Version 1
: Received: 11 January 2024 / Approved: 12 January 2024 / Online: 15 January 2024 (02:28:18 CET)
How to cite:
Singh, A. Bioengineered Platforms for Detection Of Group-1 Carcinogenic Metals. Preprints2024, 2024011006. https://doi.org/10.20944/preprints202401.1006.v1
Singh, A. Bioengineered Platforms for Detection Of Group-1 Carcinogenic Metals. Preprints 2024, 2024011006. https://doi.org/10.20944/preprints202401.1006.v1
Singh, A. Bioengineered Platforms for Detection Of Group-1 Carcinogenic Metals. Preprints2024, 2024011006. https://doi.org/10.20944/preprints202401.1006.v1
APA Style
Singh, A. (2024). Bioengineered Platforms for Detection Of Group-1 Carcinogenic Metals. Preprints. https://doi.org/10.20944/preprints202401.1006.v1
Chicago/Turabian Style
Singh, A. 2024 "Bioengineered Platforms for Detection Of Group-1 Carcinogenic Metals" Preprints. https://doi.org/10.20944/preprints202401.1006.v1
Abstract
Studies at the molecular, systemic, and epidemiological levels have shown that chronic metal exposure is linked to significant health consequences, including cancer, affecting hundreds of millions worldwide. Subtle and convoluted mechanisms underline metals' toxicity and carcinogenicity. The use of sensors for carcinogenic metals' trace detection is on the rise due to their selectivity, simplicity, and affordability. Biotechnology and microelectronics in the development of sensors have grown complementarily in recent years. This study offers a comprehensive overview of current research and advancements in developing sensors for detecting carcinogenic metals. Here, we have focussed on the developed biosensor platforms for group 1 carcinogens, i.e., arsenic, nickel, cadmium, chromium, and beryllium, along with their brief roles in human carcinogenesis. This review also looks at the importance of sensing such metal exposure in humans from a larger perspective, hoping to influence future research toward early prevention and treatment of illnesses like cancer.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.