Self‐Powered Biomimetic Pressure Sensor Based on Mn–Ag Electrochemical Reaction for Monitoring Rehabilitation Training of Athletes
Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking stat...
Saved in:
| Published in | Advanced science Vol. 11; no. 25; pp. e2401515 - n/a |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Germany
John Wiley & Sons, Inc
01.07.2024
John Wiley and Sons Inc Wiley |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2198-3844 2198-3844 |
| DOI | 10.1002/advs.202401515 |
Cover
Loading…
| Abstract | Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices.
A self‐powered pressure sensor utilizing a potential conversion mechanism based on electrochemical reactions is proposed. The proposed sensor incorporates interdigital electrodes and a microstructured electrolyte to increase the sensitive area. Additionally, a data acquisition and machine learning algorithm system are developed using the sensor microcontroller for real‐time monitoring of sports rehabilitation. |
|---|---|
| AbstractList | Self-powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual-response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper-like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open-circuit voltage of 0.927 V, a short-circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes' rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices.Self-powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual-response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper-like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open-circuit voltage of 0.927 V, a short-circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes' rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO 2 /carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO 2 /carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. A self‐powered pressure sensor utilizing a potential conversion mechanism based on electrochemical reactions is proposed. The proposed sensor incorporates interdigital electrodes and a microstructured electrolyte to increase the sensitive area. Additionally, a data acquisition and machine learning algorithm system are developed using the sensor microcontroller for real‐time monitoring of sports rehabilitation. Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. A self‐powered pressure sensor utilizing a potential conversion mechanism based on electrochemical reactions is proposed. The proposed sensor incorporates interdigital electrodes and a microstructured electrolyte to increase the sensitive area. Additionally, a data acquisition and machine learning algorithm system are developed using the sensor microcontroller for real‐time monitoring of sports rehabilitation. Abstract Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual‐response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper‐like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open‐circuit voltage of 0.927 V, a short‐circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. Self-powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual-response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO2/carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper-like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open-circuit voltage of 0.927 V, a short-circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes’ rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. Self-powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for prolonged and uninterrupted operations. Current piezoelectric and triboelectric sensors well respond to dynamic stimuli while overlooking static stimuli. This study proposes a dual-response potentiometric pressure sensor that responds to both dynamic and static stimuli. The proposed sensor utilizes interdigital electrodes with MnO /carbon/polyvinyl alcohol (PVA) as the cathode and conductive silver paste as the anode. The electrolyte layer incorporates a mixed hydrogel of PVA and phosphoric acid. The optimized interdigital electrodes and sandpaper-like microstructured surface of the hydrogel electrolyte contribute to enhanced performance by facilitating an increased contact area between the electrolyte and electrodes. The sensor features an open-circuit voltage of 0.927 V, a short-circuit current of 6 µA, a higher sensitivity of 14 mV/kPa, and outstanding cycling performance (>5000 cycles). It can accurately recognize letter writing and enable capacitor charging and LED lighting. Additionally, a data acquisition and display system employing the proposed sensor, which facilitates the monitoring of athletes' rehabilitation training, and machine learning algorithms that effectively guide rehabilitation actions are presented. This study offers novel solutions for the future development of smart wearable devices. |
| Author | Cao, Minghui Dhakal, Rajendra Yao, Zhao Li, Yuanyue Yu, Huixin Yang, Ziyan Li, Yang Xu, Qing Wang, Qingzhou |
| AuthorAffiliation | 2 Department of Computer Science and Engineering Sejong University Seoul 05006 South Korea 1 College of Electronics and Information Qingdao University Qingdao 266071 China 3 School of Integrated Circuits Shandong University Jinan 250101 China |
| AuthorAffiliation_xml | – name: 1 College of Electronics and Information Qingdao University Qingdao 266071 China – name: 3 School of Integrated Circuits Shandong University Jinan 250101 China – name: 2 Department of Computer Science and Engineering Sejong University Seoul 05006 South Korea |
| Author_xml | – sequence: 1 givenname: Ziyan surname: Yang fullname: Yang, Ziyan organization: Qingdao University – sequence: 2 givenname: Qingzhou surname: Wang fullname: Wang, Qingzhou organization: Qingdao University – sequence: 3 givenname: Huixin surname: Yu fullname: Yu, Huixin organization: Qingdao University – sequence: 4 givenname: Qing surname: Xu fullname: Xu, Qing organization: Qingdao University – sequence: 5 givenname: Yuanyue surname: Li fullname: Li, Yuanyue email: yyli@qdu.edu.cn organization: Qingdao University – sequence: 6 givenname: Minghui surname: Cao fullname: Cao, Minghui organization: Qingdao University – sequence: 7 givenname: Rajendra surname: Dhakal fullname: Dhakal, Rajendra organization: Sejong University – sequence: 8 givenname: Yang orcidid: 0000-0002-2994-2523 surname: Li fullname: Li, Yang email: yang.li@sdu.edu.cn organization: Shandong University – sequence: 9 givenname: Zhao surname: Yao fullname: Yao, Zhao email: yzh17@qdu.edu.cn organization: Qingdao University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38654624$$D View this record in MEDLINE/PubMed |
| BookMark | eNqFkk1v1DAQQCNUREvplSOKxIXLLv5MnBPalgKVWlGxhavlOJNdrxy72Emr3nrijMQ_7C_B6W6rthLiFGf85s3YnpfZlvMOsuw1RlOMEHmvmos4JYgwhDnmz7IdgisxoYKxrQfr7WwvxhVCCaIlw-JFtk1FwVlB2E72aw62vbn-feovIUCT7xvfmQ56o_PTADEOAfI5uOhDvq9iArzLT9zN9Z_ZIj-0oPvg9RI6o5XNv4HSvUlAm-gT70zvg3GLFF-q2ljTq9vds6CMG-O-zWf90kIP8VX2vFU2wt7mu5t9_3R4dvBlcvz189HB7HiieVGhSVU3HLGqrrVQBa_rgmFdQasLzUomBEZc1KilDYH0qygttCAcSq1K4DxBdDc7Wnsbr1byPJhOhSvplZG3AR8WUoV0eAsSUSh5XTEmSs3qVIwCIxyVmtRMIDW6Pqxd50PdQaPB9UHZR9LHO84s5cJfSIwJQSWmyfBuYwj-5wCxl52JGqxVDvwQJUWs4JiWaCz29gm68kNw6a4SVXKEKGOj8M3Dlu57uXvvBLA1oIOPMUAr9eZZUofGSozkOFlynCx5P1kpbfok7c78z4RNnUtj4eo_tJx9_DEXuEL0L8__4rM |
| CitedBy_id | crossref_primary_10_1039_D4TC03434A crossref_primary_10_1063_5_0238879 crossref_primary_10_1016_j_cej_2024_157865 crossref_primary_10_1016_j_mser_2024_100892 crossref_primary_10_1021_acsnano_4c14157 crossref_primary_10_1002_adfm_202415640 crossref_primary_10_34133_research_0571 crossref_primary_10_1016_j_cej_2025_161328 crossref_primary_10_3390_su16198491 crossref_primary_10_1016_j_cej_2024_154812 crossref_primary_10_1021_acsanm_5c00196 |
| Cites_doi | 10.1038/s41467-023-40953-z 10.1016/j.ceramint.2017.03.195 10.1038/s41563-019-0576-0 10.1039/C6CS00915H 10.1016/j.jpowsour.2020.228742 10.1016/j.matdes.2024.112640 10.1002/advs.202200507 10.1016/j.nanoen.2022.107966 10.1007/s40820-023-01079-5 10.1016/j.cej.2023.144276 10.1016/j.xcrp.2022.101050 10.1016/j.nanoen.2022.107954 10.1002/adma.202205369 10.1002/adma.202308795 10.1016/j.nanoen.2023.108783 10.1016/j.nanoen.2022.107498 10.1016/j.cej.2023.146464 10.1021/acsnano.7b06909 10.1002/adfm.202108856 10.1016/S0926-3373(01)00142-4 10.1002/smll.202305925 10.1016/j.nanoen.2022.108109 10.1021/acsnano.0c03294 10.3389/fbioe.2023.1303142 10.1016/j.nanoen.2023.108237 10.1002/adfm.202300046 10.1038/s41746-019-0150-9 10.1016/j.nanoen.2022.107788 10.1007/s00289-016-1876-z 10.1126/sciadv.aba1062 10.1016/j.nanoen.2021.106330 10.1002/aenm.201701189 10.1039/D2TC00955B 10.1016/j.nanoen.2023.108424 10.1002/adfm.202202145 10.1002/adfm.202303562 10.1002/adfm.202010824 10.1016/j.est.2020.101797 10.1109/TED.2023.3248000 10.1039/D2NA00339B 10.1002/adma.202005970 10.1016/j.nanoen.2021.106798 10.1002/adma.201803621 10.1039/D2EE00004K 10.1088/1361-6439/ace268 10.1016/j.electacta.2017.11.005 10.1002/adfm.202107330 10.1021/acsnano.3c05253 10.1016/j.carbon.2012.10.013 |
| ContentType | Journal Article |
| Copyright | 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH. 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH – notice: 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH. – notice: 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 24P AAYXX CITATION NPM 3V. 7XB 88I 8FK 8G5 ABUWG AFKRA AZQEC BENPR CCPQU DWQXO GNUQQ GUQSH HCIFZ M2O M2P MBDVC PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1002/advs.202401515 |
| DatabaseName | Wiley Online Library Open Access CrossRef PubMed ProQuest Central (Corporate) ProQuest Central (purchase pre-March 2016) Science Database (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Research Library ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central ProQuest Central Student Research Library Prep SciTech Premium Collection Research Library Science Database Research Library (Corporate) ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database Research Library Prep ProQuest Science Journals (Alumni Edition) ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Basic ProQuest Central Essentials ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Central China ProQuest Central ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest Research Library ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic CrossRef Publicly Available Content Database PubMed |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 3 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 4 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Sciences (General) |
| EISSN | 2198-3844 |
| EndPage | n/a |
| ExternalDocumentID | oai_doaj_org_article_03e75b94487c4b5bb3e42507c2b480a4 PMC11220713 38654624 10_1002_advs_202401515 ADVS8190 |
| Genre | article Journal Article |
| GrantInformation_xml | – fundername: Natural Science Foundation of Shandong Province funderid: ZR2021ME052 – fundername: National Natural Science Foundation of China funderid: 61904092; 62181240278; 62301291; 62174068 – fundername: Taishan Scholars Project Special Funds funderid: tsqn202312035 – fundername: Youth Innovation Team Project of Shandong Provincial Education Department funderid: 2022KJ141 – fundername: National Natural Science Foundation of China grantid: 62301291 – fundername: National Natural Science Foundation of China grantid: 62181240278 – fundername: Taishan Scholars Project Special Funds grantid: tsqn202312035 – fundername: National Natural Science Foundation of China grantid: 62174068 – fundername: Youth Innovation Team Project of Shandong Provincial Education Department grantid: 2022KJ141 – fundername: Natural Science Foundation of Shandong Province grantid: ZR2021ME052 – fundername: National Natural Science Foundation of China grantid: 61904092 |
| GroupedDBID | 0R~ 1OC 24P 53G 5VS 88I 8G5 AAFWJ AAHHS AAZKR ABDBF ABUWG ACCFJ ACCMX ACGFS ACUHS ACXQS ADBBV ADKYN ADZMN ADZOD AEEZP AEQDE AFBPY AFKRA AIWBW AJBDE ALMA_UNASSIGNED_HOLDINGS ALUQN AOIJS AVUZU AZQEC BCNDV BENPR BPHCQ BRXPI CCPQU DWQXO EBS GNUQQ GODZA GROUPED_DOAJ GUQSH HCIFZ HYE IAO ITC KQ8 M2O M2P O9- OK1 PIMPY PQQKQ PROAC ROL RPM WIN AAYXX ADMLS AFPKN CITATION EJD IGS PHGZM PHGZT AAMMB AEFGJ AGXDD AIDQK AIDYY NPM 3V. 7XB 8FK MBDVC PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c5690-9bd5049bbc8a65bb641c9efc6c474881058b0f3d2e748a336c825e7ca7e556c43 |
| IEDL.DBID | BENPR |
| ISSN | 2198-3844 |
| IngestDate | Wed Aug 27 01:26:30 EDT 2025 Thu Aug 21 18:32:26 EDT 2025 Thu Jul 10 23:34:52 EDT 2025 Sat Jul 26 03:37:21 EDT 2025 Mon Jul 21 06:02:29 EDT 2025 Thu Apr 24 23:10:38 EDT 2025 Tue Jul 01 04:00:07 EDT 2025 Wed Jan 22 17:18:05 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 25 |
| Keywords | wearable device human health monitoring hydrogel electrolyte biomimetic pressure sensor potentiometry |
| Language | English |
| License | Attribution 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c5690-9bd5049bbc8a65bb641c9efc6c474881058b0f3d2e748a336c825e7ca7e556c43 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0002-2994-2523 |
| OpenAccessLink | https://www.proquest.com/docview/3075003443?pq-origsite=%requestingapplication% |
| PMID | 38654624 |
| PQID | 3075003443 |
| PQPubID | 4365299 |
| PageCount | 11 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_03e75b94487c4b5bb3e42507c2b480a4 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11220713 proquest_miscellaneous_3046513704 proquest_journals_3075003443 pubmed_primary_38654624 crossref_citationtrail_10_1002_advs_202401515 crossref_primary_10_1002_advs_202401515 wiley_primary_10_1002_advs_202401515_ADVS8190 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2024-07-01 |
| PublicationDateYYYYMMDD | 2024-07-01 |
| PublicationDate_xml | – month: 07 year: 2024 text: 2024-07-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Germany |
| PublicationPlace_xml | – name: Germany – name: Weinheim – name: Hoboken |
| PublicationTitle | Advanced science |
| PublicationTitleAlternate | Adv Sci (Weinh) |
| PublicationYear | 2024 |
| Publisher | John Wiley & Sons, Inc John Wiley and Sons Inc Wiley |
| Publisher_xml | – name: John Wiley & Sons, Inc – name: John Wiley and Sons Inc – name: Wiley |
| References | 2017; 7 2023; 35 2023; 14 2023; 33 2023; 11 2021; 89 2023; 17 2019; 31 2022; 93 2023; 15 2019; 2 2017; 43 2020; 480 2020; 14 2023; 108 2023; 107 2020; 32 2020; 19 2018; 47 2022; 100 2023; 20 2020; 6 2017; 74 2021; 32 2021; 31 2022; 3 2022; 4 2018; 259 2024; 238 2023; 470 2023; 476 2023; 111 2022; 9 2013; 53 2022; 34 2023; 116 2022; 15 2008; 24 2022; 10 2022; 32 2018; 12 2022; 104 2023; 70 2022; 103 2001; 32 e_1_2_8_28_1 e_1_2_8_24_1 e_1_2_8_47_1 e_1_2_8_26_1 e_1_2_8_49_1 e_1_2_8_3_1 e_1_2_8_5_1 e_1_2_8_7_1 e_1_2_8_9_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_22_1 e_1_2_8_45_1 e_1_2_8_1_1 e_1_2_8_41_1 e_1_2_8_17_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_32_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_30_1 e_1_2_8_29_1 e_1_2_8_25_1 e_1_2_8_46_1 e_1_2_8_27_1 e_1_2_8_48_1 e_1_2_8_2_1 Adelkhani H. (e_1_2_8_42_1) 2008; 24 e_1_2_8_4_1 e_1_2_8_6_1 e_1_2_8_8_1 e_1_2_8_21_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_40_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_50_1 |
| References_xml | – volume: 32 start-page: 229 year: 2001 publication-title: Appl. Catal., B. – volume: 14 start-page: 5221 year: 2023 publication-title: Nat. Commun. – volume: 20 year: 2023 publication-title: Small. – volume: 32 year: 2022 publication-title: Adv. Funct. Mater. – volume: 10 year: 2022 publication-title: J. Mater. Chem. C. – volume: 111 year: 2023 publication-title: Nano Energy. – volume: 33 year: 2023 publication-title: J. Micromech. Microeng. – volume: 12 start-page: 3209 year: 2018 publication-title: ACS Nano. – volume: 6 year: 2020 publication-title: Sci. Adv. – volume: 11 year: 2023 publication-title: Front. Bioeng. Biotechnol. – volume: 470 year: 2023 publication-title: Chem. Eng. J. – volume: 35 year: 2023 publication-title: Adv. Mater. – volume: 108 year: 2023 publication-title: Nano Energy. – volume: 74 start-page: 2957 year: 2017 publication-title: Polym. Bull. – volume: 47 start-page: 1822 year: 2018 publication-title: Chem. Soc. Rev. – volume: 19 start-page: 428 year: 2020 publication-title: Nat. Mater. – volume: 70 start-page: 1865 year: 2023 publication-title: IEEE Trans. Electron Devices. – volume: 2 start-page: 72 year: 2019 publication-title: npj Digit. Med. – volume: 9 year: 2022 publication-title: Adv. Sci. – volume: 31 year: 2019 publication-title: Adv. Mater. – volume: 43 start-page: 8440 year: 2017 publication-title: Ceram. Int. – volume: 33 year: 2023 publication-title: Adv. Funct. Mater. – volume: 34 year: 2022 publication-title: Adv. Mater. – volume: 53 start-page: 38 year: 2013 publication-title: Carbon. – volume: 15 start-page: 105 year: 2023 publication-title: Nano‐Micro Lett. – volume: 14 year: 2020 publication-title: ACS Nano. – volume: 32 year: 2020 publication-title: J. Energy Storage. – volume: 89 year: 2021 publication-title: Nano Energy. – volume: 7 year: 2017 publication-title: Adv. Energy Mater. – volume: 104 year: 2022 publication-title: Nano Energy. – volume: 238 year: 2024 publication-title: Mater. Des. – volume: 480 year: 2020 publication-title: J. Power Sources. – volume: 476 year: 2023 publication-title: Chem. Eng. J. – volume: 107 year: 2023 publication-title: Nano Energy. – volume: 32 year: 2020 publication-title: Adv. Mater. – volume: 31 year: 2021 publication-title: Adv. Funct. Mater. – volume: 100 year: 2022 publication-title: Nano Energy. – volume: 32 year: 2021 publication-title: Adv. Funct. Mater. – volume: 3 year: 2022 publication-title: Cell Rep. Phys. Sci. – volume: 15 start-page: 1805 year: 2022 publication-title: Energy Environ. Sci. – volume: 17 year: 2023 publication-title: ACS Nano. – volume: 116 year: 2023 publication-title: Nano Energy. – volume: 24 start-page: 857 year: 2008 publication-title: J. Mater. Sci. Technol. – volume: 259 start-page: 466 year: 2018 publication-title: Electrochim. Acta. – volume: 93 year: 2022 publication-title: Nano Energy. – volume: 103 year: 2022 publication-title: Nano Energy. – volume: 4 start-page: 3987 year: 2022 publication-title: Nanoscale Adv. – ident: e_1_2_8_16_1 doi: 10.1038/s41467-023-40953-z – ident: e_1_2_8_43_1 doi: 10.1016/j.ceramint.2017.03.195 – ident: e_1_2_8_34_1 doi: 10.1038/s41563-019-0576-0 – ident: e_1_2_8_44_1 doi: 10.1039/C6CS00915H – ident: e_1_2_8_47_1 doi: 10.1016/j.jpowsour.2020.228742 – ident: e_1_2_8_14_1 doi: 10.1016/j.matdes.2024.112640 – ident: e_1_2_8_38_1 doi: 10.1002/advs.202200507 – ident: e_1_2_8_1_1 doi: 10.1016/j.nanoen.2022.107966 – ident: e_1_2_8_6_1 doi: 10.1007/s40820-023-01079-5 – ident: e_1_2_8_22_1 doi: 10.1016/j.cej.2023.144276 – ident: e_1_2_8_31_1 doi: 10.1016/j.xcrp.2022.101050 – ident: e_1_2_8_24_1 doi: 10.1016/j.nanoen.2022.107954 – ident: e_1_2_8_29_1 doi: 10.1002/adma.202205369 – ident: e_1_2_8_27_1 doi: 10.1002/adma.202308795 – ident: e_1_2_8_4_1 doi: 10.1016/j.nanoen.2023.108783 – ident: e_1_2_8_20_1 doi: 10.1016/j.nanoen.2022.107498 – ident: e_1_2_8_5_1 doi: 10.1016/j.cej.2023.146464 – ident: e_1_2_8_12_1 doi: 10.1021/acsnano.7b06909 – ident: e_1_2_8_30_1 doi: 10.1002/adfm.202108856 – ident: e_1_2_8_40_1 doi: 10.1016/S0926-3373(01)00142-4 – ident: e_1_2_8_26_1 doi: 10.1002/smll.202305925 – ident: e_1_2_8_28_1 doi: 10.1016/j.nanoen.2022.108109 – ident: e_1_2_8_13_1 doi: 10.1021/acsnano.0c03294 – volume: 24 start-page: 857 year: 2008 ident: e_1_2_8_42_1 publication-title: J. Mater. Sci. Technol. – ident: e_1_2_8_11_1 doi: 10.3389/fbioe.2023.1303142 – ident: e_1_2_8_18_1 doi: 10.1016/j.nanoen.2023.108237 – ident: e_1_2_8_15_1 doi: 10.1002/adfm.202300046 – ident: e_1_2_8_50_1 doi: 10.1038/s41746-019-0150-9 – ident: e_1_2_8_21_1 doi: 10.1016/j.nanoen.2022.107788 – ident: e_1_2_8_39_1 doi: 10.1007/s00289-016-1876-z – ident: e_1_2_8_23_1 doi: 10.1126/sciadv.aba1062 – ident: e_1_2_8_49_1 doi: 10.1016/j.nanoen.2021.106330 – ident: e_1_2_8_36_1 doi: 10.1002/aenm.201701189 – ident: e_1_2_8_9_1 doi: 10.1039/D2TC00955B – ident: e_1_2_8_17_1 doi: 10.1016/j.nanoen.2023.108424 – ident: e_1_2_8_19_1 doi: 10.1002/adfm.202202145 – ident: e_1_2_8_3_1 doi: 10.1002/adfm.202303562 – ident: e_1_2_8_33_1 doi: 10.1002/adfm.202010824 – ident: e_1_2_8_41_1 doi: 10.1016/j.est.2020.101797 – ident: e_1_2_8_8_1 doi: 10.1109/TED.2023.3248000 – ident: e_1_2_8_10_1 doi: 10.1039/D2NA00339B – ident: e_1_2_8_32_1 doi: 10.1002/adma.202005970 – ident: e_1_2_8_48_1 doi: 10.1016/j.nanoen.2021.106798 – ident: e_1_2_8_37_1 doi: 10.1002/adma.201803621 – ident: e_1_2_8_35_1 doi: 10.1039/D2EE00004K – ident: e_1_2_8_7_1 doi: 10.1088/1361-6439/ace268 – ident: e_1_2_8_46_1 doi: 10.1016/j.electacta.2017.11.005 – ident: e_1_2_8_25_1 doi: 10.1002/adfm.202107330 – ident: e_1_2_8_2_1 doi: 10.1021/acsnano.3c05253 – ident: e_1_2_8_45_1 doi: 10.1016/j.carbon.2012.10.013 |
| SSID | ssj0001537418 |
| Score | 2.3825626 |
| Snippet | Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for... Self-powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical need for... Abstract Self‐powered pressure detection using smart wearable devices is the subject of intense research attention, which is intended to address the critical... |
| SourceID | doaj pubmedcentral proquest pubmed crossref wiley |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | e2401515 |
| SubjectTerms | biomimetic pressure sensor Electrodes Electrolytes Graphene human health monitoring hydrogel electrolyte Hydrogels Microstructure Monitoring systems Oxidation Polyvinyl alcohol potentiometry Rehabilitation Scanning electron microscopy Sensors Simulation Skin Spectrum analysis wearable device |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxQxFA_Skxexfq5WiSCoh6Gz-ZrscVdailARt4XeQpJ5owvtjGxbzz31XPA_7F_ie5PssItKL16TRwjvY97vZZLfY-yt8VFAJaDQJdSFEqopEBypwoagha8x6fX0xYefzcGx-nSiT9ZafdGdsEQPnBS3W0qodJhgFVFFFXQIEtDNyiqKoGzpeyZQzHlrxVR6HyyJlmXF0liKXV__JHZuTGCUwjeyUE_W_zeE-edFyXUA22eg_YfsQYaOfJq2vM3uQfuIbefgPOfvM4P0h8fseg6nze3VzRdqgQY1ny26s8UZPVfk6TngEvgc69duyWeYxWretfywvb36Nf3G91JfnJiJBPhXSE8fOKJbnr4AdBSI4-sU3_wot5rgXcOndEEDIewTdry_d_TxoMgNF4qosUouJqHWWDGEEK03qGqjxnECTTRRVRjoCMVsKBtZo3WV9VKaiPUlVNFXoDUKyadsq-1aeM64GDe-nsiowYLy2noxNqWNjRnHRnqpR6xYGcDFvFVqinHqEo-ycGQwNxhsxN4N8j8SD8c_JWdkz0GK-LP7AfQql73K3eVVI7az8gaXg_rcSYJXRJEoR-zNMI3hSP9YfAvdJclQc3lZlbjEs-Q8w06ovaoyAmfshlttbHVzpl187ym_ERULOk9AtfUeeIcOHGKaOWG9F_9DGS_ZfVo5XVLeYVsXy0t4hVDsIrzuo-43Bc0yEg priority: 102 providerName: Directory of Open Access Journals – databaseName: Wiley Online Library Open Access dbid: 24P link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEBZteumlNH1ukxQVCm0PJl69rD3uhoQQSAndBHITkiynC4kddpOcc-q50H-YX9IZS-usSUvpVRqErNFovpE13xDyUVnPQsFCJvNQZoKJKgNwJDLtnGS2BKfX0hcfflX7J-LgVJ6uZPFHfojuwg0toz2v0cCtW2zfk4ba8gbptsEjoU9-TJ5gfi2y5zNxdH_LIjnSs2CFOYiuM66FWDI35my7P0TPM7UE_n9CnQ8fT66C2tYr7T0nzxKcpOOo_3XyKNQvyHoy2AX9nFilv7wkP6bhvLq7_XmEZdFCSSez5mJ2gSmMNKYIzgOdQkzbzOkEPFtJm5oe1ne3v8ZndDfWyvGJXIB-CzEdggLipfFUwOtBaF-l_abHqfwEbSo6xkcbAGtfkZO93eOd_SwVYci8hMg5G7lSQhThnNdWSeeUGPpRqLzyogDjB3imXV7xEjQutOVceYg5Q-FtEaQEIf6arNVNHd4SyoaVLUfcy6CDsFJbNlS59pUa-opbLgckWyrA-DRVLJRxbiK3MjOoMNMpbEA-dfKXkZvjr5IT1GcnhZzabUMzPzPJRE3OQyHdCOLVwgsHn8oDHGh54ZkTOrdiQDaXu8EkQ18YjpALaRP5gHzousFE8b-LrUNzjTJYcJ4XOQzxJm6ebiZYclUoBj26t616U-331LPvLQ04IGWGdwywbO0O_McaGMA5U8R_7_5TfoM8xcb4RnmTrF3Nr8MWILEr9741tt_Pwi7C priority: 102 providerName: Wiley-Blackwell |
| Title | Self‐Powered Biomimetic Pressure Sensor Based on Mn–Ag Electrochemical Reaction for Monitoring Rehabilitation Training of Athletes |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fadvs.202401515 https://www.ncbi.nlm.nih.gov/pubmed/38654624 https://www.proquest.com/docview/3075003443 https://www.proquest.com/docview/3046513704 https://pubmed.ncbi.nlm.nih.gov/PMC11220713 https://doaj.org/article/03e75b94487c4b5bb3e42507c2b480a4 |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1LbxMxELZoc-GCKM9AiYyEBBysbvxa54QSSFUhUkVNK_W2sr3eEqndLUnLmQP_gH_YX9KZXWfbqAWuayfyel7fzNrfEPJOW89DygNTSciZ5LJgAI4kM84pbnMIejV98WRf7x3Jr8fqOBbclvFY5con1o46rzzWyHcExjbkpxOfzn8w7BqFX1djC40N0gEXbCD56ozG-9ODmyqLEkjPsmJrTPiOzX8iSzcEMgzla9GoJu2_D2nePTB5G8jWkWj3MXkUISQdNjLfIg9C-YRsRSNd0g-RSfrjU_J7Fk4LNsVGaCGno3l1Nj_DS4u0uRS4CHQGWWy1oCOIZTmtSjopr379GZ7QcdMdx0c6AXoQmgsQFDAubfwAFgTh-W2ib3oYG07QqqBDPKYBQPYZOdodH37eY7HtAvMKcmU2cLmCvME5b6xWzmnZ94NQeO1lCuYOgMy4pBA5yFgaK4T2kGWG1Ns0KAWTxHOyWVZleEko7xc2HwivggnSKmN5XyfGF7rvC2GF6hK22v7Mx6Via4zTrGFT5hmKK2vF1SXv2_nnDRvHX2eOUJrtLGTRrh9Ui5MsGmWWiJAqN4AMNfXSwauKAC4sST130iRWdsn2SheyaNrL7EYRu-RtOwxGiV9abBmqS5yDLeZFmsBfvGhUp10JNlmVmsOIWVOqtaWuj5Tz7zXxN2BjjlUF2LZa__6zBxkgmxkivlf_fo_X5CH-pjmEvE02LxaX4Q1ArQvXIxtcTnukM_wy-TbrRevq1YWLa-7FLS4 |
| linkProvider | ProQuest |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6V9AAXRHkGCiwSCDhYdfZhOweEEkiV0iaqmlTqbdldr0uk1i5JC-LGgX_A_-BH8UuYsdduI16nXr1ja3dnPPPNPr4h5GmkLXMxc4EMXRoIJrIAwJEIEmMk0ykEvZK-eDSOhvvi3YE8WCE_6rsweKyy9omlo04Li2vkGxxjG_LT8dcnHwOsGoW7q3UJjcostt2Xz5CyLV5tvQX9PmNsczB9Mwx8VYHASkgFg65JJcBiY2yiI2lMJDq26zIbWRGDNQPeSEyY8RSGIBLNeWQhiXKx1bGTEoQ4fPcKWRUcUpkWWe0Pxrt756s6kiMdTM0OGbINnX5CVnAInAgdlqJfWSTgT8j29wOaF4FzGfk2b5DrHrLSXmVja2TF5TfJmncKC_rCM1e_vEW-TdxRFuxi4TWX0v6sOJ4d4yVJWl1CnDs6gay5mNM-xM6UFjkd5T-_fu8d0kFVjcd6-gK656oLFxQwNa38Di5AwvOLxOJ06gtc0CKjPTwWAsD5Ntm_FIXcIa28yN09Qlkn02mXW-kSJ7RMNOtEYWKzqGMzrrlsk6CefmV9V7EUx5Gq2JuZQnWpRl1t8ryRP6nYP_4q2UdtNlLI2l0-KOaHyjsBFXIXS9OFjDi2wsBQuQOXGcaWGZGEWrTJem0LyruShTo3_DZ50jSDE8CdHZ274gxlsKQ9j0P4xN3KdJqeYFFXETFoSZaMaqmryy357ENJNA5YnOEqBkxbaX__mQMFSGqCCPP-v8fxmFwdTkc7amdrvP2AXMP3qwPQ66R1Oj9zDwHmnZpH_t-i5P1l_86_AJyCZhs |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NbtQwELbKVkJcEOV3oYCRQMAh2qx_kuwBoV26q5bS1arbSr0Z23HKSm1SdlsQNw68AW_D4_AkzCRO2hV_p15jJ7I945lvnPE3hDyNtGUuZi6QoUsDwUQWADgSQWKMZDoFp1fSF--Mo8198fZAHqyQH_VdGEyrrG1iaajTwuIZeYejb0N-Ot7JfFrEZGP0-uRjgBWk8E9rXU6jUpFt9-UzhG-LV1sbIOtnjI2Ge282A19hILASwsKgZ1IJENkYm-hIGhOJru25zEZWxKDZgD0SE2Y8hemIRHMeWQioXGx17KSEThy-e4WsxhAVhS2yOhiOJ7vnJzySIzVMzRQZso5OPyFDODhRhBFLnrAsGPAnlPt7suZFEF16wdENct3DV9qv9G2NrLj8JlnzBmJBX3gW65e3yLepO8qCCRZhcykdzIrj2TFemKTVhcS5o1OIoIs5HYAfTWmR053859fv_UM6rCrzWE9lQHdddfmCAr6mlQ3Cw0h4fpFknO75Yhe0yGgfU0QARN8m-5cikDuklRe5u0co62Y67XErXeKElolm3ShMbBZ1bcY1l20S1MuvrB8qluU4UhWTM1MoLtWIq02eN_1PKiaQv_YcoDSbXsjgXT4o5ofKGwQVchdL04PoOLbCwFS5A_MZxpYZkYRatMl6rQvKm5WFOt8EbfKkaQaDgH95dO6KM-yD5e15HMIn7laq04wEC7yKiEFLsqRUS0NdbslnH0rSccDlDE80YNlK_fvPGihAVVNEm_f_PY_H5CpsY_Vua7z9gFzD16tc6HXSOp2fuYeA-E7NI7-1KHl_2bv5F0iPalA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Self-Powered+Biomimetic+Pressure+Sensor+Based+on+Mn%E2%80%93Ag+Electrochemical+Reaction+for+Monitoring+Rehabilitation+Training+of+Athletes&rft.jtitle=Advanced+science&rft.au=Yang%2C+Ziyan&rft.au=Wang%2C+Qingzhou&rft.au=Yu%2C+Huixin&rft.au=Xu%2C+Qing&rft.date=2024-07-01&rft.pub=John+Wiley+%26+Sons%2C+Inc&rft.eissn=2198-3844&rft.volume=11&rft.issue=25&rft_id=info:doi/10.1002%2Fadvs.202401515&rft.externalDBID=HAS_PDF_LINK |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2198-3844&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2198-3844&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2198-3844&client=summon |