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

Abstract

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.

Application of a Low-Cost Electronic Nose for Differentiation between Pathogenic Oomycetes Pythium intermedium and Phytophthora plurivora

“…Wang et al [ 22 ] studied volatile organic compound emitted by Phytophthora cactorum infected strawberries by a newly constructed bioelectronic nose based on single-stranded DNA and a single-walled carbon nanotube. Another fungal infection of strawberries was reported by Greenshields et al [ 23 ]. Detection by the electronic nose of fungal contamination of wood has been reported [ 24 , 25 ].…”

Electronic Nose Differentiation between Quercus robur Acorns Infected by Pathogenic Oomycetes Phytophthora plurivora and Pythium intermedium

“…Recently, reports have been published on studies on Penicillium expansum spoilage of apples [17], Aspergillus species discrimination [18] and analysis of VOCs of different fungal species. Studies of VOCs of Phytophthora cactorum species were reported by Wang et al [19] and Greenshields et al [20] in a case of infected strawberries. An electronic nose was used to detect fungal infection of wood [21,22].…”

Advanced biosensing technologies for monitoring of agriculture pests and diseases: A review

“…The behavior of carbon nanostructure polymer composite sensor devices is based on the level of response, which is dependent on both the nature and concentration of the adsorbed molecular species. Greenshields et al [46] report the chemical sensors based on carbon nanostructure-poly(vinyl alcohol) (PVA) composites to detect four fungi species in melons, revealing the sensors response to a stimulus (interaction with carbon nanostructure polymer composites) provided by the volatiles exhaled by fruits. The research team further developed a set of resistive sensors based on carbon nanostructures for fast detection and identification of two general of fungi (Rhizopus sp.…”