logo
ResearchBunny Logo
Detection and extraction of heavy metal ions using paper-based analytical devices fabricated via atom stamp printing

Engineering and Technology

Detection and extraction of heavy metal ions using paper-based analytical devices fabricated via atom stamp printing

Y. Guan and B. Sun

Discover a groundbreaking, cost-effective approach to creating microfluidic paper-based analytical devices (µPADs) and a pioneering paper-based solid-liquid extraction device for heavy metals, developed by Yanfang Guan and Baichuan Sun. Their innovative methods hold promise for enhancing food safety and environmental monitoring in resource-limited settings.

00:00
00:00
Playback language: English
Citation Metrics
Citations
0
Influential Citations
0
Reference Count
0

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

Related Publications

Explore these studies to deepen your understanding of the subject.

Understanding the impact of heavy ions and tailoring the optical properties of large-area monolayer WS<sub>2</sub> using focused ion beam
Physics

Understanding the impact of heavy ions and tailoring the optical properties of large-area monolayer WS<sub>2</sub> using focused ion beam

F. Sarcan, N. J. Fairbairn, et al.

Rapid detection of African swine fever virus using Cas12a-based portable paper diagnostics
Veterinary Science

Rapid detection of African swine fever virus using Cas12a-based portable paper diagnostics

S. Lu, F. Li, et al.

Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA
Medicine and Health

Automated detection of intracranial aneurysms using skeleton-based 3D patches, semantic segmentation, and auxiliary classification for overcoming data imbalance in brain TOF-MRA

S. Ham, J. Seo, et al.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny