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For: Wu Y, Zhou Y, Huang H, Chen X, Leng Y, Lai W, Huang X, Xiong Y. Engineered gold nanoparticles as multicolor labels for simultaneous multi-mycotoxin detection on the immunochromatographic test strip nanosensor. Sensors and Actuators B: Chemical 2020;316:128107. [DOI: 10.1016/j.snb.2020.128107] [Cited by in Crossref: 15] [Cited by in F6Publishing: 23] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Qiao W, He B, Ren W, Zhao R, Suo Z, Yan H, Xu Y, Wei M, Jin H. Colloidal Au sphere and nanoflower-based immunochromatographic strips for sensitive detection of zearalenone in cereals. Anal Methods 2022. [PMID: 36168770 DOI: 10.1039/d2ay01365g] [Reference Citation Analysis]
2 Hou S, Ma J, Cheng Y, Wang Z, Yan Y. Overview-gold nanoparticles-based sensitive nanosensors in mycotoxins detection. Crit Rev Food Sci Nutr 2022;:1-16. [PMID: 35916760 DOI: 10.1080/10408398.2022.2095973] [Reference Citation Analysis]
3 Song M, Wu Q, Liu B, Li P, Jiang L, Wang Y, Dong S, Xiong Y, Hammock BD, Zhang C. Using a quantum dot bead-based lateral flow immunoassay to broadly detect the adulteration of PDE-5 inhibitors in functional foods. Anal Methods 2022. [PMID: 35723455 DOI: 10.1039/d2ay00580h] [Reference Citation Analysis]
4 Adunphatcharaphon S, Elliott CT, Sooksimuang T, Charlermroj R, Petchkongkaew A, Karoonuthaisiri N. The evolution of multiplex detection of mycotoxins using immunoassay platform technologies. J Hazard Mater 2022;432:128706. [PMID: 35339833 DOI: 10.1016/j.jhazmat.2022.128706] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
5 Zhang K, Cai H, Lu M, Wei D, Yin J, Ding N, Lai W, Peng J. Quantum dot nanobead immunochromatographic assay based on bispecific monoclonal antibody for the simultaneous detection of aflatoxin B 1 and amantadine. Food and Agricultural Immunology 2022;33:403-18. [DOI: 10.1080/09540105.2022.2080188] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Lin X, Yu W, Tong X, Li C, Duan N, Wang Z, Wu S. Application of Nanomaterials for Coping with Mycotoxin Contamination in Food Safety: From Detection to Control. Crit Rev Anal Chem 2022;:1-34. [PMID: 35584031 DOI: 10.1080/10408347.2022.2076063] [Reference Citation Analysis]
7 Xiao X, Huang Y, Zhao X, Bao H, Lu Z, Shan S, Liu D, Lai W. Intelligently identifiable membrane immunochip sensor based on Braille-like code for simultaneous multi-veterinary drug detection. Sensors and Actuators B: Chemical 2022;359:131571. [DOI: 10.1016/j.snb.2022.131571] [Reference Citation Analysis]
8 Zheng S, Wu T, Li J, Jin Q, Xiao R, Wang S, Wang C. Difunctional immunochromatographic assay based on magnetic quantum dot for ultrasensitive and simultaneous detection of multiple mycotoxins in foods. Sensors and Actuators B: Chemical 2022;359:131528. [DOI: 10.1016/j.snb.2022.131528] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
9 Hou Y, Long N, Jia B, Liao X, Yang M, Fu L, Zhou L, Sheng P, Kong W. Development of a label-free electrochemical aptasensor for ultrasensitive detection of ochratoxin A. Food Control 2022;135:108833. [DOI: 10.1016/j.foodcont.2022.108833] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
10 Kim HJ, Ahn H, Kim H, Park D, Lee JS, Lee BC, Kim J, Yoon DS, Hwang KS. Nanoparticle-based multiplex biosensor utilising dual dielectrophoretic forces for clinical diagnosis of Alzheimer’s disease. Sensors and Actuators B: Chemical 2022;355:131288. [DOI: 10.1016/j.snb.2021.131288] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Wang Z, Zhao J, Xu X, Guo L, Xu L, Sun M, Hu S, Kuang H, Xu C, Li A. An Overview for the Nanoparticles-Based Quantitative Lateral Flow Assay. Small Methods 2022;6:e2101143. [PMID: 35041285 DOI: 10.1002/smtd.202101143] [Cited by in F6Publishing: 4] [Reference Citation Analysis]
12 Al-khedhairy AA, Wahab R. Size-Dependent Cytotoxic and Molecular Study of the Use of Gold Nanoparticles against Liver Cancer Cells. Applied Sciences 2022;12:901. [DOI: 10.3390/app12020901] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Wang L, Sun J, Ye J, Wang L, Sun X. One-step extraction and simultaneous quantitative fluorescence immunochromatography strip for AFB1 and Cd detection in grain. Food Chem 2021;374:131684. [PMID: 34871850 DOI: 10.1016/j.foodchem.2021.131684] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Liao Z, Yao L, Liu Y, Wu Y, Wang Y, Ning G. Progress on nanomaterials based-signal amplification strategies for the detection of zearalenone. Biosensors and Bioelectronics: X 2021;9:100084. [DOI: 10.1016/j.biosx.2021.100084] [Reference Citation Analysis]
15 Li Y, Yuan J, Zhan S, Hu J, Guo Y, Ding L, Huang X, Xiong Y. Dynamic light scattering immunosensor based on metal-organic framework mediated gold growth strategy for the ultra-sensitive detection of alpha-fetoprotein. Sensors and Actuators B: Chemical 2021;341:130030. [DOI: 10.1016/j.snb.2021.130030] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
16 Zhou Y, Huang X, Hu X, Tong W, Leng Y, Xiong Y. Recent advances in colorimetry/fluorimetry-based dual-modal sensing technologies. Biosens Bioelectron 2021;190:113386. [PMID: 34119839 DOI: 10.1016/j.bios.2021.113386] [Cited by in F6Publishing: 14] [Reference Citation Analysis]
17 Wang L, He K, Wang X, Wang Q, Quan H, Wang P, Xu X. Recent progress in visual methods for aflatoxin detection. Crit Rev Food Sci Nutr 2021;:1-18. [PMID: 33955294 DOI: 10.1080/10408398.2021.1919595] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
18 Wang CY, Yang J, Qin JC, Yang YW. Eco-Friendly Nanoplatforms for Crop Quality Control, Protection, and Nutrition. Adv Sci (Weinh) 2021;8:2004525. [PMID: 33977068 DOI: 10.1002/advs.202004525] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
19 Yang T, Duncan TV. Challenges and potential solutions for nanosensors intended for use with foods. Nat Nanotechnol 2021;16:251-65. [DOI: 10.1038/s41565-021-00867-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 25] [Article Influence: 3.0] [Reference Citation Analysis]
20 Li Q, Liang B, Li W, Li W, Sun J, Jiao S, Wang S, Jin Y, Zheng T, Li J. A capillary device made by aptamer-functionalized silica photonic crystal microspheres for the point-of-care detection of Ochratoxin A. Sensors and Actuators B: Chemical 2021;330:129367. [DOI: 10.1016/j.snb.2020.129367] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
21 Jia M, Liao X, Fang L, Jia B, Liu M, Li D, Zhou L, Kong W. Recent advances on immunosensors for mycotoxins in foods and other commodities. TrAC Trends in Analytical Chemistry 2021;136:116193. [DOI: 10.1016/j.trac.2021.116193] [Cited by in Crossref: 11] [Cited by in F6Publishing: 17] [Article Influence: 11.0] [Reference Citation Analysis]
22 Gao S, Wu J, Wang H, Hu S, Meng L. Highly sensitive detection of Cronobacter sakazakii based on immunochromatography coupled with surface-enhanced Raman scattering. J Dairy Sci 2021;104:2748-57. [PMID: 33455767 DOI: 10.3168/jds.2020-18915] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
23 Hao L, Chen J, Chen X, Ma T, Cai X, Duan H, Leng Y, Huang X, Xiong Y. A novel magneto-gold nanohybrid-enhanced lateral flow immunoassay for ultrasensitive and rapid detection of ochratoxin A in grape juice. Food Chem 2021;336:127710. [PMID: 32763739 DOI: 10.1016/j.foodchem.2020.127710] [Cited by in Crossref: 2] [Cited by in F6Publishing: 13] [Article Influence: 1.0] [Reference Citation Analysis]
24 Caglayan MO, Şahin S, Üstündağ Z. Detection Strategies of Zearalenone for Food Safety: A Review. Crit Rev Anal Chem 2020;:1-20. [PMID: 32715728 DOI: 10.1080/10408347.2020.1797468] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]