ReviewFrontiers in plant science2024
Research progress of the detection and analysis methods of heavy metals in plants.
Review in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 42 citations in OpenAlex.
- Article
- Morphological Traits, Accumulation and Compartmentalization of Phenolic Compounds and Cadmium (CDMolecules (Basel, Switzerland) · 2026Article
- Substituent-Tuned Benzoyl Thiourea Chemosensors for Selective Fluorescence Quenching of CuJournal of fluorescence · 2026Article
- Holistic concept guided quality control of traditional Chinese medicines for optimizing bioavailability.Chinese medicine · 2025Review
- Extractive Electrospray Ionization Mass Spectrometry for Rapid Analysis of Organic and Inorganic Selenium in Honey.Molecules (Basel, Switzerland) · 2025Article
- Exploring the Therapeutic Potential and Toxicological Risks of Four Ethnomedicinal Plants from Hakkâri (Southeastern Turkey): A First Comprehensive Analytical and Microstructural Evaluation.Plants (Basel, Switzerland) · 2025Article
- The Mechanisms of Lead Toxicity in Living Organisms.Journal of xenobiotics · 2025Review
- Integrated Deterministic and Probabilistic Methods Reveal Heavy Metal-Induced Health Risks in Guizhou, China.Toxics · 2025Article
- Immuno-PCR in the Analysis of Food Contaminants.International journal of molecular sciences · 2025Review
- Review
- Impact of Deactivated Mine Waste Substrates on the Growth and Cu, As and Pb Accumulation in Tubers, Roots, Stems and Leaves of ThreePlants (Basel, Switzerland) · 2025Article
- Mitigating toxic metals contamination in foods: Bridging knowledge gaps for addressing food safety.Trends in food science & technology · 2024Article
- Role of Genetically Modified Microorganisms for Effective Elimination of Heavy Metals.BioMed research international · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heavy metal (HM)-induced stress can lead to the enrichment of HMs in plants thereby threatening people's lives and health via the food chain. For this reason, there is an urgent need for some reliable and practical techniques to detect and analyze the absorption, distribution, accumulation, chemical form, and transport of HMs in plants for reducing or regulating HM content. Not only does it help to explore the mechanism of plant HM response, but it also holds significant importance for cultivating plants with low levels of HMs. Even though this field has garnered significant attention recently, only minority researchers have systematically summarized the different methods of analysis. This paper outlines the detection and analysis techniques applied in recent years for determining HM concentration in plants, such as inductively coupled plasma mass spectrometry (ICP-MS), atomic absorption spectrometry (AAS), atomic fluorescence spectrometry (AFS), X-ray absorption spectroscopy (XAS), X-ray fluorescence spectrometry (XRF), laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), non-invasive micro-test technology (NMT) and omics and molecular biology approaches. They can detect the chemical forms, spatial distribution, uptake and transport of HMs in plants. For this paper, the principles behind these techniques are clarified, their advantages and disadvantages are highlighted, their applications are explored, and guidance for selecting the appropriate methods to study HMs in plants is provided for later research. It is also expected to promote the innovation and development of HM-detection technologies and offer ideas for future research concerning HM accumulation in plants.
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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.