Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/51060
Title: Sensor application and mathematical modeling of new Zn(II) phthalocyanine containing 26-membered tetraoxadithia macrocycle moieties
Authors: Baygu, Yasemin
Çapan, İnci
Çapan, Rıfat
Erdoğan, Matem
Açıkbaş, Yaser
Kabay, Nilgun
Gök, Yaşar
Buyukkabasakal, Kemal
Keywords: Synthetic macrocycle
zinc(II) phthalocyanine
Cyclotetramerization
Langmuir-Blodgett
thin film
QCM
Chemical sensor
Films
Substituents
Publisher: Elsevier
Abstract: A novel phthalonitrile containing 26-member tetraoxadithia macrocycle moiety was synthesized in a multistep reaction sequence. New zinc(II) phthalocyanine was obtained by the cyclomerization reaction of this macrocyclic phthalonitrile. The novel phthalocyanine and the precursor compounds have been characterized by a combination of 1H and 13C NMR, FT-IR, UV-vis, elemental analysis and MALDI-TOF mass spectral data. 26-membered phthalocyanine was used to fabricate multilayered Langmuir-Blodgett (LB) thin films dedicated to investigating the gas sensing properties of these novel phthalocyanine materials. SEM images of the uncoated substrate, 8layered and 16-layered LB thin films were compared to observe the successfully transferred layer by layer onto the solid substrates. Sensor parameters such as selectivity, reproducibility, thickness effect, recovery and response rates were examined for highly toxic benzene and toluene vapors using the mass sensitive Quartz Crystal Microbalance (QCM) technique. The first time the thickness effect on the gas sensing mechanism for selected material was also investigated. Validation of the experimental measurements of QCM kinetic was implemented using nonlinear autoregressive with exogenous input neural network for modelling using the frequency shift value. Comparison of these frequency shift of artificial neural network with real-experimental data showed the accuracy of the artificial neural network model.
URI: https://doi.org/10.1016/j.inoche.2023.110553
https://hdl.handle.net/11499/51060
ISSN: 1387-7003
1879-0259
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tavas Meslek Yüksekokulu Koleksiyonu
Teknoloji Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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