Raman spectrum model establishment method for rapid nondestructive identification on diapause termination silkworm eggs
A technology of Raman spectrum and construction method, which is applied in the field of Raman spectrum model construction for rapid and non-destructive identification and release of diapause silkworm eggs, which can solve the problem of difficulty in distinguishing diapause eggs from diapause eggs, silkworm eggs can no longer hatch silkworms, Problems such as the distinction of silkworm diapause have not been found, and the effect of reducing the requirement for technical proficiency has been achieved
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Embodiment 1
[0040] Embodiment 1 Construction of silkworm egg Raman spectrum model
[0041] 1. Acquisition of Raman spectral data: the laser wavelength of the Raman spectrometer is set to 785nm, and the laser power is 40mw; using the continuous detection function of FinderOne, the center wavelength is set to 1400cm -1 ; The minimum wavenumber of spectral detection is 400cm -1 , the highest wave number is 1800cm -1 ; The integration time is 10 seconds, and the number of accumulations is 1 time; a quartz microscope lens is used for focusing; the measurement room temperature is 20°C. For each detection, the incident light is aimed at the middle of the silkworm egg, the focal length is adjusted to obtain a clear image, and then the Raman spectral data in the format of "wavenumber-spectral intensity" is collected. figure 2 It is the Raman spectrum of silkworm egg samples of Dazao and 9fu×7xiang varieties diapausing and releasing diapause, in which (a) is diapause of Dazao, (b) is diapause of...
Embodiment 2
[0048] Analysis of silkworm diapause based on the regression coefficient matrix of the PLS_DA algorithm: According to the principle of PLS_DA, in the regression coefficient matrix, the larger the coefficient corresponding to the wave number, the greater the importance of the wave number in the modeling. Combined with the distribution characteristics of spectral data, the characteristic peaks of the Raman spectrum of silkworm eggs can be identified. The operation is as follows: After removing the fluorescence, calculate the difference between the mean values of the Raman spectra of diapause silkworm eggs and released diapause silkworm eggs, and then multiply it by the corresponding regression coefficient matrix B to obtain the two kinds of silkworm egg spectra in the PLS_DA model. Mathematical distance ΔY, that is: ΔY=B×(X 滞育 -X 解除滞育 ).
[0049] image 3 It is a comparison chart of the processing effect before and after the window moving polynomial least squares smoothing ...
Embodiment 3
[0051] Example 3 Evaluation of the performance of the silkworm egg Raman spectrum model
[0052] Use the confusion matrix and its derivative indicators and the receiver operating characteristic curve to define the quality of the model. Confusion Matrix is a common way to show the prediction accuracy of the model. It is a N*N contingency table (N is the number of categories of the classification). Taking the binary classification as an example, the confusion matrix of the classification results is shown in Table 1 below.
[0053] Table 1 Confusion Matrix
[0054]
[0055] According to the four basic indicators in Table 1, multiple classifier evaluation indicators can be derived, and the commonly used indicators are as follows:
[0056] Accuracy: It is aimed at the correct number of all recognitions in the test set. The calculation formula is: accuracy=(TP+TN) / (TP+TN+FN+FP).
[0057] True positive rate (true positive rate, TPR), which shows how much the classification ...
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