QCM virtual sensor array: Vapor identification and molecular weight approximation

Speller, Nicholas C.; Siraj, Noureen; McCarter, Kevin S.; Vaughan, Stephanie R.; Warner, Isiah M.

doi:10.1016/j.snb.2017.02.042

Cited by 35 publications

(25 citation statements)

References 37 publications

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“…Later similar responses with the use of ionic liquids were also described [27,28]. The authors of [29] used chromatographic phases as the sensitive layer.…”

Section: Introductionmentioning

confidence: 91%

The role of shear modulus and viscosity of thin organic films on the adsorption response of QCM sensors

Kazantseva¹

2018

Semicond. Phys. Quantum Electron. Optoelectron

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This work reports on the results of numerical calculations of quartz microbalance (QCM) sensors response under adsorption of analyte molecules. The influence of share modulus and viscosity has been studied. It was shown that even in the case of sufficiently thin films (hundreds of nanometers), the viscosity effects can significantly affect the sensor response during adsorption. In the case of sufficiently thick layers, the viscosity effects can turn out to radically change the response of QCM to the adsorption of volatile molecules. Thus, utilizing QCM-based sensors in viscous medium it is necessary to take into account not only mass loaded (adsorbed) onto quartz surface but also effect of viscosity on sensor response.

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“…Later similar responses with the use of ionic liquids were also described [27,28]. The authors of [29] used chromatographic phases as the sensitive layer.…”

Section: Introductionmentioning

confidence: 91%

The role of shear modulus and viscosity of thin organic films on the adsorption response of QCM sensors

Kazantseva¹

2018

Semicond. Phys. Quantum Electron. Optoelectron

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“…Newly developed signal processing and evaluation methods even allow detection and quantification of complex mixtures from one signal response curve [71,85,86]. Furthermore, dual or multiple signal transductions have been exploited, e.g., by evaluating both phase and attenuation shifts of a SAW sensor [87], by determining SAW sensor frequency shifts at different temperatures [88], or by measuring the frequency and dissipation shifts of a QCM sensor at multiple harmonics [89]. When conductive films are used as sensor coatings, changes of both the acoustic wave and the electrical properties of the coating can be evaluated [90][91][92].…”

Section: Array Designsmentioning

confidence: 99%

“…The same measurement method was performed with a QCM sensor coated with a binary blend made of an ionic liquid and a polymer, enabling the discrimination of eight closely related alcohols. Additional evaluation of the respective dissipation values allowed the approximation of the molecular weights from the quotient frequency shift by dissipation shift [89]. This virtual sensor array consisting of one QCM was enhanced to a virtual multi-sensor array, i.e., four QCM sensors were coated with different ionic liquids, and frequency shifts were evaluated at multiple harmonics for each QCM.…”

Section: Acoustic Virtual Sensor Arraysmentioning

confidence: 99%

Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review

Länge

2019

Sensors

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Bulk acoustic wave (BAW) and surface acoustic wave (SAW) sensor devices have successfully been used in a wide variety of gas sensing, liquid sensing, and biosensing applications. Devices include BAW sensors using thickness shear modes and SAW sensors using Rayleigh waves or horizontally polarized shear waves (HPSWs). Analyte specificity and selectivity of the sensors are determined by the sensor coatings. If a group of analytes is to be detected or if only selective coatings (i.e., coatings responding to more than one analyte) are available, the use of multi-sensor arrays is advantageous, as the evaluation of the resulting signal patterns allows qualitative and quantitative characterization of the sample. Virtual sensor arrays utilize only one sensor but combine it with enhanced signal evaluation methods or preceding sample separation, which results in similar results as obtained with multi-sensor arrays. Both array types have shown to be promising with regard to system integration and low costs. This review discusses principles and design considerations for acoustic multi-sensor and virtual sensor arrays and outlines the use of these arrays in multi-analyte detection applications, focusing mainly on developments of the past decade.

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“…Various methods have been adopted to achieve selectivity in a gas sensor [3][4][5][6]. A sensor array in which each sensor is coated with a distinct sensing material has been demonstrated for gas selectivity [3].…”

Section: Introductionmentioning

confidence: 99%

A Langasite Crystal Microbalance Coated with Graphene Oxide-Platinum Nanocomposite as a Volatile Organic Compound Sensor: Detection and Discrimination Characteristics

Leong

Saha

Swamy

et al. 2020

Sensors

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We propose a novel langasite crystal microbalance (LCM) sensor with a graphene-based sensing medium to detect and discriminate volatile organic compounds (VOCs) at room temperature. A thin film of graphene oxide embedded with Pt nanostructures (GO-Pt nanocomposite) was deposited on the electrode surface of the LCM, a thickness-shear acoustic wave resonator. Ethyl acetate, acetic acid, and ethanol were chosen as typical VOCs for this study. Sensitivity and selectivity of coated LCM were investigated for different concentrations of the VOCs by analysing the resonant properties of the sensor. When exposed to VOCs, a negative shift in series resonance frequency was observed due to the mass loading of VOC molecules. Simultaneously, changes in equivalent resistance and parallel resonance frequency of the sensor were also observed due to the interaction of VOCs with charge carriers on the GO-Pt nanocomposite film surface. This dual measurement of both series and parallel resonance frequencies allowed for detection and discrimination of VOCs. Moreover, the high thermal stability of langasite makes the proposed sensor suitable even for harsh environmental conditions.

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QCM virtual sensor array: Vapor identification and molecular weight approximation

Cited by 35 publications

References 37 publications

The role of shear modulus and viscosity of thin organic films on the adsorption response of QCM sensors

The role of shear modulus and viscosity of thin organic films on the adsorption response of QCM sensors

Bulk and Surface Acoustic Wave Sensor Arrays for Multi-Analyte Detection: A Review

A Langasite Crystal Microbalance Coated with Graphene Oxide-Platinum Nanocomposite as a Volatile Organic Compound Sensor: Detection and Discrimination Characteristics

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