Phytoremediation at Molecular Level

Mansoor, Sheikh; Khan, Nafeesa Farooq; Farooq, Iqra; Kaur, Navneet; Manhas, Sweeta; Raina, Shilpa; Khan, Iqra F.

doi:10.1016/b978-0-323-89874-4.00011-x

Cited by 6 publications

(2 citation statements)

References 129 publications

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“…Immobilization aims to reduce heavy metal mobility by altering their chemical form, while soil washing involves removing contaminants through the use of chemical or physical agents ( Figure 3 ). Phytoremediation exploits the ability of certain plants to absorb and accumulate heavy metals, effectively mitigating contamination in the soil [ 111 , 112 , 113 ]. Biochar is a carbon-rich material produced from biomass through a process called pyrolysis.…”

Section: Heavy Metal Remediation For Plant Growth Improvementmentioning

confidence: 99%

Heavy Metal Induced Oxidative Stress Mitigation and ROS Scavenging in Plants

Mansoor,

Ali,

Kour

et al. 2023

Plants

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Although trace elements are essential for life, environmental contamination due to metal accumulation and overuse in various sectors, such as healthcare, agriculture, industry, and cosmetics, poses significant health concerns. Exposure of plants to heavy metals leads to the overproduction of reactive oxygen species (ROS) due to their ability to change mitochondrial membrane permeability and restrict the action of ROS clearance enzymes in the cellular antioxidant system. The interaction of ROS with cellular membranes, heavy-metal-induced interactions directly or indirectly with different macromolecules, and signaling pathways leads to the accumulation of environmental pollutants and oxidative stress in exposed organisms. The heavy metal–ROS–cell signaling axis affects various pathological processes such as ATP depletion, excess ROS production, mitochondrial respiratory chain damage, decoupling of oxidative phosphorylation, and mitochondrial death. This review focuses on discussing the toxic effects of different heavy metals on plants, with particular emphasis on oxidative stress, its consequences, and mitigation strategies.

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Section: Heavy Metal Remediation For Plant Growth Improvementmentioning

confidence: 99%

Heavy Metal Induced Oxidative Stress Mitigation and ROS Scavenging in Plants

Mansoor,

Ali,

Kour

et al. 2023

Plants

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“…Prevention strategies include reducing the use of hazardous materials (i.e., source control) and implementing best practices for waste disposal and land use. Effective management is essential for ensuring the long-term health and sustainability of soil and its ecosystems (Mansoor et al, 2022;Sharma et al, 2022;Sonne et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

Popescu,

Mansoor,

Wani

et al. 2024

Front. Environ. Sci.

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Detecting hazardous substances in the environment is crucial for protecting human wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) has emerged as a promising tool for creating sensors that can effectively detect and analyze these hazardous substances. The increasing advancements in information technology have led to a growing interest in utilizing this technology for environmental pollution detection. AI-driven sensor systems, AI and Internet of Things (IoT) can be efficiently used for environmental monitoring, such as those for detecting air pollutants, water contaminants, and soil toxins. With the increasing concerns about the detrimental impact of legacy and emerging hazardous substances on ecosystems and human health, it is necessary to develop advanced monitoring systems that can efficiently detect, analyze, and respond to potential risks. Therefore, this review aims to explore recent advancements in using AI, sensors and IOTs for environmental pollution monitoring, taking into account the complexities of predicting and tracking pollution changes due to the dynamic nature of the environment. Integrating machine learning (ML) methods has the potential to revolutionize environmental science, but it also poses challenges. Important considerations include balancing model performance and interpretability, understanding ML model requirements, selecting appropriate models, and addressing concerns related to data sharing. Through examining these issues, this study seeks to highlight the latest trends in leveraging AI and IOT for environmental pollution monitoring.

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Phytoremediation of Lead Present in Environment: A Review

Rolón-Cárdenas,

Hernández-Morales

2024

Environmental Contamination Remediation and Management

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Phytoremediation at Molecular Level

Cited by 6 publications

References 129 publications

Heavy Metal Induced Oxidative Stress Mitigation and ROS Scavenging in Plants

Heavy Metal Induced Oxidative Stress Mitigation and ROS Scavenging in Plants

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

Phytoremediation of Lead Present in Environment: A Review

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