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Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5586_Библиотеки_им_академика_М_И_Перельмана.pdf
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- •Acknowledgement
- •Author biographies
- •Professor Ahmed Al-Harrasi
- •Dr Saurabh Bhatia
- •Dr Ajmal Khan
- •1.1 Introduction
- •1.2 Properties of enzymes
- •1.3 Catalysis
- •1.4 The structure of enzymes
- •1.5 Structural features: primary and secondary structures
- •1.6 Nomenclature and classification
- •1.6.1 Class 1—oxidoreductase
- •1.6.2 Class 2—transferase
- •1.6.3 Class 3—hydrolases
- •1.6.4 Class 4—lyases
- •1.6.5 Class 5—isomerases
- •1.6.6 Class 6—ligases
- •1.7 The mechanism of action of enzymes
- •1.7.3 Covalent catalysis
- •1.8 Catalysis via chymotrypsin
- •1.8.1 Intermediary stages of chymotrypsin
- •1.8.2 Kinetic behavior of α-chymotrypsin
- •1.8.3 Selective proteolysis in creation of the catalytic sites of enzymes
- •1.8.4 Kinetic models for enzymes
- •1.8.5 Enzyme mediated acid–base (general) catalysis
- •1.8.6 Metallozymes
- •1.9 Enzyme inhibition
- •1.10 Pharmaceutical applications
- •1.10.1 Diagnostic applications of enzymes
- •1.10.2 Enzymes in therapeutics
- •1.11 Plants and algae enzyme systems
- •1.12 Enzyme safety
- •1.13 Enzyme structure determination
- •1.13.1 X-ray crystallography
- •1.13.2 NMR spectroscopy
- •1.13.3 Cryo-electron microscopy
- •1.14 Enzyme engineering and design
- •1.14.1 Directed evolution of enzymes
- •1.14.2 Rational design of enzymes
- •1.14.3 Applications of engineered enzymes
- •1.15 Enzymes in medicine and healthcare
- •1.15.1 Enzyme-targeted drug delivery
- •1.15.2 Enzymes as drug targets
- •1.15.3 Challenges and opportunities in enzyme drug discovery
- •1.15.4 Enzymes in gene therapy
- •1.15.5 Enzymes in personalized medicine
- •1.15.6 Enzyme biomarkers in disease diagnosis
- •1.15.7 Pharmacogenomics and enzyme variability
- •1.15.8 Enzyme-based therapies for personalized treatment
- •1.16 Enzymes in bioremediation
- •1.17 Enzymes in agriculture and crop production
- •1.18 Enzymes in waste management
- •References
- •2.1 Introduction
- •2.1.1 Sources of enzymes
- •2.2 Enzyme production technology
- •2.2.1 Selection of microorganisms
- •2.2.2 Medium selection
- •2.2.3 Production process
- •2.2.5 Cell debris removal
- •2.2.6 Nucleic acid removal
- •2.2.7 Precipitation of enzymes
- •2.2.8 Liquid–liquid partition
- •2.2.9 Chromatographic separation
- •2.2.10 Drying and packing
- •2.2.11 Regulation of microbial enzyme production
- •2.2.12 Induction
- •2.2.13 Feedback repression
- •2.2.14 Nutrient repression
- •2.3 Procedures involved in enzyme production
- •2.3.1 Source and location of enzymes
- •2.3.2 The variety of microorganisms
- •2.3.3 Media for fermentation
- •2.3.4 Fermentation
- •2.3.5 Enzyme extraction
- •2.3.7 Finishing operations
- •2.4 Recombinant proteins from algae
- •2.5 Enzyme immobilization techniques
- •2.5.1 Advantages and applications of enzyme immobilization
- •2.5.2 Methods of enzyme immobilization
- •2.6 Enzyme engineering for enhanced stability and activity
- •2.6.1 Protein engineering strategies
- •2.6.2 Improving enzyme thermostability
- •2.7 Upstream process intensification
- •2.7.1 High cell density fermentation
- •2.7.2 Solid-state fermentation
- •2.7.3 Continuous fermentation
- •2.7.4 Microbial consortia for enzyme production
- •2.7.5 In situ product removal strategies
- •2.8 Enzyme production from extreme environments
- •2.8.1 Psychrophiles (cold-loving)
- •2.9.4 Automation and robotics in downstream processing
- •References
- •2.8.2 Thermophiles (heat-loving)
- •2.8.3 Acidophiles (acid-loving)
- •2.8.4 Alkaliphiles (alkaline-loving)
- •2.8.5 Halophiles (salt-loving)
- •2.8.6 Applications of extremozymes in biotechnology
- •2.9 Downstream process intensification
- •2.9.1 Continuous chromatography
- •2.9.2 Process integration and optimization
- •3.1 Industrial enzymes
- •3.2 Bacterial α-amylases
- •3.3 Fungal α-amylases
- •3.4 Bacterial proteases
- •3.5 Fungal proteases
- •3.6 Glucose isomerase (d-xylose ketol-isomerase; EC. 5.3.1.5)
- •3.7 Penicillinase
- •3.8 Chloramphenicol acetyltransferase
- •3.9 Aminoglycoside antibiotic inactivating enzymes
- •3.10 Fibrinolytic enzymes
- •3.10.1 Streptokinase
- •3.10.2 Urokinase
- •3.10.3 Tissue plasminogen activator (t-PA)
- •3.11 Biotechnological applications of enzymes
- •3.11.1 Algae and plant research
- •3.11.2 Immobilization
- •3.12 Industrial enzymes
- •3.12.1 Glucoamylase
- •3.12.2 Cellulases
- •3.13 The role of enzymes in the synthesis of functional foods
- •3.13.1 Lipases
- •3.13.2 Proteases
- •3.13.3 Carbohydrate-modifying enzyme
- •3.13.4 Tannase
- •3.13.5 Asparaginase
- •3.13.6 The phytases
- •3.14 Enzymes used as additives to food
- •3.14.1 The enzymatic synthesis of dietary antioxidants
- •3.14.2 The use of ascorbyl esters
- •3.14.3 Polyphenolic esters
- •3.14.4 Synthesis of sugars esters surfactants by enzymes
- •References
- •4.1 Introduction
- •4.2 Types of immobilization
- •4.2.1 Surface immobilization by covalent coupling
- •4.2.2 Adsorption
- •4.2.3 Complexation and chelation
- •4.2.4 Within-support immobilization
- •4.2.5 Cell immobilization
- •4.2.6 Commercial production of enzymes
- •4.3 Genetic engineering for microbial enzyme production
- •4.3.1 Cloning methods
- •4.4 Protein studies for modification of commercial enzymes
- •4.5 Enzyme and cell immobilization
- •4.6 Immobilization methods
- •4.6.1 Adsorption methods
- •4.6.3 Ionic binding
- •4.6.4 Hydrophobic adsorption
- •4.6.6 Entrapment method
- •4.6.7 Covalent binding
- •4.6.8 Cross-linking
- •4.7 Choice of immobilization technique
- •4.7.1 Immobilization of l-amino acid acylase
- •4.7.2 Stabilization of soluble enzymes
- •4.8 Immobilization of cells
- •4.8.1 Immobilization of viable cells
- •4.8.2 Immobilized non-viable cells
- •4.8.3 Drawbacks of immobilizing eukaryotic cells
- •4.8.4 The effect of immobilization on enzyme properties
- •4.8.5 Immobilized enzyme reactors
- •4.8.6 Applications of immobilized enzymes and cells
- •4.9 Manufacture of commercial products
- •4.9.1 Production of l-amino acids
- •4.9.2 Production of high-fructose syrup
- •4.9.3 Immobilized enzyme and cell analytical applications
- •4.10 Immobilized enzymes for biomedical applications
- •4.11.1 Bioluminescence
- •4.11.2 The measurement of biomass using bioluminescence-based techniques
- •4.11.4 Biosensors relying on bioluminescence
- •4.12 Bioluminescence-based microbial biosensors
- •4.12.1 The microencapsulation process involves the utilization of polymers and cells
- •4.12.2 Microcapsule evaluation
- •4.12.4 Modern developments in cell encapsulation
- •4.13 Immobilization of microalgae
- •4.13.1 Techniques for immobilization
- •4.13.2 Use of cryopreserved algae
- •4.13.3 Removal of nitrogen and phosphorous
- •4.13.4 Disposal of metals
- •4.13.5 Biosensor development
- •References
- •5.1 Introduction
- •5.2 Principles of a biosensor
- •5.3 Different types of biosensors
- •5.3.1 Electrochemical biosensors
- •5.3.2 Thermometric biosensors
- •5.3.3 Optical biosensors
- •5.3.4 Piezoelectric biosensors
- •5.3.5 Whole-cell biosensors
- •5.3.6 Immunobiosensors
- •5.4 Applications of biosensors
- •5.4.1 Applications in medicine and health
- •5.4.2 Applications in industry
- •5.4.3 Applications in pollution control
- •5.4.4 Applications in the military
- •5.4.5 Immobilized enzymes and cell therapeutic applications
- •5.5 Recent advancements in biosensor technology
- •5.5.1 Electrochemical biosensors
- •5.5.2 Optical/visual biosensors
- •5.5.3 Silica, quartz/crystal, and glass biosensors
- •5.5.4 Nanomaterials-based biosensors
- •5.5.5 Fluorescent biosensors that are either genetically encoded or synthetic
- •5.7 Technological comparison of biosensors
- •5.9 Grand challenges in biosensors and biomolecular electronics
- •5.9.1 Sensitivity
- •5.9.2 Multiplex capability
- •5.9.3 Continuous monitoring in vivo
- •5.10.1 Sustainability to the ecosystem
- •References
- •6.1 Introduction
- •6.2 Types of biotransformation reactions
- •6.3 Sources of biocatalysts and techniques for biotransformation
- •6.3.1 Growing cells
- •6.3.2 Non-growing cells
- •6.3.3 Immobilized cells
- •6.3.4 Immobilized enzymes
- •6.4 Product recovery in biotransformations
- •6.5 Application of biotransformation in the production of pharmaceutical products
- •6.5.1 Biotransformation of steroids
- •6.5.2 Biotransformation of antibiotics
- •6.5.3 Biotransformation of arachidonic acid to prostaglandins
- •6.5.4 Biotransformation for the production of ascorbic acid
- •6.5.5 Biotransformation of glycerol to dihydroxyacetone
- •6.5.6 Biotransformation for the production of indigo
- •6.6 Mechanisms of enzyme action in biotransformation
- •6.6.1 Enzyme kinetics and biotransformation
- •6.6.2 Cofactors and coenzymes in biotransformation
- •6.6.3 Enzyme inhibition and activation
- •6.7 Biotransformation in environmental applications
- •6.7.1 Degradation of pollutants
- •6.7.2 Enzymatic breakdown of pesticides
- •6.8 Emerging technologies in biotransformation
- •6.8.1 Enzyme engineering and directed evolution
- •6.8.3 Biotransformation of lipids for healthy oils
- •6.9 Biotransformation challenges and future perspectives
- •6.9.1 Scalability issues in industrial applications
- •6.9.2 Regulatory and safety concerns
- •6.9.3 Challenges in enzyme storage and stability
- •6.9.4 Future trends and emerging areas of research
- •6.9.5 Biotransformation in biofuel production
- •6.9.6 Biotransformation in the cosmetic industry
- •6.9.7 Specialized enzyme systems: lignin-modifying enzymes in biotransformation
- •References
- •7.1 Introduction
- •7.2 Characterizations in genomics
- •7.3 Historical background
- •7.4 Genome sequencing
- •7.4.1 Clone-by-clone sequencing
- •7.4.2 Human whole-genome shotgun sequencing
- •7.4.3 Compilation of genome resources
- •7.5 Understanding bioinformatics and sequencing
- •7.6 Comparative genomics as a technique to understand evolution
- •7.6.2 Horizontal or lateral gene transfer
- •7.6.3 Genome similarity or homology
- •7.6.4 SNPs
- •7.6.5 Inferences from comparative genomics
- •7.6.6 Gene order comparisons (for phylogenetic inference)
- •7.6.7 Phylogenetic footprinting (computational method)
- •7.6.8 Origins, evolution and phenotypic impact of new genes
- •7.6.9 The concept of minimum genome size
- •7.6.10 Comparative genomics analysis of mitochondria and chloroplasts
- •7.7 Gene estimation and counting
- •7.7.1 Genome similarity, SNPs and comparative genomics
- •7.8 Genomes: genome evolution
- •7.8.1 Microbial genome reduction in bacteria
- •7.8.2 Role of duplications in the origin and evolution of the eukaryotic genome
- •7.8.3 Gene duplications increase genetic diversity and complexity
- •7.9 Algae bioinformatics
- •7.9.1 Scope of algae bioinformatics
- •7.9.2 What is involved in algae bioinformatics
- •7.9.3 Role of algae bioinformatics
- •7.9.4 Steps involved in obtaining the data for analysis using bioinformatics
- •7.10 Functional genomics
- •7.10.1 Introduction to functional genomics
- •7.10.2 Transcriptomics: studying the RNA molecules
- •7.10.3 Proteomics: understanding the world of proteins
- •7.10.4 Metabolomics: exploring cellular metabolites
- •7.10.5 Interactomics investigating protein–protein interactions
- •7.11 Structural genomics
- •7.11.1 Introduction to structural genomics
- •7.11.2 The approaches used in the domain of structural genomics
- •7.11.3 Importance of structural genomics in drug design
- •7.12 Epigenomics and epigenetics
- •7.12.1 Epigenetic inheritance and diseases
- •7.13 Pharmacogenomics
- •7.13.1 The importance of personalized medicine
- •7.13.2 The impact of genetic variations on drug response
- •7.13.3 Additional insights on pharmacogenomics
- •7.13.4 Pharmacogenomic tests in the market
- •7.13.5 Challenges in implementing pharmacogenomics
- •7.14 Population genomics
- •7.14.1 Studying genetic variation across populations
- •7.14.2 Population genomics techniques
- •7.14.3 Understanding human migration and evolution through population genomics
- •7.14.4 Conservation genomics in endangered species
- •7.15 Microbiome genomics
- •7.15.1 Introduction to the human microbiome
- •7.15.2 Techniques in studying microbial communities
- •7.15.3 Role of microbiome in human health and disease
- •7.15.4 Environmental microbiomes and their importance
- •7.16 Synthetic biology and genome editing
- •7.16.1 Techniques like CRISPR/Cas9 in genome editing
- •7.17 Systems biology and genomics
- •7.17.1 Integrative approaches in genomics
- •7.17.2 Modeling biological systems and networks
- •7.17.3 Challenges and opportunities in systems biology
- •7.18 Genome-wide association studies (GWAS)
- •7.18.1 Introduction to GWAS
- •7.18.2 Techniques and platforms for GWAS
- •7.18.3 Challenges in interpreting GWAS results
- •7.19 Future of genomics
- •7.19.1 Next-generation sequencing technologies
- •7.19.2 Ethical considerations in genomics research
- •7.19.3 The role of AI and machine learning in genomics
- •7.19.4 Personalized medicine and its potential impact
- •8.1 Introduction
- •8.2 Types of proteomics
- •8.2.1 Structural proteomics
- •8.2.2 Functional proteomics (strategy)
- •8.2.3 Expression proteomics
- •8.3 Basic techniques involved in proteomics
- •8.3.1 Sequence alignment (algorithms)
- •8.3.2 Protein structure (annotation resources)
- •8.3.3 Protein structural investigation
- •8.3.4 Two-dimensional gel electrophoresis in proteomics
- •8.3.5 Domain fusion method (or rosetta stone method)
- •8.4 Complete proteome of Mycoplasma genitalium
- •8.5 Architecture and design of the nuclear pore complex
- •8.6 Functional genomics and systems biology
- •8.6.2 Transcriptome, proteome and genomes
- •8.6.3 DNA arrays: a potential genomic tool
- •8.6.4 Gene function determination from sequence information
- •8.6.5 Protein interactions
- •8.7 Synthetic genomics
- •8.8 Advanced techniques in proteomics
- •8.8.1 Mass spectrometry in proteomics
- •8.8.2 Tandem mass spectrometry
- •8.8.3 Quantitative proteomics using mass spectrometry
- •8.8.4 Other advanced techniques in proteomics
- •8.8.5 Chromatography in proteomics
- •8.9 Proteogenomics
- •8.9.1 Proteogenomics role in precision medicine
- •8.10 Single-cell proteomics
- •8.10.1 Technologies enabling single-cell proteomics
- •8.11 Clinical and diagnostic proteomics
- •8.12 Metaproteomics
- •8.13 Emerging topics in proteomics
- •8.13.1 Data-independent acquisition (DIA)
- •8.13.2 Top-down proteomics
- •8.13.3 Targeted proteomics and selected reaction monitoring (SRM)
- •8.13.4 Proteomics in plant research
- •8.14 Ethical and data management issues in proteomics
- •8.14.1 Open-source platforms for proteomic analysis
- •8.15 Cellular and molecular dynamics
- •8.15.1 Molecular mechanisms of protein function
- •8.15.2 Protein degradation pathways
- •8.15.4 Cellular signaling pathways
- •8.15.5 Proteomic analysis of signaling networks
- •8.15.6 Signaling pathway dysregulation in disease
- •8.15.7 Targeting signaling pathways in drug discovery
- •8.15.8 Crosstalk between signaling pathways
- •8.16 Membrane proteomics
- •8.16.1 Techniques for membrane protein analysis
- •8.16.2 Membrane protein structure and function
- •8.16.3 Membrane proteins in disease
- •8.16.4 Drug targeting of membrane proteins
- •8.17 Subcellular proteomics
- •8.17.3 Proteomics of cellular compartments
- •8.17.4 Techniques for subcellular proteomic analysis
- •References
- •9.1 Introduction
- •9.2 History of bioinformatics
- •9.3 Sequences and nomenclature
- •9.3.1 DNA sequences
- •9.3.2 Amino acid sequences of proteins
- •9.3.3 Types of sequences in nucleotide sequence databases
- •9.3.4 Databases
- •9.3.5 Search engines and analysis tools
- •9.3.6 Various indian databases
- •9.4 Investigation by means of bioinformatics tools
- •9.4.4 Detection of noncoding RNA
- •9.4.5 Genome annotation
- •9.4.6 Molecular phylogenetics
- •9.5 Computational approaches in bioinformatics
- •9.5.1 Algorithm development
- •9.5.2 Phylogenetic tree construction algorithms
- •9.5.3 Machine learning algorithms in bioinformatics
- •9.5.4 High-performance computing (HPC) in bioinformatics
- •9.5.5 Cloud computing in genomics
- •9.5.6 GPGPU (general-purpose computing on graphics processing units)
- •9.5.7 Big data analytics in bioinformatics
- •9.5.8 Systems biology modelling
- •9.5.9 Systems pharmacology
- •9.5.10 Multiscale modeling
- •9.5.11 Computational genomics
- •9.5.12 Functional genomics
- •9.5.13 Comparative genomics
- •9.5.14 Epigenomics
- •9.5.15 Metagenomics
- •9.6 Bioinformatics in precision medicine
- •9.7 Translational bioinformatics
- •9.8 Bioinformatics in drug discovery and development
- •9.8.2 AI-driven drug discovery
- •9.9 CRISPR and genome editing in bioinformatics
- •9.10 Integrative and multi-omics analysis
- •References
- •10.1 Protein and enzyme engineering
- •10.2 Designing macromolecules
- •10.3 Protein engineering versus enzyme engineering
- •10.4 Protein engineering
- •10.5 Foundation of protein (enzyme) engineering
- •10.6 Basic assumptions for protein engineering
- •10.7 Steps involved in protein engineering
- •10.7.1 Studying three-dimensional protein structure
- •10.7.2 Protein modeling
- •10.7.3 Perturbation theory
- •10.8 Methods of protein engineering
- •10.9 Mutagenesis and selection of mutant enzymes
- •10.10 Gene modifications or gene synthesis for protein engineering
- •10.11 Multi-enzyme systems
- •10.12 Chemical modification of enzyme
- •10.13 Some early achievements of protein engineering
- •10.14 Computational approaches in protein engineering
- •10.14.1 Molecular dynamics simulations
- •10.14.2 Quantum mechanical calculations
- •10.14.3 Docking and ligand optimization
- •10.14.4 Machine learning algorithms in protein design
- •10.15 Directed evolution techniques
- •10.15.1 Error-prone PCR
- •10.15.3 Saturation mutagenesis
- •10.15.4 Phage display
- •10.16 Post-translational modifications
- •10.16.1 Glycosylation engineering
- •10.16.2 Phosphorylation engineering
- •10.16.3 Methylation and acetylation
- •10.16.4 PEGylation for enzyme stability
- •10.17 Structural flexibility and allosteric regulation
- •10.17.1 Intraprotein communication pathways
- •10.17.3 Modulator design
- •10.17.4 Coupling allosteric regulation with catalytic function
- •10.18 Protein–protein and protein–ligand interactions
- •10.18.1 Characterizing binding sites
- •10.18.3 Interaction networks
- •10.18.4 Biophysical methods for interaction studies
- •10.19 Applications in synthetic biology
- •10.19.1 Metabolic pathway engineering
- •10.19.2 Genetically encoded sensors
- •10.19.3 Protein-based logic gates
- •10.19.4 Gene circuits for dynamic control
- •10.20 Engineering multi-functional proteins
- •10.20.1 Fusion proteins
- •10.20.2 Protein scaffolds
- •10.20.3 Modular protein design
- •10.20.4 Dual-enzyme systems
- •10.21 Ethical and safety considerations
- •10.21.1 Bioethics in protein engineering
- •10.21.2 Biosafety and environmental concerns
- •10.21.3 Intellectual property rights
- •10.21.4 Regulatory frameworks
- •10.22 Studies in protein engineering
- •10.22.1 Therapeutic proteins
- •10.22.2 Industrial enzymes
- •10.22.3 Diagnostic proteins
- •10.23 Single-molecule techniques in protein engineering
- •10.23.1 Atomic force microscopy
- •10.23.2 Single-molecule FRET
- •10.23.3 Optical tweezers
- •10.23.4 Patch-clamp technique
- •10.24 High throughput screening methods
- •10.24.1 Fluorescence-activated cell sorting (FACS)
- •10.24.3 Yeast surface display
- •10.24.4 Mass spectrometry-based methods
- •10.25 Protein engineering for nanotechnology
- •10.25.1 Protein-based nanocarriers
- •10.25.2 Biosensors
- •10.25.3 Protein nanowires and nanotubes
- •10.25.4 DNA–protein hybrid structures

Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
its free-living relatives. The metal desorption rate in the presence of a 0.1 M
hydrochloric acid solution was shown to be 100%. Furthermore, the immobilized
system, once desorbed, exhibited comparable efficiency throughout the subsequent
cycle, indicating its potential for reusability. Microalga-luffasponge-immobilizeddisks (MLIDs) have shown a remarkable ability to maintain around 93% of their
original binding capacity for Ni throughout five consecutive reuse cycles [131].
Therefore, due to their notable efficiency, affordability, ease of preparation, and
ability to be reused multiple times, MLIDs exhibit potential as a compelling
biosorption technology for removing heavy metals. Nevertheless, the researchers
employed a novel biosorbent material from the marine brown alga, Ascophyllum
nodosum, within a packed-bed flow-through column. The study observed that
removing Cd from an effluent with an initial concentration of 10 mg Cd/l achieved
a 99.98% reduction. The metal removal efficacy of the bloom-forming cyanobacterium Microcystis was investigated. Microcystis, a cyanobacterium, is commonly
found in eutrophic ponds and reservoirs in India and other tropical regions [132]. It
is considered a nuisance due to its prolific presence. The immobilized state of this
cyanobacterium results from a capsule or slime layer surrounding the cell in its
natural habitat. The biosorption process was observed to be affected by variations in
pH and temperature. It is worth noting that heat-killed, formaldehyde-treated, and
metabolically inactive (DCMU-treated) Microcystis cells exhibited equivalent biosorption capability to metabolically active cells. This implies that deceased biomass
may also possess comparable efficacy in the metal removal process. The present
research team is actively investigating the viability of utilizing dried biomass for the
widespread implementation of Microcystis as a ‘AlgaSORB’ for the purpose of
removing metal build-up [133].
4.13.5 Biosensor development
The current scholarly attention in biotechnology is mostly directed toward using
immobilized microalgae to develop biosensors that can effectively detect and identify
potentially harmful substances, such as heavy metal and insecticides, within the
natural environment [134]. This microalga was immobilized on a detachable membrane and positioned close to the point of an optical fibre bundle within a microcell
constructed in-house. The identification of herbicides was predicated upon the assess-
ment of chlorophyll fluorescence kinetics. A permanent culture system was established
to generate algal cells under consistent circumstances for optimizing measurements. In
heavy metal detection, a biosensor is developed utilizing the enzymatic activity of
alkaline phosphatase (AP) located on the outer membrane of Chlorella vulgaris.The
conductometric biosensors exhibited greater sensitivity compared to bioassays for
detecting low concentrations of cadmium ions, with a detection limit of 1 ppb for Cd.
One notable benefit of utilizing AP-based biosensors is their notable stability, which
stems from their utilization of intact algal cells with APs on their cell walls, in contrast
to enzymatic biosensors. The enzyme persists within its native habitat, which promotes
prolonged stability and aligns with the mechanism of harmful inhibition, thereby
rendering it of ecological significance (figure 4.15)[135].
4-46

Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
Figure 4.15. Applications of biosensors in healthcare: advancements from disease detection to diagnostic
imaging and environmental monitoring.
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IOP Publishing
Introduction to Pharmaceutical Biotechnology, Volume 2
(Second Edition)
Enzymes, proteins and bioinformatics
Ahmed Al-Harrasi, Saurabh Bhatia and Ajmal Khan
Chapter 5
Biosensors
5.1 Introduction
The field of biosensors has developed hugely from the initial demonstration of the
concept of biosensors by Leland C Clark Jr in 1962. Currently, the biosensor market
is dominated by glucose biosensors, mass-produced enzyme electrodes for the quick
self-diagnosis of blood-glucose levels by diabetes patients [1–3]. A biosensor is an
analytical device containing an immobilized biological material (enzyme, antibody,
nucleic acid, hormone, organelle or whole cell) which can specifically interact with
an analyte and produce physical, chemical or electrical signals that can be measured.
An analyte is a compound (e.g. glucose, urea, drug, pesticide) whose concentration
needs to be measured [1–3]. Biosensors mainly consist of the quantitative analysis of
different substances by altering their biological actions into quantifiable signals. The
majority of biosensors have immobilized enzymes. The efficiency of biosensors is
typically dependent on two important factors, the specificity and sensitivity of the
biological reaction, in addition to the stability of the enzyme. The category of
biosensors that utilizes enzymes as the recognition element is known as enzymebased chemical biosensors. Their mechanism is based on biological recognition.
Typically it is based on a mixture of a biocatalyst and a supporting material to
transduce the biological signal, thus enzymes are allowed to participate in the
biochemical reaction. During their participation and after completion of biochemical reaction, the enzyme should be stable under the normal functional conditions of
the biosensor. Information about the target analyte always determines the structure
of biosensors along with the type of matrix in which the analyte has to be introduced
[1–3].
The two different components of a biosensor are (see figure 5.1):
• the biological component (enzyme, cell, etc); and
• the physical component (transducer, amplifier, etc).
doi:10.1088/978-0-7503-5387-8ch5 5-1 ª IOP Publishing Ltd 2024. All rights,
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Introduction to Pharmaceutical Biotechnology, Volume 2 (Second Edition)
Figure 5.1. A schematic representation of a biosensor.
Figure 5.2. Principles of a biosensor.
The biological component identifies and interacts with the analyte to produce a
physical change (a signal) that can be easily examined by the transducer. In practice,
the biological material is properly immobilized on the transducer and the so
prepared biosensors can be used several times (maybe about 10 000 times) for an
extensive period (e.g. several months).
5.2 Principles of a biosensor
Biosensors are valuable analytical devices that can be assimilated with on-line
process monitoring schemes [4]. The basic principle of a biosensor is dependent on
the affinity between the biological material and analyte (figure 5.2)[4]. The selected
biological material (usually a specific enzyme) is immobilized by conventional
procedures (physical or membrane entrapment, non-covalent or covalent bonding).
This immobilized biological material is in close interaction with the transducer.
5-2
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