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Laser biotechnology for more efficient bioremediation, protection of aquatic ecosystems and reclamation of contaminated areas

机译:激光生物技术可更有效地进行生物修复,保护水生生态系统和开垦受污染地区

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The results of field long-term experiments (initiated by the first author) showed that laser photostimulation could significantly increase the adaptability of different plant species (the willow Salix sp., elephant grass Miscanthus giganteus, Virginian mallow Sida hermaphrodita, common reed Phragmites australis, etc.) to contaminated environment. The attempts to increase the bioremediation efficiency of contaminated soil and water were made with the application of laser biotechnology. An optimal algorithm of laser biostimulation for selected biological materials for more efficient bioremendiation of selected pollutants was verified by sensitive biotests. Results: Laser irradiation of hydrophytes Lemna minor accelerated the phytoremediation of phosphorus and nitrogen compounds from wastewater and increased the surface area of the duckweed and biomass production. Ecological efficiency of innovative bioremediation versus traditional methods could be tested using computer-based image analysis of selected components of aquatic ecosystems (e.g. Lemna sp., Lymnaea stagnalis, Daphnia sp., Hydra sp.) and highly sensitive to different pollutants juvenile stages of the tested animals. Conclusions: Such an innovative bioremediation method and biotests would be useful for verification of new bioremediation methods and for better reproduction of biological resources and efficient protection of biodiversity in aquatic ecosystems.
机译:野外长期实验的结果(由第一作者发起)表明,激光光刺激可以显着提高不同植物物种的适应性(柳柳,大象草Miscanthus giganteus,弗吉尼亚锦葵Sida hermaphrodita,常见芦苇芦苇,等)污染的环境。尝试通过激光生物技术提高被污染的土壤和水的生物修复效率。通过灵敏的生物测试,验证了一种用于选定生物材料的激光生物刺激的最佳算法,可以对选定污染物进行更有效的生物修复。结果:对小水生植物Lemna进行激光照射可加速植物对废水中磷和氮化合物的修复,并增加浮萍的表面积和生物量的产生。与传统方法相比,创新性生物修复的生态效率可以通过使用计算机图像分析法对水生生态系统的选定组成部分(例如,Lemna sp。,Lymnaea stagnalis,Daphnia sp。,Hydra sp。)进行测试,并且对不同污染物的幼年期高度敏感。被测试的动物。结论:这种创新的生物修复方法和生物测试将对验证新的生物修复方法,更好地繁殖生物资源以及有效保护水生生态系统中的生物有用。

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