Abstract

Abstract The sensory characteristics of food are considerably effected by the metabolic processes of various micro-organisms in the food stored in the field or at ambient temperature. Also, this microbial contamination can pose serious health hazards to public health. Chemical analysis of the complex mixture of volatiles produced during bacterial growth and investigation methods of these microorganisms presents a big challenge. There remains major unmet need to shorten and improve detection methods. Therefore, early detection of the microorganisms will open many frontiers for quality control in the foodstuffs industry. Accordingly, the aim of this study was to assess the feasibility and performance of chemoreceptive sensors for the rapid detection of bacterial pathogens, specifically Pseudomonas aeruginosa and Escherichia coli. In Uv/vis study, zinc tetraphenyl porphyrin solutions (in DMF) was tested with various volatile compounds, such as propanal, hexanal and heptanal which are commonly found to be released during the growth of bacteria. These sensors were used to detect the bacterial odours of two pathogenic species (E.coli and P.aeruginosa) during their growth cycle at 4 °C and ambient temperature. Hypochromic shifts in Uv/vis and hydrogen bonding in FT-IR studies confirmed the interaction between the volatiles and porphyrin. The porphyrin used detected the presence of microorganisms after 12 hrs incubation and showed more sensitivity for volatiles released during aerobic activity P. aeruginosa as compared to E. coli at 4 °C and ambient temperature. Zinc tetraphenyl porphyrin based chemoreceptive membranes has been proved successful for the detection of P. aeruginosa. Hence, the present study proves wide scope of improvement over current laboratory techniques for the detection of pathogens in terms of speed, ease of use, and cost. Key messages The developed technique allows rapid detection of spoiled food. Chemoreceptive property of porphyrin has been exploited for the early detection of bacteria.

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