详细信息

Simultaneous Analysis for the Multiple Periodontal Pathogens by High-Speed Capillary Electrophoresis  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Simultaneous Analysis for the Multiple Periodontal Pathogens by High-Speed Capillary Electrophoresis

作者:Chen, Jin[1];Wang, Fengchao[1];Ni, Yi[2];Dou, Xiaoming[2,3]

机构:[1]Shanghai Inst Technol, Coll Sci, 100 Haiquan Rd, Shanghai 201418, Peoples R China;[2]East China Univ Sci & Technol, Grad Sch Sci, Inst Photon & Biomed, 130 Meilong Rd, Shanghai 200237, Peoples R China;[3]Osaka Univ, Grad Sch Engn, Dept Appl Phys, Osaka, Japan

年份:2020

卷号:53

期号:3

起止页码:413

外文期刊名:ANALYTICAL LETTERS

收录:;WOS:【SCI-EXPANDED(收录号:WOS:000482449900001)】;

语种:英文

外文关键词:High-speed capillary electrophoresis; periodontal disease; Porphyromonas gingivalis; Tannerella forsythia; Treponema denticola

摘要:In the present study, one important branch of high-speed capillary electrophoresis (HSCE), short-end CE, was employed for the highly efficient analysis of Porphyromonas gingivalis (Pg), Treponema denticola (Td), and Tannerella forsythia (Tf), which are closely related to the occurrence of periodontal disease. Aiming to realize rapid and simultaneous detection, a 100 bp DNA ladder marker ranging from 100 to 1500 bp was employed as the standard for the optimization of polymer concentration and electric field strength in developed protocol. The results showed that the PCR (polymerase chain reaction) products of Pg (197 bp), Td (311 bp), and Tf (641 bp) were simultaneously identified and quantitated in approximately 90 s using electrophoretic conditions that included 0.4% hydroxyethylcellulose (HEC, 1300 K) and a 200 V/cm electric field with an effective length of separation equal to 2.5 cm. The detected concentrations of the above target samples, determined by a time-modified internal standard route, were 1.08, 1.60, and 2.46 ng/mu l, respectively. The present short-end CE strategy featured favorable properties for reproducibility, accuracy and linearity, whose evaluation included the values of relative standard deviation and the correlation coefficient. The current work may provide an effective avenue for the clinical detection of periodontal disease.

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