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An Variable Selection Method of the Significance Multivariate Correlation Competitive Population Analysis for Near-Infrared Spectroscopy in Chemical Modeling
2019
IEEE Access
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This paper presents a new method for variable selection called the significant multivariate competitive population analysis (SMCPA), Which combines ideas of significant multivariate correlation (SMC) and ...
INDEX TERMS Spectrochemical analysis, variable selection, the significant multivariate correlation, weighted bootstrap sampling, model population analysis, monte Carlo sampling, analytical techniques, ...
Modern near infrared spectroscopy analysis involves the rapid acquisition of a The associate editor coordinating the review of this manuscript and approving it for publication was Stavros Souravlas . large ...
doi:10.1109/access.2019.2954115
fatcat:5lequvfjkrgjnovwastll3trra
Rapid Measurement of Cellulose, Hemicellulose, and Lignin Content in Sargassum horneri by Near-Infrared Spectroscopy and Characteristic Variables Selection Methods
2022
Molecules
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Near-infrared (NIR) spectroscopy and characteristic variables selection methods were used to develop a quick method for the determination of cellulose, hemicellulose, and lignin contents in Sargassum horneri ...
The iPLS method was best in the performance of the models. ...
Conflicts of Interest: The authors declare no conflict of interest. Sample Availability: Samples of the compounds are available from the authors. Molecules 2022, 27, 335 ...
doi:10.3390/molecules27020335
pmid:35056650
pmcid:PMC8780011
fatcat:4pdwwbejpbhmjfqbodnfnqfhdi
An NIRS-based assay of chemical composition and biomass digestibility for rapid selection of Jerusalem artichoke clones
2018
Biotechnology for Biofuels
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This method provides a new insight into the selection of ideal bioethanol feedstock for high-efficiency bioethanol production. ...
Subsequently, grey relational grade analysis was employed to correlate chemical composition and biomass digestibility with feedstock quality score (FQS), resulting in the assignment of tested JA clones ...
Acknowledgements The authors would like to acknowledge Zhongdou Gao for JA accessions sampling, and Mingxing Xue, Lei Chen, and Yan Li for chemical composition and biomass digestibility determination. ...
doi:10.1186/s13068-018-1335-1
pmid:30574187
pmcid:PMC6299672
fatcat:32crvgj2vfadzo4usv2yrs5zgy
Spectral Pre-Processing and Multivariate Calibration Methods for the Prediction of Wood Density in Chinese White Poplar by Visible and Near Infrared Spectroscopy
2022
Forests
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Appropriate chemometric methods play an important role in the successful prediction of wood density by visible and near infrared (Vis-NIR) spectroscopy. ...
The objective of this study was to select appropriate pre-processing, variable selection and multivariate calibration techniques to improve the prediction accuracy of density in Chinese white poplar (Populus ...
Overview of Optimization of the Wood Density Model An appropriate chemometric method is essential for near infrared spectral data analysis. ...
doi:10.3390/f13010062
fatcat:2udoytij6zadvgvhxhd25hvxy4
High-throughput analysis of chemical components and theoretical ethanol yield of dedicated bioenergy sorghum using dual-optimized partial least squares calibration models
2017
Biotechnology for Biofuels
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Recent advances in molecular spectroscopy analysis have led to methodologies for dual-optimized NIRS using sample subset partitioning and variable selection, which could significantly enhance the robustness ...
Here, a non-destructive and rapid analytical technology, near-infrared spectroscopy (NIRS) coupled with multivariate calibration, shows promise for addressing these challenges. ...
Acknowledgements The authors would like to acknowledge Wei Zhang, Chuandong Sun, Xu Chen ...
doi:10.1186/s13068-017-0892-z
pmid:28878821
pmcid:PMC5584014
fatcat:5gpjqx63qzevvmjppdhxiklp6i
Advances in two-dimensional correlation spectroscopy
2004
Vibrational Spectroscopy
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A method for the selection of variables in multivariate data sets based on twodimensional spectroscopy is presented. ...
Vibrational spectroscopy (mid-infrared, near-infrared and Raman) is an important tool for the compositional analysis and the characterization of physical phenomena of chemical systems. ...
THE APPLICATION OF 2-D FTIR SPECTROSCOPY TO THE INVESTIGATION OF DEGRADATIVE PROCESSES IN EPOXY-BASED NETWORKS
ABSTRACT Two dimensional infrared (2D IR) correlation spectroscopy has been applied to the ...
doi:10.1016/j.vibspec.2003.12.016
fatcat:4c6vn33nuzekpmpy7jdl3n47sa
QCM Sensor Arrays, Electroanalytical Techniques and NIR Spectroscopy Coupled to Multivariate Analysis for Quality Assessment of Food Products, Raw Materials, Ingredients and Foodborne Pathogen Detection: Challenges and Breakthroughs
2020
Sensors
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Other significant challenges include analytical method development, method validation strategies, and the non-availability of reference materials and/or standards for emerging food contaminants. ...
In addition, chemometric approaches and multivariate analyses of spectral data for NIR instrumental calibration and sample analyses for quality assessments and assurances of selected food products and ...
One of the most common methods is near infrared (NIR) spectroscopy. ...
doi:10.3390/s20236982
pmid:33297345
pmcid:PMC7730680
fatcat:yiuzjmvl7rdatnfwdfq7aacakm
A Review of Machine Learning for Near-Infrared Spectroscopy
2022
Sensors
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The analysis of infrared spectroscopy of substances is a non-invasive measurement technique that can be used in analytics. ...
Although the main objective of this study is to provide a review of machine learning (ML) algorithms that have been reported for analyzing near-infrared (NIR) spectroscopy from traditional machine learning ...
Variable Combination Population Analysis (VCPA) VCPA consists of three steps: (1) binary matrix sampling (BMS); (2) model population analysis (MPA); and (3) feature selection. ...
doi:10.3390/s22249764
pmid:36560133
pmcid:PMC9784128
fatcat:dyufzyqzkjhk3hxd4nprypch6a
A Review of Advanced Methods for the Quantitative Analysis of Single Component Oil in Edible Oil Blends
2022
Foods
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In view of their economical and nutritional benefits, quantitative analysis of the component oils in edible oil blends is necessary to ensure the rights and interests of consumers and maintain fairness ...
Chemometrics combined with modern analytical instruments has become a main analytical technology for the quantitative analysis of edible oil blends. ...
Near-Infrared Spectroscopy Near-infrared (NIR) spectroscopy is a rapid, non-destructive and sensitive technology operating in the wavenumber range of 12,500-4000 cm −1 . ...
doi:10.3390/foods11162436
pmid:36010436
pmcid:PMC9407567
fatcat:bl42z4jaynhqhk5saonmx5jzbi
Infrared Spectroscopy and Chemometric Applications for the Qualitative and Quantitative Investigation of Grapevine Organs
2021
Frontiers in Plant Science
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This review examines near infrared and mid infrared spectroscopy for the qualitative and quantitative investigation of intact grapevine organs. ...
Few studies have investigated the use of infrared spectroscopy for the direct measurement of intact, fresh, and unfrozen grapevine organs such as berries or leaves, and these studies are examined in depth ...
ACKNOWLEDGMENTS The authors gratefully acknowledge the Oppenheimer Memorial Trust. A local scholarship (OMT Award Ref. 21579/01) was awarded to EW. ...
doi:10.3389/fpls.2021.723247
pmid:34539716
pmcid:PMC8448193
fatcat:cosbvcolabdrbfxt5dxwkye3ty
Application of Near-infrared Spectroscopy for Assessing Meat Quality and Safety
[chapter]
2015
Infrared Spectroscopy - Anharmonicity of Biomolecules, Crosslinking of Biopolymers, Food Quality and Medical Applications
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Acknowledgements The authors wish to thank the Special Fund for Agro-scientific Research in the Public Interest (Project No. 201003008), China, for providing funding support for the research related this ...
Author details Yankun Peng * and Wenxiu Wang *Address all correspondence to: ypeng@cau.edu.cn China Agricultural University, College of Engineering, Beijing, China ...
For chemical methods, the long-time standard for protein analysis is the Kjeldahl method and the method of choice for fat analyses is a solvent-based method for measuring the total fat content in meat. ...
doi:10.5772/58912
fatcat:j7ff4ilk2jbcjarw6x3feixduu
Chemical Variation in a Dominant Tree Species: Population Divergence, Selection and Genetic Stability across Environments
2013
PLoS ONE
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Importantly, there was no genetic by environment interaction in the expression of any of the quantitative chemical traits despite often significant site effects. ...
The strength and consistency of selection driving variability in traits would be affected by plasticity in differences among genotypes across environments (G6E). ...
Acknowledgments We would like to thank Jonathan Humphreys for assistance with the NIRS analysis, and Hugh Fitzgerald and Paul Tilyard for assistance with field work. ...
doi:10.1371/journal.pone.0058416
pmid:23526981
pmcid:PMC3603948
fatcat:mhrmv3hxlnhajmd5dz5kxdug24
Analytical Biology: An Emerging Discipline for the Future
2024
Spectroscopy (Springfield, Or.)
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It's time to develop the field of analytical biology—an emerging discipline that blends various research fields to provide a holistic view of biological phenomena. ...
The field of analytical chemistry is well established. ...
Acknowledgments This study was suppor ted by the Special Support Program for High-L evel Pe r s o n n el Re c r ui t m e nt of Shihezi Universit y (Grant No. ...
doi:10.56530/spectroscopy.ui9669c4
fatcat:gij2k7i5cfe7rgbdv4hk2mmjxe
Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications
2003
Journal of the Brazilian Chemical Society
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This paper intends to review the basic theory of Near Infrared (NIR) Spectroscopy and its applications in the field of Analytical Science. ...
Because this paper has been produced as consequence of the First Workshop on Near Infrared Spectroscopy, whose venue was Campinas -Brazil, as a pre-conference activity of the XI National Meeting on Analytical ...
Acknowledgements The author is grateful to Dr. Carol H. Collins for manuscript revision and FINEP/CTPETRO/ANP for financial supporting. ...
doi:10.1590/s0103-50532003000200006
fatcat:sg7a3fc5kjc7zdr6cozcenalle
A bootstrapping soft shrinkage approach and interval random variables selection hybrid model for variable selection in near-infrared spectroscopy
2020
IEEE Access
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Third, significant multivariate competitive population analysis (SMCPA) that combines the ideas of substantial multivariate correlation (SMC) and MPA, and employs WBS is an improved version of bootstrap ...
Figure 1 . 1 The process of multivariate analysis for near infrared spectroscopy
Figure 3 . 3 Boxplot of 20 times for investigating the effect of number of populations on moisture corn dataset (a) RMSEC ...
doi:10.1109/access.2020.3023681
fatcat:6tm6wzc6rrdaviostiq3rqeyfq
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