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      Bio-inspired Superwettable Surface for the Detection of Cancer Biomarker: A Mini Review

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          Abstract

          Inspired by nature, superwettable material-based biosensors have aroused wide interests due to their potential in cancer biomarker detection. This mini review mainly summarized the superwettable materials as novel biosensing substrates for the development of evaporation-induced enrichment-based signal amplification and visual biosensing method. Biosensing applications based on the superhydrophobic surfaces, superwettable micropatterned surfaces, and slippery lubricant-infused porous surfaces for various cancer biomarker detections were described in detail. Finally, an insight of remaining challenges and perspectives of superwettable biosensor is proposed.

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          The Hallmarks of Cancer

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            Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

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              Purity of the sacred lotus, or escape from contamination in biological surfaces

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                Author and article information

                Journal
                Technol Cancer Res Treat
                Technol Cancer Res Treat
                TCT
                sptct
                Technology in Cancer Research & Treatment
                SAGE Publications (Sage CA: Los Angeles, CA )
                1533-0346
                1533-0338
                5 July 2022
                2022
                : 21
                : 15330338221110670
                Affiliations
                [1 ]Advanced Research Institute for Multidisciplinary Science, Ringgold 12689, universityQilu University of Technology; (Shandong Academy of Sciences), Jinan, People’s Republic of China
                [2 ]Advanced Materials Institute, Ringgold 12689, universityQilu University of Technology; (Shandong Academy of Sciences), Jinan, People’s Republic of China
                [3 ]Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Ringgold 165082, universityLinyi University; , Linyi, People’s Republic of China
                Author notes
                [*]Zhong Feng Gao, Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, People’s Republic of China; Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis-Therapy Integration in Universities of Shandong, Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Linyi University, Linyi 276005, People’s Republic of China. Email: zfgao1024@ 123456hotmail.com
                Author information
                https://orcid.org/0000-0002-4667-6212
                Article
                10.1177_15330338221110670
                10.1177/15330338221110670
                9340408
                35790461
                6cbccc75-5e79-443e-a382-fbb8bc08f76b
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 16 February 2022
                : 2 June 2022
                : 14 June 2022
                Funding
                Funded by: National Natural Science Foundation of China, FundRef https://doi.org/10.13039/501100001809;
                Award ID: 22176080;31800829
                Funded by: Natural Science Foundation of Shandong Province, FundRef https://doi.org/10.13039/501100007129;
                Award ID: ZR2018BB054
                Categories
                Mini Review
                Custom metadata
                ts19
                January-December 2022

                superwettable material,biosensing,superwettability,bio-inspired material,sensitive detection

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