Learning from Nature: Constructing a Smart Bionic Structure for High‐Performance Glucose Sensing in Human Serums. (3rd October 2021)
- Record Type:
- Journal Article
- Title:
- Learning from Nature: Constructing a Smart Bionic Structure for High‐Performance Glucose Sensing in Human Serums. (3rd October 2021)
- Main Title:
- Learning from Nature: Constructing a Smart Bionic Structure for High‐Performance Glucose Sensing in Human Serums
- Authors:
- Tian, Wenyan
Wan, Caichao
Yong, Ken‐Tye
Liu, Sulai
Wei, Song
Zhang, Chonghao
Liu, Xinyi
Su, Jiahui
Cheng, Wenjie
Wu, Yiqiang - Abstract:
- Abstract: Traditional noble metal‐based catalysts for glucose sensing usually suffer from easy deactivation by halides and weak sensing properties. To unravel these limits, herein, a novel nature‐inspired design concept (mimicking a "rock–soil–grass" geotexture system) is purposed to build a free‐standing hierarchical micro‐nano architecture. Thanks to the design (rigid and conductive Ni foam) ("rock", underlayer, rough and highly disordered graphene nanosheets (GNSs) ("soil", middle‐layer), and strong catalytic activity of multiscale grass‐like Co3 O4 ("grass", top‐layer), the bionic structure achieves ultra‐high sensitivity, a low limit of detection (120 × 10 −9 m ), an extremely short response time, broad linear ranges (two stages: 1–10 000 and 10 000–30 040 µm ), good anti‐Cl − ‐poisoning and anti‐interference properties, and long‐term stability. Besides the structural design, the "gotong‐royong" effects (the strong interface coupling and charge transfer between GNSs and Co3 O4 and energetically favorable glucose adsorption on Co3 O4 ) also contribute to the high sensing properties, as verified by kinetic studies and density functional theory simulation. To determine human blood glucose levels, the self‐made glucometer with the self‐developed software demonstrates an ultra‐high recovery rate (99.0–100.9%), validating the potential for high‐performance blood‐glucose sensing. Abstract : A novel nature‐inspired design concept (mimicking a "rock–soil–grass" geotextureAbstract: Traditional noble metal‐based catalysts for glucose sensing usually suffer from easy deactivation by halides and weak sensing properties. To unravel these limits, herein, a novel nature‐inspired design concept (mimicking a "rock–soil–grass" geotexture system) is purposed to build a free‐standing hierarchical micro‐nano architecture. Thanks to the design (rigid and conductive Ni foam) ("rock", underlayer, rough and highly disordered graphene nanosheets (GNSs) ("soil", middle‐layer), and strong catalytic activity of multiscale grass‐like Co3 O4 ("grass", top‐layer), the bionic structure achieves ultra‐high sensitivity, a low limit of detection (120 × 10 −9 m ), an extremely short response time, broad linear ranges (two stages: 1–10 000 and 10 000–30 040 µm ), good anti‐Cl − ‐poisoning and anti‐interference properties, and long‐term stability. Besides the structural design, the "gotong‐royong" effects (the strong interface coupling and charge transfer between GNSs and Co3 O4 and energetically favorable glucose adsorption on Co3 O4 ) also contribute to the high sensing properties, as verified by kinetic studies and density functional theory simulation. To determine human blood glucose levels, the self‐made glucometer with the self‐developed software demonstrates an ultra‐high recovery rate (99.0–100.9%), validating the potential for high‐performance blood‐glucose sensing. Abstract : A novel nature‐inspired design concept (mimicking a "rock–soil–grass" geotexture system) is purposed to build a free‐standing hierarchical micro‐nano architecture. Thanks to the design and "gotong‐royong" effects, the bionic structure achieves a superb glucose sensing property and stability. The self‐made glucometer with the self‐developed software demonstrates an ultra‐high recovery rate, validating the potential for high‐performance blood‐glucose sensing. … (more)
- Is Part Of:
- Advanced functional materials. Volume 32:Number 1(2022)
- Journal:
- Advanced functional materials
- Issue:
- Volume 32:Number 1(2022)
- Issue Display:
- Volume 32, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 32
- Issue:
- 1
- Issue Sort Value:
- 2022-0032-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-10-03
- Subjects:
- bionic materials -- glucose sensing -- hierarchical structure -- nature‐inspired -- synergistic interaction
Materials -- Periodicals
Chemical vapor deposition -- Periodicals
620.11 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1616-3028 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/adfm.202106958 ↗
- Languages:
- English
- ISSNs:
- 1616-301X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.853900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20535.xml