Literature DB >> 31677526

A smartphone-integrated ratiometric fluorescence sensing platform for visual and quantitative point-of-care testing of tetracycline.

Tianlin Wang1, Qingsong Mei2, Zhanhui Tao1, Haotian Wu1, Minyang Zhao1, Shuo Wang3, Yaqing Liu4.   

Abstract

A smartphone-integrated ratiometric fluorescent sensing system (DPA-Ce-GMP-Eu) for visual and point-of-care testing (POCT) of tetracycline with high sensitivity and accuracy was developed. The blue fluorescence of DPA-Ce-GMP was changed into red by doping with Eu3+ duo to the energy transfer from Ce3+ to Eu3+. Upon exposure to tetracycline, coordination between Eu3+ and tetracycline blocks energy transfer from Ce3+ to Eu3+, converting the fluorescent color from red to blue. The tetracycline detection can be realized within a wide concentration range from 0.01 μM to 45 μM. The limit of detection (LOD) reaches as low as 6.6 nM. To realize quantitative point-of-care detection in real samples, a portable device with smartphone as signal reader and analyzer is further designed to integrate with the DPA-Ce-GMP-Eu sensing platform. The Color Picker APP installed in the smartphone can convert the Red, Green and Blue (RGB) channels of the fluorescence images into digital values. With milk as real sample, tetracycline can be on-site detected with LOD of 10.8 nM. This developed platform presents a great promise for POCT in practical application with merits of low cost, easy carry, simple operation, and excellent selectivity and repeatability.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fluorescence; Portable device; Ratiometric; Smartphone-based detection; Tetracycline

Mesh:

Substances:

Year:  2019        PMID: 31677526     DOI: 10.1016/j.bios.2019.111791

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


  11 in total

1.  Concentration-dependent photoluminescence carbon dots for visual recognition and detection of three tetracyclines.

Authors:  Ying Liu; Bowen Liu; Pengcheng Huang; Fang-Ying Wu; Lihua Ma
Journal:  Anal Bioanal Chem       Date:  2021-03-02       Impact factor: 4.142

2.  Engineering of 2D artificial nanozyme-based blocking effect-triggered colorimetric sensor for onsite visual assay of residual tetracycline in milk.

Authors:  Yizhong Shen; Yunlong Wei; Zhenmin Liu; Chao Nie; Yingwang Ye
Journal:  Mikrochim Acta       Date:  2022-05-27       Impact factor: 5.833

3.  Synthesis of a cerium-based nanomaterial with superior oxidase-like activity for colorimetric determination of glutathione in food samples.

Authors:  Tianlin Wang; Yuwen Hu; Mengying Liang; Lianjun Song; Tiange Li; Xiya Zhang; Ning Li; Xianqing Huang
Journal:  Mikrochim Acta       Date:  2022-03-03       Impact factor: 5.833

4.  One-Step Detection and Classification of Bacterial Carbapenemases in 10 Minutes Using Fluorescence Identification of β-Lactamase Activity.

Authors:  Yanfang Feng; Joseph W R Swain; Akilan Palanisami; Shoaib Ashraf; Tayyaba Hasan
Journal:  J Clin Microbiol       Date:  2021-08-18       Impact factor: 5.948

5.  Dual-Channel Probe of Carbon Dots Cooperating with Lanthanide Complex Employed for Simultaneously Distinguishing and Sequentially Detecting Tetracycline and Oxytetracycline.

Authors:  Lei Jia; Zhitao Xu; Rujie Chen; Xiangzhen Chen; Jun Xu
Journal:  Nanomaterials (Basel)       Date:  2021-12-31       Impact factor: 5.076

6.  Sensitive and selective determination of tetracycline in milk based on sulfur quantum dot probes.

Authors:  Haixin Lu; Hanqiang Zhang; Yufei Li; Feng Gan
Journal:  RSC Adv       Date:  2021-06-29       Impact factor: 3.361

Review 7.  Smartphone-Based Multiplexed Biosensing Tools for Health Monitoring.

Authors:  Tutku Beduk; Duygu Beduk; Mohd Rahil Hasan; Emine Guler Celik; Jurgen Kosel; Jagriti Narang; Khaled Nabil Salama; Suna Timur
Journal:  Biosensors (Basel)       Date:  2022-07-29

8.  UiO-66-NH2 based fluorescent sensing for detection of tetracyclines in milk.

Authors:  Xiaohui Wang; Xufeng Wang
Journal:  RSC Adv       Date:  2022-08-17       Impact factor: 4.036

9.  A Smartphone Integrated Platform for Ratiometric Fluorescent Sensitive and Selective Determination of Dipicolinic Acid.

Authors:  Xiang Li; Junsong Wu; Huaguang Hu; Fangfang Liu; Jialian Wang
Journal:  Biosensors (Basel)       Date:  2022-08-22

Review 10.  Blood Pressure Sensors: Materials, Fabrication Methods, Performance Evaluations and Future Perspectives.

Authors:  Ahmed Al-Qatatsheh; Yosry Morsi; Ali Zavabeti; Ali Zolfagharian; Nisa Salim; Abbas Z Kouzani; Bobak Mosadegh; Saleh Gharaie
Journal:  Sensors (Basel)       Date:  2020-08-11       Impact factor: 3.576

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