Preparation and characterisation of a sensing system for wireless pH measurements in vivo, in a rumen of a cowShow others and affiliations
2017 (English)In: Sensors and actuators. B, Chemical, ISSN 0925-4005, E-ISSN 1873-3077, Vol. 242, p. 637-644Article in journal (Refereed) Published
Abstract [en]
We describe a sensing system that is able to measure pH in-vivo, in the rumen of a cow, in real time. The sensing principle is based on gravimetric transduction using a magnetoelastic ribbon functionalized by pH-sensitive nanobeads that is placed in the rumen where it is actuated and read-out wirelessly. We describe a generic procedure that enables one to deposit monolayers or multilayers of nano- and micro beads onto virtually any substrate. The topography of the resulting layers as well as interlayer coverages were characterised using optical microscopy and scanning profilometry. First we determined performance of the system in-vitro, in phosphate-buffered saline, in McDougall's buffer and in a rumen fluid. Thereafter we also performed in-vivo measurements. Using buffers we determined pH response in the liquids both at the fundamental frequency of the functionalised foils, and at the 1st overtone. We argue that observed frequency changes vs pH are mainly due to changes of trapped liquid when the bead layers shrink or expand as a response to changed pH. The data obtained from the pH response of magnetoelastic foils at different bead coverages was modelled by a simple two-parameter model that corroborates this assumption.
Place, publisher, year, edition, pages
2017. Vol. 242, p. 637-644
Keywords [en]
Layer-by-layer deposition, Magnetoelastic resonance, Mussel adhesive protein, Nanoparticle multilayers, pH sensitive polymer, Rumen pH, Deposition, Multilayers, Potentiometric sensors, Layer by layer deposition, Magneto-elastic, Mussel adhesive proteins, Ph sensitive polymers, pH sensors
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-29324DOI: 10.1016/j.snb.2016.11.089Scopus ID: 2-s2.0-84998829105OAI: oai:DiVA.org:ri-29324DiVA, id: diva2:1095106
2017-05-122017-05-122023-05-16Bibliographically approved