Determination of Calcium Content in Powdered Milk Using Near and Mid-Infrared Spectroscopy with Variable Selection and Chemometrics

2011 ◽  
Vol 5 (4) ◽  
pp. 1402-1410 ◽  
Author(s):  
Di Wu ◽  
Pengcheng Nie ◽  
Yong He ◽  
Yidan Bao
Keyword(s):  
Infrared Spectroscopy ◽  
Variable Selection ◽  
Calcium Content ◽  
Powdered Milk ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

2021 ◽  
Vol 164 ◽  
pp. 106029
Author(s):  
Diego Maciel Gerônimo ◽  
Sheila Catarina de Oliveira ◽  
Frederico Luis Felipe Soares ◽  
Patricio Peralta-Zamora ◽  
Noemi Nagata
Keyword(s):  
Infrared Spectroscopy ◽  
Raw Material ◽  
Material Source ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

scholarly journals Data for the Determination of Total Carbon in Biosolids using MID-Infrared Spectroscopy

Data in Brief ◽  
2020 ◽  
Vol 30 ◽  
pp. 105615
Author(s):  
N. Albuquerque ◽  
B. Meehan ◽  
J. Hughes ◽  
A. Surapaneni
Keyword(s):  
Infrared Spectroscopy ◽  
Total Carbon ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

A combination of near infrared and mid-infrared spectroscopy to improve the determination efficiency of active components in Radix Astragali

2019 ◽  
Vol 28 (1) ◽  
pp. 10-17
Author(s):  
Xuesong Liu ◽  
Siyu Zhang ◽  
Leting Si ◽  
Zhonglin Lin ◽  
Chunyan Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Determination ◽  
Radix Astragali ◽  
Astragaloside Iv ◽  
Active Components ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Analysis Models

Radix Astragali is a popular herbal medicine in the pharmaceutical industry, and many studies have confirmed its significant medical value. The objective of this study was to achieve rapid determination of the main active components (astragaloside IV and total astragalosides) in Radix Astragali using near infrared spectroscopy, mid-infrared spectroscopy, and a combination of them. Partial least squares regression was applied to establish quantitative calibration analysis models. According to the prediction results, the combined near infrared and mid-infrared spectroscopy performed better than near infrared and mid-infrared models individually. The determination coefficient and root mean square error of prediction of astragaloside IV and total astragalosides were 0.998, 0.025 and 0.998, 0.098, respectively. It can be concluded that quantitative analysis models constructed by combined near infrared and mid-infrared spectroscopy had superior performance and could be used for rapid determination of main active components in Radix Astragali.

Determination of the concentration of total phenolic compounds in aged cachaça using two-dimensional fluorescence and mid-infrared spectroscopy

2020 ◽  
Vol 329 ◽  
pp. 127142 ◽  
Author(s):  
Débora Gonçalves Carvalho ◽  
Lucas Ranzan ◽  
Luciane Ferreira Trierweiler ◽  
Jorge Otávio Trierweiler
Keyword(s):  
Infrared Spectroscopy ◽  
Phenolic Compounds ◽  
Total Phenolic ◽  
Two Dimensional ◽  
Total Phenolic Compounds ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy

Meat Science ◽  
2005 ◽  
Vol 69 (3) ◽  
pp. 433-440 ◽  
Author(s):  
Audun Flåtten ◽  
Eli A. Bryhni ◽  
Achim Kohler ◽  
Bjørg Egelandsdal ◽  
Tomas Isaksson
Keyword(s):  
Fatty Acids ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Pork Fat

scholarly journals Mid-Infrared Spectroscopy (MIR) for Simultaneous Determination of Fat and Protein Content in Meat of Several Animal Species

2017 ◽  
Vol 10 (10) ◽  
pp. 3462-3470 ◽  
Author(s):  
M. Lozano ◽  
P. Rodríguez-Ulibarri ◽  
J. C. Echeverría ◽  
M. Beruete ◽  
M. Sorolla ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Protein Content ◽  
Simultaneous Determination ◽  
Animal Species ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy

Determination of the Composition in Sugars and Organic Acids in Peach Using Mid Infrared Spectroscopy: Comparison of Prediction Results According to Data Sets and Different Reference Methods

2013 ◽  
Vol 85 (23) ◽  
pp. 11312-11318 ◽  
Author(s):  
Sylvie Bureau ◽  
Bénédicte Quilot-Turion ◽  
Véronique Signoret ◽  
Christel Renaud ◽  
Mickael Maucourt ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Organic Acids ◽  
Data Sets ◽  
Mid Infrared ◽  
Mid Infrared Spectroscopy ◽  
Reference Methods
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