Stability evaluation of quartz crystal microbalances coated with polyvinyl acetate nanofibrous mats as butanol vapor sensors

Rianjanu, Aditya; Nurfani, Eka; Arif, Muhamad Fatikul; Triyana, Kuwat; Wasisto, Hutomo Suryo

doi:10.1016/j.mtcomm.2020.101770

Cited by 13 publications

(13 citation statements)

References 37 publications

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“…1. 50,51 PVAc (Sigma-Aldrich, molecular weight (M r ) 500 000 g mol À1 ) with a concentration of 15 wt% was mixed with citric acid (Merck) having different concentrations of 2, 4, 6, and 8 wt%. The mixture was then dissolved in N,N-dimethyl formamide (DMF) (Merck) and subsequently stirred at room temperature for 30 min at a stirring speed of 900 rpm to increase its solution homogeneity.…”

Section: Nanofiber Sensor Fabricationmentioning

confidence: 99%

“…From our previous studies, it has been proven that the reduction of the active membrane surface area caused by swelling of the nanofibers is responsible for sensor performance degradation after several months of storage and use. 50,65 Fig. 6f shows the cross-sensitivity of the PVAc/CA8 nanofiber sensor exposed to various analyte vapors.…”

Section: Sensing Performancementioning

confidence: 99%

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Room-temperature ppb-level trimethylamine gas sensors functionalized with citric acid-doped polyvinyl acetate nanofibrous mats

et al. 2021

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Section: Nanofiber Sensor Fabricationmentioning

confidence: 99%

Section: Sensing Performancementioning

confidence: 99%

Room-temperature ppb-level trimethylamine gas sensors functionalized with citric acid-doped polyvinyl acetate nanofibrous mats

et al. 2021

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“…This gas sensing con guration utilizing microsyringe for vapor injection has already been used in our former experiments for other VOC sensor types (e.g., nano berfunctionalized QCMs). 36,70,71 Acetone was chosen as a VOC model because it is not only produced in the rebreathed breath (0.8 to 2.0 ppm) 72 but also indicated as one of the signi cant breath-borne COVID-19 biomarkers based on the study by Chen et al 62 Moreover, in the clinical practices, breath-containing acetone has also been extensively examined to diagnose some other diseases (i.e., lung cancer, diabetes mellitus, starvation, and ketogenic diet). 73 From the obtained measurement results shown in Figures S2b and c, the S3 and S7 sensors (or their extracted features of F3 and F7) demonstrated the poorest responses toward acetone vapors.…”

Section: Sensor Characteristics To Exhaled Breathsmentioning

confidence: 99%

Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition

Nurputra

Kusumaatmadja

Hakim

et al. 2021

Preprint

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Despite its high accuracy to detect the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) approach possesses several limitations (e.g., the lengthy invasive procedure, the reagent availability, and the requirement of specialized laboratory, equipment, and trained staffs). We developed and employed a low-cost, noninvasive method to rapidly sniff out the coronavirus disease 2019 (COVID-19) based on a portable electronic nose (GeNose C19) integrating metal oxide semiconductor gas sensor array, optimized feature extraction, and machine learning models. This approach was evaluated in profiling tests involving a total number of 615 breath samples (i.e., 333 positive and 282 negative COVID-19 confirmed by RT-qPCR) obtained from 83 patients in two hospitals located in the Special Region of Yogyakarta, Indonesia. Four different machine learning algorithms (i.e., linear discriminant analysis (LDA), support vector machine (SVM), stacked multilayer perceptron (MLP), and deep neural network (DNN)) were utilized to identify the top-performing pattern recognition methods and to obtain high system detection accuracy (88–95%), sensitivity (86–94%), specificity (88–95%) levels from the testing datasets. Our results suggest that GeNose C19 can be considered a highly potential breathalyzer for fast COVID-19 screening.

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“…Previous studies have demonstrated that adding some acid into the polymer structure proofs to enhance the sensitivity of the electrospun nanofiber to detect ammonia vapors. They used hydrophilic polymer, i. e., polyvinyl acetate (PVAc), as the template polymer [39–42] . Although the sensor shows a significant enhancement in the sensor sensitivity, the sensor dependence on the humidity changes during the detection process still becomes a setback.…”

Section: Introductionmentioning

confidence: 99%

Electrospun Polyacrylonitrile Nanofibers Mixed with Citric Acid as a Quartz Crystal Microbalance Ammonia Vapor Sensor

et al. 2022

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The detection of ammonia vapor in the air is always challenging and in great demand, with the main issues are their low sensitivity. In this contribution, we developed a quartz crystal microbalance (QCM) gas sensor to detect ammonia vapor in the air using electrospun polyacrylonitrile (PAN) nanofiber mixed with citric acid (CA) as its sensing material. The nanostructured morphology of the as‐prepared nanofiber sensors was confirmed using scanning electron microscopy (SEM), while the existence of the CA in the PAN/CA nanofiber confirms using Fourier transform infrared (FTIR) spectroscopy. The average diameter of the PAN and PAN/CA nanofiber sample was found in the range of 260 nm to 307 nm. The highest sensor sensitivity was obtained by the PAN/CA4 nanofiber sensor with the value of 0.28 Hz/ppm, increasing almost 4 times compared to the unmodified PAN nanofiber sensor (0.075 Hz/ppm). Moreover, the sensor also shows good reversibility, fast response/recovery time, and excellent repeatability sensing performance. The addition of CA into the PAN nanofiber structures enhances the sensor sensitivity, probably due to the enrichment of carboxyl group at the sensor surface. This work could become a promising and alternative way to enhance the sensitivity of a QCM gas sensor modified with polymers doped with suitable compounds.

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Stability evaluation of quartz crystal microbalances coated with polyvinyl acetate nanofibrous mats as butanol vapor sensors

Cited by 13 publications

References 37 publications

Room-temperature ppb-level trimethylamine gas sensors functionalized with citric acid-doped polyvinyl acetate nanofibrous mats

Room-temperature ppb-level trimethylamine gas sensors functionalized with citric acid-doped polyvinyl acetate nanofibrous mats

Fast and noninvasive electronic nose for sniffing out COVID-19 based on exhaled breath-print recognition

Electrospun Polyacrylonitrile Nanofibers Mixed with Citric Acid as a Quartz Crystal Microbalance Ammonia Vapor Sensor

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