Colorimetric array sensor based on bimetallic nitrogen-doped carbon-based nanozyme material to detect multiple...

Area of Science:

• Materials Science
• Analytical Chemistry
• Nanotechnology

Background:

• Antioxidants play crucial roles in biological systems and food quality.
• Developing selective and sensitive detection methods for multiple antioxidants remains a challenge.

Purpose of the Study:

• To synthesize novel copper-cobalt bimetallic nitrogen-doped carbon-based nanoenzymatic materials (CuCo@NC).
• To construct a colorimetric sensor array for the simultaneous detection of seven common antioxidants.
• To evaluate the sensor array's performance in buffer and serum samples.

Main Methods:

• One-step pyrolysis synthesis of CuCo@NC nanoenzymes.
• Colorimetric detection assay utilizing peroxidase-like activity of CuCo@NC to catalyze TMB oxidation.
• Linear Discriminant Analysis (LDA) for multivariate data analysis and antioxidant discrimination.

Main Results:

• The CuCo@NC nanoenzymes exhibited significant peroxidase-like activity.
• The sensor array successfully detected and discriminated seven antioxidants: cysteine, uric acid, tea polyphenols, lysine, ascorbic acid, glutathione, and dopamine.
• Detection limits as low as 10 nM were achieved.
• The array demonstrated effective performance in both buffer and complex serum matrices.

Conclusions:

• Multifunctional sensor arrays based on CuCo@NC bimetallic nanoenzymes offer a promising strategy for identifying various antioxidants.
• The developed sensor array has potential applications in medical diagnostics and environmental analysis of food.
• This work expands the utility of nanoenzymes in complex analytical challenges.