Statistical Modeling for the Extraction of Dye from Natural Source and Industrial Applications

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About the Journal In Memory of Professor Jerzy Radecki Ownership and Management Statement Editorial Office Editorial Board Scope Impact Factor Indexed by Journal Impact Factor contributing items Publication Frequency Revenue Sources & Business Model Contact Subscription

Current issue

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Instructions for Authors Copyright & Licensing Publication Fees

Editorial policies Publication Policy Overview Peer Review Policy Research Ethics and Malpractice Policy Plagiarism Policy Conflict of Interest Policy Open Access Policy Instructions for Reviewers Generative AI and AI-Assisted Technologies Policy Advertising Policy Direct Marketing & Manuscript Solicitation Digital Archiving and Preservation Policy CrossMark, Correction, and Retraction Policy

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ORIGINAL RESEARCH

Statistical Modeling for the Extraction of Dye from Natural Source and Industrial Applications

Sobia Jabeen ¹

,

Shaukat Ali ¹

,

Muhammad Nadeem ²

,

Khalid Arif ³

,

Naseem Qureshi ⁴

,

Ghulam Abbas Shar ⁵

,

Gul Afshan Soomro ⁵

,

Munawar Iqbal ⁶

,

Arif Nazir ⁶

,

Umme Habibah Siddiqua ⁷

1

Department of Chemistry, University of Agriculture, Faisalabad-Pakistan

2

Sharif College of Engineering & Technology, Lahore-Pakistan

3

Department of Mathematics & Statistics, University of Lahore, Lahore-Pakistan

4

Department of Chemistry, Karakoram International University, Gilgit, Gilgit-Pakistan

5

Institute of Chemistry, Shah Abdul Latif University, Khairpur, Sindh-Pakistan

6

Department of Chemistry, University of Lahore, Lahore-Pakistan

7

Department of Chemistry, University of Gujrat, Rawalpindi Campus, Rawalpindi-Pakistan

Submission date: 2018-01-17

Final revision date: 2018-01-31

Acceptance date: 2018-02-07

Online publication date: 2019-01-25

Publication date: 2019-03-01

Corresponding author

Arif Nazir

Department of Chemistry, Department of Chemistry, University of Lahore, Lahore-Pakistan, 1-Km Raiwind Road, Lahore, 54000 Lahore, Pakistan

Pol. J. Environ. Stud. 2019;28(4):2145-2150

DOI: https://doi.org/10.15244/pjoes/85125

KEYWORDS

central composite design

response surface methodology

TOPICS

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 2^nd-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.

CONFLICT OF INTEREST

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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