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Updated: Jan 24, 2026
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UV-Vis Spectroscopic Characterization of Nanomaterials in Aqueous Media
Published on: October 25, 2021
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UV-vis sensor array combining with chemometric methods for quantitative analysis of binary dipeptide mixture
Lijuan Huang1, Xin Zhang1, Zhuoyong Zhang1
1Department of Chemistry, Capital Normal University, Beijing 100048, China.
Summary
This study presents a novel sensor array using gold nanoparticles (AuNPs) and UV-Vis spectroscopy for detecting low levels of peptides like Glycylglycine (Gly-Gly) and Alanyl-glutamine (Ala-Gln). The sensor array effectively quantifies these peptides in mixtures, offering a sensitive and extensible analytical method.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Biochemistry
Background:
- Accurate analysis of endogenous peptides at micromole levels in bodily fluids is crucial.
- Gold nanoparticles (AuNPs) offer unique optical properties for sensing applications.
Purpose of the Study:
- To develop an extensible, facile, and sensitive sensor array for quantitative analysis of binary peptide mixtures.
- To utilize UV-Vis spectroscopy of AuNPs combined with chemometric methods for peptide detection.
Main Methods:
- Constructed a sensor array based on the aggregation/prevention of aggregation of AuNPs induced by specific analytes.
- Employed UV-Vis spectroscopy to monitor color changes in the AuNP solution.
- Utilized multivariate analysis, including Partial Least Squares (PLS) and backward interval PLS (BiPLS) models, for data fusion and quantitative analysis.
Main Results:
- The sensor array demonstrated sensitivity to the concentrations of arginine (Arg) and Cr3+, which are key factors affecting sensitivity.
- PLS models, applied to a fused dataset of UV-Vis data under varying Arg and Cr3+ concentrations, yielded the best analytical results.
- The color change of the solution correlated with peptide concentration and was visually observable or measurable by spectrometry.
Conclusions:
- The developed sensor array provides a sensitive and extensible platform for the quantitative analysis of peptide mixtures.
- Multivariate analysis, particularly PLS, is effective for optimizing and analyzing data from complex peptide mixtures.
- The method shows potential for extension to the analysis of other peptides in more complex biological systems.
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