Cited by 60Gold and Silver Nanoparticles Synthesis and ApplicationsPlasmonic and Surface Plasmon ResearchAdvanced biosensing and bioanalysis techniques

Nanozyme‐Catalyzed Metasurface Plasmon Sensor‐Based Portable Ultrasensitive Optical Quantification Platform for Cancer Biomarker Screening

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Li, Rui, Fan, Hongli, Zhou, Hanlin, Chen, Youqian, Yu, Qingcai, Hu, Wenjun, Liu, Gang L., Huang, Liping·2023·Advanced Science

Abstract

Developing plasmonic biosensors that are low‐cost, portable, and relatively simple to operate remains challenging. Herein, a novel metasurface plasmon‐etch immunosensor is described, namely a nanozyme‐linked immunosorbent surface plasmon resonance biosensor, for the ultrasensitive and specific detection of cancer biomarkers. Gold‐silver composite nano cup array metasurface plasmon resonance chip and artificial nanozyme‐labeled antibody are used in two‐way sandwich analyte detection. Changes in the biosensor's absorption spectrum are measured before and after chip surface etching, which can be applied to immunoassays without requiring separation or amplification. The device achieved a limit of alpha‐fetoprotein (AFP) detection < 21.74 fM, three orders of magnitude lower than that of commercial enzyme‐linked immunosorbent assay kits. Additionally, carcinoembryonic antigen (CEA) and carbohydrate antigen 125 (CA125) are used for quantitative detection to verify the universality of the platform. More importantly, the accuracy of the platform is verified using 60 clinical samples; compared with the hospital results, the three biomarkers achieve high sensitivity (CEA: 95.7%; CA125: 90.9%; AFP: 86.7%) and specificity (CEA: 97.3%; CA125: 93.9%; AFP: 97.8%). Due to its rapidity, ease of use, and high throughput, the platform has the potential for high‐throughput rapid detection to facilitate cancer screening or early diagnostic testing in biosensing.

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Crossref · 10.1002/advs.202301658

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  • Catechol and quinone groups within PDA film are partially deprotonated in Tris buffer at pH 8.5, enabling strong interactions with a wide range of substrates including gold, glassy carbon, ITO, silicon, and flexible PET.

    “On the one hand, catechol and quinone groups within the PDA film are partially deprotonated in Tris buffer at pH 8.5, enabling strong interactions with a wide range of substrates, including gold, glassy carbon, indium tin oxide (ITO), silicon, and flexible polyethylene terephthalate (PET).”

    From Polydopamine-Based Biomaterials in Oral Medicine: Applications, Mechanisms, and Translational Challenges (2026) · cites this paper as [87]

    The Results and Discussion section says PDA can form on virtually any substrate and deposits under mildly alkaline conditions. The Experimental Section reports a PDA coating prepared in Tris at pH 8.5 and identifies quinone groups in PDA. It does not say catechol and quinone groups are partially deprotonated, establish that this enables substrate interactions, or name glassy carbon and ITO among the substrates. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • A uniform and highly hydrophilic interface is established on PDA-modified surfaces, providing a favorable foundation for subsequent biomolecule immobilization.

    “As a result, a uniform and highly hydrophilic interface is established, providing a favorable foundation for subsequent biomolecule immobilization.86,87”

    From Polydopamine-Based Biomaterials in Oral Medicine: Applications, Mechanisms, and Translational Challenges (2026) · cites this paper as [87]

    The Experimental Section (Surface Functionalization; page unavailable) says the PDA film was used to immobilize an antibody on the chip. The Results and Discussion (Enhanced Performance of the Nano-ELISPR Platform; page unavailable) says PDA improved antibody immobilization, but does not establish that the resulting interface was uniform or highly hydrophilic; it describes the chip surface as changing from smooth to rough. (LLM, conf=0.87)

    Experimental — accuracy not yet measured
  • These interactions involve metal-catechol coordination, hydrogen bonding, and π-π stacking, collectively allowing conformal coating at thicknesses below 10 nm and reducing surface contact angles to less than 25°.

    “These interactions involve metal–catechol coordination, hydrogen bonding, and π–π stacking, collectively allowing conformal coating at thicknesses below 10 nm and reducing surface contact angles to less than 25°.”

    From Polydopamine-Based Biomaterials in Oral Medicine: Applications, Mechanisms, and Translational Challenges (2026) · cites this paper as [87]

    The Results and Discussion section (Enhanced Performance of the Nano-ELISPR Platform; page not provided) says PDA films deposit spontaneously and can form on virtually any substrate, supporting the general coating point. It does not identify metal–catechol coordination, hydrogen bonding, or π–π stacking as the interactions involved, or report a PDA coating thickness below 10 nm or a contact angle below 25°. The nanometre measurements elsewhere describe deposited metal films, not the PDA coating. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

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References 54 · Cited by 60

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  1. [1]a) A. Azzouz, L. Hejji, K.‐H. Kim, D. Kukkar, B. Souhail, N. Bhardwaj, R. J. C. Brown, W. Zhang, Biosens. Bioelectron. 2022, 197, 113767; 34768064 b) H. Sung, J. Ferlay, R. L. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, F. Bray, Ca–Cancer J. Clin. 2021, 71, 209. 33538338
  2. [2]a) H. Ma, X. Sun, L. Chen, W. Cheng, X. X. Han, B. Zhao, C. He, Anal. Chem. 2017, 89, 8877; 28770990 b) C. P. Wild, in Encyclopedia of Toxicology (Ed: P. Wexler), Academic Press, Oxford 2014.
  3. [3]a) R. L. Siegel, A. Jemal, R. C. Wender, T. Gansler, J. Ma, Ca–Cancer J. Clin. 2018, 68, 329; 30191964 b) D. Sim, M. C. Brothers, J. M. Slocik, A. E. Islam, B. Maruyama, C. C. Grigsby, R. R. Naik, S. S. Kim, Adv. Sci. 2022, 9, 2104426. PMC8895156 35023321
  4. [4]Z. Naz, S. Usman, K. Saleem, S. Ahmed, H. Bashir, M. Bilal, A. Sumrin, Biomed. Res. 2018, 29, 2478.
  5. [5]A. T. Kal‐Koshvandi, TrAC, Trends Anal. Chem. 2020, 128, 115920.
  6. [6]J. J. Gregory, J. L. Finlay, Drugs 1999, 57, 463. 10235686
  7. [7]a) Y. Liu, J. Chen, M. Du, X. Wang, X. Ji, Z. He, Biosens. Bioelectron. 2017, 92, 68; 28187301 b) L. Xiao, A. Zhu, Q. Xu, Y. Chen, J. Xu, J. Weng, ACS Appl. Mater. Interfaces 2017, 9, 6931. 28164701
  8. [8]a) G. Zou, X. Tan, X. Long, Y. He, W. Miao, Anal. Chem. 2017, 89, 13024; 29111675 b) X. Wang, H. Gao, H. Qi, Q. Gao, C. Zhang, Anal. Chem. 2018, 90, 3013. 29433314
  9. [9]a) L. Guo, Y. Shi, X. Liu, Z. Han, Z. Zhao, Y. Chen, W. Xie, X. Li, Biosens. Bioelectron. 2018, 99, 368; 28802749 b) S. Xu, Y. Liu, M. Chen, Expert Syst. Appl. 2017, 71, 173.
  10. [10]a) B. Zhang, H. Meng, X. Wang, J. Li, H. Chang, W. Wei, Sens. Actuators, B 2018, 255, 2531; b) W. Li, X. Jiang, J. Xue, Z. Zhou, J. Zhou, Biosens. Bioelectron. 2015, 68, 468. 25621998
  11. [11]X. Li, Y. Zhang, B. Xue, X. Kong, X. Liu, L. Tu, Y. Chang, H. Zhang, Biosens. Bioelectron. 2017, 92, 517. 27836611
  12. [12]a) Y. Liu, L. Zhan, Z. Qin, J. Sackrison, J. C. Bischof, ACS Nano 2021, 15, 3593; 33607867 b) Y.‐C. Yang, M.‐H. Liu, S.‐M. Yang, Y.‐H. Chan, ACS Sens. 2021, 6, 4255. 34788538
  13. [13]a) D. M. Rissin, C. W. Kan, T. G. Campbell, S. C. Howes, D. R. Fournier, L. Song, T. Piech, P. P. Patel, L. Chang, A. J. Rivnak, E. P. Ferrell, J. D. Randall, G. K. Provuncher, D. R. Walt, D. C. Duffy, Nat. Biotechnol. 2010, 28, 595; 20495550 PMC2919230 b) Y. Wu, W. Guo, W. Peng, Q. Zhao, J. Piao, B. Zhang, X. Wu, H. Wang, X. Gong, J. Chang, ACS Appl. Mater. Interfaces 2017, 9, 9369. 28252291
  14. [14]S. K. Ramakrishan, M. M. Fernandez, T. Cloitre, V. Agarwal, F. J. G. Cuisinier, C. Gergely, Sens. Actuators, B 2018, 272, 211.
  15. [15]a) M. Mahmoudpour, J. Ezzati Nazhad Dolatabadi, M. Torbati, A. Pirpour Tazehkand, A. Homayouni‐Rad, M. de la Guardia, Biosens. Bioelectron. 2019, 143, 111603; 31445387 b) P. O. Patil, G. R. Pandey, A. G. Patil, V. B. Borse, P. K. Deshmukh, D. R. Patil, R. S. Tade, S. N. Nangare, Z. G. Khan, A. M. Patil, M. P. More, M. Veerapandian, S. B. Bari, Biosens. Bioelectron. 2019, 139, 111324; 31121435 c) F. Li, W. Yang, B. Zhao, S. Yang, Q. Tang, X. Chen, H. Dai, P. Liu, Adv. Sci. 2022, 9, 2102804. PMC8867190 34978168
  16. [16]A. Prasad, J. Choi, Z. Jia, S. Park, M. R. Gartia, Biosens. Bioelectron. 2019, 130, 185. 30738247 PMC6475599
  17. [17]R. Li, Y. Zhao, H. Fan, M. Chen, W. Hu, Q. Zhang, M. Jin, G. L. Liu, L. Huang, Mater. Today Bio 2022, 16, 100444. PMC9531290 36204214
  18. [18]B. Yang, Y. Chen, J. Shi, Adv. Mater. 2019, 31, 1901778. 31328844
  19. [19]C. N. Loynachan, M. R. Thomas, E. R. Gray, D. A. Richards, J. Kim, B. S. Miller, J. C. Brookes, S. Agarwal, V. Chudasama, R. A. McKendry, M. M. Stevens, ACS Nano 2018, 12, 279. 29215864 PMC5785759
  20. [20]C. N. Loynachan, A. P. Soleimany, J. S. Dudani, Y. Lin, A. Najer, A. Bekdemir, Q. Chen, S. N. Bhatia, M. M. Stevens, Nat. Nanotechnol. 2019, 14, 883. 31477801 PMC7045344
  21. [21]E. Sheng, Y. Lu, Y. Xiao, Z. Li, H. Wang, Z. Dai, Biosens. Bioelectron. 2021, 181, 113149. 33713951
  22. [22]a) W. S. Lee, T. Kang, K. J. Kwak, K. Park, S. Y. Yi, U. J. Lee, Y. B. Shin, J. Jeong, Nano Convergence 2020, 7, 13; 32279129 PMC7150666 b) P. Jorgensen, L. Chanthap, A. Rebueno, R. Tsuyuoka, D. Bell, Am. J. Trop. Med. Hyg. 2006, 74, 750. 16687674
  23. [23]R. de la Rica, M. M. Stevens, Nat. Nanotechnol. 2012, 7, 821. 23103935
  24. [24]L. Zhou, K. Wang, H. Sun, S. Zhao, X. Chen, D. Qian, H. Mao, J. Zhao, Nano–Micro Lett. 2019, 11, 20. PMC7770693 34137997
  25. [25]R. Gordon, D. Sinton, K. L. Kavanagh, A. G. Brolo, Acc. Chem. Res. 2008, 41, 1049. 18605739
  26. [26]H.‐C. Yang, J. Luo, Y. Lv, P. Shen, Z.‐K. Xu, J. Membr. Sci. 2015, 483, 42.
  27. [27]X. Geng, J. Wang, J. Ye, S. Yang, Q. Han, H. Lin, F. Liu, Sep. Purif. Technol. 2020, 244, 116857.
  28. [28]H. Lee, S. M. Dellatore, W. M. Miller, P. B. Messersmith, Science 2007, 318, 426. 17947576 PMC2601629
  29. [29]Y. Li, Y. Su, J. Li, X. Zhao, R. Zhang, X. Fan, J. Zhu, Y. Ma, Y. Liu, Z. Jiang, J. Membr. Sci. 2015, 476, 10.
  30. [30]a) S. Hong, J. Kim, Y. S. Na, J. Park, S. Kim, K. Singha, G.‐I. Im, D.‐K. Han, W. J. Kim, H. Lee, Angew. Chem., Int. Ed. 2013, 52, 9187; 23843262 b) H. Li, Z. Xiong, Y. Jia, F. Gao, C. Wang, Q. Li, J. Li, Small 2022, 18, 2202405. 35908156
  31. [31]A. Minopoli, B. D. Ventura, B. Lenyk, F. Gentile, J. A. Tanner, A. Offenhäusser, D. Mayer, R. Velotta, Nat. Commun. 2020, 11, 6134. 33262332 PMC7708447
  32. [32]a) S. Guo, L. Wang, S. Dong, E. Wang, J. Phys. Chem. C 2008, 112, 13510; b) A. Li, W. Duan, J. Liu, K. Zhuo, Y. Chen, J. Wang, Sci. Rep. 2018, 8, 13141. 30177708 PMC6120876
  33. [33]S. Alonge, M. Melandri, G. Aiudi, G. M. Lacalandra, Top. Companion Anim. Med. 2018, 33, 105. 30502858
  34. [34]A. Valerievich Yumashev, M. Rudiansyah, S. Chupradit, M. M. Kadhim, A. Turki Jalil, W. K. Abdelbasset, W. Suksatan, R. Mireya Romero Parra, Y. Fakri Mustafa, B. Abdullaev, R. Bidares, Anal. Biochem. 2022, 655, 114750. 35643149
  35. [35]a) M. Toma, K. Tawa, ACS Appl. Mater. Interfaces 2016, 8, 22032; 27484114 b) Q. Wu, N. Li, Y. Wang, Y. liu, Y. Xu, S. Wei, J. Wu, G. Jia, X. Fang, F. Chen, X. Cui, Biosens. Bioelectron. 2019, 144, 111697. 31536930
  36. [36]M. Wuithschick, A. Birnbaum, S. Witte, M. Sztucki, U. Vainio, N. Pinna, K. Rademann, F. Emmerling, R. Kraehnert, J. Polte, ACS Nano 2015, 9, 7052. 26147899
  37. [37]L. Huang, L. Ding, J. Zhou, S. Chen, F. Chen, C. Zhao, J. Xu, W. Hu, J. Ji, H. Xu, G. L. Liu, Biosens. Bioelectron. 2021, 171, 112685. 33113383 PMC7557276
  38. [38]L. Huang, Y. Li, C. Luo, Y. Chen, N. Touil, H.‐E. Annaz, S. Zeng, T. Dang, J. Liang, W. Hu, H. Xu, J. Tu, L. Wang, Y. Shen, G. L. Liu, Biosens. Bioelectron. 2022, 199, 113868. 34920226 PMC8651493

Authors
Li, R., Fan, H., Zhou, H., Chen, Y., Yu, Q., Hu, W., Liu, G. L., & Huang, L.
Affiliations
  • Huazhong University of Science and Technology (CN)
  • Biosensor R&amp;D Department Liangzhun (Wuhan) Life Technology Co., Ltd. 666 Gaoxin Avenue Wuhan 430070 P. R. China
  • Anhui University of Science and Technology (CN)
Corresponding author
  • Liu, Gang L.
  • Huang, Liping
Venue
Advanced Science
Publisher
Wiley
Published
2023-06-26
Volume
10
Issue
24
Pages
e2301658-e2301658
ISSN
2198-3844 (ISSN-L)
OpenAlex
W4382010866
Cited by
60
References
54
Citations by year
2026: 16 · 2025: 21 · 2024: 19 · 2023: 4
FWCI
3.63
Type
journal article
Language
en
Open access
Locations
  • Advanced Science (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (91959107, 82072735)
  • Fundamental Research Funds for the Central Universities (2019kfyXMPY002, 2020kfyXGYJ111, 2021XXJS112)
Topics
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
  • Physical Sciences › Engineering › Biomedical Engineering › Plasmonic and Surface Plasmon Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
Keywords
nanozymes, surface plasmon resonance biosensor, sandwich immunoassay, cancer biomarker detection, alpha-fetoprotein, carcinoembryonic antigen, CA125, cancer screening, early cancer detection
MeSH terms
alpha-Fetoproteins, Carcinoembryonic Antigen, Catalysis, Immunoassay, Neoplasms, Biomarkers, Tumor, Biosensing Techniques, Early Detection of Cancer

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