{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T16:25:38Z","timestamp":1784132738659,"version":"3.55.0"},"reference-count":38,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012243","name":"Foundation for Distinguished Young Talents in Higher Education of Guangdong","doi-asserted-by":"publisher","award":["2017GKQNCX094"],"award-info":[{"award-number":["2017GKQNCX094"]}],"id":[{"id":"10.13039\/501100012243","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012243","name":"Foundation for Distinguished Young Talents in Higher Education of Guangdong","doi-asserted-by":"publisher","award":["2017GKQNCX096"],"award-info":[{"award-number":["2017GKQNCX096"]}],"id":[{"id":"10.13039\/501100012243","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Food Science &amp; Nutrition"],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In view of the food safety and hygiene issues caused by pathogenic microorganisms, tetrabutyl titanate was used as a precursor for the preparation of a TiO<jats:sub>2<\/jats:sub> nano\u2010semiconductor photocatalyst via the sol\u2013gel process. The plate count method was then adopted to investigate the photocatalytic sterilization performance of the synthesized TiO<jats:sub>2<\/jats:sub> nanoparticles toward <jats:italic>Escherichia coli<\/jats:italic>, <jats:italic>Staphylococcus aureus<\/jats:italic>, and <jats:italic>Candida albicans<\/jats:italic>. Subsequently, a backpropagation (BP) neural network model was developed to predict the photocatalytic sterilization performance. The photocatalyst was structurally characterized by the Brunauer\u2013Emmett\u2013Teller method for specific surface area determination, transmission electron microscopy, X\u2010ray diffraction, and X\u2010ray photoelectron spectroscopy. The results indicated that the prepared TiO<jats:sub>2<\/jats:sub> nano\u2010photocatalyst was of high purity with a specific surface area of 76.5\u00a0m<jats:sup>2<\/jats:sup>\/g and the particle size range 15\u201318\u00a0nm. The nanoparticles exhibited characteristic peaks corresponding to the oxide component Ti\u2013O, hydroxyl group \u02d9OH and oxygen chemisorbed and presented an anatase\u2010dominated multiphase structure that enhanced the photocatalytic performance. UV irradiation at 254\u00a0nm produced better sterilization effects on <jats:italic>E.\u00a0coli<\/jats:italic>, <jats:italic>S.\u00a0aureus<\/jats:italic>, and <jats:italic>C.\u00a0albicans<\/jats:italic>, with elimination rates after 30\u00a0min of reaction of 97.8%, 99.4%, and 93.6%, respectively. These results indicated that the TiO<jats:sub>2<\/jats:sub> nano\u2010photocatalyst is a promising environmentally friendly catalyst with good sterilization performance. The constructed BP neural network also exhibited high training accuracy and good generalization ability, with correlation coefficients between the network\u2010predicted and experimental target values of 0.9789. These results support research on the intelligent processing of photocatalytic sterilization with TiO<jats:sub>2<\/jats:sub> nanoparticles.<\/jats:p>","DOI":"10.1002\/fsn3.1646","type":"journal-article","created":{"date-parts":[[2020,6,2]],"date-time":"2020-06-02T01:39:00Z","timestamp":1591061940000},"page":"3638-3646","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Structural characterization and catalytic sterilization performance of a TiO<sub>2<\/sub> nano\u2010photocatalyst"],"prefix":"10.1002","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3314-8477","authenticated-orcid":false,"given":"Yue","family":"Yang","sequence":"first","affiliation":[{"name":"Yangjiang Polytechnic Yangjiang China"},{"name":"Guangdong Provincial Key Laboratory of Atmospheric environment and Pollution Control South China University of Technology Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengli","family":"Guan","sequence":"additional","affiliation":[{"name":"Yangjiang Polytechnic Yangjiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanyuan","family":"Chen","sequence":"additional","affiliation":[{"name":"Yangjiang Polytechnic Yangjiang China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,6]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1574-6968.2002.tb11222.x"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1246\/bcsj.64.1268"},{"issue":"1","key":"e_1_2_8_4_1","first-page":"198","article-title":"Effect of boron and fluorine Co\u2010doping on the band gap structure of TiO2 and its visible light photocatalytic performance","volume":"29","author":"Cao G. 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