The efficiencies of several multivariate methods of recognition of drug classes in primary packaging using THz transmission spectra are compared. The advantage of support vector machines is demonstrated with a classification error ≤5.7% for two groups of analgesic drugs with a high level of heterogeneity of samples in the groups.
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Translated from Zhurnal Prikladnoi Spektroskopii, Vol. 88, No. 5, pp. 778–782, September–October, 2021.
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Lyakhnovich, A.V., Sinitsyn, G.V., Khodasevich, M.A. et al. Classification of Analgesic Drugs in Primary Packaging by Applying Multivariate Methods to Terahertz Spectra. J Appl Spectrosc 88, 1008–1011 (2021). https://doi.org/10.1007/s10812-021-01272-7
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DOI: https://doi.org/10.1007/s10812-021-01272-7