NDLI: Principal Component Selection for Neural Network Classification of Active Ingredients from Near Infrared Spectra

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Principal Component Selection for Neural Network Classification of Active Ingredients from Near Infrared Spectra

Content Provider	Springer Nature Link
Author	Yee, Nigel
Copyright Year	2016
Abstract	This paper presents results from an investigation into the capability of reflectance Near-Infrared (NIR) spectroscopy in the classification of pharmaceutical tablets based on their active ingredients. The part of the process selected for this study is the packaging step in the manufacture of pharmaceuticals because in older processing lines the product was classified after tablet coating and before blister packaging using visual automatic inspection techniques. However, for 100% conformance, a more discriminating technique is required. In this investigation, NIR spectra (with wavelengths between 400nm and 1100nm) were obtained for samples relating to 3 different types of pharmaceuticals: Quetiapine, Ibuprofen and Paracetamol. The dimensionality of the dataset was reduced using Principal Components and then different combinations of Principal Components were fed into a Neural Network that was configured to classify the tablets based on their active ingredients. The recognition rates achieved in this study were high enough to suggest that NIR spectroscopy is a viable method of ensuring 100% identification of pharmaceutical tablet type prior to packaging for the pharmaceuticals tested.
Starting Page	91
Ending Page	103
Page Count	13
File Format	PDF
Journal	The Review of Socionetwork Strategies
Volume Number	10
Issue Number	2
e-ISSN	18673236
Language	English
Publisher	Springer Japan
Publisher Date	2016-12-09
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Near infrared Active ingredients Neural network Principal components IT in Business Simulation and Modeling Information Systems Applications (incl.Internet)
Content Type	Text
Resource Type	Article

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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
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