Scopus
YÖKSİS DOI Eşleşti
SJR Q1
An Aminopyridine Bearing Pillar[5]arene-Based QCM Sensor for Chemical Sensing Applications: Design, Experimental Characterization, Data Modeling, and Prediction
IEEE Sensors Journal · Aralık 2020
YÖKSİS Kayıtları
An Aminopyridine Bearing Pillar[5]arene-based QCM Sensor for Chemical Sensing Applications: Design, Experimental Characterization, Data Modeling and Prediction
IEEE SENSORS JOURNAL · 2020 SCI
Prof. Dr. AHMED NURİ KURŞUNLU →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Optical Properties and Swelling Behavior of Fe3O4 Functionalized Graphene Oxide Composite Thin Film
2017 ISSN: 1530-437X SCI-Expanded
Prof. Dr. SALİH ZEKİ BAŞ →
Optical Properties and Swelling Behavior of Fe3O4 Functionalized Graphene Oxide Composite Thin Film
2017 ISSN: 1530-437X SCI-Expanded
Prof. Dr. MUSTAFA ÖZMEN →
Fabrication of thin films of phosphonated calix[4]arene bearing crown ether and their gas sensing properties
2019 ISSN: 1530-437X SCI-Expanded
Prof. Dr. MUSTAFA ÖZMEN →
On/Off Rhodamine-BODIPY-Based Fluorimetric/Colorimetric Sensor for Detection of Mercury (II) in Half-Aqueous Medium
2019 ISSN: 1530-437X SCI-Expanded
Prof. Dr. MUSTAFA YILMAZ →
An Aminopyridine Bearing Pillar[5]arene-based QCM Sensor for Chemical Sensing Applications: Design, Experimental Characterization, Data Modeling and Prediction
2020 ISSN: 1530-437X SCI
Prof. Dr. AHMED NURİ KURŞUNLU →
Pillar[5]arene Based Non-Enzymatic and Enzymatic Tyramine Sensor
2021 ISSN: 1530-437X SCI-Expanded Q2
Prof. Dr. SEMAHAT KÜÇÜKKOLBAŞI →
An Aminopyridine Bearing Pillar[5]arene-Based QCM Sensor for Chemical Sensing Applications: Design, Experimental Characterization, Data Modeling, and Prediction
2020 ISSN: 1530-437X SCI-Expanded
Prof. Dr. MUSTAFA ÖZMEN →
Highly Selective Simultaneous Detection of 1,4-Dihydroxybenzene and 1,2-Dihydroxybenzene Based on CdSe Quantum Dots-Multiwalled Carbon Nanotube Composite
2020 ISSN: 1530-437X SCI-Expanded
Prof. Dr. SALİH ZEKİ BAŞ →
Highly Selective Simultaneous Detection of 1,4-Dihydroxybenzene and 1,2-Dihydroxybenzene Based on CdSe Quantum Dots-Multiwalled Carbon Nanotube Composite
2020 ISSN: 1530-437X SCI
Doç. Dr. CANAN BAŞLAK →
On/Off Rhodamine-BODIPY-Based Fluorimetric/Colorimetric Sensor for Detection of Mercury (II) in Half-Aqueous Medium
2019 ISSN: 1530-437X SCI-Expanded Q2
Doç. Dr. MEHMET OĞUZ →
Fluorescent and Easy-Make Hybrid Sensor Based-on Silica Gel & BODIPY for the Detection of Cu (II) in Aqueous Medium: Fully Characterized, Effective and Visual Data
2022 ISSN: 1530-437X SCI-Expanded Q1
Prof. Dr. AHMED NURİ KURŞUNLU →
Design and Fabrication of a Novel “Turn-On” NIR Fluorescent Sensor Based on Triphenylamine-Isophorone for Cysteine Sensing and its Application to Drug Analysis and Bioimaging
2022 ISSN: 1530-437X SCI-Expanded Q1
Prof. Dr. SERKAN ERDEMİR →
A Ratiometric and Switchable Fluorescent Sensor Based on Calix[4]arene-HBT With a Large Stokes Shift for the Real-Time Detecting of Zn2+ and Cu2+ in Living Cells
2023 ISSN: 1530-437X SCI-Expanded Q1
Doç. Dr. MEHMET OĞUZ →
A novel biosensor based on Pillar[5]arene for effective detection of putrescine: enhanced food safety in protein-rich fish
2024 ISSN: 1530-437X SCI-Expanded Q1
Prof. Dr. AHMED NURİ KURŞUNLU →
A Novel Biosensor Based on Pillar[5]arene for Effective Detection of Putrescine: Enhanced Food Safety in Protein-Rich Fish
2024 ISSN: 1530-437X SCI-Expanded Q1
Prof. Dr. SEMAHAT KÜÇÜKKOLBAŞI →
Makale Bilgileri
Dergi
IEEE Sensors Journal
ISSN1530437X
Yayın TarihiAralık 2020
Cilt / Sayfa20 · 14732-14739
Scopus ID2-s2.0-85096724736
Özet
This study presented that deca pyridin-2-amine bearing Pillar[5]arene (P5-PA) was designed in an appropriate cavity, which acts a part significant role in host-guest interactions of the macrocyclic molecules. P5-PA monolayer was deposited onto suitable substrates as an active layer by using Langmuir-Blodgett (LB) coating technique to examine its vapor sensing capabilities against vapor of some aliphatic hydrocarbons through Quartz Crystal Microbalance (QCM) technique. The kinetic vapor studies were occurred by exposing the P5-PA/LB thin film to different percentage of organic VOCs vapors such as dichloromethane, chloroform and carbon tetrachloride in air-VOCs mixture. The early-time Fick's diffusion law was handled to extract the diffusion coefficients by utilizing QCM data depending real time. It is observed that there were two different regions with two slopes indicating that one belongs to slow surface diffusion and another fast for bulk diffusion into LB thin film. The collected experimental data with 1 Hz sampling frequency was modelled with deep learning models (NARNET and LSTM) which could get satisfactory results on small datasets. The models were trained with 83% samples of data; the remaining 17% data is used to evaluate the developed models prediction performance. The predicted values of models were compared with the original (measured) data in the results section. It is observed from the results; the developed deep learning models have higher than 0.98 correlation coefficient for each vapor, which is satisfactory for prediction applications.
Yazarlar (6)
1
Yaser Acikbas
ORCID: 0000-0003-3416-1083
2
Ahmed Nuri Kursunlu
3
Mustafa Ozmen
ORCID: 0000-0001-5117-9168
4
Rifat Capan
5
Matem Erdogan
6
Gurkan Kucukyildiz
Anahtar Kelimeler
Aminopyridine Bearing Pillar[5]arene
diffusion
Langmuir-Blodgett thin film
neural networks
quartz crystal microbalance
vapor sensing
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Usak University
Usak Turkey
Scimago Dergi (ISSN Eşleşmesi)
IEEE Sensors Journal
Q1
SJR Skoru1,039
H-Index172
YayıncıInstitute of Electrical and Electronics Engineers Inc.
ÜlkeUnited States
Electrical and Electronic Engineering (Q1)
Instrumentation (Q1)
Metrikler
10
Atıf
6
Yazar
6
Anahtar Kelime