SYSTEMS AND METHODS FOR ANALYZING ANIMAL FEED
The present invention relates to systems and methods for analyzing animal feeds. In particular, the present disclosure relates to in vitro systems and methods for analyzing animal feed for metabolism of nutrients and energy sources.
1 . A method of analyzing animal feed comprising steps of:
a) digesting a sample of animal feed in vitro using at least one digestive enzyme to generate digested animal feed comprising at least one residual component;
b) scanning the digested animal feed using NIR spectroscopy to generate spectral data; and
c) comparing the spectral data to a computer model to generate a predicted concentration of the at least one residual component of the digested animal feed.
2 . The method of claim 1 , wherein at least one digestive enzyme is pepsin or pancreatin or both.
3 . The method of claim 1 , wherein the digesting the sample of animal feed further comprises separating the digested sample into a dry matter portion and a liquid portion and wherein scanning the digested animal feed comprises scanning the dry matter portion.
4 . The method of claim 3 , wherein the dry matter portion is dried before scanning the dry matter portion.
5 . The method of claim 1 , wherein the at least one residual component is selected from the group consisting of protein, phosphorous, gross energy, and carbohydrates.
6 . The method of claim 1 , wherein the sample of animal feed comprises an additive.
7 . The method of claim 6 , wherein the additive comprises an enzyme.
8 . The method of claim 7 , wherein the method further comprises determining the effect of the additive on digestibility of the animal feed by comparing the predicted concentration of the at least one residual component in the sample of digested animal feed comprising the additive to a predicted concentration of the at least one residual component in a sample of the digested animal feed without the additive.
9 . The method of claim 1 , wherein the spectral data is compared using a computer implemented method comprising receiving spectral data from the digested sample and comparing the spectral data to the computer model to obtain the predicted concentration of the at least one residual component.