Machine learning assisted biomimetic flexible SERS sensor from seashells for pesticide classification and concentration prediction
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Abstract
• A new type of stable biomimetic SERS sensor with a shell surface structure has been synthesized. • Combining machine learning to classify and predict pesticide types and concentrations. • The sensor is simple to fabricate, environmentally friendly, and has high performance. Complex surface structures are among the critical materials for fabricating sensors for surface-enhanced Raman scattering. In this study, a novel biomimetic sensor was fabricated by replicating the surface structure of seashells, and uniform silver nanoparticles were imparted to it via in-situ synthesis. The natural surface structure of seashells, characterized by numerous pores, folds, and protrusions, plays a pivotal role in creating…
Citation impact
42
total citations
- FWCI
- 22.53
- Percentile
- 100%
- References
- 59
Citations per year
Authors
13- YWYu WanCorresponding
- WQWei Qian
- HSHao Sun
- HWHanzhaobing Wu
- YZYimin Zhou
Topics & keywords
Topics
Keywords
- Pesticide
- Artificial intelligence
- Materials science
- Nanotechnology
- Computer science
- Pattern recognition (psychology)
- Chromatography
- Chemistry
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