The optimum model was achieved and stored in the developed software. 
the developed software
Synergy interval partial least square (Si-PLS) was first used to select spectral subintervals of interest, and then competitive adaptive reweighted sampling (CARS) and genetic algorithm (GA) were comparatively employed to select the variables of interest from the subintervals of interest.  The results also showed that GA-Si-PLS performed better than CARS-Si-PLS model and the CVs for most of the samples were <5%. 
Si-PLS
Synergy interval partial least square (Si-PLS) was first used to select spectral subintervals of interest, and then competitive adaptive reweighted sampling (CARS) and genetic algorithm (GA) were comparatively employed to select the variables of interest from the subintervals of interest.  The results also showed that GA-Si-PLS performed better than CARS-Si-PLS model and the CVs for most of the samples were <5%. 
CARS
Real-time monitoring of total polyphenols content in tea using a developed optical sensors system.A portable and low-cost optical sensors system consisting of hardware and software was developed and used for real-time monitoring total polyphenols content in tea in this work.  Synergy interval partial least square (Si-PLS) was first used to select spectral subintervals of interest, and then competitive adaptive reweighted sampling (CARS) and genetic algorithm (GA) were comparatively employed to select the variables of interest from the subintervals of interest.  The results also showed that GA-Si-PLS performed better than CARS-Si-PLS model and the CVs for most of the samples were <5%. 
GA