需要金币:1000 个金币 | 资料包括:完整论文 | ||
转换比率:金额 X 10=金币数量, 例100元=1000金币 | 论文字数:6537 | ||
折扣与优惠:团购最低可5折优惠 - 了解详情 | 论文格式:Word格式(*.doc) |
摘要:酶联免疫吸附法(ELISA)作为应用于莱克多巴胺的日常检测,对保障食品安全起到了重要的作用。该法灵敏度高,重复性好,但是目前检测时间较长,影响其进一步的应用。所以用间接竞争酶联免疫法对肉产品进行莱克多巴胺含量检测,以拉近反应空间,提高ELISA检测速度。本文根据超顺磁纳米微粒的原理和特点和应用,将莱克多巴胺固定在超顺磁微粒表面,利用间接竞争酶联免疫吸附检测(IC.ELISA)的原理建立了莱克多巴胺定量分析方法并用于肉产品中的莱克多巴胺含量的测定,以提高ELISA法的检测速度。结果显示以磁珠包被ELISA检测方法能够增大反应比表面积,拉近反应空间,检测时间约为0.5-1小时,较常规ELISA检测方法(1.5-2小时)缩短50%以上,同时检测灵敏度与传统方法保持一致。通过新型ELISA 法的建立,大大缩短检测时长,提高操作人员的检测效率,为我国食品安全检测工作提供技术支撑。 关键词:莱克多巴胺 超顺磁微粒 检测 ELISA 优化
Abstract:Enzyme-linked immunosorbent assay (ELISA) is used in routine testing of ractopamine and has played an important role in the protection of food safety. The method has the advantages of high sensitivity, good reproducibility. But the detection time is longer, affecting its further application. For ractopamine determination of meat products,indirect competitive enzyme-linked immunosorbent assay has been used to narrow the the reaction space and improve the speed of the ELISA assay. According to the principles and characteristics and application of the superparamagnetic nanoparticles ,and Ractopamine are fixed in the surface of superparamagnetic particles, then indirect competitive enzyme-linked immunosorbent assay (IC.ELISA) was used to established the quantitative analysis methods of ractopamine for meat products and measurede the content of ractopamine and improve the detection rate of the ELISA method. The result showed that bead package ELISA method for detection could increase the reactive surface area, narrow the reaction space, the detection time was about 0.5-1 hours, reduced by 50% compared with the conventional ELISA method for detection (1.5-2 hours), detection sensitivity with traditional methods consistent. Through the establishment of a new ELISA method, significantly shorten test duration, improve the detection efficiency of the operator, provide technical support for our food safety testing. Key Words:Ractopamine Superparamagnetic nanoparticles Determination ELISA Optimization
|