Method for indirectly detecting total amount of amino acids in yellow rice wine
A technology of amino acid and rice wine, which is applied in measuring devices, testing food, testing beverages, etc., can solve problems such as poor reproducibility and high manual work intensity, and achieve the effects of saving costs, reducing pollution, and saving chemical reagents
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Embodiment 1
[0029] Example 1: The modeling results of the indirect prediction model for the total amount of amino acids in 18 yellow rice wine samples
[0030] Using the support vector machine algorithm to establish an indirect prediction model for the total amount of amino acids based on the intermediate data of 18 yellow rice wines. The correlation coefficient between the calculated value of the total amount of amino acids in the modeling results and the experimentally detected value was 0.94. The result is as figure 1 shown.
Embodiment 2
[0031] Example 2: The leave-one-out test results of the indirect prediction model for the total amount of amino acids in 18 yellow rice wine samples are as follows figure 2 shown.
[0032] Using the support vector machine algorithm to establish an indirect prediction model for the total amount of amino acids based on the intermediate data of 18 yellow rice wines. The correlation coefficient between the calculated value of the total amount of amino acids and the experimentally detected value of the leave-one-out internal cross-validation results was 0.82.
Embodiment 3
[0033] Embodiment 3: the prediction result to 2 new yellow rice wine samples total amount of amino acids
[0034] Two new rice wine samples were collected, and the basic data and the indirect prediction results of the total amino acid content of the intermediate data set are shown in Table 3.
[0035] Acid value total sugar reducing sugar Alcohol content pH Y 1
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