Minimal Processing Research Articles

Matched three-dimensional organoids and two-dimensional cell lines of melanoma brain metastases mirror response to targeted molecular therapy

Despite advances in the treatment paradigm for patients with metastatic melanoma, melanoma brain metastasis (MBM) continues to represent a significant treatment challenge. The study of MBM is limited, in part, by shortcomings in existing preclinical models. Surgically eXplanted Organoids (SXOs) are ex vivo, three-dimensional cultures prepared from primary tissue samples with minimal processing that recapitulate genotypic and phenotypic features of parent tumors without an artificial extracellular scaffold. MBM SXOs were created by a novel protocol incorporating techniques for establishing glioma and cutaneous melanoma organoids. A BRAFV600K-mutant and BRAF-wildtype MBM sample were collected directly from the operating room. Organoids were cultured in an optimized culture medium without an artificial extracellular scaffold. Concurrently, matched patient-derived cell lines were created. Organoid growth was observed within 3–4 weeks, and MBM SXOs retained histological features of the parent tissue, including pleomorphic epithelioid cells with abundant cytoplasm, large nuclei, focal melanin accumulation, and strong SOX10 positivity. After sufficient growth, organoids could be manually parcellated to increase the number of replicates. Matched SXOs and cell lines demonstrated sensitivity to BRAF and MEK inhibitors. Further study using SXOs may improve the translational relevance of preclinical studies and enable the study of the metastatic melanoma tumor microenvironment.

GraphPPL.jl: A Probabilistic Programming Language for Graphical Models

This paper presents GraphPPL.jl, a novel probabilistic programming language designed for graphical models. GraphPPL.jl uniquely represents probabilistic models as factor graphs. A notable feature of GraphPPL.jl is its model nesting capability, which facilitates the creation of modular graphical models and significantly simplifies the development of large (hierarchical) graphical models. Furthermore, GraphPPL.jl offers a plugin system to incorporate inference-specific information into the graph, allowing integration with various well-known inference engines. To demonstrate this, GraphPPL.jl includes a flexible plugin to define a Constrained Bethe Free Energy minimization process, also known as variational inference. In particular, the Constrained Bethe Free Energy defined by GraphPPL.jl serves as a potential inference framework for numerous well-known inference backends, making it a versatile tool for diverse applications. This paper details the design and implementation of GraphPPL.jl, highlighting its power, expressiveness, and user-friendliness. It also emphasizes the clear separation between model definition and inference while providing developers with extensibility and customization options. This establishes GraphPPL.jl as a high-level user interface language that allows users to create complex graphical models without being burdened with the complexity of inference while allowing backend developers to easily adopt GraphPPL.jl as their frontend language.

Biosensor Based on the Immobilization of Laccase on β-Cyclodextrin Membrane for the Evaluation of Antioxidant Capacity in Real Samples.

The optimization of a new amperometric biosensor for evaluating antioxidant capacity in real samples is reported. The biosensor is based on the immobilization of Laccase from Trametes versicolor on an electropolymerized β-cyclodextrin polymeric membrane on a glassy carbon electrode. The process of electropolymerization, which was successful even in the presence of the enzyme, was a key step in biosensor synthesis. Variables such as pH, temperature, and enzyme concentration were optimized using a factorial design with two levels for each factor. Different electrodes were constructed and tested using caffeic acid as a standard. The best biosensor is synthesized at pH 3.0 with 6 mg/mL of enzyme and 30 °C. The biosensor presented a response time of ≤30 seconds and good stability in its amperometric response. The biosensor was used to evaluate the antioxidant capacity of real samples. Infusions of green, black, red, and white tea were assessed. The biosensor showed excellent stability and good performance regarding response time, stability, and easy fabrication. The proposed biosensor is a good option for evaluating antioxidant capacity in real samples without sample pretreatment. It combines a simple fabrication methodology and a minimal extraction process for rapid and reliable phenolic content determination in real samples.

Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems

Optimization algorithms are essential tools used to address real-world problems through minimization or maximization processes. In the context of photovoltaic (PV) systems, various optimization algorithms have been employed to extract solar cell parameters using minimization techniques, and to identify the maximum power point (MPP) using maximization approaches. However, under partial shading conditions or during rapidly changing irradiance, many of these algorithms tend to get trapped in local minima, failing to locate the global maximum power point (GMPPT). This shortcoming leads to significant energy losses from PV cells. Similarly, the extraction of solar cell parameters is often compromised by the random search behavior and inadequate exploration and exploitation capabilities of many existing algorithms. The Jellyfish Search Optimization (JSO) algorithm is a recent, parameter-free method developed to tackle a wide range of optimization problems. Despite its innovative design, JSO is prone to premature convergence and exhibits a longer convergence time. To address these limitations, this paper proposes a modified version of the JSO algorithm, which integrates the state-of-the-art features of JSO with the Lévy flight characteristic from the cuckoo search algorithm. This combination aims to achieve a better balance between exploration and exploitation. To validate the effectiveness of the proposed Improved Jellyfish Search Optimization (IJSO) algorithm in PV systems, extensive experiments were conducted. These experiments included benchmarking with complex test functions, extracting cell parameters using various solar cell models, and maximizing energy output from PV systems under different environmental conditions. The results demonstrate that the proposed IJSO algorithm effectively enhances parameter extraction and global maximum power point tracking, making it a promising solution for optimizing energy extraction from PV cells in dynamic conditions.

Impact of Ultra-Processed Foods on Food Sustainability: Exposure Assessment and Health Implications.

Excessive consumption of ultra-processed food (UPF) is a global health concern as-sociated with an increased incidence of non-communicable diseases. UPFs are characterized by their extensive industrial processing and high content of additives, preservatives, chemicals, and artificial ingredients that are used to mask defects or inferior ingredients of end food products, presenting a multifaceted challenge to contemporary society. Exposure assessment showed that almost 50% to 30% of the energy consumption per day comes from UPFs. The more processed a food is, the less likely it is to be healthy and nutritious. UPFs affect human health by increasing the risk of obesity, heart disease, cancer, depression, diabetes, etc., as these foods are typically made up of a large number of preservatives, high content of fats, sodium, and sugars, and low contents of protein, fiber, and potassium. The ingredients required for the production of UPFs are commonly derived from intensive monoculture and livestock of raw foods. This, in turn, exerts imminent effects on agriculture, biodiversity, and the global food system by altering the bioavailability of nutrients within agricultural soil, thereby increasing the dependency on ferti-lizers and insecticides. Recent studies have shown that over-consumption of UPF has an effect on culinary traditions, loss of biodiversity, human well-being, and food system sustainability. Therefore, for better food system sustainability, the consumption of UPFs should be reduced, and we should move toward minimal processing technologies, preferably for seasonal and or-ganic local products. Based on available data, there is an urgent need to implement policies and regulations for the agro-food industry to include nutritional and environmental criteria. This review explains the different dimensions of UPFs in relation to health, nutrition, environment, current challenges, future innovations, and wider sustainability concerns.

Oxidative Release of Natural Glycans: Unraveling the Mechanism for Rapid N-Glycan Glycomics Analysis.

N-glycosylation is a critical post-translational modification involved in various biosynthetic pathways and disease mechanisms. In this study, we present an optimized oxidative release of natural glycans (ORNG) method using household bleach that enables the rapid and efficient release of N-glycans from biological samples. We thoroughly investigated the ORNG mechanism, identifying key intermediates and side products and providing valuable insights into the oxidative release process. The method is highly efficient, releasing a wide range of N-glycans, including high-mannose, hybrid, and complex structures, with minimal sample processing. Our ORNG-based specific N-glycan profiling approach has demonstrated high sensitivity and efficiency, particularly in releasing N-glycans resistant to enzymatic digestion, such as core α3-fucosylated N-glycans from soy protein. Validation through mass spectrometry confirmed the method's ability to accurately profile N-glycans from complex biological samples, including human serum, with results comparable to traditional PNGase F digestion. The ORNG-based method's scalability, versatility, and use of low-cost reagents make it especially suited for large-scale glycomics studies. Furthermore, the mass spectrometry data revealed that the ORNG-based method achieves high sensitivity and specificity, positioning it as a robust alternative for comprehensive glycan profiling and functional studies. Our findings highlight ORNG's potential to advance N-glycomics, offering promising improvements in speed, efficiency, and breadth of glycan analysis.

Revolutionizing Food Quality and Safety: Recent Advances in Clean-Label Technology

The rising incidence of foodborne illnesses and scandals, coupled with heightened consumer awareness of the negative impacts of artificial ingredients, has driven a significant shift toward clean label products—foods defined by simple, recognizable ingredients and minimal processing. This review provides a comprehensive analysis of clean label technology, exploring its historical evolution, key definitions, applications, and current market trends. It also examines consumer behavior toward clean label products and the marketing strategies employed by brands to foster transparency. Drawing on 61 peer-reviewed references published between 2020 and 2024, this narrative review integrates findings from academic research and industry reports to offer a holistic perspective on clean label practices. Key challenges hindering the implementation of clean label technologies, such as the effectiveness of natural preservatives, the impact of ingredient removal on sensory qualities, and the financial implications of transitioning to clean label practices, are discussed. The findings underscore the necessity for the food industry to address these challenges to ensure the sustained growth of the clean label movement, aligning with consumer preferences for healthier and more transparent food options.

A STATE OF ART AND PROSPECTS OF FLY ASH MANAGEMENT

The basic data on the volume of formation and composition of fly ash, which is a product of coal combustion at thermal power stations, are given. The analysis of the current state of ways of managing fly ash makes it possible to distinguish the following main directions: physical-mechanical, physical-chemical, biological and combined methods of handling it, which are used in agriculture (use as fertilizers and pesticides; chemical land reclamation: regulation of the structure and pH of the soil); during earthworks (reinforcement of weak and expansive soils, use as tamponage compositions, arrangement of embankments and dams); road construction (strengthening of the soil for the lower layers of the road surface; production of asphalt, cement-concrete mixtures for arranging the foundations of road clothing, as well as crushed stone-sand and gravel-sand mixtures reinforced with cement); building materials industry (cement, concrete, building solutions, geopolymers, bricks, building blocks, glass, glass ceramics, building ceramics, porous ceramics, rolled waterproofing materials); in protective coatings (paints, enamels, enamel glass, shotcrete, heat-protective and heat-insulating coatings); as sorbents and catalysts and their carriers; in mechanical engineering (abrasive, frictional, filtering and lubricating materials, materials for soldering, foundry sand forms or rods); as other materials (pigments, polymer composites, elements of chemical sources of electric current, accumulators of certain substances, carbon nanoparticles (fullerenes, nanotubes), cosmetics and hygiene products); in pyrometallurgical and hydrometallurgical methods of recovery of chemical elements; in alloys and metal matrix composites; for extracting rare earth elements. Currently, the most appropriate methods of disposal of fly ash are either its direct use with a minimal change in its properties, or its use with minimal processing and minimization of the formation of new waste, in particular in the building materials industry and road construction. Bibl. 164, Fig. 3.

Templated Pluripotent Stem Cell Differentiation via Substratum-Guided Artificial Signaling.

The emerging field of synthetic morphogenesis implements synthetic biology tools to investigate the minimal cellular processes sufficient for orchestrating key developmental events. As the field continues to grow, there is a need for new tools that enable scientists to uncover nuances in the molecular mechanisms driving cell fate patterning that emerge during morphogenesis. Here, we present a platform that combines cell engineering with biomaterial design to potentiate artificial signaling in pluripotent stem cells (PSCs). This platform, referred to as PSC-MATRIX, extends the use of programmable biomaterials to PSCs competent to activate morphogen production through orthogonal signaling, giving rise to the opportunity to probe developmental events by initiating morphogenetic programs in a spatially constrained manner through non-native signaling channels. We show that the PSC-MATRIX platform enables temporal and spatial control of transgene expression in response to bulk, soluble inputs in synthetic Notch (synNotch)-engineered human PSCs for an extended culture of up to 11 days. Furthermore, we used PSC-MATRIX to regulate multiple differentiation events via material-mediated artificial signaling in engineered PSCs using the orthogonal ligand green fluorescent protein, highlighting the potential of this platform for probing and guiding fate acquisition. Overall, this platform offers a synthetic approach to interrogate the molecular mechanisms driving PSC differentiation that could be applied to a variety of differentiation protocols.

Special Issue: ‘Advanced Studies in Maintaining Post-Harvest Quality of Fruits and Vegetables’

The characteristics of taste, flavor, nutrition, and safety in fruits and vegetables during post-harvest, minimal processing, fresh-cutting, fermenting, and processing are critical elements in the storage and sale of products [...]

Current status of technological advancement of ultrasound processing in the food industry and its SWOT analysis.

The use of conventional food processing techniques has almost vanished due to increase in demand with respect to time, thus opening new avenues for emerging technologies. Ultrasound (US) is a rapid, multifaceted, promising, and noninvasive green technology. It has attracted the attention of both industrial experts and scientists for its probable use in food processing and preservation. Using US, fully reproducible food processes can be accomplished in seconds or minutes with increased reliability, minimal processing cost, streamlined manipulation, elevated clarity to the end product, and expending only a fragment of the time and energy commonly required by conventional processes.This review emphasizes on the applications of ultrasound in different food sectors along with its certain limitations. Several operations such as microbial inactivation, enzyme inactivation, extraction, emulsification and fractionation in dairy industries, thermo-sonication in fruit juices have been discussed in detail. The US extracted dietary fiber consisted of increased amount of dietary fiber and trace elements in comparison to alkaline method. US initiate rapid creaming of milk fat, decreasing flavor loss and energy requirements thus enhancing the quality of end product. SWOT analysis has been carried out to pinpoint the strengths, weaknesses, opportunities and threats of sonication in various food industries.

The Potential of Thymus serpyllum Essential Oil as an Antibacterial Agent against Pseudomonas aeruginosa in the Preservation of Sous Vide Red Deer Meat.

Foodborne infections caused by microbes are a serious health risk. Regarding this, customer preferences for "ready-to-eat" or minimally processed (MP) deer meat are one of the main risk factors. Given the health dangers associated with food, essential oil (EO) is a practical substitute used to decrease pathogenic germs and extend the shelf-life of MP meals. Nonetheless, further data regarding EO use in MP meals are required. In order to evaluate new, safer alternatives to chemicals for disease control and food preservation, this research was carried out in the following areas to assess the antibacterial and antibiofilm characteristics of Thymus serpyllum (TSEO) essential oil, which is extracted from dried flowering stalks. Furthermore, this study applied an essential oil of wild thyme and inoculated the sous vide deer meat with Pseudomonas aeruginosa for seven days at 4 °C in an effort to prolong its shelf-life. Against P. aeruginosa, the essential oil exhibited potent antibacterial action. The findings of the minimal biofilm inhibition concentration (MBIC) crystal violet test demonstrated the substantial antibiofilm activity of the TSEO. The TSEO modified the protein profiles of bacteria on glass and plastic surfaces, according to data from MALDI-TOF MS analysis. Moreover, it was discovered that P. aeruginosa was positively affected by the antibacterial properties of TSEO. The anti-Pseudomonas activity of the TSEO was marginally higher in vacuum-packed sous vide red deer meat samples than in control samples. The most frequently isolated species from sous vide deer meat, if we do not consider the applied bacteria Pseudomonas aeruginosa, were P. fragi, P. lundensis, and P. taetrolens. These results highlight the antibacterial and antibiofilm qualities of TSEO, demonstrating its potential for food preservation and extending the shelf-life of deer meat.

Differential contributions of double-strand break repair pathways to DNA rearrangements following the irradiation of Arabidopsis seeds and seedlings with ion beams.

DNA rearrangements, including inversions, translocations, and large insertions/deletions (indels), are crucial for crop evolution, domestication, and improvement. The rearrangements are frequently induced by ion beams via the mis-repair of DNA double-strand breaks (DSBs). Unfortunately, how ion beam-induced DSBs are repaired has not been comprehensively analyzed and the mechanisms underlying DNA rearrangements remain unclear. In this study, clonal sectors originating from single mutated cells in carbon ion-irradiated plants were used for whole-genome sequencing analyses after Arabidopsis seeds and seedlings were irradiated. Comparative analyses of the induced mutations (e.g., size and frequency of indels and microhomology at the junctions of the rearrangements) in the irradiated materials suggested that the broken/rejoined DSB ends were more extensively processed in seedlings than in seeds. A mutation to canonical non-homologous end-joining (c-NHEJ), which is a DSB repair pathway with minimal processing of DSB ends, increased the sensitivity to ion beams more in the seeds than in the seedlings, which was consistent with the junction analysis results, indicative of the minor contribution of c-NHEJ to the carbon ion-induced DSB repair in seedlings. Considering the characteristics of the large templated insertions in irradiated seedlings, ion-beam-induced DSBs in seedlings are likely repaired primarily by a polymerase theta-mediated pathway. Polymerase theta-deficient seedlings were more sensitive to ion beams than the c-NHEJ-deficient seedlings, consistent with this hypothesis. This study revealed the key characteristics of ion beam-induced DSBs and the associated repair mechanisms related to the physiological status of the irradiated materials, with implications for elucidating the occurrence and induction of rearrangements.

An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS

Digital geological mapping has experienced significant growth over the past three decades due to the advent of commercial geographical information systems, advances in global positioning systems, and the availability of portable hand-held devices, such as mobile personal computers (PCs), smartphones, and tablets. Numerous software packages have been developed to collect, combine, organise, visualise, publish, and share field data with enhanced spatial accuracy and minimal post-field processing. However, many of these tools are not open-source or are not made available to the geoscientific community, remaining specific to given mapping projects or organisations.In this contribution we introduce GEOL-QMAPS, an open-source, QGIS-based solution promoting digital geological mapping in a harmonised, comprehensive and flexible way. It can be used in the field with a tablet PC or via the QGIS-based QField app on iOS or Android mobile devices, enabling synchronisation with desktop QGIS and the creation of field databases. Designed as a general solution, the GEOL-QMAPS solution consists of a QGIS field data entry template and a custom QGIS plugin, both available on free-access online repositories. The plugin allows for the adaptation of dictionaries (i.e., lists of attributes describing geological features), initially set to international nomenclatures, to the guidelines of different mapping projects. The solution also facilitates the loading and consultation of relevant legacy geodatasets (e.g., preexisting field data, geochemical, geophysical maps or punctual datasets). A fact map, created from field data collected across the Archean Sula-Kangari greenstone belt in Sierra Leone, demonstrates the solution's advantages in terms of post-field processing and raw field data sharing.

A rapid, specific and ultrasensitive detection of the Chikungunya virus based on RT-RPA:CRISPR/Cas12a one-pot dual mode end-point detection system

BackgroundChikungunya (CHIK) is an underdiagnosed acute febrile illness (AFI) and an important cause of acute encephalitis syndrome (AES). Unavailaibility of rapid and sensitive molecular point-of-care tests (PoCTs) for CHIK at grass-root level, results in increased hospital burden, due to delayed diagnosis or misdiagnosis with other clinically relevant diseases. Since, no therapeutic intervention is readily available, accurate and differential diagnosis of CHIK is the only available option to initiate early supportive treatment. Thus, we aimed to develop a one-pot reverse transcription recombinase polymerase amplification (RT-RPA) mediated CRISPR/Cas12a based detection platform for rapid, specific, and ultrasensitive detection of chikungunya virus (CHIKV) in clinical samples. ResultsWe have successfully integrated CRISPR/Cas12a technology with reverse transcription recombinase polymerase amplification (RT-RPA) for the detection of Chikungunya virus (CHIKV). The developed assay enabled rapid detection of CHIKV within 35 min, requiring minimal handling process and instrumentation. Next, this assay demonstrated dual mode end-point detection capabilities, employing both fluorescence and lateral flow detection within a reaction. Our one-pot system allows the entire process to be completed without the need to open the reaction tube, thereby eliminating the risk of cross-contamination. Remarkably, the assay exhibits an analytical sensitivity of 412 zg μL−1 (≈1 copy), and 100 % clinical sensitivity and specificity for CHIKV. Furthermore, the developed assay demonstrated limit of detection of 8 gene copies of CHIKV. The assay demonstrates precise detection of CHIKV without any cross-reactivity with other pathogens commonly associated AFI or AES. SignificanceThe overall findings of this study indicate that the RT-RPA:CRISPR/Cas12a detection assay, with one-pot dual-mode detection approach enables rapid, specific and ultrasensitive molecular detection of CHIKV. This advancement holds significant potential for CHIKV detection in resource-limited settings, providing a robust tool for diagnosis and management of the disease. This developed assay may empower clinicians to initiate prompt supportive therapy for Chikungunya fever, thereby improving patient outcomes and public health responses.

Potential of near-infrared spectroscopy (NIRS) for prediction of acrylamide formation in French fries in the potato breeding process

Breeding goals of potatoes for deep-frying purposes include high starch contents, good suitability for long-term storage, and low tendency to form reducing sugars as acrylamide precursors. Due to the extensive number of samples, an accurate analysis of acrylamide in French fries and its precursors in tubers is difficult to implement in the breeding process. Therefore, this study aimed to evaluate the suitability of NIRS measurements after minimal sample processing for the prediction of reducing sugar contents in the tubers or acrylamide contents in French fries. An external validation with more than 650 samples consisting of 194 potato genotypes resulted in a prediction accuracy of 51 % for acrylamide and 76 % for reducing sugar content. RPD values of less than 1.5 for acrylamide and between 1.64 and 2.23 for reducing sugar prediction rendered low medium to medium model quality. Nevertheless, acrylamide prediction models based on NIRS measurement of mashed tubers categorised over 80 % of unknown samples correctly as being below or above the European threshold value, indicating suitability as rapid test procedure in the breeding process.

Enhancing the Shelf Life of Sous-Vide Red Deer Meat with Piper nigrum Essential Oil: A Study on Antimicrobial Efficacy against Listeria monocytogenes.

Using sous-vide technology in combination with essential oils offers the potential to extend the preservation of food items while preserving their original quality. This method aligns with the growing consumer demand for safer and healthier food production practices. This study aimed to assess the suitability of minimal processing of game meat and the effectiveness of vacuum packaging in combination with Piper nigrum essential oil (PNEO) treatment to preserve red deer meat samples inoculated with Listeria monocytogenes. Microbial analyses, including total viable count (TVC) for 48 h at 30 °C, coliform bacteria (CB) for 24 h at 37 °C, and L. monocytogenes count for 24 h at 37 °C, were conducted. The cooking temperature of the sous-vide was from 50 to 65 °C and the cooking time from 5 to 20 min. Additionally, the study monitored the representation of microorganism species identified through mass spectrometry. The microbiological quality of red deer meat processed using the sous-vide method was monitored over 14 days of storage at 4 °C. The results indicated that the TVC, CB, and L. monocytogenes counts decreased with the temperature and processing time of the sous-vide method. The lowest counts of individual microorganism groups were observed in samples treated with 1% PNEO. The analysis revealed that PNEO, in combination with the sous-vide method, effectively reduced L. monocytogenes counts and extended the shelf life of red deer meat. Kocuria salsicia, Pseudomonas taetrolens, and Pseudomonas fragi were the most frequently isolated microorganism species during the 14-day period of red deer meat storage prepared using the sous-vide method.

High-resolution Elemental Abundance Measurements of Cool JWST Planet Hosts Using AutoSpecFit: An Application to the Sub-Neptune K2-18b’s Host M Dwarf

We present an in-depth, high-resolution spectroscopic analysis of the M dwarf K2-18, which hosts a sub-Neptune exoplanet in its habitable zone. We show our technique to accurately normalize the observed spectrum, which is crucial for a proper spectral fitting. We also introduce a new automatic, line-by-line, model-fitting code, AutoSpecFit, which performs an iterative χ 2 minimization process to measure individual elemental abundances of cool dwarfs. We apply this code to the star K2-18, and measure the abundance of 10 elements: C, O, Na, Mg, Al, K, Ca, Sc, Ti, and Fe. We find these abundances to be moderately supersolar, except for Fe, with a slightly subsolar abundance. The accuracy of the inferred abundances is limited by the systematic errors due to uncertain stellar parameters. We also derive the abundance ratios associated with several planet-building elements such as Al/Mg, Ca/Mg, Fe/Mg, and (a solar-like) C/O = 0.568 ± 0.026, which can be used to constrain the chemical composition and the formation location of the exoplanet. On the other hand, the planet K2-18 b has attracted considerable interest, given the JWST measurements of its atmospheric composition. Early JWST studies reveal an unusual chemistry for the atmosphere of this planet, which is unlikely to be driven by formation in a disk of unusual composition. The comparison between the chemical abundances of K2-18 b from future JWST analyses and those of the host star can provide fundamental insights into the formation of this planetary system.

Process-driven solvent screening for efficient extractive distillation using interpolative rational functions

When designing extractive distillation processes, using selectivity and capacity at infinite dilution alone is hard to identify the real optimal solvent with minimal process cost. To overcome this problem, a new process-driven solvent screening approach is developed. As simple and reliable surrogate models, rational functions (algebraic fractions such that the numerator and the denominator are polynomials) and multivariate polynomials (a subset of rational functions) are trained to interpolate vapor–liquid equilibria with thermodynamic consistency. The surrogate models can directly be embedded into superstructure-based extractive distillation process design to obtain optimal solutions within a few seconds. This enables to evaluate the real process performance of numerous solvents efficiently. Incorporating the accelerated process design strategy, a multi-level solvent screening framework is proposed and exemplified for the separation of a close-boiling mixture ethylbenzene/styrene. The solvent C2H2Br4 ultimately enables a cost reduction of 27.9 % compared to the industrially used benchmark solvent sulfolane.

Exploring Biomass Conversion Technologies: From Raw Materials to Valuable Products

The global demand for eco-friendly energy has propelled biomass into the spotlight. This report delves into biomass conversion technologies, including biochemical and thermochemical processes, with a focus on hydrothermal conversion. It highlights challenges related to cost-effectiveness and commercial viability. Thermochemical conversion processes, such as pyrolysis and combustion, unlock energy from organic matter. Hydrothermal processing's three approaches and their efficiency are discussed, particularly in biofuels, chemicals, and biochar production. The review analyzes hydrothermal gasification, emphasizing its efficiency and minimal processing time. Carbon and hydrogen gasification efficiencies are crucial in determining gas yields in supercritical conditions. Yield distribution and the influence of feedstock nature and composition on product yield are examined. In conclusion, this report offers insights into biomass conversion technologies and their sustainability for energy and chemical needs.