摘要
目的以ATP生物发光检测法为基础,通过分析样本发光值与菌落数的关系,研究ATP生物发光检测技术在空气微生物监测中的应用。方法使用自动化ATP荧光检测系统对大肠杆菌(ATCC 8099)、枯草芽孢杆菌黑色变种(ATCC 9372)、白色葡萄球菌(ATCC 8032)菌悬液进行检测,分别对相对发光单位(relative luciferase units,RLU)和细菌浓度进行相关性分析,并建立细菌浓度值与ATP荧光值的数学模型;采用Coriolisμ生物气溶胶采样器采集空气中的生物样本,并使用ATP法测定空气中细菌浓度,对照固体撞击法检测结果,验证ATP法的实用性和准确性。结果 3种细菌菌落计数对数值与RLU对数值呈高度线性相关(R^2>0.9),撞击法和ATP荧光检测法对空气中细菌含量的检测结果相关系数高(R^2=0.923)。结论 ATP生物发光检测技术可通过RLU值来判断被测样本中细菌含量。基于自动化ATP荧光检测系统和气旋式生物气溶胶采样器建立空气细菌浓度检测模型,能灵敏、快速地判断空气细菌污染程度,是一种可即时监测空气质量的有效手段。
Objective To study the applicability of ATP bioluminescence detection technology in airborne microbial monitoring by analyzing the relationship between ATP bioluminescence assay and the plate counting method. Methods The automated ATP fluorescence detection system was used to detect the relative luciferase units of E.coli(ATCC 8099),Bacillus subtilis var niger(ATCC 9372)and Staphylococcus albus(ATCC 8032)suspension. A mathematical prediction model was established by analyzing the correlation between relative luciferase units(RLUs)and the corresponding bacteria concentrations. A Coriolis μ bioaerosol sampler was used to collect the microbial samples in the air and the concentrations of bacteria were determined by ATP bioluminescence assay. Compared with the results from the impacting method,the applicability and accuracy of the proposed method were verified. Results Excellent correlations(R^2>0.9)between the concentration measured by the ATP bioluminescence assay and plate counting method were obtained for the bacterial suspensions. There was a significant correlation(R^2=0.923)between the bacterial concentrations in the air determined by the proposed method and the impacting method. Conclusion The ATP biofluorescence detection technology can determine the content of bacteria in the measured sample by the RLUs value. The detection assay that combines ATP bioluminescence assay with the cyclonic biological aerosol sampler can sensitively and quickly determine the level of air bacterial contamination.
作者
陈盟
祁建城
李玲君
杜耀华
程智
李抄
CHEN Meng;QI Jian⁃cheng;LI Ling⁃jun;DU Yao⁃hua;CHENG Zhi;LI Chao(Institute of Medical Support,Institute of Systems Engineering,Academy of Military Sciences,Tianjin 300161,China)
出处
《军事医学》
CAS
北大核心
2020年第7期523-529,共7页
Military Medical Sciences
基金
国家科技重大专项课题(2017ZX10304403)
