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Fengnan Lian,Dan Wang,Shuo Yao,Lirui Ge,Yue Wang,Yuyi Zhao,Jinbin Zhao,Xiuling Song,Chao Zhao,Jinhua Li,Yajuan Liu,Minghua Jin,Kun Xu 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.8
This research aimed to detect Escherichia coli O157:H7 in milk based on immunomagnetic probe separation technology and quenching effect of gold nanoparticles to Rhodamine B. Streptavidin-modified magnetic beads (MBs) were combined with biotin-modified antibodies to capture E. coli O157:H7 specifically. Gold nanoparticle (AuNPs) was incubated with sulfhydryl-modified aptamers (SH-Aptamers) to obtain the Aptamers-AuNPs probe. After magnetic beads captured target bacteria and formed a sandwich structure with the gold nanoprobe, Rhodamine B was added into complex to obtain fluorescent signal changes. Our results demonstrated that the established method could detect E. coli O157:H7 in the range of 101–107 CFU/mL, and the limit of detection (LOD) was 0.35 CFU/mL in TBST buffer (pH = 7.4). In milk simulation samples, the LOD of this method was 1.03 CFU/mL. Our research provides a promising approach on the detection of E. coli O157:H7.
Tao Wang,Guoqing Zhou,Jianzhou Wang,Xiaodong Zhao,Yuyi Liu 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.5
Taking the randomness of mechanical parameters and thermal regime into account, a stochastic analysis model is established for investigating the uncertain stresses characteristics of embankment in permafrost regions. The stochastic finite element formulae are obtained by Neumann Stochastic Finite Element Method (NSFEM), and a stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. Using our program, the stochastic stresses fields of an embankment in a permafrost region are obtained and analyzed. The results provide a new way to predict the stresses characteristics of the embankment in permafrost regions, and it shows that the stochastic temperature has a different influence on the mean stresses and standard deviation, and the larger value is at a different location. The standard deviations in stresses increase with time when considering the stochastic effect of temperature and parameters, which imply that the results of conventional deterministic analysis may be far from the true value. It can improve our understanding of the stochastic stresses fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.