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A Simple and Non-destructive Method for Chlorophyll Quantification of Chlamydomonas Cultures Using Digital Image Analysis

机译:使用数字图像分析的一种简单且无损性的叶绿素量化叶绿素量化方法

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Growing interest in the use of microalgae as a sustainable feedstock to support a green, circular, bio-economy has led to intensive research and development initiatives aimed at increasing algal biomass production covering a wide range of scales. At the heart of this lies a common need for rapid and accurate methods to measure algal biomass concentrations. Surrogate analytical techniques based on chlorophyll content use solvent extraction methods for chlorophyll quantification, but these methods are destructive, time consuming and require careful disposal of the resultant solvent waste. Alternative non-destructive methods based on chlorophyll fluorescence require expensive equipment and are less suitable for multiple sampling of small cultures which need to be maintained under axenic growth conditions. A simple, inexpensive and non-destructive method to estimate chlorophyll concentration of microalgal cultures in situ from digital photographs using the RGB colour model is presented. Green pixel intensity and chlorophyll a, b and total chlorophyll concentration, measured by conventional means, follow a strong linear relationship (R2 = 0.985-0.988). In addition, the resulting standard curve was robust enough to accurately estimate chlorophyll concentration despite changes in sample volume, pH and low concentrations of bacterial contamination. In contrast, use of the same standard curve during nitrogen deprivation (causing the accumulation of neutral lipids) or in the presence of high quantities of bacterial contamination led to significant errors in chlorophyll estimation. The low requirement for equipment (i.e., a simple digital camera, available on smartphones) and widely available standard software for measuring pixel intensity make this method suitable for both laboratory and field-based work, particularly in situations where sample, qualified personnel and/or equipment is limited. By following the methods described here it should be possible to produce a standard curve for chlorophyll analysis in a wide range of testing conditions including different microalga cultures, culture vessel and photographic set up in any particular laboratory.
机译:越来越兴趣使用微藻作为可持续原料来支持绿色,循环,生物经济导致了集约化的研发举措,旨在增加含有各种秤的藻类生物量生产。在核心的核心中,伴随着测量藻类生物质浓度的快速和准确的方法。基于叶绿素含量的替代分析技术使用溶剂提取方法对叶绿素量化,但这些方法是破坏性的,耗时的耗时,需要仔细处理所得溶剂废物。基于叶绿素荧光的替代非破坏性方法需要昂贵的设备,并且不太适合于需要维持在轴烯生长条件下的小培养物的多种取样。呈现了一种简单,廉价且无损的方法,以估计使用RGB颜色模型的数字照片原位原位的微藻培养物的叶绿素浓度。通过常规方法测量的绿色像素强度和叶绿素A,B和总叶绿素浓度遵循强烈的线性关系(R2 = 0.985-0.988)。此外,尽管样品体积,pH和低浓度的细菌污染变化,所得标准曲线足以准确地估计叶绿素浓度。相反,在氮气剥夺期间使用相同的标准曲线(导致中性脂质的积累)或在大量细菌污染的存在下导致叶绿素估计的显着误差。设备的低要求(即智能手机上的简单数码相机)和广泛可用的标准软件,用于测量像素强度,使得这种方法适用于实验室和基础的工作,特别是在样本,合格人员和/或/或设备有限。通过遵循这里描述的方法,应该可以在包括不同微藻培养物,培养血管和在任何特定实验室中设置的不同微藻培养物,培养皿和摄影的叶绿素分析中产生标准曲线。

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