{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:24:32Z","timestamp":1760149472973,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T00:00:00Z","timestamp":1692230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shenzhen Science and Technology Program","award":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"],"award-info":[{"award-number":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"]}]},{"name":"National Key R&amp;D Program of China","award":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"],"award-info":[{"award-number":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"],"award-info":[{"award-number":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"],"award-info":[{"award-number":["RCBS20221008093108031","2019YFB1310402","2019YFB1310403","U1813216","U2013202","2019A1515111119","2021A1515010926","2021B1515420005"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Micromachines"],"abstract":"<jats:p>A taste sensor with global selectivity can be used to discriminate taste of foods and provide evaluations. Interfaces that could interact with broad food ingredients are beneficial for data collection. Here, we prepared electrochemically reduced graphene oxide (ERGO)-modified interdigital electrodes. The interfaces of modified electrodes showed good sensitivity towards cooking condiments in mixed multi-ingredients solutions under electrochemical impedance spectroscopy (EIS). A database of EIS of cooking condiments was established. Based on the principal component analysis (PCA), subsets of three taste dimensions were classified, which could distinguish an unknown dish from a standard dish. Further, we demonstrated the effectiveness of the electrodes on a typical dish of scrambled eggs with tomato. Our kind of electronic tongue did not measure the quantitation of each ingredient, instead relying on the database and classification algorithm. This method is facile and offers a universal approach to simultaneously identifying multiple ingredients.<\/jats:p>","DOI":"10.3390\/mi14081624","type":"journal-article","created":{"date-parts":[[2023,8,17]],"date-time":"2023-08-17T10:15:48Z","timestamp":1692267348000},"page":"1624","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Classification-Based Evaluation of Multi-Ingredient Dish Using Graphene-Modified Interdigital Electrodes"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0522-0152","authenticated-orcid":false,"given":"Hongwu","family":"Zhu","sequence":"first","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengkai","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuchun","family":"He","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Ding","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen 518172, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,8,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1038\/nature16961","article-title":"Mastering the game of Go with deep neural networks and tree search","volume":"529","author":"Silver","year":"2016","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1581","DOI":"10.1126\/science.1217637","article-title":"How Smart Is Your City?","volume":"335","year":"2012","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"eaaw3520","DOI":"10.1126\/scirobotics.aaw3520","article-title":"Robot learning\u2014Beyond imitation","volume":"4","author":"Yang","year":"2019","journal-title":"Sci. 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