Chiral molecular imprinting-based SERS detection strategy for absolute enantiomeric discrimination.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
30 09 2022
Historique:
received: 13 12 2021
accepted: 19 09 2022
entrez: 30 9 2022
pubmed: 1 10 2022
medline: 5 10 2022
Statut: epublish

Résumé

Chiral discrimination is critical in environmental and life sciences. However, an ideal chiral discrimination strategy has not yet been developed because of the inevitable nonspecific binding entity of wrong enantiomers or insufficient intrinsic optical activities of chiral molecules. Here, we propose an "inspector" recognition mechanism (IRM), which is implemented on a chiral imprinted polydopamine (PDA) layer coated on surface-enhanced Raman scattering (SERS) tag layer. The IRM works based on the permeability change of the imprinted PDA after the chiral recognition and scrutiny of the permeability by an inspector molecule. Good enantiomer can specifically recognize and fully fill the chiral imprinted cavities, whereas the wrong cannot. Then a linear shape aminothiol molecule, as an inspector of the recognition status is introduced, which can only percolate through the vacant and nonspecifically occupied cavities, inducing the SERS signal to decrease. Accordingly, chirality information exclusively stems from good enantiomer specific binding, while nonspecific recognition of wrong enantiomer is curbed. The IRM benefits from sensitivity and versatility, enabling absolute discrimination of a wide variety of chiral molecules regardless of size, functional groups, polarities, optical activities, Raman scattering, and the number of chiral centers.

Identifiants

pubmed: 36180485
doi: 10.1038/s41467-022-33448-w
pii: 10.1038/s41467-022-33448-w
pmc: PMC9525700
doi:

Substances chimiques

Amines 0
Sulfhydryl Compounds 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5757

Informations de copyright

© 2022. The Author(s).

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Auteurs

Maryam Arabi (M)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.

Abbas Ostovan (A)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.

Yunqing Wang (Y)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China. yqwang@yic.ac.cn.
Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 266237, Qingdao, China. yqwang@yic.ac.cn.

Rongchao Mei (R)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.

Longwen Fu (L)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.

Jinhua Li (J)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.

Xiaoyan Wang (X)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China.
School of Pharmacy, Binzhou Medical University, 264003, Yantai, China.

Lingxin Chen (L)

CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, China. lxchen@yic.ac.cn.
Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology, 266237, Qingdao, China. lxchen@yic.ac.cn.
Center for Ocean Mega-Science, Chinese Academy of Sciences, 266071, Qingdao, China. lxchen@yic.ac.cn.

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Classifications MeSH