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Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra
Abstract
Baselines are often chosen by visual inspection of their effect on selected spectra. A more objective procedure for choosing baseline correction algorithms and their parameter values for use in statistical analysis is presented. When the goal of the baseline correction is spectra with a pleasing appearance, visual inspection can be a satisfactory approach. If the spectra are to be used in a statistical analysis, objectivity and reproducibility are essential for good prediction. Variations in baselines from dataset to dataset means we have no guarantee that the best-performing algorithm from one analysis will be the best when applied to a new dataset. This paper focuses on choosing baseline correction algorithms and optimizing their parameter values based on the performance of the quality measure from the given analysis. Results presented in this paper illustrate the potential benefits of the optimization and points out some of the possible pitfalls of baseline correction.
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The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Cited by
Norris, J. L., & Caprioli, R. M. (2013) · Chemical Reviews · doi:10.1021/cr3004295 · Cited by 696
Schymanski, D., Oßmann, B. E., Benismail, N., Boukerma, K., Dallmann, G., von der Esch, E., Fischer, D., Fischer, F., Gilliland, D., Glas, K., et al. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03498-y · Cited by 280
A probiotic modulates the microbiome and immunity in multiple sclerosis
Tankou, S. K., Regev, K., Healy, B. C., Tjon, E., Laghi, L., Cox, L. M., Kivisäkk, P., Pierre, I. V., Hrishikesh, L., Gandhi, R., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25244 · Cited by 264
Ding, J., Lin, Q., Zhang, J., Young, G. M., Jiang, C., Zhong, Y., & Zhang, J. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03332-5 · Cited by 61
Zhang, S., Zhang, H., Forrest, M. P., Zhou, Y., Sun, X., Bagchi, V. A., Kozlova, A., Santos, M. D., Piguel, N. H., Dionisio, L. E., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100399 · Cited by 26
Metadata
- Authors
- Liland, K. H., Almøy, T., & Mevik, B.-H.
- Venue
- Applied Spectroscopy
- Publisher
- SAGE Publications
- Published
- 2010-09
- Volume
- 64
- Issue
- 9
- Pages
- 1007-1016
- ISSN
- 0003-7028 (ISSN-L)
- 1943-3530
- OpenAlex
- W1966538260
- Cited by
- 317
- References
- 1
- FWCI
- 5.25
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liland, K. H., Almøy, T., & Mevik, B.-H. (2010). Optimal Choice of Baseline Correction for Multivariate Calibration of Spectra. Applied Spectroscopy. https://doi.org/10.1366/000370210792434350
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