Humidity Sensing Properties of Chitosan by Using Quartz Crystal Microbalance Method

Havare, Ali; İlgü,; Okur, Salih; Şanlı‐Mohamed, Gülşah

doi:10.1166/sl.2012.2585

Cited by 21 publications

(12 citation statements)

References 19 publications

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“…To monitor the humidity level inside the chamber, we used the calibrated humidity and temperature sensor SHT31. The humidity variation process is similar to that reported previously (Hidayat et al, 2017). Moreover, the frequency resonance and frequency shift of the QCM sensor were measured using a laboratory-made frequency counter, as reported previously (Rianjanu et al, 2018a;Triyana et al, 2018).…”

Section: Methodsmentioning

confidence: 64%

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Quartz crystal microbalance coated with PEDOT–PSS/PVA nanofiber for a high-performance humidity sensor

Julian

Rianjanu

Hidayat

et al. 2019

J. Sens. Sens. Syst.

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Abstract. Quartz crystal microbalance (QCM) coated with poly(3,4-ethylenedioxythiophene) and polystyrene sulfonate mixed with polyvinyl alcohol (PEDOT–PSS/PVA) nanofiber has been fabricated as a humidity sensor using the electrospinning method. Three types of PEDOT–PSS/PVA nanofiber sensors are fabricated with different needle-to-collector electrospinning distances. The scanning electron microscope images confirm the presence of beads in the nanofiber structure. The results show that the sensor mass deposition increased with the decrease in needle-to-collector distance. The best sensor performance is exhibited by the sample with medium needle-to-collector distance (QCM NF 2). The QCM NF 2 nanofiber sensor shows excellent sensitivity of up to 33.56 Hz per percentage point of relative humidity, with rapid response (5.6 s) and recovery (3.5 s) times, good linearity, excellent repeatability, low hysteresis, and long-term stability and response. The QCM PEDOT–PSS/PVA nanofiber sensor provides a simple method to fabricate high-performance humidity sensors.

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Section: Methodsmentioning

confidence: 64%

“…The schematic illustration of the experimental setup used in the humidity test is shown in Fig. 2 and similar to that reported previously (Hidayat et al, 2017). Three types of QCM coated with nanofiber were placed at the top part inside the sensing chamber.…”

Section: Methodsmentioning

confidence: 97%

Quartz crystal microbalance coated with PEDOT–PSS/PVA nanofiber for a high-performance humidity sensor

Julian

Rianjanu

Hidayat

et al. 2019

J. Sens. Sens. Syst.

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show abstract

“…Response and recovery times were measured to be 40 and 60 s for the MES-1 sensor, respectively. This is relatively high compared to some humidity sensors [36,46,[48][49][50], but the MES-1 sensor still shows better response and recovery time compared to some other types of humidity sensors [51,52]. Moreover, in the previous studies, humidity sensor sensitivities have been reported to be 29.1 [53], 0.54 [54], 41.1 [55], 9.4 [56], and 23.1 Hz/%RH [57].…”

Section: Resultsmentioning

confidence: 97%

Magnetoelastic Humidity Sensors with TiO2 Nanotube Sensing Layers

Atalay

İzgi

Kolat

et al. 2020

Sensors

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In this study, TiO2 nanotubes (TiO2-NTs) are coated with a drop-casting method on Fe40Ni38Mo4B18 amorphous ferromagnetic ribbons and the humidity response of the prepared magnetoelastic sensors (MES) is investigated. The synthesis of TiO2-NTs is performed using a hydrothermal process. Sample characterization is carried out using X-ray diffraction and scanning electron microscopy. The results show that the sensors can measure moisture values in the range of 5% to 95% with very high precision and very low hysteresis. The humidity variation between 5% and 95% shows a change in the sensor resonance frequency of ~3180 Hz, which is a significant change compared to many magnetoelastic humidity sensors developed so far.

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“…Work is done by Ayad et al, and Wang et al, were on the functionalisation of the conductive polymers PANI and PEI to aid in the performance of the chitosan-based QCM sensor respectively. The use of both PANI [111] and PEI [50] with chitosan have tremendously improved the performance of the sensor. However, the properties of the polymer used to functionalize with chitosan play a crucial role in determining the selectivity of the sensing layer.…”

Section: Polymer With Compositesmentioning

confidence: 99%

“…Ayad et al highlighted the improvement of the QCM sensor by using doped and dedoped Chitosan/PANI sensing layer in detecting amine compounds and alcohols. The sensitivity of the sensor has greatly increased from 26.23 Hz/mgL −1 for methylamine and 22.2 Hz/mgL −1 to 251.5 Hz/mgL −1 and 449 Hz/mgL −1 respectively for amines and alcohols [111]. This result is illustrating the selectivity of the sensing layer towards amine compounds as it only improved the sensitivity towards ethyl alcohol by about double the dedoped chitosan/PANI at 3.4 Hz/mgL −1 .…”

Section: Polymer With Compositesmentioning

confidence: 99%

Advanced vapour sensing materials: Existing and latent to acoustic wave sensors for VOCs detection as the potential exhaled breath biomarkers for lung cancer

Hekiem

Ralib

Hattar

et al. 2021

Sensors and Actuators A: Physical

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Lung cancer is the leading cause of death worldwide and has a significant impact on public health across society. Among all types of cancer, lung cancer is typically silent and it is commonly diagnosed at a later stage where treatment is rarely achievable. There is an urgent need for the development of the early diagnosis of lung cancer for an improved survival rate. Preliminary research shows that lung cancer is accompanied by increased oxidative stress which generates volatile organic compounds (VOCs). Hence, breath analysis offers the most promising solution for the early diagnosis of lung cancer as it is noninvasive and radiation free. Potential VOCs biomarkers in exhaled breath associated with oxidative stress and lipid peroxidation have been discussed to provide a quick approach to the diagnosis of lung cancer. Although gas chromatography-mass spectroscopy (GC-MS) able to analyze the VOCs biomarker, it is bulky, high cost, required expertise to handle and consumes a lot of time. Hence, the sensor-based technique provides the solution to overcome the limitation. Recently, acoustic wave sensors such as quartz crystal microbalance (QCM) and surface acoustic wave sensors (SAW) have been used to identify the presence of VOCs in various applications. This is due to its high selectivity, good reproducibility, and fast response sensing materials. The selection of vapour sensing materials plays a crucial role in developing a highly sensitive and selective and fast response acoustic wave sensors. For this purpose, various types of sensing layers from metal oxides, polymers, biopolymers and composites have been studied. We present a critical review of advanced vapour sensing materials that are primarily used in acoustic wave sensors in identifying the presence of various VOCs. Criteria to evaluate the performance of the acoustic wave sensors such as resonance frequency and sensitivity are also discussed.

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Humidity Sensing Properties of Chitosan by Using Quartz Crystal Microbalance Method

Cited by 21 publications

References 19 publications

Quartz crystal microbalance coated with PEDOT–PSS/PVA nanofiber for a high-performance humidity sensor

Quartz crystal microbalance coated with PEDOT–PSS/PVA nanofiber for a high-performance humidity sensor

Magnetoelastic Humidity Sensors with TiO2 Nanotube Sensing Layers

Advanced vapour sensing materials: Existing and latent to acoustic wave sensors for VOCs detection as the potential exhaled breath biomarkers for lung cancer

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