2021
DOI: 10.1021/acs.nanolett.1c00852
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Compact Biomimetic Hair Sensors Based on Single Silicon Nanowires for Ultrafast and Highly-Sensitive Airflow Detection

Abstract: Wearable sensors that can mimic functionalities of human bodies have attracted intense recent attention. However, research on wearable airflow sensors is still lagging behind. Herein, we report a biomimetic hair sensor based on a single ultralong silicon nanowire (SiNW-BHS) for airflow detection. In our device, the SiNW can provide both mechanical and electrical responses in airflow, which enables a simple and compact design. The SiNW-BHSs can detect airflow with a low detection limit (<0.15 m/s) and a record-… Show more

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Cited by 34 publications
(35 citation statements)
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“…Compared with the sensors with response times below 1 s, the sensor in this work provides a wider measurement range up to 53.5 ms −1 . It is worth noting that the measured response time (12 ms) is more than three times shorter than the shortest value (40 ms) previously reported in the literature 6 . This remarkable performance can be attributed to the fast photoelectric conversion in the InGaN/GaN MQW diode structure, and the transient response to the electrical pulse signal is as low as 1.2 μs (see Supplementary Information ), which is 2–3 orders of magnitude smaller than that of the previously reported sensor (at submillisecond scales) 11 , 13 .…”
Section: Resultscontrasting
confidence: 52%
See 1 more Smart Citation
“…Compared with the sensors with response times below 1 s, the sensor in this work provides a wider measurement range up to 53.5 ms −1 . It is worth noting that the measured response time (12 ms) is more than three times shorter than the shortest value (40 ms) previously reported in the literature 6 . This remarkable performance can be attributed to the fast photoelectric conversion in the InGaN/GaN MQW diode structure, and the transient response to the electrical pulse signal is as low as 1.2 μs (see Supplementary Information ), which is 2–3 orders of magnitude smaller than that of the previously reported sensor (at submillisecond scales) 11 , 13 .…”
Section: Resultscontrasting
confidence: 52%
“…The velocity measurement and distribution analysis of airflow is of great significance in the fields of atmospheric environmental monitoring, aerodynamic studies, turbine inspection, navigation control, biomedical engineering, and so on 1 5 . Sensing devices employing the principles of thermoresistance 6 – 9 , piezoresistance 10 – 13 , electrical resistance 14 16 , capacitance 17 , magnetoelasticity 18 , and mechanoluminescence 19 have been developed for airflow detection. However, the achievement of a sensor with both fast response and a wide measurement range remains an unsolved challenge.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, sensitivity was defined as the Δ R / R 0 generated by unit gas velocity in the low‐velocity region (unit, s m −1 ), that is, the slope of the Δ R / R 0 versus velocity curve near the detection threshold (Figure 3b), which is similar to the definition of gauge factor in other literature. [ 17,21,40 ] Δ R / R 0 divided by gas velocity was also calculated to represent the sensitivity over the whole detection range (Figure S20, Supporting Information). The sparse network possessed the smallest detection threshold of 0.11 m s −1 , which is one of the best values ever reported (Table S2, Supporting Information).…”
Section: Resultsmentioning
confidence: 99%
“…[ 52 ] The latter is particularly suitable for realizing a high‐density integration of discrete logic or LED units upon elastomer substrate. Furthermore, the semiconducting SiNW channels, by themselves, could also be engineered into elastic spring forms and transferred directly onto PDMS substrate for device fabrication, [ 34 ] similar to the stretchable wavy c‐Si sheets, [ 53 ] ultra‐long Si nanoribbons [ 54 , 55 ] and ultra‐long SiNWs, [ 23 , 56 ] which represent a promising avenue to accomplish fully stretchable and durable high‐performance soft electronics, based on the mature c‐Si technology.…”
Section: Resultsmentioning
confidence: 99%