A portable multi-channel fluorescent paper-based microfluidic chip based on smartphone imaging for simultaneous detection of four heavy metals.

Aptamer biosensor Fluorescence Heavy metal ions Multiple targets detection Paper-based microfluidic chip

Journal

Talanta
ISSN: 1873-3573
Titre abrégé: Talanta
Pays: Netherlands
ID NLM: 2984816R

Informations de publication

Date de publication:
01 Jan 2024
Historique:
received: 29 04 2023
revised: 10 08 2023
accepted: 22 08 2023
medline: 15 9 2023
pubmed: 3 9 2023
entrez: 2 9 2023
Statut: ppublish

Résumé

Due to the excessive contamination of heavy metals pollution, it is very urgent and necessary to develop a real-time detection method for the heavy metals in food. As a target sensing device, a paper-based microfluidic device (μPAD) has the advantages of simplicity, low-cost, and portability. In this study, a self-driven microfluidic paper-based chip was first developed for the simultaneous detection of four targets. The channels on the microfluidic chip were prepared by using wax printing and automatic screen printing on the filter paper, where liquid flowed by capillary force without pump assistance. Based on the specific binding ability of aptamers to heavy metals, a "turn-on" fluorescence aptasensor for the simultaneous detection of four heavy metal ions was developed on the proposed multi-channel device via smartphone imaging. The obtained fluorescence images were digitized into RGB color values by Image J software, and an M-mode was established to realize the quantitative detection of heavy metal ions. Under optimal conditions, the limits of detection for lead(II), mercury(II), cadmium(II), and arsenic(III) were 4.20 nM, 1.70 nM, 2.04 nM, and 1.65 nM, respectively. Furthermore, the aptasensor was successfully applied to the quantitative detection of four heavy metal ions in apple and lettuce samples with recovery rates of 84.0%-104.1%.

Identifiants

pubmed: 37659229
pii: S0039-9140(23)00863-9
doi: 10.1016/j.talanta.2023.125112
pii:
doi:

Substances chimiques

Metals, Heavy 0
Arsenic N712M78A8G
Cadmium 00BH33GNGH
Coloring Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

125112

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest We declare that we have no financial and personal relationships with otherr people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled.

Auteurs

Min Yuan (M)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Chen Li (C)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China; Qingdao Institute of Technology, Shandong, China.

Yuzhu Zheng (Y)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Hui Cao (H)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Tai Ye (T)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Xiuxiu Wu (X)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Liling Hao (L)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Fengqin Yin (F)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Jinsong Yu (J)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China.

Fei Xu (F)

Shanghai Engineering Research Center of Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, China. Electronic address: xufei8135@126.com.

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