A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Materials, Journal Year: 2024, Volume and Issue: 17(5), P. 1088 - 1088

Published: Feb. 27, 2024

From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, novel approach systematically investigates the evolution nanocomposites, focusing on microstructural characterization, electrical properties, mechanical behaviors. By deploying advanced Boolean search strategies within Scopus database, we achieve meticulous extraction in-depth exploration thematic content, methodological advancement in field. Our uniquely identifies critical trends insights concerning microstructure, attributes, performance. The paper goes beyond traditional textual analytics evaluation, offering new interpretations data highlighting significant collaborative efforts influential studies domain. findings uncover language, shifts, global contributions, providing distinct comprehensive view dynamic research. A component is “State-of-the-Art Gaps Extracted Results Discussions” section, which delves into latest advancements This section details various types their properties introduces applications, especially films. tracing historical progress identifying emerging trends, emphasizes significance collaboration molding Moreover, “Literature Review Guided Artificial Intelligence” showcases an innovative AI-guided research, first Focusing articles 2023, selected based citation frequency, method offers perspective interplay between nanocomposites properties. It highlights composition, structure, functionality systems, integrating recent for overview current knowledge. analysis, with average score 0.638771, reflects positive trend academic discourse increasing recognition potential nanocomposites. another novelty, maps intellectual domain, emphasizing pivotal themes influence crosslinking time attributes. While acknowledging limitations, exemplifies indispensable role tools synthesizing understanding extensive body literature. work not only elucidates prevailing but also contributes insights, enhancing

Language: Английский

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Phytotoxic Effects of Polystyrene Microplastics on Growth Morphology, Photosynthesis, Gaseous Exchange and Oxidative Stress of Wheat Vary with Concentration and Shape

Toxics, Journal Year: 2025, Volume and Issue: 13(1), P. 57 - 57

Published: Jan. 15, 2025

Microplastics pose a serious ecological threat to agricultural soils, as they are very persistent in nature. can enter the soil system different ways and present shapes concentrations. However, little is known about how plants react microplastics with concentrations shapes. To this end, we conducted factorial pot experiment wheat (Triticum aestivum L.) which mixed polystyrene (PS) (bead, fiber powder) at of 0, 1, 3 5%. Although all PS significantly reduced morphological growth traits, powder shape was microplastic that plant height (by 58–60%), fresh biomass 54–55%) dry 61–62%) most, especially 3% 5% compared 0% PS. Similar negative effects were also observed for root length weight concentrations, regardless shape. A concentration-dependent reduction leaf area index (LAI) observed. Interestingly, increasing concentration tended up-regulate activity antioxidant enzymes shapes, indicating potential complexity highly time-dependent response related various reactive oxygen species (ROS). Importantly, caused significant chlorophyll pigmentation photosynthetic rate. For transpiration rate, stomatal conductance intercellular CO2 concentration, on increased increase Overall, concluded higher potentially more devastating physiological biochemical attributes wheat, evidenced by pigments gas exchange parameters We recommend further research experiments not only translocation but tissue-specific retention sizes crops fully understand their impact food safety.

Language: Английский

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Exploring the phytotoxicity mechanisms of PET nanoplastics and 6:2 FTSA in water hyacinth under individual and combined exposure scenarios

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 489, P. 137675 - 137675

Published: Feb. 19, 2025

Language: Английский

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Metallomic Classification of Pulmonary Nodules Using Blood by Deep-Learning-Boosted Synchrotron Radiation X-ray Fluorescence

Environment & Health, Journal Year: 2024, Volume and Issue: 3(1), P. 40 - 47

Published: Sept. 4, 2024

Ambient air pollution is an important contributor to increasing cases of lung cancer, which a malignant cancer with the highest mortality among all cancers. It primarily manifests in form pulmonary nodules, but not will develop into cancer. Therefore, it highly desired distinguish between benign and nodules for early prevention treatment Currently, histopathological examination gold standard classifying invasive, time-consuming, labor-intensive. This study proposes metallomics approach through synchrotron radiation X-ray fluorescence (SRXRF) simplified one-dimensional convolutional neural network (1DCNN) by using serum samples. SRXRF spectra samples were obtained preliminarily analyzed principal component analysis (PCA). Subsequently, machine learning algorithms (MLs) 1DCNN applied classification models. Both MLs based on full-channel could patients accuracy rate 96.7% was achieved when 1DCNN. In addition, found that characteristic elements from different those can serve as fingerprint metallome profile. The model resulted good performance sensitivity F1-score > 91.30%, G-mean, MCC Kappa 85.59%, = 94.34%. summary, metallomic be 1DCNN-boosted SRXRF, easy handle much less invasive compared examination.

Language: Английский

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Fate of nano/microplastics and associated toxic pollutants in paddy ecosystems: Current knowledge and future perspectives

Deleted Journal, Journal Year: 2024, Volume and Issue: unknown, P. 100013 - 100013

Published: Sept. 1, 2024

Language: Английский

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A Review of Spectroscopic Techniques used for the Quantification and Classification of Microplastics and Nanoplastics in the Environment

Spectroscopy, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Language: Английский

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