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Chemosensors 2016, 4(3), 19; doi:10.3390/chemosensors4030019

Fungi Active Microbial Metabolism Detection of Rhizopus sp. and Aspergillus sp. Section Nigri on Strawberry Using a Set of Chemical Sensors Based on Carbon Nanostructures

1
Departamento de Física, Universidade Federal do Paraná, Caixa Postal 19044, 81531-980 Curitiba, Brazil
2
DST-NRF Centre of Excellence in Strong Materials and Molecular Sciences Institute, School of Chemistry, University of the Witwatersrand, PO Wits, 2050 Johannesburg, South Africa
3
Departamento de Patologia Básica, Laboratório de Microbiologia e Biologia Molecular-LabMicro, Universidade Federal do Paraná, 81531-980 Curitiba, Brazil
*
Author to whom correspondence should be addressed.
Academic Editor: Igor Medintz
Received: 20 April 2016 / Revised: 22 August 2016 / Accepted: 6 September 2016 / Published: 14 September 2016
View Full-Text   |   Download PDF [2053 KB, uploaded 14 September 2016]   |  

Abstract

We use a set of three resistive sensors based on undoped multi-walled carbon nanotubes, B-doped multi-walled carbon nanotubes, and N-doped multi-walled carbon nanotubes to study fungal infection in strawberries inoculated with Rhizopus sp. or with Aspergillus sp. section Nigri. We apply tristimulus analysis using the conductance variation of the sensors when exposed to the infected strawberries to distinguish between uninfected strawberries and strawberries infected with Rhizopus sp. or with Aspergillus sp. section Nigri, and to obtain a graphical representation providing a tool for the simple and fast detection and identification of the fungal infection. View Full-Text
Keywords: Rhizopus; Aspergillus; fungi microbial metabolism; sensors; carbon nanostructures Rhizopus; Aspergillus; fungi microbial metabolism; sensors; carbon nanostructures
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Greenshields, M.W.C.C.; Cunha, B.B.; Coville, N.J.; Pimentel, I.C.; Zawadneak, M.A.C.; Dobrovolski, S.; Souza, M.T.; Hümmelgen, I.A. Fungi Active Microbial Metabolism Detection of Rhizopus sp. and Aspergillus sp. Section Nigri on Strawberry Using a Set of Chemical Sensors Based on Carbon Nanostructures. Chemosensors 2016, 4, 19.

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