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However, conventional terahertz biosensors typically achieve sensing based on a single resonant peak, which inherently limits the sensitivity and detection precision. In this article, a flexible quad-band terahertz metasurface biosensor is proposed. The biosensor employs a mirrored double-F-shaped metallic unit cell, which generates four resonant peaks at 1.02, 2.27, 2.60, and 2.95 THz. Moreover, a multipeak data fusion strategy is proposed to jointly analyze the frequency shifts of the four resonant peaks, which can enhance the sensitivity and precision simultaneously. For verification, a biosensor prototype is fabricated on a polyethylene terephthalate substrate. Two kinds of cancer biomarkers alpha-fetoprotein and carcinoembryonic antigen related to hepatocellular carcinoma (HCC) are used as experimental samples. The results show that the detection sensitivities (35.4 and 31.1 GHz\/lg (ng\/mL)) obtained using the multipeak data fusion strategy based on cumulative frequency shifts are both higher than those measured from the four single peaks under the same concentration. The biosensor achieves a limit of detection as low as 1.00 ng\/mL for both biomarkers. Furthermore, by fusing multipeak data through average frequency shift analysis, random noise is effectively suppressed, thereby reducing the relative standard deviation to less than 3% and significantly improving the linearity (R2 &amp;gt; 0.99). In comparison with conventional approaches, the proposed method exhibits heightened sensitivity and precision. Consequently, this research offers an effective solution for the early clinical diagnosis of cancer.<\/jats:p>","DOI":"10.1021\/acsami.6c10417","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T13:10:27Z","timestamp":1785849027000},"page":"42376-42385","source":"Crossref","is-referenced-by-count":0,"title":["Quad-Band Terahertz Metasurface Flexible Biosensor for HCC Biomarker Detection Using a Multipeak Data Fusion Strategy"],"prefix":"10.1021","volume":"18","author":[{"given":"Jiehao","family":"Huang","sequence":"first","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0832-1514","authenticated-orcid":true,"given":"Pin","family":"Wen","sequence":"additional","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Zhan","sequence":"additional","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Zhou","sequence":"additional","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Huang","sequence":"additional","affiliation":[{"name":"Jiangxi Normal University , , ,","place":["Nanchang, China, 330027"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhao","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanchang University , , ,","place":["Nanchang, China, 330031"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"316","published-online":{"date-parts":[[2026,7,27]]},"reference":[{"key":"2026081706071446300_cit1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bios.2021.113767","article-title":"Advances in Surface Plasmon Resonance\u2013Based Biosensor Technologies for Cancer Biomarker Detection","volume":"197","author":"Azzouz","year":"2022","journal-title":"Biosens. 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