Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets
(2003) In Chemometrics and Intelligent Laboratory Systems 69(1-2). p.3-12- Abstract
- Near infrared (NIR) transmission spectroscopy is a promising method for fast quantitative measurements on pharmaceutical tablets, but there are still some problems to overcome in order to incorporate the technique as a control tool in tablet production. The main problem is the limited precision for multivariate calibrations based on NIR transmission data. The precision is affected by several factors, where one of the most important is which variable to include in the multivariate calibration model. In this work, four different methods for variable selection in partial least square (PLS) regression were studied and compared to a calibration made with manually selected wavelengths. The methods used were genetic algorithm (GA), iterative PLS... (More)
- Near infrared (NIR) transmission spectroscopy is a promising method for fast quantitative measurements on pharmaceutical tablets, but there are still some problems to overcome in order to incorporate the technique as a control tool in tablet production. The main problem is the limited precision for multivariate calibrations based on NIR transmission data. The precision is affected by several factors, where one of the most important is which variable to include in the multivariate calibration model. In this work, four different methods for variable selection in partial least square (PLS) regression were studied and compared to a calibration made with manually selected wavelengths. The methods used were genetic algorithm (GA), iterative PLS (IPLS), uninformative variable elimination by PLS (UVE-PLS) and interactive variable selection for PLS (IVS-PLS). All methods improved the predictive abilities of the model compared to the model where the wavelengths were selected manually. For the data set used in this work, IVS-PLS and GA achieved the best results with improvements in prediction error by 20%, but further measurements and investigations have to be made before any general conclusion can be drawn. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/295451
- author
- Abrahamsson, Christoffer LU ; Johansson, J ; Sparen, A and Lindgren, F
- organization
- publishing date
- 2003
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- intact tablets, pharmaceuticals, precision, near-infrared spectroscopy, transmission, variable selection
- in
- Chemometrics and Intelligent Laboratory Systems
- volume
- 69
- issue
- 1-2
- pages
- 3 - 12
- publisher
- Elsevier
- external identifiers
-
- wos:000186533000001
- scopus:0142184413
- ISSN
- 0169-7439
- DOI
- 10.1016/S0169-7439(03)00064-9
- language
- English
- LU publication?
- yes
- id
- 969fa385-820d-4d3c-8877-1f5fa25cf4d4 (old id 295451)
- date added to LUP
- 2016-04-01 15:18:20
- date last changed
- 2022-04-06 22:24:55
@article{969fa385-820d-4d3c-8877-1f5fa25cf4d4, abstract = {{Near infrared (NIR) transmission spectroscopy is a promising method for fast quantitative measurements on pharmaceutical tablets, but there are still some problems to overcome in order to incorporate the technique as a control tool in tablet production. The main problem is the limited precision for multivariate calibrations based on NIR transmission data. The precision is affected by several factors, where one of the most important is which variable to include in the multivariate calibration model. In this work, four different methods for variable selection in partial least square (PLS) regression were studied and compared to a calibration made with manually selected wavelengths. The methods used were genetic algorithm (GA), iterative PLS (IPLS), uninformative variable elimination by PLS (UVE-PLS) and interactive variable selection for PLS (IVS-PLS). All methods improved the predictive abilities of the model compared to the model where the wavelengths were selected manually. For the data set used in this work, IVS-PLS and GA achieved the best results with improvements in prediction error by 20%, but further measurements and investigations have to be made before any general conclusion can be drawn.}}, author = {{Abrahamsson, Christoffer and Johansson, J and Sparen, A and Lindgren, F}}, issn = {{0169-7439}}, keywords = {{intact tablets; pharmaceuticals; precision; near-infrared spectroscopy; transmission; variable selection}}, language = {{eng}}, number = {{1-2}}, pages = {{3--12}}, publisher = {{Elsevier}}, series = {{Chemometrics and Intelligent Laboratory Systems}}, title = {{Comparison of different variable selection methods conducted on NIR transmission measurements on intact tablets}}, url = {{https://lup.lub.lu.se/search/files/4363303/2368822.pdf}}, doi = {{10.1016/S0169-7439(03)00064-9}}, volume = {{69}}, year = {{2003}}, }