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Quasi-spherical silver nanoparticles for human prolactin detection by surface-enhanced Raman spectroscopy
Alejandra Ortiz-Dosal1, M C Rodríguez-Aranda2,3, Luis Carlos Ortiz-Dosal4
1Cátedras CONAHCYT - Facultad de Ciencias Universidad Autónoma de San Luis Potosí 1570 Parque Chapultepec Ave 78295 San Luis Potosí Mexico.
This study characterizes human prolactin
Area of Science:
- Biochemistry and Spectroscopy
- Analytical Chemistry
Background:
- Prolactin is a polypeptide hormone crucial for lactation, with normal serum levels varying by sex and pregnancy status.
- Conventional immunoassay techniques for prolactin detection can be prone to errors in certain clinical scenarios.
- Surface-enhanced Raman spectroscopy (SERS) offers a rapid and reproducible method for protein spectrum analysis, but human prolactin's SERS spectrum at physiological concentrations requires further characterization.
Purpose of the Study:
- To characterize the Raman spectrum of human prolactin at physiological concentrations.
- To utilize silver nanoparticles (AgNPs) as a substrate for SERS analysis of human prolactin.
- To establish a method for detecting human prolactin's spectral signature at low concentrations.
Main Methods:
- Synthesis of quasi-spherical silver nanoparticles (AgNPs) via chemical methods.
- Preparation of serial dilutions of human prolactin.
- Acquisition of Raman and SERS spectra using AgNPs as the substrate, analyzing mixtures of prolactin and AgNPs.
Main Results:
- The SERS spectrum of human prolactin was successfully obtained down to concentrations of 0.1 ng/mL.
- The obtained spectra exhibited characteristic bands related to aromatic amino acid side chains and alpha-helical structures within prolactin.
- The SERS technique demonstrated sensitivity to prolactin's primary and secondary structural features.
Conclusions:
- Quasi-spherical silver nanoparticles serve as an effective SERS substrate for human prolactin analysis.
- The study successfully determined the Raman spectrum of human prolactin at physiological concentrations.
- SERS provides a viable method for characterizing prolactin's spectral properties, potentially aiding in diagnostics.
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