In the new century, the most fundamental problem on a global scale is hunger and poverty reduction is one of the primary goals set by the United Nations. Currently, it is necessary to increase agricultural activities and to evaluate all agricultural products rich in nutrients without loss in order to feed the hungry population in the world. Considering that one of the most important causes of hunger in the world is inadequate access to protein content, legumes are one of the most valuable nutritional resources. In order to ensure the sustainability of legumes, alternative new ways of recycling their wastes are sought based on these multiple functions. For this purpose, recycling legume cooking waters to be used as food raw materials in various processes means reducing food waste. Recovery of nutritional components in legumes is also beneficial in vegan and vegetarian diets. In this review study, the importance of legumes in terms of global needs, their importance in terms of nutrition, the methods of obtaining the protein content of legumes, the functional properties of these proteins in the field of food processing, the gains of the evaluation and recovery of legume cooking water (Aquafaba), especially waste, were discussed.

The aim of the studies reported in the Research Communication was to develop a rapid spectroscopic technique as an alternative method for the classification and discrimination of milk sources by Fourier transform infrared spectroscopy (FTIR). Cow, sheep and water buffalo milk samples were collected from various local milk producers in Istanbul, Turkey. In addition, various brands of packaged milk were purchased locally. Spectrums were obtained according to milk species origin and binary mixtures prepared in increments of 10% (10, 20, 30, 40, 50, 60, 70, 80 and 90%) for each sample analysed in FTIR spectroscopy. A successful milk species (cow, sheep, and water buffalo) discrimination and classification were achieved utilising Hierarchical cluster and principle component analyses (PCA) on the basis of Euclidean distance and Ward's algorithm. Amide-I (1700–1600/cm) and Amide-II (1565–1520/cm) spectral bands were used in the chemometric method. The results of the study indicated that adulteration of milk samples can be quantitatively detected by the FTIR technique in a short time with high accuracy. In conclusion, this method could be used as a new alternative technique for routine analysis in authenticity control of milk species origin.