View Item 
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Physics
      • View Item
      •   IPB Repository
      • Dissertations and Theses
      • Undergraduate Theses
      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Physics
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Simulasi Model Biosensor Berbasis Satu Enzim dengan Pengaruh Bilangan Damköhler

      Thumbnail
      View/Open
      Cover (850.9Kb)
      Fulltext (1.265Mb)
      Lampiran (178.5Kb)
      Date
      2024
      Author
      Amin, M. Syahrul
      Kartono, Agus
      Rustami, Erus
      Metadata
      Show full item record
      Abstract
      Model matematika biosensor berbasis satu enzim dengan faktor bilangan Damköhler menggambarkan rasio antara laju difusi dan reaksi biosensor. Model ini melibatkan dua persamaan difusi dan reaksi waktu dengan mekanisme laju reaksi Michaelis-Menten. Persamaan diferensial parsial diubah menjadi bentuk tak berdimensi dengan parameter baru, dan diselesaikan menggunakan metode numerik beda hingga secara eksplisit, diprogram dengan Octave/Matlab. Hasil perhitungan numerik menunjukkan kekekalan massa antara substrat dan produk, membuktikan validitas solusi numerik model ini. Solusi numerik menggambarkan konsentrasi substrat dan produk dalam lapisan enzimatik serta respons arus biosensor. Perubahan parameter dapat mempengaruhi laju difusi dan reaksi. Model ini diharapkan dapat dikembangkan lebih lanjut untuk jenis enzim dan analit tertentu, serta nilai parameter divalidasi dengan data eksperimen untuk mengoptimalkan model biosensor.
       
      The mathematical model of a single-enzyme-based biosensor with the Damköhler number factor describes the ratio between diffusion rate and reaction rate in the biosensor. This model involves two time-dependent diffusion and reaction equations with the Michaelis-Menten reaction rate mechanism. The partial differential equations are transformed into a dimensionless form with new parameters and solved using the explicit finite difference numerical method, programmed in Octave/Matlab. The numerical results show mass conservation between substrate and product, validating the numerical solution of this model. The numerical solution depicts the concentration of substrate and product within the enzymatic layer and the current response generated by the biosensor. Changes in parameters can affect the diffusion and reaction rates. This model is expected to be further developed for specific types of enzymes and analytes, with parameter values validated against experimental data to optimize the biosensor model.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/155224
      Collections
      • UT - Physics [1230]

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository
        

       

      Browse

      All of IPB RepositoryCollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

      My Account

      Login

      Application

      google store

      Copyright © 2020 Library of IPB University
      All rights reserved
      Contact Us | Send Feedback
      Indonesia DSpace Group 
      IPB University Scientific Repository
      UIN Syarif Hidayatullah Institutional Repository
      Universitas Jember Digital Repository