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In-Silico Prediction on the MSAMS-Assisted Immobilization of Bovine Serum Albumin on 10MHz Piezoelectric Immunosensors

Kaory Barrientos Urdinola,Paula Andrea Marín Muñoz,Pedronel Araque Marín,Marisol Jaramillo Grajales

Published 2019 in Journal of Molecular and Engineering Materials

ABSTRACT

The biological sensing interface on the active area of a piezo transducer is responsible for the sensitivity, specificity, reusability, and reproducibility of these devices. Among the approaches used to functionalize piezo transducers, mixed self-assembled monolayers (MSAMs) are one of the most successful, given that they allow the obtaining of semi-crystalline molecular arrays and the arrangement of a bioreceptor on the surface. But, to deploy MSAMs on a substrate effectively, one must optimize and characterize the structural ratio between them and the bioreceptor. In this paper, we developed a molecular model of the interaction between Bovine Serum Albumin (BSA) and MSAMs-functionalized gold substrates. First, we evaluated the conditions for the functionalization of the substrates and found that a 50:1 16-mercaptohexadecaonic acid (MHDA) to 11 mercapto-1-undecanol (MUA) ratio produced the best features on the surface. We also evaluated the specific conditions to immobilize BSA on MSAMs (using the afore-established ratio) via Atomic Force Microscopy (AFM), and then on a 10[Formula: see text]MHz quartz crystal microbalance (QCM), and with the data obtained we concluded that a structural ratio of 0.005 (MSAM/BSA) is obtained when 1[Formula: see text][Formula: see text]M MHDA and 200[Formula: see text][Formula: see text]g/mL BSA were used, provided the most suitable conditions for the functionalization of a piezo transducer.

PUBLICATION RECORD

  • Publication year

    2019

  • Venue

    Journal of Molecular and Engineering Materials

  • Publication date

    2019-09-23

  • Fields of study

    Biology, Materials Science, Chemistry, Engineering

  • Identifiers
    DOI 10.1142/S2251237319500011
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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