TY - JOUR
T1 - Engineered 2D materials for optical bioimaging and path toward therapy and tissue engineering
AU - Ranasinghe, Jeewan C.
AU - Jain, Arpit
AU - Wu, Wenjing
AU - Zhang, Kunyan
AU - Wang, Ziyang
AU - Huang, Shengxi
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to The Materials Research Society.
PY - 2022/5/28
Y1 - 2022/5/28
N2 - Two-dimensional (2D) layered materials as a new class of nanomaterial are characterized by a list of exotic properties. These layered materials are investigated widely in several biomedical applications. A comprehensive understanding of the state-of-the-art developments of 2D materials designed for multiple nanoplatforms will aid researchers in various fields to broaden the scope of biomedical applications. Here, we review the advances in 2D material-based biomedical applications. First, we introduce the classification and properties of 2D materials. Next, we summarize surface and structural engineering methods of 2D materials where we discuss surface functionalization, defect, and strain engineering, and creating heterostructures based on layered materials for biomedical applications. After that, we discuss different biomedical applications. Then, we briefly introduced the emerging role of machine learning (ML) as a technological advancement to boost biomedical platforms. Finally, the current challenges, opportunities, and prospects on 2D materials in biomedical applications are discussed. Graphical abstract: [Figure not available: see fulltext.].
AB - Two-dimensional (2D) layered materials as a new class of nanomaterial are characterized by a list of exotic properties. These layered materials are investigated widely in several biomedical applications. A comprehensive understanding of the state-of-the-art developments of 2D materials designed for multiple nanoplatforms will aid researchers in various fields to broaden the scope of biomedical applications. Here, we review the advances in 2D material-based biomedical applications. First, we introduce the classification and properties of 2D materials. Next, we summarize surface and structural engineering methods of 2D materials where we discuss surface functionalization, defect, and strain engineering, and creating heterostructures based on layered materials for biomedical applications. After that, we discuss different biomedical applications. Then, we briefly introduced the emerging role of machine learning (ML) as a technological advancement to boost biomedical platforms. Finally, the current challenges, opportunities, and prospects on 2D materials in biomedical applications are discussed. Graphical abstract: [Figure not available: see fulltext.].
UR - http://www.scopus.com/inward/record.url?scp=85130480611&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130480611&partnerID=8YFLogxK
U2 - 10.1557/s43578-022-00591-5
DO - 10.1557/s43578-022-00591-5
M3 - Article
C2 - 35615304
AN - SCOPUS:85130480611
SN - 0884-2914
VL - 37
SP - 1689
EP - 1713
JO - Journal of Materials Research
JF - Journal of Materials Research
IS - 10
ER -