Literature DB >> 30442391

Multiplex quantification of metals in airborne particulate matter via smartphone and paper-based microfluidics.

Hao Sun1, Yuan Jia2, Hui Dong3, Longxiang Fan4, Jianping Zheng5.   

Abstract

On-site spatial variation study of airborne trace metals has been known to be the key to providing a comprehensive evaluation of air pollution information at any targeted location. However, the existing portable approaches either do not allow sample analysis in the longitudinal direction or is not yet practically applicable due to due to the lack of a portable detection method. In this paper, by integrating paper based colorimetric detection via cellphone and unmanned aerial vehicle (UAV) in-air sampling, we present an approach for on-site multiaxial quantification of airborne trace metals in an arrayed format. Using a self-built sampler mounting on a UAV, our approach enables automatic, multiaxial air PM sampling. In addition, by relying only on a cellphone and a custom-made field reaction kit, samples collected in-air can be readily processed, detected in an arrayed format and interpreted on-site within 30 min. Finally, an ultrafast batch-to-batch paper microfluidic chip fabrication protocol enables 48 chips to be fabricated under 30 s at a cost of 1.92 $, making the approach well-suited for disposable on-site use. Our system was first calibrated for 6 metals commonly found in airborne PM (i.e. Co, Cu, Fe, Mn, Cr and Ni), and the corresponding metals detection limits were found to be 8.16, 45.84, 1.86 × 102, 10.08, 1.52 × 102 and 80.40 ng. The validity of our approach was then demonstrated by characterizing 6 metals commonly found in air PM using a certified ash sample, and the experimentally determined metal weight percentage showed a good agreement with the manufacture certified value. Finally, the approach was used for on-site airborne trace metals spatial variation study at 4 difference locations in Fuzhou City (China), thus demonstrating the significance of our approach in supplementing air pollution information gathering and progressing rapid, on-site air toxicity assessment research.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Multiaxial sampling; On-site analysis; Paper-based microfluidics; Smartphone colorimetric detection

Year:  2018        PMID: 30442391     DOI: 10.1016/j.aca.2018.07.053

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  7 in total

1.  A thermoresponsive microfluidic system integrating a shape memory polymer-modified textile and a paper-based colorimetric sensor for the detection of glucose in human sweat.

Authors:  Jing He; Gang Xiao; Xiaodie Chen; Yan Qiao; Dan Xu; Zhisong Lu
Journal:  RSC Adv       Date:  2019-08-02       Impact factor: 4.036

Review 2.  Recent Advances in Microfluidic Paper-Based Analytical Devices toward High-Throughput Screening.

Authors:  Siraprapa Boobphahom; Mai Nguyet Ly; Veasna Soum; Nayoon Pyun; Oh-Sun Kwon; Nadnudda Rodthongkum; Kwanwoo Shin
Journal:  Molecules       Date:  2020-06-28       Impact factor: 4.411

3.  Smartphone and Paper-Based Fluorescence Reader: A Do It Yourself Approach.

Authors:  Laura Alejandra Ireta-Muñoz; Eden Morales-Narváez
Journal:  Biosensors (Basel)       Date:  2020-06-02

Review 4.  Research progress on the applications of paper chips.

Authors:  Xin Tong; Lu Ga; Ruiguo Zhao; Jun Ai
Journal:  RSC Adv       Date:  2021-02-26       Impact factor: 3.361

Review 5.  Lab-on-a-Chip Platforms for Airborne Particulate Matter Applications: A Review of Current Perspectives.

Authors:  Sharon Ezrre; Marco A Reyna; Citlalli Anguiano; Roberto L Avitia; Heriberto Márquez
Journal:  Biosensors (Basel)       Date:  2022-03-24

Review 6.  Disposable paper-based microfluidics for fertility testing.

Authors:  Misagh Rezapour Sarabi; Defne Yigci; M Munzer Alseed; Begum Aydogan Mathyk; Baris Ata; Cihan Halicigil; Savas Tasoglu
Journal:  iScience       Date:  2022-08-18

7.  [Applications of microfluidic paper-based chips in environmental analysis and detection].

Authors:  Yu Zhang; Ji Qi; Feng Liu; Ning Wang; Xiyan Sun; Rong Cui; Jialuo Yu; Jiaming Ye; Ping Liu; Bowei Li; Lingxin Chen
Journal:  Se Pu       Date:  2021-08
  7 in total

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