Coffee starter microbiome and in-silico approach to improve Arabica coffee.
IR@CFTRI: CSIR-Central Food Technological Research Institute, Mysore
View Archive Info| Field | Value | |
| Relation |
http://ir.cftri.com/14199/
https://doi.org/10.1016/j.lwt.2019.108382 |
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| Title |
Coffee starter microbiome and in-silico approach to improve Arabica coffee.
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| Creator |
Siridevi, G.
Devendra, Havare Basavaraj, K. Pushpa, S. Murthy |
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| Subject |
04 Fermentation Technology
04 Coffee |
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| 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.
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| Date |
2019
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| Type |
Article
PeerReviewed |
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| Format |
pdf
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| Language |
en
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| 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 |
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