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Design of Marine Toxin Analvsis System Based on ECIS and Image Detection

Author: SuKaiZuo
Tutor: WangPing
School: Zhejiang University
Course: Biomedical Engineering
Keywords: ECIS Image Processing Cardiomyocyte DSP OA
CLC: TP274
Type: Master's thesis
Year: 2014
Downloads: 7
Quote: 0
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Recently, marine pollution is getting worse and has seriously affected economic development of our country as well as the public health. The phenomenons of marine pollution such as red tide happen so frequently that lots of contaminations are collected in marine animals and convert to the toxins of marine animals. As one of the best favorite foods in public, shellfish causes many events of food poisoning. So shellfish toxin detection is an urgent task. Shellfish toxins are generally divided into four categories-diarrheic shellfish poisons(DSP), paralytic shellfish poisons(PSP), neurotoxic shellfish poisons(NSP), amnesic shellfish poisons(ASP). For detecting okadaic acid(OA) which is one of DSP, two toxin detection systems based on ECIS and image processing respectively were researched, designed and implemented,which used cell-based biosensors.Cell-based biosensors are special devices that employ living cells as sensing elements and combined with appropriate transducers. As one of cell-based biosensors, electric cell-substrate impedance sensor(ECIS) detects cell impedance to reflect cell number, morphology and attachment then to analyse cell toxicity. The detection system including hardware design and software design was implemented according to the ECIS detection theory. The system hardware used AD5933and MSP430FG4619as key chips to design the instrument and applied the RS232to communicate with the software in the PC. The system software was designed in the QT IDE and responsible for the control of system workflow as well as the data processing. In the performance test, the results6f precise resistance detection were that the CV was under the0.054percent and the CI was within0.01. After performance test, Neuro-2a cells were utilized to detect the OA standard solutions which were25ug/L,50ug/L and100ug/L respectively. The results showed that CI curves had obvious discrimination, which certified the feasibility of the system detection function.The transducer of cell-based biosensors can convert the change of cell physiological parameters to the variation of electric signal as well as optical signal. Because of its electrophysiology and excitation-contraction coupling, cardiomyocyte shows the change of its physiological status with the beating status. According to these theories, an algorithm that can convert beating image to beating curve was designed. Analysis of the beating curve was able to know the change of physiological status of cardiomyocytes. The detection system based on image processing was built, which included optical microscope, CCD module and computer. The system controled the workflow with the system software. In the performance test, the static image, which the detection value of should be0, was monitored for a long time and its average value and STD was3.0272and0.4529respectively. After performance test, rat neonatal primary cardiomyocytes were employed to analyse the toxicity of doxorubicin with different concentration-1μM,4μM and16μM. The results showed the relative beating rates decrease to57.35%,51.15%and35.29%respectively. Finally, the system detected the the OA standard solutions which were25ug/L,50ug/L and100ug/L respectively and the results showed that beating rates decrease to62.41%,57.14%and37.65%respectively. The results indicated that optic image analysis system was able to detect shellfish toxins fast and automatically.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Data processing, data processing system
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