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基于Nano SIMS表征荧蒽在单体微生物体内运移研究的实验数据处理方法

Characterization of experimental data processing for migration of fluoranthene in monomer microorganism with Nano SIMS

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【作者】 姜茹菡李艺王红旗刘自力孔德康吴枭雄

【Author】 JIANG Ruhan;LI Yi;WANG Hongqi;LIU Zili;KONG Dekang;WU Xiaoxiong;College of Water Sciences,Beijing Normal University;College of Environment and Resource,Guangxi Normal University;

【通讯作者】 王红旗;

【机构】 北京师范大学水科学研究院广西师范大学环境与资源学院

【摘要】 利用纳米二次离子技术(Nano SIMS)对荧蒽在盐单胞菌BDG-3体内的代谢过程进行观测,对选中区域中质量数为12、13、16、26的信号进行收集;并结合Image J和Python软件对所获得的数据进行分析.结果表明:菌体内12C-13C-呈正相关,相关系数极强,为0.998.16O-26(12C14N)-呈正相关,相关系数较强,为0.813.并且,通过构建雷达图对不同元素进行综合性评价,计算了不同时间点下的假单胞菌BDG-3平均面积、平均周长、协调性Vi.结果表明在3h时,菌体的平均面积最大,达到1.39,3h后又迅速下降,6h达到最低为0.003 1,评价函数f(Si,Vi)显示加入荧蒽3h左右,盐单胞菌BDG-3生长状态最佳.本研究结合Python与Image J软件,建立了一套完整、直观的微生物Nano SIMS图像处理与评价的方法,从而为研究在微生物体内更为复杂的环境污染物质的降解代谢过程提供了全新、可靠的分析手段.

【Abstract】 Nano-secondary ion technique(Nano SIMS)was used to investigate fluoranthene metabolism in Halomonassp.BDG-3.Mass signals at 12,13,16,and 26 were collected and analyzed with Image J and Python.12C- and 13C- were found to be positively correlated,with a strong correlation coefficient of 0.998.16 O-was found to be positively correlated with 26(12C14N)- at a coefficient of 0.813.Constructed radar chart was used to evaluate average area,average circumference and coordination of Halomonas sp.BDG-3 at different time points.Average area of cells was at a peak value of 1.39 at 3 h.Average area subsequently decreased rapidly,with a minimum of 0.003 1 at 6 h.Evaluation function f(Si,Vi) showed that when fluoranthene was added at 3 h,Halomonas sp.BDG-3 showed the highest growth.Therefore by combining Python and Image J,a complete and intuitive method was established for image processing and evaluation of microbial Nano SIMS.This work provides a new and reliable analytical method to study degradation and metabolism of more complex environmental pollutions in microorganisms.

【基金】 国家自然科学基金资助项目(41772234);广西自然科学基金青年基金资助项目(2017GXNSFBA198168)
  • 【文献出处】 北京师范大学学报(自然科学版) ,Journal of Beijing Normal University(Natural Science) , 编辑部邮箱 ,2019年03期
  • 【分类号】X132
  • 【被引频次】1
  • 【下载频次】99
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