{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,10]],"date-time":"2026-08-10T02:30:05Z","timestamp":1786329005242,"version":"build-2736575974"},"reference-count":46,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:00:00Z","timestamp":1776384000000},"content-version":"vor","delay-in-days":16,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Water Environment Research"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The COVID\u201019 pandemic has revealed the importance of wastewater\u2010based epidemiology (WBE) due to its advantages over traditional surveillance systems. However, low viral prevalence poses a significant challenge for reliable detection of SARS\u2010CoV\u20102 in endemic wastewater settings. This study aimed to improve detection sensitivity of SARS\u2010CoV\u20102 by applying the chip\u2010based digital PCR (dPCR) approach targeting the CDC N1 and N2 genes to wastewater samples processed with a combined magnetic bead concentration method during a low\u2010prevalence period in South Korea. Here, the evaluation results using dPCR combined with magnetic bead concentration showed higher viral loads and lower variability compared to the commonly used electronegative filtration method. Comparative analysis of the dual\u2010target N1\u2009+\u2009N2 and E\u2010Sarbeco assays revealed that the N1\u2009+\u2009N2 assay yielded significantly higher concentrations (4.73\u2009\u00b1\u20090.19 log\n                    <jats:sub>10<\/jats:sub>\n                    GC\/L) than the E gene assay (4.27\u2009\u00b1\u20090.25 log\n                    <jats:sub>10<\/jats:sub>\n                    GC\/L) in dPCR analysis (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01). PMMoV normalization increased the Pearson correlation coefficient between SARS\u2010CoV\u20102 concentrations and clinical case data from\n                    <jats:italic>R<\/jats:italic>\n                    \u2009=\u20090.1 to\n                    <jats:italic>R<\/jats:italic>\n                    \u2009=\u20090.31; however, this was not statistically significant. These findings contribute to enhancing detection sensitivity for SARS\u2010CoV\u20102 wastewater surveillance in endemic settings.\n                  <\/jats:p>","DOI":"10.1002\/wer.70372","type":"journal-article","created":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T05:49:06Z","timestamp":1776491346000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Chip\u2010Based Digital PCR Approach for Improved SARS\u2010CoV\u20102 Quantification for Endemic Wastewater Surveillance"],"prefix":"10.1002","volume":"98","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-2861-3564","authenticated-orcid":false,"given":"Youngrae","family":"Jo","sequence":"first","affiliation":[{"name":"Department of Environmental Engineering Incheon National University  Incheon South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seoyoon","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Environmental Engineering Incheon National University  Incheon South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Do Gyun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Environmental Engineering Incheon National University  Incheon South 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