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Antimicrobial Potential of Callistemon lanceolatus Seed Extract and its Statistical Optimization

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Abstract

Plants have always been eminent source of medicinal products. Screening of the aqueous seeds extract of Callistemon lanceolatus (bottle brush) revealed its broad spectrum antimicrobial potential with an inhibition zone ranging from 13 to 28 mm against various pathogenic microorganisms. While optimizing the different parameters the antimicrobial activity was better expressed at 15 % concentration, prepared by extracting the material at 60 °C for 20 min. The extract was filtered through muslin cloth and gave best results at its natural pH. Statistical optimization by Response surface methodology enhanced the antimicrobial activity up to 1.6-fold. Minimum inhibitory concentration values of the aqueous extract of seeds of C. lanceolatus against different organisms ranged from 1–5 mg/ml. The viable cell count studies indicated a bactericidal effect against most of the pathogens. The aqueous extract was found to be relatively thermostable at 100 °C. When treated for shelf life at ambient conditions and refrigeration temperature (2–8 °C), the latter only showed a 28 % loss in antimicrobial activity. The aqueous extract was found to be biosafe when evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide reagent (MTT toxicity) assay and Ames mutagenicity assay.

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Acknowledgments

The authors are thankful to university grants commission for the grant in the form of UPE (University Potential for excellence) and the corresponding author as PI of the project. Lovedeep Nim is also thankful to UGC for Rajiv Gandhi National Fellowship for SC students (201516-RGNF-17-SC-HAR-27244).

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  1. Department of Microbiology, Guru Nanak Dev University, Amritsar, 143005, India

    Daljit Singh Arora, Lovedeep Nim & Harpreet Kaur

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  1. Daljit Singh Arora
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  2. Lovedeep Nim
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Correspondence to Daljit Singh Arora.

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Arora, D.S., Nim, L. & Kaur, H. Antimicrobial Potential of Callistemon lanceolatus Seed Extract and its Statistical Optimization. Appl Biochem Biotechnol 180, 289–305 (2016). https://doi.org/10.1007/s12010-016-2099-3

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  • DOI: https://doi.org/10.1007/s12010-016-2099-3

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