{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T08:41:02Z","timestamp":1785400862865,"version":"3.56.0"},"reference-count":28,"publisher":"Optica Publishing Group","issue":"15","license":[{"start":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:00:00Z","timestamp":1769126400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1364\/OA_License_v2#VOR"},{"start":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T00:00:00Z","timestamp":1769126400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/opg.optica.org\/policies\/opg-tdm-policy.json"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52435011"],"award-info":[{"award-number":["52435011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Talent Recruitment and Research Funding Program of Taiyuan Institute of Technology","award":["2025KJ031"],"award-info":[{"award-number":["2025KJ031"]}]}],"content-domain":{"domain":["opg.optica.org"],"crossmark-restriction":false},"short-container-title":["Appl. Opt."],"published-print":{"date-parts":[[2026,5,20]]},"abstract":"<jats:p>\n                    The whispering gallery mode (WGM) microbottle resonators, with their natural liquid delivery channel structure and high-quality factor (Q), provide a crucial technical platform for precise microfluidic measurement. To further enhance the detection sensitivity, this research constructs a highly sensitive ethanol and acetone sensor by modifying the inner wall of a hollow microbottle resonator (HMR) with MgCo\n                    <jats:sub>2<\/jats:sub>\n                    O\n                    <jats:sub>4<\/jats:sub>\n                    nanomaterials. The results show that the sensitivity of the modified sensor is 0.0792\u00a0nm\/% to ethanol solution, which is 2.1 times that of acetone. This indicates that the sensor has higher selectivity for ethanol. In addition, to further utilize the full-spectrum information, a multilayer perceptron (MLP) deep learning algorithm is introduced for intelligent analysis. The results indicate that the test accuracy for ethanol and acetone is 99.85% and 99.79%, respectively. With its high sensitivity and testing accuracy, this research provides support for the development of intelligent optical microcavity sensing.\n                  <\/jats:p>","DOI":"10.1364\/ao.584168","type":"journal-article","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T17:00:10Z","timestamp":1767373210000},"page":"G17","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["High-performance microcavity sensing combining MgCo\n                    <sub>2<\/sub>\n                    O\n                    <sub>4<\/sub>\n                    modification with\u00a0machine learning"],"prefix":"10.1364","volume":"65","author":[{"given":"Wang","family":"Xiaohui","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/02d0fkx94","id-type":"ROR","asserted-by":"publisher"}]},{"name":"North University of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Huiyu","sequence":"additional","affiliation":[{"name":"North University of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wang","family":"Canjin","sequence":"additional","affiliation":[{"name":"Xinhua Zhiyun Technology Co., Ltd."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Xiaoming","sequence":"additional","affiliation":[{"name":"China Coal Technology and Engineering Group Taiyuan Research Institute Co., Ltd."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liu","family":"Wenyao","sequence":"additional","affiliation":[{"name":"North University of China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tang","family":"Jun","sequence":"additional","affiliation":[{"name":"North University of China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,1,23]]},"reference":[{"key":"ao-65-15-G17-R1","doi-asserted-by":"publisher","first-page":"20701","DOI":"10.1073\/pnas.0808988106","type":"journal-article","volume":"105","author":"Vollmer","year":"2008","journal-title":"Proc. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}