PLS regression variable selection for quantification of biopolymer

Spectral data for biopolymer solution in water and cell-free supernatant are used to build PLS models. Four variable selection algorithm, i.e., GA, CARS, ABUSE, and PSO are adopted to build PLS sub-models on reduced variable space. The LOD estimation is performed on the data sets.