Managing the production of consistent quality pet foods with NIR

Managing the production of consistent quality pet foods with NIR

 

This is an article from Ben Helm, Commercial Manager at Premier Pet Nutrition and published in nirperformance.com.

 

Apart from the classical parameters  meassured in dry pet food: protein, moisture,ash and fat,  Ben talks about three new pet food NIR innovations;

1: Cook Value

2: Peroxide Value

3: Water activity 

 

The article talks about the importance to control our raw materials in order to maintain the quality in the batches.

NIR limitations (due to the low level contents: ppb) in parameters as Micotoxines.

 

Fundamentals: IR vs. Raman

This video from show us the basic differences between Raman Spectroscopy and Infrared Spectroscopy.

 

PHOTOGRAPHY: Interview to Michael Nichols

He is one of the main Nature photographer worldwide, so this is an amazing interview for all of us who love Nature photography and his pictures.
Exciting the moment when the tiger goes into the water pool and all the effort is compensated.
Amazing all the tips and resorces he use to capture their fantastic pictures.

Exportar ficheros NIR / CAL a Excel (parte 01)

Score Matrix "T" in 3D

We have seen the score matrix, several times in this blog. Now, I create a vector with the scores values for every sample for the first 3 Principal components, or Loadings.
Tcomp1<-T[,1]  ........................T values for the first PC
Tcomp2<-T[,2]  ........................T values for the second PC
Tcomp3<-T[,3]  ........................T values for the third PC

Now there are diferent options to see this T matrix in 3D:
One of them can be:
library(scatterplot3d)scatterplot3d(Tcomp1,Tcomp2,Tcomp3)
 and we get a plot.

Other way is to use the package:
library(rgl)
plot3d(Tcomp1,Tcomp2,Tcomp3,col="red",size=5)

We can move the plot with the mouse and see the different faces of the cube.