Biomarkers in environmental and human health biomonitoring : an integrated perspective /

This book provides an integrated perspective on the use of biomarkers for environmental and human health biomonitoring. Edited by Ritu Mishra, Sughosh Madhav, Rahul Kumar Dhaka, and Parveen Garg, it covers various aspects of biomarkers in detecting and assessing pollution in aquatic and terrestrial...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Mishra, Ritu
Format: eBook
Language:English
Published: [S.l.] : Academic Press, 2024.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Biomarkers in Environmental and Human Health Biomonitoring
  • Copyright Page
  • Contents
  • List of contributors
  • Preface
  • 1 Biomarkers for the detection of water pollution in rivers
  • 1.1 Introduction
  • 1.1.1 Potential uses and limitations of biomarkers
  • 1.1.2 Assessment of river water pollution by biomarkers
  • 1.2 Biomarkers for monitoring pollution in riverine ecosystem
  • 1.2.1 Fish
  • 1.2.2 Macroinvertebrates
  • 1.2.3 Crustaceans and shrimps
  • 1.2.4 Bacteria and algae
  • 1.2.5 Mollusks and bivalves
  • 1.2.6 Macrophytes
  • 1.2.7 Zooplankton
  • 1.2.8 Protozoa
  • 1.2.9 Plant indicators
  • 1.2.10 Artemia
  • 1.2.11 Grass shrimp
  • 1.2.12 Insect
  • 1.2.13 Gastropod
  • 1.2.14 Amphibian
  • 1.3 Conclusions
  • 1.4 Further prospects
  • Acknowledgments
  • References
  • 2 Biomarkers to assess the water pollution in lakes and rivers
  • 2.1 Introduction
  • 2.2 Impacts of water pollutants on aquatic ecosystems
  • 2.3 Conventional methods of ecotoxicity assessments
  • 2.3.1 Biomonitoring of chemical exposure
  • 2.3.2 Limitations
  • 2.4 Biomarkers as bioindicators for water contaminant analysis
  • 2.4.1 Classification of biomarkers
  • 2.4.2 Recent examples of biomarkers determining the extent of spatial and temporal contamination
  • 2.4.3 Recent examples of biomarkers predicting organisms' health
  • 2.4.4 Behavioral biomarkers
  • 2.4.4.1 Stressors identification within complex states
  • 2.4.5 Multiple biomarkers
  • 2.4.6 Role of biomarkers in assessing
  • 2.5 Future direction
  • 2.6 Conclusion
  • References
  • 3 Native crustaceans-a biomonitoring tool for ecological risk assessment
  • 3.1 Introduction
  • 3.2 Crustaceans as bioindicators in freshwater
  • 3.2.1 Tricladida
  • 3.2.2 Mytilus edulis
  • 3.2.3 Crayfish
  • 3.3 Crustaceans as bioindicators in marine water
  • 3.4 Methods for establishing crustaceans as bioindicators.
  • 3.4.1 Valvometry
  • 3.4.2 Photoplethysmography
  • 3.4.3 Population structure
  • 3.4.4 Physiology and behavioral changes
  • 3.4.5 Indicator value method
  • 3.5 Significance of bioindicators
  • 3.5.1 Ecological significance
  • 3.5.2 Assessment of human and ecological health
  • 3.5.3 Monitoring water quality
  • 3.5.4 Monitoring air quality
  • 3.6 Concluding remarks
  • References
  • 4 Fish biomarkers in environmental biomonitoring: an insight into water pollution
  • 4.1 Introduction
  • 4.2 Biomonitoring
  • 4.3 Biomarkers
  • 4.3.1 Biomarkers in fish
  • 4.3.1.1 Morphological parameters
  • 4.3.1.2 Organosomatic indices
  • 4.3.1.3 Hematological and biochemical studies
  • 4.3.1.4 Oxidative stress parameters
  • 4.3.1.5 Genotoxicity parameters
  • 4.3.1.6 The weaknesses of fish biomarkers
  • 4.4 Conclusion
  • References
  • 5 Fish blood serum as a biomarker of water pollution
  • 5.1 Introduction
  • 5.2 Biomarkers
  • 5.3 Development of biomarker
  • 5.4 Types of serum biomarkers
  • 5.5 Enzymatic biomarkers
  • 5.6 Hematology and immunology biomarkers
  • 5.7 Biomarkers of hormones
  • 5.8 Biomarkers of endocrine disruption
  • 5.9 Histopathology biomarkers
  • 5.10 Fish biomarkers and environmental danger valuation
  • 5.11 Biotransformation enzymes
  • 5.12 Parameters of oxidative stress
  • 5.13 Superoxide dismutase superoxide dismutase
  • 5.14 Catalase
  • 5.15 Glutathione reductase
  • 5.16 Biotransformation products
  • 5.17 Bile's polycyclic aromatic hydrocarbon metabolites
  • 5.18 Multixenobiotic resistance, stress proteins, and metallothioneins
  • 5.19 (Heat-shock proteins) Stress proteins
  • 5.20 Metallothioneins
  • 5.21 Multixenobiotic resistance
  • 5.22 Other hematological variables
  • 5.23 Immunological characteristics
  • 5.24 Conclusion
  • References
  • 6 Microplastics-a major threat to marine environment and applicability of biomarkers
  • 6.1 Introduction.
  • 6.2 Microplastic and cocontaminants
  • 6.3 Microplastic exposure pathways
  • 6.4 Microplastics impact on marine organisms
  • 6.5 Physical impacts
  • 6.6 Chemical impacts
  • 6.7 Biological impacts
  • 6.8 Biomarkers of plastic pollution in marine habitats
  • 6.9 Oxidative stress
  • 6.10 Geno and neurotoxicity
  • 6.11 Metabolic disturbance
  • 6.12 Conclusion
  • References
  • 7 Microbial biomarkers for detection of environmental pollution
  • 7.1 Introduction
  • 7.2 Microbial biomarkers for pollution detection
  • 7.2.1 Microbial biomarkers for water pollution detection
  • 7.2.2 Microbial biomarkers for soil pollution detection
  • 7.3 Effect of pollutants on the microbial community
  • 7.3.1 Air pollution
  • 7.3.1.1 Effects of air pollution on microbial community
  • 7.3.2 Particulate matter
  • 7.3.3 Effect of water pollution on microbes
  • 7.3.4 Effect of soil pollution on microbes
  • 7.3.5 Impact of heavy metals on microbes
  • 7.3.6 Impact of pesticides on soil microflora
  • 7.4 Indicator species for pollution detection and application of biomarkers
  • 7.5 Conclusion
  • References
  • 8 Microbial biomarkers-based sensors for detection of environmental pollution
  • 8.1 Introduction
  • 8.2 Environmental pollution and its associated biomarkers
  • 8.3 Biomarkers
  • 8.4 Contaminated water biomarkers
  • 8.5 Contaminated soil biomarkers
  • 8.6 Contaminated air biomarkers
  • 8.7 Biosensors
  • 8.8 Microbial biosensors
  • 8.9 Electrochemical biosensors
  • 8.10 Optical biosensors
  • 8.11 The market value of biosensors
  • 8.12 Advantages and disadvantages of microbial biosensors
  • 8.13 Conclusion and future perspectives
  • References
  • 9 Plants as biomarkers for monitoring environmental pollution
  • 9.1 Introduction
  • 9.2 Plants as biomarkers for monitoring heavy-metal contamination
  • 9.3 Plant indicators of environmental pollution and environmental monitoring.
  • 9.4 Biomarkers of plants with different types of ecological strategies
  • 9.4.1 Classification of ecological strategy
  • 9.4.2 Specific biochemical biomarkers for sensitive plants
  • 9.4.3 Biochemical biomarkers for a group of elements or environmental stresses
  • 9.5 Stress biomarkers for different types of abiotic stress strategies
  • 9.6 Conclusion and future prospects
  • References
  • 10 Plant biomarkers for environmental monitoring
  • 10.1 Introduction
  • 10.2 Types of biomarkers for environmental monitoring
  • 10.2.1 Genetic biomarkers
  • 10.2.2 Protein biomarkers
  • 10.2.3 Metabolite biomarkers
  • 10.2.4 Physiological biomarkers
  • 10.2.5 Histological biomarkers
  • 10.3 Plants as biomarkers for environmental pollution monitoring
  • 10.3.1 Plant biomarkers for the detection of heavy metals
  • 10.3.2 Plant biomarkers for the detection of ozone
  • 10.3.3 Plant biomarkers for the detection of pesticides and herbicides
  • 10.4 Conclusion
  • References
  • Further reading
  • 11 Omics tools in understanding environment-induced stresses in plants
  • 11.1 Introduction
  • 11.2 Omics tools for stress identification in plants
  • 11.3 Biomarker-based tools to assess abiotic stress in plants
  • 11.4 Molecular markers for the disease identification in plants
  • 11.5 Recommendations and future research pathways
  • 11.6 Conclusion
  • Acknowledgments
  • References
  • 12 The impact of climate change on polar ichthyofauna biodiversity
  • 12.1 Introduction
  • 12.2 Environmental condition in the Arctic and Antarctic Ocean
  • 12.3 Antifreeze glycoproteins
  • 12.4 The origin and convergence of antifreeze glycoproteins in Arctic cod and Antarctic notothenioid
  • 12.5 Adaptation in the expression of hemoglobin and myoglobin genes in Arctic and Antarctic ichthyofauna
  • 12.6 Impact of temperature on the Arctic and Antarctic ichthyofaunas.
  • 12.7 Thermal restrictions and adaptations of Arctic cod and Antarctic notothenioid
  • 12.7.1 Arctic cod
  • 12.7.2 Antarctic notothenioid
  • 12.8 Conclusion
  • Conflict of interest
  • References
  • 13 Biomarkers for the biodiversity loss and restoration of degraded ecosystems
  • 13.1 Introduction
  • 13.2 Environmental biomonitoring
  • 13.3 Types of biomarkers
  • 13.3.1 Biomarkers of susceptibility
  • 13.3.2 Biomarkers of exposure
  • 13.3.2.1 Internal dose markers
  • 13.3.2.2 Effective dose markers
  • 13.3.3 Biomarkers of DNA damage
  • 13.4 Biomarkers in the field of aquatic and terrestrial ecosystems
  • 13.4.1 Biomarkers used in aquatic ecosystems
  • 13.4.2 Biomarkers used in terrestrial ecosystem
  • 13.5 Application of biomarkers in conservation and the restoration of degraded ecosystems
  • 13.6 Recent trends of utilizing biomarkers in the assessment of degraded ecosystems
  • 13.7 Challenges
  • 13.8 Conclusion
  • 13.9 Future prospects
  • References
  • 14 Nanoparticle induced plant stress: unraveling biomarkers for enhanced detection and mitigation
  • 14.1 Introduction
  • 14.2 Plant stress and its significance
  • 14.3 Nanoparticles in plant stress
  • 14.3.1 Silver nanoparticles
  • 14.3.2 Gold nanoparticles
  • 14.3.3 Zinc oxide nanoparticles
  • 14.3.4 Copper oxide nanoparticles
  • 14.3.5 Cerium oxide nanoparticles
  • 14.3.6 Titanium dioxide nanoparticles
  • 14.4 Uptake and translocation of nanoparticles in plants
  • 14.4.1 Root uptake and transport pathway of nanoparticles from the root
  • 14.4.2 Foliar uptake and transport pathway of nanoparticles from the leaves
  • 14.5 Biomarkers for assessing plant stress
  • 14.5.1 Biomarkers related to plant stress caused by nanoparticle applications
  • 14.5.2 Categories of biomarkers in plant stress
  • 14.5.2.1 Physiological biomarkers
  • 14.5.2.2 Biochemical biomarkers
  • 14.5.2.3 Molecular biomarkers.