{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T02:40:21Z","timestamp":1773283221273,"version":"3.50.1"},"reference-count":30,"publisher":"American Society for Microbiology","issue":"11","license":[{"start":{"date-parts":[[2010,6,1]],"date-time":"2010-06-01T00:00:00Z","timestamp":1275350400000},"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":[[2010,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n          <jats:p>\n            Fourier transform infrared (FT-IR) spectroscopy and chemometric techniques were used to discriminate five closely related\n            <jats:italic>Salmonella enterica<\/jats:italic>\n            serotype Enteritidis phage types, phage type 1 (PT1), PT1b, PT4b, PT6, and PT6a. Intact cells and outer membrane protein (OMP) extracts from bacterial cell membranes were subjected to FT-IR analysis in transmittance mode. Spectra were collected over a wavenumber range from 4,000 to 600 cm\n            <jats:sup>\u22121<\/jats:sup>\n            . Partial least-squares discriminant analysis (PLS-DA) was used to develop calibration models based on preprocessed FT-IR spectra. The analysis based on OMP extracts provided greater separation between the\n            <jats:italic>Salmonella<\/jats:italic>\n            Enteritidis PT1-PT1b, PT4b, and PT6-PT6a groups than the intact cell analysis. When these three phage type groups were considered, the method based on OMP extract FT-IR spectra was 100% accurate. Moreover, complementary local models that considered only the PT1-PT1b and PT6-PT6a groups were developed, and the level of discrimination increased. PT1 and PT1b isolates were differentiated successfully with the local model using the entire OMP extract spectrum (98.3% correct predictions), whereas the accuracy of discrimination between PT6 and PT6a isolates was 86.0%. Isolates belonging to different phage types (PT19, PT20, and PT21) were used with the model to test its robustness. For the first time it was demonstrated that FT-IR analysis of OMP extracts can be used for construction of robust models that allow fast and accurate discrimination of different\n            <jats:italic>Salmonella<\/jats:italic>\n            Enteritidis phage types.\n          <\/jats:p>","DOI":"10.1128\/aem.01589-09","type":"journal-article","created":{"date-parts":[[2010,4,3]],"date-time":"2010-04-03T00:46:25Z","timestamp":1270255585000},"page":"3538-3544","update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":57,"title":["Application of Fourier Transform Infrared Spectroscopy and Chemometrics for Differentiation of\n            <i>Salmonella enterica<\/i>\n            Serovar Enteritidis Phage Types"],"prefix":"10.1128","volume":"76","author":[{"given":"Ornella","family":"Preisner","sequence":"first","affiliation":[{"name":"IBB\u2014Institute for Biotechnology and Bioengineering, Centre for Biological and Chemical Engineering, Instituto Superior T\u00e9cnico, Av. Rovisco Pais, 1049-001 Lisbon, Portugal"}]},{"given":"Raquel","family":"Guiomar","sequence":"additional","affiliation":[{"name":"Enterobacteriaceae Unit, Bacteriology Center, National Health Institute Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal"}]},{"given":"Jorge","family":"Machado","sequence":"additional","affiliation":[{"name":"Enterobacteriaceae Unit, Bacteriology Center, National Health Institute Ricardo Jorge, Avenida Padre Cruz, 1649-016 Lisbon, Portugal"}]},{"given":"Jos\u00e9 Cardoso","family":"Menezes","sequence":"additional","affiliation":[{"name":"IBB\u2014Institute for Biotechnology and Bioengineering, Centre for Biological and Chemical Engineering, Instituto Superior T\u00e9cnico, Av. Rovisco Pais, 1049-001 Lisbon, Portugal"}]},{"given":"Jo\u00e3o Almeida","family":"Lopes","sequence":"additional","affiliation":[{"name":"REQUIMTE, Servi\u00e7o de Qu\u00edmica-F\u00edsica, Faculdade de Farm\u00e1cia, Universidade do Porto, Rua Anibal Cunha 164, 4099-030 Porto, Portugal"}]}],"member":"235","reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1366\/000370206777670521"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mimet.2006.06.012"},{"key":"e_1_3_2_4_2","unstructured":"Chemometrics: data analysis for the laboratory and chemical plant 2003"},{"key":"e_1_3_2_5_2","first-page":"163","year":"2001","unstructured":"D'Aoust, J.-Y. 2001. Salmonella, p. 163-191. In R. G. Labbe, and S. Garcia (ed.), Guide to foodborne pathogens. Wiley-Interscience, New York, NY.","journal-title":"Guide to foodborne pathogens"},{"key":"e_1_3_2_6_2","first-page":"3032.","volume":"11","year":"2006","unstructured":"Fisher, I. S., S. 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