AI Article Synopsis

  • Biogenic amines (BAs) in fishery products pose food safety risks, and traditional methods of detecting them are costly and labor-intensive.
  • A new nanozyme-based sensor array was developed to effectively identify four types of BAs and to sensitively detect histamine using metal-organic frameworks with peroxidase-like activities.
  • This sensor can produce distinct color patterns for different BAs, accurately detect histamine down to 1 μM in 20 minutes, and assess the freshness of fish samples, enhancing food safety and public health efforts.

Article Abstract

Biogenic amines (BAs) are hazardous substances found in fishery products that are closely associated with fish spoilage and threaten food safety. Traditional chromatographic methods for detecting BAs are expensive, complex, and time-consuming. In this study, we developed a nanozyme-based sensor array to efficiently discriminate between four types of BAs and sensitively detect histamine. Copper-, cerium-, and manganese-based metal-organic frameworks with excellent peroxidase-like activities were employed as sensor elements. Because the catalytic activities of metal-organic frameworks could be modified by different BAs to varying degrees, the sensor array could generate a distinct colorimetric response pattern (fingerprint) for each BA. Based on this principle, the sensor array accurately discriminated BAs over a wide concentration range (10-1000 μM). Histamine could be distinguished down to 1 μM and detected with a detection limit of 4.28 μM within 20 min. In addition, mixtures of BAs, target BAs, interfering substances, and BAs in fishery product samples were well discriminated. Furthermore, our sensor array could also effectively distinguish the freshness of fish samples. This work might offer a useful strategy for the discrimination and detection of BAs and could positively contribute to food safety and public health.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.talanta.2024.127244DOI Listing

Publication Analysis

Top Keywords

sensor array
20
bas
9
biogenic amines
8
food safety
8
metal-organic frameworks
8
sensor
6
array
5
metal-organic frameworks-based
4
frameworks-based nanozyme
4
nanozyme sensor
4

Similar Publications

The increasing prevalence of obesity and metabolic disorders has created a significant demand for personalized devices that can effectively monitor fat metabolism. In this study, we developed an advanced breath analyzer system designed to provide real-time monitoring of exercise-induced fat burning by analyzing volatile organic compounds (VOCs) present in both oral and alveolar breath. Acetone in exhaled breath and β-hydroxybutyric acid (BOHB) in the blood are both biomarkers closely linked to the metabolic fat burning process occurring in the liver, particularly after exercise.

View Article and Find Full Text PDF

Magnetic liquid metal droplets, featured by unique fluidity, metallic conductivity, and magnetic reactivity, are of growing significance for next-generation flexible electronics. Conventional fabrication routes, which typically incorporate magnetic nanoparticles into liquid metals, otherwise encounter the pitfall pertaining to surface adhesivity and corrosivity over device modules. Here, an innovative approach of synergizing liquid metals with 2D magnetic materials is presented, accordingly creating chromium(III)-telluride-coated liquid metal (CT-LM) droplets via a simple self-assembly process.

View Article and Find Full Text PDF

Ammonium level in body fluids serves as one of the critical biomarkers for healthcare, especially those relative to liver diseases. The continuous and real-time monitoring in both invasive and non-invasive manners is highly desired, while the ammonium concentrations vary largely in different body fluids. Besides, the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium ions.

View Article and Find Full Text PDF

A saccharides regulated fluorescence ratio sensing array for bacterial recognition based on lectin response.

Talanta

December 2024

Chongqing Key Laboratory of Natural Product Synthesis and Drug Research, Innovative Drug Research Center, School of Pharmaceutical Sciences, Chongqing University, Chongqing, 401331, China. Electronic address:

Array sensing employs cross-identification among analytes and various sensing units to identify substances or complex systems. This manuscript presents a fluorescence ratio sensing array based on lectin responses for the accurate identification of different bacteria. This strategy uses a saccharide-sensitive polymer as the sensing unit within the sensor.

View Article and Find Full Text PDF

Machine learning-assisted implantable plant electrophysiology microneedle sensor for plant stress monitoring.

Biosens Bioelectron

December 2024

Laboratory of Agricultural Information Intelligent Sensing, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, PR China; Innovation Platform of Micro/Nano Technology for Biosensing, ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, 311215, PR China. Electronic address:

Plant electrical signals serve as a medium for long-distance signal transmission and are intricately linked to plant stress responses. High-fidelity acquisition and analysis of plant electrophysiological signals contribute to early stress identification, thereby enhancing agricultural production efficiency. While traditional plant electrophysiology monitoring methods like gel electrodes can capture electrical signals on plant surfaces, which face limitations due to the plant cuticle barrier, impacting signal accuracy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: