{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T17:09:02Z","timestamp":1785431342802,"version":"3.56.0"},"reference-count":20,"publisher":"Optica Publishing Group","issue":"17","license":[{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1364\/OA_License_v2#VOR"},{"start":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T00:00:00Z","timestamp":1724803200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/opg.optica.org\/policies\/opg-tdm-policy.json"}],"content-domain":{"domain":["opg.optica.org"],"crossmark-restriction":false},"short-container-title":["Opt. Lett."],"published-print":{"date-parts":[[2024,9,1]]},"abstract":"<jats:p>\n                    We propose an optical fiber microlens (OFM) passive tactile sensor (OFMPTS) for hardness recognition. The sensor features a core\u2013shell structure, with an OFM as the core and an elastic mechanoluminescence (ML) matrix shell, which is composed of ZnS: Cu@Al\n                    <jats:sub>2<\/jats:sub>\n                    O\n                    <jats:sub>3<\/jats:sub>\n                    doped with 10\u2005nm SiO\n                    <jats:sub>2<\/jats:sub>\n                    particles and polydimethylsiloxane (PDMS). Utilizing the Hertz model, the ML intensity of the sensor is correlated to the elastic modulus of the sample, which enables precise hardness detection. The microlens fiber structure significantly enhances photon collection efficiency, thereby allowing for effective coupling of the ML signal. In press mode, OFMPTS differentiates between five PDMS hardness levels. It can also operate in scan or tap mode, identifying hidden foreign bodies and tissue masses through response curve analysis. The sensor, which requires no external light source, expands the capabilities of optical hardness measurement.\n                  <\/jats:p>","DOI":"10.1364\/ol.537534","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T09:00:21Z","timestamp":1724144421000},"page":"4991","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Mechanoluminescence of ZnS: Cu@Al\n                    <sub>2<\/sub>\n                    O\n                    <sub>3<\/sub>\n                    enabled optical fiber microlens passive tactile sensor for hardness recognition"],"prefix":"10.1364","volume":"49","author":[{"given":"Penghui","family":"Dai","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhicheng","family":"Cong","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunhong","family":"Jiang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunlei","family":"Jiang","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengyi","family":"Chen","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Sun","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taiji","family":"Dong","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/03net5943","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"ol-49-17-4991-R1","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1109\/TMECH.2012.2195324","volume":"18","author":"Araghi","year":"2013","journal-title":"IEEE\/ASME Trans. 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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"}]}}