A smartphone-based colorimetric assay using Cu-tannic acid nanosheets (Cu-TA NShs) as a laccase-mimicking nanozyme for visual detection of quercetin in vegetables

The interaction of Cu-tannic acid nanosheets (Cu-TA NShs) as nanozyme in a surfactant solution of CTAB under relatively acidic conditions is shown to exhibit a catalytic effect on quercetin (Qur). This catalytic property of Cu-TA NShs, which mimics laccase enzyme with many advantages, has been appli...

Full description

Saved in:
Bibliographic Details
Published in:Mikrochimica acta (1966) 2024-03, Vol.191 (3), p.168-168, Article 168
Main Authors: Davoodi-Rad, Kowsar, Shokrollahi, Ardeshir, Shahdost-Fard, Faezeh, Azadkish, Kamal, Madani-Nejad, Elham
Format: Article
Language:English
Subjects:
Analytical Chemistry
Characterization and Evaluation of Materials
Chemistry
Chemistry and Materials Science
Colorimetry
Enzymes
High performance liquid chromatography
Laccase
Microengineering
Nanochemistry
Nanosheets
Nanotechnology
Original Paper
Polyphenols
Quercetin
Sensors
Smartphone
Smartphones
Statistical analysis
Tannic acid
Technical services
Vegetables
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The interaction of Cu-tannic acid nanosheets (Cu-TA NShs) as nanozyme in a surfactant solution of CTAB under relatively acidic conditions is shown to exhibit a catalytic effect on quercetin (Qur). This catalytic property of Cu-TA NShs, which mimics laccase enzyme with many advantages, has been applied to developing a selective colorimetric sensor for the determination of trace amounts of Qur in vegetable samples. This strategy presents a desirable linear relationship between the absorbance signal intensity and the concentrations of Qur from 0.350 to 32.09 µM with a detection limit (LOD) of 0.064 µM (S/N = 3). The feasibility of the proposed portable colorimetric sensor for in situ analysis of the real samples has been validated with the high-performance liquid chromatography (HPLC) method as reference method, and two-tailed test ( t test) statistical analysis certifies good agreement between the results. This enzyme-free and sensitive naked-eye sensor with the smartphone-based color map is promising to provide technical support for the rapid and visual detection of Qur in vegetables. Graphical Abstract
ISSN:0026-3672
1436-5073
DOI:10.1007/s00604-024-06238-y