Surface acoustic wave devices for chemical sensing and microfluidics: a review and perspective

Go, David B.; Atashbar, Massood Z.; Ramshani, Zeinab; Chang, Hsueh‐Chia

doi:10.1039/c7ay00690j

Cited by 170 publications

(115 citation statements)

References 189 publications

(213 reference statements)

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“…The sensing mechanism of surface acoustic wave (SAW)-type sensors is as follows: the captured molecules on the surface of the SAW device functionalized with synthetic receptors affect the frequency of the SAW, suggesting that the shifts in the frequency reflect the sensing information of the receptors sensitively [90]. Although the detection of various gas molecules such as volatile organic compounds (VOCs) has been demonstrated using SAW-based sensors modified with molecular assemblies [55,91,92], the sensing of aqueous molecules utilizing the combination of SAW devices with synthetic receptors is still rare due to the low signal-to-noise ratio of SAW sensors in aqueous media [90]. Recently, Zhang et al reported an amplification strategy for the output signal in the SAW-based sensor in the detection of biomolecules (exosomes) by using biomaterial-functionalized nanoparticles [93].…”

Section: Nanosensor Platforms Based On Other Physical Parametersmentioning

confidence: 99%

The Power of Assemblies at Interfaces: Nanosensor Platforms Based on Synthetic Receptor Membranes

Minamiki

Ichikawa

Kurita

2020

Sensors

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Synthetic sensing materials (artificial receptors) are some of the most attractive components of chemical/biosensors because of their long-term stability and low cost of production. However, the strategy for the practical design of these materials toward specific molecular recognition in water is not established yet. For the construction of artificial material-based chemical/biosensors, the bottom-up assembly of these materials is one of the effective methods. This is because the driving forces of molecular recognition on the receptors could be enhanced by the integration of such kinds of materials at the 'interfaces', such as the boundary portion between the liquid and solid phases. Additionally, the molecular assembly of such self-assembled monolayers (SAMs) can easily be installed in transducer devices. Thus, we believe that nanosensor platforms that consist of synthetic receptor membranes on the transducer surfaces can be applied to powerful tools for high-throughput analyses of the required targets. In this review, we briefly summarize a comprehensive overview that includes the preparation techniques for molecular assemblies, the characterization methods of the interfaces, and a few examples of receptor assembly-based chemical/biosensing platforms on each transduction mechanism.Synthetic receptors (i.e., artificial molecular recognition materials) are some of the most suitable platform materials for the development of chemical/biosensors owing to their chemical/physical stability, low cost of production, and their fine-tuning ability to select the required targets [4]. However, the preparation of artificial receptor-based sensors for practical applications is still in its initial stages, since the analyte specificity of most of the artificial materials is generally lower than that of biomaterials (i.e., antibodies and enzymes) [5]. To improve the binding affinity between the artificial receptors and the analytes, complicated synthesis procedures are required. Hence, a simpler way to improve the sensing ability of the artificial receptors should be considered to bring out the attractive features of these materials. To facilitate this, bottom-up integration of the receptors as molecular assemblies is considered as one of the most useful approaches for the construction of selective sensing fields for analytes. Moreover, the sensing features in the artificial receptor-based sensors could be finely tuned by using top-down technologies (e.g., molecular imprinting techniques [6], etc.) because the molecular recognition ability of the receptor assemblies depends on their nanostructures [7]. As aforementioned, the molecular assembly enhances the functions of a single kind of molecule ( Figure 1) [8]. In addition, the driving forces in molecular recognition (i.e., noncovalent interactions) can be amplified at the interfaces such as the boundary portion between the liquid and solid phases [9,10]. Thus, we believe that the installation of artificial receptors at the surface of the sensing portion in selective transducer...

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Section: Nanosensor Platforms Based On Other Physical Parametersmentioning

confidence: 99%

The Power of Assemblies at Interfaces: Nanosensor Platforms Based on Synthetic Receptor Membranes

Minamiki

Ichikawa

Kurita

2020

Sensors

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“…However, studies implementing SAW for detection of DNA with high optimized frequencies are limited. Nonetheless, SAW-based devices may have the opportunity to become a major player with the prospective commercialization of medical devices that require highly sensitive, selective, and cost-effective analysis [36].…”

Section: Mass-basedmentioning

confidence: 99%

Microfluidic Devices for Label-Free DNA Detection

et al. 2018

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Sensitive and specific DNA biomarker detection is critical for accurately diagnosing a broad range of clinical conditions. However, the incorporation of such biosensing structures in integrated microfluidic devices is often complicated by the need for an additional labelling step to be implemented on the device. In this review we focused on presenting recent advances in label-free DNA biosensor technology, with a particular focus on microfluidic integrated devices. The key biosensing approaches miniaturized in flow-cell structures were presented, followed by more sophisticated microfluidic devices and higher integration examples in the literature. The option of full DNA sequencing on microfluidic chips via nanopore technology was highlighted, along with current developments in the commercialization of microfluidic, label-free DNA detection devices.

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“…In addition, the delay between the transmitted and received signal can restrict the real‐time sensing. Therefore, properties of SAW sensors are not appropriate for frequency range of speech recognition …”

Section: Introductionmentioning

confidence: 99%

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

et al. 2019

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Flexible piezoelectric acoustic sensors have been developed to generate multiple sound signals with high sensitivity, shifting the paradigm of future voice technologies. Speech recognition based on advanced acoustic sensors and optimized machine learning software will play an innovative interface for artificial intelligence (AI) services. Collaboration and novel approaches between both smart sensors and speech algorithms should be attempted to realize a hyperconnected society, which can offer personalized services such as biometric authentication, AI secretaries, and home appliances. Here, representative developments in speech recognition are reviewed in terms of flexible piezoelectric materials, self‐powered sensors, machine learning algorithms, and speaker recognition.

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Surface acoustic wave devices for chemical sensing and microfluidics: a review and perspective

Cited by 170 publications

References 189 publications

The Power of Assemblies at Interfaces: Nanosensor Platforms Based on Synthetic Receptor Membranes

The Power of Assemblies at Interfaces: Nanosensor Platforms Based on Synthetic Receptor Membranes

Microfluidic Devices for Label-Free DNA Detection

Flexible Piezoelectric Acoustic Sensors and Machine Learning for Speech Processing

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