Research graph
References from Practical applications of AI in the chemical analysis of microplastics. Local targets link to admitted publications; unresolved targets remain external evidence.
Real-time object detection, tracking, and monitoring framework for security surveillance systems
10.1016/j.heliyon.2024.e34922 · 2024 · External reference
Methods and challenges in the detection of microplastics and nanoplastics: A mini-review
10.1002/pi.6348 · 2022 · External reference
Application of hyperspectral imaging technology in the rapid identification of microplastics in farmland soil
10.1016/j.scitotenv.2021.151030 · 2022 · External reference
Microplastics: A cancer-causing agent for humans and prospects for identification using AI and modern approaches
10.1007/s12672-024-01634-5 · 2025 · External reference
Fast detection and classification of microplastics by a wide-field fourier transform raman microscope
10.1021/acs.est.5c00165 · 2025 · External reference
Hyperspectral imaging and its applications: A review
10.1016/j.heliyon.2024.e33208 · 2024 · External reference
Unresolved reference
2025 · External reference
Assessing the efficiency of microplastics extraction methods for tropical beach sediments and matrix preparation for experimental controls
10.3389/fmars.2023.1285041 · 2023 · External reference
Efficient detection of microplastics on edge devices with tailored compiler for TinyML applications
10.1109/access.2025.3567816 · 2025 · External reference
Deep transfer learning benchmark for plastic waste classification
2022 · External reference
An introduction to machine learning tools for the analysis of microplastics in complex matrices
2025 · External reference
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
10.1016/j.powtec.2024.119884 · 2024 · External reference
High-accuracy quantitative segmentation of Sub-10 μm microplastics using hyperspectral deep learning
10.1016/j.microc.2025.115862 · 2025 · External reference
Systematic review of microplastics and nanoplastics in indoor and outdoor air: Identifying a framework and data needs for quantifying human inhalation exposures
10.1038/s41370-023-00634-x · 2024 · External reference
Developing and testing a workflow to identify microplastics using near infrared hyperspectral imaging
10.1016/j.chemosphere.2023.139186 · 2023 · External reference
Assessing the lost fraction: Diversity, abundance, and mass of microplastics (1-300 μm) in aquatic systems
2025 · External reference
Classification of household microplastics using a multi-model approach based on raman spectroscopy
10.1016/j.chemosphere.2023.138312 · 2023 · External reference
Impact of weathering on the chemical identification of microplastics from usual packaging polymers in the marine environment
10.1016/j.aca.2020.11.002 · 2021 · External reference
Weathering-independent differentiation of microplastic polymers by reflectance IR spectrometry and pattern recognition
10.1016/j.marpolbul.2022.113897 · 2022 · External reference
Machine learning and AI in microscopy image analysis
2025 · External reference
Artificial intelligence-empowered collection and characterization of microplastics: A review
10.1016/j.jhazmat.2024.134405 · 2024 · External reference
Determination of particle size distributions of bulk samples using micro-computed tomography and artificial intelligence
10.3390/ma16031002 · 2023 · External reference
Quality criteria for the analysis of microplastic in biota samples: A critical review
10.1021/acs.est.8b01611 · 2018 · External reference
Unresolved reference
2025 · External reference
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
10.1016/j.jhazmat.2024.134865 · 2024 · External reference
Online measurement and segmentation algorithm of coarse aggregate based on deep learning and experimental comparison
10.1016/j.conbuildmat.2022.127033 · 2022 · External reference
Improved neural networks for the classification of microplastics via inferior quality raman spectra
10.1016/j.talanta.2025.127756 · 2025 · External reference
Analytical methods for microplastics in the environment: A review
10.1007/s10311-022-01525-7 · 2023 · External reference
Unresolved reference
2025 · External reference
Optical detection of microplastics in water
10.1007/s11356-021-12358-2 · 2021 · External reference
Chemical analysis of microplastics and nanoplastics: Challenges, advanced methods, and perspectives
10.1021/acs.chemrev.1c00178 · 2021 · External reference
Advances in chemical analysis of micro- and nanoplastics
10.1007/s00216-023-04747-y · 2023 · External reference
Impacts of micro and nanoplastics on human health
10.1186/s42269-024-01268-1 · 2024 · External reference
Health impacts of environmental contamination of micro- and nanoplastics: A review
10.1186/s12199-020-00870-9 · 2020 · External reference
A review of machine learning methods for imbalanced data challenges in chemistry
10.1039/d5sc00270b · 2025 · External reference
Artificial intelligence in microplastic detection and pollution control
10.1016/j.envres.2024.119812 · 2024 · External reference
Current development and future challenges in microplastic detection techniques: A bibliometrics-based analysis and review
10.1177/00368504221132151 · 2022 · External reference
Microplastics in freshwater and marine ecosystems: Occurrence, characterization, sources, distribution dynamics, fate, transport processes, potential mitigation strategies, and policy interventions
10.1016/j.ecoenv.2025.118036 · 2025 · External reference
Microscopic menace: Exploring the link between microplastics and cancer pathogenesis
2025 · External reference
Multimodal imaging using raman spectroscopy and FTIR in a single analytical instrument with a microscope (infrared raman microscopy AIRsight, shimadzu): Opportunities and applications
10.3390/ijms25136884 · 2024 · External reference
Explainable artificial intelligence for the rapid identification and characterization of ocean microplastics
10.3390/microplastics4030051 · 2025 · External reference
Assessment of the sources and inflow processes of microplastics in the river environments of Japan
10.1016/j.envpol.2018.10.111 · 2019 · External reference
Advances in machine learning for the detection and characterization of microplastics in the environment
10.3389/fenvs.2025.1573579 · 2025 · External reference
A deep neural network ensemble of multimodal signals for classifying excavator operations
10.1016/j.neucom.2020.01.127 · 2022 · External reference
Portable surface acoustic wave sensor systems for microplastic detection in beverages
10.1186/s40486-025-00236-2 · 2025 · External reference
Micro- and nanoplastics in the environment: Current state of research, sources of origin, health risks, and Regulations-A comprehensive review
10.3390/toxics13070564 · 2025 · External reference
Modeling the fate and transport of plastic debris in freshwaters: Review and guidance
2018 · External reference
Impact of the preprocessing steps in deep learning-based image classifications
10.1007/s40009-023-01372-2 · 2024 · External reference
Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review
10.1063/5.0240444 · 2024 · External reference
Automatic classification of microplastics and natural organic matter mixtures using a deep learning model
10.1016/j.watres.2023.120710 · 2023 · External reference
Customizable machine-learning models for rapid microplastic identification using raman microscopy
10.1021/acs.analchem.2c02451 · 2022 · External reference
Emerging analytical frontiers in microplastic detection: From spectroscopy to smart sensor technologies
10.1016/j.talo.2025.100514 · 2025 · External reference
Spectral classification of large-scale blended (micro) plastics using FT-IR raw spectra and image-based machine learning
10.1021/acs.est.2c08952 · 2023 · External reference
Comparative analysis of cross-validation techniques: LOOCV, K-folds cross-validation, and repeated K-folds cross-validation in machine learning models, K-Folds cross-validation
2024 · External reference
Thermogravimetric analysis of microplastics: A mini review
10.1016/j.envadv.2021.100117 · 2021 · External reference
Addressing the microplastic crisis: A multifaceted approach to removal and regulation
10.1016/j.envadv.2024.100579 · 2024 · External reference
It matters how we measure - Quantification of microplastics in drinking water by μFTIR and μRaman
10.1016/j.heliyon.2023.e20119 · 2023 · External reference
Overfitting, model tuning, and evaluation of prediction performance
2022 · External reference
Microplastic in situ detection based on a portable triboelectric microfluidic sensor
10.1039/d3ay01286g · 2023 · External reference
Human exposure to microplastics: A review on exposure routes and public health impacts
10.1016/j.hazadv.2024.100487 · 2024 · External reference
Nanoplastics: From separations to analysis—challenges and limitations
10.3390/separations12070185 · 2025 · External reference
Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process
10.1016/j.jpha.2025.101227 · 2025 · External reference
Advanced raman spectroscopy for nanoplastics analysis: Progress and perspective
10.1016/j.trac.2023.117188 · 2023 · External reference
Machine learning for microplastic quantification: Techniques, challenges, and future directions, clean
2025 · External reference
Exploiting weak supervision to facilitate segmentation, classification, and analysis of microplastics (<100 μm) using raman microspectroscopy images
10.1016/j.scitotenv.2023.163786 · 2023 · External reference
Unresolved reference
2024 · External reference
Deep learning analysis for rapid detection and classification of household plastics based on raman spectroscopy
10.1016/j.saa.2024.123854 · 2024 · External reference
Advanced analytical techniques for microplastics in the environment: A review
10.1186/s42269-023-01148-0 · 2023 · External reference
A complete guide to extraction methods of microplastics from complex environmental matrices
10.3390/molecules28155710 · 2023 · External reference
Artificial intelligence-driven detection of microplastics in food: A comprehensive review of sources, health risks, detection techniques, and emerging artificial intelligence solutions
2025 · External reference
A review on microplastics and nanoplastics in the environment: Their occurrence, exposure routes, toxic studies, and potential effects on human health
10.1016/j.marpolbul.2022.113832 · 2022 · External reference
Micro-and nanoplastics in the environment: A comprehensive review on detection techniques
10.1039/d4en00319e · 2025 · External reference
Real-time detection of microplastics using an AI camera
10.3390/s24134394 · 2024 · External reference
A practical primer for image-based particle measurements in microplastic research
10.1186/s43591-023-00064-4 · 2023 · External reference
A novel way to rapidly monitor microplastics in soil by hyperspectral imaging technology and chemometrics
10.1016/j.envpol.2018.03.026 · 2018 · External reference
Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning
10.1016/j.scitotenv.2022.153903 · 2022 · External reference
Microplastics: A review of methodology for sampling and characterizing environmental and biological samples
10.1007/978-1-0716-1514-0_25 · 2021 · External reference
Microplastics in Asia: Overcoming sampling, analysis, and regulatory challenges to protect the Ecosystem–A review
2024 · External reference
Motivation for using data-driven algorithms in research: A review of machine learning solutions for image analysis of micrographs in neuroscience
10.1093/jnen/nlad040 · 2023 · External reference
Random forest microplastic classification using spectral subsamples of FT-IR hyperspectral images
10.1039/d3ay00514c · 2023 · External reference
The role of artificial intelligence and machine learning in polymer characterization: Emerging trends and perspectives
10.1007/s10337-025-04406-7 · 2025 · External reference
Unresolved reference
2025 · External reference
FTIR-based microplastic classification: A comprehensive study on normalization and ML techniques
10.3390/recycling10020046 · 2025 · External reference
Quantitative image analysis of microplastics in bottled water using artificial intelligence
10.1016/j.talanta.2023.124965 · 2024 · External reference
Approaches for sampling and sample preparation for microplastic analysis in laundry effluents
10.3390/su16083401 · 2024 · External reference
A multimodal learning system based on maximum variance convolutional neural networks and laser-induced breakdown spectroscopy for in situ online analysis of heavy metal contamination from atmospheric polyamide microplastics
10.1016/j.sab.2025.107270 · 2025 · External reference
Unresolved reference
2025 · External reference
Comparative evaluation of analytical techniques for quantifying and characterizing polyethylene microplastics in farmland soil samples
2024 · External reference
Development of a machine learning-based method for the analysis of microplastics in environmental samples using μ-Raman spectroscopy
10.1186/s43591-023-00057-3 · 2023 · External reference
Mass spectrometry-based multimodal approaches for the identification and quantification analysis of microplastics in food matrix
10.3389/fnut.2023.1163823 · 2023 · External reference
Machine learning advancements and strategies in microplastic and nanoplastic detection
10.1021/acs.est.4c11888 · 2025 · External reference
An ensemble machine learning method for microplastics identification with FTIR spectrum
10.1016/j.jece.2022.108130 · 2022 · External reference
A critical review on artificial intelligence—based microplastics imaging technology: Recent advances, hot-spots and challenges
2023 · External reference
Advancing microplastic analysis in the era of artificial intelligence: From current applications to the promise of generative AI
10.1016/j.ynexs.2024.100043 · 2024 · External reference
Leveraging deep learning for automatic recognition of microplastics (MPs) via focal plane array (FPA) micro-FT-IR imaging
2023 · External reference
Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning
10.1016/j.jes.2023.12.004 · 2025 · External reference
Methods and challenges in the detection of microplastics and nanoplastics: A mini-review
10.1002/pi.6348 · ExternalCitation · doi-reference
Microplastics: A review of methodology for sampling and characterizing environmental and biological samples
10.1007/978-1-0716-1514-0_25 · ExternalCitation · doi-reference
Advances in chemical analysis of micro- and nanoplastics
10.1007/s00216-023-04747-y · ExternalCitation · doi-reference
Analytical methods for microplastics in the environment: A review
10.1007/s10311-022-01525-7 · ExternalCitation · doi-reference
The role of artificial intelligence and machine learning in polymer characterization: Emerging trends and perspectives
10.1007/s10337-025-04406-7 · ExternalCitation · doi-reference
Optical detection of microplastics in water
10.1007/s11356-021-12358-2 · ExternalCitation · doi-reference
Microplastics: A cancer-causing agent for humans and prospects for identification using AI and modern approaches
10.1007/s12672-024-01634-5 · ExternalCitation · doi-reference
Impact of the preprocessing steps in deep learning-based image classifications
10.1007/s40009-023-01372-2 · ExternalCitation · doi-reference
Impact of weathering on the chemical identification of microplastics from usual packaging polymers in the marine environment
10.1016/j.aca.2020.11.002 · ExternalCitation · doi-reference
Classification of household microplastics using a multi-model approach based on raman spectroscopy
10.1016/j.chemosphere.2023.138312 · ExternalCitation · doi-reference
Developing and testing a workflow to identify microplastics using near infrared hyperspectral imaging
10.1016/j.chemosphere.2023.139186 · ExternalCitation · doi-reference
Online measurement and segmentation algorithm of coarse aggregate based on deep learning and experimental comparison
10.1016/j.conbuildmat.2022.127033 · ExternalCitation · doi-reference
Microplastics in freshwater and marine ecosystems: Occurrence, characterization, sources, distribution dynamics, fate, transport processes, potential mitigation strategies, and policy interventions
10.1016/j.ecoenv.2025.118036 · ExternalCitation · doi-reference
Thermogravimetric analysis of microplastics: A mini review
10.1016/j.envadv.2021.100117 · ExternalCitation · doi-reference
Addressing the microplastic crisis: A multifaceted approach to removal and regulation
10.1016/j.envadv.2024.100579 · ExternalCitation · doi-reference
A novel way to rapidly monitor microplastics in soil by hyperspectral imaging technology and chemometrics
10.1016/j.envpol.2018.03.026 · ExternalCitation · doi-reference
Assessment of the sources and inflow processes of microplastics in the river environments of Japan
10.1016/j.envpol.2018.10.111 · ExternalCitation · doi-reference
Artificial intelligence in microplastic detection and pollution control
10.1016/j.envres.2024.119812 · ExternalCitation · doi-reference
Human exposure to microplastics: A review on exposure routes and public health impacts
10.1016/j.hazadv.2024.100487 · ExternalCitation · doi-reference
It matters how we measure - Quantification of microplastics in drinking water by μFTIR and μRaman
10.1016/j.heliyon.2023.e20119 · ExternalCitation · doi-reference
Hyperspectral imaging and its applications: A review
10.1016/j.heliyon.2024.e33208 · ExternalCitation · doi-reference
Real-time object detection, tracking, and monitoring framework for security surveillance systems
10.1016/j.heliyon.2024.e34922 · ExternalCitation · doi-reference
An ensemble machine learning method for microplastics identification with FTIR spectrum
10.1016/j.jece.2022.108130 · ExternalCitation · doi-reference
Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning
10.1016/j.jes.2023.12.004 · ExternalCitation · doi-reference
Artificial intelligence-empowered collection and characterization of microplastics: A review
10.1016/j.jhazmat.2024.134405 · ExternalCitation · doi-reference
Using artificial intelligence to rapidly identify microplastics pollution and predict microplastics environmental behaviors
10.1016/j.jhazmat.2024.134865 · ExternalCitation · doi-reference
Artificial intelligence-aided endoscopic in-line particle size analysis during the pellet layering process
10.1016/j.jpha.2025.101227 · ExternalCitation · doi-reference
A review on microplastics and nanoplastics in the environment: Their occurrence, exposure routes, toxic studies, and potential effects on human health
10.1016/j.marpolbul.2022.113832 · ExternalCitation · doi-reference
Weathering-independent differentiation of microplastic polymers by reflectance IR spectrometry and pattern recognition
10.1016/j.marpolbul.2022.113897 · ExternalCitation · doi-reference
High-accuracy quantitative segmentation of Sub-10 μm microplastics using hyperspectral deep learning
10.1016/j.microc.2025.115862 · ExternalCitation · doi-reference
A deep neural network ensemble of multimodal signals for classifying excavator operations
10.1016/j.neucom.2020.01.127 · ExternalCitation · doi-reference
In-line image analysis of particulate processes with deep learning: Optimizing training data generation via copy-paste augmentation
10.1016/j.powtec.2024.119884 · ExternalCitation · doi-reference
Deep learning analysis for rapid detection and classification of household plastics based on raman spectroscopy
10.1016/j.saa.2024.123854 · ExternalCitation · doi-reference
A multimodal learning system based on maximum variance convolutional neural networks and laser-induced breakdown spectroscopy for in situ online analysis of heavy metal contamination from atmospheric polyamide microplastics
10.1016/j.sab.2025.107270 · ExternalCitation · doi-reference
Application of hyperspectral imaging technology in the rapid identification of microplastics in farmland soil
10.1016/j.scitotenv.2021.151030 · ExternalCitation · doi-reference
Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning
10.1016/j.scitotenv.2022.153903 · ExternalCitation · doi-reference
Exploiting weak supervision to facilitate segmentation, classification, and analysis of microplastics (<100 μm) using raman microspectroscopy images
10.1016/j.scitotenv.2023.163786 · ExternalCitation · doi-reference
Quantitative image analysis of microplastics in bottled water using artificial intelligence
10.1016/j.talanta.2023.124965 · ExternalCitation · doi-reference
Improved neural networks for the classification of microplastics via inferior quality raman spectra
10.1016/j.talanta.2025.127756 · ExternalCitation · doi-reference
Emerging analytical frontiers in microplastic detection: From spectroscopy to smart sensor technologies
10.1016/j.talo.2025.100514 · ExternalCitation · doi-reference
Advanced raman spectroscopy for nanoplastics analysis: Progress and perspective
10.1016/j.trac.2023.117188 · ExternalCitation · doi-reference
Automatic classification of microplastics and natural organic matter mixtures using a deep learning model
10.1016/j.watres.2023.120710 · ExternalCitation · doi-reference
Advancing microplastic analysis in the era of artificial intelligence: From current applications to the promise of generative AI
10.1016/j.ynexs.2024.100043 · ExternalCitation · doi-reference
Customizable machine-learning models for rapid microplastic identification using raman microscopy
10.1021/acs.analchem.2c02451 · ExternalCitation · doi-reference
Chemical analysis of microplastics and nanoplastics: Challenges, advanced methods, and perspectives
10.1021/acs.chemrev.1c00178 · ExternalCitation · doi-reference
Spectral classification of large-scale blended (micro) plastics using FT-IR raw spectra and image-based machine learning
10.1021/acs.est.2c08952 · ExternalCitation · doi-reference
Machine learning advancements and strategies in microplastic and nanoplastic detection
10.1021/acs.est.4c11888 · ExternalCitation · doi-reference
Fast detection and classification of microplastics by a wide-field fourier transform raman microscope
10.1021/acs.est.5c00165 · ExternalCitation · doi-reference
Quality criteria for the analysis of microplastic in biota samples: A critical review
10.1021/acs.est.8b01611 · ExternalCitation · doi-reference
Systematic review of microplastics and nanoplastics in indoor and outdoor air: Identifying a framework and data needs for quantifying human inhalation exposures
10.1038/s41370-023-00634-x · ExternalCitation · doi-reference
Random forest microplastic classification using spectral subsamples of FT-IR hyperspectral images
10.1039/d3ay00514c · ExternalCitation · doi-reference
Microplastic in situ detection based on a portable triboelectric microfluidic sensor
10.1039/d3ay01286g · ExternalCitation · doi-reference
Micro-and nanoplastics in the environment: A comprehensive review on detection techniques
10.1039/d4en00319e · ExternalCitation · doi-reference
A review of machine learning methods for imbalanced data challenges in chemistry
10.1039/d5sc00270b · ExternalCitation · doi-reference
Advancing hyperspectral imaging and machine learning tools toward clinical adoption in tissue diagnostics: A comprehensive review
10.1063/5.0240444 · ExternalCitation · doi-reference
Motivation for using data-driven algorithms in research: A review of machine learning solutions for image analysis of micrographs in neuroscience
10.1093/jnen/nlad040 · ExternalCitation · doi-reference
Efficient detection of microplastics on edge devices with tailored compiler for TinyML applications
10.1109/access.2025.3567816 · ExternalCitation · doi-reference
Current development and future challenges in microplastic detection techniques: A bibliometrics-based analysis and review
10.1177/00368504221132151 · ExternalCitation · doi-reference
Health impacts of environmental contamination of micro- and nanoplastics: A review
10.1186/s12199-020-00870-9 · ExternalCitation · doi-reference
Portable surface acoustic wave sensor systems for microplastic detection in beverages
10.1186/s40486-025-00236-2 · ExternalCitation · doi-reference
Advanced analytical techniques for microplastics in the environment: A review
10.1186/s42269-023-01148-0 · ExternalCitation · doi-reference
Impacts of micro and nanoplastics on human health
10.1186/s42269-024-01268-1 · ExternalCitation · doi-reference
Development of a machine learning-based method for the analysis of microplastics in environmental samples using μ-Raman spectroscopy
10.1186/s43591-023-00057-3 · ExternalCitation · doi-reference
A practical primer for image-based particle measurements in microplastic research
10.1186/s43591-023-00064-4 · ExternalCitation · doi-reference
Advances in machine learning for the detection and characterization of microplastics in the environment
10.3389/fenvs.2025.1573579 · ExternalCitation · doi-reference
Assessing the efficiency of microplastics extraction methods for tropical beach sediments and matrix preparation for experimental controls
10.3389/fmars.2023.1285041 · ExternalCitation · doi-reference
Mass spectrometry-based multimodal approaches for the identification and quantification analysis of microplastics in food matrix
10.3389/fnut.2023.1163823 · ExternalCitation · doi-reference
Multimodal imaging using raman spectroscopy and FTIR in a single analytical instrument with a microscope (infrared raman microscopy AIRsight, shimadzu): Opportunities and applications
10.3390/ijms25136884 · ExternalCitation · doi-reference
Determination of particle size distributions of bulk samples using micro-computed tomography and artificial intelligence
10.3390/ma16031002 · ExternalCitation · doi-reference
Explainable artificial intelligence for the rapid identification and characterization of ocean microplastics
10.3390/microplastics4030051 · ExternalCitation · doi-reference
A complete guide to extraction methods of microplastics from complex environmental matrices
10.3390/molecules28155710 · ExternalCitation · doi-reference
FTIR-based microplastic classification: A comprehensive study on normalization and ML techniques
10.3390/recycling10020046 · ExternalCitation · doi-reference
Real-time detection of microplastics using an AI camera
10.3390/s24134394 · ExternalCitation · doi-reference
Nanoplastics: From separations to analysis—challenges and limitations
10.3390/separations12070185 · ExternalCitation · doi-reference
Approaches for sampling and sample preparation for microplastic analysis in laundry effluents
10.3390/su16083401 · ExternalCitation · doi-reference
Micro- and nanoplastics in the environment: Current state of research, sources of origin, health risks, and Regulations-A comprehensive review
10.3390/toxics13070564 · ExternalCitation · doi-reference
