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In this work, a facile and rapid sEV isolation and detection method (LAPT-sEViso) was developed, which is based on the specific aggregation of GPC-1-positive PC-derived sEV and an aptamer-functionalized DNA long chain produced by rolling circle amplification (RCA-APT). The LAPT-sEViso can efficiently isolate sEV from cell culture medium and serum, showing 45 times higher yield (5.5 \u00d7 106 particles mL\u20131), 1.1 times higher purity (1.66 \u00d7 1010 particles mg\u20131) and 4.9 times higher recovery (80.9%) comparing to the traditional ultracentrifugation method, with only $1000 common instruments and $2.88 reagents\/materials in 1 h. Moreover, after simple filtration and on-membrane ELISA, sEV concentration can be instrument-free detected with a limit of detection of 5.62 \u00d7 103 particles \u03bcL\u20131 (linear range from 5.0 \u00d7 103 to 5.0 \u00d7 107 \u03bcL\u20131). The LAPT-sEViso provides an efficient and practical approach for the rapid isolation and detection of sEV, providing a novel approach for the sEV-based liquid biopsy.<\/jats:p>","DOI":"10.1021\/acs.analchem.6c01929","type":"journal-article","created":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T04:59:32Z","timestamp":1783918772000},"page":"21475-21485","source":"Crossref","is-referenced-by-count":0,"title":["Highly Efficient\nIsolation and Rapid Detection of\nPancreatic Cancer-Derived Small Extracellular Vesicles by Specific\nAggregation from Aptamer-Functionalized DNA Long Chains"],"prefix":"10.1021","volume":"98","author":[{"given":"Zhou","family":"Zhang","sequence":"first","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Li","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Huang","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Chen","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Shenzhen, China, 518107"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6733-3721","authenticated-orcid":true,"given":"Yuzhi","family":"Xu","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Shenzhen, China, 518107"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Shenzhen, China, 518107"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9481-9687","authenticated-orcid":true,"given":"Xiaoyong","family":"Zou","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Guangzhou, China, 510006"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3646-7396","authenticated-orcid":true,"given":"Zong","family":"Dai","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Shenzhen, China, 518107"]},{"name":"Nanjing University , , ,","place":["Nanjing, China, 210093"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8377-2396","authenticated-orcid":true,"given":"Si-Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Sun Yat-Sen University , , ,","place":["Shenzhen, China, 518107"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,7,13]]},"reference":[{"key":"2026072808072034000_cit1","doi-asserted-by":"publisher","first-page":"5382","DOI":"10.3390\/cancers14215382","article-title":"Artificial Intelligence-Driven\nDiagnosis of Pancreatic\nCancer","volume":"14","author":"Hameed","year":"2022","journal-title":"Cancers"},{"key":"2026072808072034000_cit2","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3322\/caac.21871","article-title":"Cancer statistics,\n2025","volume":"75","author":"Siegel","year":"2025","journal-title":"Ca-Cancer J. 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