Rapid identification of milk powder adulteration based on surface-enhanced Raman spectroscopy DOI Creative Commons
Jian Chen, Wei Liu,

Xiaoyu Cao

et al.

AIP Advances, Journal Year: 2024, Volume and Issue: 14(10)

Published: Oct. 1, 2024

In recent years, milk powder adulteration has emerged as a matter of great concern. this study, rapid, accurate, and efficient detection method based on surface-enhanced Raman spectroscopy (SERS) combined with principal component analysis (PCA) was established to detect adulteration. The “coffee ring” effect-based gold nanoparticles (Au NPs) the SERS-enhancing substrate were coupled portable spectrometer, which enabled differentiation various brands melamine in powder. exhibited good SERS enhancement ability an factor 104. Furthermore, strong linear correlation coefficient (R2) 0.9903 observed between intensity concentration from 0.5 5.0 mg/kg. calculated limit (LOD) 0.15 mg/kg, while quantitation (LOQ) addition, when applied samples, achieved recovery rates samples ranged 92.83% 98.86% relative standard deviations 0.84% 1.14%. summary, offers advantages cost-effectiveness, less sample requirement, shorter time, meeting needs for classification rapid detection.

Language: Английский

CRISPR/Cas-based nanobiosensors: A reinforced approach for specific and sensitive recognition of mycotoxins DOI

Ma Haowei,

Shadi Ebrahimi, Sofiène Mansouri

et al.

Food Bioscience, Journal Year: 2023, Volume and Issue: 56, P. 103110 - 103110

Published: Sept. 9, 2023

Language: Английский

Citations

29
An aptamer-triggered hybridization chain reaction strategy for ultra-sensitive biological nanopore detection of aflatoxin B1 DOI
Zhuoqun Su,

Youlin Kong,

Tong Li

et al.

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 407, P. 135457 - 135457

Published: Feb. 6, 2024

Language: Английский

Citations

16
Recent advances on CRISPR/Cas system-enabled portable detection devices for on-site agri-food safety assay DOI

Manyan Qiu,

Jingwen Zhang, Lidong Pang

et al.

Trends in Food Science & Technology, Journal Year: 2022, Volume and Issue: 129, P. 364 - 387

Published: Oct. 4, 2022

Language: Английский

Citations

33
Overview of the materials design and sensing strategies of nanopore devices DOI
Liyuan Liang,

Fupeng Qin,

Sen Wang

et al.

Coordination Chemistry Reviews, Journal Year: 2022, Volume and Issue: 478, P. 214998 - 214998

Published: Dec. 27, 2022

Language: Английский

Citations

28
CRISPR-Cas systems mediated biosensing and applications in food safety detection DOI
Jianghua Liu, Di Wu, Jiahui Chen

et al.

Critical Reviews in Food Science and Nutrition, Journal Year: 2022, Volume and Issue: 64(10), P. 2960 - 2985

Published: Oct. 11, 2022

Food safety, closely related to economic development of food industry and public health, has become a global concern gained increasing attention worldwide. Effective detection technology is great importance guarantee safety. Although several classical methods have been developed, they some limitations in portability, selectivity, sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, efficient amplification abilities, possess superior specificity sensitivity, showing huge potential address aforementioned challenges develop next-generation techniques for safety detection. In this review, we focus on recent progress mediated biosensing their applications monitoring. properties principles commonly used systems are highlighted. Notably, the frequently coupled nucleic acid strategies enhance selectivity especially isothermal methods, as well various output modes also systematically summarized. Meanwhile, application systems-based biosensors including foodborne virus, bacteria, fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, pesticide residues comprehensively described. Furthermore, current future prospects field tentatively discussed.

Language: Английский

Citations

25
Machine Learning-Based Analytical Systems: Food Forensics DOI Creative Commons

Ranbir,

Manish Kumar, Gagandeep Singh

et al.

ACS Omega, Journal Year: 2022, Volume and Issue: 7(51), P. 47518 - 47535

Published: Dec. 16, 2022

Despite a large amount of money being spent on both food analyses and control measures, various food-borne illnesses associated with pathogens, toxins, pesticides, adulterants, colorants, other contaminants pose serious threat to human health, thus safety draws considerable attention in the modern pace world. The presence biogenic amines processed have been frequently considered as primary quality parameter order check freshness spoilage protein-rich food. Various conventional detection methods for detecting hazardous analytes including microscopy, nucleic acid, immunoassay-based techniques employed; however, recently, array-based sensing strategies are becoming popular development highly accurate precise analytical method. Array-based is majorly facilitated by advancements multivariate well machine learning-based approaches. These allow one solve typical problem interpretation complex response patterns generated strategies. Consequently, neural networks enable fast, robust, using sensor arrays. Thus, commercial applications, most focus has shifted toward based electrical chemical Therefore, herein, we briefly highlight review recently reported systems supported learning analytics monitor field forensics.

Language: Английский

Citations

23
Functional nanostructures in analytical chemistry: new insights into the optical and electrochemical sensing of animal hormones in food, environmental and biological samples DOI Creative Commons

Juhi B. Raval,

Vaibhavkumar N. Mehta, Sanjay Jha

et al.

Sensors & Diagnostics, Journal Year: 2023, Volume and Issue: 2(4), P. 815 - 836

Published: Jan. 1, 2023

Nanomaterial integrated analytical techniques for the detection of animal hormones.

Language: Английский

Citations

13
DNA sensing technology a useful food scanning tool DOI
Gheorghe Melinte, Oana Hosu, Cécilia Cristea

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2022, Volume and Issue: 154, P. 116679 - 116679

Published: May 14, 2022

Language: Английский

Citations

22
An aptamer-assisted biological nanopore biosensor for ultra-sensitive detection of ochratoxin A with a portable single-molecule measuring instrument DOI
Tong Li, Zhuoqun Su, Yanan Li

et al.

Talanta, Journal Year: 2022, Volume and Issue: 248, P. 123619 - 123619

Published: May 27, 2022

Language: Английский

Citations

21
Integrating Ordered Two-Dimensional Covalent Organic Frameworks to Solid-State Nanofluidic Channels for Ultrafast and Sensitive Detection of Mercury DOI

Xu‐Qin Ran,

Hai‐Long Qian, Xiu‐Ping Yan

et al.

Analytical Chemistry, Journal Year: 2022, Volume and Issue: 94(23), P. 8533 - 8538

Published: June 2, 2022

Grafting specific recognition moieties onto solid-state nanofluidic channels is a promising way for selective and sensitive sensing of analytes. However, the time-consuming interaction between analytes main hindrance to application channel-based sensors in rapid detection. Here, we show integration ordered two-dimensional covalent organic frameworks (2D COFs) achieve rapid, selective, detection contaminants. As proof concept, thiourea-linked 2D COF (JNU-3) as unit covalently bonded on stable artificial anodic aluminum oxide nanochannels (AAO) fabricate JNU-3@AAO-based sensor. The Hg(II) with highly JNU-3 allows sensor realize ultrafast precise determination (90 s) low limit (3.28 fg mL–1), wide linear range (0.01–100 pg good precision (relative standard deviation 3.8% 11 replicate 10 mL–1). developed method was successfully applied mercury certified reference material A072301c (rice powder), real water, rice samples recoveries 90.4–99.8%. This work reveals great potential COFs-modified contaminants complicated samples.

Language: Английский

Citations

21