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预处理-整合牛奶蛋白去除和设备辅助免疫层析法检测 17 项。

Pretreatment-Integration for Milk Protein Removal and Device-Facilitated Immunochromatographic Assay for 17 Items.

机构信息

Beijing Institute of Radiation Medicine, Beijing, 100850, People's Republic of China.

出版信息

Sci Rep. 2019 Aug 12;9(1):11630. doi: 10.1038/s41598-019-47692-6.

DOI:10.1038/s41598-019-47692-6
PMID:31406133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6690872/
Abstract

Accurate and comprehensive immunochromatographic assay (ICA) data are urgently required in the daily supervision of plants, schools, testing institutions, and law-enforcing departments. Through pretreatment-integration and device-facilitated operation, a quantitative ICA with high sensitivity and throughput was realized on the basis of a commercialized semi-quantitative ICA strip. Three pretreatment methods, namely, acid base, heavy metal salt, and organic solvent methods, have less than three steps. The pretreatment was established for protein removal. A total of 17 pretreated ICA items in milk were considered for the identification of the most suitable pretreatment method. The items are composed of six items pretreated by the acid-base method, six by the heavy salt method, and five by the organic solvent method. Then, the ICA results with pretreatment were compared with those without pretreatment. After pretreatment, the signal intensity increased by 39%, the detection limit decreased to 12%, the half maximal inhibitory concentration decreased to 18%, and the detection range increased fourfold. A device with mixing and centrifugation functions was designed for the pretreatment-related operations. A pre-incubation sampling device was used to facilitate incubation in batch and high-throughput detection. An ICA reader was used. The detection throughput reached 8 samples per batch or 32 samples per hour. The designed devices were printed through 3D printing and rapid prototyping.

摘要

在对植物、学校、检测机构和执法部门的日常监管中,迫切需要准确和全面的免疫层析分析(ICA)数据。通过预处理集成和设备辅助操作,在商业化的半定量 ICA 条的基础上实现了高灵敏度和高通量的定量 ICA。三种预处理方法,即酸碱法、重金属盐法和有机溶剂法,步骤均少于三步。该预处理方法用于去除蛋白质。总共考虑了 17 种预处理 ICA 牛奶项目,以确定最适合的预处理方法。这些项目由六种用酸碱法预处理的项目、六种用重金属盐法预处理的项目和五种用有机溶剂法预处理的项目组成。然后,将预处理后的 ICA 结果与未经预处理的结果进行比较。预处理后,信号强度增加了 39%,检测限降低至 12%,半最大抑制浓度降低至 18%,检测范围增加了四倍。设计了一种具有混合和离心功能的设备,用于预处理相关操作。使用预孵育采样设备方便批量孵育和高通量检测。使用 ICA 读取器,检测吞吐量达到每批 8 个样本或每小时 32 个样本。通过 3D 打印和快速原型制作打印设计的设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/0eb94ed92aaf/41598_2019_47692_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/e7e3bfa39335/41598_2019_47692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/7d1a62f3fd0e/41598_2019_47692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/01adb8e47162/41598_2019_47692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/42ad0df62210/41598_2019_47692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/98bbf975792c/41598_2019_47692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/0eb94ed92aaf/41598_2019_47692_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/e7e3bfa39335/41598_2019_47692_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/7d1a62f3fd0e/41598_2019_47692_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/01adb8e47162/41598_2019_47692_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/42ad0df62210/41598_2019_47692_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/98bbf975792c/41598_2019_47692_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68f5/6690872/0eb94ed92aaf/41598_2019_47692_Fig6_HTML.jpg

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