ORIGINAL RESEARCH
Statistical Modeling for the Extraction of Dye from Natural Source and Industrial Applications
 
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Department of Chemistry, University of Agriculture, Faisalabad-Pakistan
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Sharif College of Engineering & Technology, Lahore-Pakistan
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Department of Mathematics & Statistics, University of Lahore, Lahore-Pakistan
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Department of Chemistry, Karakoram International University, Gilgit, Gilgit-Pakistan
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Institute of Chemistry, Shah Abdul Latif University, Khairpur, Sindh-Pakistan
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Department of Chemistry, University of Lahore, Lahore-Pakistan
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Department of Chemistry, University of Gujrat, Rawalpindi Campus, Rawalpindi-Pakistan
CORRESPONDING AUTHOR
Arif Nazir   

Department of Chemistry, Department of Chemistry, University of Lahore, Lahore-Pakistan, 1-Km Raiwind Road, Lahore, 54000 Lahore, Pakistan
Online publish date: 2019-01-25
Publish date: 2019-03-01
Submission date: 2018-01-17
Final revision date: 2018-01-31
Acceptance date: 2018-02-07
 
Pol. J. Environ. Stud. 2019;28(4):2145–2150
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ABSTRACT
This study is intended to scrutinize the consequence of extraction conditions of Lawsonia Inermis (henna) leaves on the color strength values of dyed fabric. Extraction pH, M:L ratio, and time were optimized using central composite design (CCD) under response surface methodology (RSM). We investigated how the maximum colour strength values were obtained at pH 6.64 in about 78 minutes extraction with an M:L ratio of 1:44. ANOVA results showed that all the extraction parameters significantly affect the colour strength values of dyed samples. 99% variation in the response was indicated in the 2nd-order regression equation for K/S. The fastness properties with respect to light, washing, and rubbing were quite satisfactory of dyed samples under optimized extraction conditions.
eISSN:2083-5906
ISSN:1230-1485