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Nanotechnology Application in Neural Growth Support System
Abstract
With its ability to transfer electric impulses, make contact with neurons, and mimic the environment of neurons, carbon nanotubes have been intriguing candidates for the development of scaffolding that could promote neuronal growth and division. In order to encourage the growth and development of human brain cells, the researchers developed biodegradable composite scaffolding comprised of interconnected carbon nanotubes dispersed in the poly-L-lactic acid substrate. To imitate the guiding inputs of the neuronal environment, the researchers additionally produced peptides derived from the L1 and LINGO1 enzymes. Such peptides could have a significant effect on neural conversion, which would be boosted synergistically by the combination of proteins and nanocomposite scaffolding, suggesting the presence of long neuronal growth factor implantation. Due to its biological properties and its utility in brain tissue, the researchers selected PLLA as polymer matrices. The researchers chose NTCs from among the many available NTCs as of their high conductivity & form that mimics nanoscale aspects of a extracellular environment. Excellent work just published suggests that CNTs have a positive effect on neuron development and development. Furthermore, the limitations of these technologies have become obvious. Although TNCs rendered motionless on microscope slides help relieve some of these problems, it is not a good technique for stem cell therapy because collectivists are not implanted. Nanocomposite CNT-PLLA scaffolding, on the other hand, provide the necessary mechanical functionality for internal fixation. In addition, the low percentage of pure NTC in scaffolding reduces both expense and cytotoxicity caused by the remaining contaminants. Our CNT- PLLA scaffolds exhibit synergistic effects in promoting neuronal stem cell differentiation when paired with the peptide, making it a great starting point for building implanted scaffolding for human neural development.
Keywords
References
Kumar R, Aadil KR, Ranjan S, Kumar VB. Advances in nanotechnology and nanomaterials based strategies for neural tissue engineering. Journal of Drug Delivery Science and Technology. 2020 Jun 1; 57: 101617.
Ojha S, Kumar B. A review on nanotechnology based innovations in diagnosis and treatment of multiple sclerosis. Journal of Cellular Immunotherapy. 2018 Dec 1; 4 (2): 56–64.
Smith ES, Porterfield JE, Kannan RM. Leveraging the interplay of nanotechnology and neuroscience: Designing new avenues for treating central nervous system disorders. Advanced drug delivery reviews. 2019 Aug 1; 148: 181–203.
Abdollahiyan P, Oroojalian F, Mokhtarzadeh A. The triad of nanotechnology, cell signalling, and scaffold implantation for the successful repair of damaged organs: An overview on soft-tissue engineering. Journal of controlled release. 2021 Apr 10; 332: 460–92.
Chen S, Li R, Li X, Xie J. Electrospinning: An enabling nanotechnology platform for drug delivery and regenerative medicine. Advanced drug delivery reviews. 2018 Jul 1; 132: 188–213.
Wang GY, Rayner SL, Chung R, Shi BY, Liang XJ. Advances in nanotechnology-based strategies for the treatments of amyotrophic lateral sclerosis. Materials Today Bio. 2020 Mar 1; 6: 100055.
Zottel A, Videtič Paska A, Jovčevska I. Nanotechnology meets oncology: nanomaterials in brain cancer research, diagnosis and therapy. Materials. 2019 May 15; 12 (10): 1588.
Zheng M, Tao W, Zou Y, Farokhzad OC, Shi B. Nanotechnology-based strategies for siRNA brain delivery for disease therapy. Trends in biotechnology. 2018 May 1; 36 (5): 562–75.
Dong Y, Wu X, Chen X, Zhou P, Xu F, Liang W. Nanotechnology shaping stem cell therapy:Recent advances, application, challenges, and future outlook. Biomedicine & Pharmacotherapy.2021 May 1; 137: 111236.
Agrawal M, Saraf S, Saraf S, Antimisiaris SG, Hamano N, Li SD, Chougule M, Shoyele SA,Gupta U, Ajazuddin, Alexander A. Recent advancements in the field of nanotechnology for the delivery of anti-Alzheimer drug in the brain region. Expert opinion on drug delivery. 2018 Jun 3;15 (6): 589–617.
Hsu JF, Chu SM, Liao CC, Wang CJ, Wang YS, Lai MY, Wang HC, Huang HR, Tsai MH.Nanotechnology and nanocarrier-based drug delivery as the potential therapeutic strategy for glioblastoma multiforme: an update. Cancers. 2021 Jan 7; 13 (2): 195.
Yang Y, Chawla A, Zhang J, Esa A, Jang HL, Khademhosseini A. Applications of nanotechnology for regenerative medicine; healing tissues at the nanoscale. InPrinciples of regenerative medicine 2019 Jan 1 (pp. 485-504). Academic Press.
Naqvi, S., Panghal, A., Flora, S.J.S. (2020). Nanotechnology: a promising approach for delivery of neuroprotective drugs. Frontiers in neuroscience, 14, 494.
Teleanu, D. M., Chircov, C., Grumezescu, A. M., Volceanov, A., Teleanu, R. I. (2018). Blood-brain delivery methods using nanotechnology. Pharmaceutics, 10 (4), 269.
Kwon, S., Yoo, K.H., Sym, S.J., Khang, D. (2019). Mesenchymal stem cell therapy assisted by nanotechnology: a possible combinational treatment for a brain tumor and central nerve regeneration. International journal of nanomedicine, 14, 5925.
Saeedi, M., Eslamifar, M., Khezri, K., Dizaj, S.M. (2019). Applications of nanotechnology in drug delivery to the central nervous system. Biomedicine & pharmacotherapy, 111, 666–675.
Miss. A. J. Dixit, et al, “Iris Recognition by Daugman’s Method”, International Journal of Latest Technology in Engineering, Management & Applied Science, July 2015, Vol 4, Issue 6, pp 90–93.
Wale Anjali D., Rokade Dipali, et al, “Smart Agriculture System using IoT”, International Journal of Innovative Research In Technology, 2019, Vol 5, Issue 10, pp.493–497.
Ms. Machha Babitha, C Sushma, et al, “Trends of Artificial Intelligence for online exams in education”, International journal of Early Childhood special Education, 2022, Vol 14, Issue 01, pp. 2457–2463.
Pankaj R Hotkar, Vishal Kulkarni, et al, “Implementation of Low Power and area efficient carry select Adder”,International Journal of Research in Engineering, Science and Management, 2019,Vol 2, Issue 4, pp. 183-184.
Karale Nikita, Jadhav Supriya, et al, “Design of Vehicle system using CAN Protocol”,International Journal of Research in Applied science and Engineering Technology, 2020, Vol 8, issue V, pp. 1978–1983, http://doi.org/10.22214/ijraset.2020.5321.
Dr. J. Sirisha Devi, Mr. B. Sreedhar, et al, “A path towards child-centric Artificial Intelligence based Education”, International journal of Early Childhood special Education, 2022, Vol 14, Issue 03, pp. 9915–9922.
Kutubuddin Kazi, “Lassar Methodology for Network Intrusion Detection”, Scholarly Research Journal for Humanity science and English Language, 2017, Vol 4, Issue 24, pp.6853–6861.
Mr. D. Sreenivasulu, Dr. J. Sirishadevi, et al, “Implementation of Latest machine learning approaches for students Grade Prediction”, International journal of Early Childhood special Education, June 2022, Vol 14, Issue 03, pp. 9887–9894.
Prof. Kazi K. S., Miss Argonda U, A,, “ Review paper for design and simulation of a Patch antenna by using HFSS”, International Journal of Trends in Scientific Research and Development, Jan-Feb 2018, Vol 2, issue-2, pp. 158–160.
Ms. Yogita Shirdale, et al, “Analysis and design of Capacitive coupled wideband Microstrip antenna in C and X band: A Survey”, Journal GSD-International society for green, Sustainable Engineering and Management, Nov 2014, Vol 1, issue 15, pp. 1–7.
Ms. Yogita Shirdale, et al., “Coplanar capacitive coupled probe fed micro strip antenna for C and X band”, International Journal of Advanced Research in Computer and Communication Engineering, 2016, Vol 5, Issue 4, pp. 661–663.
Prof. Suryawanshi Rupali V., et al, “Situation Invariant face recognition using Neural Network”, International Journal of Trends in Scientific research and Development (IJTSRD), May-June 2018, Vol 2, issue-4, pp. 995–998.
Ms. Shweta Nagare, et al., “An Efficient Algorithm brain tumor detection based on Segmentation and Thresholding ”, Journal of Management in Manufacturing and services, Sept 2015, Vol 2, issue 17, pp.19–27.
Miss. A. J. Dixit, et al, “Iris Recognition by Daugman’s Algorithm – an Efficient Approach”, Journal of applied Research and Social Sciences, July 2015, Vol 2, issue 14, pp. 1–4.
Miss. A. J. Dixit, et al, “A Review paper on Iris Recognition”, Journal GSD International society for green, Sustainable Engineering and Management, Nov 2014, Vol 1, issue 14, pp. 71–81.
Rahul S. Pole, Amar Deshmukh, Makarand Jadhav, et al, “ iButton Based Physical access Authorization and security system”, Journal of Algebraic Statistics, 2022, Vol 13, issue 3, pp.3822–3829.
Waghmare Maithili, et al, “Smart watch system”, International journal of information Technology and computer engineering (IJITC), 2022, Vol 2, issue 6, pp. 1–9.
Divya Swami, et al, “Sending notification to someone missing you through smart watch”,International journal of information Technology and computer engineering (IJITC), 2022, Vol 2,issue 8, pp. 19–24
Miss. Priyanka M Tadlgi, et al, “Depression Detection”, Journal of Mental Health Issues and Behavior (JHMIB), 2022, Vol 2, Issue 6, pp. 1–7
Madhupriya Sagar Kamuni, et al, “Fruit Quality Detection using Thermometer”, Journal of Image Processing and Intelligent remote sensing, 2022, Vol 2, issue 5.
Shweta Kumtole, et al, “ Automatic wall painting robot Automatic wall painting robot”, Journal of Image Processing and Intelligent remote sensing, 2022, Vol 2, issue 6
Dr. Kazi Kutubuddin Sayyad Liyakat, et al, “Voltage Sag mitigation in DVR based on Ultra capacitor”, Lambart Publications. 2022, ISBN – 978-93-91265-41-0
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