{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T08:28:25Z","timestamp":1778315305863,"version":"3.51.4"},"reference-count":42,"publisher":"Walter de Gruyter GmbH","issue":"3","license":[{"start":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T00:00:00Z","timestamp":1622764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES), , Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico do Minist\u00e9rio da Ci\u00eancia, Tecnologia e Inova\u00e7\u00e3o (CNPq).","award":["Unassigned"],"award-info":[{"award-number":["Unassigned"]}]},{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES), , Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico do Minist\u00e9rio da Ci\u00eancia, Tecnologia e Inova\u00e7\u00e3o (CNPq).","award":["Unassigned"],"award-info":[{"award-number":["Unassigned"]}]},{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior (CAPES), , Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico do Minist\u00e9rio da Ci\u00eancia, Tecnologia e Inova\u00e7\u00e3o (CNPq).","award":["Unassigned"],"award-info":[{"award-number":["Unassigned"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Some species of cover crops produce phenolic compounds with allelopathic potential. The use of math, statistical and computational tools to analyze data obtained with spectrophotometry can assist in the chemical profile discrimination to choose which species and cultivation are the best for weed management purposes. The aim of this study was to perform exploratory and discriminant analysis using R package specmine on the phenolic profile of <jats:italic>Secale cereale<\/jats:italic> L., <jats:italic>Avena strigosa<\/jats:italic> L. and <jats:italic>Raphanus sativus<\/jats:italic> L. shoots obtained by UV\u2013vis scanning spectrophotometry. Plants were collected at 60, 80 and 100 days after sowing and at 15 and 30 days after rolling in experiment in Brazil. Exploratory and discriminant analysis, namely principal component analysis, hierarchical clustering analysis, <jats:italic>t<\/jats:italic>-test, fold-change, analysis of variance and supervised machine learning analysis were performed. Results showed a stronger tendency to cluster phenolic profiles according to plant species rather than crop management system, period of sampling or plant phenologic stage. PCA analysis showed a strong distinction of <jats:italic>S. cereale<\/jats:italic> L. and <jats:italic>A. strigosa<\/jats:italic> L. 30 days after rolling. Due to the fast analysis and friendly use, the R package specmine can be recommended as a supporting tool to exploratory and discriminatory analysis of multivariate data.<\/jats:p>","DOI":"10.1515\/jib-2019-0056","type":"journal-article","created":{"date-parts":[[2021,6,4]],"date-time":"2021-06-04T00:26:44Z","timestamp":1622766404000},"source":"Crossref","is-referenced-by-count":6,"title":["Exploratory and discriminant analysis of plant phenolic profiles obtained by UV\u2013vis scanning spectroscopy"],"prefix":"10.1515","volume":"18","author":[{"given":"Monique","family":"Souza","sequence":"first","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6176-6208","authenticated-orcid":false,"given":"Jucinei","family":"Jos\u00e9 Comin","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9703-4220","authenticated-orcid":false,"given":"Rodolfo","family":"Moresco","sequence":"additional","affiliation":[{"name":"Escola do Mar, Ci\u00eancia e Tecnologia da Universidade do Vale do Itaja\u00ed, (UNIVALI) , Itaja\u00ed , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4146-4835","authenticated-orcid":false,"given":"Marcelo","family":"Maraschin","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1688-6139","authenticated-orcid":false,"given":"Claudinei","family":"Kurtz","sequence":"additional","affiliation":[{"name":"EPAGRI , Ituporanga , Santa Catarina , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5828-696X","authenticated-orcid":false,"given":"Paulo","family":"Em\u00edlio Lovato","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0347-0003","authenticated-orcid":false,"given":"Cledimar","family":"Rog\u00e9rio Lourenzi","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0103-7975","authenticated-orcid":false,"given":"Fernanda","family":"Kokowicz Pilatti","sequence":"additional","affiliation":[{"name":"Instituto Federal Sul-rio-grandense , Pelotas , RS , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3005-6158","authenticated-orcid":false,"given":"Arc\u00e2ngelo","family":"Loss","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1882-5241","authenticated-orcid":false,"given":"Shirley","family":"Kuhnen","sequence":"additional","affiliation":[{"name":"Universidade Federal de Santa Catarina , Florianopolis , Brazil"}]}],"member":"374","published-online":{"date-parts":[[2021,6,4]]},"reference":[{"key":"2023033120082512040_j_jib-2019-0056_ref_001","unstructured":"Harborne, JB. Phytochemical methods, 3rd ed. London: Chapman & Hall; 1998."},{"key":"2023033120082512040_j_jib-2019-0056_ref_002","doi-asserted-by":"crossref","unstructured":"Moresco, R, Uarrota, V, Pereira, A, Tomazzoli, M, Nunes, EC, Peruch, LAM, et al.. UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (ManihotesculentaCrantz). J Integr Bioinform 2015;12:1\u201312. https:\/\/doi.org\/10.1515\/jib-2015-280.","DOI":"10.1515\/jib-2015-280"},{"key":"2023033120082512040_j_jib-2019-0056_ref_003","unstructured":"Taiz, L, Zeiger, E. Fisiologia vegetal, 4th ed. Porto Alegre (RS): ARTMED; 2009."},{"key":"2023033120082512040_j_jib-2019-0056_ref_004","doi-asserted-by":"crossref","unstructured":"Hagemann, TR, Benin, G, Lemes, C, Marchese, JA, Martin, TN, Pagliosa, ES, et al.. Potencial alelop\u00e1tico de extratos aquosos foliares de aveia sobre azev\u00e9m e amendoim-bravo. Bragantia 2010;69:509\u201318. https:\/\/doi.org\/10.1590\/s0006-87052010000300001.","DOI":"10.1590\/S0006-87052010000300001"},{"key":"2023033120082512040_j_jib-2019-0056_ref_005","doi-asserted-by":"crossref","unstructured":"Inderjit, WDA, Karban, K, Callaway, RM. The ecosystem and evolutionary contexts of allelopathy. Trends Ecol Evol 2011;26:655\u201362. https:\/\/doi.org\/10.1016\/j.tree.2011.08.003.","DOI":"10.1016\/j.tree.2011.08.003"},{"key":"2023033120082512040_j_jib-2019-0056_ref_006","doi-asserted-by":"crossref","unstructured":"Boydston, R, Hang, A. Rapeseed (Brassica napus) green manure crop suppresses weeds in potato (Solatium tuberosum). Weed tech 1995;9:669\u201375. https:\/\/doi.org\/10.1017\/s0890037x00024039.","DOI":"10.1017\/S0890037X00024039"},{"key":"2023033120082512040_j_jib-2019-0056_ref_007","doi-asserted-by":"crossref","unstructured":"Hanhineva, K, Pihlava, J, Mykkanen, H, Poutanen, K. Chapter 8 \u2013 benzoxazinoids in rye and rye-derived products. In: Rye and health. Elsevier; 2014:121\u20139 pp.","DOI":"10.1016\/B978-1-891127-81-6.50008-0"},{"key":"2023033120082512040_j_jib-2019-0056_ref_008","doi-asserted-by":"crossref","unstructured":"Tanwir, F, Dionisio, G, Adhikari, KB, Fomsgaard, IS. Biosynthesis and chemical transformation of benzoxazinoids in rye during seed germination and the identification of a rye Bx6-like gene. Phytochemistry 2017;140:95\u2013107. https:\/\/doi.org\/10.1016\/j.phytochem.2017.04.020.","DOI":"10.1016\/j.phytochem.2017.04.020"},{"key":"2023033120082512040_j_jib-2019-0056_ref_009","doi-asserted-by":"crossref","unstructured":"Heinio, R, Liukkonen, K, Myllyma, O, Pihlava, J, Adlercreutz, H, Heinonen, S, et al.. Quantities of phenolic compounds and their impacts on the perceived flavour attributes of rye grain. Cereal Sci 2008;47:566\u201375. https:\/\/doi.org\/10.1016\/j.jcs.2007.06.018.","DOI":"10.1016\/j.jcs.2007.06.018"},{"key":"2023033120082512040_j_jib-2019-0056_ref_010","doi-asserted-by":"crossref","unstructured":"Mota, RDP, Castro, TLC, Zuppa, TO, Rosa, EV. Quantifica\u00e7\u00e3o Espectrofotom\u00e9trica de Flavon\u00f3ides em Rabanete (Raphanus sativus). Rev Port Quim 2009:112\u201315. https:\/\/doi.org\/10.19142\/rpq.v3i5.93.","DOI":"10.19142\/rpq.v3i5.93"},{"key":"2023033120082512040_j_jib-2019-0056_ref_011","doi-asserted-by":"crossref","unstructured":"Pilatti, F, Costa, C, Rocha, M, Maraschin, M, Viana, AM. UV-visible spectrophotometry-based metabolomic analysis of Cedrela fissilis velozzo (Meliaceae) calluses: a screening tool for culture medium composition and cell metabolic profiles. Adv Intell Syst Comput 2015;375:29\u201336. https:\/\/doi.org\/10.1007\/978-3-319-19776-0_4.","DOI":"10.1007\/978-3-319-19776-0_4"},{"key":"2023033120082512040_j_jib-2019-0056_ref_012","doi-asserted-by":"crossref","unstructured":"Ferreira, MMC, Antunes, AM, Melgo, MS, Volpe, PLO. Chemometrics I: multivariate calibration, a tutorial. Quim Nova 1999;22:724\u201331. https:\/\/doi.org\/10.1590\/s0100-40421999000500016.","DOI":"10.1590\/S0100-40421999000500016"},{"key":"2023033120082512040_j_jib-2019-0056_ref_013","doi-asserted-by":"crossref","unstructured":"Tomazzoli, M, Pai Neto, RD, Moresco, R, Westphal, L, Somensi-Zeggio, A, Specht, L, et al.. Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data. J Integr Bioinform 2015;12:15\u201326. https:\/\/doi.org\/10.1515\/jib-2015-279.","DOI":"10.1515\/jib-2015-279"},{"key":"2023033120082512040_j_jib-2019-0056_ref_014","doi-asserted-by":"crossref","unstructured":"Casale, LB, Giordani, P, Mariotti, MG, Malaspina, P. NIR spectroscopy as a tool for discriminating between lichens exposed to air pollution. Chemosphere 2015;134:355\u201360. https:\/\/doi.org\/10.1016\/j.chemosphere.2015.03.095.","DOI":"10.1016\/j.chemosphere.2015.03.095"},{"key":"2023033120082512040_j_jib-2019-0056_ref_015","doi-asserted-by":"crossref","unstructured":"Maraschin, M, Somensi-Zeggio, A, Oliveira, SK, Kuhnen, S, Tomazzolli, MM, Raguzzoni, JC, et al.. Metabolic profiling and classification of propolis samples from southern Brazil: an NMR-based platform coupled with machine learning. J Nat Prod 2016;79:13\u201323. https:\/\/doi.org\/10.1021\/acs.jnatprod.5b00315.","DOI":"10.1021\/acs.jnatprod.5b00315"},{"key":"2023033120082512040_j_jib-2019-0056_ref_016","doi-asserted-by":"crossref","unstructured":"Sabir, A, Rafi, M, Darusman, LK. Discrimination of red and white rice bran from Indonesia using HPLC fingerprint analysis combined with chemometrics. Food Chem 2017;221:1717\u201322. https:\/\/doi.org\/10.1016\/j.foodchem.2016.10.114.","DOI":"10.1016\/j.foodchem.2016.10.114"},{"key":"2023033120082512040_j_jib-2019-0056_ref_017","doi-asserted-by":"crossref","unstructured":"Afonso, T, Moresco, R, Uarrota, VG, Navarro, BB, Nunes, EC, Maraschin, M, et al.. UV-vis and CIELAB based chemometric characterization of Manihot esculenta Carotenoid contents. J Integr Bioinform 2017;14:1. https:\/\/doi.org\/10.1515\/jib-2017-0056.","DOI":"10.1515\/jib-2017-0056"},{"key":"2023033120082512040_j_jib-2019-0056_ref_018","doi-asserted-by":"crossref","unstructured":"Pilatti, FK, Ramlov, F, Schmidt, EC, Costa, C, Oliveira, EG, Bauer, CM, et al.. Metabolomics of Ulva lactuca Linnaeus (Chlorophyta) exposed to oil fuels: Fourier transform infrared spectroscopy and multivariate analysis as tools for metabolic fingerprint. Mar Pollut Bull 2016;114:831\u20136. https:\/\/doi.org\/10.1016\/j.marpolbul.2016.11.006.","DOI":"10.1016\/j.marpolbul.2016.11.006"},{"key":"2023033120082512040_j_jib-2019-0056_ref_019","doi-asserted-by":"crossref","unstructured":"Kuhnen, S, Ogliari, JB, Dias, PF, Boffo, EF, Correia, I, Ferreira, AG, et al.. ATR-FTIR spectroscopy and chemometric analysis applied to discrimination of landrace maize flours produced in southern Brazil. I. J Food Sci Technol 2010;45:1673\u201381. https:\/\/doi.org\/10.1111\/j.1365-2621.2010.02313.x.","DOI":"10.1111\/j.1365-2621.2010.02313.x"},{"key":"2023033120082512040_j_jib-2019-0056_ref_020","doi-asserted-by":"crossref","unstructured":"Kuhnen, S, Ogliari, JB, Dias, PF, Santos, MS, Ferreira, AG, Bonham, CC, et al.. Metabolic fingerprint of Brazilian maize landraces silk (Stig-ma\/Styles) using NMR spectroscopy and chemometric methods. J Agric Food Chem 2010;58:2194\u2013200. https:\/\/doi.org\/10.1021\/jf9037776.","DOI":"10.1021\/jf9037776"},{"key":"2023033120082512040_j_jib-2019-0056_ref_021","doi-asserted-by":"crossref","unstructured":"Neto, BB, Scarm\u00ednio, IS, Bruns, RE. Anos de quimiometria no Brasil. Quim Nova 2006;29:1401\u20136.","DOI":"10.1590\/S0100-40422006000600042"},{"key":"2023033120082512040_j_jib-2019-0056_ref_022","unstructured":"Soil Survey Staff. Keys to soil taxonomy, 11th ed. Washington DC: USDA-NRCS; 2010."},{"key":"2023033120082512040_j_jib-2019-0056_ref_023","unstructured":"R Development Core Team. R: a language and environment for statistical computing. Vienna: Austria: R Foundation for Statistical Computing; 2010."},{"key":"2023033120082512040_j_jib-2019-0056_ref_024","unstructured":"Costa, C, Maraschin, M, Rocha, M. R package version 1.0: specmine: metabolomics and spectral data analysis and mining; 2015."},{"key":"2023033120082512040_j_jib-2019-0056_ref_025","doi-asserted-by":"crossref","unstructured":"Silva, AA, Nascimento, ESP, Cardoso, DR, Franco, DW. Identifica\u00e7\u00e3o de extratos etan\u00f3licos de madeiras utilizando seu espectro eletr\u00f4nico de absor\u00e7\u00e3o e an\u00e1lise multivariada. Quim Nova 2012;3:556\u201363.","DOI":"10.1590\/S0100-40422012000300023"},{"key":"2023033120082512040_j_jib-2019-0056_ref_026","doi-asserted-by":"crossref","unstructured":"Paganotti, RSN, Rezende, JC, Barbeira, PJS. Discrimination between producing regions of Brazilian propolis by UVVIS spectroscopy and partial least squares discriminant analysis. Curr Anal Chem 2014;10:537\u201344.","DOI":"10.2174\/15734110113099990030"},{"key":"2023033120082512040_j_jib-2019-0056_ref_027","doi-asserted-by":"crossref","unstructured":"Alder, M, Alon, U. Fold-change detection in biological systems. Curr Opin Struct Biol 2018;8:81\u20139.","DOI":"10.1016\/j.coisb.2017.12.005"},{"key":"2023033120082512040_j_jib-2019-0056_ref_028","unstructured":"Klajan, VM, Gutkoski, LM, Fiorentini, AM, Elias, MC. Compostos antioxidantes da aveia. Curr Agri Sci Tech 2012;18:292\u2013303."},{"key":"2023033120082512040_j_jib-2019-0056_ref_029","unstructured":"Rehman, MU, Hussain, M, Aali, M, Mustafa, CB, Shafi, J, Iqbal, F. Allelopathy of Brassicas. A review. Sci. Agric. 2013;3:46\u201353."},{"key":"2023033120082512040_j_jib-2019-0056_ref_030","doi-asserted-by":"crossref","unstructured":"Souza, AM, Breitkreitz, MC, Filgueiras, PR, Rohwedder, JJR, Poppi, RJ. Experimento did\u00e1tico de quimiometria para calibra\u00e7\u00e3o multivariada na determina\u00e7\u00e3o de paracetamol em comprimidos comerciais utilizando espectroscopia no infravermelho pr\u00f3ximo: um tutorial, parte II. Qu\u00edm. Nova 2013;36:1057\u201365. https:\/\/doi.org\/10.1590\/s0100-40422013000700022.","DOI":"10.1590\/S0100-40422013000700022"},{"key":"2023033120082512040_j_jib-2019-0056_ref_031","doi-asserted-by":"crossref","unstructured":"Barros Neto, B, Scarminio, IS, Bruns, RE. 25 anos de quimiometria no Brasil. Qu\u00edm. Nova 2006;29:1401\u20136. https:\/\/doi.org\/10.1590\/s0100-40422006000600042.","DOI":"10.1590\/S0100-40422006000600042"},{"key":"2023033120082512040_j_jib-2019-0056_ref_032","doi-asserted-by":"crossref","unstructured":"Cartea, ME, Francisco, M, Soengas, P, Velasco, P. Phenolic compounds in Brassica vegetables. Molecules 2011;6:251\u201380. https:\/\/doi.org\/10.3390\/molecules16010251.","DOI":"10.3390\/molecules16010251"},{"key":"2023033120082512040_j_jib-2019-0056_ref_033","doi-asserted-by":"crossref","unstructured":"Blazevic, I, Mastelic, J. Glucosinolate degradation products and other bound and free volatiles in the leaves and roots of radish (Raphanus sativus L.). Food Chem 2009;113:96\u2013102.","DOI":"10.1016\/j.foodchem.2008.07.029"},{"key":"2023033120082512040_j_jib-2019-0056_ref_034","doi-asserted-by":"crossref","unstructured":"Weidner, S, Aamarowicz, Karam\u00e1c, M, Fraczek, E. Changes in endogenous phenolic acids during development of Secale cereale caryopses and after dehydration treatment of unripe rye grains. Plant Physiol Biochem 2000;38:595\u2013602. https:\/\/doi.org\/10.1016\/s0981-9428(00)00774-9.","DOI":"10.1016\/S0981-9428(00)00774-9"},{"key":"2023033120082512040_j_jib-2019-0056_ref_035","doi-asserted-by":"crossref","unstructured":"Andreasen, MF, Christensen, LP, Meyer, AS, Han-sen, A. Content of phenolic acids and ferulic acid dehydrodimers in 17 rye (Secale cereale L.) varieties. J Agric Food Chem 2000;48:2837\u201342. https:\/\/doi.org\/10.1021\/jf991266w.","DOI":"10.1021\/jf991266w"},{"key":"2023033120082512040_j_jib-2019-0056_ref_036","doi-asserted-by":"crossref","unstructured":"Souza, M, Comin, JJ, Kurtz, C, Lovato, PE, Lima, AP, Kuhnen, S. Phenolic compounds with allelopathic potential of Secale cereale and Raphanus sativus grown under an agroecological no-tillage systems. Planta Daninha 2019;37:1\u201312. https:\/\/doi.org\/10.1590\/s0100-83582019370100090.","DOI":"10.1590\/s0100-83582019370100090"},{"key":"2023033120082512040_j_jib-2019-0056_ref_037","doi-asserted-by":"crossref","unstructured":"Macias, FA, Molinillo, JMG, Varela, RM, Galindo, JCG. Allelopathy \u2013 a natural alternative for weed control. Pest Manag Sci 2007;63:327\u201348. https:\/\/doi.org\/10.1002\/ps.1342.","DOI":"10.1002\/ps.1342"},{"key":"2023033120082512040_j_jib-2019-0056_ref_038","doi-asserted-by":"crossref","unstructured":"Martins, RP, Comin, JJ, Gatiboni, LC, Soares, CRF, Brunetto, G. Nitrogen mineralization of cover plant litter, intercropped or not, in a soil with a history of onion plantation. Rev Ceres 2014;61:587\u201396. https:\/\/doi.org\/10.1590\/0034-737x201461040020.","DOI":"10.1590\/0034-737X201461040020"},{"key":"2023033120082512040_j_jib-2019-0056_ref_039","doi-asserted-by":"crossref","unstructured":"Oliveira, RA, Brunetto, G, Loss, A, Gatiboni, LC, Kurtz, C, Muller, VM, et al.. Cover crops effects on soil chemical properties and onion yield. Rev Bras Cienc Solo 2016;40:1. https:\/\/doi.org\/10.1590\/18069657rbcs20150099.","DOI":"10.1590\/18069657rbcs20150099"},{"key":"2023033120082512040_j_jib-2019-0056_ref_040","doi-asserted-by":"crossref","unstructured":"Crusciol, CA, Cottica, RL, Vale Lima, E, Andreotti, M, Moro, E, Marcon, E. Persist\u00eancia de palhada e libera\u00e7\u00e3o de nutrientes do nabo-forrageiro no plantio direto. Pesqui Agropecu\u00e1ria Bras 2005;40:161\u20138. https:\/\/doi.org\/10.1590\/s0100-204x2005000200009.","DOI":"10.1590\/S0100-204X2005000200009"},{"key":"2023033120082512040_j_jib-2019-0056_ref_041","doi-asserted-by":"crossref","unstructured":"Souza, M, Muller, VJ, Kurtz, C, Brunetto, G, Comin, JJ. Weed Emergence in a soil with cover crops in an agroecological no-tillage system. Planta Daninha 2018;36:1\u20139. https:\/\/doi.org\/10.1590\/s0100-8358201836010065.","DOI":"10.1590\/s0100-8358201836010065"},{"key":"2023033120082512040_j_jib-2019-0056_ref_042","doi-asserted-by":"crossref","unstructured":"Worley, B, Powers, R. Multivariate analysis in metabolomics. Curr Metabolomics 2013;1:92\u2013107. https:\/\/doi.org\/10.2174\/2213235X11301010092.","DOI":"10.2174\/2213235X11301010092"}],"container-title":["Journal of Integrative Bioinformatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0056\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0056\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T08:27:00Z","timestamp":1680337620000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/jib-2019-0056\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,4]]},"references-count":42,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,6,8]]},"published-print":{"date-parts":[[2021,10,29]]}},"alternative-id":["10.1515\/jib-2019-0056"],"URL":"https:\/\/doi.org\/10.1515\/jib-2019-0056","relation":{},"ISSN":["1613-4516"],"issn-type":[{"value":"1613-4516","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,4]]},"article-number":"20190056"}}