Contributors |
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xxv | |
About the editors |
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xxxii | |
Acknowledgments |
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xxxvii | |
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SECTION 1 Introduction to bioremediation and metagenomics |
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Chapter 1 Bioremediation: A green technology for environmental cleanup |
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3 | (20) |
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3 | (1) |
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2 Agents of bioremediation |
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4 | (1) |
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2.1 Bioremediation by bacteria |
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4 | (1) |
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2.2 Bioremediation by fungus |
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4 | (1) |
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2.3 Bioremediation by algae |
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4 | (1) |
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3 Role of biotechnology in bioremediation |
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5 | (1) |
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4 Microorganisms to clean up contaminated environments |
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6 | (3) |
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4.1 The role of microbes in bioremediation |
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6 | (1) |
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4.2 How microbes destroy contaminants |
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7 | (1) |
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4.3 Pollutants that are biodegradable |
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7 | (2) |
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9 | (2) |
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5.1 PGPR and PGPB degradation |
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9 | (1) |
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5.2 Microfungi and mycorrhiza degradation |
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10 | (1) |
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10 | (1) |
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6 Degradative capacities of algae and protozoa |
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11 | (1) |
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7 Plant-assisted bioremediation |
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12 | (4) |
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7.1 Mechanism of phytoremediation of contaminated soils |
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12 | (4) |
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8 Mycorrhiza assisted phytoremediation |
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16 | (1) |
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9 Limitations of bioremediation |
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16 | (1) |
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16 | (2) |
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18 | (3) |
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21 | (2) |
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Chapter 2 Recent trends in bioremediation of heavy metals |
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23 | (32) |
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23 | (1) |
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2 Heavy metals: Sources and environmental effects |
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24 | (3) |
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3 Effect of heavy metal toxicity on soil, microorganisms, and plants |
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27 | (1) |
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4 Heavy metals toxicity in human beings |
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28 | (3) |
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5 Bioremediation and its significance |
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31 | (13) |
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5.1 The need for bioremediation: Demerits of conventional remediation methods |
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31 | (1) |
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5.2 What is bioremediation? |
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32 | (1) |
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33 | (5) |
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5.4 Bioremediation with algae |
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38 | (1) |
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5.5 Microbial bioremediation |
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39 | (5) |
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6 Metagenomics and its application in bioremediation |
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44 | (4) |
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6.1 Metagenomics methodology |
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45 | (1) |
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6.2 Application of metagenomics for the remediation of different contaminated mediums |
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46 | (2) |
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48 | (1) |
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49 | (6) |
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Chapter 3 Recent advances in bioremediation by metagenomics-based approach for pharmaceutical derived pollutants |
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55 | (26) |
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55 | (1) |
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56 | (1) |
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2.1 Bioremediation methods involved in purifying air pollutants |
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56 | (1) |
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2.2 Bioremediation in the removal of water pollutants |
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57 | (1) |
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3 Bioremediation techniques |
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57 | (6) |
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3.1 Ex situ bioremediation technologies |
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57 | (4) |
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3.2 In situ bioremediation techniques |
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61 | (2) |
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63 | (2) |
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4.1 Different types of pharmaceutical wastes |
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64 | (1) |
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65 | (2) |
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5.1 Pharmaceuticals for veterinary use |
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65 | (1) |
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5.2 Agricultural use of pharmaceutical |
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65 | (1) |
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5.3 Sources of pharmaceutical waste products |
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65 | (2) |
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67 | (1) |
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6 Regulation of the disposal of pharmaceutical wastes |
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67 | (1) |
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7 Characteristic hazardous wastes |
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67 | (1) |
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8 Remediation methods for pharmaceutical waste |
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68 | (8) |
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8.1 How bioremediation process helps in remediating pharmaceutical wastes? |
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68 | (2) |
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8.2 Bioremediation of pharmaceutical wastes using cow dung/gomeya |
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70 | (2) |
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8.3 Bioremediation of pharmaceuticals and pesticides |
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72 | (1) |
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8.4 Mycoremediation: A process to remediate pharmaceutical wastes |
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73 | (2) |
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75 | (1) |
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76 | (1) |
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76 | (2) |
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78 | (3) |
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Chapter 4 Metagenomics in bioremediation: Recent advances, challenges, and perspectives |
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81 | (22) |
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81 | (1) |
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2 Microorganisms that are important in biosorption |
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82 | (1) |
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3 Omics approach in bioremediation/biosorption |
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83 | (1) |
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4 Application of metagenomics in bioremediation |
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84 | (1) |
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5 Exploring microbial communities using next-generation sequencing |
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85 | (2) |
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85 | (1) |
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85 | (2) |
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6 Molecular biology approach in bioremediation |
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87 | (7) |
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6.1 16S rRNA and other specific gene approaches |
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88 | (1) |
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6.2 PCR, RT-PCR, and qPCR technologies |
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88 | (1) |
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6.3 Temperature or denaturing gradient gel electrophoresis |
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89 | (1) |
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6.4 Amplified ribosomal DNA restriction analysis and ribosomal intergenic spacer analysis |
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90 | (1) |
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6.5 Terminal-restriction fragment length polymorphism (T-RFLP) |
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91 | (1) |
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6.6 Fluorescent in situ hybridization (FISH) |
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91 | (1) |
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6.7 Applications of DNA microarray technologies |
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92 | (1) |
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6.8 Nucleic acids based stable isotope probing (SIP) |
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93 | (1) |
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6.9 Compound-specific isotope analysis (CSIA) |
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94 | (1) |
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7 Role of transcriptomics and metatranscriptomics in bioremediation |
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94 | (1) |
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8 Conclusion and future direction |
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95 | (1) |
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95 | (6) |
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101 | (2) |
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Chapter 5 Metagenomic approaches for understanding microbial communities in contaminated environments: Bioinformatic tools, case studies and future outlook |
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103 | (54) |
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103 | (1) |
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2 Sequencing-based study of environmental microbiomes |
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104 | (6) |
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2.1 Metataxonomics or amplicon sequence-based microbiome surveys |
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105 | (3) |
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108 | (1) |
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109 | (1) |
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3 Bioinformatic analysis of high-throughput sequencing data |
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110 | (20) |
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111 | (3) |
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3.2 16S rRNA data analysis |
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114 | (1) |
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3.3 Metagenomic classification |
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115 | (4) |
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119 | (2) |
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121 | (2) |
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3.6 Strain level metagenomic analysis |
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123 | (1) |
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124 | (1) |
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3.8 Metatranscriptomic analysis |
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124 | (4) |
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3.9 Integrated metatranscriptomic workflows |
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128 | (2) |
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4 Microbial community structure and processes in contaminated environments |
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130 | (12) |
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4.1 Petroleum hydrocarbons |
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131 | (2) |
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133 | (3) |
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136 | (2) |
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4.4 Pesticides and herbicides |
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138 | (2) |
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140 | (1) |
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4.6 Industrial wastewaters |
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141 | (1) |
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5 Challenges and future outlook |
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142 | (1) |
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143 | (1) |
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144 | (13) |
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Chapter 6 Microbial enzymes and their budding roles in bioremediation: Foreseen tool for combating environmental pollution |
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157 | (26) |
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157 | (1) |
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2 Pollutants: The stubborn enemy |
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158 | (2) |
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158 | (1) |
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2.2 Persistent organic pollutants (POPs) |
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159 | (1) |
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160 | (1) |
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160 | (1) |
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160 | (4) |
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3.1 Classification of bioremediation |
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161 | (1) |
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3.2 Types of bioremediation |
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161 | (3) |
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4 Microbial enzymes in bioremediation |
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164 | (10) |
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165 | (5) |
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170 | (4) |
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5 Molecular advancements in bioremediation |
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174 | (4) |
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175 | (1) |
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176 | (1) |
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5.3 Enzyme immobilization |
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177 | (1) |
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178 | (1) |
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6 Conclusion and future prospects |
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178 | (1) |
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179 | (1) |
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179 | (4) |
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Chapter 7 Interface of `meta-omics' in gut biome remediation to unravel the complications of environmental pollutants |
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183 | (26) |
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183 | (1) |
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2 Environmental pollution---A rising social menace |
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183 | (2) |
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3 Crucial transformations of pollutants as toxicants |
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185 | (1) |
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4 Intrusions into the human system as various ailments |
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186 | (1) |
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5 Beneficial microbial ecosystems---Overview |
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187 | (1) |
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6 Gut biome as potential bio remediators to transformer toxicants |
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188 | (1) |
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7 Biosorption of toxicants in the human body---The interplay of gastrointestinal (GI) microbiotas |
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188 | (1) |
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8 Vital microbial metabolites and their mechanism in bioremediation targeting various environmental pollutants |
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189 | (1) |
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9 The metabolization of gut microbiota on various environmental chemicals |
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190 | (3) |
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191 | (1) |
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192 | (1) |
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192 | (1) |
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10 Meta-omics, the tool to bridge host-microbe interactions |
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193 | (4) |
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193 | (2) |
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195 | (1) |
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196 | (1) |
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196 | (1) |
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197 | (1) |
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12 Computational approaches to investigate the microbiome |
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197 | (3) |
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13 Applications of GEM in gut bioremediation |
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200 | (1) |
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201 | (1) |
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201 | (8) |
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SECTION 2 Bioremediation and metagenomics in environmental remediation |
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Chapter 8 Bioremediation: A favorable perspective to eliminate heavy metals from polluted soil |
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209 | (22) |
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1 Heavy metal pollution and bioremediation |
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209 | (2) |
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2 Types of bioremediation |
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211 | (1) |
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3 Importance and applications of bioremediation |
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212 | (1) |
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4 Heavy metals in soil pollution |
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213 | (1) |
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5 Bioremediation of heavy metals |
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214 | (11) |
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5.1 Bacterial bioremediation of cadmium (Cd) |
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214 | (1) |
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5.2 Fungal bioremediation of cadmium |
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215 | (1) |
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5.3 Phytoremediation of cadmium |
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216 | (1) |
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5.4 Bacterial bioremediation of mercury (Hg) |
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217 | (1) |
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5.5 Fungal bioremediation of mercury |
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218 | (1) |
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5.6 Phytoremediation of mercury |
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218 | (2) |
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5.7 Bacterial bioremediation of lead (Pb) |
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220 | (1) |
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5.8 Fungal bioremediation of lead |
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220 | (1) |
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5.9 Phytoremediation of lead |
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220 | (1) |
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221 | (2) |
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5.11 Bioremediation of arsenic (As) |
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223 | (2) |
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225 | (1) |
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226 | (5) |
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Chapter 9 Metagenomics in bioremediation of metals for environmental cleanup |
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231 | (30) |
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231 | (1) |
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2 Metals and metal toxicity |
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232 | (1) |
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233 | (2) |
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3.1 Sources of metal pollution |
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233 | (1) |
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3.2 Challenges of environmental cleanup of metal pollution |
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234 | (1) |
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4 Bioremediation of metals |
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235 | (5) |
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4.1 Microbial adaptations exploited in metal bioremediation |
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236 | (2) |
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4.2 Methods for bioremediation of metals |
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238 | (2) |
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5 Metagenomics for microbiome analysis |
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240 | (6) |
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5.1 Metagenomes of a healthy environment |
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241 | (1) |
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5.2 Metagenome of metal pollution |
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242 | (2) |
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5.3 Implications of the metagenome in bioremediation of metal |
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244 | (2) |
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6 Environmental sampling for metagenome analysis |
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246 | (2) |
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7 Sequencing technologies for metagenome analysis |
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248 | (8) |
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7.1 Second-generation sequencing |
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248 | (1) |
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7.2 Third-generation sequencing |
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249 | (1) |
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7.3 Targeted gene sequencing |
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250 | (1) |
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7.4 Shot gun metagenomics |
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251 | (4) |
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7.5 Technologies for functional and pathway analysis |
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255 | (1) |
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256 | (5) |
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Chapter 10 Microbial community and their role in bioremediation of polluted e-waste sites |
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261 | (24) |
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261 | (2) |
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2 E-waste the current scenario |
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263 | (2) |
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3 Microbes thriving in E-waste contaminated site |
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265 | (4) |
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3.1 Culture independent study |
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265 | (3) |
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3.2 Culture dependent study |
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268 | (1) |
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4 Bioremediation of E-waste |
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269 | (6) |
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269 | (3) |
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272 | (1) |
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4.3 Bioreduction of metals |
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273 | (1) |
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274 | (1) |
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4.5 Bioremediation of organic pollutants of E-waste |
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274 | (1) |
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5 Challenges and future opportunities |
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275 | (1) |
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276 | (1) |
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276 | (9) |
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Chapter 11 Metagenomic analysis of wastewater for water quality assessment |
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285 | (26) |
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285 | (1) |
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2 Natural microbiome of water |
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286 | (1) |
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3 Metagenomic analysis of wastewater |
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286 | (3) |
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3.1 The metagenome analysis of residential wastewater for bioremediation |
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287 | (1) |
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3.2 Metagenome analysis of agricultural wastewater for bioremediation |
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287 | (1) |
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3.3 Metagenome analysis of industrial wastewater for bioremediation |
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288 | (1) |
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3.4 Metagenome analysis of hospital effluent for bioremediation |
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289 | (1) |
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4 Impact of wastewater treatment on microbial composition |
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289 | (1) |
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5 Molecular techniques for analysis of microbial communities in wastewater |
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290 | (5) |
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5.1 Fingerprint techniques for metagenomic analysis of wastewater |
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291 | (2) |
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5.2 Hybridizing techniques for microbial detection |
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293 | (2) |
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6 Metagenomic approaches for wastewater analysis and bioremediation of wastewater |
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295 | (8) |
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6.1 Wastewater sampling for metagenome analysis |
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295 | (1) |
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6.2 Tools for metagenomic analysis of wastewater and bioremediation of wastewater |
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296 | (7) |
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7 Antibiotic resistance genes in wastewater |
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303 | (2) |
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8 Metagenomic analysis to assess metabolic pathways in bioremediation |
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305 | (1) |
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9 Limitations of metagenomics in wastewater treatments |
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305 | (1) |
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306 | (5) |
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Chapter 12 The proteome mapping---Metabolic modeling, and functional elucidation of the microbiome in the remediation of dyes and treating industrial effluents |
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311 | (18) |
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311 | (1) |
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2 Elucidation of the microbiome in situ |
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312 | (3) |
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2.1 Metaproteomics---The near future |
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312 | (1) |
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2.2 Proteogenomics---The difference and significance |
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313 | (2) |
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3 Computational efficacy in metaproteomic studies |
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315 | (5) |
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4 Metabolic engineering and microbial ecology |
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320 | (1) |
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5 Present and future of microbiome research |
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320 | (5) |
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5.1 Wastewater treatment and activated sludge |
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321 | (1) |
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5.2 Acid mine drainage (AMD) |
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322 | (1) |
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323 | (1) |
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5.4 Environmental stress response |
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323 | (1) |
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5.5 Bioremediation of environmental xenobiotics and industrial effluents |
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324 | (1) |
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6 Challenges of metaproteomics and future prospects |
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325 | (1) |
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325 | (4) |
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Chapter 13 Wastewater treatment processes and microbial community |
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329 | (28) |
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329 | (2) |
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329 | (1) |
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330 | (1) |
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1.3 Harmful effects of wastewater |
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330 | (1) |
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2 Wastewater treatment processes |
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331 | (22) |
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2.1 Physical wastewater treatment |
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331 | (6) |
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2.2 Chemical wastewater treatment |
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337 | (5) |
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342 | (6) |
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2.4 Non-conventional microbial wastewater treatment |
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348 | (5) |
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353 | (1) |
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353 | (4) |
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Chapter 14 Water quality and wastewater treatment for human health and environmental safety |
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357 | (22) |
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357 | (1) |
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357 | (1) |
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358 | (1) |
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4 Agricultural wastewater |
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358 | (1) |
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5 Environmental and health impact of wastewater discharge into water resources |
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358 | (1) |
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6 Parameters to assess water quality |
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359 | (3) |
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360 | (1) |
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361 | (1) |
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6.3 Microbiological parameters |
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361 | (1) |
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7 Wastewater treatment techniques |
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362 | (4) |
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363 | (1) |
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364 | (1) |
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365 | (1) |
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8 Different processes in wastewater treatment |
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366 | (2) |
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8.1 Physical processes in wastewater treatment |
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366 | (1) |
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8.2 Chemical processes in wastewater treatment |
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366 | (1) |
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8.3 Biological processes in wastewater treatment |
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367 | (1) |
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8.4 Physicochemical treatment of wastewater |
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367 | (1) |
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9 New trends in wastewater treatment |
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368 | (4) |
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9.1 Nanotechnology in wastewater treatment |
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368 | (1) |
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9.2 Advances in biofilm technology |
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369 | (1) |
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9.3 Aerobic granulation technology |
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370 | (1) |
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9.4 Microbial fuel cell technology |
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371 | (1) |
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10 New trends in wastewater treatment |
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372 | (3) |
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10.1 Satellite system for wastewater treatment |
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373 | (1) |
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10.2 Use of computational fluid dynamics in wastewater treatment |
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374 | (1) |
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10.3 Computational artificial intelligence in wastewater treatment |
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374 | (1) |
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10.4 Geographical information system and satellite technology for wastewater treatment |
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375 | (1) |
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375 | (4) |
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Chapter 15 Bioremediation of petrochemical sludge from soils |
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379 | (24) |
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379 | (1) |
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2 Characteristic properties of petroleum pollutants & toxicity of oil-polluted soil |
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380 | (3) |
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3 Remediation processes of petroleum-polluted soil |
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383 | (3) |
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4 Bioremediation technologies |
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386 | (11) |
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386 | (5) |
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391 | (3) |
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394 | (3) |
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5 Conclusions and perspectives |
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397 | (3) |
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400 | (3) |
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Chapter 16 Bioremediation of nuclear waste effluent using different communities of microbes |
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403 | (42) |
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403 | (2) |
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405 | (2) |
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3 Metagenomics in bioremediation |
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407 | (1) |
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4 Overview of radionucleotides |
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408 | (2) |
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4.1 Importance of radionuclides |
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408 | (1) |
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4.2 Importance of radioactivity by radionuclides |
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409 | (1) |
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5 Importance of microbial bioremediation |
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410 | (6) |
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5.1 Clay-based buffer for microorganisms |
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411 | (1) |
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5.2 Sulfate reducing bacteria in bioremediation |
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411 | (1) |
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5.3 Conventional methods of bioremediation |
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412 | (4) |
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416 | (2) |
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416 | (1) |
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416 | (1) |
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417 | (1) |
|
|
417 | (1) |
|
|
417 | (1) |
|
|
418 | (1) |
|
|
418 | (1) |
|
7 Radionucleotides sources |
|
|
418 | (8) |
|
7.1 Naturally occurring radioactive material |
|
|
419 | (1) |
|
|
419 | (1) |
|
|
419 | (1) |
|
|
420 | (1) |
|
7.5 Levels of nuclear waste from power plants |
|
|
420 | (1) |
|
7.6 Low-level radioactive waste |
|
|
420 | (1) |
|
7.7 Disposal method for LLW |
|
|
420 | (1) |
|
7.8 Intermediate level radioactive waste |
|
|
421 | (1) |
|
7.9 Disposal method for ILW |
|
|
422 | (1) |
|
7.10 High-level radioactive waste |
|
|
423 | (1) |
|
7.11 Disposal method for HLW |
|
|
424 | (2) |
|
8 Effects of radionucleotides |
|
|
426 | (13) |
|
|
427 | (3) |
|
8.2 Bacterium interactions with radionucleotides |
|
|
430 | (9) |
|
|
439 | (2) |
|
|
441 | (2) |
|
|
443 | (2) |
|
Chapter 17 Metagenomics of contaminated wetland sediment in a tropical region |
|
|
445 | (10) |
|
|
|
|
|
445 | (1) |
|
2 Application of "omics" in natural/constructed wetlands |
|
|
446 | (1) |
|
3 Metagenomic study in natural wetlands of Indian tropical region |
|
|
447 | (2) |
|
4 Bacterial diversity in the rhizosphere of wetland plant T. latifolia L. |
|
|
449 | (2) |
|
|
451 | (1) |
|
|
452 | (2) |
|
|
454 | (1) |
|
Chapter 18 Hydrocarbons and environmental pollution: Metagenomics application as a key tool for bioremediation |
|
|
455 | (22) |
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|
|
|
|
|
|
455 | (3) |
|
2 Hydrocarbons and their problems |
|
|
458 | (5) |
|
2.1 Aliphatic and monoaromatic hydrocarbons |
|
|
459 | (2) |
|
2.2 Polycyclic aromatic hydrocarbon |
|
|
461 | (2) |
|
3 Application of microorganisms in bioremediation |
|
|
463 | (3) |
|
|
466 | (3) |
|
|
469 | (1) |
|
|
470 | (7) |
|
Chapter 19 A complete review on anaerobes and nanoparticles in wastewater treatment |
|
|
477 | (36) |
|
|
|
|
|
477 | (1) |
|
2 Biological wastewater treatment methods |
|
|
478 | (5) |
|
2.1 Anaerobic digestion (AD) method |
|
|
478 | (1) |
|
2.2 Up flow anaerobic sludge blanket reactor (UASB technology) |
|
|
478 | (1) |
|
2.3 Anaerobic fluidized bed reactor |
|
|
479 | (1) |
|
|
480 | (2) |
|
2.5 Constraints of large-scale AD adaptation |
|
|
482 | (1) |
|
2.6 AD's future application prospects |
|
|
482 | (1) |
|
2.7 Inhibiting factors of AD |
|
|
483 | (1) |
|
2.8 Effect of temperature |
|
|
483 | (1) |
|
2.9 Effect of pH and nutrients |
|
|
483 | (1) |
|
3 Bacterial communities involved in WWT |
|
|
483 | (8) |
|
3.1 Conforms (e.g., Escherichia coli) |
|
|
484 | (1) |
|
3.2 Cyanobacteria (e.g., Oscillatoria) |
|
|
484 | (1) |
|
3.3 Acetogenic bacteria (e.g., Acetobacter) |
|
|
485 | (1) |
|
|
485 | (5) |
|
3.5 Microbial genomics in wastewater |
|
|
490 | (1) |
|
|
491 | (4) |
|
4.1 Septage in bioremediation |
|
|
492 | (1) |
|
4.2 Methods available for the disposal of Septage |
|
|
493 | (1) |
|
4.3 Significant components in domestic wastewater and septage |
|
|
494 | (1) |
|
5 Membrane bio-engineering |
|
|
495 | (2) |
|
5.1 Membrane technology implications |
|
|
495 | (2) |
|
6 Environmental ramifications of anaerobic (bio) sewage treatment |
|
|
497 | (1) |
|
|
497 | (1) |
|
|
497 | (1) |
|
6.3 Resource conservation |
|
|
498 | (1) |
|
7 Nanoparticle's technology |
|
|
498 | (9) |
|
|
499 | (4) |
|
|
503 | (4) |
|
|
507 | (1) |
|
|
507 | (6) |
|
SECTION 3 Plant microbes association in environmetal remediation |
|
|
|
Chapter 20 Metagenomic approach role of psychrotrophic and psychrophilic microbes in bioremediation |
|
|
513 | (24) |
|
|
Richard Andi Solorzano Acosta |
|
|
Olenka Jazmin Matta Cariga |
|
|
Maryori Alexandra Espinoza-Medina |
|
|
Diana Carolina Chavez-Rojas |
|
|
|
|
|
Cristian Enrique Revollar-Panaifo |
|
|
|
|
|
513 | (2) |
|
2 Metagenomics of psychrotrophic microorganisms |
|
|
515 | (1) |
|
3 Metagenomics of psychrophilic microorganisms |
|
|
516 | (1) |
|
4 Bioremediation using psychrotrophic and psychrophilic microorganisms |
|
|
517 | (2) |
|
5 Psychrotrophic and psychrophilic species of microorganisms used in bioremediation |
|
|
519 | (1) |
|
6 Metagenomics in bioremediation using psychrotrophic and psychrophilic microorganisms |
|
|
519 | (8) |
|
7 Metagenomic approach to hydrocarbon bioremediation (in aquatic environments) by psychrotrophic and psychrophilic microorganisms |
|
|
527 | (1) |
|
8 Drawbacks and future challenges of metagenomics of psychrophilic and psychrotrophic microorganisms |
|
|
528 | (3) |
|
|
531 | (6) |
|
Chapter 21 Nano- and phytoremediation technique for textile wastewater treatment and successive production of fertilizers |
|
|
537 | (24) |
|
|
|
|
|
|
|
|
537 | (1) |
|
2 Textile dyes characteristics |
|
|
538 | (1) |
|
3 Textile dyes classification |
|
|
539 | (1) |
|
4 Influence of textile wastewater on environment |
|
|
540 | (2) |
|
5 Potential pollutants in textile wastewater |
|
|
542 | (2) |
|
|
542 | (1) |
|
|
543 | (1) |
|
|
543 | (1) |
|
|
544 | (1) |
|
6 Environmental and health impacts of textile wastewaters |
|
|
544 | (1) |
|
7 Bio-remediation techniques |
|
|
545 | (1) |
|
|
545 | (1) |
|
|
546 | (1) |
|
|
547 | (1) |
|
10 Synergistic strategies for degradation of textile dyes and effluents |
|
|
548 | (1) |
|
11 Reactor development and constructed wetland strategies for phytoremediation of textile dyes and effluents |
|
|
549 | (1) |
|
12 Plant mechanisms for treatment of textile dyes and effluents |
|
|
550 | (1) |
|
12.1 Adsorptive degradation of dyes |
|
|
550 | (1) |
|
13 Factors affecting phytoremediation |
|
|
551 | (2) |
|
|
552 | (1) |
|
13.2 Dye concentration and hydraulics |
|
|
552 | (1) |
|
13.3 Oxygen, water, and nutrient availability |
|
|
552 | (1) |
|
|
553 | (1) |
|
13.5 Solar energy and radiations |
|
|
553 | (1) |
|
14 Conclusion and futuristic approach |
|
|
553 | (1) |
|
|
554 | (1) |
|
|
554 | (7) |
|
Chapter 22 Plant-microbes association: Psychrophilic and psychrotrophic microorganisms associated with plants and their potential environmental services |
|
|
561 | (16) |
|
|
Richard Andi Solorzano Acosta |
|
|
Gianfranco Talavera Gutierrez |
|
|
Olenka Jazmin Matta Cariga |
|
|
Maryori Alexandra Espinoza-Medina |
|
|
|
Cristian Enrique RevolIar-Panaifo |
|
|
|
561 | (2) |
|
2 Plant-psychrotrophic microorganism interactions |
|
|
563 | (1) |
|
3 Plant-psychrophilic microorganism interactions |
|
|
564 | (1) |
|
4 Environmental services of psychrotrophic and psychrophilic bacteria associated with plants |
|
|
565 | (6) |
|
4.1 Biodegradation of contaminant compounds in cold climates |
|
|
566 | (1) |
|
4.2 Bioinoculants to stimulate plant growth in cold climates |
|
|
567 | (1) |
|
4.3 Bioinoculants that improve plant tolerance to low temperatures |
|
|
568 | (1) |
|
4.4 Agents for biodegradation of agricultural residues at low temperatures |
|
|
568 | (3) |
|
|
571 | (6) |
|
Chapter 23 Metal-organic frameworks-based emerging platforms for recognition and monitoring of environmentally hazardous organic contaminants |
|
|
577 | (64) |
|
|
|
|
577 | (1) |
|
2 Potential applications of electrochemical sensors based on MOF for the sensing of organic pollutants |
|
|
578 | (11) |
|
2.1 Detection of pesticides through MOF based sensors |
|
|
578 | (5) |
|
2.2 Detection of antibiotics through MOF-based electrochemical sensors |
|
|
583 | (2) |
|
2.3 Detection of phenolic compounds through MOF-based electrochemical sensors |
|
|
585 | (4) |
|
3 Conclusion and future prospects |
|
|
589 | (1) |
|
|
589 | (52) |
|
Chapter 26 Immobilized enzyme reactors for bioremediation |
|
|
641 | (18) |
|
|
|
|
|
641 | (2) |
|
|
643 | (3) |
|
3 Enzyme immobilization techniques |
|
|
646 | (2) |
|
4 Immobilized enzyme reactors---recent advancements |
|
|
648 | (3) |
|
5 Pros and cons of immobilized enzyme reactors |
|
|
651 | (1) |
|
6 Immobilized enzyme reactor for wastewater treatment |
|
|
651 | (3) |
|
|
654 | (1) |
|
|
654 | (1) |
|
|
654 | (5) |
|
Chapter 27 Biochar processing for green and sustainable remediation: Wastewater treatment, bioenergy, and future perspective |
|
|
659 | (26) |
|
|
|
|
|
|
|
|
659 | (2) |
|
2 Biomass conversion techniques |
|
|
661 | (3) |
|
|
661 | (1) |
|
|
662 | (1) |
|
|
662 | (2) |
|
3 Effects of process parameters on biochar yield |
|
|
664 | (3) |
|
|
664 | (1) |
|
3.2 Effect of temperature |
|
|
664 | (1) |
|
|
665 | (1) |
|
3.4 Effect of particle size |
|
|
665 | (1) |
|
3.5 Effect of biomass composition |
|
|
666 | (1) |
|
4 Adsorption mechanism for aqueous contaminant removal |
|
|
667 | (4) |
|
|
667 | (1) |
|
|
667 | (4) |
|
4.3 Nitrogen and phosphorous removal |
|
|
671 | (1) |
|
5 Application in wastewater treatment |
|
|
671 | (4) |
|
5.1 Industrial wastewater treatment |
|
|
672 | (1) |
|
5.2 Municipal wastewater treatment |
|
|
673 | (1) |
|
5.3 Agricultural wastewater treatment |
|
|
673 | (1) |
|
5.4 Storm water treatment |
|
|
674 | (1) |
|
|
675 | (2) |
|
|
676 | (1) |
|
6.2 Catalytic esterification |
|
|
676 | (1) |
|
7 Future perspective: Concept of nano-biochar |
|
|
677 | (1) |
|
|
678 | (1) |
|
|
679 | (6) |
|
Chapter 28 High-throughput sequencing technologies in metagenomics |
|
|
685 | (24) |
|
|
|
|
|
685 | (1) |
|
2 Current high throughput sequencing technology |
|
|
686 | (1) |
|
3 Various commercially available second-generation platforms for metagenomic studies |
|
|
687 | (2) |
|
|
687 | (1) |
|
3.2 BGI sequencing platform |
|
|
688 | (1) |
|
3.3 Thermo fisher ion torrent platform |
|
|
688 | (1) |
|
4 Various commercially available third-generation platforms for metagenomic research |
|
|
689 | (2) |
|
|
689 | (1) |
|
4.2 Oxford nanopore technologies |
|
|
689 | (1) |
|
4.3 Sample processing and library preparation |
|
|
690 | (1) |
|
|
691 | (3) |
|
|
691 | (1) |
|
|
692 | (1) |
|
5.3 Human host subtraction |
|
|
692 | (1) |
|
|
693 | (1) |
|
5.5 Taxonomic classification |
|
|
693 | (1) |
|
|
693 | (1) |
|
6 Challenges and future directions |
|
|
694 | (2) |
|
6.1 Human host background |
|
|
694 | (1) |
|
6.2 Intracellular bacteria and fungi |
|
|
694 | (1) |
|
6.3 RNA instability in the process |
|
|
694 | (1) |
|
6.4 Biological information analysis: Optimization of microbial databases and virus classification |
|
|
695 | (1) |
|
|
695 | (1) |
|
6.6 Flaws in mNGS as compared to conventional approaches for microbe detection |
|
|
695 | (1) |
|
|
696 | (7) |
|
7.1 Identification of antibiotic resistance genes |
|
|
696 | (1) |
|
7.2 Characterization of the human microbiome |
|
|
697 | (1) |
|
7.3 Gut microbiome dysbiosis and phenotype |
|
|
698 | (1) |
|
7.4 Categorization of microbiome under specific conditions |
|
|
699 | (1) |
|
7.5 Investigation of human host responses |
|
|
700 | (1) |
|
7.6 Infectious disease diagnosis |
|
|
700 | (3) |
|
|
703 | (1) |
|
|
704 | (5) |
|
Chapter 29 Genetically engineered microbes for bioremediation and phytoremediation of contaminated environment |
|
|
709 | (14) |
|
|
|
|
|
|
|
709 | (11) |
|
1.1 Bioremediation mechanisms using genetically modified microbes |
|
|
710 | (1) |
|
1.2 Genetically modified microbes for bioremediation |
|
|
711 | (1) |
|
1.3 Bioremediation of heavy metals |
|
|
711 | (4) |
|
1.4 Bioremediation of oil spill |
|
|
715 | (3) |
|
1.5 Phytoremediation using genetically modified plants |
|
|
718 | (1) |
|
1.6 Advantages of genetically engineered microorganisms in bioremediation |
|
|
719 | (1) |
|
|
720 | (1) |
|
|
720 | (3) |
|
Chapter 30 Proteomics monitoring of microbes in contaminated environments |
|
|
723 | (14) |
|
|
|
|
|
|
723 | (1) |
|
2 Techniques for metaproteomic studies |
|
|
724 | (3) |
|
3 Fundamental developments of MS-based proteomics |
|
|
727 | (1) |
|
4 Microbial community proteomics in different environments |
|
|
727 | (4) |
|
4.1 Marine and freshwater metaproteomics |
|
|
727 | (2) |
|
|
729 | (1) |
|
4.3 Wastewater and activated sludge metaproteomics |
|
|
730 | (1) |
|
4.4 Acid mine drainage (AMD) biofilm metaproteomics |
|
|
731 | (1) |
|
|
731 | (1) |
|
|
732 | (1) |
|
|
733 | (1) |
|
|
734 | (3) |
|
Chapter 31 Development of biosensors for application in industrial biotechnology |
|
|
737 | (18) |
|
|
|
|
|
|
737 | (2) |
|
2 Development of biosensor |
|
|
739 | (4) |
|
|
741 | (1) |
|
|
742 | (1) |
|
2.3 Working principle of biosensor |
|
|
742 | (1) |
|
3 Application of biosensors in industrial biotechnology |
|
|
743 | (5) |
|
3.1 Biosensor in food industry |
|
|
743 | (1) |
|
3.2 Biosensors in cancer research |
|
|
744 | (1) |
|
3.3 Smart packaging by biosensors |
|
|
744 | (1) |
|
3.4 Role of biosensors in tissue engineering and its applications |
|
|
744 | (2) |
|
3.5 Environmental application of biosensors |
|
|
746 | (2) |
|
4 Latest advancement in biosensors |
|
|
748 | (1) |
|
|
749 | (1) |
|
|
750 | (5) |
|
Chapter 32 Microbial enzymes: Versatile tools for pollution abatement |
|
|
755 | (22) |
|
|
|
|
|
755 | (1) |
|
2 Global scenario of pollution generation and possible remediation |
|
|
756 | (3) |
|
|
757 | (1) |
|
2.2 Remediation strategies: Multi-omics approach |
|
|
758 | (1) |
|
3 Microbial enzymes and their coding genes: Multi-omics in bioremediation of major pollutants |
|
|
759 | (12) |
|
3.1 Industrial pollutants |
|
|
761 | (7) |
|
3.2 Agricultural pollutants |
|
|
768 | (2) |
|
|
770 | (1) |
|
|
770 | (1) |
|
4 Enzyme-based smart technologies |
|
|
771 | (2) |
|
|
772 | (1) |
|
|
772 | (1) |
|
5 Future prospects and conclusion |
|
|
773 | (1) |
|
|
773 | (1) |
|
|
773 | (3) |
|
|
776 | (1) |
Index |
|
777 | |