DataVXPlasmonicsPaper
journal article·2025-06-11

Graphene-integrated Multiresonator Architecture with Machine Learning Enhancement for Enhanced Isoquercitrin Detection System in Phytopharmaceutical Formulations

Jacob Wekalao, S. Premalatha, P. Prabakaran, C. R. Rathish

Plasmonics· Volume 21· Issue 1
Publisher page
Bibliographic record

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

Nanomaterials

OpenAlex topics: Advanced Biosensing Techniques and Applications · Photonic and Optical Devices · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (51)

Show source-provided references
1. Fagbola O (2023) The use of herbal health products and home-based remedies for protection against Covid-19. Texila Int. J. Public Heal 11(1). https://doi.org/10.21522/TIJPH.2013.11.01.Art004.10.21522/TIJPH.2013.11.01.Art004 ↗
2. Rosenthal L, Hernandez P, Vaamonde D (2022) Traditional Chinese medicine, Ayurveda, and fertility,” in Fertility, Pregnancy, and Wellnesspp. 209–247. https://doi.org/10.1016/B978-0-12-818309-0.00014-9.10.1016/B978-0-12-818309-0.00014-9 ↗
3. Ito A, Isohama Y, Watanabe K (2022) Comparison of flipped and traditional lecture-based classrooms for Kampo (traditional Japanese medicine) education in a medical school,” Int J Educ Res Open 3. https://doi.org/10.1016/j.ijedro.2022.100156.10.1016/j.ijedro.2022.100156 ↗
4. Bareetseng S (2022) The worldwide herbal market trends and opportunities. J Biomed Res Environ Sci 3(5):575–584. https://doi.org/10.37871/jbres148210.37871/jbres1482 ↗
5. Silpavathi L, Das MK, Das AD (2019) Challenges and prospective solutions in non-classical herbal formulations: A review. Indian J Pharm Sci 81(6):981–987. https://doi.org/10.36468/pharmaceutical-sciences.595.10.36468/pharmaceutical-sciences.595 ↗
6. Folashade KO, Omoregie EH, Ochogu AP (2012) Standardization of herbal medicines - A review. Int J Biodivers Conserv (4):3. https://doi.org/10.5897/ijbc11.16310.5897/ijbc11.163 ↗
7. Noviana E, Indrayanto G, Rohman A (2022) Advances in fingerprint analysis for standardization and quality control of herbal medicines. Front Pharmacol 13. https://doi.org/10.3389/fphar.2022.853023.10.3389/fphar.2022.853023 ↗
8. Wang H, Chen Y, Wang L, Liu Q, Yang S,Wang C (2023) Advancing herbal medicine: enhancing product quality and safety through robust quality control practices. Front Pharmacol 14. https://doi.org/10.3389/fphar.2023.1265178.10.3389/fphar.2023.1265178 ↗
9. Nafiu MO, Hamid AA, Muritala HF, Adeyemi SB (2017) Preparation, Standardization, and Quality Control of Medicinal Plants in Africa. In: Medicinal Spices and Vegetables from Africa: Therapeutic Potential Against Metabolic, Inflammatory, Infectious and Systemic Diseases pp. 171–204. https://doi.org/10.1016/B978-0-12-809286-6.00007-8.10.1016/B978-0-12-809286-6.00007-8 ↗
10. Surekha D, Rajan V, Kumar N, Parameswari S, Chetty CM (2011) A review on role of quality control and quality assurance system in regulation of herbal drugs. Int J Rev Life Sci 1(3):97–105
11. Baglyas M et al (2022) High-performance thin-layer chromatography – antibacterial assay first reveals bioactive clerodane diterpenes in giant goldenrod (Solidago gigantea Ait.). J Chromatogr A 1677. https://doi.org/10.1016/j.chroma.2022.463308.10.1016/j.chroma.2022.463308 ↗
12. Shellie RA, Heng WS (2022) “Gas Chromatography”, in Encyclopedia of Forensic Sciences: Volume 1–4. Third Edition 3:1–9. https://doi.org/10.1016/B978-0-12-823677-2.00234-810.1016/B978-0-12-823677-2.00234-8 ↗
13. Hatzakis E (2019) Nuclear magnetic resonance (NMR) spectroscopy in food science: a comprehensive review. Compr Rev Food Sci Food Safety 18(1):189–220. https://doi.org/10.1111/1541-4337.1240810.1111/1541-4337.12408 ↗
14. Kuballa T, Kaltenbach KH, Teipel J, Lachenmeier DW (2023) Liquid nuclear magnetic resonance (NMR) spectroscopy in transition—from structure elucidation to multi-analysis method. Separations 10(11). https://doi.org/10.3390/separations10110572.10.3390/separations10110572 ↗
15. Beaumont VA, Liu L, Shi H, Rouse JC, Kim HY (2023) Application of NMR and chemometric analyses to better understand the quality attributes in pH and thermally degraded monoclonal antibodies. Pharm Res 40(10):2457–2467. https://doi.org/10.1007/s11095-023-03600-210.1007/s11095-023-03600-2 ↗
16. Lanzotti V et al (2022) NMR metabolomics and chemometrics of lettuce, lactuca sativa L., under different foliar organic fertilization treatments. Plants 11(16). https://doi.org/10.3390/plants11162164.10.3390/plants11162164 ↗
17. Windarsih A, Arifah MF, Utami ID et al (2024) Detection of goat milk adulteration in horse milk using LC-HRMS-based non-targeted metabolomics and chemometrics. Chem Pap 78(2):809–821. https://doi.org/10.1007/s11696-023-03123-510.1007/s11696-023-03123-5 ↗
18. Liu N (2020) DNA nanotechnology meets nanophotonics. Nano Lett 20(12):8430–8431. https://doi.org/10.1021/acs.nanolett.0c0427710.1021/acs.nanolett.0c04277 ↗
19. Malkiel I, Mrejen M, Nagler A, Arieli U, Wolf L, Suchowski H (2018) Plasmonic nanostructure design and characterization via deep learning. Light Sci. Appl. 7(1). https://doi.org/10.1038/s41377-018-0060-7.10.1038/s41377-018-0060-7 ↗
20. Ciobanu D, Hosu-Stancioiu O, Melinte G, Ognean F, Simon I, Cristea C (2024) Recent progress of electrochemical aptasensors toward AFB1 detection (2018–2023),” Biosensors 14(1). https://doi.org/10.3390/bios14010007.10.3390/bios14010007 ↗
21. Soltane IB, Dierick F, Stout B, Bonod N (2024) Generalized drude–lorentz model complying with the singularity expansion method. Adv Opt Mater. https://doi.org/10.1002/adom.202400093.10.1002/adom.202400093 ↗
22. Wekalao J et al (2025) Graphene - based metasurface terahertz biosensing platform for accurate alpha - fetoprotein detection in liver cancer diagnosis enhanced with machine learning optimization. Plasmonics. https://doi.org/10.1007/s11468-025-02968-810.1007/s11468-025-02968-8 ↗
23. Wekalao J, Kraiem H, Ben S, Saleh K, Ammar C, Shobhit A (2025) Design and optimization of graphene - gold metasurface THz biosensor using Au - SiO 2 material with machine learning for multi - analyte detection. Plasmonics. https://doi.org/10.1007/s11468-025-02954-010.1007/s11468-025-02954-0 ↗
24. Wekalao J, Elsayed HA, El-sherbeeny AM, Abukhadra MR, Mehaney A (2025) Regular Article - Computational Methods Design and optimization of a hybrid graphene-metallic metasurfaces terahertz biosensor for high-precision detection of reproductive hormones , integrating locally weighted linear regression analysis and 2-bit encodi. Eur Phys J B 123. https://doi.org/10.1140/epjb/s10051-025-00933-2.10.1140/epjb/s10051-025-00933-2 ↗
25. Jacob RM, Ramkumar WM, Arul RS (2025) Ultra ‑ sensitive graphene ‑ metal hybrid metasurface for non ‑ invasive glucose detection with convolutional neural network integration. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02989-3.10.1007/s11468-025-02989-3 ↗
26. Wekalao J, Mandela N, Mwendwa G, Elamri O (2025) Advanced plasmonic sensor design for sperm detection with machine learning - driven optimization. Opt Quantum Electron. https://doi.org/10.1007/s11082-025-08151-x10.1007/s11082-025-08151-x ↗
27. Wekalao J et al (2025) A high - sensitivity terahertz metasurface biosensor with graphene - MXene - black phosphorus integration for early pregnancy detection. Plasmonics. https://doi.org/10.1007/s11468-025-02981-x10.1007/s11468-025-02981-x ↗
28. Bouhenna A, Zeggai O, Ahmed H, Wekalao J, Achour A (2025) High ‑ sensitivity terahertz plasmon resonance biosensor incorporating graphene ‑ perovskite metasurfaces for waterborne bactefInformaticsrial Detect 123456789. https://doi.org/10.1007/s11468-025-02948-y.10.1007/s11468-025-02948-y ↗
29. Wekalao J, Elsayed HA, Alarifi NS, Abukhadra MR, Bellucci S (2025) AI enhanced metasurface sensor design for ultra-sensitive terahertz gas detection using 2D materials. https://doi.org/10.1063/5.0265295.10.1063/5.0265295 ↗
30. Watson AB, Margetis D, Luskin M (2023) Mathematical aspects of the Kubo formula for electrical conductivity with dissipation. Jpn J Ind Appl Math 40(3):1765–1795. https://doi.org/10.1007/s13160-023-00613-710.1007/s13160-023-00613-7 ↗
31. Wekalao J, Elamri O (2025) Novel terahertz biosensor integrating MXene / black phosphorus / graphene on metasurface architecture for enhanced pregnancy detection. 1–20. https://doi.org/10.1007/s11082-025-08205-010.1007/s11082-025-08205-0 ↗
32. Wekalao J (2025) Locally weighted linear regression – optimized graphene – metal metasurface sensor for high-sensitivity organic compound detection in terahertz regime. Zeitschrift f r Naturforsch. A1–17. https://doi.org/10.1515/zna-2025-0050.10.1515/zna-2025-0050 ↗
33. Wekalao J, Kouki M, Ben S, Arun K, Saleh KU, Shobhit C (2025) Plasmon - enhanced charge transport in graphene - Au - SiO ₂ metasurfaces for terahertz biosensor applications. Plasmonics. https://doi.org/10.1007/s11468-025-02945-110.1007/s11468-025-02945-1 ↗
34. Wekalao J, Maina S, Oumaymah N (2025) Enhanced malaria detection using a hybrid borophene - based terahertz biosensor with random forest regression analysis. Brazilian J Phys. https://doi.org/10.1007/s13538-025-01759-010.1007/s13538-025-01759-0 ↗
35. Wekalao J et al.(2025) A graphene ‑ based surface plasmon resonance metasurfaces terahertz sensor for early brain tumor detection with machine learning optimization. Plasmonics. 123456789. https://doi.org/10.1007/s11468-025-02930-8.10.1007/s11468-025-02930-8 ↗
36. Wekalao J, Elsayed HA, El-Sherbeeny AM, Mostafa S, Mehaney A (2025) Design and optimization of a graphene-enhanced terahertz metasurfaces surface plasmon resonance biosensor with multi- material architecture for cancer detection integrating 1d-cnn machine learning for performance prediction and analysis. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02912-w.10.1007/s11468-025-02912-w ↗
37. Wekalao J et al. (2025) Design and performance evaluation of a graphene biosensor for protein detection with two , three bit encoding and machine learning optimization. https://doi.org/10.1007/s11468-025-02925-5.10.1007/s11468-025-02925-5 ↗
38. Wekalao J, Elamri O (2025) Dual ‑ resonator mxene metasurface ‑ based gas sensor with machine learning ‑ enhanced surface plasmon resonance detection. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02936-2.10.1007/s11468-025-02936-2 ↗
39. Wekalao J, Ghodhbani R, Arun DR, Ammar KU, Shobhit A (2025) High ‑ sensitivity terahertz refractive index sensor using black phosphorus ‑ mxene ‑ graphene hybrid metasurfaces for label ‑ free COVID ‑ 19 detection. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02884-x.10.1007/s11468-025-02884-x ↗
40. Wekalao J (2025) High ‑ sensitivity terahertz gas sensor using graphene ‑ enhanced metasurfaces with machine learning optimization. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02843-6.10.1007/s11468-025-02843-6 ↗
41. Wekalao J (2025) High-sensitivity graphene-mos ₂ hybrid metasurface biosensor with machine learning optimization for hemoglobin detection. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02886-9.10.1007/s11468-025-02886-9 ↗
42. Wekalao J (2025) Enhanced terahertz graphene metasurface biosensor for early breast cancer detection with machine learning optimization based on locally weighted linear regression. Plasmonics123456789. https://doi.org/10.1007/s11468-025-02905-9.10.1007/s11468-025-02905-9 ↗
43. Elsayed HA et al (2025) Graphene metasurfaces biosensor for COVID-19 detection in the infra- red regime. 1–26. https://doi.org/10.1038/s41598-025-92991-w10.1038/s41598-025-92991-w ↗
44. Sheheryar T, Tian Y, Lv B, Gao L (2025) Highly Sensitive Polarization-Independent Metasurface Terahertz Biosensor for Multi-disease Diagnosis. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02903-x.10.1007/s11468-025-02903-x ↗
45. Patel SK, Surve J, Baz A, Parmar Y (2024) Optimization of novel 2D material based spr biosensor using machine learning. IEEE Trans Nanobioscience 1–1. https://doi.org/10.1109/TNB.2024.3354810.10.1109/TNB.2024.3354810 ↗
46. Kamani T, Patel SK, Armghan A, Kraiem H (2025) Design and analysis of surface plasmon resonance refractive index biosensor with label ‑ free detection of anemia , hiv , and cholesterol. Plasmonics 123456789. https://doi.org/10.1007/s11468-025-02763-5.10.1007/s11468-025-02763-5 ↗
47. Mousania Y, Karimi S, Farmani A (2025) Designing high ‑ performance spr biosensor using hybrid structure of BifeO3 and 2D material for SARS ‑ CoV ‑ 2 detection. Plasmonics 123456789. https://doi.org/10.1007/s11468-024-02516-w.10.1007/s11468-024-02516-w ↗
48. Gumaih HS, Mollah A, Adam YS, Almawgani AHM (2025) Sensitivity enhancement of plasmonic sensor using dual aluminum oxide nitride layers for chikungunya virus detection : a numerical analysis. https://doi.org/10.1007/s11468-024-02751-1.10.1007/s11468-024-02751-1 ↗
49. Ali Y, Ali A, Rahman A, Almawgani AHM, Mollah A, Alabsi BA (2025) Internal sensing with exposed core fiber plasmonic sensor and machine-learning approach for RI prediction. https://doi.org/10.1007/s11468-024-02754-y.10.1007/s11468-024-02754-y ↗
50. Bai M et al Mountain forest type classification based on one-dimensional convolutional neural network. Forests 14(9). https://doi.org/10.3390/f14091823.10.3390/f14091823 ↗
51. Alsalman O, Wekalao J, Patel SK, Prakash O (2024) Machine learning optimized graphene and MXene ‑ based surface plasmon resonance biosensor design for cyanide detection. Plasmonics 123456789. https://doi.org/10.1007/s11468-024-02698-3.10.1007/s11468-024-02698-3 ↗