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Nizamani MM, Hughes AC, Zhang HL, Wang Y. Revolutionizing agriculture with nanotechnology: Innovative approaches in fungal disease management and plant health monitoring. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172473. [PMID: 38615773 DOI: 10.1016/j.scitotenv.2024.172473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/16/2024]
Abstract
Nanotechnology has emerged as a transformative force in modern agriculture, offering innovative solutions to address challenges related to fungal plant diseases and overall agricultural productivity. Specifically, the antifungal activities of metal, metal oxide, bio-nanoparticles, and polymer nanoparticles were examined, highlighting their unique mechanisms of action against fungal pathogens. Nanoparticles can be used as carriers for fungicides, offering advantages in controlled release, targeted delivery, and reduced environmental toxicity. Nano-pesticides and nano-fertilizers can enhance nutrient uptake, plant health, and disease resistance were explored. The development of nanosensors, especially those utilizing quantum dots and plasmonic nanoparticles, promises early and accurate detection of fungal pathogens, a crucial step in timely disease management. However, concerns about their potential toxic effects on non-target organisms, environmental impacts, and regulatory hurdles underscore the importance of rigorous research and impact assessments. The review concludes by emphasizing the significant prospects of nanotechnology in reshaping the future of agriculture but advocates for a balanced approach that prioritizes safety, sustainability, and environmental stewardship.
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Affiliation(s)
- Mir Muhammad Nizamani
- Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550025, China
| | - Alice C Hughes
- School of Biological Sciences, University of Hong Kong, China
| | - Hai-Li Zhang
- Sanya Nanfan Research Institute, Hainan Yazhou Bay Seed Laboratory, Sanya 572025, China
| | - Yong Wang
- Department of Plant Pathology, College of Agriculture, Guizhou University, Guiyang 550025, China.
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Gomes Souza F, Bhansali S, Pal K, da Silveira Maranhão F, Santos Oliveira M, Valladão VS, Brandão e Silva DS, Silva GB. A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence. MATERIALS (BASEL, SWITZERLAND) 2024; 17:1088. [PMID: 38473560 PMCID: PMC10934506 DOI: 10.3390/ma17051088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/18/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024]
Abstract
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, this novel approach systematically investigates the evolution of nanocomposites, focusing on microstructural characterization, electrical properties, and mechanical behaviors. By deploying advanced Boolean search strategies within the Scopus database, we achieve a meticulous extraction and in-depth exploration of thematic content, a methodological advancement in the field. Our analysis uniquely identifies critical trends and insights concerning nanocomposite microstructure, electrical attributes, and mechanical performance. The paper goes beyond traditional textual analytics and bibliometric evaluation, offering new interpretations of data and highlighting significant collaborative efforts and influential studies within the nanocomposite domain. Our findings uncover the evolution of research language, thematic shifts, and global contributions, providing a distinct and comprehensive view of the dynamic evolution of nanocomposite research. A critical component of this study is the "State-of-the-Art and Gaps Extracted from Results and Discussions" section, which delves into the latest advancements in nanocomposite research. This section details various nanocomposite types and their properties and introduces novel interpretations of their applications, especially in nanocomposite films. By tracing historical progress and identifying emerging trends, this analysis emphasizes the significance of collaboration and influential studies in molding the field. Moreover, the "Literature Review Guided by Artificial Intelligence" section showcases an innovative AI-guided approach to nanocomposite research, a first in this domain. Focusing on articles from 2023, selected based on citation frequency, this method offers a new perspective on the interplay between nanocomposites and their electrical properties. It highlights the composition, structure, and functionality of various systems, integrating recent findings for a comprehensive overview of current knowledge. The sentiment analysis, with an average score of 0.638771, reflects a positive trend in academic discourse and an increasing recognition of the potential of nanocomposites. Our bibliometric analysis, another methodological novelty, maps the intellectual domain, emphasizing pivotal research themes and the influence of crosslinking time on nanocomposite attributes. While acknowledging its limitations, this study exemplifies the indispensable role of our innovative computational tools in synthesizing and understanding the extensive body of nanocomposite literature. This work not only elucidates prevailing trends but also contributes a unique perspective and novel insights, enhancing our understanding of the nanocomposite research field.
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Affiliation(s)
- Fernando Gomes Souza
- Biopolymers & Sensors Lab., Instituto de Macromoléculas Professora Eloisa Mano, Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-853, Brazil; (F.d.S.M.); (M.S.O.); (V.S.V.); (G.B.S.)
- Programa de Engenharia da Nanotecnologia, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (COPPE), Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-914, Brazil;
| | - Shekhar Bhansali
- Biomolecular Sciences Institute, College of Engineering & Computing, Center for Aquatic Chemistry and Environment, Florida International University, 10555 West Flagler St EC3900, Miami, FL 33174, USA
| | - Kaushik Pal
- Department of Physics, University Center for Research and Development (UCRD), Chandigarh University, Mohali 140413, Punjab, India;
| | - Fabíola da Silveira Maranhão
- Biopolymers & Sensors Lab., Instituto de Macromoléculas Professora Eloisa Mano, Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-853, Brazil; (F.d.S.M.); (M.S.O.); (V.S.V.); (G.B.S.)
| | - Marcella Santos Oliveira
- Biopolymers & Sensors Lab., Instituto de Macromoléculas Professora Eloisa Mano, Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-853, Brazil; (F.d.S.M.); (M.S.O.); (V.S.V.); (G.B.S.)
| | - Viviane Silva Valladão
- Biopolymers & Sensors Lab., Instituto de Macromoléculas Professora Eloisa Mano, Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-853, Brazil; (F.d.S.M.); (M.S.O.); (V.S.V.); (G.B.S.)
| | - Daniele Silvéria Brandão e Silva
- Programa de Engenharia da Nanotecnologia, Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia (COPPE), Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-914, Brazil;
| | - Gabriel Bezerra Silva
- Biopolymers & Sensors Lab., Instituto de Macromoléculas Professora Eloisa Mano, Universidade Federal do Rio de Janeiro, Centro de Tecnologia-Cidade Universitária, Rio de Janeiro 21941-853, Brazil; (F.d.S.M.); (M.S.O.); (V.S.V.); (G.B.S.)
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Balram D, Lian KY, Sebastian N, Alharthi SS, Al-Saidi HM, Yadav VK, Kumar D, Kumar V. A novel ternary nanocomposite based electrochemical sensor coupled with regularized neural network for nanomolar detection of sunset yellow FCF. JOURNAL OF ALLOYS AND COMPOUNDS 2023; 968:171934. [DOI: 10.1016/j.jallcom.2023.171934] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2025]
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