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Observation and Analysis of Blinking Surface-enhanced Raman Scattering
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pH-assisted ratiometric surface-enhanced Raman scattering for reliable creatinine quantification in serum.

Dechan Lu1, Xiaoqi Zhou1, Dandan Su1

  • 1School of Intelligent Manufacturing, Putian University, Putian 351100, China.

Colloids and Surfaces. B, Biointerfaces
|January 22, 2026
PubMed
Summary
This summary is machine-generated.

A new pH-assisted ratiometric surface-enhanced Raman scattering (SERS) method accurately detects serum creatinine. This reliable approach enhances kidney dysfunction diagnosis and offers potential for point-of-care testing.

Keywords:
Core-shell nanoparticlesQuantitative analysisRatiometricSERSSerum

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Nanotechnology

Background:

  • Abnormal serum creatinine levels indicate kidney dysfunction, necessitating accurate monitoring for early diagnosis.
  • Current creatine kinase-based methods suffer from matrix interference, limiting clinical reliability.

Purpose of the Study:

  • To develop a precise and reliable method for creatinine detection in biological samples.
  • To overcome the limitations of existing commercial creatinine detection kits.

Main Methods:

  • Synthesized core-shell nanoparticles (Au@MPA@Ag NPs) using 3-mercaptopropionic acid (MPA) as an internal standard.
  • Employed a pH-assisted ratiometric surface-enhanced Raman scattering (SERS) technique optimized at pH 9.
  • Utilized the internal standard-calibrated Raman intensity for quantitative analysis.

Main Results:

  • Achieved a limit of detection of 3.3 μM for creatinine.
  • Demonstrated a strong linear correlation between Raman intensity and creatinine concentration.
  • Validated the method in human serum samples with 98-107% recovery rates, comparable to commercial kits.

Conclusions:

  • The developed pH-assisted ratiometric SERS method offers a clinically accurate and reliable approach for creatinine monitoring.
  • This technique shows significant potential for point-of-care diagnostic applications.
  • The use of core-shell nanoparticles and an internal standard enhances detection precision and reproducibility.