ReviewiScience2025
Trapping tiny pollutants: SERS-driven strategies for microplastics and nanoplastics detection.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Ovarian toxic effects of micro- and nanoplastics (Review).Experimental and therapeutic medicine · 2026Review
- Toxic effects of microplastics in aquatic environments and the pathways to sustainable management.RSC advances · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microplastics and nanoplastics are almost everywhere in biological and environmental systems, posing serious risks to human health and ecology. However, due to their complex matrices, varied sizes, and morphologies, their detection and quantification remain challenging. Particularly, Raman and surface-enhanced Raman spectroscopy (SERS) hold great promise for the detection, characterization, and quantification of micro/nanoplastics. In this review, we introduce the Raman and SERS fundamental principles, instrumentation, and SERS substrate design strategies. Particularly, emphasis is placed on SERS-enabled ultrasensitive detection, integration with chemometrics and machine learning tools, culminating in the real-world applicability. Additionally, we elaborate on the current limitations, including signal variability, lack of standardization, and sample preparation challenges. Finally, future directions involving artificial intelligence (AI) integration, substrate engineering, and multi-modal analytical approaches are discussed.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.