<?xml version="1.0" encoding="utf-8"?>
<XML>
<ISCJOURNAL>
<YEAR>2022</YEAR>
<VOL>4</VOL>
<NO>10</NO>
<MOSALSAL>10</MOSALSAL>
<PAGE_NO>3</PAGE_NO>
<ARTICLES>

			<ARTICLE>
				<TitleF></TitleF>
				<TitleE>Nanobiosensors for early detection of neurodegenerative disease</TitleE>
				<TitleLang_ID>en</TitleLang_ID>
				<ABSTRACTS>
					<ABSTRACT>
						<Language_ID>en</Language_ID>
						<CONTENT>Early detection of neurodegeneration-related disorders that emerge as people age, is critical for both the disease's treatment and the patient's living conditions. Parkinson's and Alzheimer's illnesses are two well-known instances of neurodegeneration, which are characterized by nerve cell death and dementia. The fact is that some illnesses are only diagnosed clinically after symptoms develop hinders therapy. The biomarkers detection, which are unique chemicals found in bodily fluids and are implicated in neurodegenerative processes, may assist in the early detection of neurodegenerative illnesses. Recent years have seen a surge in interest in biosensor research, with the goal of detecting possible biomarkers of the neurodegenerative process with appropriate precision. Biosensors' main purpose is to identify a specific material with high specificity. This manuscript reviews neuro-biosensors for the prognosis of neurodegenerative illnesses like Parkinson's disease (PD) and Alzheimer's disease (AD), as well as a summary of the field's urgent needs, highlighting the critical importance of early detection along the neurodegeneration pathway in general. This study examines biosensor systems designed to identify biomarkers of neurodegenerative diseases (NDDs), with an emphasis on the last five years.</CONTENT>
					</ABSTRACT>
				</ABSTRACTS>
				<PAGES>
					<PAGE>
						<FPAGE>24</FPAGE>
						<TPAGE>36</TPAGE>
					</PAGE>
				</PAGES>
	
				<AUTHORS>
					<AUTHOR>
						<NameE>Paria</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Fazlali</FamilyE>
						<Organizations>
							<Organization>Department of Biomedical Engineering</Organization>
						</Organizations>
						<Universities>
							<University>Tehran University of Medical Sience</University>
						</Universities>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Aida</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Mahdian</FamilyE>
						<Organizations>
							<Organization>Faculty of Medicine</Organization>
						</Organizations>
						<Universities>
							<University>Kashan University of Medical Sciences</University>
						</Universities>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Mohammad Sina</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Soheilifar</FamilyE>
						<Organizations>
							<Organization>Department of Biomedical Engineering</Organization>
						</Organizations>
						<Universities>
							<University>University of Science and Arts</University>
						</Universities>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Seyed Mojtaba</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Amininasab</FamilyE>
						<Organizations>
							<Organization>Department of Chemistry</Organization>
						</Organizations>
						<Universities>
							<University>University of Kurdistan</University>
						</Universities>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Parisa</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Shafiee</FamilyE>
						<Organizations>
							<Organization>School of Chemical, Petroleum and Gas Engineering</Organization>
						</Organizations>
						<Universities>
							<University>Iran University of Science and Technology</University>
						</Universities>
						<Countries>
							<Country>Iran</Country>
						</Countries>
						<EMAILS>
							<Email>Parisashafiee603@gmail.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Irshad Ahmad</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>Wani</FamilyE>
						<Organizations>
							<Organization>Department of Chemistry</Organization>
						</Organizations>
						<Universities>
							<University>University of Jammu</University>
						</Universities>
						<Countries>
							<Country>India</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
					<AUTHOR>
						<NameE>Ali M.A. Abdul Amir</NameE>
						<MidNameE></MidNameE>		
						<FamilyE>AL-Mokaram</FamilyE>
						<Organizations>
							<Organization>Department of Chemistry</Organization>
						</Organizations>
						<Universities>
							<University>Mustansiriyah University</University>
						</Universities>
						<Countries>
							<Country>Iraq</Country>
						</Countries>
						<EMAILS>
							<Email>info@jourcc.com</Email>			
						</EMAILS>
					</AUTHOR>
				</AUTHORS>
				<KEYWORDS>
					<KEYWORD>
						<KeyText>Early diagnosis</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Neurodegenerative disease</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Nanobiosensors</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Optical biosensors</KeyText>
					</KEYWORD>
					<KEYWORD>
						<KeyText>Electrochemical biosensors</KeyText>
					</KEYWORD>
					</KEYWORDS>
				<PDFFileName>Article4.pdf</PDFFileName>
				<REFRENCES>
				<REFRENCE>
					<REF>[1] J.Q. Trojanowski, H. Hampel, Neurodegenerative disease biomarkers: guideposts for disease prevention through early diagnosis and intervention, Progress in neurobiology 95(4) (2011) 491. ## [2] S. Przedborski, M. Vila, V. Jackson-Lewis, Series Introduction: Neurodegeneration: What is it and where are we?, The Journal of clinical investigation 111(1) (2003) 3-10. ## [3] M.N.S. Karaboğa, M.K. Sezgintürk, Biosensor approaches on the diagnosis of neurodegenerative diseases: Sensing the past to the future, Journal of Pharmaceutical and Biomedical Analysis 209 (2022) 114479. ## [4] G. Guidoboni, R. Sacco, M. Szopos, L. Sala, A.C. Verticchio Vercellin, B. Siesky, A. Harris, Neurodegenerative disorders of the eye and of the brain: a perspective on their fluid-dynamical connections and the potential of mechanism-driven modeling, Frontiers in Neuroscience 14 (2020) 1173. ## [5] T.K. Khan, D.L. Alkon, Peripheral biomarkers of Alzheimer’s disease, Journal of Alzheimer’s disease 44(3) (2015) 729-744. ## [6] C.M. Abreu, R. Soares-dos-Reis, P.N. Melo, J.B. Relvas, J. Guimarães, M.J. Sá, A.P. Cruz, I. Mendes Pinto, Emerging biosensing technologies for neuroinflammatory and neurodegenerative disease diagnostics, Frontiers in Molecular Neuroscience 11 (2018) 164. ## [7] H.H. Nguyen, J. Park, S. Kang, M. Kim, Surface plasmon resonance: a versatile technique for biosensor applications, Sensors 15(5) (2015) 10481-10510. ## [8] A.P. Turner, Biosensors: sense and sensibility, Chemical Society Reviews 42(8) (2013) 3184-3196. ## [9] R. Abolhasan, A. Mehdizadeh, M.R. Rashidi, L. Aghebati-Maleki, M. Yousefi, Application of hairpin DNA-based biosensors with various signal amplification strategies in clinical diagnosis, Biosensors and Bioelectronics 129 (2019) 164-174. ## [10] P. Damborský, J. Švitel, J. Katrlík, Optical biosensors, Essays in biochemistry 60(1) (2016) 91-100. ## [11] L. Bazli, M. Siavashi, A. Shiravi, A review of carbon nanotube/TiO2 composite prepared via sol-gel method, Journal of Composites and Compounds 1(1) (2019) 1-9. ## [12] E. Asadi, A.F. Chimeh, S. Hosseini, S. Rahimi, B. Sarkhosh, L. Bazli, R. Bashiri, A.H.V. Tahmorsati, A review of clinical applications of graphene quantum dot-based composites, Journal of Composites and Compounds 1(1) (2019) 31-40. ## [13] S. Eskandarinezhad, R. Khosravi, M. Amarzadeh, P. Mondal, F.J.C. Magalhães Filho, Application of different Nanocatalysts in industrial effluent treatment: A review, Journal of Composites and Compounds 3(6) (2021) 43-56. ## [14] S. Mohammadi, Z. Mohammadi, Functionalized NiFe2O4/mesopore silica anchored to guanidine nanocomposite as a catalyst for synthesis of 4H-chromenes under ultrasonic irradiation, Journal of Composites and Compounds 3(7) (2021) 84-90. ## [15] H. Khalilpour, P. Shafiee, A. Darbandi, M. Yusuf, S. Mahmoudi, Z.M. Goudarzi, S. Mirzamohammadi, Application of Polyoxometalate-based composites for sensor systems: A review, Journal of Composites and Compounds 3(7) (2021) 129-139. ## [16] F. Sharifianjazi, A.H. Pakseresht, M.S. Asl, A. Esmaeilkhanian, H.W. Jang, M. Shokouhimehr, Hydroxyapatite consolidated by zirconia: applications for dental implant, Journal of Composites and Compounds 2(2) (2020) 26-34. ## [17] S. Askari, M. Ghashang, G. Sohrabi, Synthesis and mechanical properties of Bi2O3-Al4Bi2O9 nanopowders, Journal of Composites and Compounds 2(5) (2020) 171-174. ## [18] S. Saadi, B. Nazari, Recent developments and applications of nanocomposites in solar cells: a review, Journal of Composites and Compounds 1(1) (2019) 41-50. ## [19] M. Holzinger, A. Le Goff, S. Cosnier, Nanomaterials for biosensing applications: a review, Frontiers in chemistry 2 (2014) 63. ## [20] A. Aquino, C.A. Conte-Junior, A systematic review of food allergy: Nanobiosensor and food allergen detection, Biosensors 10(12) (2020) 194. ## [21] J.-H. Choi, T.-H. Kim, W.A. El-Said, J.-H. Lee, L. Yang, B. Conley, J.-W. Choi, K.-B. Lee, In situ detection of neurotransmitters from stem cell-derived neural interface at the single-cell level via graphene-hybrid SERS nanobiosensing, Nano letters 20(10) (2020) 7670-7679. ## [22] Y. Chang, Y. Chen, Y. Shao, B. Li, Y. Wu, W. Zhang, Y. Zhou, Z. Yu, L. Lu, X. Wang, Solid-phase microextraction integrated nanobiosensors for the serial detection of cytoplasmic dopamine in a single living cell, Biosensors and Bioelectronics 175 (2021) 112915. ## [23] C. Song, S. Que, L. Heimer, L. Que, On-chip detection of the biomarkers for neurodegenerative diseases: Technologies and prospects, Micromachines 11(7) (2020) 629. ## [24] G. Modi, V. Pillay, Y.E. Choonara, Advances in the treatment of neurodegenerative disorders employing nanotechnology, Annals of the New York Academy of Sciences 1184(1) (2010) 154-172. ## [25] A.D. Gitler, P. Dhillon, J. Shorter, Neurodegenerative disease: models, mechanisms, and a new hope, The Company of Biologists Ltd, 2017, pp. 499-502. ## [26] R. Poupot, D. Bergozza, S. Fruchon, Nanoparticle-based strategies to treat neuro-inflammation, Materials 11(2) (2018) 270. ## [27] N. Muthu Lakshmi, C. Poojitha, B. Swarajyalakshmi, Applications of nanotechnology in medical field, Int J Adv Sci Technol Eng Manage Sci 3(3) (2017) 5-11. ## [28] F. Re, M. Gregori, M. Masserini, Nanotechnology for neurodegenerative disorders, Maturitas 73(1) (2012) 45-51. ## [29] P. Boonruamkaew, P. Chonpathompikunlert, L.B. Vong, S. Sakaue, Y. Tomidokoro, K. Ishii, A. Tamaoka, Y. Nagasaki, Chronic treatment with a smart antioxidative nanoparticle for inhibition of amyloid plaque propagation in Tg2576 mouse model of Alzheimer’s disease, Scientific reports 7(1) (2017) 1-13. ## [30] J. Yu, Y.L. Lyubchenko, Early stages for Parkinson’s development: α-synuclein misfolding and aggregation, Journal of neuroimmune pharmacology 4(1) (2009) 10-16. ## [31] D. Lovisolo, M. Dionisi, F.A. Ruffinatti, C. Distasi, Nanoparticles and potential neurotoxicity: Focus on molecular mechanisms, AIMS Molecular Science 5(1) (2018) 1-13. ## [32] G. Tosi, M.A. Vandelli, F. Forni, B. Ruozi, Nanomedicine and neurodegenerative disorders: So close yet so far, Taylor and Francis, 2015, pp. 1041-1044. ## [33] S. Baratchi, R.K. Kanwar, K. Khoshmanesh, P. Vasu, C. Ashok, M. Hittu, A. Parratt, S. Krishnakumar, X. Sun, S.K. Sahoo, Promises of nanotechnology for drug delivery to brain in neurodegenerative diseases, Current Nanoscience 5(1) (2009) 15-25. ## [34] X. Dai, Y. Li, Y. Zhong, Recent developments of nanotechnology for Alzheimer’s disease diagnosis and therapy, Glob J Nanomed 4(4) (2018) 001-004. ## [35] M.A. Erickson, W.A. Banks, Blood–brain barrier dysfunction as a cause and consequence of Alzheimer’s disease, Journal of Cerebral Blood Flow and Metabolism 33(10) (2013) 1500-1513. ## [36] C.F. Adams, A.W. Dickson, J.-H. Kuiper, D.M. Chari, Nanoengineering neural stem cells on biomimetic substrates using magnetofection technology, Nanoscale 8(41) (2016) 17869-17880. ## [37] S. Sheikh, E. Haque, S.S. Mir, Neurodegenerative diseases: multifactorial conformational diseases and their therapeutic interventions, Journal of neurodegenerative diseases 2013 (2013) 563481. ## [38] C. Spuch, O. Saida, C. Navarro, Advances in the treatment of neurodegenerative disorders employing nanoparticles, Recent patents on drug delivery and formulation 6(1) (2012) 2-18. ## [39] D.B. Vieira, L.F. Gamarra, Multifunctional nanoparticles for successful targeted drug delivery across the blood-brain barrier, Molecular insight of drug design, IntechOpen (2018). ## [40] A. Serra, I. Letunic, V. Fortino, R.D. Handy, B. Fadeel, R. Tagliaferri, D. Greco, INSIdE NANO: a systems biology framework to contextualize the mechanism-of-action of engineered nanomaterials, Scientific reports 9(1) (2019) 1-10. ## [41] U. Sharma, P.N. Badyal, S. Gupta, Polymeric nanoparticles drug delivery to brain: A review, International Journal of Pharmacology 2(5) (2015) 60-69. ## [42] C. De la Torre, V. Ceña, The delivery challenge in neurodegenerative disorders: the nanoparticles role in Alzheimer’s disease therapeutics and diagnostics, Pharmaceutics 10(4) (2018) 190. ## [43] X. Niu, J. Chen, J. Gao, Nanocarriers as a powerful vehicle to overcome blood-brain barrier in treating neurodegenerative diseases: Focus on recent advances, Asian journal of pharmaceutical sciences 14(5) (2019) 480-496. ## [44] S.I. Hay, A.A. Abajobir, K.H. Abate, C. Abbafati, K.M. Abbas, F. Abd-Allah, R.S. Abdulkader, A.M. Abdulle, T.A. Abebo, S.F. Abera, Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016, The Lancet 390(10100) (2017) 1260-1344. ## [45] E. Barcia, L. Boeva, L. García-García, K. Slowing, A. Fernández-Carballido, Y. Casanova, S. Negro, Nanotechnology-based drug delivery of ropinirole for Parkinson’s disease, Drug delivery 24(1) (2017) 1112-1123. ## [46] R.R. Adhikary, P. Sandbhor, R. Banerjee, Nanotechnology platforms in Parkinson’s Disease, ADMET and DMPK 3(3) (2015) 155-181. ## [47] F. Sousa, S. Mandal, C. Garrovo, A. Astolfo, A. Bonifacio, D. Latawiec, R.H. Menk, F. Arfelli, S. Huewel, G. Legname, Functionalized gold nanoparticles: a detailed in vivo multimodal microscopic brain distribution study, Nanoscale 2(12) (2010) 2826-2834. ## [48] A.C. Kaushik, S. Bharadwaj, S. Kumar, D.-Q. Wei, Nano-particle mediated inhibition of Parkinson’s disease using computational biology approach, Scientific reports 8(1) (2018) 1-8. ## [49] C. Giordano, D. Albani, A. Gloria, M. Tunesi, S. Rodilossi, T. Russo, G. Forloni, L. Ambrosio, A. Cigada, Nanocomposites for neurodegenerative diseases: hydrogel-nanoparticle combinations for a challenging drug delivery, The International journal of artificial organs 34(12) (2011) 1115-1127. ## [50] A.L. Benabid, S. Chabardes, J. Mitrofanis, P. Pollak, Deep brain stimulation of the subthalamic nucleus for the treatment of Parkinson’s disease, The Lancet Neurology 8(1) (2009) 67-81. ## [51] I. Cacciatore, L. Baldassarre, E. Fornasari, A. Mollica, F. Pinnen, Recent advances in the treatment of neurodegenerative diseases based on GSH delivery systems, Oxidative medicine and cellular longevity 2012 (2012) 240146. ## [52] D. Carradori, J. Eyer, P. Saulnier, V. Préat, A. Des Rieux, The therapeutic contribution of nanomedicine to treat neurodegenerative diseases via neural stem cell differentiation, Biomaterials 123 (2017) 77-91. ## [53] E. Ansorena, E. Casales, A. Aranda, E. Tamayo, E. Garbayo, C. Smerdou, M.J. Blanco-Prieto, M.S. Aymerich, A simple and efficient method for the production of human glycosylated glial cell line-derived neurotrophic factor using a Semliki Forest virus expression system, International journal of pharmaceutics 440(1) (2013) 19-26. ## [54] M.C. Rodriguez-Oroz, M. Jahanshahi, P. Krack, I. Litvan, R. Macias, E. Bezard, J.A. Obeso, Initial clinical manifestations of Parkinson’s disease: features and pathophysiological mechanisms, The Lancet Neurology 8(12) (2009) 1128-1139. ## [55] M. Goedert, Alzheimer’s and Parkinson’s diseases: The prion concept in relation to assembled Aβ, tau, and α-synuclein, Science 349(6248) (2015) 1255555. ## [56] P. Shafiee, M.R. Nafchi, S. Eskandarinezhad, S. Mahmoudi, E. Ahmadi, Sol-gel zinc oxide nanoparticles: advances in synthesis and applications, Synthesis and Sintering 1(4) (2021) 242-254. ## [57] H. Adam, S.C. Gopinath, U. Hashim, Integration of Aluminium Interdigitated Electrodes with Zinc Oxide as Nanocomposite for Selectively Detect Alpha-Synuclein for Parkinson’s Disease Diagnosis, Journal of Physics: Conference Series, IOP Publishing, 2021, p. 012094. ## [58] Z. Aghili, N. Nasirizadeh, A. Divsalar, S. Shoeibi, P. Yaghmaei, A highly sensitive miR-195 nanobiosensor for early detection of Parkinson’s disease, Artificial Cells, Nanomedicine, and Biotechnology 46(sup1) (2018) 32-40 DOI: https://doi.org/10.1080/21691401.2017.1411930. ## [59] S.-Y. Yang, M.-J. Chiu, C.-H. Lin, H.-E. Horng, C.-C. Yang, J.-J. Chieh, H.-H. Chen, B.-H. Liu, Development of an ultra-high sensitive immunoassay with plasma biomarker for differentiating Parkinson disease dementia from Parkinson disease using antibody functionalized magnetic nanoparticles, Journal of nanobiotechnology 14(1) (2016) 1-8. ## [60] J. Kumar, H. Eraña, E. López-Martínez, N. Claes, V.F. Martín, D.M. Solís, S. Bals, A.L. Cortajarena, J. Castilla, L.M. Liz-Marzán, Detection of amyloid fibrils in Parkinson’s disease using plasmonic chirality, Proceedings of the National Academy of Sciences 115(13) (2018) 3225-3230. ## [61] J.A. Varela, J.S. Ferreira, J.P. Dupuis, P. Durand, D. Bouchet-Tessier, L. Groc, Single nanoparticle tracking of N-methyl-D-aspartate receptors in cultured and intact brain tissue, Neurophotonics 3(4) (2016) 041808. ## [62] P. Feng, Y. Chen, L. Zhang, C.-G. Qian, X. Xiao, X. Han, Q.-D. Shen, Near-infrared fluorescent Nanoprobes for revealing the role of dopamine in drug addiction, ACS applied materials and interfaces 10(5) (2018) 4359-4368. ## [63] C.-G. Qian, S. Zhu, P.-J. Feng, Y.-L. Chen, J.-C. Yu, X. Tang, Y. Liu, Q.-D. Shen, Conjugated polymer nanoparticles for fluorescence imaging and sensing of neurotransmitter dopamine in living cells and the brains of zebrafish larvae, ACS Applied Materials and Interfaces 7(33) (2015) 18581-18589. ## [64] G. Karthivashan, P. Ganesan, S.-Y. Park, J.-S. Kim, D.-K. Choi, Therapeutic strategies and nano-drug delivery applications in management of ageing Alzheimer’s disease, Drug delivery 25(1) (2018) 307-320. ## [65] D. Van Dam, P.P. De Deyn, Animal models in the drug discovery pipeline for Alzheimer’s disease, British journal of pharmacology 164(4) (2011) 1285-1300. ## [66] A. Nazem, G.A. Mansoori, Nanotechnology solutions for Alzheimer’s disease: advances in research tools, diagnostic methods and therapeutic agents, Journal of Alzheimer’s disease 13(2) (2008) 199-223. ## [67] M. Mehta, A. Adem, M. Sabbagh, New acetylcholinesterase inhibitors for Alzheimer’s disease, International Journal of Alzheimer’s disease 2012 (2012) 728983. ## [68] C. Saraiva, C. Praça, R. Ferreira, T. Santos, L. Ferreira, L. Bernardino, Nanoparticle-mediated brain drug delivery: overcoming blood–brain barrier to treat neurodegenerative diseases, Journal of controlled release 235 (2016) 34-47. ## [69] R. Alyautdin, I. Khalin, M.I. Nafeeza, M.H. Haron, D. Kuznetsov, Nanoscale drug delivery systems and the blood–brain barrier, International journal of nanomedicine 9 (2014) 795. ## [70] D. Brambilla, B. Le Droumaguet, J. Nicolas, S.H. Hashemi, L.-P. Wu, S.M. Moghimi, P. Couvreur, K. Andrieux, Nanotechnologies for Alzheimer’s disease: diagnosis, therapy, and safety issues, Nanomedicine: Nanotechnology, Biology and Medicine 7(5) (2011) 521-540. ## [71] H. Hippius, G. Neundörfer, The discovery of Alzheimer’s disease, Dialogues in clinical neuroscience 5(1) (2003) 101. ## [72] M. Masserini, Nanoparticles for brain drug delivery, International Scholarly Research Notices 2013 (2013) 238428. ## [73] J.-H. Kim, Y.-S. Kim, K. Park, S. Lee, H.Y. Nam, K.H. Min, H.G. Jo, J.H. Park, K. Choi, S.Y. Jeong, Antitumor efficacy of cisplatin-loaded glycol chitosan nanoparticles in tumor-bearing mice, Journal of Controlled Release 127(1) (2008) 41-49. ## [74] S.T. Rahaman, A Review on Treatment for Neurodegenerative disease with the help of Nanosciences, World Journal of Pharmaceutical Sciences  (2018) 153-162. ## [75] M.D. Kirkitadze, G. Bitan, D.B. Teplow, Paradigm shifts in Alzheimer’s disease and other neurodegenerative disorders: the emerging role of oligomeric assemblies, Journal of neuroscience research 69(5) (2002) 567-577. ## [76] P.V. Arriagada, J.H. Growdon, E.T. Hedley-Whyte, B.T. Hyman, Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer’s disease, Neurology 42(3) (1992) 631-631. ## [77] M. Ingelsson, H. Fukumoto, K. Newell, J. Growdon, E. Hedley–Whyte, M. Frosch, M. Albert, B. Hyman, M. Irizarry, Early Aβ accumulation and progressive synaptic loss, gliosis, and tangle formation in AD brain, Neurology 62(6) (2004) 925-931. ## [78] J. Qin, D.G. Jo, M. Cho, Y. Lee, Monitoring of early diagnosis of Alzheimer’s disease using the cellular prion protein and poly (pyrrole-2-carboxylic acid) modified electrode, Biosensors and Bioelectronics 113 (2018) 82-87. ## [79] M. Bilal, M. Barani, F. Sabir, A. Rahdar, G.Z. Kyzas, Nanomaterials for the treatment and diagnosis of Alzheimer’s disease: an overview, NanoImpact 20 (2020) 100251. ## [80] M.-S. Kang, T.-H. Lee, S.-M. Chang, H.-K. Shin, S.-W. Han, Detection of Amyloid β Using a Poly-L-Lysine Mediated Nanobiosensor, Journal of Nanoscience and Nanotechnology 19(8) (2019) 4791-4794. ## [81] M. Amini, M.M. Pedram, A. Moradi, M. Ochani, Plasmonics Optoelectronics Nanobiosensors for Detection of Alzheimer’s Disease Biomarker via Amyloid-Beta (Aβ) in Near-Infrared, Plasmonics  (2022) 1-11. ## [82] A. Neely, C. Perry, B. Varisli, A.K. Singh, T. Arbneshi, D. Senapati, J.R. Kalluri, P.C. Ray, Ultrasensitive and highly selective detection of Alzheimer’s disease biomarker using two-photon Rayleigh scattering properties of gold nanoparticle, ACS nano 3(9) (2009) 2834-2840. ## [83] K.M. Jaruszewski, G.L. Curran, S.K. Swaminathan, J.T. Rosenberg, S.C. Grant, S. Ramakrishnan, V.J. Lowe, J.F. Poduslo, K.K. Kandimalla, Multimodal Nanoprobes to target cerebrovascular amyloid in Alzheimer’s disease brain, Biomaterials 35(6) (2014) 1967-1976. ## [84] J.F. Poduslo, K.L. Hultman, G.L. Curran, G.M. Preboske, R. Chamberlain, M. Marjańska, M. Garwood, C.R. Jack Jr, T.M. Wengenack, Targeting vascular amyloid in arterioles of Alzheimer disease transgenic mice with amyloid β protein antibody-coated nanoparticles, Journal of Neuropathology and Experimental Neurology 70(8) (2011) 653-661. ## [85] S.H. Nasr, H. Kouyoumdjian, C. Mallett, S. Ramadan, D.C. Zhu, E.M. Shapiro, X. Huang, Detection of β‐Amyloid by Sialic Acid Coated Bovine Serum Albumin Magnetic Nanoparticles in a Mouse Model of Alzheimer’s Disease, Small 14(3) (2018) 1701828. ## [86] K.K. Cheng, P.S. Chan, S. Fan, S.M. Kwan, K.L. Yeung, Y.-X.J. Wang, A.H.L. Chow, E.X. Wu, L. Baum, Curcumin-conjugated magnetic nanoparticles for detecting amyloid plaques in Alzheimer’s disease mice using magnetic resonance imaging (MRI), Biomaterials 44 (2015) 155-172. ## [87] E.A. Tanifum, K. Ghaghada, C. Vollert, E. Head, J.L. Eriksen, A. Annapragada, A novel liposomal nanoparticle for the imaging of amyloid plaque by magnetic resonance imaging, Journal of Alzheimer’s Disease 52(2) (2016) 731-745. ## [88] Y.Z. Wadghiri, J. Li, J. Wang, D.M. Hoang, Y. Sun, H. Xu, W. Tsui, Y. Li, A. Boutajangout, A. Wang, Detection of amyloid plaques targeted by bifunctional USPIO in Alzheimer’s disease transgenic mice using magnetic resonance microimaging, PloS one 8(2) (2013) 57097. ## [89] E. Ansciaux, C. Burtea, S. Laurent, D. Crombez, D. Nonclercq, L. Vander Elst, R.N. Muller, In vitro and in vivo characterization of several functionalized ultrasmall particles of iron oxide, vectorized against amyloid plaques and potentially able to cross the blood–brain barrier: toward earlier diagnosis of Alzheimer’s disease by molecular imaging, Contrast Media and Molecular Imaging 10(3) (2015) 211-224. ## [90] T. Fernández, A. Martínez-Serrano, L. Cussó, M. Desco, M. Ramos-Gómez, Functionalization and characterization of magnetic nanoparticles for the detection of ferritin accumulation in Alzheimer’s disease, ACS chemical neuroscience 9(5) (2018) 912-924. ## [91] K.G. Petry, C. Boiziau, V. Dousset, B. Brochet, Magnetic resonance imaging of human brain macrophage infiltration, Neurotherapeutics 4(3) (2007) 434-442. ## [92] E.L. Blezer, L.H. Deddens, G. Kooij, J. Drexhage, S.M. van der Pol, A. Reijerkerk, R.M. Dijkhuizen, H.E. de Vries, In vivo MR imaging of intercellular adhesion molecule‐1 expression in an animal model of multiple sclerosis, Contrast media and molecular imaging 10(2) (2015) 111-121. ## [93] D.H. Silverman, A. Alavi, PET imaging in the assessment of normal and impaired cognitive function, Radiologic Clinics 43(1) (2005) 67-77. ## [94] S. Wearne, A. Rodriguez, D. Ehlenberger, A. Rocher, S. Henderson, P. Hof, New techniques for imaging, digitization and analysis of three-dimensional neural morphology on multiple scales, Neuroscience 136(3) (2005) 661-680. ## [95] C. Bocti, C. Rockel, P. Roy, F. Gao, S.E. Black, Topographical patterns of lobar atrophy in frontotemporal dementia and Alzheimer’s disease, Dementia and geriatric cognitive disorders 21(5-6) (2006) 364-372. ## [96] K.A. Tucker, K.R. Robertson, W. Lin, J.K. Smith, H. An, Y. Chen, S.R. Aylward, C.D. Hall, Neuroimaging in human immunodeficiency virus infection, Journal of neuroimmunology 157(1-2) (2004) 153-162. ## [97] G.A. Silva, Neuroscience nanotechnology: progress, opportunities and challenges, Nature reviews neuroscience 7(1) (2006) 65-74. ## [98] D.J. Burn, J.T. O’Brien, Use of functional imaging in Parkinsonism and dementia, Movement Disorders: Official Journal of the Movement Disorder Society 18(S6) (2003) 88-95. ## [99] F. Sharifianjazi, M. Moradi, N. Parvin, A. Nemati, A.J. Rad, N. Sheysi, A. Abouchenari, A. Mohammadi, S. Karbasi, Z. Ahmadi, Magnetic CoFe2O4 nanoparticles doped with metal ions: a review, Ceramics International 46(11) (2020) 18391-18412. ## [100] O. Binyamin, L. Larush, K. Frid, G. Keller, Y. Friedman-Levi, H. Ovadia, O. Abramsky, S. Magdassi, R. Gabizon, Treatment of a multiple sclerosis animal model by a novel nanodrop formulation of a natural antioxidant, International Journal of Nanomedicine 10 (2015) 7165. ## [101] A. Vikram Singh, T. Gharat, M. Batuwangala, B.W. Park, T. Endlein, M. Sitti, Three‐dimensional patterning in biomedicine: Importance and applications in neuropharmacology, Journal of Biomedical Materials Research Part B: Applied Biomaterials 106(3) (2018) 1369-1382. ## [102] P.M. Thompson, R.A. Dutton, K.M. Hayashi, A.W. Toga, O.L. Lopez, H.J. Aizenstein, J.T. Becker, Thinning of the cerebral cortex visualized in HIV/AIDS reflects CD4+ T lymphocyte decline, Proceedings of the National Academy of Sciences 102(43) (2005) 15647-15652. ## [103] Z.S. Khachaturian, Diagnosis of Alzheimer’s disease: two-decades of progress, Journal of Alzheimer’s disease 9(s3) (2006) 409-415. ## [104] Z. Walker, R.W. Walker, Imaging in neurodegenerative disorders: recent studies, Current Opinion in Psychiatry 18(6) (2005) 640-646. ## [105] C. Lucchinetti, W. Brück, J. Parisi, B. Scheithauer, M. Rodriguez, H. Lassmann, Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination, Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 47(6) (2000) 707-717. ## [106] F. Lolli, B. Mulinacci, A. Carotenuto, B. Bonetti, G. Sabatino, B. Mazzanti, A.M. D’Ursi, E. Novellino, M. Pazzagli, L. Lovato, An N-glucosylated peptide detecting disease-specific autoantibodies, biomarkers of multiple sclerosis, Proceedings of the National Academy of Sciences 102(29) (2005) 10273-10278. ## [107] F. Real-Fernández, I. Passalacqua, E. Peroni, M. Chelli, F. Lolli, A.M. Papini, P. Rovero, Glycopeptide-based antibody detection in multiple sclerosis by surface plasmon resonance, Sensors 12(5) (2012) 5596-5607. ## [108] S.A. Anderson, J. Shukaliak‐Quandt, E.K. Jordan, A.S. Arbab, R. Martin, H. McFarland, J.A. Frank, Magnetic resonance imaging of labeled T‐cells in a mouse model of multiple sclerosis, Annals of Neurology: Official Journal of the American Neurological Association and the Child Neurology Society 55(5) (2004) 654-659. ## [109] M.M. D’Elios, A. Aldinucci, R. Amoriello, M. Benagiano, E. Bonechi, P. Maggi, A. Flori, C. Ravagli, D. Saer, L. Cappiello, Myelin-specific T cells carry and release magnetite PGLA–PEG COOH nanoparticles in the mouse central nervous system, RSC advances 8(2) (2018) 904-913. ## [110] K. Kirschbaum, J.K. Sonner, M.W. Zeller, K. Deumelandt, J. Bode, R. Sharma, T. Krüwel, M. Fischer, A. Hoffmann, M.C. Da Silva, In vivo nanoparticle imaging of innate immune cells can serve as a marker of disease severity in a model of multiple sclerosis, Proceedings of the National Academy of Sciences 113(46) (2016) 13227-13232. ## [111] M.A. McAteer, N.R. Sibson, C. von Zur Muhlen, J.E. Schneider, A.S. Lowe, N. Warrick, K.M. Channon, D.C. Anthony, R.P. Choudhury, In vivo magnetic resonance imaging of acute brain inflammation using microparticles of iron oxide, Nature medicine 13(10) (2007) 1253-1258. ## [112] G. Wang, S. Rayner, R. Chung, B. Shi, X. Liang, Advances in nanotechnology-based strategies for the treatments of amyotrophic lateral sclerosis, Materials Today Bio 6 (2020) 100055. ## [113] J.-P. Julien, ALS: astrocytes move in as deadly neighbors, Nature neuroscience 10(5) (2007) 535-537. ## [114] M.E. Wilson, I. Boumaza, D. Lacomis, R. Bowser, Cystatin C: a candidate biomarker for amyotrophic lateral sclerosis, PloS one 5(12) (2010) e15133. ## [115] G. Pasinetti, L. Ungar, D. Lange, S. Yemul, H. Deng, X. Yuan, R. Brown, M. Cudkowicz, K. Newhall, E. Peskind, Identification of potential CSF biomarkers in ALS, Neurology 66(8) (2006) 1218-1222. ## [116] R. Mitchell, W. Freeman, W. Randazzo, H. Stephens, J. Beard, Z. Simmons, J. Connor, A CSF biomarker panel for identification of patients with amyotrophic lateral sclerosis, Neurology 72(1) (2009) 14-19. ## [117] E. Bezard, C.E. Gross, Compensatory mechanisms in experimental and human parkinsonism: towards a dynamic approach, Progress in neurobiology 55(2) (1998) 93-116. ## [118] J. Blesa, I. Trigo-Damas, M. Dileone, N.L.-G. Del Rey, L.F. Hernandez, J.A. Obeso, Compensatory mechanisms in Parkinson’s disease: circuits adaptations and role in disease modification, Experimental neurology 298(Pt B) (2017) 148-161. ## [119] M. Golpich, E. Amini, Z. Mohamed, R. Azman Ali, N. Mohamed Ibrahim, A. Ahmadiani, Mitochondrial dysfunction and biogenesis in neurodegenerative diseases: pathogenesis and treatment, CNS neuroscience and therapeutics 23(1) (2017) 5-22. ## [120] D.B. Miller, J.P. O’Callaghan, Biomarkers of Parkinson’s disease: present and future, Metabolism 64(3) (2015) S40-S46. ## [121] R.S. Akhtar, M.B. Stern, New concepts in the early and preclinical detection of Parkinson’s disease: therapeutic implications, Expert review of neurotherapeutics 12(12) (2012) 1429-1438. ## [122] R.B. Postuma, D. Berg, Advances in markers of prodromal Parkinson disease, Nature Reviews Neurology 12(11) (2016) 622-634. ## [123] J.D. Elsworth, Parkinson’s disease treatment: Past, present, and future, Journal of neural transmission 127(5) (2020) 785-791. ## [124] K. Jamebozorgi, E. Taghizadeh, D. Rostami, H. Pormasoumi, G.E. Barreto, S.M.G. Hayat, A. Sahebkar, Cellular and molecular aspects of Parkinson treatment: future therapeutic perspectives, Molecular Neurobiology 56(7) (2019) 4799-4811. ## [125] S.H. Mehta, C.H. Adler, Advances in biomarker research in Parkinson’s disease, Current neurology and neuroscience reports 16(1) (2016) 1-8. ## [126] R.A. Sperling, P.S. Aisen, L.A. Beckett, D.A. Bennett, S. Craft, A.M. Fagan, C. Phelps, Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease, Alzheimers Dement 7(3) (2011) 280-292. ## [127] T. Li, W. Le, Biomarkers for Parkinson’s disease: how good are they?, Neuroscience bulletin 36(2) (2020) 183-194. ## [128] R.G. Kerry, K.E. Ukhurebor, S. Kumari, G.K. Maurya, S. Patra, B. Panigrahi, S. Majhi, J.R. Rout, M. del Pilar Rodriguez-Torres, G. Das, A comprehensive review on the applications of nano-biosensor-based approaches for non-communicable and communicable disease detection, Biomaterials Science 9(10) (2021) 3576-3602. ## [129] K.E. Ukhurebor, R.B. Onyancha, U.O. Aigbe, G. Uk-Eghonghon, R.G. Kerry, H.S. Kusuma, H. Darmokoesoemo, O.A. Osibote, V.A. Balogun, A Methodical Review on the Applications and Potentialities of Using Nanobiosensors for Disease Diagnosis, BioMed Research International 2022 (2022) 1682502. ## [130] A. Shokati, A.N. Moghadasi, M. Nikbakht, M.A. Sahraian, S.A. Mousavi, J. Ai, A focus on allogeneic mesenchymal stromal cells as a versatile therapeutic tool for treating multiple sclerosis, Stem Cell Research and Therapy 12(1) (2021) 1-13. ## [131] S. Singh, D.S. Dhanjal, S. Thotapalli, V. Kumar, S. Datta, V. Kumar, M. Kumar, J. Singh, An insight in bacteriophage based biosensors with focus on their detection methods and recent advancements, Environmental Technology and Innovation 20 (2020) 101081. ## [132] A.L. Morais, P. Rijo, M.B. Batanero Hernan, M. Nicolai, Biomolecules and electrochemical tools in chronic non-communicable disease surveillance: a systematic review, Biosensors 10(9) (2020) 121. ## [133] J. Yoon, M. Shin, T. Lee, J.-W. Choi, Highly sensitive biosensors based on biomolecules and functional nanomaterials depending on the types of nanomaterials: A perspective review, Materials 13(2) (2020) 299. ## [134] P. Mohankumar, J. Ajayan, T. Mohanraj, R. Yasodharan, Recent developments in biosensors for healthcare and biomedical applications: A review, Measurement 167 (2021) 108293. ## [135] D. Rodrigues, A.I. Barbosa, R. Rebelo, I.K. Kwon, R.L. Reis, V.M. Correlo, Skin-integrated wearable systems and implantable biosensors: a comprehensive review, Biosensors 10(7) (2020) 79. ## [136] A.C. Carpenter, I.T. Paulsen, T.C. Williams, Blueprints for biosensors: design, limitations, and applications, Genes 9(8) (2018) 375. ## [137] T. Kouh, M.S. Hanay, K.L. Ekinci, Nanomechanical motion transducers for miniaturized mechanical systems, Micromachines 8(4) (2017) 108. ## [138] W.A. El-Said, M. Abdelshakour, J.-H. Choi, J.-W. Choi, Application of conducting polymer nanostructures to electrochemical biosensors, Molecules 25(2) (2020) 307. ## [139] J.R. De Corcuera, R. Cavalieri, J. Powers, Prototype instruments for laboratory and on-line measurement of lipoxygenase activity, Food science and technology international 9(1) (2003) 5-9. ## [140] K.E. Ukhurebor, The role of biosensor in climate smart organic agriculture towards agricultural and environmental sustainability, Agrometeorology, IntechOpen (2020). ## [141] S. Singh, V. Kumar, D.S. Dhanjal, S. Datta, R. Prasad, J. Singh, Biological biosensors for monitoring and diagnosis, Microbial biotechnology: basic research and applications, Springer (2020), pp. 317-335. ## [142] M. Borj, S. Taghizadehborojeni, A. Shokati, N. Sanikhani, H. Pourghadamyari, A. Mohammadi, E. Abbariki, T. Golmohammadi, S.M. Hoseiniharouni, Urinary tract infection among diabetic patients with regard to the risk factors, causative organisms and their antimicrobial susceptibility profiles at Firoozgar Hospital, Tehran, Iran, International Journal of Life Science and Pharma Research 7(3) (2017) L38-L47. ## [143] M. Khan, M. Hasan, S. Hossain, M. Ahommed, M. Daizy, Ultrasensitive detection of pathogenic viruses with electrochemical biosensor: State of the art, Biosensors and Bioelectronics 166 (2020) 112431. ## [144] M. Majdinasab, R.K. Mishra, X. Tang, J.L. Marty, Detection of antibiotics in food: New achievements in the development of biosensors, TrAC Trends in Analytical Chemistry 127 (2020) 115883. ## [145] K. Sode, T. Yamazaki, I. Lee, T. Hanashi, W. Tsugawa, BioCapacitor: A novel principle for biosensors, Biosensors and Bioelectronics 76 (2016) 20-28. ## [146] Q. Zhou, D. Tang, Recent advances in photoelectrochemical biosensors for analysis of mycotoxins in food, TrAC Trends in Analytical Chemistry 124 (2020) 115814. ## [147] A. Jeromin, R. Bowser, Biomarkers in neurodegenerative diseases, Neurodegenerative Diseases 15 (2017) 491-528. ## [148] A. Siderowf, M. McDermott, K. Kieburtz, K. Blindauer, S. Plumb, I. Shoulson, P.S. Group, Test–retest reliability of the unified Parkinson’s disease rating scale in patients with early Parkinson’s disease: results from a multicenter clinical trial, Movement disorders 17(4) (2002) 758-763. ## [149] L.S. Rosenthal, D. Drake, R.N. Alcalay, D. Babcock, F.D. Bowman, A. Chen‐Plotkin, T.M. Dawson, R.B. Dewey Jr, D.C. German, X. Huang, The NINDS Parkinson’s disease biomarkers program, Movement Disorders 31(6) (2016) 915-923. ## [150] T.M. Sim, D. Tarini, S.T. Dheen, B.H. Bay, D.K. Srinivasan, Nanoparticle-based technology approaches to the management of neurological disorders, International Journal of Molecular Sciences 21(17) (2020) 6070. ## [151] J.-W. Shin, J. Yoon, M. Shin, J.-W. Choi, Electrochemical dopamine biosensor composed of silver encapsulated MoS2 hybrid nanoparticle, Biotechnology and bioprocess engineering 24(1) (2019) 135-144. ## [152] A. Vázquez-Guardado, S. Barkam, M. Peppler, A. Biswas, W. Dennis, S. Das, S. Seal, D. Chanda, Enzyme-free plasmonic biosensor for direct detection of neurotransmitter dopamine from whole blood, Nano letters 19(1) (2018) 449-454. ## [153] B. Shao, Z. Xiao, Recent achievements in exosomal biomarkers detection by nanomaterials-based optical biosensors-a review, Analytica chimica acta 1114 (2020) 74-84. ## [154] S.M. Shawky, A.M. Awad, A.A. Abugable, S.F. El-Khamisy, Gold nanoparticles–an optical biosensor for RNA quantification for cancer and neurologic disorders diagnosis, International journal of nanomedicine 13 (2018) 8137. ## [155] A.J. Haes, L. Chang, W.L. Klein, R.P. Van Duyne, Detection of a biomarker for Alzheimer’s disease from synthetic and clinical samples using a nanoscale optical biosensor, Journal of the American Chemical Society 127(7) (2005) 2264-2271. ## [156] S. Viswanathan, H. Radecka, J. Radecki, Electrochemical biosensors for food analysis, Monatshefte für Chemie-Chemical Monthly 140(8) (2009) 891-899. ## [157] H. Liu, X. Zhang, J. Wei, X. Wu, D. Qi, Y. Liu, M. Dai, T. Yu, J. Deng, An amperometric Meldola Blue-mediated sensor high sensitive to hydrogen peroxide based on immobilization of horseradish peroxidase in a composite membrane of regenerated silk fibroin and poly (vinyl alcohol), Analytica chimica acta 329(1-2) (1996) 97-103. ## [158] Z. Tavakolian-Ardakani, O. Hosu, C. Cristea, M. Mazloum-Ardakani, G. Marrazza, Latest trends in electrochemical sensors for neurotransmitters: A review, Sensors 19(9) (2019) 2037. ## [159] L.C. Clark Jr, C. Lyons, Electrode systems for continuous monitoring in cardiovascular surgery, Annals of the New York Academy of sciences 102(1) (1962) 29-45. ## [160] M. Campàs, B. Prieto-Simón, J.-L. Marty, A review of the use of genetically engineered enzymes in electrochemical biosensors, Seminars in cell and developmental biology, Elsevier, (2009), pp. 3-9. ## [161] M. Adeel, M.M. Rahman, I. Caligiuri, V. Canzonieri, F. Rizzolio, S. Daniele, Recent advances of electrochemical and optical enzyme-free glucose sensors operating at physiological conditions, Biosensors and Bioelectronics 165 (2020) 112331. ## [162] A. Shadlaghani, M. Farzaneh, D. Kinser, R.C. Reid, Direct electrochemical detection of glutamate, acetylcholine, choline, and adenosine using non-enzymatic electrodes, Sensors 19(3) (2019) 447. ## [163] K. Shi, K. Hu, S. Wang, C.-Y. Lau, K.-K. Shiu, Structural studies of electrochemically activated glassy carbon electrode: Effects of chloride anion on the redox responses of copper deposition, Electrochimica acta 52(19) (2007) 5907-5913. ## [164] B. Khalilzadeh, M. Rashidi, A. Soleimanian, H. Tajalli, G.S. Kanberoglu, B. Baradaran, M.-R. Rashidi, Development of a reliable microRNA based electrochemical genosensor for monitoring of miR-146a, as key regulatory agent of neurodegenerative disease, International journal of biological macromolecules 134 (2019) 695-703. ## [165] M. Rai, A. Yadav, A.P. Ingle, A. Reshetilov, M.J. Blanco-Prieto, C.M. Feitosa, Neurodegenerative diseases: the real problem and nanobiotechnological solutions, Nanobiotechnology in neurodegenerative diseases, Springer (2019), pp. 1-17. ## [166] Y. Chen, Y. Zhou, H. Yin, Recent advances in biosensor for histone acetyltransferase detection, Biosensors and Bioelectronics 175 (2021) 112880. ## [167] Q. Zhang, Y. Wu, Q. Xu, F. Ma, C.-y. Zhang, Recent advances in biosensors for in vitro detection and in vivo imaging of DNA methylation, Biosensors and Bioelectronics 171 (2021) 112712. ## [168] J. Dronina, U.S. Bubniene, A. Ramanavicius, The application of DNA polymerases and Cas9 as representative of DNA-modifying enzymes group in DNA sensor design, Biosensors and Bioelectronics 175 (2021) 112867. ## [169] R. Zhu, T. Avsievich, A. Popov, A. Bykov, I. Meglinski, In vivo nano-biosensing element of red blood cell-mediated delivery, Biosensors and Bioelectronics 175 (2021) 112845. ## [170] Y. Duo, Z. Xie, L. Wang, N.M. Abbasi, T. Yang, Z. Li, G. Hu, H. Zhang, Borophene-based biomedical applications: Status and future challenges, Coordination Chemistry Reviews 427 (2021) 213549. ## [171] F. Khoshmanesh, P. Thurgood, E. Pirogova, S. Nahavandi, S. Baratchi, Wearable sensors: At the frontier of personalised health monitoring, smart prosthetics and assistive technologies, Biosensors and Bioelectronics 176 (2021) 112946. ## [172] S. Noorzadeh, F.S. Moghanlou, M. Vajdi, M. Ataei, Thermal conductivity, viscosity and heat transfer process in nanofluids: A critical review, Journal of Composites and Compounds 2(5) (2020) 175-192. ## [173] F. Fathi, M.-R. Rashidi, P.S. Pakchin, S. Ahmadi-Kandjani, A. Nikniazi, Photonic crystal based biosensors: Emerging inverse opals for biomarker detection, Talanta 221 (2021) 121615. ## [174] M.A. Farzin, H. Abdoos, A critical review on quantum dots: From synthesis toward applications in electrochemical biosensors for determination of disease-related biomolecules, Talanta 224 (2021) 121828. ## [175] M.M. Mitchler, J.M. Garcia, N.E. Montero, G.J. Williams, Transcription factor-based biosensors: a molecular-guided approach for natural product engineering, Current opinion in biotechnology 69 (2021) 172-181. ## [176] K. Sosnowski, P. Akarapipad, J.Y. Yoon, The future of microbiome analysis: Biosensor methods for big data collection and clinical diagnostics, Medical Devices and Sensors 3(5) (2020) e10085. ## [177] A. Tittl, A. John‐Herpin, A. Leitis, E.R. Arvelo, H. Altug, Metasurface‐based molecular biosensing aided by artificial intelligence, Angewandte Chemie International Edition 58(42) (2019) 14810-14822. ## [178] E. Adi, A. Anwar, Z. Baig, S. Zeadally, Machine learning and data analytics for the IoT, Neural computing and applications 32(20) (2020) 16205-16233. ## [179] M.H. Miraz, M. Ali, P.S. Excell, R. Picking, Internet of nano-things, things and everything: future growth trends, Future Internet 10(8) (2018) 68. ## [180] R. Somasundaram, M. Thirugnanam, Review of security challenges in healthcare internet of things, Wireless Networks 27(8) (2021) 5503-5509. ## [181] T.C. Chang, C. Seufert, O. Eminaga, E. Shkolyar, J.C. Hu, J.C. Liao, Current trends in artificial intelligence application for endourology and robotic surgery, Urologic Clinics 48(1) (2021) 151-160. ## [182] R. Antiochia, Nanobiosensors as new diagnostic tools for SARS, MERS and COVID-19: from past to perspectives, Microchimica Acta 187(12) (2020) 1-13. ## [183] R. Vashistha, A.K. Dangi, A. Kumar, D. Chhabra, P. Shukla, Futuristic biosensors for cardiac health care: an artificial intelligence approach, 3 Biotech 8(8) (2018) 1-11. ## [184] S. Vigneshvar, C. Sudhakumari, B. Senthilkumaran, H. Prakash, Recent advances in biosensor technology for potential applications–an overview, Frontiers in bioengineering and biotechnology 4 (2016) 11. ## [185] P. Mehrotra, Biosensors and their applications–A review, Journal of oral biology and craniofacial research 6(2) (2016) 153-159.</REF>
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