A sweet solution detection method based on cell image recognition

Abstract

The invention discloses a sweet solution detection method based on cell image recognition. It includes the following steps: take N drops of the sweet solution to be tested, drop them on the taste receptor cells for stimulation in turn, and stimulate the taste receptor cells each time to obtain a corresponding measurement signal KC1; take N measurement signals KC1 as input data KC1 ( t) Input a layer of nonlinear dynamics model, draw the signal-to-noise ratio SNR curve, find the abscissa value of the characteristic peak in the signal-to-noise ratio SNR curve, and judge which sweet solution to be tested belongs to according to the abscissa value of the characteristic peak a sweet solution. The invention utilizes the cell imaging method without contact with the tested cells, greatly reduces the interference caused by the outside world, eliminates the interference factors affecting the instantaneous physiological state of the cells, and has fast detection time and high detection accuracy.

Description

technical field [0001] The invention relates to the technical field of solution detection, in particular to a sweet solution detection method based on cell image recognition. Background technique [0002] Taste cell sensor is a kind of cell sensor. It uses taste receptor cells as molecular recognition elements, which can determine the existence and concentration of certain taste types (such as sweet, bitter, salty, sour, etc.), so as to achieve Qualitative and quantitative test analysis, and the extent of real-time, fast and non-destructive intelligent inspection. [0003] The current detection methods include patch clamp method, bionic taste detection method, electrochemical cell sensor method. Although the patch clamp method can detect the ion channel response signal of single cells, its instrument is inconvenient to use and can only be used in the laboratory. Although bionic taste detection technology can achieve the classification of taste substances to a certain exten...

AI Technical Summary

Problems solved by technology

Although the patch clamp method can detect the ion channel response signals of single cells, the instrument is inconvenient to use and can only be used in the laboratory

Although the bionic taste detection technology can realize the classification of taste substances to a certain extent, its repeatability and accuracy are limited.

Although the electrochemical cell sensor method can achieve the detection target of taste substances to a certain extent, its repeatability is also limited.

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