Multiplex Detection of Biomarkers Empowered by Nanomaterials DOI Creative Commons
Zongbo Li, Mingquan Guo, Wenwan Zhong

et al.

Precision Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Language: Английский

Advancements in nanozyme-enhanced lateral flow assay platforms for precision in food authentication DOI Creative Commons
Qianyi Wu, Mohammed Kamruzzaman

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: 147, P. 104472 - 104472

Published: March 28, 2024

Analytical methods play a crucial role in verifying the authenticity of food products to ensure consumer safety, prevent fraud, and maintain regulatory compliance global industry. However, conventional such as DNA testing, spectroscopy, chromatography, heavily reliant on laboratory settings, have posed significant challenges authentication detection. The recent integration nanozymes into lateral flow assays (LFAs) offers robust solution for identifying quantifying contaminations adulterations with improved sensitivity, efficiency, versatility. In this review, advancements nanozyme-enhanced LFAs tailored were examined. A thorough discussion is first presented by exploring diverse catalytic activities. review further highlights nanozyme-incorporated detection across various applications authentication. has significantly heightened precision efficiency Concurrently, advanced contribute developing multi-functional, portable, point-of-care (POC) devices. synergy between nanozyme enhancement results superior compared traditional methods. While successful are highlighted, article also addresses provides forward-looking perspective future ensuring real-world industrial POC applications.

Language: Английский

Citations

8
Hydrogel-innovated nanotechnologies for chemical and biological analysis DOI
Jun Jiang Luo,

Liang Rui Zhu,

Zhishun Guo

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 511, P. 215874 - 215874

Published: April 21, 2024

Language: Английский

Citations

6
Core–satellite-structured magnetic nanozyme enables the ultrasensitive colorimetric detection of multiple drug residues on lateral flow immunoassay DOI

Changyue Xu,

Shuai Zheng, Xuan Xia

et al.

Analytica Chimica Acta, Journal Year: 2024, Volume and Issue: 1325, P. 343115 - 343115

Published: Aug. 15, 2024

Language: Английский

Citations

5
Dual-modal lateral flow immunoassay based on cauliflower-like ReS2@Pt core-shell nanospheres mediated ultra-sensitive detection of deoxynivalenol in food samples DOI
Boyang Sun,

Haiyu Wu,

Jia Pei

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 497, P. 155533 - 155533

Published: Sept. 8, 2024

Language: Английский

Citations

5
“Cave Effect” Induces Self-Assembled Bimetallic Hollow Structure for Three-in-One Lateral Flow Immunoassay DOI

Qiushuang Wu,

Xi Jia,

Lihua Li

et al.

Nano Letters, Journal Year: 2024, Volume and Issue: 24(20), P. 5993 - 6001

Published: April 24, 2024

Bimetallic hollow structures have attracted much attention due to their unique properties, but they still face the problems of nonuniform alloys and excessive etching leading structural collapse. Here, uniform bimetallic nanospheres are constructed by pore engineering then highly loaded with hemin (Hemin@MOF). Interestingly, in presence polydopamine (PDA), competitive coordination between anionic polymer (γ-PGA) dimethylimidazole does not lead collapse external framework self-assembly into a structure. By constructing Hemin@MOF immune platform using

Language: Английский

Citations

4
Recent advances of nanozyme-enhanced lateral flow assay sensing in clinic diagnosis DOI

Haoxuan Xiong,

Peipei Hu, Meimei Zhang

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111602 - 111602

Published: Sept. 7, 2024

Language: Английский

Citations

4
MOF Scaffold for Anchoring Platinum-nickel Nanoparticles with Enhanced Oxidase-like Activity to Improve Lateral Flow Immunoassay Diagnosis DOI

Shen Jin,

Yinghan Wang, Zongfan Duan

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: 273, P. 117189 - 117189

Published: Jan. 21, 2025

Language: Английский

Citations

0
Catalytic boost in dual-active sites hierarchical hollow nanozymes: An enhanced robust and sensitive immunochromatographic assay for Aspergillus flavus DOI
Meijuan Liang,

Xiaofeng Hu,

Du Wang

et al.

Biosensors and Bioelectronics, Journal Year: 2025, Volume and Issue: 277, P. 117223 - 117223

Published: Feb. 9, 2025

Language: Английский

Citations

0
Ru nanoclusters engineer Prussian blue analog nanocubes for multiple active sites synergistic catalysis enabling high-performance bacterial detection DOI
Kaixuan Ma, Yuanyuan Cao,

Chenyu Xuan

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160553 - 160553

Published: Feb. 1, 2025

Language: Английский

Citations

0
Dual-Mode Colorimetric/SERS Lateral Flow Immunoassay with Machine Learning-Driven Optimization for Ultrasensitive Mycotoxin Detection DOI
Boyang Sun,

Haiyu Wu,

Fang Tong

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Detecting and quantifying mycotoxins using LFIA are challenging due to the need for high sensitivity accuracy. To address this, a dual-mode colorimetric-SERS was developed detecting deoxynivalenol (DON). Rhodium nanocores provided strong plasmonic properties as SERS substrate, while silver nanoparticles created electromagnetic "hotspots" enhance signal sensitivity. Finite element modeling optimized field intensity, Prussian blue generated distinct at 2156 cm-1, effectively reducing background interference. This achieved detection limit of 4.21 pg/mL, 37 times lower than that colloidal gold-based (0.156 ng/mL). Machine learning algorithms, including ANN KNN, enabled precise classification quantification contamination, achieving 98.8% accuracy an MSE 0.57. These results underscore platform's potential analyzing harmful substances in complex matrices demonstrate important role machine learning-enhanced nanosensors advancing technologies.

Language: Английский

Citations

0