Published February 2, 2022 | Version v1
Journal article

A versatile technique based on surface-enhanced Raman spectroscopy for label-free detection of amino acids and peptide formation in body fluids

  • 1. Guizhou University. School of Chemistry and Chemical Engineering (China)
  • 2. Harbin Medical University. College of Pharmacy (China)
  • 3. Jilin University. The Second Hospital of Jilin University (China)
  • 4. College of Pharmacy, Harbin Medical University. Research Center for Innovative Technology of Pharmaceutical Analysis (China)

Description

As an effective analytical method, surface-enhanced Raman spectroscopy (SERS) is widely used in the detection of nucleic acids, amino acids, and other biomolecules. However, obtaining the SERS signal of nonaromatic amino acids is still a challenge. In this work, excess sodium borohydride was used as a reducing agent to prevent the surface of silver nanoparticles from being coated with AgO to enable amino acid molecules to reach the surface of silver nano-substrates. Calcium ions were used as aggregators for silver nano-substrates to successfully achieve the label-free and accurate fingerprint determination of various nonaromatic amino acids. Different types of amino acids were distinguished based on the changes in their peak intensity that were obtained using colorless and transparent organic dichloromethane (DCM) as the internal standard. A Raman signal for low-concentration amino acids in body fluids was detected, and the detection limit for tyrosine was 5 ng/mL. Moreover, the physical and chemical properties of peptides and the formation of peptide chains were further analyzed. The proposed method can potentially be applied to protein sequencing.

Additional details

Identifiers

Publishing Information

Journal Title
Mikrochimica Acta
Journal Volume
189
Journal Issue
2
Journal Page Range
vp.
ISSN
0026-3672
CODEN
MIACAQ

Optional Information

Copyright
Copyright (c) 2022 © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2022