{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T00:53:32Z","timestamp":1790211212989,"version":"4.1.0"},"reference-count":37,"publisher":"American Society for Microbiology","issue":"3","license":[{"start":{"date-parts":[[2007,2,1]],"date-time":"2007-02-01T00:00:00Z","timestamp":1170288000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["Appl Environ Microbiol"],"published-print":{"date-parts":[[2007,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n          <jats:p>\n            A classification system based on Fourier transform infrared (FTIR) spectroscopy combined with artificial neural network analysis was designed to differentiate 12 serovars of\n            <jats:italic>Listeria monocytogenes<\/jats:italic>\n            using a reference database of 106 well-defined strains. External validation was performed using a test set of another 166\n            <jats:italic>L. monocytogenes<\/jats:italic>\n            strains. The O antigens (serogroup) of 164 strains (98.8%) could be identified correctly, and H antigens were correctly determined in 152 (91.6%) of the test strains. Importantly, 40 out of 41 potentially epidemic serovar 4b strains were unambiguously identified. FTIR analysis is superior to PCR-based systems for serovar differentiation and has potential for the rapid, simultaneous identification of both species and serovar of an unknown\n            <jats:italic>Listeria<\/jats:italic>\n            isolate by simply measuring a whole-cell infrared spectrum.\n          <\/jats:p>","DOI":"10.1128\/aem.02004-06","type":"journal-article","created":{"date-parts":[[2006,12,2]],"date-time":"2006-12-02T01:34:46Z","timestamp":1165023286000},"page":"1036-1040","update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":72,"title":["Differentiation of\n            <i>Listeria monocytogenes<\/i>\n            Serovars by Using Artificial Neural Network Analysis of Fourier-Transformed Infrared Spectra"],"prefix":"10.1128","volume":"73","author":[{"given":"Cecilia A.","family":"Rebuffo-Scheer","sequence":"first","affiliation":[{"name":"Abteilung Mikrobiologie, Zentralinstitut f\u00fcr Ern\u00e4hrungs- und Lebensmittelforschung, Technische Universit\u00e4t M\u00fcnchen, D-85350 Freising, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J\u00fcrgen","family":"Schmitt","sequence":"additional","affiliation":[{"name":"Synthon GmbH, Im Neuenheimer Feld 583, D-69120 Heidelberg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siegfried","family":"Scherer","sequence":"additional","affiliation":[{"name":"Abteilung Mikrobiologie, Zentralinstitut f\u00fcr Ern\u00e4hrungs- und Lebensmittelforschung, Technische Universit\u00e4t M\u00fcnchen, D-85350 Freising, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"235","reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1128\/JCM.41.12.5537-5540.2003"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1574-695X.1997.tb01033.x"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1128\/JCM.42.8.3819-3822.2004"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1128\/IAI.72.2.1072-1083.2004"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.4315\/0362-028X-68.12.2648"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0723-2020(84)80038-7"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1574-6968.1996.tb08342.x"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1128\/IAI.74.5.2505-2512.2006"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-7012(91)90042-O"},{"key":"e_1_3_3_11_2","first-page":"69","volume":"137","year":"1991","unstructured":"Helm, D., H. 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