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Файл:Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5603_Библиотеки_им_академика_М_И_Перельмана.pdf
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- •Aim and Scope
- •Preface
- •Acknowledgments
- •Contents
- •Contributors
- •About the Editors
- •1.1 Introduction
- •1.2.1 Friction
- •1.2.1.3 Friction Under Lubricated Conditions
- •1.7.1 Joint Tribology
- •1.7.2 Skin Tribology
- •1.7.3 Oral Tribology
- •1.8 Summary
- •References
- •2.1 Introduction
- •2.3.1 Fluid Pressurization/Fluid-Film Lubrication
- •2.3.2 Boundary Lubrication
- •2.3.3 Hydrodynamic Lubrication
- •2.3.4 Squeeze-Film Lubrication
- •2.3.5 Synovial Fluid
- •2.3.6 Hydration Lubrication
- •2.5.2 Scaffolds
- •2.5.3 Synthetic Polymer
- •2.5.4 Polyacrylamide
- •2.5.5 PEG Hydrogel
- •2.5.6 PVA Hydrogel
- •2.5.7 Double Network Hydrogel
- •2.5.8 Triple Network Hydrogel
- •2.6.1 Polyacrylamide
- •2.6.2 PEG Hydrogel
- •2.6.3 PVA Hydrogel
- •2.6.4 Double Network Hydrogel
- •2.6.5 Triple Network Hydrogel
- •2.7.1 Mechanical Properties
- •2.7.2 Structural Properties
- •2.8 Conclusion
- •References
- •3.1 Introduction
- •3.3.1 Label-Based Biosensors
- •3.3.2 Label-Free Biosensors
- •3.4 Different Nanobiosensing Techniques
- •3.4.1 Optical Sensing
- •3.4.2 Electrochemical/Electrical Sensing
- •3.4.3 Magnetic Sensing
- •3.4.4 Mass-Based Sensing
- •3.6.2 Neurodegenerative Diseases
- •3.6.3 Infectious Diseases
- •3.6.4 Metabolic Diseases
- •References
- •4.1 Introduction
- •4.2.1 Surface Functionalization
- •4.2.2 Bioconjugation
- •4.3 Synthesis Approach
- •4.3.1 Hydrothermal Method
- •4.3.2 Chemical Vapor Deposition (CVD)
- •4.3.3 Wet Chemical Method
- •4.4 Plasmonic Black Bodies (PBBs)
- •4.4.1 Gold NP (AuNPs)-Based PBB
- •4.4.2 Silver NPs (Ag NPs)-Based PBB
- •4.4.3 Platinum NPs (Pt NPs)-Based PBB
- •4.5 Biomimetic NP
- •4.6 Upconverting NP (UCNP)
- •4.6.1 Synthesis
- •4.7 Inorganic NP
- •4.7.1 Synthesis
- •4.8 Photothermal Therapy (PTT)
- •4.9 Conclusion
- •References
- •5.1 Introduction
- •5.2 Human Skin
- •5.10 Future Scope
- •5.11 Conclusion
- •References
- •6.1 Introduction
- •6.1.1 Class 1
- •6.1.2 Class 2
- •6.1.3 Class 3
- •6.4.1.1 Surface Patterning
- •6.4.1.2 Direct-Write Patterning
- •6.4.1.5 Dip-Pen Nanotechnology
- •6.4.1.7 Composing Using Beams
- •6.4.1.8 Direct Write Photolithography (DWP)
- •6.4.1.9 Light-Beam Lithography Electron
- •6.4.1.10 Focused Ion Beam Lithography
- •6.4.2 Fabrication Techniques
- •6.4.2.4 Non-invasive Glucose Monitoring Devices Technique
- •6.4.2.6 Cost-Effective Electrochemical Voltametric Sensors Techniques
- •6.4.2.7 Three-Dimensional (3D) Printing Techniques
- •6.4.2.8 UV-LED Stereolithography Printer Technique
- •6.4.2.9 4D Printing Techniques
- •6.4.2.10 Advanced Biomedical Techniques Involving Biorobots
- •References
- •7.1 Introduction
- •7.6 Mechanical Biocompatibility Challenges
- •7.7 Poor Bio-Printing Resolution
- •7.9 Limited Biomaterial Selection
- •7.11 Conclusion
- •8.2 Animal Tribology
- •8.2.1 Joint
- •8.2.3 Integumentary Change
- •References
- •8.1 Introduction
- •8.3.1 Nanotribology
- •8.4 Green Tribology
- •8.5 Conclusion
- •References
- •9.1 Introduction
- •9.2 Bio-Tribological Issues
- •9.3.2 Bone Fracture Fixation
- •9.3.4 Cardiovascular Devices
- •9.3.5 Minimal Invasive Surgical Devices
- •References
- •10.1 Introduction
- •10.2.2.1 Structural Integrity
- •10.2.2.2 Controlled Release Properties
- •10.2.2.3 Enhanced Drug Loading Capacity
- •10.2.2.4 Tailored Material Properties
- •10.2.3.1 Biocompatibility
- •10.2.3.3 Mechanical Properties
- •10.2.3.4 Drug Compatibility
- •10.2.3.5 Fabrication Compatibility
- •10.3.1 Matrix Material Properties
- •10.3.4 Biocompatibility Assessment
- •10.3.4.1 In Vitro Cell Culture Studies
- •10.3.4.2 Hemocompatibility Studies
- •10.3.4.3 In Vivo Animal Studies
- •10.3.4.4 Histological Analysis
- •10.3.4.5 Immune Response Evaluation
- •10.3.4.6 Biodegradation Assessment
- •10.4 Surface Engineering Considerations
- •10.4.2.1 Surface Coatings
- •10.4.2.2 Plasma Treatment
- •10.4.2.3 Surface Grafting
- •10.4.2.4 Dip Coating
- •10.4.2.5 Spray Coating System
- •10.4.2.6 Electrotreated Coating
- •10.4.2.9 Microfabrication Techniques
- •10.4.2.10 Surface Roughness Control
- •10.5.1.2 Mechanical Properties
- •10.5.1.3 Surface Characteristics
- •10.5.1.4 Release Kinetics Analysis
- •10.5.1.5 Biological Compatibility
- •10.5.1.7 Other Analyses
- •10.6 Advanced Fabrication Techniques
- •10.8 Conclusion
- •References
- •11.1 Introduction
- •11.2 Shape Memory Alloys (SMA)
- •11.3 Shape Memory Polymers
- •11.3.1 Heat
- •11.3.2 Light
- •11.3.3 Magnetic Field
- •11.4 Shape-Changing Hydrogels
- •11.5 Biomedical Applications
- •11.6 Conclusion
- •References
- •12.1 Introduction
- •12.3 Bioresorbable Orthopedic Implants
- •12.4.1 Polylactides
- •12.4.2 Poly (Ortho Esters)
- •12.4.3 Polyphosphoesters
- •12.4.4 Polyphosphazenes
- •12.4.5 Polycaprolactone
- •12.4.6 Polyurethanes
- •12.4.7 Polycarbonates
- •12.5.1 Compression Molding
- •12.5.2 Transfer Molding
- •12.5.3 Injection Molding
- •12.5.4 Extrusion
- •12.5.5 Blow Molding
- •12.5.6 Calendering Process
- •12.5.7 Fiber Spinning
- •12.5.8 Thermoforming
- •12.5.9 Polymer Foaming
- •12.7 Challenges
- •12.8 Conclusion
- •References
- •13.1 Introduction
- •13.3.1.1 Total Hip Replacement (THR)
- •13.3.2 Resurfacing Hip Replacement (RHR)
- •13.5.1 Adhesive Wear
- •13.5.2 Abrasive Wear
- •13.5.3 Fatigue Wear
- •13.5.4 Corrosion/Oxidative Wear
- •13.5.5 Surface Cracking
- •13.6.1 Metallic Implants
- •13.6.1.1 Stainless Steel
- •13.6.1.2 Co-Cr Alloys
- •13.6.1.3 Ti-Alloy
- •13.6.2 Ceramic Implants
- •13.6.3 Polymer Implants
- •13.6.4 Composite Implants
- •13.6.5.2 Surface Coatings
- •13.7.2.1 Hydrodynamic Lubrication
- •13.7.2.2 Boundary Lubrication
- •13.7.2.3 Elastohydrodynamic Lubrication
- •13.7.3 Biomimetic Lubrication Approaches
- •13.7.3.1 Replicating Natural Lubrication Mechanisms
- •13.7.4.1 Implant Wear
- •13.7.4.3 Synovial Fluid Degradation
- •13.8.1 Hydroxyapatite Coatings
- •13.8.1.1 Bone Integration
- •13.8.1.2 Implant Stability
- •13.8.1.4 Biocompatibility
- •13.8.2 Diamond-Like Carbon Coatings
- •13.8.3 Metal Nitride Coatings
- •13.8.4 Polymeric Coatings
- •13.8.5 Nanocomposite Coatings
- •13.9.1 Pin-on-Disk Testing
- •13.9.2 Hip Joint Simulators
- •13.9.3 Knee Joint Simulators
- •13.9.4 Tribo-Corrosion Testing
- •13.9.5 Wear Debris Analysis Techniques
- •13.9.5.1 Scanning Electron Microscopy (SEM)
- •13.9.5.2 Energy-Dispersive X-Ray Spectroscopy (EDS)
- •13.10.1.1 Tailored Geometries
- •13.10.1.2 Improved Wear Characteristics
- •13.10.1.3 Accelerated Innovation
- •13.10.2.1 Real-Time Wear Monitoring
- •13.10.2.2 Functionality Assessment
- •13.10.2.3 Implant Status Monitoring
- •13.10.2.4 Patient-Centric Healthcare
- •13.10.3.1 Advanced Biomaterials
- •13.10.3.4 Multidisciplinary Approaches
- •13.10.4.1 Wear Data Analysis
- •13.10.4.2 Predictive Wear Patterns
- •13.10.4.3 Early Intervention Strategies
- •13.10.4.4 Personalized Treatment Plans
- •13.11 Conclusion
- •References
- •14.1 Introduction
- •14.2.1 Powder Bed Fusion (PBF)
- •14.2.2 Directed Energy Deposition
- •14.3.1 Extrusion-Based AM
- •14.5 Biomanufacturing
- •14.5.1 Tissue Engineering
- •14.5.2 Organ-on-a-Chip Models
- •14.6 Conclusion
- •References
- •Index

6 Tribological Hurdles inBiomedical Manufacturing: AComprehensive Examination
6.4.2.9 4D Printing Techniques
Hollow self-folding 4D vascular tubes with shape memory are fabricated using
DIW printing techniques. Utilizing DIW printing technology, hollow, self-folding
4D vascular tubes are produced. DIW printing makes use of shape-morphing biopolymer hydrogels, such as methacrylated alginate (HAMA) and methacrylated
hyaluronic acid (AA-MA), respectively. Development of biodegradable polymercell architectures with adjustable response and functionality to produce intricate,
dynamic 4D structures [1]. The method for printing a vascular 4D scaffold isdirectly
using SMNCs: iron oxide and SMPs: PLA ink. A SMPsis a stimuli-responsive
vascular 4D stent that is actuated by a magnetic eld and may be remotely modied.
Wei etal.’s study demonstrated the direct printing of a vascular 4D scaffold using
SMPs: PLA ink and SMNCs: Fe3O4. The vascular 4D scaffold’s shape recovery
process was triggered by the addition of Fe3O4 nanoparticles, allowing for remotely
actuated behavior. The Cabrera etal. research team proposed a proof-of-concept
(POC) study [1].
6.4.2.10 Advanced Biomedical Techniques Involving Biorobots
Combining 3D and 4D printing techniques will enable the development of advanced
biomedical equipment that will have a major impact on the eld of biomedicine in
the future, such as biosensors, bionic ears and eyes, and biorobots, hydrogel can
also be used as nanorobots for slow drug release targeted hydrogel delivery.
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6.5 Challenges withApplying Biotribology
inBiomedical Devices
Some of the challenges associated with biomedical devices are making the device
nano, large-scale production of the device, inconsistency of quality of the device,
use of chips in human organs (brain), high-cost manufacturing, mechanical biocompatibility, poor bioprinting mechanism, cell damage rate (high), and the device
user’s ability [58–61].
1. Making the device nano
The major challenge lies inside the innovation of nanobiosensing that incorporates its tall-fetched and insufcient versatility courses. Additionally, endeavors must be taken in expository system of this novel innovation, in that way
reproducible manufacture must be conceivable.
Among the main issues with non-invasive devices are their application, accuracy, and usability. For instance, the physiological time lag between blood and
glucose and the indirect nature of measurement in the case of non-invasive glucose monitoring devices result in low usability and decreased accuracy. Another

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A. Kumar etal.
crucial issue is the usability of non-invasive devices for use in homes and businesses, namely in terms of their ultra-portability and simplicity while taking the
human factor into consideration. Adequate health data security is a restriction of
non-invasive devices, particularly when complicated technology is incorporated.
Moreover, there are disadvantages to non-invasive smart implants, like a lack of
regulations governing their use, privacy issues, and a small memory capacity
[62, 63]. We still need to investigate the connection between NPs’ production
and function. NPs frequently adsorb plasma proteins, which then interact with
the body’s immune system. They may also lead to the formation of free radicals,
which can also be genotoxic. Because expensive characterization devices are
required, the cost of nanomedicines is signicantly higher than that of traditional
treatments. Furthermore, when compared to traditional therapies, nanomedicines exhibit a higher degree of safety; yet, medical professionals typically do
not recommend an upgrade in the adequacy level. Given their vast surface area
and smaller particle size, nanomedicines generally provide an intriguing potential to improve bioavailability and reduce dosage frequency [64].
2. Large-scale production of the device
Critical reviews that disseminate the pertinent knowledge for the nanoparti-
cles design, shapes and sizes, as well as their synthesis and characterization techniques, are generally lacking in commercial biomedical applications that is,
outside of the conventional small-scale laboratory experiments. We ascribe this
void in discourse to a multitude of challenges related to the large-scale (commercial) manufacturing of nanomaterials for biomedical uses. Among these
challenges is determining how to produce nanomaterials in big quantities at a
reasonable cost. To do this, a preparation technique must be dened and sufciently scaled up to cover the costs associated with pursuing volume markets [64].
3. Inconsistency of quality of the device
The role of IoT in healthcare, the greatest challenge is devices’ interoperabil-
ity, which can lead to an arrange being uncovered to modern security vulnerabilities and extra hazard. The increment of intellectual property (IP)-connected
sensors in healing center gear and patients permits disposal of pointless squander
and spares lives. IoT healthcare in a time of ceaseless development, faces challenges, such as the collection, quality estimation, translation, and harmonization
of the information that’s inferred from the tremendous sums of heterogeneous
IoT restorative gadgets. A component is delivered to viably address the crossing
point of these challenges [1].
4. Use of chips in human organs (brain)
According to recent advancements, brain-machine interfacing holds guaran-
tee for the rebuilding of tangible and engine work and the treatment of neurological disarranges, but clinical brain-machine interfacing has not however been
broadly received, in portion, since humble channel checks have constrained their
potential. In this white paper, we depict Neuralink’s to begin with steps toward
an adaptable high-bandwidth brain-machine interface framework. We have built
clusters of little and adaptable anode “threads,” with as numerous as 3072 termi-

6 Tribological Hurdles inBiomedical Manufacturing: AComprehensive Examination
nals per cluster disseminated over 96 strings. We have too built a neurosurgical
robot competent of embedding’s six strings (192 terminals) per diminutive. Each
string can be exclusively embedded into the brain with micron exactness for evasion of surface vasculature and focusing on particular brain locales. The anode
cluster is bundled into a little implantable gadget that contains custom chips for
low-power on-board enhancement and digitization [65].
First, the processing of massive neural signals. According to statistics, the
current BCI technology ability to record twice as many neurons simultaneously
requires an average of 7.4years. It will take until 2100years to record 1million
neurons at the same time, but to record all the human brain neurons. Neurons,
you have to wait until 2225. Therefore, how many electrodes to implant is enough
to basically span major brain functions or fulll a specic functional need, that
is, how to solve the issue with effective bandwidth of the brain-computer interface has become the key point of academic research breakthroughs. Second, the
signal recognition accuracy is low [66].
5. High-cost manufacturing
Among other techniques, profound brain incitement surgery can provide
effective tremor control. However, its use is limited because of high expenses,
discrete, business-like preferences, and perceived high risk. Tremors are the
most common developmental disorder that interferes with daily activities and
physical activity, ultimately leading to a lower quality of life for the patient.
Robust tremor control can be achieved with surgical interventions such as deep
brain stimulation. However, their use is limited due to high costs, professional
and comprehension biases, and perceived high risks [1].
6. Mechanical biocompatibility
The least amount of toxicity, blood protein adhesion obstruction, and other
problems should exist. The polymeric matrix simultaneously improves load
redistribution via the softer matrix and increases the overall stiffness of the composite [67]. It is possible to summarize shape memory thermosets as having a
range of thermo-mechanical qualities that make them useful for medical devices.
However, managing them is difcult due to their insolubility and inability to
stream like tar. The ability to overcome this obstacle will be extremely benecial
to the advancement of this merger [1].
7. Poor bioprinting mechanism
Diverse sellers have created their apparatuses, but standardization is still
missing. So also, how do we guarantee that free powders will not come out and
go into the circulation system after permeable inserts are put within the body?
What are the warm medicines that are required for diverse 3D-printed gadgets?
In spite of the fact that comes about so distant are empowering, standardization
of numerous such operations will ease the administrative burden around the
world. Another range of critical signicance is combination plan? Utilizing the
3D-printing courses, can we create unused amalgams outlined for 3D-printing
forms? [68].
187

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8. Cell damage rate (high)
There are limited biomaterials available and they can create certain damage to
cells that they are around, there might be a possibility of no adhesion to cells
which are targeted potentially. Damage rate of using device might differ.
The larger part of tribological tests performed on natural tissues and cellular
monolayers within the writing have measured powers and decided grinding coefcients but have not completely examined the cellular reaction past a live/dead
test. Ponders have shown that as it were a number of Pascal’s of shear stretch are
adequate to inspire a natural reaction and actuate cellular apparatus [69].
9. The device user’s ability
The gadget user’s capacity to function as a therapeutic gadget depends by and
large on the individual characteristics of the client such as tactile capacities
(vision, hearing, cognitive capacities, material affectability), education and dialect aptitudes, by and large physical make-up (estimate, quality, adaptability, and
coordination), level of instruction, and the common knowledge of comparable
types of gadgets (eagerness to memorize and adjust to unused gadgets).
A. Kumar etal.
6.6 Future Scopes ofBiotribology intheField ofBiomedical
Devices, Targeting andTroubleshooting theChallenges
The integration of 3D and 4D printing technologies will facilitate the creation of
sophisticated biomedical devices, including biosensors, bionic ears and eyes, and
biorobots, which are expected to signicantly inuence the biomedical industry in
the future. By combining 3D and 4D printing techniques, advanced biomedical
devices that include biosensors and eyes, and biorobots that signicantly impact the
eld of biomedicine can be created. With the exception of MRI devices, laser games,
laser pointers, uid crystal displays (LCDs), mammography devices, the majority of
devices that produce radiation fall beyond the denition of a medical device [1]. The
most effective method currently known for replicating the greasy structure of synovial uid in microgels is for the production of synovial liquid, which is used in
biomimetic watery oil applications and joint pain medications. The ndings of this
creation technique could be useful for preliminary research on relevant issues related
to IC motor oils. Current gecko skin qualities allow for a variety of water- repellent,
self-cleaning, antimicrobial, and biocompatible coatings in both terrestrial and
marine environments. Therefore, it is reasonable to assume that this innovation will
eventually be commercially integrated into a variety of products [70–76].
There is enormous room for improvement in the replication of creepy crawly
silk, shark skin characteristics, and catsh skin body uid since these methods currently lack a thorough understanding of how they function organically and how to
make them for use in buildings. If skillfully executed, one of the most compelling
ideas for a self-healing surface inspired by pitcher plants ought to be the most compelling invention [77]. Quick cooling techniques that are typical of 3D printing were

6 Tribological Hurdles inBiomedical Manufacturing: AComprehensive Examination
189
maintained by avoiding creating exotic combinations like Ti6Al4V. Nevertheless,
even though the fabrication handle’s energy is remarkably unique, the same composition is used in 3D printing processes [78–81]. It is anticipated that leftover amalgam will be designed for forms based on 3D printing and used for biomedical
devices. Similar to metallic devices, bioprinted goods currently require administrative regulations because such forms are still developing [77]. HFE, often known as
usability building, is the process of applying human factors into the design of
devices or hardware so that users can easily, protably, and safely use it. HFE is
used not only in the design of the devices but also in the evaluation of therapeutic
devices through techniques that advance the evidence-based practice, which primarily increases quiet safety [82, 83]. The design of portable dialysis devices has been
aided by recent advancements in HFE applications. The most recent model of a
versatile dialysis device expands functionality, indicating that concerns about
human components (such as productivity, bulk, and weight) are now taken into consideration [1]. The biggest obstacle to the IoT role in healthcare is device interoperability, which can expose a system to additional risk and new security aws. An
increase in intellectual property (IP)-connected sensors in medical equipment and
patients allows for the elimination of unnecessary waste and perhaps saves lives. In
an era of constant advancement, IoT healthcare encounters difculties with data
collecting, quality assessment, translation, and harmonization resulting from vast
amounts of disparate IoT medical devices. Delivered to effectively address the intersection of these difculties is a component [1]. Before a device is implanted in the
body, it has been recommended that skin antiseptics be used often to reduce the risk
of infection. One such product is 2% chlorhexidine gluconate with 70% isopropyl
alcohol [1]. Some devices eventually need to be removed in order to reduce the
much increased risk of infection from bacteria that multiply and can quickly build a
biolm that can cause excruciating pain [14]. It is possible to improve and continually monitor glucose monitoring with the use of well-equipped biosensing equipment [84–93]. Research is still ongoing to determine whether tears, saliva, sweat,
mucus from the airways, or the interstitial uid of subcutaneous tissue may be used
as a straightforward and less invasive technique to regularly measure glucose levels.
The existing glucose monitoring devices measure the glucose levels in interstitial
uid in real time with minimal invasiveness; nevertheless, they do so by piercing the
skin [22].
A biosensor called salivary conductivity is used to detect chronic uropathy. Using
tiny coplanar biosensing probes, a system has been designed to monitor salivary
conductivity at a coffee volume (50μL). The early results of a recent study showed
that salivary conductivity was much higher in CKD patients. The ability to sense
selectively, quick analysis times, and inexpensive cost distinguish voltammetry sensors from the competitors [1]. The binder jetting technology has a lot of potential for
creating glass or ceramic scaffolds for small-scale bone lesions that are either
defect-specic or patient-matched. Binder jetting-based 3D printing, which may be
utilized commercially for the mass production of such devices, also makes it simple
to program controlled drug doses [77]. Non-invasive devices and methods have several benets for patients, including reduced risk of illness, damage, faster recovery,

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A. Kumar etal.
and cheaper costs associated with hospital stays and therapeutic drugs. A noninvasive device, like an electronic skin patch, can detect high levels of glucose in
perspiration [1, 91, 94–100]. In biotribology for biomedical device development,
optimized vacuum vessel designs with smart manufacturing systems (CNC) promise revolutionary manufacturing techniques, ensuring enhanced efciency, precision, and safety [105, 106]. An efcient HVAC and system is also crucial,
maintaining precise environmental conditions like temperature and humidity, ensuring reliable and high-quality manufacturing processes in the biomedical eld
[107–109].
Using softwares like Autodock, Discovery studio, Pyrx will help in recognizing
the material (protein or ligand) in silico. It also helps in estimatingthe interaction
that is taking place, such asbond types (Protein ligand interaction proler)and their
negative delta G prediction in nature(mimicking).Hence, minimizing uncertainty in
case of interactions. Bioinformatics can be one of the brightest scope, the methods
given below include the use of 2 software. Any Ligand(material) can be docked in
PyRx against any kind of natural body (Proteins, tissues). They can be docked again
in Autodock tool (ADK, universal tool for molecular docking and simulations).
Screenshots of all of the tools are given as below. This is how any ligand can be seen
with details in interaction to improve with the challenges of adhesion to protein, cell
attachment accuracy, and predication of natural mimicking biomedical system. In
order to conduct molecular docking, we need a 3D protein structure of species, tissues, RNA or DNA sequences which we can get from RCSB-PDB. PSCB-PDB
contains structure made up by computational process through NMR and X-RAY
Crystallography [101–104]. The second part we need is the polymer that we want to
use in production of biomedical devices, which is available in databases like
PubChem and chemical database ChEB or KEGG database [32–34, 37–40].
Use of these tools in biotribology can be implemented, we can fetch information’s regarding the biomaterial from these sources and use them further for specic
and accurate desires of the experiments. For example, we can dock silicon material
with retinal proteins to check biocompatibility and binding free energy between
them, making these tools helpful for further application and surety regarding human
health. Then the chips can be implanted in the human body (such as retinal prostheses, which can be implanted in the eye) (Fig.6.5).
The software shows maximus free energy generation between ten different possible interaction at tenbinding site of an enzyme, further in B it is conrmed that
which binding site (catalytic triad of enzyme) is binding PET with bond type by 3D
and 2D diagrams of the same interaction.
6.7 Summary andConclusion
This chapter talks about biological system, and how to dene them. For replacing or
counter t the organs and prosthetics, and making of biomaterials, there is a need of
very careful, preplanned, and intelligent systems that can mimic the nature enough

6 Tribological Hurdles inBiomedical Manufacturing: AComprehensive Examination
191
.pdb fomat was visualized
Results of affinity binding
values were obtained in
kcal/mol
Values less than -5.2(Chidi
Edbert Duru et al., 2021)
were chosen
Docking results were
confirmed by selecting
active sites in ADK tool
Fig. 6.5 Flow of analysis of results in ADK tool for prediction of free energy in nature between
two chemical structures
in Discovery studio
v21.1.0.20298 software
Best confirmations were
converted to .pdb extension
by Open Bable GUI
Ligands PET binding at 10
different sites of protein
was observed and best
confirmation was selected
Protein-Ligand interaction
were studied with details
and 2D diagrams
Additionally, it showed
aromatic nature, H-bond,
charge, hydrophobicity,
ionizability and solubility in
solvent of a structure
to t it in, indeed. It used different sciences in order to design the perfect t for the
target. A biomedical system works on a biomedical device that is precisely designed
by keeping all of the specics of targeted disease or condition in mind. Biotribology
plays an important role in shaping application and design of a biomedical device.
According to the FDA of the US, medical devices are any tool, machine, apparatus,
implant, and invitro reagent that is not a medicine used for human or animal diagnostic or therapeutic purposes. According to the WHO, medical devices are any
tool, machine, apparatus, appliance, or other item that the manufacturer has invented
to be used for particular medical purposes and whose main function is not accomplished by means of metabolic, immunological, or pharmacological means.
Biomedical devices are classied into 3 classes, class 1, class 2, and class 3.
Biomedical devices have 5 different types so far and they include different fabrication or manufacturing techniques for production of these devices. Production of
biomedical devices includes advanced technique developed by biocompatible lm
technology, cost-effective techniques for CKD biodevice, non-invasive glucose
monitoring devices technique, biosensing device techniques involving volumetric
glucose sensors, optical or spectroscopy techniques for other detection purposes,
cost-effective electrochemical voltametric sensors techniques, non-invasive glucose
monitoring devices technique, 3D printing techniques, UV-LED stereolithography
printer technique, 4D printing techniques, fabrication(techniques) of hollow selffolding 4D vascular tubes having shape memory by DIW printing techniques, technique for direct-write printing of a vascular 4D scaffold by SMPs: PLA ink and
SMNCs: Fe3O, advanced biomedical techniques involving biorobots. Biomedical
devices are usedin several biomedical systems involving, arthropathy, dermatology, buccal cavity, human and animal organ system, therapeutics (cancer and immunotherapy). This chapter analyses the current classications of medical devices,
including software and hardware, and their applications, based on FDA criteria.

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Challenges with making the biomedical devices are making the device nano, largescale production of the device, inconsistency of quality of the device, Use of chips
in human organs(brain), high-cost manufacturing, mechanical biocompatibility,
poor bioprinting mechanism, cell damage rate(high), The device user’s ability. In
order to reduce the likelihood of product recalls, use errors, and promote safe usage,
human factors engineering is crucial when developing biomedical devices. In terms
of future prospects, various challenges can be solved by using combination of 3D
and 4D printing techniques, biomedical gadgets which incorporate biosensors,
bionic ears/eyes, and biorobots, microgels, biomimetic watery oil applications,
gecko’s skin, creepy crawly silk, lotus leaf surface, shark skin properties, and catsh
skin bodily uid, they are highly advances application and still lacking in understanding of their organic working and strategy of manufacture. HFE, IoT in healthcare, voltametric sensors, binder jetting-based 3D printing also has contribution to
biomedical device’s future. Using software’s like Autodock, Discovery studio, and
Pyrx to recognize the material (protein or ligand) in silico, knowing the interaction
that is taking place, bond types (protein ligand interaction proler), their negative
delta G prediction in nature (mimicking), and minimizing uncertainty in case of
interactions can help achieving the desirable goals in the eld of biomedical devices.
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