Microplastics generation and concentration during mechanical-biological treatment of mixed municipal solid waste.

Mechanical-biological treatment (MBT) is a popular solution for the processing of mixed municipal solid waste (MSW). However, it is assumed that the treatment processes can lead to the generation of microplastics in large quantities and their concentration in the organic output. Organic outputs from MBT as a source of microplastics are still poorly understood. The current article aims to fill this gap and investigate microplastics formation during MBT and their abundance in ready stabilized organic output. Seasonal samples were taken from the four stages of the possible microplastics pathway in MBT to study changes in microplastics numerical and mass concentration, shape and size. Large microplastics were identified by Fourier transform infrared spectroscopy, and small microplastics by Nile Red dye staining method. The results showed that both mechanical pre-treatment and aerobic treatment had a significant impact on microplastics formation, while mechanical post-treatment only resulted in the enrichment of the output with microplastics. Moreover, microplastics became finer during treatment. Microplastics abundance in ready organic output ranged from 8925 ± 1344 particles/kg in winter 2021 to 17407 ± 4319 particles/kg in summer 2020, and up to 160.5 t of microplastics were emitted from the Kaunas MBT treatment facility during the study year. In addition, a relationship between the microplastics abundance and plastic content of the incoming waste was found by a regression analysis. Therefore, to reduce the formation and emission of microplastics by MBT, the organic fraction of MSW should be collected and treated separately.

The organic output from mechanical-biological treatment plants as a source of microplastics: Mini-review on current knowledge, research methodology and future study perspectives.

Plastic pollution is one of the biggest environmental problems facing the world. In recent years, microplastics, polymer particles from 1 µm to 5 mm, have been getting much attention. The presence of microplastics has already been confirmed in aquatic and marine ecosystems, soil, atmosphere, biota, and others. The organic output from mechanical-biological treatment (MBT) plants was added to the list of microplastics sources only recently. However, according to preliminary estimates, it may be the second-largest source of microplastics. This article presents an overview of already published investigations on this microplastics source and explains the supposed pathway of microplastics in the MBT plants. The main waste treatment processes that can affect the amount of microplastics in the organic output have been identified as shredding, sieving and, to a lesser extent, aerobic or anaerobic processing. This mini-review also includes methods used in the scientific literature for microplastics extraction, purification, and identification in organic-rich samples, their advantages and limitations. Particular attention is paid to the methods of identifying the small microplastics, less than 1 mm, since the methods for particles 1-5 mm have been more extensively studied. Furthermore, future research needs are highlighted.

Time-series-based hybrid mathematical modelling method adapted to forecast automotive and medical waste generation: Case study of Lithuania.

The aim of the study was to create a hybrid forecasting method that could produce higher accuracy forecasts than previously used 'pure' time series methods. Mentioned methods were already tested with total automotive waste, hazardous automotive waste, and total medical waste generation, but demonstrated at least a 6% error rate in different cases and efforts were made to decrease it even more. Newly developed hybrid models used a random start generation method to incorporate different time-series advantages and it helped to increase the accuracy of forecasts by 3%-4% in hazardous automotive waste and total medical waste generation cases; the new model did not increase the accuracy of total automotive waste generation forecasts. Developed models' abilities to forecast short- and mid-term forecasts were tested using prediction horizon.

Forecasting medical waste generation using short and extra short datasets: Case study of Lithuania.

The aim of the study is to evaluate the performance of various mathematical modelling methods, while forecasting medical waste generation using Lithuania's annual medical waste data. Only recently has a hazardous waste collection system that includes medical waste been created and therefore the study access to gain large sets of relevant data for its research has been somewhat limited. According to data that was managed to be obtained, it was decided to develop three short and extra short datasets with 20, 10 and 6 observations. Spearman's correlation calculation showed that the influence of independent variables, such as visits at hospitals and other medical institutions, number of children in the region, number of beds in hospital and other medical institutions, average life expectancy and doctor's visits in that region are the most consistent and common in all three datasets. Tests on the performance of artificial neural networks, multiple linear regression, partial least squares, support vector machines and four non-parametric regression methods were conducted on the collected datasets. The best and most promising results were demonstrated by generalised additive (R(2) = 0.90455) in the regional data case, smoothing splines models (R(2) = 0.98584) in the long annual data case and multilayer feedforward artificial neural networks in the short annual data case (R(2) = 0.61103).

Application and evaluation of forecasting methods for municipal solid waste generation in an Eastern-European city.

Forecasting of generation of municipal solid waste (MSW) in developing countries is often a challenging task due to the lack of data and selection of suitable forecasting method. This article aimed to select and evaluate several methods for MSW forecasting in a medium-scaled Eastern European city (Kaunas, Lithuania) with rapidly developing economics, with respect to affluence-related and seasonal impacts. The MSW generation was forecast with respect to the economic activity of the city (regression modelling) and using time series analysis. The modelling based on social-economic indicators (regression implemented in LCA-IWM model) showed particular sensitivity (deviation from actual data in the range from 2.2 to 20.6%) to external factors, such as the synergetic effects of affluence parameters or changes in MSW collection system. For the time series analysis, the combination of autoregressive integrated moving average (ARIMA) and seasonal exponential smoothing (SES) techniques were found to be the most accurate (mean absolute percentage error equalled to 6.5). Time series analysis method was very valuable for forecasting the weekly variation of waste generation data (r (2) > 0.87), but the forecast yearly increase should be verified against the data obtained by regression modelling. The methods and findings of this study may assist the experts, decision-makers and scientists performing forecasts of MSW generation, especially in developing countries.

Potential of energy and nutrient recovery from biodegradable waste by co-treatment in Lithuania.

Biodegradable waste quantities in Lithuania and their potential for the co-treatment in renewable energy and organic fertilizer production were investigated. Two scenarios were formulated to study the differences of the amounts of obtainable energy and fertilizers between different ways of utilization. In the first scenario, only digestion was used, and in the second scenario, materials other than straw were digested, and straw and the solid fraction of sewage sludge digestate were combusted. As a result, the amounts of heat and electricity, as well as the fertilizer amounts in the counties were obtained for both scenarios. Based on this study, the share of renewable energy in Lithuania could be doubled by the co-treatment of different biodegradable materials.

Abundance and characteristics of microplastics in treated organic wastes of Kaunas and Alytus regional waste management centres, Lithuania.

The widespread use of plastic without the sustainable management of the plastic waste has led to its accumulation in the environment. The presence of microplastics even in drinking water and food products is of immense concern. This situation is getting even more complicated due to the limited knowledge about the sources of microplastics and their impact on the environment and human health. This article focuses on a poorly understood but potentially significant source of microplastic-treated organic waste. Quantitative and qualitative analyses of microplastics down to 50 µm in the stabilised organic waste (SOW) output after mixed municipal solid waste (MSW) processing and green and food composts are presented in the article. Nile Red staining and FTIR analysis were adopted for the identification of microplastics. The highest average microplastic abundance was found in the SOW: 17407 ± 1739 particles kg-1 in autumn and 15400 ± 1217 particles kg-1 in winter. Nevertheless, even separately collected treated organic waste contained a significant amount of microplastics. Green compost contained 5733 ± 850 particles kg-1 in autumn and 6433 ± 751 particles kg-1 in winter, while food compost 3783 ± 351 particles kg-1 in autumn and 4066 ± 658 particles kg-1 in winter. Microplastics < 1 mm accounted for 83.8-94.9% of all microplastics, which reflects the need to control not only large but also small microplastics in organic waste fertilisers to prevent soil pollution. The dominant shape of microplastics in compost samples was films, while in the SOW, it was fragments. Based on morphological and FTIR analyses, the majority of microplastics in green and food composts were considered as the residuals of plastic bags and packaging materials.

The strategy for conservation non-renewable natural resources through producing and application solid recovery fuel in the cement industry: a case study for Lithuania.

This pilot study aimed to develop a production line for SRF production from RDF by extracting prohibited materials, grinding, and drying, and the energy potential for using SRF in the cement industry as an alternative fuel was evaluated. This paper defined the main characteristics of RDF, which were obtained after the separation of the biological fraction from MSW at an MBT plant. According to its characteristics, RDF can only be used for incineration in the CPP to obtain heat and energy. The produced SRF meets the requirements for fuel from waste and can be used as an alternative fuel for clinker firing. A technological process line for SRF production from RDF has been developed by adding technical units to the existing MBT line. The SRF production line yield was calculated as 4.47 t/h. At the end of the SRF production process, the moisture content of the finished product decreased by 85%, and the volume decreased by 18%. The obtained SRF had a high calorific value, low moisture content, and a permissible value of chlorine and mercury. It was proposed that the produced SRF and sewage sludge (already used during the clinker firing process) be utilized as alternative fuels since they correspond to the oxide composition of the finished clinker in elemental and oxide composition. A calculation to assess the economic and environmental efficiency of the use of SRF in the cement kiln was conducted. The result showed that using 10% SRF as a substitute fuel for coal used in clinker roasting at 1.92 t/h would save 601.7 USD/h coal costs. This use of SRF will emit 3.7 t/h CO2 and achieve net savings of 754.7 USD/h.

Characterization of residues from physicochemical treatment of waste fluorescent lamps.

Fluorescent lamps are widely used world-wide due to their long life and energy saving capability. These lamps contain mercury (Hg) as a source of fluorescent radiation. The object of this study is a new technology for physicochemical treatment of waste fluorescent lamps. The residuals of the technological process were evaluated for potential leaching of heavy metals into the environment. Evaluation was performed using standardized extraction tests. Additionally, X-ray diffractometry (XRD) analysis, as well as tests with complex-forming agents and under pH-stable conditions were performed aiming to predict stability of the residuals in various environmental conditions. According to the XRD analysis, the minerals fluorapatite and hydroxylapatite were dominant in analyzed samples. The results of total extraction by aqua regia revealed that residuals contain relatively high total concentrations of Hg, Mn, and Zn. Concentrations of heavy metals, leaching to aqueous solution, were compared to leaching limit values (according to EU legislation). The concentrations of available Hg in the waste fluorescent lamp treatment products, according to its solubility in the water, exceed the limit values. The measured water-leachable Hg concentration was 4.88 mg kg(-1), while the value for waste acceptable at hazardous waste landfill sites is 2 mg kg(-1). Concentrations of other measured heavy metals did not exceed the limit values. According to the results, Hg stabilization potential for presented technology exceeds 99%.

Antimicrobial copper nanoparticles synthesized from waste printed circuit boards using advanced chemical technology.

Waste Printed Circuit Boards (WPCBs) were classified as one of the most important resources for urban mining containing high purity Copper (Cu) and other valuable materials. Recently, a dissolution recycling approach enhanced by ultrasonic treatment succeeded in the liberation of Cu foils from WPCBs as received. This research aims to synthesize Copper Nanoparticles (Cu-NPs) from the recovered Cu by using an advanced chemistry approach to obtain nano-product with high added value taking into consideration environmental risks. The experiments were carried out on the Cu foils recovered from the three types of WPCBs with different purity of Cu (Motherboard, Video Card, and Random Access Memory (RAM)). The synthesis process was performed in two stages: (a) preparation of Copper (II) Sulfate aqueous solutions from the recovered Cu and (b) chemical reduction of solutions for synthesis of Cu-NPs by using Native Cyclodextrins (NCDs), particularly ß-NCD as stabilizers. The efficiency of the developed approach for raw material of different purity was assessed and the final yield and the estimated recovery cost of synthesized Cu-NPs were calculated with high accuracy as well as the properties of the synthesized Cu-NPs. The obtained Cu-NPs were examined using SEM-EDS, TEM, XRD, Raman Spectroscopy, and TGA. To maximize the potential biomedical application benefits, the antibacterial activity of Cu-NPs was investigated by the standard microdilution method for E. coli, P. aeruginosa, and S. aureus bacterial cultures. The results showed that the produced Cu-NPs had an average size of 7 nm and yield 90%, while the preparation costs were 6 times lower in comparison to the commercial counterparts. In addition, the results indicated that the synthesized Cu-NPs from RAM sample had a good antimicrobial action.

Predicting CO2 and SO2 emissions in the Baltic States through reorganization of energy infrastructure.

The paper deals with predicting carbon dioxide and sulphur dioxide emissions generated by power production sector in the Baltic States in period up to year 2020. The economies of Lithuania, Latvia and Estonia are rapidly growing therefore forecast of emissions related with this occurrence becomes very important. The Ignalina Nuclear Power Plant (INPP), one of the largest in the world, is situated in the region. Two power production scenarios are modelled to investigate changes in power sector's emissions expected as the consequences of the coming closure of Ignalina NPP. Power market was assumed to be common for all three Baltic countries and was modelled by applying the Balmorel model. The planned closure of Ignalina NPP will bring restructuring of Lithuania power production sector and will change also power transmission between countries. Predictive identified the potential of investments for new modern power generation technologies. At the same time, modelling results show in both scenarios that CO(2) and SO(2) emissions from power production in the Baltic region will increase. The increment of emissions is discussed in the context of meeting requirements of UNFCCC Kyoto protocol and EC Directives. Despite of CO(2) emissions increase the Kyoto protocol's requirements may be expected. At the same time, SO(2) formation in Lithuania power sector may exceed the limits of the EU Council Directive 2001/80/EB therefore the additional measures to control SO(2) emissions have to be investigated.

Spectroscopic and structural investigations of iron(III) isothiocyanates. A comparative theoretical and experimental study.

A combined experimental and theoretical study on the molecular structure and vibrational spectra of [Fe(NCS)](2+) complex in the aqueous solution at the pH∼2 ± 0.1 have been performed. Experimental Raman spectra of the iron(III) isothiocyanate with higher coordination number in the acidic aqueous solution have been analyzed. Molecular modeling of the iron(III) monoisothiocyanate complex was accomplished by the density functional theory (DFT) method using B3LYP and PBE1PBE functionals. Theoretical vibrational spectra of the iron(III) monoisothiocyanate were interpreted by means of the potential energy distributions (PEDs). The influence of different solvation models and position of SO4(2)(-) ligand vs. NCS(-) ligand upon its geometry and vibrational frequencies have been evaluated. The effect of H2O/D2O isotopic substitution on the experimental and calculated Raman spectra of iron(III) isothiocyanates has been examined. Procedures of Raman spectra subtraction have been applied for the extractions of weak and/or obscured Raman signals. As a result, the presence of bound SO4(2)(-) ion and water molecules in the first coordination sphere in the acidic aqueous iron(III) isothiocyanate solution was confirmed. The vibrational assignments for the investigated iron(III) isothiocyanates were proposed here for the first time.

Molecular structure of mercury(II) thiocyanate complexes based on DFT calculations and experimental UV-electron spectroscopy and Raman studies.

In this work, we report a combined experimental and theoretical study on molecular structure, vibrational and electronic spectra of [Hg(SCN)n](2-)(n) complexes (where n=2, 3, 4) in the aqueous solution. Molecular modeling of the mercury(II) complexes were done by the density functional theory (DFT) method using B3LYP functional with Stuttgart relativistic ECP 78MWB basis set for Hg and 6-311++G(d,p) basis set for all other atoms. The effect of different solvation models with explicit (ligand) and/or implicit water environment upon its geometry, vibrational frequencies and UV spectrum have been studied. The influence of H2O/D2O exchange on the experimental and calculated vibrational frequencies of studied complexes has been established. The double-peak character of the νHgS vibrational mode of the all analyzed mercury complexes and νCN mode of [Hg(SCN)3H2O](-) complex, respectively, were proposed here for the first time. The formation of four-coordinated Hg(II) complexes with thiocyanate and (or) water ligands was verified.

Report: environmental assessment of Darmstadt (Germany) municipal waste incineration plant.

The focus of this study was the emissions from waste incineration plants using Darmstadt (Germany) waste incineration plant as an example. In the study the emissions generated by incineration of the waste were considered using three different approaches. Initially the emissions from the waste incineration plant were assessed as part of the impact of waste management systems on the environment by using a Municipal Solid Waste Management System (MSWMS) assessment tool (also called: LCA-IWM assessment tool). This was followed by a comparison between the optimal waste incineration process and the real situation. Finally a comparison was made between the emissions from the incineration plant and the emissions from a vehicle.

An assessment of the current and future options for domestic waste management in Kaunas, Lithuania.

The main purpose of this study was to carry out a retrospective analysis of solid waste generation in Kaunas city from 1994 to 2003 and to calculate the theoretical waste generation in the future. This paper also presents measurements of the annual variations of waste amounts and calculations on a theoretical waste incineration facility. Two waste treatment scenarios were considered. Scenario A: waste deposit at the landfill with 'implementation of domestic waste separation and recycling'. Scenario B: waste removal to a landfill with 'multi-treatment: household separation, recycling and energetic recovery'. Three levels of waste treatment were proposed. The first level was implementation of the recycling system, which included household waste separation. The next step involved mechanical-biological treatment. The third level was the construction and operation of a new waste incineration plant in Kaunas. Two sites in Kaunas city were proposed; however, more detailed analysis, including the economic factors, will need to be done.