{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T02:44:07Z","timestamp":1769481847902,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T00:00:00Z","timestamp":1623196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"USDA National Institute of Food and Agriculture","award":["2017\u201367007-26150"],"award-info":[{"award-number":["2017\u201367007-26150"]}]},{"name":"Fundamental Research Funds for the Central Universities","award":["No.2019CDYGZD006"],"award-info":[{"award-number":["No.2019CDYGZD006"]}]},{"name":"Postgraduate education and teaching reform research project of Chongqing University","award":["No. cquyjg18323"],"award-info":[{"award-number":["No. cquyjg18323"]}]},{"name":"Venture &amp; Innovation Support Program for Chongqing Overseas Returnees and Fundamental Research Funds for the Central Universities","award":["No. 10611CDJXZ238826"],"award-info":[{"award-number":["No. 10611CDJXZ238826"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A sensitive and efficient method for microRNAs (miRNAs) detection is strongly desired by clinicians and, in recent years, the search for such a method has drawn much attention. There has been significant interest in using miRNA as biomarkers for multiple diseases and conditions in clinical diagnostics. Presently, most miRNA detection methods suffer from drawbacks, e.g., low sensitivity, long assay time, expensive equipment, trained personnel, or unsuitability for point-of-care. New methodologies are needed to overcome these limitations to allow rapid, sensitive, low-cost, easy-to-use, and portable methods for miRNA detection at the point of care. In this work, to overcome these shortcomings, we integrated capacitive sensing and alternating current electrokinetic effects to detect specific miRNA-16b molecules, as a model, with the limit of detection reaching 1.0 femto molar (fM) levels. The specificity of the sensor was verified by testing miRNA-25, which has the same length as miRNA-16b. The sensor we developed demonstrated significant improvements in sensitivity, response time and cost over other miRNA detection methods, and has application potential at point-of-care.<\/jats:p>","DOI":"10.3390\/s21123985","type":"journal-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T14:16:04Z","timestamp":1623248164000},"page":"3985","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Rapid and Sensitive Detection of miRNA Based on AC Electrokinetic Capacitive Sensing for Point-of-Care Applications"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6235-6104","authenticated-orcid":false,"given":"Nan","family":"Wan","sequence":"first","affiliation":[{"name":"Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400044, China"},{"name":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA"},{"name":"University of Michigan-Shanghai Jiao Tong University Joint Institute, Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6410-0623","authenticated-orcid":false,"given":"Jiamei","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA"}]},{"given":"Rania","family":"Oueslati","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA"}]},{"given":"Shigetoshi","family":"Eda","sequence":"additional","affiliation":[{"name":"Department of Forestry, Wildlife and Fisheries, The University of Tennessee Institute of Agriculture, Knoxville, TN 37996, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5143-9425","authenticated-orcid":false,"given":"Jayne","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA"}]},{"given":"Xiaogang","family":"Lin","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing 400044, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Condrat, C., Thompson, D., Barbu, M., Bugnar, O., Boboc, A., Cretoiu, D., Suciu, N., Cretoiu, S., and Voinea, S. 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