研究目的
Simultaneous determination of Sudan II and III dyes using a zinc oxide nanoparticle-based electrochemical sensor assisted by chemometrics.
研究成果
The MCR-ALS method combined with voltammetry successfully enabled simultaneous determination of Sudan II and III with high sensitivity and low detection limits (1.87 nM for Sudan II, 2.62 nM for Sudan III). The ZnONPs-modified electrode showed enhanced electrocatalytic properties. The approach is effective for real sample analysis, with recoveries between 91.6-108.3%, and represents a novel application of multivariate optimization in electroanalytical chemistry.
研究不足
The method requires specific instrumentation and software (e.g., MATLAB for MCR-ALS), and may be limited by the complexity of real sample matrices. Optimization was done for specific variables, and generalization to other analytes or conditions might need further validation.
1:Experimental Design and Method Selection:
Used multivariate curve resolution-alternating least squares (MCR-ALS) with electrochemical techniques for simultaneous determination. Response surface methodology (RSM) with central composite rotatable design (CCRD) was employed for optimization.
2:Sample Selection and Data Sources:
Real samples of chili and ketchup sauces were purchased from a local market and treated with ethanol extraction. Synthetic mixtures of Sudan II and III were prepared in ethanol.
3:List of Experimental Equipment and Materials:
Instruments include Potentiostat-Galvanostat Autolab PGSTAT30, Potentiostat Sama 500, X-ray diffractometer SIEMENS D5000, scanning electron microscope MIRA3TESCAN-XMU. Materials include Sudan II, Sudan III, zinc nitrate, sodium carbonate, graphite powder, paraffin oil, ethanol, phosphate buffers.
4:Experimental Procedures and Operational Workflow:
Synthesis of ZnONPs via precipitation method, fabrication of carbon paste electrode (CPE) and ZnONPs-modified CPE, electrochemical measurements using cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and differential pulse voltammetry (DPV) with varying pulse heights to generate second-order data. Optimization of variables (pH, ZnONPs amount, scan rate, step potential) using CCRD and RSM. Application of MCR-ALS to resolve overlapping voltammetric peaks.
5:Data Analysis Methods:
MCR-ALS with non-negativity and unimodality constraints for peak decomposition, calibration curves based on peak areas, statistical analysis using MINITAB software for optimization.
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