Recent progress in Nanomaterial based biosensors for the detection of cancer biomarkers in human fluids

  • Razu Shahazi Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh
  • Amirul Islam Saddam Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh
  • Md Rakibul Islam Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh
  • Mohammed Muzibur Rahman Center of Excellence for Advanced Materials Research (CEAMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia; Chemistry Department, King Abdulaziz University, Faculty of Science, Jeddah 21589, Saudi Arabia
  • Giti Paimard Laboratory of Nanoscale Biosensing and Bioimaging (NBAB), School of Ophthalmology and Optometry, School of Biomedical Engineering, State Key Laboratory of Ophthalmology Optometry, and Vision Science, Wenzhou Medical University, Wenzhou 325027, China
  • Ajoy Kumer Department of Chemistry, College of Arts and Sciences, IUBAT-International University of Business Agriculture and Technology, Dhaka 1230, Bangladesh
  • Md. Mahmud Alam Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh; Center of Excellence for Advanced Materials Research (CEAMR), King Abdulaziz University, Jeddah 21589, Saudi Arabia
  • Md. Kawsar Mahamud Department of Chemical Engineering, Z. H. Sikder University of Science and Technology (ZHSUST), Shariatpur 8024, Bangladesh
Ariticle ID: 1254
82 Views, 17 PDF Downloads
DOI: https://doi.org/10.59400/n-c.v2i2.1254
Keywords: biosensor; cancer biomarker; sensitivity; selectivity; multiplexed detection; liquid biopsies; artificial intelligence

Abstract

Cancer is a global health challenge, and early detection is crucial for effective treatment to improve patient outcomes. In recent years, nanomaterial-based biosensors have emerged as powerful tools for the detection of cancer biomarkers in human fluids. This article highlights the recent progress in biosensor technology for the detection of cancer biomarkers, focusing on advancements in sensitivity, selectivity, multiplexed detection, liquid biopsies, point-of-care testing, wearable biosensors, and integration with artificial intelligence (AI). Recent advancements have significantly improved the sensitivity and selectivity of biosensors, allowing for the detection of low concentrations of cancer biomarkers in complex biological samples. Novel sensing technologies, such as nanomaterial-based sensors and aptamer-based sensors, have played a crucial role in enhancing biosensor performance. Multiplexed biosensors have the ability to simultaneously detect multiple cancer biomarkers, providing comprehensive diagnostic information. This capability is particularly valuable for accurate cancer diagnosis and prognosis. Liquid biopsies, which involve the detection of cancer biomarkers in circulating tumor cells, cell-free DNA, or exosomes present in body fluids, have gained considerable attention. Biosensors have played a pivotal role in the development of liquid biopsy technologies, offering non-invasive and real-time monitoring of cancer progression, treatment response, and the emergence of drug resistance. Integration of biosensors with AI algorithms has shown great potential. AI can analyze and interpret biosensor data, identifying patterns, correlations, and biomarker signatures that may be difficult to detect with traditional methods.

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Published
2024-07-18
How to Cite
Shahazi, R., Saddam, A. I., Islam, M. R., Rahman, M. M., Paimard, G., Kumer, A., Alam, M. M., & Mahamud, M. K. (2024). Recent progress in Nanomaterial based biosensors for the detection of cancer biomarkers in human fluids. Nano Carbons, 2(2), 1254. https://doi.org/10.59400/n-c.v2i2.1254
Issue
Vol. 2 No. 2 (2024)
Section
Review

Copyright (c) 2024 Razu Shahazi, Amirul Islam Saddam, Md Rakibul Islam, Mohammed Muzibur Rahman, Giti Paimard, Ajoy Kumer, Md. Mahmud Alam, Md. Kawsar Mahamud

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