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PCR管内温度的精准预测及快速控温

发布时间:2024-01-15浏览量:985
作者:张月业1,2, 姚佳2, 张芷齐2, 李金泽2, 周连群1,2 作者单位:1. 长春理工大学机电工程学院, 吉林 长春 130022;
2. 中国科学院苏州生物医学工程技术研究所 中国科学院生物医学检验技术重点实验室, 江苏 苏州 215163

Accurate estimation and rapid temperature control methods of PCR temperature in tube
ZHANG Yueye, YAO Jia, ZHANG Zhiqi, LI Jinze, ZHOU Lianqun
1. School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130022, China;
2. Key Laboratory of Bio-medical Diagnosis, Suzhou Institude of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
Abstract: The polymerase chain reaction (PCR) analyzer takes the sample block temperature as the control object to control the sample temperature, resulting in thermal hysteresis. To reduce the thermal hysteresis and shorten the temperature change time of sample, this paper is based on the establishment of single-hole sample thermal conduction model by the finite element analysis technique, a three-parameter model that fused the initial temperature-target temperature-equivalent thermal resistance is constructed to predicted the sample temperature in tube and achieve real-time temperature tracking in the PCR process. According to the predicted temperature in the tube, the temperature of the sample block is accurately and quickly controlled, which greatly shorten the heating and cooling time and reduce the heat transfer hysteresis of the sample in the tube. The experimental results show that compared with the actual temperature in the tube, the error of the method is less than ±1.5 ℃. The temperature hysteresis time in tube is reduced by more than 27% after optimizing the target curve of sample block temperature. The optimization method of accurate control of the temperature overshoot in this paper significantly shorted the overall PCR thermal cycle time on the basis of maintaining the sample temperature in the tube, which was conducive to achieving faster and more accurate nucleic acid quantitative detection results.
Keywords: polymerase chain reaction;finite element analysis;temperature prediction;temperature optimization
2023, 49(11):150-156  收稿日期: 2023-02-11;收到修改稿日期: 2023-04-07
基金项目: 国家重点研发计划资助项目(2022YFC2409300);江苏省社会发展重点研究开发项目(BE2020768);中国科学院生物医学检验技术重点实验室开放课题资助项目(A2023F001)
作者简介: 张月业(1997-),男,河南台前县人,硕士研究生,专业方向为PCR温度控制。
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