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用于水中蓝藻毒素检测的免疫分析和生物传感器。

Immunoassays and biosensors for the detection of cyanobacterial toxins in water.

机构信息

Division 1.5 Protein Analysis, BAM Federal Institute for Materials Research and Testing, Richard-Willstätter-Strasse 11, 12489 Berlin, Germany.

出版信息

Sensors (Basel). 2013 Nov 5;13(11):15085-112. doi: 10.3390/s131115085.

DOI:10.3390/s131115085
PMID:24196435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3871135/
Abstract

Algal blooms are a frequent phenomenon in nearly all kinds of fresh water. Global warming and eutrophication by waste water, air pollution and fertilizers seem to lead to an increased frequency of occurrence. Many cyanobacteria produce hazardous and quite persistent toxins, which can contaminate the respective water bodies. This may limit the use of the raw water for many purposes. The purification of the contaminated water might be quite costly, which makes a continuous and large scale treatment economically unfeasible in many cases. Due to the obvious risks of algal toxins, an online or mobile detection method would be highly desirable. Several biosensor systems have been presented in the literature for this purpose. In this review, their mode of operation, performance and general suitability for the intended purpose will be described and critically discussed. Finally, an outlook on current developments and future prospects will be given.

摘要

水华是几乎所有类型淡水水体中常见的现象。全球变暖、废水富营养化、空气污染和肥料的使用似乎导致了水华发生频率的增加。许多蓝藻产生有害且相当持久的毒素,这些毒素可能会污染水体。这可能会限制原水的多种用途。受污染水的净化可能代价高昂,这使得在许多情况下连续大规模处理在经济上不可行。由于藻毒素的明显风险,在线或移动检测方法将是非常理想的。为此,文献中已经提出了几种生物传感器系统。在本综述中,将描述和批判性地讨论它们的工作模式、性能和一般适用性。最后,将展望当前的发展和未来的前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/cc6fbc1085ed/sensors-13-15085f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/66a9150dcf54/sensors-13-15085f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/7df7733b9eb0/sensors-13-15085f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/ccc585797ae9/sensors-13-15085f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/c047271032d7/sensors-13-15085f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/aa855422b563/sensors-13-15085f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/34d5745ed9e3/sensors-13-15085f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/cc6fbc1085ed/sensors-13-15085f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/66a9150dcf54/sensors-13-15085f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/7df7733b9eb0/sensors-13-15085f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/ccc585797ae9/sensors-13-15085f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/c047271032d7/sensors-13-15085f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/aa855422b563/sensors-13-15085f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/34d5745ed9e3/sensors-13-15085f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7381/3871135/cc6fbc1085ed/sensors-13-15085f7.jpg

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