{"id":16183,"date":"2025-05-02T10:53:49","date_gmt":"2025-05-02T01:53:49","guid":{"rendered":"https:\/\/www.emukk.com\/WP\/?p=16183"},"modified":"2025-05-02T12:47:30","modified_gmt":"2025-05-02T03:47:30","slug":"identification-of-bacterial-species-by-applying-a-machine-learning-method-to-lps-glycan-profiles-obtained-by-using-several-lectins","status":"publish","type":"post","link":"https:\/\/www.emukk.com\/WP\/en\/identification-of-bacterial-species-by-applying-a-machine-learning-method-to-lps-glycan-profiles-obtained-by-using-several-lectins\/","title":{"rendered":"Identification of bacterial species by applying a machine learning method to LPS glycan profiles obtained by using several lectins"},"content":{"rendered":"<p>A group from Department of Chemistry, Pavillon Alexandre-Vachon, 1045, avenue de la M\u00e9decine, Universit\u00e9 Laval, Quebec, Canada has reported Lipopolysaccharide (LPS) detection and its bacteria identification with using a panel of several lectins and by applying a machine learning method on it.<br \/>\n<a href=\"https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC12019741\/\">https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC12019741\/<\/a><\/p>\n<p>The sensing and classification of LPS, which are pivotal constituents of Gram-negative bacteria, are fundamentally important in fields such as healthcare, environmental monitoring, and food safety.<\/p>\n<p>This study presents a new approach utilizing a panel of lectins (from 2 to 7 kinds) immobilized on surface plasmon resonance (SPR) sensors. Each glycan binding profile, which is unique to the bacteria, was used to identify the species of bacteria combining with a machine learning method with high accuracy. Used machine learning methods were Random Forest (RF), k-Nearest Neighbors (kNN), and Support Vector Machine (SVM).<\/p>\n<p>It seems that this kind of detection method using multi-probes combined with a machine learning method is a recent trend in sensing applications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A group from Department of Chemistry, Pavillon Alexandre-Vachon, 1045, avenue de la M\u00e9decine, Universit\u00e9 Laval<\/p><\/div>\n<div class=\"blog-btn\"><a href=\"https:\/\/www.emukk.com\/WP\/en\/identification-of-bacterial-species-by-applying-a-machine-learning-method-to-lps-glycan-profiles-obtained-by-using-several-lectins\/\" class=\"home-blog-btn\">\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-16183","post","type-post","status-publish","format-standard","hentry","category-technology-en"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/posts\/16183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/comments?post=16183"}],"version-history":[{"count":4,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/posts\/16183\/revisions"}],"predecessor-version":[{"id":16187,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/posts\/16183\/revisions\/16187"}],"wp:attachment":[{"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/media?parent=16183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/categories?post=16183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.emukk.com\/WP\/wp-json\/wp\/v2\/tags?post=16183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}