Forecasting municipal solid waste generation using prognostic tools and regression analysis.

For an adequate planning of waste management systems the accurate forecast of waste generation is an essential step, since various factors can affect waste trends. The application of predictive and prognosis models are useful tools, as reliable support for decision making processes. In this paper some indicators such as: number of residents, population age, urban life expectancy, total municipal solid waste were used as input variables in prognostic models in order to predict the amount of solid waste fractions. We applied Waste Prognostic Tool, regression analysis and time series analysis to forecast municipal solid waste generation and composition by considering the Iasi Romania case study. Regression equations were determined for six solid waste fractions (paper, plastic, metal, glass, biodegradable and other waste). Accuracy Measures were calculated and the results showed that S-curve trend model is the most suitable for municipal solid waste (MSW) prediction.

Development and Characterization of New Plant-Based Ice Cream Assortments Using Oleogels as Fat Source.

The objective of this study was to develop candelilla wax oleogels with hemp seed oil and olive oil and use them as a fat source in the development of new plant-based ice cream assortments. Oleogels were structured with 3 and 9% candelilla wax and characterized by oil-binding capacity, peroxide value and color parameters. The oil-binding capacities of 9% wax oleogels were significantly higher than those of 3% wax oleogels, while peroxide values of oleogels decrease with increasing wax dosage. All oleogel samples are yellow-green due to the pigments present in the oils and candelilla wax. Physicochemical (pH, titratable acidity, soluble solids, fat, protein) and rheological (viscosity and viscoelastic modulus) parameters of plant-based ice cream mixes with oleogels were determined. Also, sensory attributes and texture parameters were investigated. The results showed that titratable acidity and fat content of plant-based ice cream samples increased with increasing wax percentage, while pH, soluble solids and protein values are more influenced by the type of plant milk used. The plant-based ice cream sample with spelt milk, hemp oil and 9% candelilla wax received the highest overall acceptability score. The hardness of the plant-based ice cream samples increased as the percentage of candelilla wax added increased.

Life cycle assessment of sheep cheese production in a small dairy factory from Romanian rural area.

The paper aims to analyse the life cycle of sheep milk cheese production, to investigate supply chain of cheese and to suggest improvements for minimizing the environmental impacts associated with this agri-food product. The functional unit chosen was 1 kg of sheep milk cheese. Modelling of the production process was performed based on real data obtained from a cheese production company in Romania. Two methods (CML and ReCiPe), included in GaBi software, were used for the environmental impact assessment. The following impacts: abiotic depletion potential elements, acidification potential, eutrophication potential, global warming potential, human toxicity potential (included in CML method) and climate change, fossil depletion, freshwater eutrophication, particulate matter formation, photochemical oxidant formation, terrestrial acidification (included in ReCiPe method), were calculated. Results highlighted that energy production and diesel consumption are the main activities which contribute to the environmental impacts associated with cheese product. Emissions from diesel production and consumption contribute to global warming potential with 11.70% and 82.36%, respectively. Wastewater treatment mainly contributes to freshwater eutrophication with 43.58%, followed by raw milk production (37.52%), diesel production (12.34%) and others. The results of this study showed that the values for most impact categories decrease when the energy is obtained by renewable sources compared to the energy produced by conventional procedures. It was concluded that, in order to reduce the environmental impacts associated with sheep cheese production, the energy used in the process needs to be more environmentally friendly.

Physico-Chemical, Textural and Sensory Evaluation of Emulsion Gel Formulated with By-Products from the Vegetable Oil Industry.

The aim of this study was to obtain low fat mayonnaise-like emulsion gels using sesame cake and walnut cake by-products resulting from vegetable oil extraction. The ingredients used to formulate the mayonnaise like emulsion gel samples were corn starch, sesame seed cake (SSC), walnuts seed cake (WSC), lemon juice, sunflower oil, mustard, sugar, salt, gelatin and water. Five different samples were prepared: one control lab sample (M) containing only corn starch and the other ingredients (without SSC and WSC), two samples (SO1 and SO2) with 2 and 4% of SSC (without corn starch and WSC) and two samples (WO1 and WO2) with 2 and 4% of WSC (without corn starch and SSC). Also, an egg-free commercial mayonnaise (CM) was purchased and used for comparison. Physicochemical (fat, protein, moisture, ash, carbohydrate, water activity, emulsion stability, viscosity, density and color), textural (hardness, adhesiveness, springiness, cohesiveness, gumminess and chewiness), and sensory (aspect, color, texture/firmness, flavor, taste and acceptability) attributes of all samples were investigated. The results showed that carbohydrate content decreased in all four seed cakes samples compared to the control sample, while protein and fat content increased in all seed cakes samples, with the largest increases observed in the sesame seed cake samples. It was observed that the CM sample has a carbohydrate content value close to that obtained for the M sample, while the protein content has the lowest value for the CM sample compared to all samples analyzed. The stability of the emulsion gels increased from 70.73% (control sample) to 83.64% for the sample with 2% addition sesame seed cake and to 84.09% for the 2% walnut cake added, due to the coagulation capacity of the added cakes. The type and concentration of oil seeds cake added in emulsion gels affected their textural properties such as hardness, adhesiveness, gumminess, and chewiness. The hardness and adhesiveness of low-fat mayonnaise-like emulsion gels samples decreased with the addition of oil seeds cake. However, the addition of by-products improved the sensory properties of emulsion gels. This study provided a theoretical basis for the food industry's application of oilseed cakes, especially for the development of low-fat mayonnaise.

Effects of Ginger and Garlic Powders on the Physicochemical and Microbiological Characteristics of Fruit Juices during Storage.

Natural preservatives such as garlic and ginger can be added to the formulation of fresh fruit juices to encourage the consumption of health-promoting foods. In this study, the influence of garlic and ginger and the storage conditions on physicochemical and microbiological characteristics of fruit juices were investigated. The fruit juice assortments were produced from apple, apple and pumpkin, and apple and pomegranate and were treated with 0.5 g garlic powder, 0.5 g ginger powder, and 0.25 g mix of garlic and ginger powders. A total of 12 unpasteurized samples were produced, of which 3 were control samples. Samples stored at 20 and 4 °C were analyzed at 0, 3, 6, and 9 days for water activity (aw), pH, titratable acidity (TA), total soluble solids (TSS), electrical conductivity (EC), vitamin C, color parameters, total number of germs, yeasts, and molds, Listeria, Enterobacteriaceae, and Escherichia coli. Results showed that aw, pH, TSS, and vitamin C content decreased during storage of fruit juice samples, while TA increased. The lowest increase in total number of aerobic mesophilic germs was determined for the apple and pumpkin juice with garlic and ginger and apple juice with garlic.

Development of a model for food waste composting.

Worldwide, large amounts of food are wasted every year. Reducing of food waste at European level is taken very seriously and it has been adopted even a target of reducing the amount of food waste in half until 2030. In many countries of the European Union, food wastes are composted, while in countries like Romania, the composting is too little used or not at all, but efforts are being made to apply this process. Food waste composting should take place both at the composting plants and housing level. An important step before starting the composting process is to establish an appropriate recipe. Therefore, the aim of this paper is to develop a composting recipe starting from investigation of food waste like peel and pomace of fruits (apple, banana, orange, and kiwi) and vegetables (potato, cabbage, and carrots) which are very common in waste generated at the housing level. The most important physical-chemical parameters were investigated in this study. Results show that pH of fruit waste is acid (4.0-5.0), while for vegetable waste, the pH is slightly higher (between 6.0 and 6.5). For all types of food waste, a very high moisture content (80-90%) was registered, while the nitrogen content is below 1%. Considering that C/N ratio is one of the most essential parameters, for the process to be carried out in good conditions, we have used regression analysis in order to determine the amounts of fruits and vegetable waste necessary to obtain different C/N ratios.