Multi-criteria assessment of the viability of valorising vegetable by-products from the distribution as secondary raw material for animal feed.

Approximately 33% of food produced around the world is wasted. In the distribution sector, erroneous orders or demand predictions result in products that cannot be sold before the expiration date. Despite its enormous potential, a low percentage of this food wastage is valorised causing negative social, economic and environmental impacts. Vegetable food waste has potential as raw material for animal feed. However, the profitability of its valorisation depends on several key factors and there is a risk of underestimating any of them making this valorisation technically, economically or environmentally unfeasible. Moreover, the geographical dispersion requires selecting the appropriate location for the processing plant and optimising the logistics routes to collect and transport them from the origin points to the processing plant. GISWASTE tool, which combines Analytic Hierarchy Process (AHP) method with ArcGIS, has been used to simulate the viability of this valorisation alternative from a holistic point of view. In addition, a sensitivity analysis in the economic modelling has been carried out to determine the economic viability factors with more influence in the global profitability. The valorisation of vegetable food waste from distribution and retailing sector for animal feed has been considered feasible in the case study region: Basque Country (Spain). However, there are some economic uncertainties for the return of the investment. The variable with more influence over the profitability is by far the incomes from waste management (81.4%).

Spent Coffee Grounds Alter Bacterial Communities in Latxa Dairy Ewes.

Antimicrobial and antioxidant properties of spent coffee grounds (SCG) make them a potential ingredient in a diet for ruminants. This study investigated the effects of SCG on rumen microbiota. For 51 days, 36 dairy ewes were assigned to the experimental treatments (0, 30, 50, and 100 g SCG/kg). Ruminal samples were collected on day 50. DNA was extracted and subjected to paired-end Illumina sequencing of the V3-V4 hypervariable region of the 16S rRNA genes. Bioinformatic analyses were performed using QIIME (v.1.9.0). SCG increased dose-dependently bacterial diversity and altered bacterial structure. Further, 60, 78, and 449 operational taxonomic unit (OUT) were different between control and 30, 50 and 100 g/kg SCG groups, respectively. Higher differences were observed between the control and 100 g/kg SCG group, where OTU of the genera Treponema, CF231, Butyrivibrio, BF331, Anaeroplasma, Blautia, Fibrobacter, and Clostridium were enriched with SCG. Correlations between volatile fatty acids (VFA) and bacterial taxa were sparser in the SCG groups and had little overlap. Certain bacterial taxa presented different signs of the correlation with VFA in SCG and control groups, but Butyrivibrio and Blautia consistently correlated with branched-chain VFA in all groups. SCG induced shifts in the ruminal bacterial community and altered the correlation networks among bacterial taxa and ruminal VFA.