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Field readiness of Raman-AI pipelines for microplastic analysis across environmental matrices
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DOI:10.1016/j.jhazmat.2026.143207.png)
Abstract
En 中文
• Frames Raman-AI readiness as workflow evidence, not algorithm ranking. • Audits 61 studies across matrices, modalities, tasks, validation, and reporting. • Shows high accuracy is weak without leakage control and external validation. • Links Raman/SERS acquisition and preprocessing to transferability risk. • Prioritizes benchmarks, uncertainty, interpretability, and multi-site testing.
Journal
IF:
11.3
Papers:
3.9W
Citations:
24.0W
