0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessMelamine (Mel) is added illegally to foods and feeds due to its high nitrogen content and high intake, and it causes serious health problems, so it is urgent to build a simple and quick method for detecting Mel in our daily life. In this work, a self‐powered Mel detection method is developed that is based on the newly invented triboelectric nanogenerator (TENG) by using the strong electronegativity property of Mel. In addition, Mel can enhance the electrical output signals of the TENGs by pairing with other triboelectric materials. Thus a high‐sensitive Mel sensor is designed based on polytetrafluoethylene (PTFE) TENG; the output current of TENG increases with the addition of Mel, resulting in largely improved detection limit of Mel with 0.5 ppb and a linear increase range from 1 to 500 ppb. This study not only develops a new type of material for TENG, but also demonstrates an innovative and convenient method for the detection of Mel and other biomaterials.
Huarui Zhu, Ning Wang, Ying Xu, Shuwen Chen, M. Willander, Xia Cao, Zhong Lin Wang (2016). Triboelectric Nanogenerators Based on Melamine and Self‐Powered High‐Sensitive Sensors for Melamine Detection. , 26(18), DOI: https://doi.org/10.1002/adfm.201504505.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2016
Authors
7
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/adfm.201504505
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
