A Novel Approach for the Optimal Design of a Biosensor

References

• Ahmar, H., H. Tabani, M. H. Koruni, S. S. H. Davarani, and A. R. Fakhari. 2014. A new platform for sensing urinary morphine based on carrier assisted electromembrane extraction followed by adsorptive stripping voltammetric detection on screen-printed electrode. Biosensors and Bioelectronics 54:189–94. doi:10.1016/j.bios.2013.10.035.
   PubMed Web of Science ®Google Scholar
• Akçair, M., M. Savran, L. Aydın, O. Ayakdaş, S. Öztürk, and N. Küçükdoğan. 2019. Optimum design of anti-buckling behaviour of graphite/epoxy laminated composites by differential evolution and simulated annealing method. Research on Engineering Structures and Materials 5:175–88.
   Google Scholar
• Armas, M. A., R. María-Hormigos, A. Cantalapiedra, M. J. Gismera, M. T. Sevilla, and J. R. Procopio. 2016. Multiparametric optimization of a new high-sensitive and disposablemercury (II) electrochemical sensor. Analytica Chimica Acta 904:76–82. doi:10.1016/j.aca.2015.11.016.
   PubMed Web of Science ®Google Scholar
• Asal, M., Ö. Özen, M. Şahinler, H. T. Baysal, and İ. Polatoğlu. 2019. An overview of biomolecules, immobilization methods and support materials of biosensor. Sensor Review 39 (3):377–86. doi:10.1108/SR-04-2018-0084.
   Web of Science ®Google Scholar
• Aydin, L., and H. S. Artem. 2011. Comparison of stochastic search optimization algorithms for the laminated composites under mechanical and hygrothermal loadings. Journal of Reinforced Plastics and Composites 30 (14):1197–212. doi:10.1177/0731684411415138.
   Web of Science ®Google Scholar
• Baronas, R. 2017. Nonlinear effects of diffusion limitations on the response and sensitivity of amperometric biosensors. Electrochimica Acta 240:399–407. doi:10.1016/j.electacta.2017.04.075.
   Web of Science ®Google Scholar
• Bezerra, M. A., R. E. Santelli, E. P. Oliveira, L. S. Villar, and L. A. Escaleira. 2008. Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 76 (5):965–77. doi:10.1016/j.talanta.2008.05.019.
   PubMed Web of Science ®Google Scholar
• Bollella, P., and L. Gorton. 2018. Enzyme based amperometric biosensors. Current Opinion in Electrochemistry 10:157–73. doi:10.1016/j.coelec.2018.06.003.
   Web of Science ®Google Scholar
• Castillo, J., S. Gáspár, S. Leth, M. Niculescu, A. Mortari, I. Bontidean, V. Soukharev, S. A. Dorneanu, A. D. Ryabov, and E. Csöregi. 2004. Biosensors for life quality: Design, development and applications. Sensors and Actuators B: Chemical 102 (2):179–94. doi:10.1016/j.snb.2004.04.084.
   Web of Science ®Google Scholar
• De Benedetto, G., S. Di Masi, A. Pennetta, and C. Malitesta. 2019. Response Surface Methodology for the Optimization of Electrochemical Biosensors for Heavy Metals Detection. Biosensors 9 (1):26. doi:10.3390/bios9010026.
   Google Scholar
• Elamvazuthi, I., N. Duy, Z. Ali, S. Su, M. A. Khan, and S. Parasuraman. 2015. Electromyography (EMG) based Classification of Neuromuscular Disorders using Multi-Layer Perceptron. Procedia Computer Science 76:223–8. doi:10.1016/j.procs.2015.12.346.
   Google Scholar
• Gaudin, V. 2017. Advances in biosensor development for the screening of antibiotic residues in food products of animal origin: A comprehensive review. Biosensors and Bioelectronics 90:363–77. doi:10.1016/j.bios.2016.12.005.
   PubMed Web of Science ®Google Scholar
• Lin, C., and S. Chen. 2019. Design of highly sensitive guided-wave surface plasmon resonance biosensor with deep dip using genetic algorithm. Optics Communications 445:155–60. doi:10.1016/j.optcom.2019.04.035.
   Web of Science ®Google Scholar
• López, M. S., G. F. Cabanillas, M.J. Castañón, and B. López-Ruiz. 2014. Development of a genosensor for peanut allergen ARA h 2 detection and its optimization by surface response methodology. Biosensors and Bioelectronics 62:350–6. doi:10.1016/j.bios.2014.06.065.
   PubMed Web of Science ®Google Scholar
• Maleki, N., S. Kashanian, E. Maleki, and M. Nazari. 2017. A novel enzyme based biosensor for catechol detection in water samples using artificial neural network. Biochemical Engineering Journal 128:1–11. doi:10.1016/j.bej.2017.09.005.
   Web of Science ®Google Scholar
• Mehrotra, P. 2016. Biosensors and their applications: A review. Journal of Oral Biology and Craniofacial Research 6 (2):153–9. doi:10.1016/j.jobcr.2015.12.002.
   PubMedGoogle Scholar
• Mohamad, N.R., N. H. C. Marzuki, N. A. Buang, F. Huyop, and R. A. Wahab. 2015. An overview of technologies for immobilization of enzymes and surface analysis techniques for immobilized enzymes. Biotechnology & Biotechnological Equipment 29 (2):205–20. doi:10.1080/13102818.2015.1008192.
   PubMed Web of Science ®Google Scholar
• Narang, J., and C. S. Pundir, eds. 2017. Biosensors an introductory textbook. New York: Taylor and Francis.
   Google Scholar
• Nezhadali, A., and M. Mojarrab. 2016. Computational design and multivariate optimization of an electrochemical metoprolol sensor based on molecular imprinting in combination with carbon nanotubes. Analytica Chimica Acta 924:86–98. doi:10.1016/j.aca.2016.04.017.
   PubMed Web of Science ®Google Scholar
• Nezhadali, A., and S. Sadeghzadeh. 2017. Experimental design-artificial neural network-genetic algorithm optimization and computer-assisted design of celecoxib molecularly imprinted polymer/carbon nanotube sensor. Journal of Electroanalytical Chemistry 795:32–40. doi:10.1016/j.jelechem.2017.04.032.
   Web of Science ®Google Scholar
• Ozturk, S., L. Aydin, and E. Celik. 2018. A comprehensive study on slicing processes optimization of silicon ingot for photovoltaic applications. Solar Energy 161:109–24. doi:10.1016/j.solener.2017.12.040.
   Web of Science ®Google Scholar
• Özsoy, V.S., and H. H. Örkçü. 2016. Estimating the Parameters of Nonlinear Regression Models Through Particle Swarm Optimization. Gazi University Journal of Science 29:187–99.
   Web of Science ®Google Scholar
• Pappu, S. M. J., and S. N. Gummadi. 2017. Artificial neural network and regression coupled genetic algorithm to optimize parameters for enhanced xylitol production by Debaryomyces nepalensis in bioreactor. Biochemical Engineering Journal 120:136–45. doi:10.1016/j.bej.2017.01.010.
   Web of Science ®Google Scholar
• Prieto-Simon, B., M. Campas, and J. L. Marty. 2008. Biomolecule Immobilization in Biosensor Development: Tailored Strategies Based on Affinity Interactions. Protein & Peptide Letters 15 (8):757–63. doi:10.2174/092986608785203791.
   PubMed Web of Science ®Google Scholar
• Qu, J., T. Lou, Y. Wang, Y. Dong, and H. Xing. 2015. Determination of Catechol by a Novel Laccase Biosensor Based on Zinc-oxide Sol-gel. Analytical Letters 48 (12):1842–53. doi:10.1080/00032719.2014.1003427.
   Web of Science ®Google Scholar
• Rinken, T. ed. 2015. Biosensor-micro and nanoscale applications. London, UK: InTech.
   Google Scholar
• Rodriguez-Mozaz, S., M. J. Lopez de Alda, and D. Barceló. 2006. Biosensors as useful tools for environmental analysis and monitoring. Analytical and Bioanalytical Chemistry 386 (4):1025–41. doi:10.1007/s00216-006-0574-3.
   PubMed Web of Science ®Google Scholar
• Savran, M., and L. Aydin. 2018. Stochastic optimization of graphite-flax/epoxy hybrid laminated composite for maximum fundamental frequency and minimum cost. Engineering Structures 174:675–87. doi:10.1016/j.engstruct.2018.07.043.
   Web of Science ®Google Scholar
• Savran, M., and L. Aydin. 2019. Optimum design of hybrid graphite-flax/epoxy laminated composites for minimum cost, minimum weight and maximum frequency using modified simulated annealing method. Dokuz Eylül University Faculty of Engineering Journal of Science and Engineering 21:833–44.
   Google Scholar
• Savran, M., L. Aydin, O. Ayakdaş, N. Küçükdoğan, and S. Öztürk. 2018. Design and analysis of interply hybrid laminated composite for maximum natural frequency and minumum cost using random search algorithm and finite element method. In 4th International Symposium on Composite Materials KOMPEGE Proceedings Book, Izmir, Turkey, Sept 6–8.
   Google Scholar
• Shukla, A., R. K. Gundampati, and M. V. Jagannadham. 2017. Immobilization of Euphorbia tirucalli peroxidase onto chitosan-cobaltoxide magnetic nanoparticles and optimization using responsesurface methodology. International Journal of Biological Macromolecules 102:384–95. doi:10.1016/j.ijbiomac.2017.03.153.
   PubMed Web of Science ®Google Scholar
• Shruthi, G., C. V. Amitha, and B. B. Mathew. 2014. Biosensors: A modern day achievement. Journal of Instrumentation Technology 2:26–39.
   Google Scholar
• Silva, L. M. C., V. P. S. Santos, A. M. Salgado, and K. S. Pereira. 2013. Biosensors for contaminants monitoring in food and environment for human and environmental health. In State of the art in biosensors-general aspects, ed. T. Rinken, 151–68. Rijeka, Croatia: IntechOpen.
   Google Scholar
• Sun, Y., H. Cai, X. Wang, and S. Zhan. 2019. Optimization methodology for structural multiparameter surface plasmon resonance sensors in different modulation modes based on particle swarm optimization. Optics Communications 431:142–50. doi:10.1016/j.optcom.2018.09.027.
   Web of Science ®Google Scholar
• Zhang, X., Z. Wang, H. Xie, R. Sun, T. Cao, N. Paudyal, W. Fang, and H. Song. 2018. Development of a magnetic nanoparticles-based screen-printed electrodes (MNPs-SPEs) biosensor for the quantification of ochratoxin A in cereal and feed samples. Toxins 10 (8):317. doi:10.3390/toxins10080317.
   PubMed Web of Science ®Google Scholar