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Coffee starter microbiome and in-silico approach to improve Arabica coffee.

IR@CSIR-CFTRI

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Relation http://ir.cftri.com/14199/
https://doi.org/10.1016/j.lwt.2019.108382
 
Title Coffee starter microbiome and in-silico approach to improve Arabica coffee.
 
Creator Siridevi, G.
Devendra, Havare
Basavaraj, K.
Pushpa, S. Murthy
 
Subject 04 Fermentation Technology
04 Coffee
 
Description Arabica coffee is fermented to obtain intense flavor profile and finds elusive prospects in the coffee industry. The
Arabica coffee mucilage constitute 2–5% of the fruit dry weight with 94% moisture, 4% sugar, 0.7% protein and
1–3% pectin. Inductive isolation and screening of functional attributes of microbial strains were examined.
Fermentative vigor along with the enzymatic progression of the microbes was streamlined and the potential
isolates of consortia were optimized. The In-silico docking studies on the fermentation mechanism evidenced
minimal interaction between Pectin and pectinase at lower energy level. The 1CZF disclose the best interaction
binding energy (−3.92 kJ mol−1) with rapid enzymatic and desired fermentation. A CCRD was employed to
study the interactive effect of isolates. The consortia of Saccharomyces cerevisiae, Lactobacillus plantarum and
Bacillus sphaericus (1:1:1) at 10% inoculum concentration found significant in demucilizatin of coffee beans with
noticeable improvement in alcohol (70.26 mg/ml), sugar (5.5 mg/ml) and pectinase (11.66 U/ml) compared to
natural fermentation. The sensory profile of starter fermention(G) scored 7.0 on 1–10 scale. Prospective insights
on application of starter consortia on Arabica coffee fermentation indicates prime requisite for coffee industry.
 
Date 2019
 
Type Article
PeerReviewed
 
Format pdf
 
Language en
 
Identifier http://ir.cftri.com/14199/1/LWT%20-%20Food%20Science%20and%20Technology%20114%20%282019%29%20108382.pdf
Siridevi, G. and Devendra, Havare and Basavaraj, K. and Pushpa, S. Murthy (2019) Coffee starter microbiome and in-silico approach to improve Arabica coffee. LWT - Food Science and Technology, 114. pp. 1-8. ISSN 0023-6438