Literature DB >> 33089339

Protection of surplus food from fungal spoilage using Streptomyces spp.: a green approach.

Munendra Kumar1, Prateek Kumar1, Payal Das1, Renu Solanki2, Monisha Khanna Kapur3.   

Abstract

Consortia of Streptomyces spp. (colonies 169, 194, 165 and 130) used in this study are an efficient producer of secondary metabolites like chitinases and antifungal compounds, which may help in the protection of surplus food from spoilage. Qualitative screening for chitinase production and taxonomy of these colonies were undertaken in our previous studies. In the current study, GC-MS analysis of extract produced from the consortia of Streptomyces strains was done for the identification of antifungal compounds. Treatment of surplus food with activated consortia of Streptomyces spp. has protected powdered food for a month, whereas fresh food (unpowdered) was preserved for two days. A control sample of surplus food (untreated) was kept to check the contamination, which resulted in the growth of three fungi (FP-1, FG-1, and FB-1). Taxonomic characterization of fungi and identification of toxic compounds produced from them were done by ITS amplification and GC-MS analysis, respectively. The study shows that the secondary metabolites from Streptomyces spp. have the potential to protect the food from mycotoxin contamination. Based on literature reports, this is for the first time that bioactive compounds and chitinases produced from Streptomyces are being used for the protection and management of surplus food.

Keywords:  Food protection; Food-spoiling fungus; Mycotoxins; Secondary metabolites; Streptomyces

Year:  2020        PMID: 33089339     DOI: 10.1007/s00203-020-02087-4

Source DB:  PubMed          Journal:  Arch Microbiol        ISSN: 0302-8933            Impact factor:   2.552


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1.  Protection of surplus food from fungal spoilage using Streptomyces spp.: a green approach.

Authors:  Munendra Kumar; Prateek Kumar; Payal Das; Renu Solanki; Monisha Khanna Kapur
Journal:  Arch Microbiol       Date:  2020-10-21       Impact factor: 2.552

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