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.

      Profil Sebaran Panas Silinder Stainless Steel Berlapis Grafena Oksida untuk Peluang Pendeteksian Spike Glycoprotein

      Thumbnail
      View/Open
      Cover (334.9Kb)
      Fullteks (1.422Mb)
      Lampiran (291.8Kb)
      Date
      2021
      Author
      Kusuma, Ruby Teja
      Sumaryada, R Tony Ibnu
      Maddu, Akhiruddin
      Metadata
      Show full item record
      Abstract
      Usaha awal menggunakan model termal dikembangkan untuk dapat mendeteksi keberadaan SARS-CoV-2 di lingkungan dengan memodelkan sistem yang terdiri atas ikatan antara spike glycoprotein (salah satu komponen SARSCoV-2) dan grafena oksida. Metode yang digunakan adalah metode numerik eksplisit finite difference untuk mengukur sebaran panas 1-dimensi pada sistem silinder, sebelum dan sesudah berikatan dengan spike glycoprotein. Beberapa asumsi digunakan, salah satunya spike glycoprotein disini digantikan oleh lapisan protein karena belum adanya pengukuran properti termal dari spike glycoprotein. Hasilnya adalah ditemukan perubahan distribusi temperatur sebagai manifestasi akibat digunakannya energi untuk mengikat spike glycoprotein oleh grafena oksida. Selisih energi tersebut selanjutnya dapat digunakan untuk menghitung jumlah SARS-CoV-2 yang berikatan dengan sistem silinder. Hasilnya untuk penurunan laju energi sebesar 0,011 J/s pada sistem, spike glycoprotein yang terjerap sebanyak 4,03×10^10 molekul.
       
      Early effort using thermal model is developed to detect SARS-CoV-2 in our environment by modeling system that comprised of binding between spike glycoprotein (one of the component of SARS-CoV-2) and graphene oxide. The method used is the numeric explicit finite difference to see 1-dimensional heat profile distribution on the cylindrical system, before and after it binds with spike glycoprotein. A few assumption is made here, one of them is spike glycoprotein in here is substituted with protein layer since there are no thermal property measurement of spike glycoprotein yet. The result is that the change of temperature distribution is found as manifestation of the energy used to bind spike glycoprotein by graphene oxide. The deficit of energy is thus used to count the number of SARSCoV-2 that binds with cylindrical system. The result is for the decreasing rate of energy of the system of 0.011 J/s, there are 4.03×10^10 spike glycoprotein has been trapped.
       
      URI
      http://repository.ipb.ac.id/handle/123456789/107307
      Collections
      • UT - Physics [1236]

      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