Abd Rahim Siti Hajar, Zainol Norazwina, Samad Kamaliah Abdul
College 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.
Heliyon. 2022 Nov 24;8(11):e11851. doi: 10.1016/j.heliyon.2022.e11851. eCollection 2022 Nov.
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 -value ( = 0.1106) than the extraction cycle, indicating that this factor was the critical factor affecting the TC concentration. The value of R 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.
马来西亚产生的大量菠萝废料已成为一个严重问题,因为这使我们的环境面临严重危险。菠萝废料中叶绿素的存在吸引了许多研究人员从叶绿素中制备天然染料,用作太阳能电池的敏化剂。天然染料可被视为合成染料的一种有前景的替代品,因为与目前市场上的合成染料相比,它们更环保且成本更低。本研究旨在使用机械提取方法优化从菠萝叶中提取叶绿素的条件。采用响应面法,基于两个显著因素,使用中心复合设计来设计实验设计表。分别研究了提取循环次数和储存时间,其变化范围分别为1至5次循环和7至9小时。从研究中可知,总叶绿素(TC)的最大浓度为693.292毫克/升。提取循环次数和储存时间的最佳条件分别为3次循环和8小时。在这两个因素中,已发现储存时间的p值(p = 0.1106)比提取循环次数小,这表明该因素是影响TC浓度的关键因素。分析的R值为0.8673,这使得该分析成为一个拟合良好的模型。因此,已确定这些模型适用于优化提取条件,以便使用机械方法使TC浓度最大化。