Treffer: Magnetic microsphere based droplet microarray for high-throughput screening of multiple chemical residues in milk.

Title:
Magnetic microsphere based droplet microarray for high-throughput screening of multiple chemical residues in milk.
Authors:
Liu C; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; Department of Dermatology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China., Zhai P; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; Faculty of Information Technology, Macau University of Science and Technology, Macau 999078, China., Luo P; Key Laboratory of Food Safety Risk Assessment, Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China., Zhang H; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China., Zou B; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China., Liao M; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China., Jiang W; Department of Nutrition and Food Hygiene, School of Public Health, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China. Electronic address: jiangwenxiao@szu.edu.cn.
Source:
Food chemistry [Food Chem] 2025 Nov 15; Vol. 492 (Pt 2), pp. 145509. Date of Electronic Publication: 2025 Jul 09.
Publication Type:
Journal Article; Evaluation Study
Language:
English
Journal Info:
Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE
Imprint Name(s):
Publication: Barking : Elsevier Applied Science Publishers
Original Publication: Barking, Eng., Applied Science Publishers.
Contributed Indexing:
Keywords: Antibacterial agents; Droplet microarray; Food safety; Mycotoxins; Quadplexed immunoassay
Substance Nomenclature:
6795-23-9 (Aflatoxin M1)
5E8K9I0O4U (Ciprofloxacin)
JE42381TNV (Sulfamethoxazole)
Entry Date(s):
Date Created: 20250717 Date Completed: 20250915 Latest Revision: 20250915
Update Code:
20250916
DOI:
10.1016/j.foodchem.2025.145509
PMID:
40675073
Database:
MEDLINE

Weitere Informationen

In this paper, aflatoxin M <subscript>1</subscript> , sulfamethoxazole, ciprofloxacin, and lincomycin were selected as model analytes, and we introduced a novel quadplex droplet microarray format for simultaneous screening of multiple chemical residues in milk samples. The droplet microarray relied on micro-volume shallow-well microplate combined with microspheres-based suspension array. In the new established droplet microarrays, the consumption of samples and immunoreagents was reduced by 80 %. While, the antigen-antibody binding process can be completed in as little as 5 min. The limit of detection was evaluated to be 0.023 μg/kg for aflatoxin M <subscript>1</subscript> , 5.68 μg/kg for sulfamethoxazole, 0.85 μg/kg for ciprofloxacin, and 2.65 μg/kg for lincomycin. The recoveries of the target analytes from spiked milk were 79.7 %-102.6 %, with the coefficients of variation not larger than 10.6 %. The newly developed droplet microarray has been demonstrated with good validity and sensitivity by comparing it with the conventional immunoassays and instrumental methods.
(Copyright © 2025 Elsevier Ltd. All rights reserved.)

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Wenxiao Jiang reports financial support was provided by National Natural Science Foundation of China (No. 31972763). Wenxiao Jiang reports financial support was provided by Guangdong Basic and Applied Basic Research Foundation (No. 2023A1515012152 and No. 2022A1515110369). Wenxiao Jiang reports financial support was provided by Shenzhen Science and Technology Program (No. JCYJ20190808160003705) and Shenzhen Peacock Talent Program. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.