Ni₃V₂O₈ nanoflower mimetic enzyme constructs a dual-signal system for ascorbic acid detection

Area of Science:

• Analytical Chemistry
• Materials Science
• Biochemistry

Background:

• Ascorbic acid (AA) is a vital nutrient for human health, found abundantly in fruits and beverages.
• Accurate and rapid detection of AA is crucial for maintaining metabolic balance and ensuring food quality.
• Existing detection methods may lack the sensitivity, speed, or cost-effectiveness required for widespread application.

Purpose of the Study:

• To develop a novel dual-signal sensing platform for the quantitative determination of ascorbic acid (AA).
• To utilize the nanozyme activity of Ni3V2O8 nanoflowers for sensitive and selective AA detection.
• To provide a rapid, convenient, and cost-effective method for analyzing AA in real food and beverage samples.

Main Methods:

• A sensing platform was engineered based on the horseradish peroxidase-like activity of Ni3V2O8 nanoflowers.
• The platform employs UV-Vis absorption spectrophotometry and test strip chromaticity for dual-signal detection.
• Detection relies on the Ni3V2O8-catalyzed oxidation of TMB and its subsequent reduction by AA.

Main Results:

• The UV-Vis sensing platform achieved a wide linear range of 0.1 μM to 40 μM with a low detection limit of 0.032 μM.
• The test strip method demonstrated a linear range of 1–50 μM with a detection limit of 0.42 μM, offering high sensitivity and convenience.
• The developed platform showed excellent performance in detecting ascorbic acid in real fruit juice and beverage samples.

Conclusions:

• The dual-signal sensing platform based on Ni3V2O8 nanoflowers provides a robust and efficient method for AA detection.
• This approach offers a promising alternative for rapid, accurate, and cost-effective quantification of ascorbic acid in food and beverages.
• The developed sensing system has broad potential applications in food quality control and health monitoring.