A Statistical Route to Robust SERS Quantitation Beyond the Single-Molecule Level.
basic_science · Level V
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- Record sourced from PubMed, PMID 39116042.
- Also identified by DOI 10.1021/acs.nanolett.4c03507.
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Abstract
Single-molecule surface-enhanced Raman spectroscopy (SM-SERS) holds great potential to revolutionize ultratrace quantitative analysis. However, achieving quantitative SM-SERS is challenging because of strong intensity fluctuation and blinking characteristics. In this study, we reveal the relation <i>P</i> = 1 - e<sup>-α</sup> between the statistical SERS probability <i>P</i> and the microscopic average molecule number α in SERS spectra, which lays the physical foundation for a statistical route to implement SM-SERS quantitation. Utilizing SERS probability calibration, we achieve quantitative SERS analysis with batch-to-batch robustness, extremely wide detection range of concentration covering 9 orders of magnitude, and ultralow detection limit far below the single-molecule level. These results indicate the physical feasibility of robust SERS quantitation through statistical route and certainly open a new avenue for implementing SERS as a practical analysis tool in various application scenarios.