1) cell concentration
菌体细胞浓度
1.
Application for a soft-sensing model of cell concentration basedon RBF neural network;
RBF神经网络在菌体细胞浓度软测量中的应用
2.
Beginning with the analysis of the parameter correlation in fermentation process,the parameters that can express the magnitude of biomass in fermentation process are found out;then with these parameters as importing variables,a soft-sensing model of cell concentration based on neural network is built up.
从生物细胞代谢角度,分析了发酵过程中生物代谢参数的相关性,找出了能够表示生物变量大小的代谢参数,然后将这些参数作为输入变量,建立了菌体细胞浓度软测量的神经网络模型。
2) bacterial concentration
细菌浓度
1.
The method of nature sedimentation was taken for the measurement of the bacterial concentration .
方法选择图书馆,教室,食堂,宿舍等场所,分别于人员聚集与稀疏的不同时相,采用暴皿沉降法检测空气中细菌浓度。
3) cell concentration
细胞浓度
1.
Based on the techniques of( inoculating) the virus in step, adjusting the concentration of the cell and the virus, the formation time of the cell monolayer and the harvest time being 24 and 96 hours as standard respectively, it was confirmed that the (appropriate) condition was that the cell concentration was 1.
在鸡胚成纤维细胞 (CEF)培养鸡痘鹌鹑化弱毒细胞苗的工艺中 ,采用同步接毒工艺 ,通过调整单位细胞浓度和单位病毒含量 ,以细胞单层形成时间和收获时间分别为 2 4h和 96h为标准 ,确定细胞浓度和接毒浓度分别为 1。
2.
This Paper presents the model of soft measurement based on Neural Net -work and a new nonlinear algorithm in that Online estimation of cell concentration in fermentation process is difficult.
针对生物发酵过程中细胞浓度难以在线检测的问题,提出了基于人工神经元网络的软测量模型及一种改进的非线性BP算法,为复杂系统中参数的检测提供了一条有效途径。
3.
The results showed that the maximal cell concentration increased by 31.
结果表明:最大细胞浓度提高了31。
4) thalli concentration
菌体浓度
1.
Results show that: there is significant correlation between the fermentation temperature and thalli concentration;with the fermentation microbe Lactobacillus bulgaricu(Lb) to Streptococcus thermophilus(St)ratio of 1∶1,the obtained optimum fermentation conditions are inoculation amount 3.
响应面分析结果表明,发酵温度与响应值菌体浓度存在显著的相关性,在发酵剂保加利亚乳杆菌和嗜热链球菌比例为1∶1条件下,通过典型性分析得到优化菌体浓度发酵条件:发酵剂添加量为3。
2.
In this paper, an RBF neural network was used as a soft sensor model to estimate the thalli concentration in this process, and discussed the on line tuning method for the soft sensor model.
菌体浓度是微生物生长过程中关键的质量指标 。
3.
and the function relation between the thalli concentration and absorbance was established.
该文研究了微生物转化制备甘露醇中,应用浊度法测定菌体浓度。
5) Cell concentration
菌体浓度
1.
The principle of phase locked amplifier realizing the detection of weak signal is analyzed,and a new method for measuring cell concentration on line by phase locked amplifier is proposed.
简要介绍了锁相放大器的基本组成 ,分析了锁相放大器实现微弱信号检测的原理 ,提出了一种利用锁相放大器在线检测生物发酵过程菌体浓度的新方法 ,并且实验验证了该检测方法的可行
2.
To get the highest cell concentration and spore forming rate, we optimized the culturing conditions.
为使酪酸梭状芽孢杆菌的菌体浓度和芽孢转化率都达到最大,我们对其培养条件进行了研究。
3.
Based on that the dielectric permittivity of cell suspensions is monotonic function of the measuring frequency and cell concentration at radio-frequencies,a new method for detecting cell concentrations on-line and in-situ is proposed .
利用发酵液在无线电频率范围内的电容率是测量频率与菌体浓度的函数 ,提出了一种实时在线检测发酵过程菌体浓度的新方法 ,设计了检测传感器和自动检测系统 ,并且实验验证了该检测方法及检测系统的可行
6) Biomass concentration
菌体浓度
1.
The results showed that the concentration of microbial suspension was highest and best effect was obtained in the application after six days of culture, while the ratio of carbon and nitrogen between different media had an important influence on the biomass concentration and the metabolites.
以老窖泥为材料,通过对富集、筛选的复合菌液的研究与应用发现:第6天培养菌液菌体浓度最大,在生产中应用效果最好;同时,不同培养基的C∶N比值,对复合菌液的菌体浓度及代谢产物有重要的影响。
2.
The biomass concentration is an important biologic parameter that affects glutamic fermentation process,but it can not be directly detected on-line and real-time due to lacking of effective biologic sensor,so it can not be controlled.
针对由于缺乏可靠的生物传感器,谷氨酸发酵中重要的生物参数—菌体浓度不能在线测量,更不能对其实现控制的情况,提出了基于径向基神经网络的内模控制。
补充资料：体细胞(染色体）交换
体细胞(染色体）交换
指体细胞有丝分裂过程中发生的交换，可致杂合等位基因的纯合化。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条