We have also shown that better results can be obtained even in case of single type of sensors prepared in few replicates, when the analysis is based on a multivariate algorithm. The biggest change in the performance of the system was observed for ensemble models. Commercial systems could easily benefit from enhanced precision by simply changing the regression algorithm, without changes in the architecture of the system. Ensemble models such as the random forest algorithm are not easily explainable, for arrays composed of more than one type of sensors other models, offering high degree of interpretability, such as MLR, PCR or PLS can be used.