Study of brown sugar grade discrimination method based on electrochemical scanning techniques

Area of Science:

• Electrochemistry
• Food Science
• Analytical Chemistry

Background:

• Accurate grading of brown sugar is crucial for quality control and consumer trust.
• Existing methods for brown sugar analysis may lack specificity or efficiency.
• Electrochemical techniques offer a sensitive and rapid approach for food analysis.

Purpose of the Study:

• To develop and validate an electrochemical scanning method for discriminating brown sugar grades.
• To investigate the utility of different working electrodes (copper foam, nickel foam, copper film) in brown sugar analysis.
• To establish a reliable evaluation method for brown sugar classification.

Main Methods:

• Utilized a three-electrode electrochemical system with copper foam, nickel foam, and copper film as working electrodes.
• Employed cyclic voltammetry (CV) and chronoamperometry (i-t) techniques for scanning brown sugar samples in an aqueous environment.
• Applied a logistic regression model to correlate current density data with brown sugar varieties.

Main Results:

• Distinct electrochemical characteristics were observed for different brown sugar samples across various working electrodes.
• The chronoamperometry (i-t) data, analyzed via logistic regression, effectively distinguished between brown sugar types.
• Validation testing showed an average relative error within ±9.27% for current density measurements.

Conclusions:

• The proposed electrochemical scanning method, particularly using chronoamperometry, is effective for discriminating brown sugar grades.
• The choice of working electrode significantly influences the electrochemical response, enabling tailored analysis.
• This technique provides a promising tool for objective and efficient brown sugar quality assessment.