Sweet solution detection method based on cell image recognition

Abstract

The invention discloses a sweet solution detection method based on cell image recognition. The method comprises the following steps: taking N drops of a sweet solution to be detected, sequentially dropping the sweet solution to be detected onto taste receptor cells for stimulation, and stimulating the taste receptor cells each time to obtain a corresponding measurement signal KC1; and inputting the N measurement signals KC1 as input data KC1 (t) into a layer of nonlinear kinetic model, drawing a signal-to-noise ratio (SNR) curve, finding out the abscissa value of a characteristic peak in the SNR curve, and judging which sweet solution the sweet solution to be detected belongs to according to the abscissa value of the characteristic peak. The cell imaging method is utilized without contacting with the detected cell, the interference brought by the outside is greatly reduced, interference factors influencing the instant physiological state of the cell are eliminated, the detection time is short, and the detection accuracy is high.

Description

technical field [0001] The invention relates to the technical field of solution detection, in particular to a method for detecting sweet solution 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 to determine the existence and concentration of certain taste types (such as sweetness, bitterness, saltiness, sourness, etc.), so as to achieve Qualitative and quantitative test analysis, as well as the degree of real-time, fast and non-destructive intelligent detection. [0003] The current detection methods include patch clamp method, bionic taste detection method, and electrochemical cell sensor method. Although the patch clamp method can detect the ion channel response signal of a single cell, its instrument is inconvenient to use and can only be used in the laboratory. Although bionic taste detection technology can realize the classification of taste substa...

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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