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Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets (Small 42/2024)
Urinalysis In article number 2403385, Hossam Haick and co‐workers have introduced a triboelectric nanosensor array featuring 3D graphene with functional polymers for real‐time urine analysis and energy generation from urine droplets in smart toilets. These sensors exhibit exceptional sensitivity and...
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Published in: | Small (Weinheim an der Bergstrasse, Germany) Germany), 2024-10, Vol.20 (42), p.n/a |
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container_issue | 42 |
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container_title | Small (Weinheim an der Bergstrasse, Germany) |
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creator | Mondal, Indrajit Mansour, Elias Zheng, Youbin Gupta, Ritu Haick, Hossam |
description | Urinalysis
In article number 2403385, Hossam Haick and co‐workers have introduced a triboelectric nanosensor array featuring 3D graphene with functional polymers for real‐time urine analysis and energy generation from urine droplets in smart toilets. These sensors exhibit exceptional sensitivity and selectivity in detecting urinary biomarkers, including ions, glucose, and urea with high precision, supported by artificial intelligence. |
doi_str_mv | 10.1002/smll.202470311 |
format | article |
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In article number 2403385, Hossam Haick and co‐workers have introduced a triboelectric nanosensor array featuring 3D graphene with functional polymers for real‐time urine analysis and energy generation from urine droplets in smart toilets. These sensors exhibit exceptional sensitivity and selectivity in detecting urinary biomarkers, including ions, glucose, and urea with high precision, supported by artificial intelligence.</description><subject>machine learning</subject><subject>self‐powered</subject><subject>sensor</subject><subject>smart toilet</subject><subject>triboelectric nanogenerator</subject><subject>urine</subject><issn>1613-6810</issn><issn>1613-6829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkMFKAzEQhoMoWKtXzznqYdsku003x1K0CquCu56XJDuRaJqVZEV68xF8Rp_ElEo9epoZ-P7h50PonJIJJYRN49q5CSOsmJOc0gM0opzmGS-ZONzvlByjkxhfSEISOEKvNTjz_flVv8dBWm_9M26CVT040EOwGt9L30fwsQ8Rmz7gR5Au8Y1dA34K1gNeeOk20UZsPa7XMgy46a2DIeKLdDqHCzbd1ro8RUdGughnv3OMmuurZnmTVQ-r2-WiynQpaCZBq1Lzbp4rQ5VWHLpZwTumjTS6MJwIoxhRpOC5UWqmiWZGCKH5vITOCJmP0WT3Voc-xgCmfQs29dq0lLRbU-3WVLs3lQJiF_hItTf_0G19V1V_2R8U-HEt</recordid><startdate>20241017</startdate><enddate>20241017</enddate><creator>Mondal, Indrajit</creator><creator>Mansour, Elias</creator><creator>Zheng, Youbin</creator><creator>Gupta, Ritu</creator><creator>Haick, Hossam</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20241017</creationdate><title>Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets (Small 42/2024)</title><author>Mondal, Indrajit ; Mansour, Elias ; Zheng, Youbin ; Gupta, Ritu ; Haick, Hossam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c891-aecb8c6d73bf1bcb6ed546d2cfafc4f609fb20b0463fbb5c0c2f999c678edf9a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>machine learning</topic><topic>self‐powered</topic><topic>sensor</topic><topic>smart toilet</topic><topic>triboelectric nanogenerator</topic><topic>urine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mondal, Indrajit</creatorcontrib><creatorcontrib>Mansour, Elias</creatorcontrib><creatorcontrib>Zheng, Youbin</creatorcontrib><creatorcontrib>Gupta, Ritu</creatorcontrib><creatorcontrib>Haick, Hossam</creatorcontrib><collection>CrossRef</collection><jtitle>Small (Weinheim an der Bergstrasse, Germany)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mondal, Indrajit</au><au>Mansour, Elias</au><au>Zheng, Youbin</au><au>Gupta, Ritu</au><au>Haick, Hossam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets (Small 42/2024)</atitle><jtitle>Small (Weinheim an der Bergstrasse, Germany)</jtitle><date>2024-10-17</date><risdate>2024</risdate><volume>20</volume><issue>42</issue><epage>n/a</epage><issn>1613-6810</issn><eissn>1613-6829</eissn><abstract>Urinalysis
In article number 2403385, Hossam Haick and co‐workers have introduced a triboelectric nanosensor array featuring 3D graphene with functional polymers for real‐time urine analysis and energy generation from urine droplets in smart toilets. These sensors exhibit exceptional sensitivity and selectivity in detecting urinary biomarkers, including ions, glucose, and urea with high precision, supported by artificial intelligence.</abstract><doi>10.1002/smll.202470311</doi><tpages>1</tpages></addata></record> |
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subjects | machine learning self‐powered sensor smart toilet triboelectric nanogenerator urine |
title | Self‐Sustaining Triboelectric Nanosensors for Real‐Time Urine Analysis in Smart Toilets (Small 42/2024) |
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