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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Food & Water Sign in to save

Plasmonic-based Raman sensor for ultra-sensitive detection of pharmaceutical waste

Environmental Science Nano 2024 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mohamed Hamode, Alon Krause, Maria Shehadeh, Bruria Schmerling, Tchiya Zar, Iddo Pinkas, David Zitoun, Adi Salomon

Summary

This paper is not relevant to microplastics research; it describes a plasmonic Raman sensor for detecting pharmaceutical contaminants in water and food — the sensor uses surface-enhanced Raman spectroscopy (SERS) but is focused on pharmaceutical waste, not plastic particles.

Pharmaceutical waste and contaminants pose a significant global concern for water and food safety.

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