Comparison of Pressurized Water Extraction With Ultrasound Assisted Extraction for Isolation of Phycobiliproteins From Arthrospira platensis (Spirulina).

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-12-10 DOI:10.1002/pca.3486
Lenka Burdějová, Pavlína Dadajová, Barbora Kudláčková, Filip Duša
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Abstract

Introduction: Cyanobacterium Arthrospira platensis (AP) (Nordstedt) Gomont contains high content of phycobiliproteins (PBP), which are an important source for food industry. Methods effectively extracting proteins contained in AP cells are demanded to provide a supply of the material. Water-based extraction methods are advisable due to the high solubility of the PBP.

Objectives: Extraction techniques such as ultrasound assisted extraction (UAE) and pressurized water extraction (PWE) are popular due to their environmental friendliness, better extraction efficiency, and faster extraction process. In this paper, efficiency of the two methods is compared.

Materials and methods: PWE along with UAE is utilized for release of PBP from the AP cells. The extraction parameters including time, temperature, pressure, and ultrasound intensity are tested to obtain the most efficient setup. The methods were evaluated using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), and the replicates of PWE extracts were further analyzed by capillary isoelectric focusing with laser-induced fluorescence (cIEF-LIF).

Results: The developed PWE method using higher pressure treatment at lower temperature was significantly faster than UAE methods, and the SDS-PAGE results showed a high content of phycobiliproteins in the extracts. cIEF-LIF analysis showed that the sequential PWE of individual samples was repeatable, and the mild extraction provided a fluorescent profile similar to the commercially available C-phycocyanin standard.

Conclusion: Pressurized water extraction was shown to be an efficient, rapid, and well-automated extraction method for AP proteins in general, including bioactive phycobiliproteins. Obtained results encourage the use of PWE in small-scale analytical applications for primary extraction of proteins.

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加压水萃取与超声辅助萃取分离平螺旋藻藻胆蛋白的比较。
摘要蓝藻Arthrospira platensis (AP) (Nordstedt) Gomont含有高含量的藻胆蛋白(PBP),是食品工业的重要来源。需要有效提取AP细胞中所含蛋白质的方法来提供材料的供应。由于PBP的高溶解度,水基提取方法是可取的。目的:超声辅助提取(UAE)和加压水提取(PWE)等提取技术因其环境友好、提取效率高、提取过程快而广受欢迎。本文对两种方法的效率进行了比较。材料和方法:利用PWE和UAE从AP细胞中释放PBP。提取参数包括时间、温度、压力和超声强度进行了测试,以获得最有效的设置。采用十二烷基硫酸钠聚丙烯酰胺凝胶电泳(SDS-PAGE)对方法进行评价,并采用激光诱导荧光毛细管等电聚焦(cIEF-LIF)对PWE提取物的重复进行分析。结果:采用低温高压处理的PWE法明显快于UAE法,SDS-PAGE结果显示,提取液中藻胆蛋白含量高。cIEF-LIF分析表明,单个样品的顺序PWE是可重复的,温和提取提供了类似于市售c -藻蓝蛋白标准的荧光谱图。结论:加压水萃取是一种高效、快速、自动化程度高的AP蛋白提取方法,包括生物活性藻胆蛋白。所得结果鼓励PWE在蛋白质初级提取的小规模分析应用中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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