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They are mainly based on the analysis of photographs (computer vision). However, spectroscopic techniques can be a good alternative due to the valuable additional information that they provide. We tested the performance of several chemometric techniques (principal component analysis (PCA), non-negative matrix factorisation (NMF), and common dimensions and specific weights analysis (CCSWA of ComDim)) for the unsupervised classification of zooplankton species based on their spectra. The spectra were obtained using laser-induced breakdown spectroscopy (LIBS) and Raman spectroscopy. It was convenient to assess the discriminative power in terms of silhouette metrics (Sil). The LIBS data were substantially more useful for the task than the Raman spectra, although the best results were achieved for the combined LIBS + Raman dataset (best Sil = 0.67). Although NMF (Sil = 0.63) and ComDim (Sil = 0.39) gave interesting information in the loadings, PCA was generally enough for the discrimination based on the score graphs. The distinguishing between Calanoida and Euphausiacea crustaceans and Limacina helicina sea snails has proved possible, probably because of their different mineral compositions. Conversely, arrow worms (Parasagitta elegans) usually fell into the same class with Calanoida despite the differences in their Raman spectra.<\/jats:p>","DOI":"10.3390\/s22218234","type":"journal-article","created":{"date-parts":[[2022,10,27]],"date-time":"2022-10-27T22:36:17Z","timestamp":1666910177000},"page":"8234","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Towards Automated Classification of Zooplankton Using Combination of Laser Spectral Techniques and Advanced Chemometrics"],"prefix":"10.3390","volume":"22","author":[{"given":"Nikolai I.","family":"Sushkov","sequence":"first","affiliation":[{"name":"Department of Chemistry, Lomonosov Moscow State University, 119234 Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1799-5329","authenticated-orcid":false,"given":"G\u00e1bor","family":"Galb\u00e1cs","sequence":"additional","affiliation":[{"name":"Department of Inorganic and Analytical Chemistry, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrick","family":"Janovszky","sequence":"additional","affiliation":[{"name":"Department of Inorganic and Analytical Chemistry, Faculty of Science and Informatics, University of Szeged, 6720 Szeged, Hungary"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2517-4061","authenticated-orcid":false,"given":"Nikolay V.","family":"Lobus","sequence":"additional","affiliation":[{"name":"Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, 127276 Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0168-6561","authenticated-orcid":false,"given":"Timur A.","family":"Labutin","sequence":"additional","affiliation":[{"name":"Department of Chemistry, Lomonosov Moscow State University, 119234 Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2210","DOI":"10.1021\/ac00264a003","article-title":"Principles of Environmental Analysis","volume":"55","author":"Keith","year":"1983","journal-title":"Anal. 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