Broad Bandwidth, Self‐Powered Acoustic Sensor Created by Dynamic Near‐Field Electrospinning of Suspended, Transparent Piezoelectric Nanofiber Mesh

Wang, Wenyu; Stipp, Patrick N.; Ouaras, Karim; Fathi, Saeed; Huang, Yan Yan Shery

doi:10.1002/smll.202000581

Cited by 39 publications

(57 citation statements)

References 34 publications

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“…The sensor sensitivity ( S ) for acoustoelectric conversion can be calculated by Equation () [ 20,34 ]

\begin{matrix} S = \frac{V}{P} = \frac{V}{P_{ref} 10^{{SPL}_{dB} / 20}} \end{matrix}

where V is the voltage output of the acoustic device, P is the sound pressure, P ref is the reference sound pressure with a constant value of 20 μPa, and SPL dB is SPL in decibel. Figure 2e shows the effect of SPL on the PAN nanofiber membrane device sensitivity when the sound frequency is maintained at 230 Hz.…”

Section: Resultsmentioning

confidence: 99%

“…The PAN nanofiber device could reach a sensitivity as high as 23 401 mV Pa −1 (≈23.4 V Pa −1 ) under 70 dB SPL sound at 90 Hz, which is much higher than most of the reported sensitivity values of the acoustic devices in the literature (see a sensitivity comparison summary in Table S1, Supporting Information). [18][19][20]34,35] Due to the limited functionality of our audio speakers used in this study, the lowest sound frequencies that can be generated by the speaker at 90, 80, and 70 dB were 140, 100, and 90 Hz, respectively. Therefore, the sound conversion at a lower frequency was not measured.…”

Section: Resultsmentioning

confidence: 99%

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High‐Performance Voice Recognition Based on Piezoelectric Polyacrylonitrile Nanofibers

Shao

Wang

Cao

et al. 2021

Adv Elect Materials

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Acoustic sensors show a wide application in diverse fields. However, it is still a challenge to develop highly sensitive transducing materials for the detection of low‐to‐middle decibel sounds. Herein, for the first time the remarkable property of an acoustic sensor based on electrospun polyacrylonitrile (PAN) nanofibers in the recognition of human voices is reported. The nanofiber device shows a sensitivity as high as 23 401 mV P−1 to 70 dB sound, which is much higher than most of the acoustic sensors reported in the literature. First the sounds from different musical instruments are used as a standard sound source to show the high accuracy of the nanofiber device to distinguish different sounds, e.g., from both the same and different instruments, and then people's voices are tested. Experimental results show that the device can distinguish people's voices with high resolution and the influence of background noise on speech recognition is very small. The acoustic sensor is stable and can be used in sound detection for a long time. Electrospun PAN membranes may be useful for the development of voice recognition systems for security, environmental protection, scientific research, and other high‐tech applications.

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“…The sensor sensitivity ( S ) for acoustoelectric conversion can be calculated by Equation () [ 20,34 ]

\begin{matrix} S = \frac{V}{P} = \frac{V}{P_{ref} 10^{{SPL}_{dB} / 20}} \end{matrix}

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

High‐Performance Voice Recognition Based on Piezoelectric Polyacrylonitrile Nanofibers

Shao

Wang

Cao

et al. 2021

Adv Elect Materials

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“…Piezoelectric polymers, such as polyvinylidene fluoride (PVDF) and its copolymers, have excellent flexibility, high piezoelectricity, and good responsiveness to various environmental stimuli ( e.g. , ultrasonic vibration, 17 mechanical deformations, 18,19 and acoustic vibration 20,21 ), and can be used as wearable and implantable biomedical devices. 22,23 Furthermore, these piezoelectric polymers can generate electric charges/potentials on their surface under mechanical vibration owing to the reorientation of internal dipoles, and consequently provide effective electrical stimulation to promote tissue repair and regeneration 24–26 Poly(vinylidenefluoride- co -trifluoroethylene) (P(VDF–TrFE)) is a semi-crystalline polymer and the molar ratio of the TrFE component typically ranges from 20–50 mol%.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound-activable piezoelectric membranes for accelerating wound healing

et al. 2022

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“…It indicates a high potential to identify the diseases such as laryngitis, spasmodic dysphonia and neurological voice disorder that paves the way of new diagnostic techniques in healthcare sector. [41][42][43][44][45]…”

Section: Introductionmentioning

confidence: 99%

Surface Potential Tuned Single Active Material Comprised Triboelectric Nanogenerator for a High Performance Voice Recognition Sensor

Babu¹,

Malik²,

Das³

et al. 2022

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To fabricate a high‐performance and ultrasensitive triboelectric nanogenerator (TENG), choice of a combination of different materials of triboelectric series is one of the prime challenging tasks. An effective way to fabricate a TENG with a single material (abbreviated as S‐TENG) is proposed, comprising electrospun nylon nanofibers. The surface potential of the nanofibers are tuned by changing the voltage polarity in the electrospinning setup, employed between the needle and collector. The difference in surface potential leads to a different work function that is the key to design S‐TENG with a single material only. Further, S‐TENG is demonstrated as an ultrahigh sensitive acoustic sensor with mechanoacoustic sensitivity of ≈27 500 mV Pa–1. Due to high sensitivity in the low‐to‐middle decibel (60–70 dB) sounds, S‐TENG is highly capable in recognizing different voice signals depending on the condition of the vocal cord. This effective voice recognition ability indicates that it has high potential to open an alternative pathway for medical professionals to detect several diseases such as neurological voice disorder, muscle tension dysphonia, vocal cord paralysis, and speech delay/disorder related to laryngeal complications.

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Broad Bandwidth, Self‐Powered Acoustic Sensor Created by Dynamic Near‐Field Electrospinning of Suspended, Transparent Piezoelectric Nanofiber Mesh

Cited by 39 publications

References 34 publications

High‐Performance Voice Recognition Based on Piezoelectric Polyacrylonitrile Nanofibers

High‐Performance Voice Recognition Based on Piezoelectric Polyacrylonitrile Nanofibers

Ultrasound-activable piezoelectric membranes for accelerating wound healing

Surface Potential Tuned Single Active Material Comprised Triboelectric Nanogenerator for a High Performance Voice Recognition Sensor

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