Field readiness of Raman-AI pipelines for microplastic analysis across environmental matrices

2026-08-05

PRE

R. Muhammad Nur Nasyrah.

Nurul Muthmainnah Ramlan

Isnaeni Isnaeni

Dahlang Tahir *

DOI：10.1016/j.jhazmat.2026.143207

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• 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.

Field readiness of Raman-AI pipelines for microplastic analysis across environmental matrices

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