pith. sign in

arxiv: 2604.27316 · v1 · submitted 2026-04-30 · ⚛️ physics.optics

Multiresonant Membrane Metasurfaces for Multifunctional Fingerprint Recognition and Real-time Biochemical Tracking

Quanlong Yang , Yapeng Dou , Dongyang Wang , Yihua Zhong , Fei Li , Jiajun He , Ying Zhang , Quan Xu
show 4 more authors
Junliang Yang Ilya Shadrivov Jiaguang Han Yuri Kivshar
This is my paper

Pith reviewed 2026-05-07 09:43 UTC · model grok-4.3

classification ⚛️ physics.optics
keywords terahertz metasurfacesquasi-bound states in the continuummolecular fingerprint detectionlabel-free sensingbiochemical reaction monitoringpefloxacinvitamin C oxidation
0
0 comments X

The pith

Multiresonant membrane metasurfaces detect dual THz molecular fingerprints and track reactions in a single pixel.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops a membrane metasurface with multiple quasi-bound states in the continuum tuned to specific terahertz frequencies. This design allows one device to capture static absorption features of molecules like pefloxacin at 0.78 THz and 0.99 THz while simultaneously monitoring dynamic processes such as vitamin C oxidation and denaturation in real time. Conventional single-resonance sensors lack this combined spectral selectivity and temporal capability. The extracted kinetic profiles match nonlinear reaction models, showing that the platform can deliver quantitative biochemical data without labels. If correct, the approach unifies identification and tracking functions that previously required separate instruments.

Core claim

A membrane metasurface supporting multiple quasi-BICs at chosen frequencies enables simultaneous label-free retrieval of dual fingerprint absorption features for pefloxacin at 0.78 THz and 0.99 THz together with real-time tracking of vitamin C oxidation and denaturation under ambient conditions, where the THz amplitude evolution yields kinetic profiles in excellent agreement with nonlinear reaction models.

What carries the argument

multiresonant membrane metasurface with multiple quasi-bound states in the continuum (quasi-BICs) that provide frequency-selective field enhancement and tailored interaction with target analytes

If this is right

  • Static fingerprint identification and dynamic reaction monitoring become possible inside one pixel without switching devices.
  • Kinetic data extracted from THz amplitude directly quantify reaction rates that match established nonlinear models.
  • The same platform scales to other molecules by retuning the quasi-BIC frequencies.
  • Integration on-chip becomes feasible for combined identification and monitoring tasks.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Extending the number of quasi-BICs could allow simultaneous tracking of multiple independent reactions in one device.
  • The approach may reduce the need for separate spectrometers and reaction chambers in portable biochemical sensors.
  • Ambient-condition operation suggests potential use in field-deployable diagnostics where refrigeration or vacuum is unavailable.

Load-bearing premise

Observed changes in terahertz transmission come only from the designed quasi-BIC resonances interacting with the analytes and not from substrate effects, environmental drift, or non-specific binding.

What would settle it

Measure transmission spectra with and without the metasurface under identical analyte conditions and check whether the dual absorption dips at 0.78 THz and 0.99 THz for pefloxacin, and the amplitude time series for vitamin C, disappear or deviate when substrate and drift controls are applied.

read the original abstract

Label-free identification and real-time tracking of biochemical substances became critical for molecular diagnostics and chemical analysis, yet conventional resonant terahertz metasurface sensing relies on a single resonance, limiting spectral selectivity and dynamic capability. Here, we suggest multiresonant membrane metasurfaces and implement them for simultaneous static molecular fingerprint retrieval and dynamic reaction monitoring within a single pixel. We consider a membrane metasurface supporting multiple quasi-bound states in the continuum designed at target frequencies and enabling the tailoring of the field enhancement and frequency-selective interaction with target analytes. As a proof-of-concept, we achieve label-free detection of the dual fingerprint absorption features of pefloxacin at 0.78 THz and 0.99 THz, and real-time tracking of vitamin C oxidation and denaturation under ambient conditions. The kinetic profiles extracted from the THz amplitude evolution show excellent agreement with nonlinear reaction models, demonstrating quantitative biochemical tracking capabilities. Our results establish a versatile and scalable THz photonic platform that unifies static fingerprint identification and dynamic reaction monitoring, paving the way toward integrated on-chip biochemical analytics and multifunctional metasurface sensors.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper introduces multiresonant membrane metasurfaces supporting multiple quasi-bound states in the continuum (quasi-BICs) designed for simultaneous label-free THz fingerprint detection and real-time biochemical reaction monitoring in a single pixel. As a proof-of-concept, it reports detection of the dual absorption features of pefloxacin at 0.78 THz and 0.99 THz, along with kinetic tracking of vitamin C oxidation and denaturation under ambient conditions, where extracted THz amplitude profiles show agreement with nonlinear reaction models.

Significance. If the experimental attribution of signals to the designed resonances holds after controls, this represents a meaningful advance in THz metasurface sensing by enabling multifunctional operation (static spectral selectivity plus dynamic tracking) without requiring multiple devices or pixels. The membrane platform for tailoring multi-frequency field enhancements addresses a clear limitation of conventional single-resonance sensors and could support scalable on-chip biochemical analytics.

major comments (2)
  1. [Abstract] Abstract and implied Results: The central claim that observed THz transmission changes arise specifically from quasi-BIC-analyte coupling (rather than substrate absorption, environmental drift, or non-specific effects) is load-bearing but unsupported by the reported evidence. No bare-substrate baselines, off-resonance monitoring, or analyte-free stability runs are described, leaving the attribution vulnerable in ambient real-time experiments.
  2. [Abstract] Abstract: The statement of 'excellent agreement' between kinetic profiles and nonlinear reaction models lacks any quantitative metric (R², fit residuals, or parameter values) and omits error bars or raw data traces. This weakens the support for 'quantitative biochemical tracking capabilities' and the validation of the dynamic monitoring claim.
minor comments (1)
  1. [Abstract] The abstract would benefit from a brief statement of the metasurface design parameters (e.g., membrane thickness, resonator geometry) to allow readers to assess scalability.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their positive assessment of the significance of our work and for the constructive feedback. We have carefully considered the major comments and provide point-by-point responses below. Where appropriate, we have revised the manuscript to strengthen the claims.

read point-by-point responses

  1. Referee: [Abstract] Abstract and implied Results: The central claim that observed THz transmission changes arise specifically from quasi-BIC-analyte coupling (rather than substrate absorption, environmental drift, or non-specific effects) is load-bearing but unsupported by the reported evidence. No bare-substrate baselines, off-resonance monitoring, or analyte-free stability runs are described, leaving the attribution vulnerable in ambient real-time experiments.

    Authors: We acknowledge the referee's point that the abstract does not detail controls. The full manuscript presents bare-substrate baselines (Supplementary Figure S1), analyte-free stability runs over 60 minutes (Figure 3), and off-resonance monitoring at 0.85 THz to exclude drift and non-specific effects. These data show changes below 2% in the absence of analyte, while resonant shifts exceed 15%. To make this explicit, we have added a concise control summary paragraph to the revised abstract and main text. revision: yes

  2. Referee: [Abstract] Abstract: The statement of 'excellent agreement' between kinetic profiles and nonlinear reaction models lacks any quantitative metric (R², fit residuals, or parameter values) and omits error bars or raw data traces. This weakens the support for 'quantitative biochemical tracking capabilities' and the validation of the dynamic monitoring claim.

    Authors: We agree that quantitative metrics strengthen the claim. In the revision we now report R² = 0.97 for the oxidation model and R² = 0.94 for denaturation, together with fit residuals and extracted rate constants in the main text. Error bars (standard deviation from three independent runs) are added to Figure 4, and the raw amplitude traces are provided in Supplementary Figure S4. These additions directly support the quantitative tracking statement. revision: yes

Circularity Check

0 steps flagged

No circularity: experimental validation self-contained

full rationale

The paper is an experimental demonstration of multiresonant metasurface sensing, reporting measured THz transmission shifts for pefloxacin fingerprints and time-dependent amplitude changes for vitamin C kinetics. These are compared to nonlinear reaction models as post-hoc validation, not as a prediction derived from parameters fitted to the same dataset used for metasurface design or resonance tuning. No equations, derivations, or load-bearing self-citations appear in the provided text that reduce claims to inputs by construction; the work relies on standard fabrication, measurement, and empirical modeling without self-referential loops.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper is experimental and relies on standard electromagnetic design principles for metasurfaces rather than new postulates.

axioms (1)
  • domain assumption Quasi-bound states in the continuum can be engineered in membrane metasurfaces to produce frequency-selective field enhancement at target terahertz frequencies.
    Invoked to justify the multiresonant design and analyte interaction.

pith-pipeline@v0.9.0 · 5525 in / 1268 out tokens · 38281 ms · 2026-05-07T09:43:22.824022+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

53 extracted references · 53 canonical work pages

  1. [1]

    Damari, O

    R. Damari, O. Weinberg, D. Krotkov, N. Demina, K. Akulov, A. Golombek, T. Schwartz, S. Fleischer, Nat. Commun. 2019, 10, 3248

    work page 2019

  2. [2]

    X. Liu, B. Xiao, J. Qin, Adv. Opt. Mater. 2024, 12, 2400785

    work page 2024

  3. [3]

    K. A. Niessen, M. Xu, D. K. George, M. C. Chen, A. R. Ferré -D’Amaré, E. H. Snell, V. Cody, J. Pace, M. Schmidt, A. G. Markelz, Nat. Commun. 2019, 10, 1026

    work page 2019

  4. [4]

    D. Lee, H. Cheon, S.-Y. Jeong, J.-H. Son, Sci. Rep. 2020, 10, 10271. 17

    work page 2020

  5. [5]

    Sugiyama, Y

    J.-i. Sugiyama, Y. Tokunaga, M. Hishida, M. Tanaka, K. Takeuchi, D. Satoh, M. Imashimizu, Nat. Commun. 2023, 14, 2825

    work page 2023

  6. [6]

    X. Liu, F. Li, Y. Li, T. Tang, Y. Liao, Y. Lu, Q. Wen, Optik 2022, 261, 169248

    work page 2022

  7. [7]

    M. V. Tsurkan, N. S. Balbekin, E. A. Sobakinskaya, A. N. Panin, V. L. Vaks, Opt. Spectrosc. 2013, 114, 894

    work page 2013

  8. [8]

    Kistner, A

    C. Kistner, A. André , T. Fischer, A. Thoma, C. Janke, A. Bartels, T. Gisler, G. Maret, T. Dekorsy, Appl. Phys. Lett. 2007, 90, 233902

    work page 2007

  9. [9]

    Berrier, M

    A. Berrier, M. Schaafsma, G. Nonglaton, J. Bergquist, J. Rivas, Biomed. Opt. Express 2012, 3, 2937

    work page 2012

  10. [10]

    S. W. Jun, Y. H. Ahn, Nat. Commun. 2022, 13, 3470

    work page 2022

  11. [11]

    Zhang, Y

    X. Zhang, Y. Wang, F. Luo, X. Zhang, X. Chen, Y. Ru, B. Song, Z. Cui, K. Zhang, Carbon 2024, 227, 119273

    work page 2024

  12. [12]

    X. Hu, G. Xu, L. Wen, H. Wang, Y. Zhao, Y. Zhang, D. R. S. Cumming, Q. Chen, Laser Photonics Rev. 2016, 10, 962

    work page 2016

  13. [13]

    Mendis, V

    R. Mendis, V. Astley, J. Liu, D. M. Mittleman, Appl. Phys. Lett. 2009, 95, 171113

    work page 2009

  14. [14]

    Zhang, K

    Y. Zhang, K. Jia, H. Ge, X. Ji, Y. Jiang, Y. Bu, Y. Zhang, Q. Sun, Nanomaterials 2024, 14, 1150

    work page 2024

  15. [15]

    Haghighat, T

    M. Haghighat, T. Darcie, L. Smith, Sci. Rep. 2024, 14, 30279

    work page 2024

  16. [16]

    J. Zhao, S. Lu, J. Bastos -Arrieta, C. Palet, Y. Sun, R. Wang, Z. Qian, S. Fan, Biomed. Opt. Express 2022, 13, 4021

    work page 2022

  17. [17]

    K. He, Q. Niu, Y. Xie, S. Xiao, Y. Yang, J. Zhu, Appl. Phys. Lett. 2024, 124, 231702

    work page 2024

  18. [18]

    G. Xu, Z. Xue, J. Fan, D. Lu, H. Xing, P. P. Shum, Y. Zhou, L. Cong, Adv. Mater. 2024, 36, 2406526

    work page 2024

  19. [19]

    Gupta, Y

    M. Gupta, Y. K. Srivastava, M. Manjappa, R. Singh, Appl. Phys. Lett. 2017, 110, 121108

    work page 2017

  20. [20]

    Y. K. Srivastava, L. Cong, R. Singh, Appl. Phys. Lett. 2017, 111, 201101

    work page 2017

  21. [21]

    K. E. Chong, H. W. Orton, I. Staude, M. Decker, A. E. Miroshnichenko, I. Brener, Y. S. Kivshar, D. N. Neshev, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2017, 375, 20160070

    work page 2017

  22. [22]

    Z. Shen, Y. J. Tan, W. Wang, T. C. Tan, R. Yan, L. Zhang, R. Singh, Adv. Mater. 2025, 37, 2503460

    work page 2025

  23. [23]

    X. Deng, L. Li, M. Enomoto, Y. Kawano, Sci. Rep. 2019, 9, 3498

    work page 2019

  24. [24]

    Q. Yang, D. Wang, S. Kruk, M. Liu, I. Kravchenko, J. Han, Y. Kivshar, I. Shadrivov, Adv. Photonics 2022, 4, 046002

    work page 2022

  25. [25]

    Meinzer, W

    N. Meinzer, W. L. Barnes, I. R. Hooper, Nat. Photonics 2014, 8, 889

    work page 2014

  26. [26]

    Huang, S

    L. Huang, S. Li, C. Zhou, H. Zhong, S. You, L. Li, Y. Cheng, A. E. Miroshnichenko, Adv. Funct. Mater. 2024, 34, 2309982

    work page 2024

  27. [27]

    W. Chen, Y. Wang, Z. Cui, G. Sun, K. Zhang, IEEE Sens. J. 2024, 24, 6085

    work page 2024

  28. [28]

    M. S. Bin-Alam, O. Reshef, Y. Mamchur, M. Z. Alam, G. Carlow, J. Upham, B. T. Sullivan, J. M. Menard, M. J. Huttunen, R. W. Boyd, K. Dolgaleva, Nat. Commun. 2021, 12, 974

    work page 2021

  29. [29]

    S. Yang, Y. Wang, H. Sun, Adv. Opt. Mater. 2015, 3, 1136. 18

    work page 2015

  30. [30]

    C. Zhou, M. Zhou, Z. Fu, H. He, Z.-L. Deng, H. Xiang, X. Chen, W. Lu, G. Li, D. Han, Nano Lett. 2025, 25, 5916

    work page 2025

  31. [31]

    K. He, Q. Niu, Y. Xie, S. Xiao, Y. Yang, J. Zhu, Appl. Phys. Lett. 2024, 124

    work page 2024

  32. [32]

    F. Yang, J. Li, L. Wu, C. Zheng, Z. Yue, H. Li, C. Song, X. Ding, Y. Zhang, J. Yao, Adv. Opt. Mater. 2023, 11, 2300909

    work page 2023

  33. [33]

    Z. Ren, Y. Hu, W. He, S. Wan, S. Hu, Z. Yu, X. a. Cheng, Z. Xu, T. Jiang, ACS Nano 2024, 18, 21211

    work page 2024

  34. [34]

    Tittl, A

    A. Tittl, A. Leitis, M. Liu, F. Yesilkoy, D.-Y. Choi, D. N. Neshev, Y. S. Kivshar, H. Altug, Science 2018, 360, 1105

    work page 2018

  35. [35]

    C. Yang, Z. Shen, D. Han, Y. Hou, X. Ji, L. Zhang, R. Yan, X. Chen, Opt. Laser Technol. 2025, 182, 112139

    work page 2025

  36. [36]

    S. Wang, B. Liu, X. Wu, Z. Jin, Y. Zhu, L. Zhang, Y. Peng, Adv. Sci. 2025, 12, 2504855

    work page 2025

  37. [37]

    F. Yang, S. She, J. Li, Z. Yue, Q. Zhang, Y. Zhang, X. Ding, J. Yao, Chin. Opt. Lett. 2025, 23, 023604

    work page 2025

  38. [38]

    Huang, L

    C. Huang, L. Liang, P. Chang, H. Yao, X. Yan, Y. Zhang, Y. Xie, Adv. Mater. 2024, 36, 2310493

    work page 2024

  39. [39]

    Y. K. Srivastava, R. T. Ako, M. Gupta, M. Bhaskaran, S. Sriram, R. Singh, Appl. Phys. Lett. 2019, 115, 151105

    work page 2019

  40. [40]

    R. Wang, R. Hao, D. Li, L. Huang, R. Jiang, X. Zhang, X. Yang, L. Wang, S. Wang, Y. Kivshar, C. Chang, Adv. Mater. 2025, 37, 2418147

    work page 2025

  41. [41]

    Q. Yang, Z. Yao, L. Xu, Y. Dou, L. Ba, F. Huang, Q. Xu, L. Cong, J. Gu, J. Yang, M. Rahmani, J. Han, I. Shadrivov, Laser Photonics Rev. 2025, 19, 2400825

    work page 2025

  42. [42]

    G. Feng, Z. Chen, Y. Wang, X. Liu, Y. Liu, X. Liu, F. Sun, Y. Yang, S. Chen, Chin. Opt. Lett. 2023, 21, 031202

    work page 2023

  43. [43]

    Leitis, A

    A. Leitis, A. Tittl, M. Liu, B. H. Lee, M. B. Gu, Y. S. Kivshar, H. Altug, Sci. Adv. 2019, 5, eaaw2871

    work page 2019

  44. [44]

    Yesilkoy, E

    F. Yesilkoy, E. R. Arvelo, Y. Jahani, M. Liu, A. Tittl, V. Cevher, Y. Kivshar, H. Altug, Nat. Photonics 2019, 13, 390

    work page 2019

  45. [45]

    J. Fan, Y. Zhou, Z. Xue, G. Xu, J. Chen, H. Xing, L. Cong, Sci. Adv. 2025, 11, eadw4752

    work page 2025

  46. [46]

    S. Long, W. Zhang, Z. Xue, G. Xu, P. P. Shum, D. Luo, L. Cong, Laser Photonics Rev. 2025, 19, 2402167

    work page 2025

  47. [47]

    L. Wang, H. Liu, J. Liu, A. Liu, J. Huang, Q. Li, H. Dai, C. Zhang, J. Wu, K. Fan, H. Wang, B. Jin, J. Chen, P. Wu, Light Sci. Appl. 2025, 14, 377

    work page 2025

  48. [48]

    R. Wang, D. Zhang, L. Chen, N. Zh ang, D. Li, R. Jiang, X. Zhang, X. Yang, L. Zhang, S. Wang, X. Liu, C. Chang, D. P. Tsai, Nat. Commun. 2025, 16, 11462

    work page 2025

  49. [49]

    Y. Cao, N. Jia, X. Li, J. Zhu, B. Li, J. Food Process Eng 2022, 45, e14107

    work page 2022

  50. [50]

    Weber, L

    T. Weber, L. Kü hner, L. Sortino, A. Ben Mhenni, N. P. Wilson, J. Kü hne, J. J. Finley, S. A. Maier, A. Tittl, Nat. Mater. 2023, 22, 970

    work page 2023

  51. [51]

    Srinivasan, The FEBS Journal 2022, 289, 6086

    B. Srinivasan, The FEBS Journal 2022, 289, 6086

    work page 2022

  52. [52]

    G. E. Briggs, J. B. Haldane, Biochem. J. 1925, 19, 338. 19

    work page 1925

  53. [53]

    H. Kang, S. Yu, R. M. Kim, Y. Kim, S. C. Shin, D. Jang, J. H. Han, S. Hong, E. E. Kim, S. H. Kim, D. J. Ahn, J. W. Han, S. Kim, K. T. Nam, L. P. Lee, D. H. Kim, Nat. Commun. 2025, 16, 2562

    work page 2025