Natural Deep Eutectic Solvents (NADES) represent a green chemistry alternative to utilization of common hazardous organic solvents. They were introduced by Abbott et al. [1], and were found to have a wide range of compositions and favorable properties. NADES are typically obtained by mixing hydrogen-bond acceptors (HBA), with hydrogen bond donors (HBD), leading to a significant depression of the melting point. The availability of components, simple preparation, biodegradability, safety, re usability and low cost are the significant advantages that call for research on their analytical applications. Three methods are most commonly used for preparing NADES: a) heating and stirring: the mixture until a clear liquid is formed; b) evaporating solvent from components solution with a rotatory evaporator; c) freeze drying of aqueous solutions.The common solvents for the extraction of anthocyanins are acidified mixtures of water with ethanol, methanol, or acetone. The anthocyanins extracts are susceptible to degradation due to high temperature, and the solvent properties (e.g. high pH) and the whole process can often be time-consuming. Extraction of anthocyanins from red cabbage by four NADES was investigated. It was demonstrated that NADES have comparable extraction efficiencies with conventional method with 0.1 M water solution of HCl. This indicates a possibility of utilization the Green chemistry extraction processes as a promising new green-extraction technology with low cost efficiency and environment friendly technology for production of safe food additives.
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Standard SARS-CoV-2 testing protocols using nasopharyngeal/throat (NP/T) swabs are invasive and require trained medical staff for reliable sampling. In addition, it has been shown that PCR is more sensitive as compared to antigen-based tests. Here we describe the analytical and clinical evaluation of our in-house RNA extraction-free saliva-based molecular assay for the detection of SARS-CoV-2. Analytical sensitivity of the test was equal to the sensitivity obtained in other Dutch diagnostic laboratories that process NP/T swabs. In this study, 955 individuals participated and provided NP/T swabs for routine molecular analysis (with RNA extraction) and saliva for comparison. Our RT-qPCR resulted in a sensitivity of 82,86% and a specificity of 98,94% compared to the gold standard. A false-negative ratio of 1,9% was found. The SARS-CoV-2 detection workflow described here enables easy, economical, and reliable saliva processing, useful for repeated testing of individuals.
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BACKGROUND: Sour cherry (Prunus cerasus L.) stones are the major byproduct of the cherry industry and the efficient management of this biowaste can lead to achieving the food processing sustainability aimed at by the modern food industry. Despite its significant content of lipids, the valorization of cherry stone waste as feedstock for lipid extraction appears to be limited due to the high moisture content. This study explores the primary factors that affect the yield of lipid extraction using Soxhlet, Randall and supercritical carbon dioxide (scCO2) extraction methods, with a particular emphasis on yield optimization for green extraction technologies (scCO2). RESULTS: The investigation revealed an increased lipid extraction yield for scCO2 from 7.4 for dry crushed stones to 20.6 g per 100 g dry weight when the cherry kernels are separated. The high initial moisture content affected all three extraction methods, but mostly impacted the scCO2 extraction, resulting in the co-extraction of an aqueous phase. Lipid and aqueous yield could be manipulated by time, temperature and pressure. However, no observable influence on the composition of fatty acid methyl esters was detected. CONCLUSION: Numerous approaches are shown to enhance the lipid yield from cherry stone waste, depending on the desired outcome. When dealing with wet samples, Randall extraction proves to be the most effective method. On the other hand, scCO2 extraction presents distinct advantages, such as the extraction of food-grade lipids and the co-extraction of a unique aqueous phase, which comes at the expense of a reduced lipid yield. © 2024 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
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The increasing interest in Aronia melanocarpa berries for their antioxidant properties sets the necessity to define sustainable strategies to valorize the by-products. This study investigates the use of supercritical carbon dioxide (scCO2) extraction, with and without ethanol as a co-solvent, for recovering lipophilic and phenolic compounds from aronia pomace. Extractions were performed at 20, 30, and 40 MPa and temperatures of 50, 70, and 90 °C. A yield of about 2.7 g per 100 g of dried pomace was obtained at 40 MPa and 90 °C. However, the highest total phenolic content of about 165 mg of gallic acid equivalent per 100 g of dried pomace was achieved with 5 % ethanol co-solvent at 50 °C and 30 MPa. The lipid extracts were rich in linoleic acid and the wax portion increased under low-density scCO2 conditions. A feedforward neural network was developed to model extraction kinetics and predict yield as a function of temperature, pressure, and time, demonstrating high predictive accuracy. These findings highlight scCO2 extraction as a viable route for the efficient and selective recovery of valuable bioactives from aronia pomace, contributing to a circular bioeconomy.
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Using either freshly pulped or preserved seaweed biomass for the extraction of protein can have a great effect on the amount of protein that can be extracted. In this study, the effect of four preservation techniques (frozen, freeze-dried, and air-dried at 40 and 70 °C) on the protein extractability, measured as Kjeldahl nitrogen, of four seaweed species, Chondrus crispus (Rhodophyceae), Ascophyllum nodosum, Saccharina latissima (both Phaeophyceae) and Ulva lactuca (Chlorophyceae), was tested and compared with extracting freshly pulped biomass. The effect of preservation is species dependent: in all four seaweed species, a differenttreatment resulted in the highest protein extractability. The pellet (i.e., the non-dissolved biomass after extraction) was also analyzed as in most cases the largest part of the initial protein ended up in the pellet and not in the supernatant. Of the four species tested, freeze-dried A. nodosum yielded the highest overall protein extractability of 59.6% with a significantly increased protein content compared with the sample before extraction. For C. crispus extracting biomass air-dried at 40 °C gave the best results with a protein extractability of 50.4%. Preservation had little effect on the protein extraction for S. latissima; only air-drying at 70 °C decreased the yield significantly. Over 70% of the initial protein ended up in the pellet for all U. lactuca extractions while increasing the protein content significantly. Extracting freshly pulped U. lactuca resulted in a 78% increase in protein content in the pellet while still containing 84.5% of the total initial total protein. These results show the importance of the right choice when selecting a preservation method and seaweed species for protein extraction. Besides the extracted protein fraction, the remainingpellet also has the potential as a source with an increased protein content.
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To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
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Overcoming Challenges in local green H2 economies Organizer: Dr Beata Kviatek, Jean Monnet Chair in Sustainable EU Economy, Centre of Expertise Energy / International Business School / Hanze University of Applied Sciences Groningen, the Netherlands One of the main pathways of the current energy transition includes development of regional green hydrogen economy, usually based in the so-called hydrogen valleys. The development of regional green hydrogen economies enables to green up regional industry and mobility, brings new business opportunities for local and regional businesses, redirects regional investments and financial streams, and proposes new avenues for regional education, knowledge, and research institutions. However, the complexity of regional transformation towards green hydrogen economy, poses challenges that require a close cooperation between different local and regional stakeholders at multiple levels, including national and European. What are these challenges in developing regional green hydrogen economies here, in the northern part of the Netherlands, and in other regions of Europe and what are the new pathways to overcome challenges in regional green hydrogen economies? – is the main question of the proposed panel discussion that will involve academics, policy makers, and practitioners from the northern part of the Netherlands as well as some European regions.
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Environmental or ‘green' education is an important driving force behind the ‘greening' of society as it plays a critical role in raising environmental awareness and preparing students for green jobs. None of the existing environmental attitudes and behavior measures is focused on the evaluation of green education, especially in relation to consumption. To date, no longitudinal studies of children and students' attitudes towards consumption influenced by education exist. Also, little has been done to explore the socio-cultural context in which attitudes toward consumption are being formed and to explain the cross-cultural differences in environmental attitudes. This pilot study is designed to take the first step towards developing methods complementing existing quantitative measurements with qualitative strategies, such as consumption diaries, focus groups, and concept mapping. While this research is just a first attempt to tackle children's knowledge and attitudes consumption, preliminary results of the research on which this chapter is based and enthusiasm of the research participants encourage the author to stress the importance of consumption studies as part of green education for educational program developers. As a chapter of this volume, the author hopes that this study will add to the anthropological depository of research on the cultural variants in the perception of the environment in children. This chapter draws upon the consumption diaries collected from the upper-elementary school children in Amsterdam, The Netherlands, between September 2009 and May 2010. Consumption diaries are chronological documents recording purchase, use, and waste of materials, which can be used both as analytical tools and the means to stimulate environmental awareness. The four main methodological steps involved in this research were as follows. Children were asked to complete the consumption diary, paying specific attention to use and waste materials. Consequently, focus group meetings were held with parents and their children to discuss the diaries. Finally, interviews with the children were conducted in order to generate statements that supplement those generated by focus groups for carrying out the concept mapping analysis. The concept mapping analysis was then conducted to organize the order and analyze the ideas expressed in the focus group and interview sessions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in "Environmental Anthropology Today" on 8/5/11 available online: https://doi.org/10.4324/9780203806906 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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This article proposes that identity formation and reformation are important dynamics that influence and are influenced by the course of a sustainability transition. We study identity (re-)formation in the transition of the dairy sector in a rural area in the Netherlands: the Green Heart. Soil subsidence, high emissions, and economic pressures require substantial changes in practices in the dairy sector and most importantly, the landscape that it is intertwined with. We use narrative analysis to study identity (re-)formation in two new stakeholder collectives that aim to address sustainability in the area. We identify discrepancies between the narratives in these collectives and the transition challenge. These discrepancies can be explained by the role that the landscape of the Green Heart plays in the identity (re-)formation within these collectives. The attachment to the current landscape forms a lock-in for the sustainability transition in this area.
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