1) microorganism in cereals
粮食微生物
2) stored-grain microbe
储粮微生物
1.
The technique of the classification of stored-grain microbe is presented and the hardware and software composition of the de-tection system are provided.
阐述了储粮微生物显微分类识别的方法,提出了检测系统的硬件和软件组成。
2.
A fuzzy pattern recognition algorithm is proposed based on similarity and principle of selecting near to realize microscopic image of stored-grain microbe.
提出了一种基于贴近度和择近原则的模糊模式识别方法来实现储粮微生物显微图像的判别,该方法充分利用了由于微生物生长时间的长短会造同种菌类间存在差异、不同种菌类存在相似性的这个模糊的特点,引入了模糊集的理论。
3.
After using soft morphology to inspect the image edge﹐the four primary fungi of stored-grain microbe are classified by 7 improved moment invariant features.
运用柔性形态学进行图像边缘检测,然后采用改进的7个形状不变矩对储粮微生物中的四种主要细菌进行了特征提取和分类。
3) food microbiology
食品微生物
1.
Application of DGGE technique in the food microbiology;
变性梯度凝胶电泳(DGGE)技术在食品微生物研究中的应用
2.
To Prefect Food Microbiology Experimental Teaching,to Train the Applied Talents
论食品微生物学实验教学体系的改革与完善
3.
Recently, this technique was introduced into and applied in food microbiology.
多聚酶链式反应结合变性梯度凝胶电泳指纹分析技术(PCR-DGGE)常用于分析自然环境中微生物群体的遗传多样性,具有可重复和容易操作且不需要进行微生物培养等特点,近年来该技术开始作为食品微生物的研究手段。
4) food microorganism
食品微生物
1.
Non-thermal biological effect of microwave on food microorganism and technology of microwave sterilization;
微波对食品微生物的非热生物效应与微波杀菌技术
2.
The Development and the Research of Fast Detection Technique of Food Microorganism
食品微生物快速检测技术的研究进展
3.
The basic principles of enzyme linked immunosorbent assay (ELISA),immunochromatography(IC),immunofluorescence technique (IFT),enzyme-linked fluorescent immunoassay (ELFIA),immunoblotting and latex agglutination test (LAT) were introduced,and the application of these six immunological detection techniques on food microorganism were reviewed.
介绍了酶免疫测定技术、免疫层析技术、免疫荧光技术、酶联荧光免疫分析技术、免疫印迹技术、乳胶凝集试验的基本原理,并综述了这6种免疫学技术在食品微生物检测中应用。
5) food microbe
食品微生物
1.
It was briefly reviewed about recent progresses on testing of food microbes by genechip based procedures.
本文扼要综述了近年来基因芯片技术在食品微生物检测中的研究进展,着重讨论基因芯片检测微生物的基本原理与步骤, 样品的采集制备和分离纯化食品微生物DNA的方法和要求,基因芯片技术检测食品常见致病菌及其在食品微生物研究中的应用,该技术在食品微生物中的应用现状和前景。
2.
Artificial Neural Networks(ANN) have been recognized as powerful tools for the case of the non-linear system, particularly for formulation optimization, process simulation and prediction of food microbe fermentation.
人工神经网络对非线性系统具有很强的处理能力,适合对食品微生物发酵进行配方优化、过程仿真与预测。
6) microbivorous
食微生物毒
补充资料:粮食
供食用的谷物、豆类和薯类的统称。
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