ArticleScientific reports2024
Machine learning driven methodology for enhanced nylon microplastic detection and characterization.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Biological and Biomedical Applications of Optical Photothermal Infrared Spectroscopy (O-PTIR).Applied spectroscopy · 2026Review
- Emerging analytical technologies for detecting microplastics and nanoplastics in food: bridging challenges and innovations.Analytical and bioanalytical chemistry · 2026Review
- Nano- and Microplastics in the Cardiovascular System: Current Insights and Biological Implications.Nanomaterials (Basel, Switzerland) · 2026Review
- Integrating microplastics into thermal biology in an insect.Ecotoxicology (London, England) · 2026Article
- Valorising Whey: From Environmental Burden to Bio-Based Production of Value-Added Compounds and Food Ingredients.Foods (Basel, Switzerland) · 2025Review
- Artificial intelligence-driven detection of microplastics in food: A comprehensive review of sources, health risks, detection techniques, and emerging artificial intelligence solutions.Food chemistry: X · 2025Review
- Deep-learning enabled rapid and low-cost detection of microplastics in consumer products following on-site extraction and image processing.RSC advances · 2025Article
- Assessment of environmental and socioeconomic drivers of urban stormwater microplastics using machine learning.Scientific reports · 2025Article
- The Role of Artificial Intelligence and Machine Learning in Polymer Characterization: Emerging Trends and Perspectives.Chromatographia · 2025Article
- Assessment of submicron bone tissue composition in plastic-embedded samples using optical photothermal infrared (O-PTIR) spectral imaging and machine learning.Journal of structural biology: X · 2024Article
- A tutorial on optical photothermal infrared (O-PTIR) microscopy.APL photonics · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In recent years, the field of microplastic (MP) research has evolved significantly; however, the lack of a standardized detection methodology has led to incomparability across studies. Addressing this gap, our current study innovates a reliable MP detection system that synergizes sample processing, machine learning, and optical photothermal infrared (O-PTIR) spectroscopy. This approach includes examining high-temperature filtration and alcohol treatment for reducing non-MP particles and utilizing a support vector machine (SVM) classifier focused on key wavenumbers that could discriminate between nylon MPs and non-nylon MPs (1077, 1541, 1635, 1711 cm
Identifiers
What OpenQuestion 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 OpenQuestion graph.