Polyacrylonitrile Nanofiber-Based Quartz Crystal Microbalance for Sensitive Detection of Safrole
Aditya Rianjanu 1,*
, Roto Roto 2,3, Trisna Julian 1, Shidiq Nur Hidayat 1, Ahmad Kusumaatmaja 1,3, Eko Agus Suyono 4 and Kuwat Triyana 1,3,*
, Roto Roto 2,3, Trisna Julian 1, Shidiq Nur Hidayat 1, Ahmad Kusumaatmaja 1,3, Eko Agus Suyono 4 and Kuwat Triyana 1,3,*
1
Department of Physics, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281, Indonesia
2
Department of Chemistry, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281, Indonesia
3
Nanomaterial Research Group, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281, Indonesia
4
Department of Biology, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281, Indonesia
*
Authors to whom correspondence should be addressed.
Sensors 2018, 18(4), 1150; https://doi.org/10.3390/s18041150
Received: 6 March 2018 / Revised: 26 March 2018 / Accepted: 2 April 2018 / Published: 10 April 2018
(This article belongs to the Section Chemical Sensors)
Abstract
Safrole is the main precursor for producing the amphetamine-type stimulant (ATS) drug, N-methyl-3,4-methylenedioxyamphetamine (MDMA), also known as ecstasy. We devise a polyacrylonitrile (PAN) nanofiber-based quartz crystal microbalance (QCM) for detecting safrole. The PAN nanofibers were fabricated by direct electrospinning to modify the QCM chips. The PAN nanofiber on the QCM chips has a diameter of 240 ± 10 nm. The sensing of safrole by QCM modified with PAN nanofiber shows good reversibility and an apparent sensitivity of 4.6 Hz·L/mg. The proposed method is simple, inexpensive, and convenient for detecting safrole, and can be an alternative to conventional instrumental analytical methods for general volatile compounds. View Full-TextKeywords:
polyacrylonitrile nanofiber; gas sensor; ecstasy; MDMA; safrole; quartz crystal microbalance
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Rianjanu, A.; Roto, R.; Julian, T.; Hidayat, S.N.; Kusumaatmaja, A.; Suyono, E.A.; Triyana, K. Polyacrylonitrile Nanofiber-Based Quartz Crystal Microbalance for Sensitive Detection of Safrole. Sensors 2018, 18, 1150.
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