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Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. / Чучина, Виктория Александровна; Zhang, Yuna; Xue, Cuili; Ганеев, Александр Ахатович; Кистенев, Юрий В.; Губаль, Анна Романовна; Jin, Han; Cui, Daxiang.

In: Nano Research, 03.09.2022, p. 1-12.

Research output: Contribution to journal › Review article › peer-review

Harvard

Чучина, ВА, Zhang, Y, Xue, C, Ганеев, АА, Кистенев, ЮВ, Губаль, АР, Jin, H & Cui, D 2022, 'Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection.', Nano Research, pp. 1-12. https://doi.org/10.1007/s12274-022-4914-1

APA

Чучина, В. А., Zhang, Y., Xue, C., Ганеев, А. А., Кистенев, Ю. В., Губаль, А. Р., Jin, H., & Cui, D. (2022). Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. Nano Research, 1-12. https://doi.org/10.1007/s12274-022-4914-1

Vancouver

Чучина ВА, Zhang Y, Xue C, Ганеев АА, Кистенев ЮВ, Губаль АР et al. Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. Nano Research. 2022 Sep 3;1-12. https://doi.org/10.1007/s12274-022-4914-1

Author

Чучина, Виктория Александровна ; Zhang, Yuna ; Xue, Cuili ; Ганеев, Александр Ахатович ; Кистенев, Юрий В. ; Губаль, Анна Романовна ; Jin, Han ; Cui, Daxiang. / Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection. In: Nano Research. 2022 ; pp. 1-12.

BibTeX

@article{75b6352c399c43239def81b1504f468d,
title = "Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection.",
abstract = "Metal-organic frameworks (MOFs) have attracted widespread interest due to their unique and unprecedented advantages in microstructures and properties. Besides, surface-enhanced Raman scattering (SERS) technology has also rapidly developed into a powerful fingerprint spectroscopic technique that can provide rapid, non-invasive, non-destructive, and ultra-sensitive detection, even down to single molecular level. Consequently, a considerable amount of researchers combined MOFs with the SERS technique to further improve the sensing performance and broaden the applications of SERS substrates. Herein, representative synthesis strategies of MOFs to fabricate SERS-active substrates are summarized and their applications in ultra-sensitive biomedical trace detection are also reviewed. Besides, relative barriers, advantages, disadvantages, future trends, and prospects are particularly discussed to give guidance to relevant researchers.",
keywords = "biomedical trace detection, metal-organic framework (MOF), surface-enhanced Raman scattering (SERS), synthesis strategy",
author = "Чучина, {Виктория Александровна} and Yuna Zhang and Cuili Xue and Ганеев, {Александр Ахатович} and Кистенев, {Юрий В.} and Губаль, {Анна Романовна} and Han Jin and Daxiang Cui",
note = "Publisher Copyright: {\textcopyright} 2022, Tsinghua University Press.",
year = "2022",
month = sep,
day = "3",
doi = "10.1007/s12274-022-4914-1",
language = "English",
pages = "1--12",
journal = "Nano Research",
issn = "1998-0124",
publisher = "TSINGHUA UNIV PRESS",

}

RIS

TY - JOUR

T1 - Metal-organic frameworks based surface-enhanced Raman spectroscopy technique for ultra-sensitive biomedical trace detection.

AU - Чучина, Виктория Александровна

AU - Zhang, Yuna

AU - Xue, Cuili

AU - Ганеев, Александр Ахатович

AU - Кистенев, Юрий В.

AU - Губаль, Анна Романовна

AU - Jin, Han

AU - Cui, Daxiang

N1 - Publisher Copyright: © 2022, Tsinghua University Press.

PY - 2022/9/3

Y1 - 2022/9/3

N2 - Metal-organic frameworks (MOFs) have attracted widespread interest due to their unique and unprecedented advantages in microstructures and properties. Besides, surface-enhanced Raman scattering (SERS) technology has also rapidly developed into a powerful fingerprint spectroscopic technique that can provide rapid, non-invasive, non-destructive, and ultra-sensitive detection, even down to single molecular level. Consequently, a considerable amount of researchers combined MOFs with the SERS technique to further improve the sensing performance and broaden the applications of SERS substrates. Herein, representative synthesis strategies of MOFs to fabricate SERS-active substrates are summarized and their applications in ultra-sensitive biomedical trace detection are also reviewed. Besides, relative barriers, advantages, disadvantages, future trends, and prospects are particularly discussed to give guidance to relevant researchers.

AB - Metal-organic frameworks (MOFs) have attracted widespread interest due to their unique and unprecedented advantages in microstructures and properties. Besides, surface-enhanced Raman scattering (SERS) technology has also rapidly developed into a powerful fingerprint spectroscopic technique that can provide rapid, non-invasive, non-destructive, and ultra-sensitive detection, even down to single molecular level. Consequently, a considerable amount of researchers combined MOFs with the SERS technique to further improve the sensing performance and broaden the applications of SERS substrates. Herein, representative synthesis strategies of MOFs to fabricate SERS-active substrates are summarized and their applications in ultra-sensitive biomedical trace detection are also reviewed. Besides, relative barriers, advantages, disadvantages, future trends, and prospects are particularly discussed to give guidance to relevant researchers.

KW - biomedical trace detection

KW - metal-organic framework (MOF)

KW - surface-enhanced Raman scattering (SERS)

KW - synthesis strategy

UR - http://www.scopus.com/inward/record.url?scp=85137432898&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/fa22f40a-961c-32b2-96bf-b0db8b4fd4fa/

U2 - 10.1007/s12274-022-4914-1

DO - 10.1007/s12274-022-4914-1

M3 - Review article

C2 - 36090613

SP - 1

EP - 12

JO - Nano Research

JF - Nano Research

SN - 1998-0124

ER -

ID: 99396359