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Exploring Distinct Second-Order Data Approaches for Thiamine Quantification via Carbon Dot/Silver Nanoparticle FRET
Rafael C Castro1, Ricardo N M J Páscoa1, M Lúcia M F S Saraiva1
1LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira n° 228, 4050-313 Porto, Portugal.
Biosensors
|December 27, 2024
Summary
A new Förster resonance energy transfer (FRET) system using carbon dots and silver nanoparticles enables sensitive thiamine detection in multivitamins. This method ensures product quality and prevents deficiencies by accurately monitoring thiamine levels.
Area of Science:
- Analytical Chemistry
- Nanotechnology
- Biochemistry
Background:
- Accurate thiamine monitoring is crucial for multivitamin quality and preventing deficiencies.
- Existing methods may lack selectivity or sensitivity for complex matrices like supplements.
- Novel sensing platforms are needed for reliable thiamine quantification.
Purpose of the Study:
- To develop a sensitive and selective Förster resonance energy transfer (FRET) system for thiamine detection.
- To optimize the synthesis of silver nanoparticles (AgNPs) for efficient FRET applications.
- To validate the method's accuracy and robustness in multivitamin supplements.
Main Methods:
- Aqueous synthesis of citrate-stabilized silver nanoparticles (AgNPs) using microwave irradiation.
- Optimization of AgNP synthesis using a central composite orthogonal design (CCOD).
- Development of a FRET sensing scheme utilizing carbon dots (CDs) and AgNPs for thiamine quantification, coupled with unfolded partial least-squares (U-PLS) and residual bilinearization (RBL) for data analysis.
Main Results:
- Optimized AgNP synthesis yielded efficient plasmonic nanoparticles with maximal absorbance, stability, and wavelength alignment.
- The FRET system demonstrated a concentration-dependent decrease in photoluminescence (PL) upon thiamine presence.
- U-PLS and RBL analysis achieved high sensitivity and specificity, with R² = 0.952 and REP% = 11% for thiamine detection.
Conclusions:
- A novel, highly sensitive, and interference-free FRET-based method for thiamine detection was successfully developed.
- The optimized AgNP synthesis and advanced data analysis provide a robust platform for analytical applications.
- This method holds significant potential for quality control of multivitamin supplements and other relevant analyses.
Keywords:
Förster resonance energy transfercarbon dotschemometric analysisexcitation–emission matricessilver nanoparticlesthiamine
