difference and discrepancy in the predictive performance when analyzing piperine content. We concluded that the sensitivity of the two instruments to certain types of piperine vibrations is different and that the benchtop spectrometer unveiled higher selectivity. Such difference in obtaining chemical information from a sample can be one of the reasons why the benchtop spectrometer performs better in analyzing the piperine content of black pepper. This evidenced direct correspondence between the features critical for applied near-infrared spectroscopic routine and the underlying vibrational properties of the analyzed constituent in a complex sample.

Functional Classification of Feed Items in Pampa Grassland, Based on Their Near-Infrared Spectrum

2020 ◽  
Vol 73 (3) ◽  
pp. 358-367
Author(s):  
Júlio Cezar Rebés Azambuja Filho ◽  
Paulo Cesar de Faccio Carvalho ◽  
Olivier Jean François Bonnet ◽  
Denis Bastianelli ◽  
Magali Jouven
Keyword(s):  
Infrared Spectrum ◽  
Near Infrared ◽  
Functional Classification ◽  
Near Infrared Spectrum
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