{"id":1533,"date":"2010-10-15T14:53:14","date_gmt":"2010-10-15T18:53:14","guid":{"rendered":"http:\/\/sciencebusiness.technewslit.com\/?p=1533"},"modified":"2010-10-15T14:56:11","modified_gmt":"2010-10-15T18:56:11","slug":"advanced-statistical-anaysis-enables-food-bacteria-detection","status":"publish","type":"post","link":"https:\/\/technewslit.com\/sciencebusiness\/?p=1533","title":{"rendered":"Advanced Statistical Analysis Enables Food Bacteria Detection"},"content":{"rendered":"
\"Salmonella<\/a>
Salmonella typhimurium, in red, invading cultured human cells. (Rocky Mountain Laboratories, NIAID, NIH)<\/figcaption><\/figure>\n

Finding bacterial contamination in the food supply when the target contaminants are known is difficult enough, but finding food-borne bacteria that are not identified targets can seem like an overwhelming task. To attack this problem, researchers from Indiana University-Purdue University Indianapolis<\/a> (IUPUI) and Purdue University<\/a> in West Lafayette, Indiana have developed a new approach to automated detection and classification of harmful bacteria in food.<\/p>\n

The investigators designed and implemented a sophisticated statistical approach that allows computers to learn about new pathogens while the testing is underway, rather than dealing with a single set of known contaminants. This more adaptive approach can help address issues like the high mutation rate of bacteria, which multiplies the already high number of known pathogens.<\/p>\n

Detecting pathogens such as listeria, staphylococcus, salmonella, vibrio, and E. coli was based on the optical properties of their colonies. For this job, the researchers used a prototype laser scanner, developed at Purdue University. The light-scattering patterns from the laser helped locate the bacterial colonies, with their identification and classification generated by the machine-learning capabilities of the computer system processing the data. For those capabilities, the team developed a Bayesian statistical approach to learning, starting with a non-exhaustive training dataset, which enabled the automated detection of unknown <\/em><\/em>bacterial sub-species.<\/p>\n

Murat Dundar, assistant professor of computer science at IUPUI and the university’s principal investigator called the findings a “step towards a fully automated identification of known and emerging pathogens in real time, hopefully circumventing full-blown, food-borne illness outbreaks in the near future.” The study appears in the October issue of the journal Statistical Analysis and Data Mining<\/em><\/a> (paid subscription required).<\/p>\n","protected":false},"excerpt":{"rendered":"

Finding bacterial contamination in the food supply when the target contaminants are known is difficult enough, but finding food-borne bacteria that are not identified targets can seem like an overwhelming task. To attack this problem, researchers from Indiana University-Purdue University Indianapolis (IUPUI) and Purdue University in West Lafayette, Indiana have developed a new approach to […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15],"tags":[64,129,26],"class_list":["post-1533","post","type-post","status-publish","format-standard","hentry","category-products","tag-life-sciences","tag-statistics","tag-university"],"_links":{"self":[{"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/posts\/1533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1533"}],"version-history":[{"count":6,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/posts\/1533\/revisions"}],"predecessor-version":[{"id":1540,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=\/wp\/v2\/posts\/1533\/revisions\/1540"}],"wp:attachment":[{"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technewslit.com\/sciencebusiness\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}