对原核表达的重组嗜水气单胞菌Aer毒素进行初步纯化,比较了它与天然Aer毒素的抗原性,为建立检测该毒素的免疫学方法奠定了基础。将原核表达的重组Aer毒素经SDS-PAGE后,切下目的蛋白,利用电洗脱法将蛋白洗脱出来,后经透析、PEG8000浓缩...对原核表达的重组嗜水气单胞菌Aer毒素进行初步纯化,比较了它与天然Aer毒素的抗原性,为建立检测该毒素的免疫学方法奠定了基础。将原核表达的重组Aer毒素经SDS-PAGE后,切下目的蛋白,利用电洗脱法将蛋白洗脱出来,后经透析、PEG8000浓缩、定量,对獭兔进行免疫,采集血清,提纯IgG,在W estern b lotting试验中可与天然Aer毒素起反应,说明,体外表达的重组Aer毒素保留了天然Aer毒素所具有的抗原性。同时,将嗜水气单胞菌AHCS02菌接种于兔鲜血平板,30℃、培养15 h后,将具有β-溶血的单菌落于LB液体培养基中培养后,用饱和硫酸铵法提取上清液中的天然Aer毒素,用甲醛脱毒后,以同样免疫方法免疫獭兔,免疫结束后,采集血清提取IgG,在W estern b lotting试验中,可以检测到重组Aer毒素。试验说明:原核表达的重组Aer毒素和天然Aer毒素诱导獭兔产生的血清IgG抗体可以互相识别重组Aer毒素和天然Aer毒素,重组Aer毒素和天然Aer毒素有相似的抗原性。展开更多
In order to increase robustness of the AERS (Aero-engine Rotor System) and to solve the problem of lacking fault samples in fault diagnosis and the difficulty in identifying early weak fault, we proposed a new method ...In order to increase robustness of the AERS (Aero-engine Rotor System) and to solve the problem of lacking fault samples in fault diagnosis and the difficulty in identifying early weak fault, we proposed a new method that it not only can identify the early fault of AERS but also it can do self-recovery monitoring of fault. Our method is based on the analysis of the early fault features on AERS, and it combined the SVM (Support Vector Machine) with the stochastic resonance theory and the wavelet packet decomposition and fault self-recovery. First, we zoom the early fault feature signals by using the stochastic resonance theory. Second, we extract the feature vectors of early fault using the multi-resolution analysis of the wavelet packet. Third, we input the feature vectors to a fault classifier, which can be used to identify the early fault of AERS and carry out self-recovery monitoring of fault. In this paper, features of early fault on AERS, the zoom of early fault characteristics, the extraction method of early fault characteristics, the construction of multi-fault classifier and way of fault self-recovery monitoring are studied. Results show that our method can effectively identify the early fault of AERS, especially for identifying of fault with small samples, and it can carry on self-recovery monitoring of fault.展开更多
文摘对原核表达的重组嗜水气单胞菌Aer毒素进行初步纯化,比较了它与天然Aer毒素的抗原性,为建立检测该毒素的免疫学方法奠定了基础。将原核表达的重组Aer毒素经SDS-PAGE后,切下目的蛋白,利用电洗脱法将蛋白洗脱出来,后经透析、PEG8000浓缩、定量,对獭兔进行免疫,采集血清,提纯IgG,在W estern b lotting试验中可与天然Aer毒素起反应,说明,体外表达的重组Aer毒素保留了天然Aer毒素所具有的抗原性。同时,将嗜水气单胞菌AHCS02菌接种于兔鲜血平板,30℃、培养15 h后,将具有β-溶血的单菌落于LB液体培养基中培养后,用饱和硫酸铵法提取上清液中的天然Aer毒素,用甲醛脱毒后,以同样免疫方法免疫獭兔,免疫结束后,采集血清提取IgG,在W estern b lotting试验中,可以检测到重组Aer毒素。试验说明:原核表达的重组Aer毒素和天然Aer毒素诱导獭兔产生的血清IgG抗体可以互相识别重组Aer毒素和天然Aer毒素,重组Aer毒素和天然Aer毒素有相似的抗原性。
文摘In order to increase robustness of the AERS (Aero-engine Rotor System) and to solve the problem of lacking fault samples in fault diagnosis and the difficulty in identifying early weak fault, we proposed a new method that it not only can identify the early fault of AERS but also it can do self-recovery monitoring of fault. Our method is based on the analysis of the early fault features on AERS, and it combined the SVM (Support Vector Machine) with the stochastic resonance theory and the wavelet packet decomposition and fault self-recovery. First, we zoom the early fault feature signals by using the stochastic resonance theory. Second, we extract the feature vectors of early fault using the multi-resolution analysis of the wavelet packet. Third, we input the feature vectors to a fault classifier, which can be used to identify the early fault of AERS and carry out self-recovery monitoring of fault. In this paper, features of early fault on AERS, the zoom of early fault characteristics, the extraction method of early fault characteristics, the construction of multi-fault classifier and way of fault self-recovery monitoring are studied. Results show that our method can effectively identify the early fault of AERS, especially for identifying of fault with small samples, and it can carry on self-recovery monitoring of fault.
