Fabrication of hybrid nanocomposites for electrochemical evaluation of food-based preservative and bioactive targets of hydrogen peroxide and rutin in real fruit and drug samples

Development of a reliable tool to detect hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and rutin in food-derived products and bioactive flavonoids is essential for food safety. Nevertheless, food/drug-based real samples are complex matrices that affect the sensor's specificity and sensitivity. For this purpose, we developed a simple electrochemical detection platform using covalent organic framework‑silver nanoparticles (COF-AgNPs). Based on spectral and electrochemical tests, COF-AgNPs displayed enhanced electroactive sites and facile electron transfer. For H<sub>2</sub>O<sub>2</sub> and rutin, the designed sensor surface exhibited outstanding concentration linearity of 0.5 nM-1000 μM and 1 nM-900 μM, respectively, along with superior detection limits of 0.126 nM and 0.133 nM. Additionally, it demonstrated acceptable reproducibility and interference capability. In practical analysis, H<sub>2</sub>O<sub>2</sub> and rutin were detected in milk, fruits, and drug samples with high recovery rates of 94.60-99.31 % (n = 3). Consequently, the designed sensor is ideal for screening targets for H<sub>2</sub>O<sub>2</sub> and rutin in food sources and for food research.

Authors

Institutions

Publication Details

Journal
Food Chemistry
Published
2024-12-16
DOI
https://doi.org/10.1016/j.foodchem.2024.142502
Citations
5
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
1.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fabrication of hybrid nanocomposites for electrochemical evaluation of food-based preservative and bioactive targets of hydrogen peroxide and rutin in real fruit and drug samples

Sheng‐Tung Huang, Chi‐Hsien Huang, Chinnathambi Nandhini, Ponnusamy Arul
5 citations
Food Chemistry
Electrochemical sensors and biosensors
1.04
article

Fabrication of hybrid nanocomposites for electrochemical evaluation of food-based preservative and bioactive targets of hydrogen peroxide and rutin in real fruit and drug samples

Sheng‐Tung Huang, Chi‐Hsien Huang, Chinnathambi Nandhini, Ponnusamy Arul
article en
5 citations

Abstract

Development of a reliable tool to detect hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and rutin in food-derived products and bioactive flavonoids is essential for food safety. Nevertheless, food/drug-based real samples are complex matrices that affect the sensor's specificity and sensitivity. For this purpose, we developed a simple electrochemical detection platform using covalent organic framework‑silver nanoparticles (COF-AgNPs). Based on spectral and electrochemical tests, COF-AgNPs displayed enhanced electroactive sites and facile electron transfer. For H<sub>2</sub>O<sub>2</sub> and rutin, the designed sensor surface exhibited outstanding concentration linearity of 0.5 nM-1000 μM and 1 nM-900 μM, respectively, along with superior detection limits of 0.126 nM and 0.133 nM. Additionally, it demonstrated acceptable reproducibility and interference capability. In practical analysis, H<sub>2</sub>O<sub>2</sub> and rutin were detected in milk, fruits, and drug samples with high recovery rates of 94.60-99.31 % (n = 3). Consequently, the designed sensor is ideal for screening targets for H<sub>2</sub>O<sub>2</sub> and rutin in food sources and for food research.

Food ChemistryVol. 469
National Taipei University of Technology (TW), Ming Chi University of Technology (TW), Chang Gung University (TW)
Zero hunger
Openalex Percentile: Top 22%
Electrochemical sensors and biosensors
1.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.