Modeling method for biochemical reaction process of immunochromatography test strip
A biochemical reaction and immunochromatography technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of modeling quantitative immunochromatography test strips without immunochromatography test strips, etc.
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Embodiment 1
[0066] Embodiment 1: Carry out the modeling method of immunochromatographic quantitative determination reaction process with extended Kalman filter method
[0067] According to our observational data obtained from experimental measurements, see figure 2 , and then set the initial values of the estimated state, parameters, system noise and observation noise variance to identify the model. The result is as follows:
[0068] The extended Kalman filter algorithm estimates the changes of various substances in the immunochromatographic test strips, see image 3 ; For the model parameters estimated by the extended Kalman filter algorithm, see Figure 4 ; The model established by the extended Kalman filter algorithm verifies the Hook effect, see Figure 5 ; Verify the validity of the model established by the extended Kalman filter algorithm Figure 6 .
Embodiment 2
[0069] Embodiment 2: Carry out the modeling method of immunochromatographic quantitative determination reaction process with particle filter method
[0070] According to our observational data obtained from experimental measurements, see figure 2 , and then set the initial values of the estimated state, parameters, system noise and observation noise variance to identify the model. The result is as follows:
[0071] The particle filter algorithm estimates the changes of various substances in the immunochromatography test strips, see Figure 7 ; For the model parameters estimated by the particle filter algorithm, see Figure 8 .
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