生物参数的英文

• biological parameter

• 生物:    living things; living beings ...
• 参数:    parameter
• 微生物参数:    microbial parameter
• 污染物参数:    pollutant parameter
• 关键污染物参数:    critical pollutant parmeter

例句与用法

1. As a novel sensor , the surface acoustic wave ( saw ) sensor can be used to measure different sorts of physical , chemical and biologic quantities
   作为一种新型传感器，声表面波（ surfaceacousticwave ，简称saw ）传感器可以被用于测量多种物理、化学、生物参数。
2. The aim of the software is to optimize and control the operation of fermentation process . the dissertation focuses on : 1 . the kinds of parameters measured in fermentation process are analyzed
   分析了抗生素发酵过程中参数的类型，如按照性质可以分为：物理参数，化学参数，生物参数等，按照测量方法可以分为：在线测量参数，离线测量参数和软测量参数。
3. Based on this , through a lot of yeast , e - polylysine ferment experiments and analyzing the data , comprehend the universality rule of animalcule ferment ; advanced soft - measure model , estimate the parameter non - measurable online , including the parse model based main - regression analyze , the ann model based ann arithmetic . guide the fed - batch control and environment parameter by the optimized track . to advance the last gain , identify the fermentation phase
   在此基础上，经多次酵母发酵实验、聚赖氨酸发酵实验及对大量实验数据的分析，深入了解了微生物发酵的一般性规律；建立了微生物发酵过程的软测量模型，对不可在线测量的生物参数进行估计，包括由主元回归分析得到的解析式模型，由神经网络算法得到的神经网络模型。
4. The epd s water monitoring programme from the 1980s onward had mostly focused on physico - chemical parameters of marine water and sediment . biomonitoring had been restricted to the monitoring of sewage bacteria and phytoplankton as part of the general marine water quality monitoring . there had been no monitoring of effects of toxic pollution on marine organisms
   本署自八十年代开始实行水质监测计划，一直以海水及沉积物的物理及化学参数为主，生物参数只限于污水细菌及浮游植物的监测，污染对海洋生物的影响并不包括在监察项目内。
5. To carry out further optimizing and control strategy , more information must be gained first . however , the process will face many problems when being measured . nowadays , only those parameters such as physical and chemical parameters can be measured on - line , and other parameters , such as bio - parameters which are more complex and important , can not be measured yet
   发酵过程具有强非线性、时变性和相关性，要实现对发酵过程的进一步优化和控制，必须获得足够的发酵过程信息，但是目前发酵过程被测量参数仅局限于某些物理、化学参数，而对于较为复杂的生物参数，也是最关键的参数的在线测量，目前还没有较为成熟的技术可运用，采用软测量技术是解决此问题的出路之一。