{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T00:40:58Z","timestamp":1789346458126,"version":"build-2803163510"},"reference-count":57,"publisher":"American Chemical Society (ACS)","issue":"29","license":[{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T00:00:00Z","timestamp":1783987200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-045"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"crossref","award":["52570004"],"award-info":[{"award-number":["52570004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"crossref","award":["U24A20187"],"award-info":[{"award-number":["U24A20187"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,7,28]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>The pervasive contamination of groundwater by highly toxic oxyanions necessitates advanced sensing technologies capable of high-throughput screening. To overcome the intrinsic single-analyte limitation of conventional ion-selective electrodes (ISEs), we developed a biomimetic sensor array inspired by the cross-reactive principles of biological taste systems, which was constructed by self-assembling quaternary ammonium salts (QACs) with tailored alkyl chain lengths (Cn) within MXene interlayers (MXene\/QAC-Cn). When integrated with a machine learning model, the array successfully enabled the simultaneous identification of four kinds of oxyanions (CrO42\u2013, SeO42\u2013, BrO3\u2013, and ClO4\u2013) with a discrimination accuracy of 97.1%. The sensor demonstrated exceptional sensitivity, achieving a detection limit of 1.2 \u00d7 10\u20139 M, and a 32-fold enhancement in analytical throughput compared to single-analyte approaches. Theoretical calculations revealed that the confined microenvironment of the MXene\/QAC-Cn composite promotes partial dehydration of the oxyanions, reducing the adsorption energy by 1.09 eV. This mechanism is pivotal for generating high-quality and differentiable response fingerprints, which in turn ensures the high accuracy of the machine learning model. The programmable design of this platform underscores its potential for extension to a broader spectrum of oxyanions, offering a versatile and scalable solution for comprehensive water quality monitoring.<\/jats:p>","DOI":"10.1021\/acs.analchem.6c02131","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T01:59:13Z","timestamp":1784080753000},"page":"21514-21524","source":"Crossref","is-referenced-by-count":1,"title":["Machine Learning-Driven\nBiomimetic MXene-Based Sensor\nArray for Ultraefficient Multiplexed Oxyanions Detection"],"prefix":"10.1021","volume":"98","author":[{"given":"Jiaxin","family":"Xiao","sequence":"first","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoci","family":"Lu","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Yuan","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangtao","family":"Wu","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shumin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8326-5834","authenticated-orcid":true,"given":"Lingjun","family":"Bu","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2941-1343","authenticated-orcid":true,"given":"Shiqing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hunan University , , ,","place":["Changsha, China, 410082"]},{"name":"Hunan University , , ,","place":["Guangzhou, P. 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