REVIEW ARTICLE ON POLYMERIC NANOPARTICLE Final Work 20240304 Characterization and Application of Nanomaterials 2025, 8(1), 9917. https://doi.org/10.24294/can9917 1 Review Emerging frontiers: Harnessing the power of CNT/GO-based biosensors for early disease biomarker detection Amirul Islam Saddam1, Md. Rakibul Islam1, Razu Shahazi1, Md. Kawsar Mahamud1, Mohammed Muzibur Rahman2,3, Md. Mahmud Alam1,2,* 1 Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh 2 Center of Excellence for Advanced Materials Research (CEAMR), King Abdulaziz University, P.O. Box 80203, Jeddah 21589, Saudi Arabia 3 Chemistry Department, King Abdulaziz University, Faculty of Science, P.O. Box 80203, Jeddah 21589, Saudi Arabia * Corresponding author: Md. Mahmud Alam, alam-mahmud@hotmail.com, mmalam@zhsust.ac.bd Abstract: This review discusses the significant progress made in the development of CNT/GO-based biosensors for disease biomarker detection. It highlights the specific applications of CNT/GO-based biosensors in the detection of various disease biomarkers, including cancer, cardiovascular diseases, infectious diseases, and neurodegenerative disorders. The superior performance of these biosensors, such as their high sensitivity, low detection limits, and real-time monitoring capabilities, makes them highly promising for early disease diagnosis. Moreover, the challenges and future directions in the field of CNT/GO- based biosensors are discussed, focusing on the need for standardization, scalability, and commercialization of these biosensing platforms. In conclusion, CNT/GO-based biosensors have demonstrated immense potential in the field of disease biomarker detection, offering a promising approach towards early diagnosis. Continued research and development in this area hold great promise for advancing personalized medicine and improving patient outcomes. Keywords: CNT/GO-based biosensors; disease biomarker detection; early diagnosis; biosensing; cancer; cardiovascular diseases; infectious diseases; neurodegenerative disorders 1. Introduction Emerging as quite promising systems for identifying disease biomarkers are CNT/GO-based biosensors. Carbon nanotubes (CNTs) and graphene oxide (GO) are attractive for this use. Firstly, CNTs and GO have outstanding electrical conductivity, which helps detect biomolecules sensitively. Between biomarkers and recognition elements, their electrical characteristics can transduce particular binding events into detectable electrical signals [1,2]. Secondly, CNTs and GO have a high surface area- to-volume ratio, offering a lot of binding surfaces for biomarker capture. This improves the biosensor’s sensitivity. Selective detection of target biomarkers becomes feasible by functionalizing CNTs and GO with particular recognition elements like antibodies or aptamers [3–5]. The label-free detection capability of CNT/GO-based biosensors adds still another benefit. This simplifies the assay process and removes the necessity of extra labeling steps. Moreover, CNTs and GO fit microfabrication methods, which enables integration with miniature devices [6,7]. This makes point-of-care diagnostics portable, and successful detection of several disease biomarkers has been shown by CNT/GO-based biosensors [8–10]. They have shown great sensitivity and specificity for identifying particular tumor markers in cancer diagnosis, thus facilitating early CITATION Saddam AI, Islam MR, Shahazi R, et al. Emerging frontiers: Harnessing the power of CNT/GO-based biosensors for early disease biomarker detection. Characterization and Application of Nanomaterials. 2025; 8(1): 9917. https://doi.org/10.24294/can9917 ARTICLE INFO Received: 28 October 2024 Accepted: 9 December 2024 Available online:17 February 2025 COPYRIGHT Copyright © 2025 by author(s). Characterization and Application of Nanomaterialsis published by EnPress Publisher, LLC. This work is licensed under the Creative Commons Attribution (CC BY) license. https://creativecommons.org/licenses/ by/4.0/ Characterization and Application of Nanomaterials 2025, 8(1), 9917. 2 cancer detection and treatment monitoring [11,12]. By identifying cardiac biomarkers linked with heart failure and myocardial infarction, they have also shown promise in diagnosing cardiovascular disease [13–15]. CNT/GO-based biosensors have been applied for fast and sensitive identification of pathogen-associated biomarkers in infectious disease diagnostics, enabling early identification of infectious agents [16]. Furthermore, these biosensors could identify disease-specific biomarkers in neurodegenerative diseases, supporting early diagnosis and disease progression monitoring [17,18]. This review intends to analyze the progress in CNT/GO-based biosensors, emphasizing their fabrication techniques, functionalization approaches, and integration with transducing components to improve sensitivity and selectivity. It examines the particular applications of these biosensors in identifying various disease biomarkers, including those linked to cancer, cardiovascular diseases, infectious diseases, and neurodegenerative disorders. Additionally, the review highlights the superior performance of CNT/GO-based biosensors, such as their high sensitivity, low detection limits, and real-time monitoring capabilities, which contribute to their potential in facilitating early disease diagnosis. Finally, it discusses the challenges and future trajectories in the domain, highlighting the necessity for standardization, scalability, and commercialization to enhance personalized medicine and optimize patient outcomes. 2. Cancer diagnosis Biosensors using graphene oxide (GO) and carbon nanotubes (CNT) have shown significant potential for cancer detection [19,20]. These biosensors possess exceptional qualities such as high sensitivity, selectivity, and compatibility with biological systems. [21,22]. They can identify specific cancer biomarkers, such as proteins and nucleic acids, in diverse biological specimens, including blood, urine, and saliva [23]. The elevated surface area and superior electrical conductivity of CNTs and GO enhance the immobilization of capture probes that specifically attach to target biomarkers [24,25]. The detection of cancer utilizing a biosensor is depicted in Figure 1. Binding events induce alterations in electrical, optical, or electrochemical signals, facilitating the sensitive detection of cancer biomarkers [26,27]. Liquid biopsy is a non-invasive method utilized for cancer diagnosis and monitoring [28–30]. CNT/GO-based biosensors have been investigated to detect circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA) in blood specimens. These biosensors can detect circulating tumor cells (CTCs) or assess genetic modifications in circulating tumor DNA (ctDNA), yielding critical insights regarding tumor existence, advancement, and therapeutic response [31]. Characterization and Application of Nanomaterials 2025, 8(1), 9917. 3 Figure 1. Detection of cancer using biosensor. Another advantage is the potential for multiplexed detection, allowing simultaneous analysis of multiple cancer biomarkers [32–34]. By integrating different capture probes specific to distinct biomarkers, CNT/GO-based biosensors can detect and quantify multiple analytes in a single assay. Multiplex biomarker detection employs modern techniques such as microarrays, multiplexed enzyme- linked immunosorbent assay, mass spectrometry, and biosensors to recognize many targets at once [35]. Techniques use unique probes, spectral signatures, or chemical interactions to provide high-throughput and specific detection [36]. This multiplexed approach improves diagnostic accuracy and efficiency by providing a comprehensive profile of the disease [37]. CNT/GO-based biosensors are also well-suited for point- of-care cancer testing due to their portability, rapid response, and ability to detect low analyte concentrations [38]. They can be integrated into portable devices or wearable sensors, enabling real-time and on-site cancer diagnosis. By continually monitoring physiological or chemical signals from the body, wearable sensors can identify cancer biomarkers. These devices detect cancer-related markers in physiological fluids such blood, saliva, perspiration, or interstitial fluid by using cutting-edge materials and technology [39]. Point-of-care testing facilitates early detection, personalized treatment, and improved patient outcomes, particularly in resource-limited settings [40–42]. Furthermore, CNT/GO-based biosensors have been investigated for cancer imaging and visualization. Functionalized CNTs or GO can act as contrast agents in various imaging techniques such as photoacoustic imaging, fluorescence imaging, and magnetic resonance imaging (MRI) [43–46]. These biosensors enhance sensitivity and specificity in cancer imaging, aiding in tumor localization, staging, and monitoring [47,48]. It’s important to note that while CNT/GO-based biosensors hold promise for cancer diagnosis, further research and development are necessary to optimize their performance, validate their clinical utility, and ensure integration into routine clinical practice [49,50]. The field of biosensors is rapidly evolving, and recent advancements may have occurred since my knowledge cutoff. Therefore, referring to the latest scientific literature and Characterization and Application of Nanomaterials 2025, 8(1), 9917. 4 research updates is recommended for the most recent progress in CNT/GO-based biosensors for cancer diagnosis. 3. Infectious disease diagnosis Biosensors based on CNT/GO have shown great promise as tools for diagnosing infectious diseases. These biosensors allow for the quick and accurate identification of particular biomarkers linked to contagious agents using the unique qualities of graphene oxide (GO) and carbon nanotubes (CNTs). They can identify various biomarkers that indicate the presence of pathogens or host immune responses, such as proteins, nucleic acids, and other molecular targets [51,52]. Figure 2 shows how infectious diseases are detected. The high sensitivity and selectivity of CNT/GO-based biosensors is one of their main benefits. They improved sensitivity results from the effective capture of biomarkers made possible by the high surface area-to-volume ratio of GO and CNTs [53–55]. Accurate diagnosis is also ensured by functionalizing CNTs and GO with particular recognition elements, like aptamers or antibodies, which allow for the selective detection of target biomarkers. Multiplexed detection is another significant characteristic of CNT/GO-based biosensors [56–58]. These systems enable the simultaneous detection of multiple infectious disease biomarkers by attaching multiple capture probes to the biosensor. This feature allows for thorough disease profiling and improves diagnostic efficiency and accuracy [59,60]. Figure 2. Infectious disease detection. Ongoing research efforts in this field focus on enhancing the sensitivity, stability, and scalability of CNT/GO-based biosensors for infectious disease diagnosis. Additionally, there is a concerted effort to address challenges related to standardization, validation, and the integration of these biosensors into routine clinical practice. 4. Neurological disorder diagnosis The use of CNT/GO-based biosensors in diagnosing neurological conditions, such as Parkinson’s and Alzheimer’s diseases, has shown encouraging results [61,62]. These biosensors can detect Specific biomarkers closely linked to the pathophysiology of these disorders, such as alpha-synuclein and amyloid-beta proteins. Amyloid-beta plaques and tau protein tangles are two characteristics of Alzheimer’s disease found in the brain [63,64]. Amyloid-beta peptides or tau Characterization and Application of Nanomaterials 2025, 8(1), 9917. 5 proteins in blood or cerebrospinal fluid can be detected by CNT/GO-based biosensors, allowing for the early diagnosis and tracking of Alzheimer’s disease progression. Similarly, Lewy bodies, which are aggregates of alpha-synuclein proteins, are a hallmark of Parkinson’s disease [65,66]. Figure 3 shows a schematic diagram for detecting neurological diseases using a biosensor based on CNT/GO. One possible diagnostic tool for Parkinson’s disease is biosensors based on carbon nanotubes and graphene oxide that detect alpha-synuclein in blood and cerebrospinal fluid. Initiating effective treatments, tracking disease progression, and enhancing patient outcomes depend on early and accurate diagnosis of neurological disorders [67–69]. The creation of biosensors based on carbon nanotubes and graphene oxide shows potential for the sensitive and selective detection of biomarkers linked to these diseases, which could lead to earlier diagnoses and more tailored treatments. Clinical translation of these biosensors for neurological disorder diagnosis will be advanced by ongoing research and validation studies [70–73]. Figure 3. Schematic diagram of neurological disease detection using CNT/GO based biosensor. 5. Glucose monitoring in diabetes management One exciting development in diabetes management is using biosensors based on carbon nanotubes and gonads (CNTs/GO). These biosensors provide an alternative to the invasive and time-consuming finger-prick test for monitoring glucose levels. They reduce patient pain and infection risk by detecting glucose in non-invasive bodily fluids such as saliva, sweat, or tears rather than blood [74–76]. Thanks to their distinct electrical characteristics, CNTs and GO make it possible to track glucose levels in real-time. Changes in electrical conductivity or other sensing mechanisms provide quick feedback on glucose fluctuations, enabling patients to make timely adjustments to their diabetes management. Wearable devices like smartwatches, patches, or contact lenses can incorporate these biosensors, allowing for more accessible and convenient continuous glucose monitoring [77,78]. Patients can benefit greatly by having their glucose profiles monitored continuously throughout the day. Glucose detection using CNT/GO-based biosensors is exact and sensitive— Figure 4 displays glucose monitoring for diabetes management. Accurate readings Characterization and Application of Nanomaterials 2025, 8(1), 9917. 6 are guaranteed by functionalizing the biosensor surface with molecules or enzymes specific to glucose, increasing sensitivity and selectivity [79,80]. Patients can then better manage their diabetes as a whole because they can control their blood glucose levels through dietary, exercise, and medication choices [81]. However, there are still challenges to address in the field. Researchers are actively working on improving sensor stability, calibration, and long-term performance to enhance the reliability, accuracy, and durability of CNT/GO-based biosensors [82,83]. Figure 4. Glucose monitoring in diabetes management. Standardization and regulatory approval are also vital for the widespread adoption of these biosensors in clinical practice. Despite these challenges, CNT/GO- based biosensors hold significant potential to transform diabetes management by providing non-invasive, real-time glucose monitoring [84,85]. Continued research and development efforts aim to overcome the current limitations and pave the way for their integration into routine clinical care. 6. Cardiovascular diseases detection The promising diagnosis of cardiovascular disease is CNT/GO-based biosensors. In this discipline, biosensors have many advantages. Accurately identifying cardiovascular disease biomarkers, including cardiac troponins, CRP, and BNP, which expose heart muscle damage, inflammation, and heart failure [86–88], they expose to diagnosis and track cardiovascular disease, CNT/GO-based biosensors measure biomarkers in blood or other non-invasive samples. Figure 5 shows cardiovascular disease detection methods. High sensitivity and selectivity are CNT/GO biosensor strengths [89,90]. They can detect low cardiovascular biomarker concentrations in complex biological matrices, enabling early cardiac event detection and precise disease progression monitoring. Early intervention and treatment may improve patient outcomes. The detection and monitoring of cardiovascular disease using CNT/GO-based biosensors from blood or saliva samples is easy and patient- friendly. Eliminating invasive treatments helps biosensors lower patient discomfort and improve monitoring [91–94]. Real-time tracking of CNT/GO-based biosensors would help management of cardiovascular diseases. Their dynamic character and rapid biomarker feedback help to enable quick medical interventions and treatment plan modifications related to cardiovascular diseases. Characterization and Application of Nanomaterials 2025, 8(1), 9917. 7 Figure 5. Detection technique of various cardiovascular disease. Moreover, the use of CNT/GO-based biosensors aligns with the principles of personalized medicine. By providing real-time monitoring and precise quantification of cardiovascular biomarkers, these biosensors facilitate tailored treatment plans and patient-specific interventions, optimizing patient outcomes. While ongoing research and development are still needed, CNT/GO-based biosensors hold great promise for the detection and monitoring of cardiovascular diseases. Continued collaboration among researchers, clinicians, and industry partners is essential to further refine the technology, establish robust validation protocols, and ensure the successful integration of these biosensors into routine clinical practice [95]. 7. Challenges and future directions In the field of CNT/GO-based biosensors, there are several challenges that need to be addressed for their widespread adoption, standardization, scalability, and commercialization. These challenges include: 7.1. Standardization of fabrication processes One of the key challenges is the standardization of fabrication processes for CNT/GO-based biosensors. Variations in synthesis methods, functionalization techniques, and sensor assembly can lead to inconsistent performance and hinder reproducibility. Establishing standardized protocols and quality control measures is crucial to ensure consistent and reliable biosensor performance across different laboratories and manufacturing facilities. 7.2. Sensor stability and longevity The stability and longevity of CNT/GO-based biosensors are important factors for their practical implementation. The performance of these biosensors should be maintained over extended periods, ensuring reliable and accurate detection of cardiovascular biomarkers. Addressing issues related to sensor degradation, biofouling, and long-term stability will be crucial for their successful commercialization. Characterization and Application of Nanomaterials 2025, 8(1), 9917. 8 7.3. Scalability and manufacturing processes For wide-scale adoption, CNT/GO-based biosensors need to be manufactured in large quantities using scalable and cost-effective processes. It is important to develop manufacturing techniques that can produce biosensors with consistent quality, while also ensuring affordability and accessibility for healthcare settings. 7.4. Integration with point-of-care devices The integration of CNT/GO-based biosensors with portable and user-friendly point-of-care devices is a significant challenge. These biosensors need to be compatible with miniaturized and low-power electronics, enabling their integration into handheld or wearable devices. This integration would facilitate on-site testing, remote monitoring, and real-time data analysis, thereby enhancing their clinical utility. Point-of-care (POC) cancer detection technologies include i-STAT for Prostate-specific antigen assessment, Lateral Flow Assays for visual biomarker detection, and wearable microneedle biosensors for noninvasive monitoring. 7.5. Regulatory and commercialization aspects The regulatory landscape and commercialization pathways for CNT/GO-based biosensors need to be addressed. Meeting regulatory requirements, obtaining necessary certifications, and navigating the complex commercialization process are critical steps for bringing these biosensors to the market and making them available for widespread clinical use. 7.6. Additional challenges Robust clinical validation studies are essential to demonstrate the efficacy, accuracy, and clinical relevance of CNT/GO-based biosensors for cardiovascular disease detection and monitoring. Collaboration between researchers, clinicians, and industry partners is crucial for conducting large-scale clinical trials, validating the biosensor performance, and refining the technology based on feedback from end- users. Future directions in the field of CNT/GO-based biosensors should focus on addressing these challenges. Collaborative efforts among researchers, regulatory agencies, and industry partners are necessary to establish standardized protocols, optimize manufacturing processes, ensure sensor stability, and navigate the regulatory and commercialization landscape. By overcoming these challenges, CNT/GO-based biosensors can become valuable tools for cardiovascular disease diagnosis and management in clinical settings. 8. Conclusion In conclusion, CNT/GO-based biosensors have shown significant potential in various areas of medical diagnosis, including cancer, infectious diseases, neurological disorders, diabetes management, and cardiovascular diseases. These biosensors offer advantages such as high sensitivity, selectivity, multiplexed detection, and real-time monitoring. They can detect specific biomarkers associated with different diseases, enabling early diagnosis, treatment monitoring, and Characterization and Application of Nanomaterials 2025, 8(1), 9917. 9 personalized medicine approaches. The non-invasive sampling methods and compatibility with portable devices make them suitable for point-of-care testing and resource-limited settings. However, further research and development are necessary to optimize their performance, validate their clinical utility, and integrate them into routine clinical practice. The field of biosensors is rapidly evolving, and staying updated with the latest scientific literature and research advancements is crucial for the most recent progress in CNT/GO-based biosensors for medical diagnosis. Conflict of interest: The authors declare no conflict of interest. References 1. Sabu C, Henna TK, Raphey VR, et al. Advanced biosensors for glucose and insulin. Biosensors and Bioelectronics. 2019; 141: 111201. doi: 10.1016/j.bios.2019.03.034 2. Pour GB, Ashourifar H, Aval LF, et al. CNTs-Supercapacitors: A Review of Electrode Nanocomposites Based on CNTs, Graphene, Metals, and Polymers. Symmetry. 2023; 15(6): 1179. doi: 10.3390/sym15061179 3. Hu Y, Lv S, Wan J, et al. Recent advances in nanomaterials for prostate cancer detection and diagnosis. Journal of Materials Chemistry B. 2022; 10(26): 4907-4934. doi: 10.1039/d2tb00448h 4. Santiago E, Poudyal SS, Shin SY, et al. Graphene Oxide Functionalized Biosensor for Detection of Stress-Related Biomarkers. Sensors. 2022; 22(2): 558. doi: 10.3390/s22020558 5. Karimi F, Karimi-Maleh H, Rouhi J, et al. Revolutionizing cancer monitoring with carbon-based electrochemical biosensors. Environmental Research. 2023; 239: 117368. doi: 10.1016/j.envres.2023.117368 6. Ma Z, Wang W, Xiong Y, et al. Carbon Micro/Nano Machining toward Miniaturized Device: Structural Engineering, Large‐ Scale Fabrication, and Performance Optimization. Small. 2024. doi: 10.1002/smll.202400179 7. Li X, Wang Y, Zhao Y, et al. Graphene Materials for Miniaturized Energy Harvest and Storage Devices. Small Structures. 2021; 3(1). doi: 10.1002/sstr.202100124 8. Reddy YVM, Shin JH, Palakollu VN, et al. Strategies, advances, and challenges associated with the use of graphene-based nanocomposites for electrochemical biosensors. Advances in Colloid and Interface Science. 2022; 304: 102664. doi: 10.1016/j.cis.2022.102664 9. Mazzaglia A, Piperno A. Carbon Nanomaterials for Therapy, Diagnosis and Biosensing. Nanomaterials. 2022; 12(9): 1597. doi: 10.3390/nano12091597 10. Pandey RR, Chusuei CC. Carbon Nanotubes, Graphene, and Carbon Dots as Electrochemical Biosensing Composites. Molecules. 2021; 26(21): 6674. doi: 10.3390/molecules26216674 11. Curcio M, Farfalla A, Saletta F, et al. Functionalized Carbon Nanostructures Versus Drug Resistance: Promising Scenarios in Cancer Treatment. Molecules. 2020; 25(9): 2102. doi: 10.3390/molecules25092102 12. Alagumalai K, Musuvadhi Babulal S, Chen SM, et al. Electrochemical evaluation of naproxen through Au@f-CNT/GO nanocomposite in environmental water and biological samples. Journal of Industrial and Engineering Chemistry. 2021; 104: 32-42. doi: 10.1016/j.jiec.2021.08.009 13. Lee M, Kim MC, Lee JY. Nanomaterial-Based Electrically Conductive Hydrogels for Cardiac Tissue Repair. International Journal of Nanomedicine. 2022; 17: 6181-6200. doi: 10.2147/ijn.s386763 14. Nazare A, Pal K, Maji S. Electrochemical biosensors. Food, Medical, and Environmental Applications of Polysaccharides. 2021; 403-441. doi: 10.1016/b978-0-12-819239-9.00011-7 15. Reanpang P, Mool-am-kha P, Upan J, et al. A novel flow injection amperometric sensor based on carbon black and graphene oxide modified screen-printed carbon electrode for highly sensitive determination of uric acid. Talanta. 2021; 232: 122493. doi: 10.1016/j.talanta.2021.122493 16. Danielsen PH, Bendtsen KM, Knudsen KB, et al. Nanomaterial- and shape-dependency of TLR2 and TLR4 mediated signaling following pulmonary exposure to carbonaceous nanomaterials in mice. Particle and Fibre Toxicology. 2021; 18(1). doi: 10.1186/s12989-021-00432-z 17. Alsalme A. CNTs intercalated graphene oxide with interspersed MoS2 nanoparticles for selective preconcentration and determination of trace Hg (II) ions. Food Chemistry. 2023; 428: 136777. doi: 10.1016/j.foodchem.2023.136777 Characterization and Application of Nanomaterials 2025, 8(1), 9917. 10 18. Shahazi R, Majumdar S, Saddam AI, et al. Carbon nanomaterials for biomedical applications: A comprehensive review. Nano Carbons. 2023; 1(1): 448. doi: 10.59400/n-c.v1i1.448 19. Biranje PM, Prakash J, Alexander R, et al. Ultra-fast detection and monitoring of cancerous volatile organic compounds in environment using graphene oxide modified CNT aerogel hybrid gas sensor. Talanta Open. 2022; 6: 100148. doi: 10.1016/j.talo.2022.100148 20. Kanagavalli P, Eissa S. Redox probe-free electrochemical immunosensor utilizing electropolymerized melamine on reduced graphene oxide for the point-of-care diagnosis of gastric cancer. Talanta. 2024; 270: 125549. doi: 10.1016/j.talanta.2023.125549 21. Gholami A, Mousavi SM, Masoumzadeh R, et al. Advanced Theranostic Strategies for Viral Hepatitis Using Carbon Nanostructures. Micromachines. 2023; 14(6): 1185. doi: 10.3390/mi14061185 22. Wang X, Tang Y, Cheng S, et al. Polydimethylsiloxane Composite Sponge Decorated with Graphene/Carbon Nanotube via Polydopamine for Multifunctional Applications. ACS Applied Polymer Materials. 2023; 5(8): 6022-6033. doi: 10.1021/acsapm.3c00718 23. Jeong H, Nguyen DM, Lee MS, et al. N-doped graphene-carbon nanotube hybrid networks attaching with gold nanoparticles for glucose non-enzymatic sensor. Materials Science and Engineering: C. 2018; 90: 38-45. doi: 10.1016/j.msec.2018.04.039 24. Pasinszki T, Krebsz M, Tung TT, et al. Carbon Nanomaterial Based Biosensors for Non-Invasive Detection of Cancer and Disease Biomarkers for Clinical Diagnosis. Sensors. 2017; 17(8): 1919. doi: 10.3390/s17081919 25. Fu L, Zheng Y, Li X, et al. Strategies and Applications of Graphene and Its Derivatives-Based Electrochemical Sensors in Cancer Diagnosis. Molecules. 2023; 28(18): 6719. doi: 10.3390/molecules28186719 26. Son MH, Park SW, Sagong HY, et al. Recent Advances in Electrochemical and Optical Biosensors for Cancer Biomarker Detection. BioChip Journal. 2022; 17(1): 44-67. doi: 10.1007/s13206-022-00089-6 27. Barhoum A, Altintas Z, Devi KSS, et al. Electrochemiluminescence biosensors for detection of cancer biomarkers in biofluids: Principles, opportunities, and challenges. Nano Today. 2023; 50: 101874. doi: 10.1016/j.nantod.2023.101874 28. Xue VW, Wong CSC, Cho WCS. Early detection and monitoring of cancer in liquid biopsy: advances and challenges. Expert Review of Molecular Diagnostics. 2019; 19(4): 273-276. doi: 10.1080/14737159.2019.1583104 29. Kumar P, Gupta S, Das BC. Saliva as a potential non-invasive liquid biopsy for early and easy diagnosis/prognosis of head and neck cancer. Translational Oncology. 2024; 40: 101827. doi: 10.1016/j.tranon.2023.101827 30. Li L, Jiang H, Zeng B, et al. Liquid biopsy in lung cancer. Clinica Chimica Acta. 2024; 554: 117757. doi: 10.1016/j.cca.2023.117757 31. Mohan V, Pal A, Trabelsi Y, et al. Tuning Sensitivity of Surface Plasmon Resonance Sensor Based on Bi-metallic, Antimonene, and Carbon Nanotube for Tuberculosis Detection. Plasmonics. 2024. doi: 10.1007/s11468-024-02268-7 32. Sha R, Badhulika S. Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review. Microchimica Acta. 2020; 187(3). doi: 10.1007/s00604-020-4152-8 33. Kumar S, Wang Z, Zhang W, et al. Optically Active Nanomaterials and Its Biosensing Applications—A Review. Biosensors. 2023; 13(1): 85. doi: 10.3390/bios13010085 34. Behyar MB, Mirzaie A, Hasanzadeh M, et al. Advancements in biosensing of hormones: Recent progress and future trends. TrAC Trends in Analytical Chemistry. 2024; 173: 117600. doi: 10.1016/j.trac.2024.117600 35. Shahzad K, Mardare AI, Hassel AW. Accelerating materials discovery: combinatorial synthesis, high-throughput characterization, and computational advances. Science and Technology of Advanced Materials: Methods. 2024; 4(1). doi: 10.1080/27660400.2023.2292486 36. Mitchell KR, Esene JE, Woolley AT. Advances in multiplex electrical and optical detection of biomarkers using microfluidic devices. Analytical and Bioanalytical Chemistry. 2021; 414(1): 167-180. doi: 10.1007/s00216-021-03553-8 37. Almeida EMF, De Souza D. Current electroanalytical approaches in the carbamates and dithiocarbamates determination. Food Chemistry. 2023; 417: 135900. doi: 10.1016/j.foodchem.2023.135900 38. Venkateswara Raju C, Hwan Cho C, Mohana Rani G, et al. Emerging insights into the use of carbon-based nanomaterials for the electrochemical detection of heavy metal ions. Coordination Chemistry Reviews. 2023; 476: 214920. doi: 10.1016/j.ccr.2022.214920 39. Kokabi M, Tahir MN, Singh D, et al. Advancing Healthcare: Synergizing Biosensors and Machine Learning for Early Cancer Diagnosis. Biosensors. 2023; 13(9): 884. doi: 10.3390/bios13090884 Characterization and Application of Nanomaterials 2025, 8(1), 9917. 11 40. Rasheed S, Kanwal T, Ahmad N, et al. Advances and challenges in portable optical biosensors for onsite detection and point- of-care diagnostics. TrAC Trends in Analytical Chemistry. 2024; 173: 117640. doi: 10.1016/j.trac.2024.117640 41. Maity A, Milyutin Y, Maidantchik VD, et al. Ultra‐Fast Portable and Wearable Sensing Design for Continuous and Wide‐ Spectrum Molecular Analysis and Diagnostics. Advanced Science. 2022; 9(34). doi: 10.1002/advs.202203693 42. Purohit B, Kumar A, Mahato K, et al. Smartphone-assisted personalized diagnostic devices and wearable sensors. Current Opinion in Biomedical Engineering. 2020; 13: 42-50. doi: 10.1016/j.cobme.2019.08.015 43. Shariati L, Esmaeili Y, Rahimmanesh I, et al. Advances in nanobased platforms for cardiovascular diseases: Early diagnosis, imaging, treatment, and tissue engineering. Environmental Research. 2023; 238: 116933. doi: 10.1016/j.envres.2023.116933 44. Kang MS, Lee H, Jeong SJ, et al. State of the Art in Carbon Nanomaterials for Photoacoustic Imaging. Biomedicines. 2022; 10(6): 1374. doi: 10.3390/biomedicines10061374 45. Sharma A, Panchal D, Prakash O, et al. Fabrication of nanomaterials for biomedical imaging. Advanced Nanomaterials for Point of Care Diagnosis and Therapy. 2022; 81-100. doi: 10.1016/b978-0-323-85725-3.00023-4 46. Jeong S, Yoo SW, Kim HJ, et al. Recent Progress on Molecular Photoacoustic Imaging with Carbon-Based Nanocomposites. Materials. 2021; 14(19): 5643. doi: 10.3390/ma14195643 47. Abedi-Firoozjah R, Ebdali H, Soltani M, et al. Nanomaterial-based sensors for the detection of pathogens and microbial toxins in the food industry; a review on recent progress. Coordination Chemistry Reviews. 2024; 500: 215545. doi: 10.1016/j.ccr.2023.215545 48. Alshemary AZ, Motameni A, Evis Z. Biomedical applications of metal oxide–carbon composites. Metal Oxide-Carbon Hybrid Materials. 2022; 371-405. doi: 10.1016/b978-0-12-822694-0.00004-1 49. Hsiao YS, Tseng HS, Yen SC, et al. Three-dimensional conductive PEDOT: PSS-based mixed-matrix scaffolds for efficient removal of protein-bound uremic toxins and high-throughput collection of circulating tumor cells. Chemical Engineering Journal. 2023; 453: 139782. doi: 10.1016/j.cej.2022.139782 50. Aggarwal C, Rolfo CD, Oxnard GR, et al. Strategies for the successful implementation of plasma-based NSCLC genotyping in clinical practice. Nature Reviews Clinical Oncology. 2020; 18(1): 56-62. doi: 10.1038/s41571-020-0423-x 51. Sengupta J, Hussain CM. CNT and Graphene-Based Transistor Biosensors for Cancer Detection: A Review. Biomolecules. 2023; 13(7): 1024. doi: 10.3390/biom13071024 52. Kaur Billing B. Carbon Nanotubes and its Potential Application in Sensing. ChemistrySelect. 2021; 6(36): 9571-9590. doi: 10.1002/slct.202102636 53. Sivakumar R, Lee NY. Recent advances in airborne pathogen detection using optical and electrochemical biosensors. Analytica Chimica Acta. 2022; 1234: 340297. doi: 10.1016/j.aca.2022.340297 54. Wang T, Wang M, Wang J, et al. A chemically mediated artificial neuron. Nature Electronics. 2022; 5(9): 586-595. doi: 10.1038/s41928-022-00803-0 55. Ji M, Zhong Y, Li M, et al. Determination of acetic acid in enzymes based on the cataluminescence activity of graphene oxide–supported carbon nanotubes coated with NiMn layered double hydroxides. Microchimica Acta. 2023; 190(6). doi: 10.1007/s00604-023-05808-w 56. Heydari-Bafrooei E, Ensafi AA. Nanomaterials-based biosensing strategies for biomarkers diagnosis, a review. Biosensors and Bioelectronics: X. 2023; 13: 100245. doi: 10.1016/j.biosx.2022.100245 57. Chen Z, Yang Z, Yu T, et al. Sandwich-structured flexible PDMS@graphene multimodal sensors capable of strain and temperature monitoring with superlative temperature range and sensitivity. Composites Science and Technology. 2023; 232: 109881. doi: 10.1016/j.compscitech.2022.109881 58. Chellachamy Anbalagan A, Sawant SN. Redox-labelled detection probe enabled immunoassay for simultaneous detection of multiple cancer biomarkers. Microchimica Acta. 2023; 190(3). doi: 10.1007/s00604-023-05663-9 59. Chen F, Hu Q, Li H, et al. Multiplex Detection of Infectious Diseases on Microfluidic Platforms. Biosensors. 2023; 13(3): 410. doi: 10.3390/bios13030410 60. Jalilinejad N, Rabiee M, Baheiraei N, et al. Electrically conductive carbon‐based (bio)‐nanomaterials for cardiac tissue engineering. Bioengineering & Translational Medicine. 2022; 8(1). doi: 10.1002/btm2.10347 61. Li J, Chang H, Zhang N, et al. Recent advances in enzyme inhibition based-electrochemical biosensors for pharmaceutical and environmental analysis. Talanta. 2023; 253: 124092. doi: 10.1016/j.talanta.2022.124092 Characterization and Application of Nanomaterials 2025, 8(1), 9917. 12 62. Zieliński A, Majkowska-Marzec B. Whether Carbon Nanotubes Are Capable, Promising, and Safe for Their Application in Nervous System Regeneration. Some Critical Remarks and Research Strategies. Coatings. 2022; 12(11): 1643. doi: 10.3390/coatings12111643 63. Elkins M, Jain N, Tükel Ç. The menace within: bacterial amyloids as a trigger for autoimmune and neurodegenerative diseases. Current Opinion in Microbiology. 2024; 79: 102473. doi: 10.1016/j.mib.2024.102473 64. Schreiner TG, Schreiner OD, Adam M, et al. The Roles of the Amyloid Beta Monomers in Physiological and Pathological Conditions. Biomedicines. 2023; 11(5): 1411. doi: 10.3390/biomedicines11051411 65. Saramowicz K, Siwecka N, Galita G, et al. Alpha-Synuclein Contribution to Neuronal and Glial Damage in Parkinson’s Disease. International Journal of Molecular Sciences. 2023; 25(1): 360. doi: 10.3390/ijms25010360 66. Calabresi P, Mechelli A, Natale G, et al. Alpha-synuclein in Parkinson’s disease and other synucleinopathies: from overt neurodegeneration back to early synaptic dysfunction. Cell Death & Disease. 2023; 14(3). doi: 10.1038/s41419-023-05672-9 67. Bagree G, De Silva O, Liyanage PD, et al. α-synuclein as a promising biomarker for developing diagnostic tools against neurodegenerative synucleionopathy disorders. TrAC Trends in Analytical Chemistry. 2023; 159: 116922. doi: 10.1016/j.trac.2023.116922 68. Chen R, Gu X, Wang X. α-Synuclein in Parkinson’s disease and advances in detection. Clinica Chimica Acta. 2022; 529: 76- 86. doi: 10.1016/j.cca.2022.02.006 69. Karaboğa MNS, Sezgintürk MK. Biosensor approaches on the diagnosis of neurodegenerative diseases: Sensing the past to the future. Journal of Pharmaceutical and Biomedical Analysis. 2022; 209: 114479. doi: 10.1016/j.jpba.2021.114479 70. Campuzano S, Pedrero M, Yáñez-Sedeño P, et al. New challenges in point of care electrochemical detection of clinical biomarkers. Sensors and Actuators B: Chemical. 2021; 345: 130349. doi: 10.1016/j.snb.2021.130349 71. Achi F, Attar AM, Ait Lahcen A. Electrochemical nanobiosensors for the detection of cancer biomarkers in real samples: Trends and challenges. TrAC Trends in Analytical Chemistry. 2024; 170: 117423. doi: 10.1016/j.trac.2023.117423 72. Dhara K, Mahapatra DR. Review on electrochemical sensing strategies for C-reactive protein and cardiac troponin I detection. Microchemical Journal. 2020; 156: 104857. doi: 10.1016/j.microc.2020.104857 73. Wang Y, Li B, Tian T, et al. Advanced on-site and in vitro signal amplification biosensors for biomolecule analysis. TrAC Trends in Analytical Chemistry. 2022; 149: 116565. doi: 10.1016/j.trac.2022.116565 74. Panda P, Pal K, Chakroborty S. Smart advancements of key challenges in graphene-assembly glucose sensor technologies: A mini review. Materials Letters. 2021; 303: 130508. doi: 10.1016/j.matlet.2021.130508 75. Lee GS, Kim JG, Kim JT, et al. 2D Materials Beyond Post‐AI Era: Smart Fibers, Soft Robotics, and Single Atom Catalysts. Advanced Materials. 2023; 36(11). doi: 10.1002/adma.202307689 76. Ates HC, Brunauer A, von Stetten F, et al. Integrated Devices for Non‐Invasive Diagnostics. Advanced Functional Materials. 2021; 31(15). doi: 10.1002/adfm.202010388 77. Teymourian H, Barfidokht A, Wang J. Electrochemical glucose sensors in diabetes management: an updated review (2010– 2020). Chemical Society Reviews. 2020; 49(21): 7671-7709. doi: 10.1039/d0cs00304b 78. Chang T, Li H, Zhang N, et al. Highly integrated watch for noninvasive continual glucose monitoring. Microsystems & Nanoengineering. 2022; 8(1). doi: 10.1038/s41378-022-00355-5 79. Banerjee R, Gebrekrstos A, Orasugh JT, et al. Nanocarbon-Containing Polymer Composite Foams: A Review of Systems for Applications in Electromagnetic Interference Shielding, Energy Storage, and Piezoresistive Sensors. Industrial & Engineering Chemistry Research. 2023; 62(18): 6807-6842. doi: 10.1021/acs.iecr.3c00089 80. Hao ESJ, Zhang N, Zhu Q, et al. Terahertz Attenuated Total Reflection Spectral Response and Signal Enhancement via Plasmonic Enhanced Sensor for Eye Drop Detection. Sensors. 2023; 23(19): 8290. doi: 10.3390/s23198290 81. Yang L, Wang J, Han L, et al. Effect of H2H management mode on blood sugar control and living ability in patients with schizophrenia and type 2 diabetes mellitus. American Journal of Translational Research. 2023; 15(1): 223-232. 82. Zhao B, Sivasankar VS, Subudhi SK, et al. Printed Carbon Nanotube-Based Humidity Sensors Deployable on Surfaces of Widely Varying Curvatures. ACS Applied Nano Materials. 2023; 6(2): 1459-1474. doi: 10.1021/acsanm.2c05423 83. Demir E, Aydogdu Ozdogan N, Olcer M. Nanostructured electrochemical biosensors for estimation of pharmaceutical drugs. Novel Nanostructured Materials for Electrochemical Bio-Sensing Applications. 2024; 379-428. doi: 10.1016/b978-0-443- 15334-1.00014-6 84. Bolla AS, Priefer R. Blood glucose monitoring- an overview of current and future non-invasive devices. Diabetes & Metabolic Syndrome: Clinical Research & Reviews. 2020; 14(5): 739-751. doi: 10.1016/j.dsx.2020.05.016 Characterization and Application of Nanomaterials 2025, 8(1), 9917. 13 85. Laha S, Rajput A, Laha SS, et al. A Concise and Systematic Review on Non-Invasive Glucose Monitoring for Potential Diabetes Management. Biosensors. 2022; 12(11): 965. doi: 10.3390/bios12110965 86. Chimene D, Alge DL, Gaharwar AK. Two‐Dimensional Nanomaterials for Biomedical Applications: Emerging Trends and Future Prospects. Advanced Materials. 2015; 27(45): 7261-7284. doi: 10.1002/adma.201502422 87. Shahazi R, Saddam AI, Islam MR, et al. Recent progress in Nanomaterial based biosensors for the detection of cancer biomarkers in human fluids. Nano Carbons. 2024; 2(2): 1254. doi: 10.59400/n-c.v2i2.1254 88. Morsink M, Severino P, Luna-Ceron E, et al. Effects of electrically conductive nano-biomaterials on regulating cardiomyocyte behavior for cardiac repair and regeneration. Acta Biomaterialia. 2022; 139: 141-156. doi: 10.1016/j.actbio.2021.11.022 89. Gungordu N, Borekci S, Çulpan HC, et al. Effect of Continuous Positive Airway Pressure Therapy on Pro-Brain Natriuretic Peptide, C-Reactive Protein, Homocysteine, and Cardiac Markers in Patients with Obstructive Sleep Apnea. Thoracic Research and Practice. 2023; 24(2): 76-84. doi: 10.5152/thoracrespract.2023.22130 90. Cui Y, Zhang S, Zhou X, et al. Silica nanochannel array on co-electrodeposited graphene-carbon nanotubes 3D composite film for antifouling detection of uric acid in human serum and urine samples. Microchemical Journal. 2023; 190: 108632. doi: 10.1016/j.microc.2023.108632 91. Zhang Q, Liu Y, Yang G, et al. Recent advances in protein hydrogels: From design, structural and functional regulations to healthcare applications. Chemical Engineering Journal. 2023; 451: 138494. doi: 10.1016/j.cej.2022.138494 92. Mani V, Durmus C, Khushaim W, et al. Multiplexed sensing techniques for cardiovascular disease biomarkers - A review. Biosensors and Bioelectronics. 2022; 216: 114680. doi: 10.1016/j.bios.2022.114680 93. John RV, Devasiya T, V.R. N, et al. Cardiovascular biomarkers in body fluids: progress and prospects in optical sensors. Biophysical Reviews. 2022; 14(4): 1023-1050. doi: 10.1007/s12551-022-00990-2 94. Du X, Su X, Zhang W, et al. Progress, Opportunities, and Challenges of Troponin Analysis in the Early Diagnosis of Cardiovascular Diseases. Analytical Chemistry. 2021; 94(1): 442-463. doi: 10.1021/acs.analchem.1c04476 95. Majumdar S, Shahazi R, Saddam AI, et al. Carbon nanomaterial-based electrochemical sensor in biomedical application, a comprehensive study. Characterization and Application of Nanomaterials. 2024; 7(1): 4654. doi: 10.24294/can.v7i1.4654