综述了免疫胶体金技术的原理、特点和应用，并分析了存在的问题，针对其存在问题提出展望。
The paper summaries the principle, advantage and application of immune colloidal gold technique, meanwhile analyses the problem, then puts forward prospect.
目的探讨免疫电镜胶体金技术在应用中某些关键技术环节的处理。
Objective To explore the treatment of some key techniques of immunoelectron microscope colloid gold labelling technique.
斑点金标免疫渗滤新技术(简称金标法)检测家畜血吸虫病抗体，在本省进行了特异性、敏感性、符合率等试验。
A new dot immunogold filtration assay (DIGFA) technology to detect circulating anti-schistosome antibodies in livestock was carried out for evaluation of its sensitivity, specificity, and consistency.
应用胶体金免疫电镜技术对正常肝组织及硬变肝组织纤维粘连蛋白受体表达情况进行研究。
Colloidal gold immuno-electron microscopic technique was used to study the expression of fibronectin receptor in normal and cirrhotic liver tissue.
此外，结合免疫胶体金标记技术在免疫检测与环境检测实际工作中的应用，展望了其在堆肥环境检测中的应用潜力和发展前景。
In addition, the new applications and prospects of immunogold labeling technique in compost detection were proposed based on the applications in immunoassay and environmental analysis.
综述了金纳米粒子的化学和物理制备方法，介绍了金纳米粒子的表征技术，以及金纳米微粒在生化免疫分析中的应用，引用文献102篇。
Chemical and physical preparation methods of gold nanoparticles were reviewed. The spectral and microscopic characterization techniques were introduced. References of 102 were cited in this paper.
方法：荧光金(FG)逆行追踪结合5 HT免疫荧光组织化学染色的双标技术。
METHODS: Fluoro Gold (FG) retrograde tracing combined with serotonin (5 HT) immunofluorescence histochemical staining method was used.
本文介绍免疫电子显微术中的蛋白质A-金标记抗体技术。
This paper presents the protein A-gold labeling technique in immunoelectronmicroscopywhich was introduced in 1970's.
摘 要：酶免疫标记、胶体金免疫标记及荧光免疫标记技术是目前应用最广泛的免疫反应检测技术。
Enzyme immuno-labeling assay, gold nanoparticle immuno-labeling and fluorescence immuno-labeling assay are used most widely in immunoassay.
但现有的纳米金免疫层析技术只能用于定性和半定量的检测，难以满足临床检测指标定量化的要求。
Then, the current GICA can only be applied to qualitative and semiquantitative detection, it cannot satisfy the demand of clinical quantitative detection.
但现有的纳米金免疫层析技术只能用于定性和半定量的检测，难以满足临床检测指标定量化的要求。
Then, the current GICA can only be applied to qualitative and semiquantitative detection, it cannot satisfy the demand of clinical quantitative detection.
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