Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood
Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxid...
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Veröffentlicht in: | Carbohydrate polymers 2023-09, Vol.315, p.120983-120983, Article 120983 |
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creator | Luo, Jingjing Liu, Feihua Yin, Ao Qi, Xue Liu, Jiang Ren, Zhongqi Zhou, Shiqiang Wang, Yuxin Ye, Yang Ma, Qingzhi Zhu, Junjun Li, Kang Zhang, Chen Zhao, Weiwei Yu, Suzhu Wei, Jun |
description | Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H2O2. The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa−1, covering a wide linear working pressure range of 0.06–100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa−1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
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doi_str_mv | 10.1016/j.carbpol.2023.120983 |
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[Display omitted]</description><identifier>ISSN: 0144-8617</identifier><identifier>EISSN: 1879-1344</identifier><identifier>DOI: 10.1016/j.carbpol.2023.120983</identifier><identifier>PMID: 37230620</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Highly sensitive ; Piezoresistive-piezoelectric coupling ; Porous wood ; Pressure sensor</subject><ispartof>Carbohydrate polymers, 2023-09, Vol.315, p.120983-120983, Article 120983</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c365t-7989cde0680947c7d824cc5ba7578bd875d27fe70a61368e5484f2759beb66413</citedby><cites>FETCH-LOGICAL-c365t-7989cde0680947c7d824cc5ba7578bd875d27fe70a61368e5484f2759beb66413</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.carbpol.2023.120983$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37230620$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Luo, Jingjing</creatorcontrib><creatorcontrib>Liu, Feihua</creatorcontrib><creatorcontrib>Yin, Ao</creatorcontrib><creatorcontrib>Qi, Xue</creatorcontrib><creatorcontrib>Liu, Jiang</creatorcontrib><creatorcontrib>Ren, Zhongqi</creatorcontrib><creatorcontrib>Zhou, Shiqiang</creatorcontrib><creatorcontrib>Wang, Yuxin</creatorcontrib><creatorcontrib>Ye, Yang</creatorcontrib><creatorcontrib>Ma, Qingzhi</creatorcontrib><creatorcontrib>Zhu, Junjun</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><creatorcontrib>Zhang, Chen</creatorcontrib><creatorcontrib>Zhao, Weiwei</creatorcontrib><creatorcontrib>Yu, Suzhu</creatorcontrib><creatorcontrib>Wei, Jun</creatorcontrib><title>Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood</title><title>Carbohydrate polymers</title><addtitle>Carbohydr Polym</addtitle><description>Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H2O2. The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa−1, covering a wide linear working pressure range of 0.06–100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa−1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
[Display omitted]</description><subject>Highly sensitive</subject><subject>Piezoresistive-piezoelectric coupling</subject><subject>Porous wood</subject><subject>Pressure sensor</subject><issn>0144-8617</issn><issn>1879-1344</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFUU1vGyEQRVWj2kn6Expx7KHrAssCe6oqK20iWeolOSMWZmOs9bKBXVvO_8j_La6dXDsXNMN7bz4eQl8oWVBCxffNwprYDKFbMMLKBWWkVuUHNKdK1gUtOf-I5oRyXihB5QxdprQhOQQln9CslKwkgpE5er3zT-vugBP0yY9-B9_w3jsohggpTRGw6R3uwr5oIzxP0NsDtmsTjR0h-hdw-B14VAgRNyblaujx4OEl5E-fjrLFvxQ6sGP0FtswDZ3vnzC0bS4l7DMhxDAlvA_BXaOL1nQJPp_fK_T46_ZheVes_vy-X_5cFbYU1VjIWtXWARGK1Fxa6RTj1laNkZVUjVOycky2IIkRtBQKKq54y2RVN9AIwWl5hb6edIcY8nZp1FufLHSd6SHPoplihFBZc5Wh1QlqY0gpQquH6LcmHjQl-uiI3uizI_roiD45knk35xZTswX3znqzIAN-nACQF915iDpZnw8Nzsd8Gu2C_0-Lv8Cqo0k</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Luo, Jingjing</creator><creator>Liu, Feihua</creator><creator>Yin, Ao</creator><creator>Qi, Xue</creator><creator>Liu, Jiang</creator><creator>Ren, Zhongqi</creator><creator>Zhou, Shiqiang</creator><creator>Wang, Yuxin</creator><creator>Ye, Yang</creator><creator>Ma, Qingzhi</creator><creator>Zhu, Junjun</creator><creator>Li, Kang</creator><creator>Zhang, Chen</creator><creator>Zhao, Weiwei</creator><creator>Yu, Suzhu</creator><creator>Wei, Jun</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230901</creationdate><title>Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood</title><author>Luo, Jingjing ; Liu, Feihua ; Yin, Ao ; Qi, Xue ; Liu, Jiang ; Ren, Zhongqi ; Zhou, Shiqiang ; Wang, Yuxin ; Ye, Yang ; Ma, Qingzhi ; Zhu, Junjun ; Li, Kang ; Zhang, Chen ; Zhao, Weiwei ; Yu, Suzhu ; Wei, Jun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-7989cde0680947c7d824cc5ba7578bd875d27fe70a61368e5484f2759beb66413</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Highly sensitive</topic><topic>Piezoresistive-piezoelectric coupling</topic><topic>Porous wood</topic><topic>Pressure sensor</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luo, Jingjing</creatorcontrib><creatorcontrib>Liu, Feihua</creatorcontrib><creatorcontrib>Yin, Ao</creatorcontrib><creatorcontrib>Qi, Xue</creatorcontrib><creatorcontrib>Liu, Jiang</creatorcontrib><creatorcontrib>Ren, Zhongqi</creatorcontrib><creatorcontrib>Zhou, Shiqiang</creatorcontrib><creatorcontrib>Wang, Yuxin</creatorcontrib><creatorcontrib>Ye, Yang</creatorcontrib><creatorcontrib>Ma, Qingzhi</creatorcontrib><creatorcontrib>Zhu, Junjun</creatorcontrib><creatorcontrib>Li, Kang</creatorcontrib><creatorcontrib>Zhang, Chen</creatorcontrib><creatorcontrib>Zhao, Weiwei</creatorcontrib><creatorcontrib>Yu, Suzhu</creatorcontrib><creatorcontrib>Wei, Jun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Carbohydrate polymers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luo, Jingjing</au><au>Liu, Feihua</au><au>Yin, Ao</au><au>Qi, Xue</au><au>Liu, Jiang</au><au>Ren, Zhongqi</au><au>Zhou, Shiqiang</au><au>Wang, Yuxin</au><au>Ye, Yang</au><au>Ma, Qingzhi</au><au>Zhu, Junjun</au><au>Li, Kang</au><au>Zhang, Chen</au><au>Zhao, Weiwei</au><au>Yu, Suzhu</au><au>Wei, Jun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood</atitle><jtitle>Carbohydrate polymers</jtitle><addtitle>Carbohydr Polym</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>315</volume><spage>120983</spage><epage>120983</epage><pages>120983-120983</pages><artnum>120983</artnum><issn>0144-8617</issn><eissn>1879-1344</eissn><abstract>Lightweight and highly compressible materials have received considerable attention in flexible pressure sensing devices. In this study, a series of porous woods (PWs) are produced by chemical removal of lignin and hemicellulose from natural wood by tuning treatment time from 0 to 15 h and extra oxidation through H2O2. The prepared PWs with apparent densities varying from 95.9 to 46.16 mg/cm3 tend to form a wave-shaped interwoven structure with improved compressibility (up to 91.89 % strain under 100 kPa). The sensor assembled from PW with treatment time of 12 h (PW-12) exhibits the optimal piezoresistive-piezoelectric coupling sensing properties. For the piezoresistive properties, it has high stress sensitivity of 15.14 kPa−1, covering a wide linear working pressure range of 0.06–100 kPa. For its piezoelectric potential, PW-12 shows a sensitivity of 0.443 V·kPa−1 with ultralow frequency detection as low as 0.0028 Hz, and good cyclability over 60,000 cycles under 0.41 Hz. The nature-derived all-wood pressure sensor shows obvious superiority in the flexibility for power supply requirement. More importantly, it presents fully decoupled signals without cross-talks in the dual-sensing functionality. Sensor like this is capable of monitoring various dynamic human motions, making it an extremely promising candidate for the next generation artificial intelligence products.
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title | Highly sensitive, wide-pressure and low-frequency characterized pressure sensor based on piezoresistive-piezoelectric coupling effects in porous wood |
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