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EuroBioSAS_NANOIOBIP_Insect Odorant-Binding Proteins on Biosensor to Diagnose Crop Disease

EuroBioSAS_NANOIOBIP_Insect Odorant-Binding Proteins on Biosensor to Diagnose Crop Disease

Wolfgang Knoll (ORCID: 0000-0003-1543-4090)
  • Grant DOI 10.55776/I681
  • Funding program Principal Investigator Projects International
  • Status ended
  • Start April 11, 2011
  • End October 10, 2015
  • Funding amount € 280,161

Disciplines

Electrical Engineering, Electronics, Information Engineering (20%); Industrial Biotechnology (10%); Medical-Theoretical Sciences, Pharmacy (10%); Nanotechnology (60%)

Keywords

    Crop Disease, Biosensor, Odorant Binding Proteins, Insects, Plant Pathogen

Abstract Final report

The area of plant-insect interaction and detection of plant diseases has been rather descriptive, and perhaps less inclined to use bioanalytical research tools. More specifically, even as biosensors found a wide use and acceptance as reliable measuring tools, their application in the above-mentioned areas seems to lag behind the mainstream, as objectively evidenced by the available publications. This CRP aims at developing a nano-biosensor system to diagnose crop disease. This consists of either an array of insect Odorant-Binding Proteins (OBPs) or, alternatively, Pheromone Binding Proteins (PBP) -modified Conductive Polymer (CP) nanofibers placed on Inter-Digitated microelectrodes Array (IDA) of a Liquid Ion-Gate Field Effect Transistor (LIGFET) or of an array for organic field-effect transistors (OFET) with a protective coating deposited by plasma polymerization allowing, e.g., for antibody titration. Specific binding of odor molecules to OBPs or pheromones to PBPs will generate conformational changes that will affect the source-drain current of the transistors. This combined to the CP`s inherent charge transport properties yield a direct and label-free readout. At the conclusion of this CRP, our best nano-biosensor system prototype is expected to achieve LoDs down to very few femtoMolar (10-14 M) or better, for low-cost, reliable operation. This makes it by far the best usable bio-tool designed to date for crop disease diagnosis. Furthermore, this outcome has a strong potential for applications in other fields, such as detecting odor molecules in conjunction with applications in healthcare or defense. Some of the specific goals of this CRP include: Determine selectivity/specificity of insect olfactory cells toward odor molecule using whole insect antennae- based microbiosensor (ABB), a well characterized system. Insect olfactory cells are compartmentalized in cuticular structures, the sensillas, on the antennae`s surface. Micro-fabricate several prototypes of IDA LIGFET and OFETs as microelectronic readout devices. Synthesize CP nanofibers and semiconducting nanowires using template method, deposit nanofibers attached onto IDA LIGFET. Functionalize nanostructures with OBPs/PBPs, resulting in a nanobiosensor, assemble these in array. Test nano-biosensor systems with odorants as analytes, compare with ABB.

For the sensing of light, e.g., in optical communication, we have extremely powerful devices with the ability to detect even single photons. The monitoring of sound in acoustic communication is also technically no problem: microphones are available with amazing performance parameters. Only for chemical communication, for smell or taste detection on a technical level we have (nearly) nothing. Despite the fact that the monitoring of chemicals in chemotaxis, i.e., in the search for food of many organisms or the exchange of chemicals between species as a way to communicate with each other is the oldest of our sensory repertoire, we have essentially no technical device that offers the sensitivity and the bandwidth needed to sense and to differentiate many different odors. There are many needs for air analysis and the detection of smells, e.g., in food quality control, health diagnostics, crop disease detection, indoor air management, military and security applications and so on. However, earlier attempts to fill this gap by artificial noses failed (with the only notable exception being the alcohol breath analyzer used by police) mostly because of lack of sufficient sensitivity. What was developed in this project is a bio-mimetic approach, a bio-electronic nose. We merged the world of ultrasensitive microelectronic devices like transistors as the transducer platform and coupled it with the living world of bio-functional (building blocks/) modules as a way to synergize the sensitivity and selectivity of certain protein structures - here in our case odorant binding proteins - towards recognizing and binding their ligands, the odorants we want to smell, with the versatility of microelectronics: we now can begin to smell electronically. We demonstrated this by fabricating a field-effect transistor with reduced graphene oxide as the gate material which we functionalized by the covalent attachment of Odorant Binding Proteins (OBPS) from various species, mostly from the honey bee Apis mellifera. This biosensor, when mounted to a flow cell and exposed to aqueous solutions of a variety of odorants, all more or less relevant of the behaviour of bees, generated a quantitative signal form the transistor, a change in its source-drain current at a constant gate voltage, that we could analyse quantitatively in terms of a Langmuir binding model. Thus we could discriminate between strongly and weakly binding odorants and could compare the results with physiological measurements of the binding of odorants by the antenna of the honey bee.

Research institution(s)
  • Austrian Institute of Technology - AIT - 100%
International project participants
  • Matti Houtari, University of Oulu - Finland
  • Stefan Schütz, Georg-August-Universität Göttingen - Germany
  • Ionut Enculescu, Insitutul National de Fizica Materialelor - Romania
  • Patrick Guerin, Université de Neuchâtel - Switzerland

Research Output

  • 321 Citations
  • 8 Publications
Publications
  • 2014
    Title Insights into structural features determining odorant affinities to honey bee odorant binding protein 14
    DOI 10.1016/j.bbrc.2014.03.054
    Type Journal Article
    Author Schwaighofer A
    Journal Biochemical and Biophysical Research Communications
    Pages 1042-1046
    Link Publication
  • 2016
    Title Electronic Biosensing with Functionalized rGO FETs
    DOI 10.3390/bios6020017
    Type Journal Article
    Author Reiner-Rozman C
    Journal Biosensors
    Pages 17
    Link Publication
  • 2021
    Title Comparing Surface Plasmon-Optical and Electronic Immuno-Sensing of Affinity Interactions—A Case Study
    DOI 10.3390/chemosensors9010011
    Type Journal Article
    Author Knoll W
    Journal Chemosensors
    Pages 11
    Link Publication
  • 2013
    Title The extended growth of graphene oxide flakes using ethanol CVD
    DOI 10.1039/c3nr33704a
    Type Journal Article
    Author Huang J
    Journal Nanoscale
    Pages 2945-2951
    Link Publication
  • 2012
    Title An improved synthesis route to graphene for molecular sensor applications
    DOI 10.1016/j.matchemphys.2012.08.003
    Type Journal Article
    Author Larisika M
    Journal Materials Chemistry and Physics
    Pages 304-308
    Link Publication
  • 2015
    Title Graphene-based liquid-gated field effect transistor for biosensing: Theory and experiments
    DOI 10.1016/j.bios.2015.03.013
    Type Journal Article
    Author Reiner-Rozman C
    Journal Biosensors and Bioelectronics
    Pages 21-27
    Link Publication
  • 2015
    Title Electronic Olfactory Sensor Based on A. mellifera Odorant-Binding Protein 14 on a Reduced Graphene Oxide Field-Effect Transistor
    DOI 10.1002/anie.201505712
    Type Journal Article
    Author Larisika M
    Journal Angewandte Chemie International Edition
    Pages 13245-13248
    Link Publication
  • 2013
    Title Honey bee odorant-binding protein 14: effects on thermal stability upon odorant binding revealed by FT-IR spectroscopy and CD measurements
    DOI 10.1007/s00249-013-0939-4
    Type Journal Article
    Author Schwaighofer A
    Journal European Biophysics Journal
    Pages 105-112
    Link Publication

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