Defective UIO66 metal–organic framework nanoparticles assisted by cascade isothermal amplification technology for the detection of aflatoxin B1 DOI
Yanyan Shao,

Qian Tao,

Ling Shao

et al.

Talanta, Journal Year: 2024, Volume and Issue: 285, P. 127411 - 127411

Published: Dec. 19, 2024

Language: Английский

A DNA tetrahedral scaffolds-based electrochemical biosensor for simultaneous detection of AFB1 and OTA DOI
Wenting Li, Yongqiang Shi, Xinai Zhang

et al.

Food Chemistry, Journal Year: 2023, Volume and Issue: 442, P. 138312 - 138312

Published: Dec. 28, 2023

Language: Английский

Citations

26

Nanomaterial-mediated self-calibrating biosensors for ultra-precise detection of food hazards: Recent advances and new horizons DOI

Lulu Cao,

Qinghua Ye, Yuwei Ren

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 522, P. 216204 - 216204

Published: Sept. 10, 2024

Language: Английский

Citations

15

Target-mediated rolling circle amplification/transcription coupling with double signal amplification of exonuclease III-assisted CRISPR/Cas12a-Cas13a for simultaneously ultrasensitive detection of aflatoxin B1 and ochratoxin A DOI

Yaqi Li,

Qingyue Sun,

Xin Chen

et al.

Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111200 - 111200

Published: Feb. 1, 2025

Language: Английский

Citations

1

Nitrogen-doped carbon dot and DNA tetrahedron nanostructure based electrochemiluminescence aptasensor for AFB1 detection DOI
Ying Li,

Pengyue Song,

Qingbin Xu

et al.

Sensors and Actuators B Chemical, Journal Year: 2023, Volume and Issue: 401, P. 135024 - 135024

Published: Nov. 20, 2023

Language: Английский

Citations

18

Enhanced sensitivity for Aflatoxin B1 detection in food through a h-Zn1Cd5S-based photoelectrochemical aptasensor DOI
Kai Kang, Hui Zhang,

Licong Jia

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 413, P. 135894 - 135894

Published: April 30, 2024

Language: Английский

Citations

6

Microbial biotechnology alchemy: Transforming bacterial cellulose into sensing disease- A review DOI Creative Commons
Ali Jawad Akki,

Pratheek Jain,

Ravindra Kulkarni

et al.

Sensors International, Journal Year: 2024, Volume and Issue: unknown, P. 100277 - 100277

Published: Jan. 1, 2024

Biosensors have the potential to revolutionize healthcare by providing rapid and accurate diagnosis of diseases. are analytical devices that convert molecular recognition a target analyte into measurable signal. Older diagnostic techniques, such as immunoaffinity column assays, fluorometric, enzyme-linked immunosorbent laborious, require qualified personnel, can be time consuming. In contrast, biosensors offer improved accuracy, sustainability, rapidness due their ability detect specific biomarkers with high sensitivity specificity. The review covers various bacterial cellulose (BC)-based biosensors, from SARS-CoV-2 detection wearable health monitoring interaction human-computer interfaces. BC's integration ionic thermoelectric hydrogels for shows its real-time tracking. Incorporating BC in low-noise electrodes, sensors has been elaborated. invention phage-immobilized biosensor S. aureus is significant contribution field, highlighting biosafety efficiency pathogen identification demonstrating versatility across multiple sensing platforms. Palladium nanoparticle-bacterial hybrid nanofibers show excellent electrocatalytic activity dopamine detection, whereas Au-BC nanocomposite efficacy glucose therapeutic applications. "lab-on-nanopaper" device, utilizing nanopaper, not only visually detects human serum albumin but also establishes itself new-generation optical biosensing platform superiority over conventional substrates. This contributes ongoing advancements technology, versatile material developing innovative biosensors. crucial improving sensitivity, tools healthcare.

Language: Английский

Citations

5

Functionalized metal-organic frameworks with biomolecules for sensing and detection applications of food contaminants DOI
Huanhuan Li, Arul Murugesan, Muhammad Shoaib

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 33

Published: Sept. 26, 2024

The increasing demand for toxin-free food, driven by the rise in fast food consumption and changing dietary habits, necessitates advanced efficient detection methods to address potential risks associated with contaminated food. Nanomaterial-based have shown significant promise, particularly using metal-organic frameworks (MOFs) combined biomolecules. This review article provides an overview of recent advancements functionalized (FMOFs) biomolecules detect various contaminants, including heavy metals, antibiotics, pesticides, bacteria, mycotoxins other chemical contaminants. We discuss fundamental principles detecting evaluate existing analytical techniques, explore development biomacromolecule-functionalized MOF-based sensors encompassing colorimetric, optical, electrochemical, portable variants. also examines sensing mechanisms, uses FMOFs as signal probes carriers capture probes, assesses sensitivity. Additionally, we opportunities challenges producing biomacromolecules contaminant assessment. Future directions include improving sensor sensitivity specificity, developing more cost-effective production methods, integrating these technologies into real-world safety monitoring systems. work aims pave way innovative reliable solutions ensure our supply.

Language: Английский

Citations

5

Silver metallization-triggered liposome-embedded AIE fluorophore for dual-mode detection of biogenic amines to fight food freshness fraud DOI
Xiang Gao,

Peng Nie,

Peiran Li

et al.

Food Chemistry, Journal Year: 2023, Volume and Issue: 429, P. 136961 - 136961

Published: July 22, 2023

Language: Английский

Citations

12

Magnetically controlled fluorescence biosensor for simultaneous detection of aflatoxin B1 and its toxin-producing gene aflD DOI

Yaqi Li,

Shuangfeng Peng,

Xin Chen

et al.

Food Bioscience, Journal Year: 2025, Volume and Issue: unknown, P. 105972 - 105972

Published: Jan. 1, 2025

Language: Английский

Citations

0

Pixel-level spectral reconstruction and compressed projection based on deep learning in detecting aflatoxin B1 DOI

Hongfei Zhu,

Yifan Zhao, Longgang Zhao

et al.

Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 232, P. 110071 - 110071

Published: Feb. 11, 2025

Language: Английский

Citations

0