Berry extracts were analyzed using near-infrared spectroscopy (NIRS), which can be used as a quantitative and qualitative method for detection, identification and classification of raw materials such as berries and control their quality. Fruit spectra were monitored by measuring diffuse trans-reflectance and these spectra have been used in chemometric analysis. The range of the used NIR instrument ranged from 904 - 1699 nm. For the samples were also measured the contents of total phenols and the antioxidant activity using two methods: the DPPH method and Briggs-Rauscher's reaction. The aim of this study was to determine the potential application of infrared spectroscopy in distinguishing samples (fresh or 1 month old), and determining the linear relationship between the observed variables. Chemometrical methods were applied and the analysis of NIR spectra indicated changes in certain wavelengths corresponding to C-H combination and 1st overtone. Using simple PLS models was demonstrated the significance of the impact of storage on NIR spectra (79%), and thus the impact on the quality of the samples, which decreases depending on the duration of storage. This study showed that NIR spectroscopy has potential as a method that can differentiate samples by the sample quality (freshness or duration of storage), as well as to predict the total phenol content and antioxidant activity using specific wavelengths of the spectrum. All results show the usefulness of using NIRS for on-line monitoring of the quality of products and their selection.