Podrobná bibliografia
| Názov: |
Electrochemical Biosensors for Cancer Biomarker Detection: Basic Concept, Design Strategy and Cutting‐Edge Development. |
| Autori: |
Karim, Md Mobarok, Lasker, Tahera |
| Zdroj: |
Electrochemical Science Advances; Oct2025, Vol. 5 Issue 5, p1-32, 32p |
| Predmety: |
EARLY detection of cancer, BIOMARKERS, SYMPTOMS, SURFACES (Technology), SENSITIVITY & specificity (Statistics), CONCEPTUAL design, BIOSENSORS, COST effectiveness |
| Abstrakt: |
Cancer is a result of uncontrolled cell growth with the potential to damage or spread to another part of the body. It is the deadliest disease in the world; therefore, rapid and sensitive detection is essential to fight it. In the past few decades, many diagnosis tools have been developed to detect cancer and monitor therapy progress. Among them, electrochemical biosensor showed the promising significance due to its capability of early detection, selectivity, sensitivity, flexibility, portability and cost‐effectiveness. The performance of the electrochemical sensor depends on the sensor surface engineering as well as development techniques based on the types of biomarkers. This review covers the importance of cancer diagnosis, the basic concept of the electrochemical biosensor, design strategy of biosensors including surface engineering and the state‐of‐the‐art for different types of biomarker detection. Additionally, the limitations and advantages of different types of biosensors were parallelly explained. Finally, the future direction for the advancement of electrochemical biosensor is comprehensively discussed. The author trusts that the insights thus explained will lead to further research in the scholarly community aimed at expanding theoretical knowledge and pragmatic innovation in electrochemical sensing devices for cancer detection. Such research findings are anticipated to facilitate high‐end developments both in the theoretical area and the application. [ABSTRACT FROM AUTHOR] |
|
Copyright of Electrochemical Science Advances is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáza: |
Complementary Index |