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In this work, metabolic analyses of six bacterial strains were performed in light of three different bacterial cell disintegration methods. Three strains were gram-negative (<jats:italic>Pseudomonas aeruginosa<\/jats:italic>,\u00a0<jats:italic>Escherichia coli,<\/jats:italic>\u00a0and\u00a0<jats:italic>Klebsiella pneumoniae<\/jats:italic>), and three were gram-positive (<jats:italic>Corynebacterium glutamicum<\/jats:italic>,\u00a0<jats:italic>Bacillus cereus,\u00a0<\/jats:italic>and\u00a0<jats:italic>Enterococcus faecalis<\/jats:italic>). For extraction, the methanol\u2013water extraction method (1:1) was chosen. To compare the efficiency of different cell disintegration methods, sonication, sand mill, and tissue lyser were used. For bacterial extract metabolite analysis, <jats:sup>1<\/jats:sup>H NMR together with univariate and multivariate analyses were applied. The obtained results showed that metabolite concentrations are strongly dependent on the cell lysing methodology used and are different for various bacterial strains. The results clearly show that one of the disruption methods gives the highest concentration for most identified compounds (e. g. sand mill for\u00a0<jats:italic>E. faecalis<\/jats:italic>\u00a0and tissue lyser for\u00a0<jats:italic>B. cereus).<\/jats:italic>\u00a0This study indicated that the comparison of samples prepared by different procedures can lead to false or imprecise results, leaving an imprint of the disintegration method. Furthermore, the presented results showed that NMR might be a useful bacterial strain identification and differentiation method. In addition to disintegration method comparison, the metabolic profiles of each elaborated strain were analyzed, and each exhibited its metabolic profile. Some metabolites were identified by the <jats:sup>1<\/jats:sup>H NMR method in only one strain. The results of multivariate data analyses (PCA) show that regardless of the disintegration method used, the strain group can be identified. Presented results can be significant for all types of microbial studies containing the metabolomic targeted and non-targeted analysis.<\/jats:p>","DOI":"10.1038\/s41598-021-99873-x","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T10:04:42Z","timestamp":1634810682000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Comparison of bacteria disintegration methods and their influence on data analysis in metabolomics"],"prefix":"10.1038","volume":"11","author":[{"given":"Karolina Anna","family":"Mielko","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S\u0142awomir Jan","family":"Jab\u0142o\u0144ski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcin","family":"\u0141ukaszewicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Piotr","family":"M\u0142ynarz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"issue":"11","key":"99873_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11274-019-2739-1","volume":"35","author":"KA Mielko","year":"2019","unstructured":"Mielko, K. 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