A Method for the Temperature Measurement of PCR Instrument Based on Multi-Sensor Data Fusion

Abstract:

Method based on multi-sensor detection and data fusion technology is proposed for the temperature of real-time quantitative PCR reaction samples .The principle of Grubbs is used to eliminate the careless mistake data. Particularly, the fusion method based on weighted mean value and estimation in batches is used to process the sampled data, which gives error of indication. And then we can revise indication values.

• Periodical: Advanced Materials Research (Volume 462)
• Pages: 624-630
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.462.624
• Online since: February 2012
• Authors: Rong Rui Fang, Sheng Hu Xue, Zi Hong Ye, Xiao Ping Yu
• Keywords: Data Fusion, Measurement, Multi-Sensor, PCR Instrument, Temperature Field

References

[1] Ji Youn Lee, Hee-Woong Lim, et al. Simulation and real-time monitoring of polymerase chain reaction for its higher efficiency [J]. Biochemical Engineering Journal. 29 (2006): 109～118.

DOI: 10.1016/j.bej.2005.02.023

[2] Huang Jing, Chen Zhangwei, et al. FEA simulation research of temperature uniformity in quantitive PCR thermal cycle system [J]. Chinese Journal of Scientific Instrument, 2010, 31(5): 1142～1146 (in Chinese).

[3] Wenchao Zhang. Polymerase Chain Reaction (PCR) Technology and Gene Amplification Analysis Instrument [J]. Life science instrument, 2005, 3(3): 13～19 (in Chinese).

[4] Liu Jun, Weijun, Tianran Wang. Research and Realization of Algorithms for Gene-chip PCR Temperature-Tracking Control[C]. The Ninth International Conference on Electronic Measurement＆Instruments. 2009: 3946～3949(in Chinese).

DOI: 10.1109/icemi.2009.5274173

[5] CHENG Yuanxia, HUA Zezhao, et al. Effect of denatured temperature and time on quantification PCR detecting HBV [J]. China Journal of Modern Medicine, 2009, 19(23): 3529～3531 (in Chinese).

[6] Varshney PK. Multisensor data fusion [J]. Electronics&Communication Engineering Journal, 1997, 9(6): 245～253.

[7] Xiang Xinjian. Temperature Measurement System in Grain Depot Based on Multi-sensors Data Fusion [J]. Chinese Journal of Scientific Instrument, 2003, 24(5): 525～527 (in Chinese).

[8] JIANG Ping, HU She-jiao, PAN Zong-ling. Temperature fusion of rail-pillow steam-maintain measuring and control system[J]. Journal of Transducer Technology, 2003, 22(9): 37～41(in Chinese).

[9] TENG Zhao-sheng. A Method for the Measurement of Temperature of Heat-treatment Based on Multisensor Data Fusion [J]. ACTA METR -OLOGICA SINICA, 2000, 21(2): 148～152 (in Chinese).

[10] ZHANG Xiao-gang, CHEN Hua, ZHANG Jing. Rotary kiln sintering temperature measurement and control based on fuzzy multisensor data fusion [J]. Control and Decision, 2002, 17(6): 867～870 (in Chinese).

DOI: 10.1109/icarcv.2004.1469055

[11] Tang yi. Study of the Multi-sensor Data Fusion Technology [D]. University of electronic science and technology of china, 2006: 2～8(in Chinese).

[12] Huang hui-ning, Liu yuan-zhang, Liang zhao yang. Overview of the Multi-sensor Data Fusion Technology [J]. SCIENCE&TECHNOLOGY INFORMATION, 2010, (15): 72～73 (in Chinese).

[13] Huang man-guo, Fan shang-chun, Zheng de-zhi. Research progress of multi-sensor data fusion technology [J]. Transducer and Microsystem Technologies, 2010, 29(3): 5～8(in Chinese).

[14] Cheng Yuanxia, WeiYan, LuXiangyou, et al. Experimental Study and analysis of temperature characteristics on PCR Performance [J]. Life science instrument, 2008, 6: 52～55 (in Chinese).

[15] Lou Yi-chun. Temperature Distribution and Maintaining on PCR Machines in Use [J]. LABORATORYRESEARCH, 2001, 20(4): 109～111 (in Chinese).

[16] Yi-Tai Fei. Error Theory and Data Processing [M], Beijing, Machinery Industry Press, 2007: 43～49 (in Chinese).

[17] FAN-TIAN KONG, YOU-PING CHEN, et al. DISTRIBUTED TEMPERATURE CONTROL SYSTEM BASED ON MULTI-SENSOR DATA FUSION[C]. Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, 2005: 18～21.

DOI: 10.1109/icmlc.2005.1526996