Optimization of chlorophyll extraction from pineapple plantation waste

The abundance of pineapple waste generated in Malaysia has becomes a serious issue as it puts our environment in grave danger. The presence of chlorophyll in pineapple waste has attracted many researchers to produce a natural dye from chlorophyll as a sensitizer for solar cells. Natural dyes can be...

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Main Authors: Siti Hajar Abd Rahim, Norazwina Zainol, Kamaliah Abdul Samad
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844022031395
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author Siti Hajar Abd Rahim
Norazwina Zainol
Kamaliah Abdul Samad
author_facet Siti Hajar Abd Rahim
Norazwina Zainol
Kamaliah Abdul Samad
author_sort Siti Hajar Abd Rahim
collection DOAJ
description The abundance of pineapple waste generated in Malaysia has becomes a serious issue as it puts our environment in grave danger. The presence of chlorophyll in pineapple waste has attracted many researchers to produce a natural dye from chlorophyll as a sensitizer for solar cells. Natural dyes can be considered a promising substitute for synthetic dyes as they are more environmentally friendly and cost less when compared to the synthetic dyes that are currently available on the market. This research aims to optimize the conditions of chlorophyll extraction from pineapple leaves using a mechanical extraction method. A response surface methodology was used to design an experimental design table using a central composite design based on two significant factors. The extraction cycle and the storage time varied between 1 and 5 cycles and 7 and 9 h, respectively, were studied. From the study, the maximum concentration of total chlorophyll (TC) was 693.292 mg/L. The optimum conditions for extraction cycle and storage time were at 3 cycles and 8 h, respectively. Among those two factors, it has been discovered that the storage time has a smaller p-value (p = 0.1106) than the extraction cycle, indicating that this factor was the critical factor affecting the TC concentration. The value of R2 for the analysis was 0.8673, making the analysis a well-fitted model. Thus, it has been established that the models are suitable for optimizing the extraction conditions in order to maximize the concentration of TC using the mechanical method.
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spelling doaj.art-4cf207fea4da42b8910a6227269e3b142022-12-22T04:35:58ZengElsevierHeliyon2405-84402022-11-01811e11851Optimization of chlorophyll extraction from pineapple plantation wasteSiti Hajar Abd Rahim0Norazwina Zainol1Kamaliah Abdul Samad2College of Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, MalaysiaCollege of Engineering, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, Malaysia; Earth Resources and Sustainability Centre (ERAS), Universiti Malaysia Pahang, 26300 Gambang, Kuantan, Pahang, Malaysia; Corresponding author.Faculty of Chemical and Process Engineering Technology, Universiti Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Pahang, MalaysiaThe abundance of pineapple waste generated in Malaysia has becomes a serious issue as it puts our environment in grave danger. The presence of chlorophyll in pineapple waste has attracted many researchers to produce a natural dye from chlorophyll as a sensitizer for solar cells. Natural dyes can be considered a promising substitute for synthetic dyes as they are more environmentally friendly and cost less when compared to the synthetic dyes that are currently available on the market. This research aims to optimize the conditions of chlorophyll extraction from pineapple leaves using a mechanical extraction method. A response surface methodology was used to design an experimental design table using a central composite design based on two significant factors. The extraction cycle and the storage time varied between 1 and 5 cycles and 7 and 9 h, respectively, were studied. From the study, the maximum concentration of total chlorophyll (TC) was 693.292 mg/L. The optimum conditions for extraction cycle and storage time were at 3 cycles and 8 h, respectively. Among those two factors, it has been discovered that the storage time has a smaller p-value (p = 0.1106) than the extraction cycle, indicating that this factor was the critical factor affecting the TC concentration. The value of R2 for the analysis was 0.8673, making the analysis a well-fitted model. Thus, it has been established that the models are suitable for optimizing the extraction conditions in order to maximize the concentration of TC using the mechanical method.http://www.sciencedirect.com/science/article/pii/S2405844022031395Pineapple leafChlorophyll extractionMechanical extractionOptimizationCentral composite design
spellingShingle Siti Hajar Abd Rahim
Norazwina Zainol
Kamaliah Abdul Samad
Optimization of chlorophyll extraction from pineapple plantation waste
Heliyon
Pineapple leaf
Chlorophyll extraction
Mechanical extraction
Optimization
Central composite design
title Optimization of chlorophyll extraction from pineapple plantation waste
title_full Optimization of chlorophyll extraction from pineapple plantation waste
title_fullStr Optimization of chlorophyll extraction from pineapple plantation waste
title_full_unstemmed Optimization of chlorophyll extraction from pineapple plantation waste
title_short Optimization of chlorophyll extraction from pineapple plantation waste
title_sort optimization of chlorophyll extraction from pineapple plantation waste
topic Pineapple leaf
Chlorophyll extraction
Mechanical extraction
Optimization
Central composite design
url http://www.sciencedirect.com/science/article/pii/S2405844022031395
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AT norazwinazainol optimizationofchlorophyllextractionfrompineappleplantationwaste
AT kamaliahabdulsamad optimizationofchlorophyllextractionfrompineappleplantationwaste