NDLI: Continuous Wavelet Transform Based Partial Least Squares Regression for Quantitative Analysis of Raman Spectrum

Content Provider	IEEE Xplore Digital Library
Author	Shuo Li Nyagilo, J.O. Dave, D.P. Gao, J.X.
Copyright Year	2002
Abstract	Quantitative analysis of Raman spectra using surface-enhanced Raman scattering (SERS) nanoparticles has shown the potential and promising trend of development in in vivo molecular imaging. Partial least square regression (PLSR) methods have been reported as state-of-the-art methods. However, the approaches fully rely on the intensities of Raman spectra and can not avoid the influences of the unstable background. In this paper we design a new continuous wavelet transform based PLSR (CWT-PLSR) algorithm that uses mixing concentrations and the average CWT coefficients of Raman spectra to carry out PLSR. We elaborate and prove how the average CWT coefficients with a Mexican hat mother wavelet are robust representations of Raman peaks, and the method can reduce the influences of unstable baseline and random noises during the prediction process. The algorithm was tested using three Raman spectra data sets with three cross-validation methods in comparison with current leading methods, and the results show its robustness and effectiveness.
Sponsorship	IEEE Engineering in Medicine and Biology Society IEEE Systems, Man, and Cybernetics Society IEEE Nanotechnology Council IEEE Computational Intelligence Society IEEE Robotics and Automation Society IEEE Computer Society
Page Count	8
File Size	1856263
Starting Page	214
Ending Page	221
File Format	PDF
ISSN	15361241
Volume Number	12
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Continuous wavelet transforms Testing Raman scattering Noise Calibration Noise measurement Statistical analysis Raman spectrum CWT PLSR Quantitative Analysis
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Medicine Bioengineering Electrical and Electronic Engineering Biomedical Engineering Computer Science Applications Biotechnology Pharmaceutical Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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