{"id":242292,"date":"2026-07-11T07:36:00","date_gmt":"2026-07-11T11:36:00","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/11\/machine-learning-framework-enables-low-cost-water-toxin-detection\/"},"modified":"2026-07-11T07:55:08","modified_gmt":"2026-07-11T11:55:08","slug":"machine-learning-framework-enables-low-cost-water-toxin-detection","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/07\/11\/machine-learning-framework-enables-low-cost-water-toxin-detection\/","title":{"rendered":"Machine learning framework enables low-cost water toxin detection"},"content":{"rendered":"<p><a href=\"https:\/\/www.news-medical.net\/news\/20260711\/Machine-learning-framework-enables-low-cost-water-toxin-detection.aspx\">Machine learning framework enables low-cost water toxin detection<\/a><\/p>\n<p><a href=\"https:\/\/www.news-medical.net\/news\/20260711\/Machine-learning-framework-enables-low-cost-water-toxin-detection.aspx\">https:\/\/www.news-medical.net\/news\/20260711\/Machine-learning-framework-enables-low-cost-water-toxin-detection.aspx<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-07-11 07:36:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.news-medical.net\">www.news-medical.net<\/a><\/p>\n<ul>\n<li>\n<p>Portable screen-printed carbon electrode (SPCE) biosensors are a rapid and low-cost method for detecting the toxic microcystin-lysine-arginine (MC-LR) produced by cyanobacteria during harmful algal blooms in freshwater.<\/p>\n<\/li>\n<li>\n<p>SPCE sensors work by measuring electrochemical changes corresponding to MC-LR concentration; however, they can be inaccurate due to interference from varying water quality parameters like pH and turbidity.<\/p>\n<\/li>\n<li>\n<p>Researchers from Hanbat National University and the University of Central Florida developed a machine learning framework to improve the accuracy of SPCE sensors for MC-LR detection, without requiring repeated recalibration for various water samples.<\/p>\n<\/li>\n<li>\n<p>The machine learning model, specifically Extreme Gradient Boosting (XGBoost), excelled in predicting MC-LR concentrations across diverse water conditions with high accuracy.<\/p>\n<\/li>\n<li>\n<p>The model, trained with 201 measurements from 27 field sites, identifies critical water quality parameters influencing the prediction, with the biosensor&#8217;s electrical impedance being the strongest predictor.<\/p>\n<\/li>\n<li>\n<p>This framework is significant as it reduces the need for sample-specific calibration, cutting down on time, labor, and sensor consumption, thereby lowering costs and improving analytical efficiency.<\/p>\n<\/li>\n<li>\n<p>This advancement in biosensor technology and machine learning offers a practical and effective approach for on-site detection of MC-LR in various environmental waters, especially important as harmful algal blooms increase due to climate change.<\/p>\n<\/li>\n<li>\n<p>The collaborative work led by Professors Jungsu Park and Woo Hyoung Lee, published in Volume 298 of the journal Water Research, represents a step forward in environmental monitoring and public health protection against water-borne toxins.<\/p>\n<\/li>\n<\/ul>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine learning framework enables low-cost water toxin detection https:\/\/www.news-medical.net\/news\/20260711\/Machine-learning-framework-enables-low-cost-water-toxin-detection.aspx Publish Date: 2026-07-11 07:36:00 Source Domain:&#8230;<\/p>\n","protected":false},"author":1,"featured_media":242293,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/www.news-medical.net\/image-handler\/picture\/2019\/5\/futuristic_techno_design_on_background_of_supercomputer_data_center_-_Image_-_Timofeev_Vladimir_M1_402c068791b640469e416c4f55d84afe-620x480.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[],"class_list":["post-242292","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"_links":{"self":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/242292"}],"collection":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=242292"}],"version-history":[{"count":1,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/242292\/revisions"}],"predecessor-version":[{"id":242294,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/242292\/revisions\/242294"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/242293"}],"wp:attachment":[{"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=242292"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=242292"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/testing.news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=242292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}