Photo-induced multiple charge transfer resonance of Ce-MOF for SERS detection of nucleic acid

Anal Chim Acta. 2025 Feb 15:1339:343604. doi: 10.1016/j.aca.2024.343604. Epub 2025 Jan 3.

Abstract

Background: Sensitive and accurate detection of important cancer markers MicroRNAs (miRNAs) is critical to prevent and treat disease. Among many detection techniques, surface-enhanced Raman scattering(SERS) has attracted much attention due to its advantages such as narrow spectral peak, low interference and non-destructive detection. Interestingly, non-noble metal SERS substrates show good prospects due to their outstanding spectral reproducibility and biocompatibility. However, the low SERS sensitivity of non-noble metal substrates also limited their detection performance. Therefore, it is crucial to design a non-noble metal substrate with high SERS sensitivity for nucleic acid detection.

Results: In this study, we found that the photo induction (30 min) of Ce-MOF has high SERS performance (abbreviated as Ce-MOF30). It is due to that photo-induction can regulate the energy level of the Ce-MOF and break the benzene-C bonds to introduce a defect energy level, which provides additional charge transfer channels. The Ce-MOF30 substrates can achieve an enhancement factor (EF) of 6.71 × 106 for Methylene blue (MB), about 7-fold higher than pristine Ce-MOF, which is the best Ce-based SERS substrate so far. Finally, a SERS detection platform was fabricated by combining the Mg2+ assisted dual signal amplification for miRNA 141 assay, and the detection limit was 1.72 fM.

Significance: This work proposed a simple photo-induction strategy to enhance SERS performance, which supplied a new detection platform for detection of nucleic acid and further expand the application of non-noble metal substrate in SERS field.

Keywords: Ce-MOF; Linker defect; MicroRNA 141; Photo-induction; SERS.

MeSH terms

  • Humans
  • Limit of Detection
  • Metal-Organic Frameworks* / chemistry
  • MicroRNAs* / analysis
  • Photochemical Processes
  • Spectrum Analysis, Raman* / methods
  • Surface Properties

Substances

  • Metal-Organic Frameworks
  • MicroRNAs
  • MIRN141 microRNA, human