Band gap tuning of Sn1-xCexO2 nanoflower for improved SERS activity of bioassay |
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Author: | Jiang, Lingling1; Zhang, Jiale1; Li, Hongying1; |
Organizations: |
1Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University) Ministry of Education, College of Chemistry and Chemical Engineering, Southwest University, Chongqing, PR China 2Faculty of Medicine, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, 90220 Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | embargoed |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2023031632138 |
Language: | English |
Published: |
Elsevier,
2023
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Publish Date: | 2025-04-01 |
Description: |
AbstractMetal oxide-based surface-enhanced Raman scattering (SERS) platforms have attracted considerable interest, which show potentials for biomolecule detection due to their wide bandgap tuning range, stable properties, high electron mobility and good optical properties. However, the types and enhancement factor (EF) of metal oxide SERS substrates are limited. And the band-matched efficient photo-induced charge transfer (PICT) is the important process to further improve the EF. In this study, one efficient SERS substrate Sn1-xCexO2 was synthesized by varying concentrations of Ce ions with band gap tuning and oxygen vacancies introducing. As a result, the charge transfer pathway and strong interaction between the Sn1-xCexO2 nanoflowers (NFs) and methylene blue (MB) molecules are promoted, and the enhancement factor (EF) of this Sn1-xCexO2 (x = 0.03) NF is as high as 1.80 × 10⁶. Then, we constructed a biosensor based on hybridization chain reaction (HCR) strategy combining with Mg²⁺-dependent DNAzyme cleavage nucleic acid cascade signal amplification to achieve sensitive and quantitative detection of microRNA 21 (miRNA 21). The limit of detection (LOD) was 0.72 fM with a detection linearity ranged from 1 fM to 10 nM. This study gives an approach for preparation of new SERS substrates which can be used in bioanalysis. see all
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Series: |
Chemical engineering journal |
ISSN: | 1385-8947 |
ISSN-E: | 1873-3212 |
ISSN-L: | 1385-8947 |
Volume: | 461 |
Article number: | 142102 |
DOI: | 10.1016/j.cej.2023.142102 |
OADOI: | https://oadoi.org/10.1016/j.cej.2023.142102 |
Type of Publication: |
A1 Journal article – refereed |
Field of Science: |
116 Chemical sciences 221 Nanotechnology |
Subjects: | |
Funding: |
This work is supported by the National Natural Science Foundation (22174114). Jian-An Huang acknowledges the DigiHealth-project, a strategic profiling project at the University of Oulu that is supported by the Academy of Finland (project number 326291) and the University of Oulu as well as the Tandem Industry Academia 2021 project (project number: 312) from the Finnish Research Impact Foundation. |
Academy of Finland Grant Number: |
326291 |
Detailed Information: |
326291 (Academy of Finland Funding decision) |
Copyright information: |
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http:/creativecommons.org/licenses/by-nc-nd/4.0/ |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |