journal article·2024-09-04

Terahertz Plasmonic Biosensor Leveraging Ag-Au-Graphene Heterostructures for Quantitative Hemoglobin Analysis with Machine Learning Algorithms for Performance Optimization

Jacob Wekalao, Ngaira Mandela, Costable Lefu, Obed Apochi, Calistus Wamalwa, Wesley Langat

Plasmonics· Volume 20· Issue 5
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OpenAlex topics: Advanced biosensing and bioanalysis techniques · Molecular Communication and Nanonetworks · Gold and Silver Nanoparticles Synthesis and Applications

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References (64)

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1. Haleem A, Javaid M, Singh RP, Suman R, Rab S (2021) Biosensors applications in medical field: a brief review. Sensors International 2. https://doi.org/10.1016/j.sintl.2021.10010010.1016/j.sintl.2021.100100 ↗
2. Singh AK, Mittal S, Das M, Saharia A, Tiwari M (2023) Optical biosensors: a decade in review. Alexandria Engineering Journal 67:673–691. https://doi.org/10.1016/j.aej.2022.12.04010.1016/j.aej.2022.12.040 ↗
3. Pillai S, Upadhyay A, Sayson D, Nguyen BH, Tran SD (2022) Advances in medical wearable biosensors: design, fabrication and materials strategies in healthcare monitoring. Molecules 27(1). https://doi.org/10.3390/molecules2701016510.3390/molecules27010165 ↗
4. Wu J, Liu H, Chen W, Ma B, Ju H (2023) Device integration of electrochemical biosensors. Nat. Rev. Bioeng. 1(5):346–360. https://doi.org/10.1038/s44222-023-00032-w10.1038/s44222-023-00032-w ↗
5. Hayat K (2024) Biosensors precision in healthcare: a Scientific Odyssey. Pakistan Biomed. J.:1. https://doi.org/10.54393/pbmj.v7i01.102610.54393/pbmj.v7i01.1026 ↗
6. J. Swain, S. Swain, D. Singh, A. Jena, R. Samantaray, and R. Sahu, “Role of piezoelectric biosensors,” in Point-of-Care Biosensors for Infectious Diseases, 2023, pp. 129–145. doi: https://doi.org/10.1002/9783527837946.ch7.10.1002/9783527837946.ch7 ↗
7. Mehrotra P (2016) Biosensors and their applications - a review. Journal of Oral Biology and Craniofacial Research 6(2):153–159. https://doi.org/10.1016/j.jobcr.2015.12.00210.1016/j.jobcr.2015.12.002 ↗
8. Shan CW, Chen Z, Han GC, Feng XZ, Kraatz HB (2024) Electrochemical immuno-biosensors for the detection of the tumor marker alpha-fetoprotein: a review. Talanta 271. https://doi.org/10.1016/j.talanta.2024.12563810.1016/j.talanta.2024.125638 ↗
9. Musa AM, Kiely J, Luxton R, Honeychurch KC (2023) An electrochemical screen-printed sensor based on gold-nanoparticle-decorated reduced graphene oxide–carbon nanotubes composites for the determination of 17-β estradiol. Biosensors 13(4). https://doi.org/10.3390/bios1304049110.3390/bios13040491 ↗
10. Rasheed S, Kanwal T, Ahmad N, Fatima B, Najam-ul-Haq M, Hussain D (2024) Advances and challenges in portable optical biosensors for onsite detection and point-of-care diagnostics. TrAC - Trends in Analytical Chemistry 173. https://doi.org/10.1016/j.trac.2024.11764010.1016/j.trac.2024.117640 ↗
11. Li S et al (2023) Electrochemical biosensors for whole blood analysis: recent progress, challenges, and future perspectives. Chemical Reviews 123(12):7953–8039. https://doi.org/10.1021/acs.chemrev.1c0075910.1021/acs.chemrev.1c00759 ↗
12. Ji G, Tian J, Xing F, Feng Y (2022) Optical biosensor based on graphene and its derivatives for detecting biomolecules. International Journal of Molecular Sciences 23(18). https://doi.org/10.3390/ijms23181083810.3390/ijms231810838 ↗
13. Yazdanpanah S, Rabiee M, Tahriri M, Abdolrahim M, Tayebi L (2015) Glycated hemoglobin-detection methods based on electrochemical biosensors. TrAC - Trends in Analytical Chemistry 72:53–67. https://doi.org/10.1016/j.trac.2015.03.01910.1016/j.trac.2015.03.019 ↗
14. Wu H, Wang X, Qiao M, Zhang H, Jin X, Fan S (2015) Enhancing sensitivity of hemoglobin-based electrochemical biosensor by using protein conformational intermediate. Sensors Actuators, B Chem. 221:694–699. https://doi.org/10.1016/j.snb.2015.07.02510.1016/j.snb.2015.07.025 ↗
15. Rahimzadegan A et al (2022) A comprehensive multipolar theory for periodic metasurfaces. Adv. Opt. Mater. 10(10). https://doi.org/10.1002/adom.20210205910.1002/adom.202102059 ↗
16. Wekalao J, Mandela N, Obed A, Bouhenna A (2024) Design and evaluation of tunable terahertz metasurface biosensor for malaria detection with machine learning optimization using artificial intelligence. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02491-210.1007/s11468-024-02491-2 ↗
17. Saifullah Y, He Y, Boag A, Yang GM, Xu F (2022) Recent progress in reconfigurable and intelligent metasurfaces: a comprehensive review of tuning mechanisms, hardware designs, and applications. Advanced Science 9(33). https://doi.org/10.1002/advs.20220374710.1002/advs.202203747 ↗
18. Chang S, Guo X, Ni X (2018) Optical metasurfaces: progress and applications. Annual Review of Materials Research 48:279–302. https://doi.org/10.1146/annurev-matsci-070616-12422010.1146/annurev-matsci-070616-124220 ↗
19. Wekalao J, Patel SK, Ben Khalifa S, Chebaane S, Armghan A, Saidani T (2024) Optical-based aqueous solution detection by graphene metasurface surface plasmon resonance biosensor with behavior prediction using polynomial regression. Plasmonics. https://doi.org/10.1007/s11468-024-02464-510.1007/s11468-024-02464-5 ↗
20. So S, Mun J, Park J, Rho J (2023) Revisiting the design strategies for metasurfaces: fundamental physics, optimization, and beyond. Advanced Materials 35(43). https://doi.org/10.1002/adma.20220639910.1002/adma.202206399 ↗
21. Ding F, Yang Y, Deshpande RA, Bozhevolnyi SI (2018) A review of gap-surface plasmon metasurfaces: fundamentals and applications. Nanophotonics 7(6):1129–1156. https://doi.org/10.1515/nanoph-2017-012510.1515/nanoph-2017-0125 ↗
22. Leitis A et al (2020) All-dielectric programmable Huygens’ metasurfaces. Adv. Funct. Mater. 30(19). https://doi.org/10.1002/adfm.20191025910.1002/adfm.201910259 ↗
23. J. Wekalao, S. K. Patel, and F. Ahmed, “Graphene metasurfaces - based surface plasmon resonance biosensor for virus detection with sensitivity enhancement using perovskite materials,” no. 123456789, 2024.10.1007/s11468-024-02436-9 ↗
24. Razaq A, Bibi F, Zheng X, Papadakis R, Jafri SHM, Li H (2022) Review on graphene-, graphene oxide-, reduced graphene oxide-based flexible composites: from fabrication to applications. Materials 15(3). https://doi.org/10.3390/ma1503101210.3390/ma15031012 ↗
25. J. Wekalao, G. P. Srinivasan, S. K. Patel, and F. A. Al-zahrani, “Optimization of graphene-based biosensor design for haemoglobin detection using the gradient boosting algorithm for behaviour prediction”.
26. Tiwari SK, Sahoo S, Wang N, Huczko A (2020) Graphene research and their outputs: status and prospect. Journal of Science: Advanced Materials and Devices 5(1):10–29. https://doi.org/10.1016/j.jsamd.2020.01.00610.1016/j.jsamd.2020.01.006 ↗
27. Anushkannan NK, Wekalao J, Patel SK, Al-Zahrani FA (2024) Design of encoded and tunable graphene-gold metasurface-based surface plasmon resonance sensors for glucose detection in the terahertz regime. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02452-910.1007/s11468-024-02452-9 ↗
28. Jiříčková A, Jankovský O, Sofer Z, Sedmidubský D (2022) Synthesis and applications of graphene oxide. Materials 15(3). https://doi.org/10.3390/ma1503092010.3390/ma15030920 ↗
29. Yildiz G, Bolton-Warberg M, Awaja F (2021) Graphene and graphene oxide for bio-sensing: general properties and the effects of graphene ripples. Acta Biomaterialia 131:62–79. https://doi.org/10.1016/j.actbio.2021.06.04710.1016/j.actbio.2021.06.047 ↗
30. Wekalao TTJ, Mandela N, Apochi O, Lefu C (2024) Nanoengineered graphene metasurface surface plasmon resonance sensor for precise hemoglobin detection with AI-assisted performance prediction. Plasmonics10.1007/s11468-024-02489-w ↗
31. Bhuyan MSA, Uddin MN, Islam MM, Bipasha FA, Hossain SS (2016) Synthesis of graphene. International Nano Letters 6(2):65–83. https://doi.org/10.1007/s40089-015-0176-110.1007/s40089-015-0176-1 ↗
32. Alsaif H et al (2024) Design and optimization of a MXene-based terahertz surface plasmon resonance sensor for malaria detection. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02455-610.1007/s11468-024-02455-6 ↗
33. Wekalao J, Mandela N, Muheki J, Zaid A (2024) Design and analysis of a terahertz metasurface - based refractive index sensor for hemoglobin detection with behaviour prediction using polynomial regression. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02445-810.1007/s11468-024-02445-8 ↗
34. Jacob NP, Ashokkumar W, Patel NSK (2024) Design and analysis of a plasmonic metasurface - based graphene sensor for highly sensitive and label - free detection of COVID - 19 biomarkers. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02442-x10.1007/s11468-024-02442-x ↗
35. Patel SK, Wekalao J, Mandela N, Al-Zahrani FA (2024) Design of encoded graphene-gold metasurface-based circular ring and square sensors for brain tumor detection and optimization using XGBoost algorithm. Diam. Relat. Mater. 148:111439. https://doi.org/10.1016/j.diamond.2024.11143910.1016/j.diamond.2024.111439 ↗
36. J. Wekalao, O. Alsalman, H. Patel, R. Manvani, and S. K. Patel, Swift detection of heavy metals in water by encoded graphene–gold-metasurface sensor, vol. 56, no. 7. Springer US, 2024. doi: https://doi.org/10.1007/s11082-024-07140-w.10.1007/s11082-024-07140-w ↗
37. Alsharari M, Wekalao J, Patel SK, Kumar A, Aliqab UK, Armghan A (2024) Enhanced sensing efficiency of ultra - narrow band graphene - based surface plasmon resonance refractive index sensor for biochemical applications and environmental monitoring. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02372-810.1007/s11468-024-02372-8 ↗
38. Aliqab K, Wekalao J, Alsharari M, Armghan A, Agravat D, Patel SK (2023) Designing a graphene metasurface organic material sensor for detection of organic compounds in wastewater. Biosensors 13(8). https://doi.org/10.3390/bios1308075910.3390/bios13080759 ↗
39. Almawgani AHM, Wekalao J, Patel SK, Alzahrani A, Gumaih HS, Armghan A (2024) Optimization of graphene-based square slotted surface plasmon resonance refractive index biosensor for accurate detection of pregnancy. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02290-910.1007/s11468-024-02290-9 ↗
40. Almawgani AHM, Wekalao J, Patel SK, Alzahrani A, Gumaih HS (2024) Design and development of a split ring resonator and circular disc metasurface based graphene / gold surface plasmon resonance sensor for illicit drugs detection. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02306-410.1007/s11468-024-02306-4 ↗
41. Wekalao J, Albargi HB, Patel SK, Jalalah M, Almawgani AHM (2024) Terahertz optical ultrasensitive glucose detection using graphene and silver surface plasmon resonance metasurfaces for biomedical applications. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02278-510.1007/s11468-024-02278-5 ↗
42. J. Muheki, J. Wekalao, H. B. Albargi, M. Jalalah, and A. H. M. Almawgani, “A graphene gold metasurface inspired surface plasmon resonance sensor designed for terahertz applications in sensing and detection of heavy metals in water,” 2024.10.1007/s11468-024-02273-w ↗
43. Wekalao J, Alsalman O, Shobhit RM (2024) Graphene biosensor design based on glass substrate for forensic detection of illicit drugs. Opt. Quantum Electron. https://doi.org/10.1007/s11082-024-06690-310.1007/s11082-024-06690-3 ↗
44. Wekalao J, Kumar A, Albargi UHB, Jalalah M, Almawgani AHM (2024) Graphene and gold metasurface - based terahertz surface plasmon resonance sensor for explosive detection. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02229-010.1007/s11468-024-02229-0 ↗
45. Patel SK, Wekalao J, Albargi HB, Jalalah M, Almawgani AHM (2024) Design and simulation of metasurface - enhanced graphene biosensors for cancer biomarker detection. Plasmonics (123456789). https://doi.org/10.1007/s11468-024-02224-510.1007/s11468-024-02224-5 ↗
46. Wekalao J et al (2023) Graphene-based THz surface plasmon resonance biosensor for hemoglobin detection applicable in forensic science. Plasmonics. https://doi.org/10.1007/s11468-023-02146-810.1007/s11468-023-02146-8 ↗
47. Alsalman O, Wekalao J, Arun Kumar U, Agravat D, Parmar J, Patel SK (2023) Design of Split Ring Resonator Graphene Metasurface Sensor for Efficient Detection of Brain Tumor. Plasmonics (123456789). https://doi.org/10.1007/s11468-023-02002-910.1007/s11468-023-02002-9 ↗
48. Patel SK, Wekalao J, Alsalman O, Surve J, Parmar J, Taya SA (2023) Development of surface plasmon resonance sensor with enhanced sensitivity for low refractive index detection. Opt. Quantum Electron. 55(11). https://doi.org/10.1007/s11082-023-05265-y10.1007/s11082-023-05265-y ↗
49. Wekalao J, Patel SK, Alsalman O, Surve J, Anushkannan NK, Parmar J (2023) Waterborne Bacteria Detecting Highly Sensitive Graphene Metasurface Based Cost-Efficient and Efficient Refractive Index Sensors. Plasmonics (123456789). https://doi.org/10.1007/s11468-023-01983-x10.1007/s11468-023-01983-x ↗
50. Wekalao J, Alsalman O, Natraj NA, Surve J, Parmar J, Patel SK (2023) Design of Graphene Metasurface Sensor for Efficient Detection of COVID-19. Plasmonics (123456789). https://doi.org/10.1007/s11468-023-01946-210.1007/s11468-023-01946-2 ↗
51. Wekalao J, Patel SK, Anushkannan NK, Alsalman O, Surve J, Parmar J (2023) Design of ring and cross shaped graphene metasurface sensor for efficient detection of malaria and 2 bit encoding applications. Diam. Relat. Mater. 139:110401. https://doi.org/10.1016/j.diamond.2023.11040110.1016/j.diamond.2023.110401 ↗
52. Patel SK, Parmar J, Katkar V (2022) Ultra-broadband, wide-angle plus-shape slotted metamaterial solar absorber design with absorption forecasting using machine learning. Sci. Rep. 12(1):1–14. https://doi.org/10.1038/s41598-022-14509-y10.1038/s41598-022-14509-y ↗
53. Patel SK et al (2022) Graphene based highly sensitive refractive index sensor using double split ring resonator metasurface. Opt. Quantum Electron. 54(3). https://doi.org/10.1007/s11082-022-03600-310.1007/s11082-022-03600-3 ↗
54. Abbaszadeh A, Rash-Ahmadi S (2024) A surface plasmon resonance sensor based on photonic crystal fiber composed of magnesium fluoride and graphene layers to detect aqueous solutions. Opt. Quantum Electron. 56(6). https://doi.org/10.1007/s11082-024-06853-210.1007/s11082-024-06853-2 ↗
55. Płaneta S, Bartusik-Aebisher D, Aebisher D (2023) Hemoglobin. In: The Biochemical Guide to Proteins, pp 117–121. https://doi.org/10.5005/jp/books/13014_2410.5005/jp/books/13014_24 ↗
56. Patel SK, Surve J, Parmar J, Natesan A, Katkar V (2023) Graphene-Based Metasurface Refractive Index Biosensor for Hemoglobin Detection: Machine Learning Assisted Optimization. IEEE Trans. Nanobioscience 22(2):430–437. https://doi.org/10.1109/TNB.2022.320123710.1109/TNB.2022.3201237 ↗
57. J. Surve, R. Jadeja, T. Parmar, J. Parmar, and J. Parmar, “A Terahertz-Based Graphene Metasurface Sensor for Hemoglobin Detection with High Q Factor and Low Figure of Merit,” in Terahertz Devices, Circuits and Systems: Materials, Methods and Applications, 2022, pp. 41–51. doi: https://doi.org/10.1007/978-981-19-4105-4_3.10.1007/978-981-19-4105-4_3 ↗
58. Singh R, Cao W, Al-Naib I, Cong L, Withayachumnankul W, Zhang W (2014) Ultrasensitive terahertz sensing with high- Q Fano resonances in metasurfaces. Appl. Phys. Lett. 105(17). https://doi.org/10.1063/1.489559510.1063/1.4895595 ↗
59. Almawgani AHM et al (2023) A Graphene-Metasurface-Inspired Optical Sensor for the Heavy Metals Detection for Efficient and Rapid Water Treatment. Photonics 10(1). https://doi.org/10.3390/photonics1001005610.3390/photonics10010056 ↗
60. S. Raj, S. Patle, and S. Rajendran, “Predicting crop yield using decision tree regressor,” in IEEE International Conference on Knowledge Engineering and Communication Systems, ICKES 2022, 2022. doi: https://doi.org/10.1109/ICKECS56523.2022.10060730.10.1109/ICKECS56523.2022.10060730 ↗
61. Scikit-learn, “Decision tree regressor,” Scikit-learn.
62. Luo H, Cheng F, Yu H, Yi Y (2021) SDTR: soft decision tree regressor for tabular data. IEEE Access 9:55999–56011. https://doi.org/10.1109/ACCESS.2021.307057510.1109/ACCESS.2021.3070575 ↗
63. M. Zenga and C. Colapinto, “Decision tree for classification and forecasting,” in Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications, 2023, pp. 53–81. doi: https://doi.org/10.1201/9781003283980-3.10.1201/9781003283980-3 ↗
64. Gulati P, Sharma A, Gupta M (2016) Theoretical study of decision tree algorithms to identify pivotal factors for performance improvement: a review. Int J Comput Appl 141(14):19–25. https://doi.org/10.5120/ijca201690992610.5120/ijca2016909926 ↗