Literature DB >> 26356763

Smartphone based visual and quantitative assays on upconversional paper sensor.

Qingsong Mei1, Huarong Jing2, You Li2, Wuerzha Yisibashaer2, Jian Chen2, Bing Nan Li3, Yong Zhang4.   

Abstract

The integration of smartphone with paper sensors recently has been gain increasing attentions because of the achievement of quantitative and rapid analysis. However, smartphone based upconversional paper sensors have been restricted by the lack of effective methods to acquire luminescence signals on test paper. Herein, by the virtue of 3D printing technology, we exploited an auxiliary reusable device, which orderly assembled a 980nm mini-laser, optical filter and mini-cavity together, for digitally imaging the luminescence variations on test paper and quantitative analyzing pesticide thiram by smartphone. In detail, copper ions decorated NaYF4:Yb/Tm upconversion nanoparticles were fixed onto filter paper to form test paper, and the blue luminescence on it would be quenched after additions of thiram through luminescence resonance energy transfer mechanism. These variations could be monitored by the smartphone camera, and then the blue channel intensities of obtained colored images were calculated to quantify amounts of thiram through a self-written Android program installed on the smartphone, offering a reliable and accurate detection limit of 0.1μM for the system. This work provides an initial demonstration of integrating upconversion nanosensors with smartphone digital imaging for point-of-care analysis on a paper-based platform.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D printing technology; Pesticide thiram; Smartphone; Test paper; Upconversion nanosensor

Mesh:

Substances:

Year:  2015        PMID: 26356763     DOI: 10.1016/j.bios.2015.08.054

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  15 in total

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4.  A Simple Paper-Based Colorimetric Device for Rapid Mercury(II) Assay.

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6.  Color Space Transformation-Based Smartphone Algorithm for Colorimetric Urinalysis.

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7.  Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination.

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8.  Band-pass filter-assisted ratiometric fluorescent nanoprobe composed of N-(2-aminoethyl-1,8-naphthalimide)-functionalized gold nanoclusters for the determination of alkaline phosphatase using digital image analysis.

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Journal:  Mikrochim Acta       Date:  2021-06-01       Impact factor: 5.833

Review 9.  Recent Progresses in Nanobiosensing for Food Safety Analysis.

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Journal:  Sensors (Basel)       Date:  2016-07-19       Impact factor: 3.576

10.  Self-Assembly of Au@Ag Nanoparticles on Mussel Shell To Form Large-Scale 3D Supercrystals as Natural SERS Substrates for the Detection of Pathogenic Bacteria.

Authors:  Kaisong Yuan; Junxia Zheng; Danting Yang; Beatriz Jurado Sánchez; Xiangjiang Liu; Xinjie Guo; Chusheng Liu; Nicoleta Elena Dina; Jingyi Jian; Zhijun Bao; Ziwei Hu; Zhihong Liang; Haibo Zhou; Zhengjin Jiang
Journal:  ACS Omega       Date:  2018-03-09
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