Contributors |
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xxi | |
Preface |
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xxv | |
Acknowledgments |
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xxix | |
1 Bioinformatics methods: application toward analyses and interpretation of experimental data |
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1 | (1) |
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1 | (1) |
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1.3 Identification of organisms from nucleotide sequence |
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2 | (5) |
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2 | (1) |
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1.3.2 Methods for nucleotide BLAST |
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2 | (2) |
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1.3.3 Interpretation of BLAST results |
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4 | (1) |
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1.3.4 Construction and interpretation of phylogenetic tree |
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5 | (1) |
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1.3.5 Sequence deposition |
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6 | (1) |
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1.4 Microbial ecology statistics |
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7 | (6) |
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1.4.1 Species composition/species richness |
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7 | (1) |
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7 | (3) |
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10 | (3) |
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13 | (4) |
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1.5.1 Sampling statistics |
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14 | (1) |
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1.5.2 Testing of hypothesis |
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15 | (1) |
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1.5.3 Probability distribution |
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15 | (2) |
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1.6 Advanced bioinformatics tools in biological sciences |
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17 | (1) |
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17 | (1) |
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1.6.2 Phylogenetic analysis |
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17 | (1) |
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18 | (1) |
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18 | (1) |
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18 | (3) |
2 Genome sequence analysis for bioprospecting of marine bacterial polysaccharide-degrading enzymes |
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21 | (1) |
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2.2 Marine polysaccharides and polysaccharide-degrading bacteria: an overview |
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22 | (1) |
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2.3 Identification of polysaccharide-degrading genes through genome annotation |
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23 | (4) |
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2.4 Identification of polysaccharide-degrading genes in newly sequenced bacterial genome: a guide for beginners |
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27 | (1) |
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2.5 Genome sequence analysis unravels organization of polysaccharide-degrading genes as polysaccharide utilization loci |
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28 | (1) |
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2.6 Genome annotation: a potential tool for the elucidation of glycometabolism pathways |
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28 | (1) |
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2.7 CAZy database: a promising tool for the classification of polysaccharide-degrading genes/enzymes identified in newly sequenced genomes |
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29 | (1) |
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2.8 Validation of computationally identified polysaccharide-degrading genes in the genomes of marine bacteria |
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30 | (1) |
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30 | (1) |
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30 | (5) |
3 Proteomics analysis of Mycobacterium cells: challenges and progress |
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35 | (2) |
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3.2 Proteome analysis of axenic mycobacteria |
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37 | (2) |
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3.3 Proteome analysis of mycobacteria-infected cells |
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39 | (1) |
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3.4 Proteome analysis of mycobacteria-containing host vacuoles |
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39 | (1) |
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40 | (1) |
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41 | (4) |
4 Plant proteomics: a guide to improve the proteome coverage |
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45 | (1) |
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4.2 Hurdles associated with plant proteins sample preparation for mass spectrometry-based proteomics |
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46 | (1) |
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4.3 Primary considerations to design suitable workflows for plant proteomics |
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46 | (15) |
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4.3.1 Effective protein sample preparation: extraction and recovery from difficult plant samples |
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50 | (3) |
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4.3.2 Contaminant removal from or during protein digestion |
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53 | (1) |
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4.3.3 Overcoming the high-dynamic range of protein concentrations for the discovery of low-abundant proteins |
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54 | (4) |
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4.3.4 Digestion of plant proteins |
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58 | (1) |
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4.3.5 Overcoming technical and biological variations |
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59 | (2) |
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4.4 Advances and applications in plant proteomics |
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61 | (1) |
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4.4.1 Proteogenomics to help annotation of open reading frames (ORFs) in newly sequenced genomes |
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61 | (1) |
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4.4.2 Understanding plant development and responses to environmental clues |
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62 | (1) |
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4.5 Conclusion and future perspective |
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62 | (1) |
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63 | (6) |
5 Structural analysis of proteins using X-ray diffraction technique |
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69 | (1) |
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5.2 Historical background |
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70 | (1) |
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5.3 X-ray crystallography |
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71 | (1) |
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5.4 Protein X-ray crystallography |
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72 | (2) |
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5.5 Advances in protein crystallography |
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74 | (2) |
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5.6 Case study: extended spectrum β-lactamases |
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76 | (4) |
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80 | (1) |
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80 | (1) |
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80 | (5) |
6. Technological advancements in industrial enzyme research |
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Vazhakatt Lilly Anne Devasia |
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85 | (1) |
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86 | (3) |
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89 | (1) |
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6.4 Improvement of existing enzymes through mutagenic approaches |
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90 | (3) |
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6.4.1 By site-directed mutagenesis |
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90 | (1) |
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6.4.2 By random mutagenesis |
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91 | (2) |
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6.5 High-throughput screening of genetic variants for novel enzyme production |
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93 | (1) |
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6.6 Immobilization of enzymes |
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93 | (1) |
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6.7 Enzyme inhibitor studies |
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94 | (1) |
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6.8 Enzyme promiscuity and multifunctional enzyme studies |
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95 | (1) |
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6.9 Sequence-dependent approach of the novel gene encoding the target enzyme/protein |
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96 | (1) |
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6.10 Function-based identification of the novel gene |
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96 | (1) |
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6.11 Identification of the novel gene by sequencing techniques |
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97 | (1) |
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6.12 Improvement of enzymatic catalysis by microbial cell surface display |
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98 | (1) |
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99 | (1) |
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99 | (4) |
7 Biotechnological implications of hydrolytic enzymes from marine microbes |
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Vazhakatt Lilly Anne Devasia |
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103 | (1) |
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7.2 Applications of marine hydrolases |
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104 | (8) |
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105 | (1) |
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7.2.2 Pharmaceuticals and cosmeceuticals |
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105 | (1) |
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106 | (2) |
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108 | (1) |
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7.2.5 Biopolymer industry |
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108 | (1) |
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109 | (1) |
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109 | (1) |
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110 | (1) |
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7.2.9 Paper and pulp industry |
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110 | (1) |
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111 | (1) |
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111 | (1) |
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7.2.12 Nanoparticle synthesis |
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112 | (1) |
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7.3 Prospecting the use of hydrolytic enzymes from marine microbes |
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112 | (1) |
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113 | (5) |
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118 | (1) |
8 Recent advances in bioanalytical techniques using enzymatic assay |
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119 | (2) |
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120 | (1) |
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8.1.2 Emergence of biosensors |
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120 | (1) |
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8.2 Classification of biosensors |
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121 | (6) |
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122 | (2) |
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8.2.2 Overcoming limitations in enzyme-based biosensors |
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124 | (2) |
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8.2.3 Application of enzyme biosensor |
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126 | (1) |
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8.3 Enzyme biosensors for environmental monitoring |
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127 | (1) |
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8.4 Enzyme biosensors for food quality monitoring |
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128 | (1) |
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8.5 Future prospects and conclusions |
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129 | (2) |
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131 | (3) |
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134 | (1) |
9 Microbial lectins: roles and applications |
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135 | (1) |
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9.2 Roles and mechanism of lectin action |
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136 | (5) |
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9.3 Applications of microbial lectins |
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141 | (2) |
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9.3.1 Lectins in diagnostics |
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141 | (1) |
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9.3.2 Lectins in bioremediation |
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141 | (1) |
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9.3.3 Lectins in bioflocculation |
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142 | (1) |
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9.3.4 Lectins in fluorescent staining |
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143 | (1) |
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9.3.5 Lectin and probiotics |
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143 | (1) |
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143 | (1) |
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144 | (3) |
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147 | (2) |
10 Biodegradation of seafood waste by seaweed- associated bacteria and application of seafood waste for ethanol production |
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Diviya Chandrakant Vaingankar |
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149 | (2) |
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10.2 Materials and methods |
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151 | (3) |
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10.2.1 Collection of marine seaweed samples |
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151 | (1) |
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10.2.2 Enrichment of Ulva-associated bacteria |
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151 | (1) |
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10.2.3 Isolation of calcium carbonate solubilizing marine Ulva-associated bacteria |
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151 | (1) |
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10.2.4 Investigating seafood waste (fish, crab, prawn waste) utilizing potential of selected calcium carbonate-solubilizing bacteria |
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151 | (1) |
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10.2.5 Agarase production by marine Ulva sp.-associated bacteria |
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152 | (1) |
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10.2.6 Production of protease by Ulva sp.-associated bacteria |
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152 | (1) |
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10.2.7 Phosphate solubilization by acid-producing Ulva sp.-associated bacteria |
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152 | (1) |
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10.2.8 Cellulase production by Ulva sp.-associated bacteria |
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152 | (1) |
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10.2.9 Production of chitinase by Ulva sp.-associated bacteria |
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153 | (1) |
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10.2.10 Degradation of fish/crab/prawn waste using microbial consortia developed using Ulva sp.-associated bacteria |
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153 | (1) |
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10.2.11 Identification of seaweed-associated bacteria |
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154 | (1) |
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10.3 Results and discussion |
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154 | (3) |
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10.4 Application of seafood waste for bioethanol production |
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157 | (1) |
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158 | (1) |
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158 | (3) |
11 Phosphate solubilization by microorganisms: overview, mechanisms, applications and advances |
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161 | (1) |
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11.2 Phosphate-solubilizing microorganisms: an overview |
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161 | (3) |
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11.2.1 Screening microorganisms for phosphate solubilization |
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163 | (1) |
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11.3 Phosphate solubilizing microorganisms: mechanisms |
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164 | (3) |
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11.3.1 Inorganic phosphate-solubilization mechanisms |
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165 | (2) |
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11.3.2 Organic phosphate solubilization mechanisms |
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167 | (1) |
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11.4 Phosphate-solubilizing microorganisms: applications and advances |
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167 | (4) |
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167 | (2) |
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169 | (2) |
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171 | (1) |
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171 | (6) |
12. Metagenomics a modern approach to reveal the secrets of unculturable microbes |
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177 | (1) |
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12.2 History of metagenomic approach |
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178 | (1) |
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12.3 Approach, strategies, and tools used in the metagenomic analysis |
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179 | (4) |
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12.3.1 Isolation of metagenomic DNA |
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180 | (2) |
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12.3.2 Cloning vector and host |
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182 | (1) |
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12.3.3 Screening of metagenomic clones |
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182 | (1) |
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12.3.4 Sequencing and bioinformatics analysis of the metagenomic clones |
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183 | (1) |
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12.4 Application of the metagenomic approach |
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183 | (3) |
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186 | (3) |
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189 | (1) |
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189 | (8) |
13 Halophilic archaea as beacon for exobiology: recent advances and future challenges |
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197 | (1) |
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13.2 Missions with exobiological significance |
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198 | (4) |
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198 | (2) |
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200 | (1) |
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201 | (1) |
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13.3 Extremophiles-a general overview |
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202 | (2) |
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13.4 Halophiles in the universe |
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204 | (1) |
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13.5 Modes of energy generation in halophilic archaea |
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205 | (1) |
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13.6 Radiation resistance in halophilic archaea |
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206 | (1) |
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13.7 Halophilic archaea from ancient halite crystals |
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207 | (1) |
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13.8 Adaptation of halophilic archaea to extreme temperatures and pH |
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208 | (1) |
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13.9 Growth of halophilic archaea in the presence of perchlorates |
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209 | (1) |
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13.10 Saline environments in space |
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209 | (1) |
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209 | (1) |
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210 | (1) |
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210 | (1) |
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13.11 Methods for detecting halophilic archaea in saline econiches |
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210 | (1) |
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211 | (1) |
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212 | (3) |
14 Bacterial probiotics over antibiotics: a boon to aquaculture |
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215 | (1) |
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14.2 The probiotic approach |
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216 | (1) |
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14.3 Antimicrobial mechanism of probiotics |
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217 | (2) |
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14.3.1 Production of antagonistic compounds |
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217 | (1) |
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14.3.2 Competitive exclusion |
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217 | (1) |
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218 | (1) |
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14.3.4 Production of other beneficiary compounds |
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219 | (1) |
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14.4 Screening and development of probiotics |
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219 | (5) |
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14.4.1 In vitro screening for antimicrobial activity |
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219 | (2) |
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14.4.2 Mucus adhesion, colonization, and growth profile |
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221 | (1) |
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14.4.3 Pathogenicity test |
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221 | (1) |
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14.4.4 Organism identification |
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222 | (1) |
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14.4.5 Route of delivery, dosage, and frequency |
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222 | (1) |
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14.4.6 In vivo validation |
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223 | (1) |
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223 | (1) |
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14.4.8 Economic evaluation |
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224 | (1) |
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14.5 Recent probiotics used in aquaculture |
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224 | (1) |
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14.6 Conclusion and future perspectives |
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224 | (4) |
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228 | (1) |
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228 | (5) |
15 Recent advances in quorum quenching of plant pathogenic bacteria |
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233 | (1) |
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15.2 Overview of the different quorum sensing molecules of plant pathogenic bacteria |
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234 | (2) |
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15.3 Mechanisms of quorum quenching |
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236 | (3) |
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15.3.1 Inhibition of synthesis of quorum sensing signal |
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236 | (1) |
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15.3.2 Inhibition of sensing of quorum sensing signal |
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236 | (1) |
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15.3.3 Degradation of quorum sensing molecules |
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237 | (2) |
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15.4 Quorum quenching against plant pathogens |
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239 | (1) |
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15.5 Transgenic plants expressing quorum quenching molecules |
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240 | (1) |
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15.6 Summary and future research needs |
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241 | (1) |
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242 | (1) |
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242 | (5) |
16 Trends in production and fuel properties of biodiesel from heterotrophic microbes |
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247 | (1) |
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16.2 Growth of different sources of biodiesel on various substrates |
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248 | (4) |
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16.2.1 Screening of lipid-producing microorganisms |
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248 | (4) |
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16.3 Harvesting of cellular biomass from fermentation broth |
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252 | (1) |
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253 | (2) |
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255 | (2) |
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16.6 Transesterification/FAME preparation-conventional two-step, one-step, use of lipases |
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257 | (4) |
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16.6.1 Transesterification process |
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257 | (4) |
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16.7 Determination of fuel properties of heterotrophic microbes |
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261 | (3) |
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261 | (1) |
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262 | (1) |
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262 | (1) |
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16.7.4 Higher heating value |
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263 | (1) |
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16.8 Conclusions and future perspectives |
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264 | (1) |
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264 | (1) |
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265 | (10) |
17 Advances and microbial techniques for phosphorus recovery in sustainable wastewater management |
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275 | (2) |
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17.2 Technologies for phosphorus recovery |
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277 | (2) |
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17.2.1 The process of struvite crystallization |
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277 | (1) |
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17.2.2 Recovery of struvite from wastes |
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278 | (1) |
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17.2.3 Source of magnesium for struvite formation |
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278 | (1) |
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17.3 Struvite crystallization technologies |
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279 | (4) |
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279 | (1) |
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17.3.2 Biological struvite precipitation |
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279 | (3) |
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17.3.3 Struvite formation within wastewater treatment plants: pilot-scale studies |
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282 | (1) |
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17.4 Use of struvite as fertilizer and its potential market |
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283 | (2) |
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17.4.1 Use of struvite to increase soil fertility |
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283 | (1) |
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17.4.2 World and India's fertilizer requirements |
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284 | (1) |
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17.5 Economic feasibility of struvite recovery process |
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285 | (1) |
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285 | (1) |
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286 | (5) |
18 Genotoxicity assays: the micronucleus test and the single-cell gel electrophoresis assay |
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291 | (7) |
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292 | (3) |
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18.1.2 Comet assay (single-cell gel electrophoresis) |
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295 | (3) |
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298 | (1) |
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299 | (4) |
19 Advances in methods and practices of ectomycorrhizal research |
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303 | (1) |
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19.2 Benefits of ECM association |
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304 | (1) |
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19.3 Cultivation and physiology of ECM fungi |
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305 | (3) |
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19.3.1 Cultivation media for ECM fungi |
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305 | (1) |
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19.3.2 Isolation methods of ECM fungi |
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306 | (2) |
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19.4 Identification methods of ECM fungi |
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308 | (2) |
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19.4.1 Conventional methods |
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308 | (1) |
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309 | (1) |
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19.4.3 Challenges in the identification of ECM |
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310 | (1) |
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19.4.4 Advances in identification of ECM |
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310 | (1) |
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19.5 Assessment and quantification of ECM |
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310 | (3) |
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19.5.1 Conventional methods of assessment and quantification of ECM |
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311 | (1) |
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19.5.2 Molecular tools of assessment and quantification of ECM |
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312 | (1) |
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19.6 Stress response and pigments/phenolics in ECM fungi |
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313 | (2) |
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19.7 Application in forestry: ECM fungi as bioinoculants |
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315 | (3) |
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19.7.1 Types of ectomycorrhizal inoculants |
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316 | (2) |
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19.7.2 Ectomycorrhizal inoculants in field applications |
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318 | (1) |
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318 | (2) |
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320 | (1) |
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320 | (1) |
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320 | (5) |
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325 | (2) |
20 Photocatalytic and microbial degradation of Amaranth dye |
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327 | (2) |
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20.2 Advanced photocatalytic amaranth degradation using titanium dioxide |
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329 | (9) |
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20.2.1 Characterization of TiO2 supported mesoporous Al2O3 catalyst |
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331 | (2) |
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20.2.2 Amaranth adsorption versus photocatalytic- degradation kinetics |
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333 | (3) |
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20.2.3 Identification of photodegradation products using LC-ESI-HRMS technique |
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336 | (1) |
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20.2.4 Toxicity of photodegradation products |
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337 | (1) |
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20.3 Bioremediation of amaranth dye |
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338 | (1) |
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20.4 Coupling of photocatalysis with bioremediation methods |
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339 | (3) |
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342 | (5) |
21 Role of nanoparticles in advanced biomedical research |
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347 | (1) |
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348 | (1) |
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21.3 Metal nanoparticles as drug delivery and anticancer agents |
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349 | (3) |
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21.3.1 Gold nanoparticles |
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350 | (1) |
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21.3.2 Silver nanoparticles |
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351 | (1) |
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21.4 Metal oxide nanoparticles as drug delivery and anticancer agent |
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352 | (2) |
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21.4.1 Iron oxide nanoparticles |
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353 | (1) |
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354 | (1) |
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21.5 Carbon-based nanoparticles as drug delivery and anticancer agents |
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354 | (2) |
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21.5.1 Graphene oxide/reduced graphene oxide for drug delivery |
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355 | (1) |
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356 | (1) |
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356 | (1) |
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357 | (6) |
22 Iron-oxygen intermediates and their applications in biomimetic studies |
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363 | (4) |
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22.2 Mononuclear nonheme iron(III)-superoxo complexes |
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367 | (1) |
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22.3 Mononuclear nonheme iron(III)-peroxo complex |
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368 | (1) |
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22.4 Mononuclear nonheme iron(III)-hydroperoxo complex |
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369 | (1) |
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22.5 Mononuclear high-valent iron(IV)-oxo complex |
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370 | (1) |
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22.6 Mononuclear nonheme iron(V)-oxo complex |
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371 | (2) |
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22.7 Application of iron-oxygen intermediates in biomimetics |
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373 | (1) |
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373 | (1) |
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374 | (1) |
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374 | (7) |
23. Frontiers in developmental neurogenesis |
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23.1 Introduction to neurogenesis |
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381 | (1) |
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23.1.1 Developmental neurogenesis |
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381 | (1) |
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23.2 Signaling pathway cross talk of developmental neurogenesis |
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382 | (4) |
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383 | (1) |
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23.2.2 Wingless/Integrated |
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384 | (1) |
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23.2.3 Hedgehog/Sonic hedgehogs |
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385 | (1) |
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23.2.4 Fibroblast growth factor |
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385 | (1) |
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23.2.5 Neuronal progenitor cell environment |
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386 | (1) |
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23.3 Tools to study developmental neurogenesis |
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386 | (5) |
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387 | (2) |
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23.3.2 Time-lapse analysis |
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389 | (1) |
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23.3.3 Transcriptome, metabolomics, and single-cell "omics" |
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390 | (1) |
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23.3.4 Real-time analysis of progenitors in both embryonic and postnatal studies by tissue explants/slice assays |
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390 | (1) |
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391 | (1) |
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391 | (4) |
24 Analytical methods for natural products isolation: principles and applications |
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395 | (1) |
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24.2 Extraction techniques |
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396 | (2) |
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24.3 Isolation and purification techniques |
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398 | (2) |
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24.4 High-performance liquid chromatography |
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400 | (1) |
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24.4.1 Analysis of chromatograms obtained from H PLC/GC |
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401 | (1) |
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24.5 Spectroscopic methods for characterization |
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401 | (2) |
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24.5.1 Ultraviolet-visible spectroscopy |
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402 | (1) |
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24.5.2 Infrared spectroscopy |
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402 | (1) |
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402 | (1) |
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24.5.4 Nuclear magnetic resonance spectroscopy |
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402 | (1) |
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24.6 Chemical profiling of marine sponges: case studies |
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403 | (4) |
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24.6.1 Marine sponge, Haliclona cribricutis |
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405 | (1) |
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24.6.2 Marine sponge, Fasciospongia cavernosa |
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405 | (2) |
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24.6.3 Marine sponge, Axinella donnani |
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407 | (1) |
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407 | (1) |
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408 | (1) |
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408 | (3) |
25 Advanced bioceramics |
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411 | (1) |
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25.2 Classification of biomaterials |
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412 | (1) |
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25.3 Applications and properties of bioceramics |
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413 | (2) |
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413 | (1) |
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25.3.2 β-Tricalcium phosphate (β-TCP) |
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414 | (1) |
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414 | (1) |
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414 | (1) |
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25.3.5 Bioglass and glass ceramics |
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415 | (1) |
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25.4 Conclusion and future perspectives |
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415 | (1) |
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415 | (1) |
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416 | (3) |
26 Production of polyhydroxyalkanoates by extremophilic microorganisms through valorization of waste materials |
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419 | (2) |
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26.2 Synthesis of polyhydroxyalkanoates |
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421 | (2) |
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26.3 Classification of PHAs |
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423 | (1) |
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26.3.1 Biosynthetic origin |
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423 | (1) |
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424 | (1) |
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424 | (1) |
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26.3.4 Nature of the monomers |
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424 | (1) |
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26.4 Screening, extraction, and characterization of polyhydroxyalkanoates |
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424 | (4) |
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424 | (2) |
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426 | (1) |
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26.4.3 PHA characterization |
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426 | (2) |
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26.5 Advances in the applications of PHAs |
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428 | (2) |
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428 | (1) |
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428 | (1) |
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26.5.3 Agricultural industry |
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429 | (1) |
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26.6 Extremophilic microorganisms |
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430 | (1) |
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26.7 Extremophilic microorganisms producing PHAs |
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430 | (2) |
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26.8 PHAs from renewable resources and agroindustrial wastes |
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432 | (5) |
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437 | (1) |
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437 | (1) |
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438 | (7) |
27 Techniques for the mass production of Arbuscular Mycorrhizal fungal species |
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445 | (1) |
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27.2 Pot/substrate-based mass production system |
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446 | (1) |
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447 | (1) |
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448 | (1) |
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448 | (1) |
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449 | (1) |
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449 | (1) |
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450 | (1) |
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450 | (3) |
28 Metagenomics: a gateway to drug discovery |
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453 | (1) |
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28.2 Approaches to accelerate antibiotic discovery |
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454 | (4) |
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28.2.1 Mining unusual habitats as a source of novel secondary metabolites |
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454 | (1) |
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28.2.2 Revolutionary cultivation techniques |
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454 | (2) |
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28.2.3 Next-generation sequencing techniques in mining for bioactive compounds |
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456 | (2) |
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28.3 Metagenomic or environmental or community genomic sequencing |
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458 | (2) |
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28.3.1 Sequence-based metagenomics |
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458 | (1) |
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28.3.2 Function-based metagenomics |
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458 | (2) |
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28.4 How metagenomics facilitates drug discovery |
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460 | (3) |
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463 | (1) |
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464 | (5) |
29 Application of 3D cell culture techniques in cosmeceutical research |
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469 | (1) |
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29.2 Two-dimensional cell system in cosmeceutical research |
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469 | (1) |
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29.3 Role of three-dimensional cell culture system in cosmeceutical research |
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470 | (1) |
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29.4 Key features of 3D cell culture |
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470 | (1) |
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29.5 Diverse application of 3D cell culture |
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471 | (1) |
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29.6 Preparation of 3D reconstructed human skin model |
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472 | (2) |
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29.6.1 The traditional approach for 3D skin model preparation |
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472 | (2) |
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29.6.2 Bioprinting technology for preparation of 3D skin models |
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474 | (1) |
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29.7 Application of 3D skin models in cosmeceutical research |
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474 | (4) |
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29.7.1 Skin whitening or melanin content |
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474 | (1) |
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29.7.2 Skin antiaging study using 3D in vitro skin model |
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475 | (1) |
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29.7.3 Antioxidant activity |
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475 | (1) |
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29.7.4 Anti-inflammatory activity |
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476 | (1) |
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29.7.5 Wound healing assay |
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476 | (1) |
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29.7.6 Skin corrosion test |
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476 | (1) |
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29.7.7 Skin cell irritation test |
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477 | (1) |
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29.7.8 Skin penetration assay |
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477 | (1) |
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29.7.9 Phototoxicity study |
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477 | (1) |
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29.7.10 Genotoxicity assay |
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478 | (1) |
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29.7.11 Skin absorption assay |
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478 | (1) |
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478 | (1) |
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479 | (1) |
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479 | (6) |
30 Advances in isolation and preservation strategies of ecologically important marine protists, the thraustochytrids |
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485 | (1) |
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30.2 Occurrence and ecological significance |
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486 | (1) |
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487 | (8) |
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30.3.1 Isolation of thraustochytrids |
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488 | (6) |
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30.3.2 Isolation of labyrinthulids |
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494 | (1) |
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30.4 Preservation of cultures |
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495 | (1) |
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30.5 Summary and future prospects |
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495 | (1) |
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495 | (1) |
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496 | (5) |
31 Advances in sampling strategies and analysis of phytoplankton |
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|
501 | (1) |
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|
502 | (2) |
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31.2.1 Choice of research vessel |
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|
502 | (1) |
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31.2.2 Sampling in coastal waters |
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|
503 | (1) |
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31.2.3 Aspects to be considered |
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|
504 | (1) |
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31.3 Analysis of phytoplankton |
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|
504 | (10) |
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31.3.1 Phytoplankton taxonomy |
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|
504 | (1) |
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31.3.2 Analysis of phytoplankton community structure |
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|
505 | (2) |
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31.3.3 Analysis of benthic diatoms |
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|
507 | (1) |
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31.3.4 Analysis of dinoflagellate cysts |
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508 | (1) |
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31.3.5 Study of fouling diatoms/biofilms |
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|
508 | (1) |
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31.3.6 Analysis of epibiotic phytoplankton |
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|
509 | (1) |
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31.3.7 Study of picophytoplankton |
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|
509 | (1) |
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31.3.8 Phytoplankton pigment analysis |
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|
510 | (1) |
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31.3.9 Analysis of viability and photosynthetic parameters of phytoplankton populations |
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|
511 | (2) |
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|
513 | (1) |
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31.4 Primary productivity |
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|
514 | (1) |
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31.4.1 Estimation of primary productivity using remote sensing |
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|
515 | (1) |
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31.4.2 Monitoring of HABs using remote sensing |
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|
515 | (1) |
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|
515 | (1) |
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|
516 | (1) |
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|
516 | (7) |
Index |
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523 | |