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Method for processing predicted detection time of fluorescent photoelectric detection instrument

A photoelectric detection and detection time technology, applied in the field of microbial detection, can solve problems such as early or late appearance, invalid detection, and inaccurate estimated time.

Active Publication Date: 2021-05-14
HAINAN MICROKRYPTON BIOTECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Disadvantages of the plate culture method: the detection takes 2-7 days, the time required is long, and the operation is complicated
Disadvantages of the MPN method: the sample is required to be uniform, suitable for testing liquid samples, and can only be used to test bacteria that produce gas in the fermentation medium
When performing quantitative detection of microorganisms (PCR detection), the experimenter will estimate the detection time of the strain to be tested based on his own experience, and input the estimated time length into the program software that comes with the fluorescent photoelectric detection instrument. The detection will be carried out according to the estimated duration and the detection data will be output. After the detection is over, the data will be analyzed and the peak value will be calibrated. The peak value (or inflection point) is the target data corresponding to the quantitative value. However, the experimenter’s expected After all, the estimated time is not accurate enough. The peak value may appear earlier or later within the estimated time period. If the peak value appears earlier, the detection time after the peak value will be an unnecessary waste of time. If the peak value occurs after a lag, the detection will be invalid.

Method used

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  • Method for processing predicted detection time of fluorescent photoelectric detection instrument
  • Method for processing predicted detection time of fluorescent photoelectric detection instrument
  • Method for processing predicted detection time of fluorescent photoelectric detection instrument

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Embodiment 1

[0067] The processing method of the fluorescent photoelectric detection instrument of the present invention about predicting the detection time comprises the following steps, such as figure 1 Shown:

[0068] S100. The android main program acquires multiple sets of source data in real time. In this embodiment, the android main program stores the multiple sets of source data in a temporary txt file in order, and the source data is the fluorescence intensity value or the od value when detecting the number of colonies ;

[0069] S200, the android main program calls the python subroutine;

[0070] S300, the python subroutine performs data processing on multiple sets of source data respectively to obtain multiple sets of fitting data, respectively judges whether the multiple sets of fitting data have inflection points, if all sets of fitting data have inflection points, execute the next step, otherwise return Step S100;

[0071] Wherein, step S300 data processing and inflection p...

Embodiment 2

[0081] The difference between the second embodiment and the first embodiment is that step S301 is also included before step S310, such as image 3 As shown, it is used to roughly predict whether there is an inflection point trend, which specifically includes the following steps: S3011. Import source data at a fixed time interval Δt, 5≤Δt≤10min;

[0082] S3012. Create a third difference array;

[0083] S3013. Use the np.diff function to perform the second forward difference of the source data, and assign the result to the third difference array;

[0084] S3014. Set the second threshold. If the second forward difference is greater than the second threshold (used to roughly predict whether there is an inflection point trend) compared with the previous difference, then execute step S310, otherwise return to execute step S3011, wherein The second threshold is a numerical value determined based on multiple tests that can identify an inflection point trend. The reason for adding th...

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Abstract

The invention discloses a method for processing predicted detection time of a fluorescent photoelectric detection instrument. The method comprises the following steps: S100, multiple groups of source data in real time are acquired by an android main program; S200, the main program of the android calls a python subprogram; S300, the python subprogram carries out data processing on the multiple sets of source data to obtain multiple sets of fitting data, whether inflection points appear in the multiple sets of fitting data or not is judged, if the inflection points appear in the multiple sets of fitting data, the next step is executed, and if not, the step S100 is executed; S400, the android main program stores the fitting data into a database; and S500, visual display is carried out on the fitting data and the inflection point data by the android main program. According to the method, through mixed compiling of the andorid and the python, the data processing and analysis capability is improved, and the detection time is greatly shortened.

Description

technical field [0001] The invention relates to the technical field of microorganism detection, in particular to a processing method and system for predicting detection time of a fluorescent photoelectric detection instrument. Background technique [0002] There are a large number of bacterial microorganisms in nature, and the number of bacteria can be a sign to judge whether it is clean or not. Examples include E. coli in drinking water or colony counts in food. The total number of bacterial colonies in the food seriously exceeds the standard, indicating that the hygienic condition of the product cannot meet the basic hygienic requirements, which will destroy the nutritional content of the food, accelerate the spoilage of the food, and make the food lose its edible value. Consumers are prone to enteral diseases such as dysentery if they eat food with serious microbial excess, which may cause symptoms such as vomiting and diarrhea, endangering human health and safety. [0...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/26G06F30/20G06Q10/04
CPCG06F16/26G06F30/20G06Q10/04
Inventor 原昊钟永捷万逸
Owner HAINAN MICROKRYPTON BIOTECHNOLOGY CO LTD
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