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author:

Sun, Hao (Sun, Hao.) [1] | Jia, Yuan (Jia, Yuan.) [2] | Dong, Hui (Dong, Hui.) [3] | Fan, Longxiang (Fan, Longxiang.) [4]

Indexed by:

EI

Abstract:

Rapid on-site analysis of airborne trace metals has been heavily favored over traditional methodologies because air pollutants can be altered by environmental, behavioral, and social patterns at any given time and location. However, existing portable approaches are either not capable of performing integrated on-site analysis or not yet practically applicable. Exploiting graphene oxide (GO) in enhancing the analytical performance of paper-based colorimetric detection, for the first time, this paper reports the development of a practically useful portable system for accurate, sensitive on-site characterization of trace metals in ambient particulate matter (PM). The system consists of GO-nanosheet-coated paper devices, unmanned aerial vehicle multiaxial sampling, and cellphone-based colorimetric detection. The increased specific surface area and the homogeneity of color distribution from the coating of GO improves the accuracy and sensitivity of the assays. Additionally, by leveraging a Wi-Fi camera, a self-developed app and a sample pretreatment cartridge, metal in PM samples can be readily processed and characterized on-site within 30 min. The effects of chip geometric design, pH, reaction volume, and metal interference on detection results have been studied. The detection limits of the system were calibrated to be 16.6, 5.1, and 9.9 ng for metals Fe, Cu, and Ni, respectively, which are comparable to the detection limits of commercial inductively coupled plasma (ICP) instruments, thus making our portable system practically useful. Finally, the system was used for airborne trace-metal study at 6 locations in Fuzhou City (China), and the results obtained using our system demonstrated good agreement with those obtained by the ICP. The significance of our system in supplementing air pollution study and furthering research on rapid, accurate, on-site air toxicity assessment was demonstrated. © 2019, The Author(s).

Keyword:

Aircraft detection Air pollution Antennas Color Colorimetry Graphene Inductively coupled plasma Metals Nanosheets Portable equipment Trace analysis Trace elements

Community:

  • [ 1 ] [Sun, Hao]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Sun, Hao]Fujian Provincial Collaborative Innovation Center of High-End Equipment Manufacturing, Fuzhou; 350001, China
  • [ 3 ] [Jia, Yuan]School of Mechanical Engineering, Southeast University, Nanjing; 210096, China
  • [ 4 ] [Dong, Hui]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Fan, Longxiang]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [sun, hao]fujian provincial collaborative innovation center of high-end equipment manufacturing, fuzhou; 350001, china;;[sun, hao]school of mechanical engineering and automation, fuzhou university, fuzhou; 350116, china

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Source :

Microsystems and Nanoengineering

Year: 2019

Issue: 1

Volume: 5

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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