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Selected Reaction Monitoring Mass Spectrometry for Absolute Protein Quantification

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Published on: August 17, 2015

A Statistical Route to Robust SERS Quantitation Beyond the Single-Molecule Level.

Hao Zhang¹, Longkun Yang¹, Meng Zhang¹

¹Beijing Key Laboratory for Nano-Photonics and Nano-Structure (NPNS), Department of Physics, Capital Normal University, Beijing 100048, China.

|August 8, 2024

Summary

This study introduces a statistical method for single-molecule surface-enhanced Raman spectroscopy (SM-SERS) quantitation, overcoming intensity fluctuations. This breakthrough enables robust ultratrace analysis with a wide detection range and ultra-low limits.

Keywords:

Poisson distribution SERS single-molecule detection statistical SERS probability surface-enhanced Raman spectroscopy

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Area of Science:

Analytical Chemistry
Spectroscopy
Nanotechnology

Background:

Single-molecule surface-enhanced Raman spectroscopy (SM-SERS) offers potential for ultratrace quantitative analysis.
Challenges in quantitative SM-SERS include intensity fluctuations and blinking phenomena.

Purpose of the Study:

To establish a physical foundation for quantitative SM-SERS using a statistical approach.
To develop a robust method for ultratrace quantitative analysis via SM-SERS.

Main Methods:

Revealed the relationship P = 1 - e^-α between SERS probability (P) and average molecule number (α).
Implemented SERS probability calibration for quantitative analysis.

Main Results:

Achieved quantitative SERS analysis with batch-to-batch robustness.
Demonstrated an exceptionally wide detection range spanning 9 orders of magnitude.
Reached an ultralow detection limit significantly below the single-molecule level.

Conclusions:

Validated the physical feasibility of robust SERS quantitation through a statistical route.
Opened new possibilities for practical SERS applications in diverse scenarios.