2026-10-11T04:11:29Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33970797 2026-09-23T05:06:42Z category_146 category_7 category_8 category_12 category_21 category_873 category_46 category_931 category_64 category_132 category_135 portal_63 item_type_2 month_year_09_2026

Remote Coacervate Robots with Visualized Bacteria Sensing and Removal in Indwelling Catheters for Infection Prevention Changshun Hou (8072975) Yichao Chen (1328970) Xingguang Duan (10584104) Space Science Medicine Microbiology Cell Biology Biotechnology Chemical Sciences not elsewhere classified Immunology Information Systems not elsewhere classified Cancer Infectious Diseases Computational Biology selective fluorescence response remote coacervate robots infection prevention catheter different motion modes demonstrate high controllability controlled coacervate robots challenging disease due confined catheters filled clinical urine samples quick onsite diagnosis 7 </ sup 2 </ sup visualized bacteria sensing viscous urine urinary catheters negative bacteria indwelling catheters human urine colonized bacteria negative bacteriuria inner wall blind tests accurate prescribing Catheter-associated urinary tract infections (CAUTIs) have been a common but challenging disease due to difficulties in the accurate prescribing of antibiotics, while existing clinical diagnostic methods are deficient in their quickness, simplicity, and convenience. Here we report a point-of-care sensing technique using untethered coacervate robots, which demonstrate high controllability and adaptation in confined catheters filled with viscous urine. Under different motion modes, the controlled coacervate robots can achieve a quick, visualized, and selective fluorescence response to Gram-negative bacteria from 10² CFU/mL to 10⁷ CFU/mL in human urine as well as remove the colonized bacteria in the inner wall of catheters within 5 min. Blind tests on clinical urine samples with various bacterial infections reveal that the coacervate robots achieve 90% sensitivity and 100% specificity in identifying Gram-negative bacteriuria. The visualized sensing technique opens up a pathway for quick onsite diagnosis, which helps prevent infections associated with urinary catheters. 2026-09-23T00:00:00Z Dataset Media 10.1021/acs.nanolett.6c04324.s001 https://figshare.com/articles/media/Remote_Coacervate_Robots_with_Visualized_Bacteria_Sensing_and_Removal_in_Indwelling_Catheters_for_Infection_Prevention/33970797 CC BY-NC 4.0