The invention discloses a biological in-vitro sample aging
quality control detection method, and relates to the technical field of biological samples, and the method specifically comprises the following steps: screening
metabolic markers based on biological physiological characteristics, and constructing an in-vitro quality attenuation model; collecting and preprocessing sample data; detecting the concentration of the
metabolic marker through detection equipment; inputting marker concentration data into the model for dynamic comparison; and outputting aging classification, and guiding experiment scheduling operation. According to the method, effective use
time efficiency is adopted for rapid judgment, the problem that experimental data is influenced by metabolic degradation of a sample after in-vitro is solved,
time efficiency grading can be completed in a short time through multi-marker dynamic comparison and a
machine learning model, the method is remarkably superior to a traditional method, and by combining a micro-fluidic detection device and an LSTM model, the detection accuracy is greatly improved. According to the method, the samples can be scheduled to proper experiment operation according to the
effective time limit of the samples, waste of the samples is avoided, and after failure samples are detected, a user can be reminded to collect the samples again, so that the experiment process is prevented from being delayed.