Your browser doesn't support javascript.
loading
Study on optimization of process parameters for enhancing the multi-hydrolytic enzyme activity in garbage enzyme produced from preconsumer organic waste.
Arun, C; Sivashanmugam, P.
Affiliation
  • Arun C; Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu 620015, India. Electronic address: lrcarun@gmail.com.
  • Sivashanmugam P; Department of Chemical Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu 620015, India. Electronic address: psiva@nitt.edu.
Bioresour Technol ; 226: 200-210, 2017 Feb.
Article in En | MEDLINE | ID: mdl-28002780
ABSTRACT
The garbage enzymes produced from preconsumer organic waste containing multi hydrolytic enzyme activity which helps to solubilize the waste activated sludge. The continuous production of garbage enzyme and its scaling up process need a globe optimized condition. In present study the effect of fruit peel composition and sonication time on enzyme activity were investigated. Garbage enzyme produced from 6g pineapple peels 4g citrus peels pre-treated with ultrasound for 20min shows higher hydrolytic enzymes activity. Simultaneously statistical optimization tools were used to model garbage enzyme production with higher activity of amylase, lipase and protease. The maximum activity of amylase, lipase and protease were predicted to be 56.409, 44.039, 74.990U/ml respectively at optimal conditions (pH (6), temperature (37°C), agitation (218 RPM) and fermentation duration (3days)). These optimized conditions can be successfully used for large scale production of garbage enzyme with higher hydrolytic enzyme activity.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sewage / Garbage / Lipase Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2017 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sewage / Garbage / Lipase Type of study: Prognostic_studies Language: En Journal: Bioresour Technol Journal subject: ENGENHARIA BIOMEDICA Year: 2017 Document type: Article
...