Alternative Process Research Articles

Design of Sustainable Aluminium-Based Feedstocks for Composite Extrusion Modelling (CEM).

Additive manufacturing (AM) has become one of the most promising manufacturing techniques in recent years due to the geometric design freedom that this technology offers. The main objective of this study is to explore Composite Extrusion Modelling (CEM) with aluminium as an alternative processing route for aluminium alloys. This process allows for working with pellets that are deposited directly, layer by layer. The aim of the technique is to obtain aluminium alloy samples for industrial applications with high precision, without defects, and which are processed in an environmentally friendly manner. For this purpose, an initial and preliminary study using powder injection moulding (PIM), necessary for the production of samples, has been carried out. The first challenge was the design of a sustainable aluminium-based feedstock. The powder injection moulding technique was used as a first approach to optimise the properties of the feedstock through a combination of water-soluble polymer, polyethyleneglycol (PEG), and cellulose acetate butyrate (CAB) wich produces low CO2 emissions. To do this, a microstructural characterisation was carried out and the critical solid loading and rheological properties of the feedstocks were studied. Furthermore, the debinding conditions and sintering parameters were adjusted in order to obtain samples with the required density for the following processes and with high geometrical accuracy. In the same way, the printing parameters were optimised for proper material deposition.

Modelling photoperiod in enhancing hydrogen production from Chlorella vulgaris sp. while bioremediating ammonium and organic pollutants in municipal wastewater

Municipal wastewater is ubiquitously laden with myriad pollutants discharged primarily from a combination of domestic and industrial activities. These heterogeneous pollutants are threating the natural environments when the traditional activated sludge system fails sporadically to reduce the pollutants' toxicities. Besides, the activated sludge system is very energy intensive, bringing conundrums for decarbonization. This research endeavoured to employ Chlorella vulgaris sp. In converting pollutants from municipal wastewater into hydrogen via alternate light and dark fermentative process. The microalgae in attached form onto 1 cm3 of polyurethane foam cubes were adopted in optimizing light intensity and photoperiod during the light exposure duration. The highest hydrogen production was recorded at 52 mL amidst the synergistic light intensity and photoperiod of 200 μmolm−2s−1 and 12:12 h (light:dark h), respectively. At this lighting condition, the removals of chemical oxygen demand (COD) and ammoniacal nitrogen were both achieved at about 80%. The sustainability of microalgal fermentative performances was verified in recyclability study using similar immobilization support material. There were negligible diminishments of hydrogen production as well as both COD and ammoniacal nitrogen removals after five cycles, heralding inconsequential microalgal cells’ washout from the polyurethane support when replacing the municipal wastewater medium at each cycle. The collected dataset was finally modelled into enhanced Monod equation aided by Python software tool of machine learning. The derived model was capable to predict the performances of microalgae to execute the fermentative process in producing hydrogen while subsisting municipal wastewater at arbitrary photoperiod. The enhanced model had a best fitting of R2 of 0.9857 as validated using an independent dataset. Concisely, the outcomes had contributed towards the advancement of municipal wastewater treatment via microalgal fermentative process in producing green hydrogen as a clean energy source to decarbonize the wastewater treatment facilities.

Microwave-assisted extraction and purification of aleuritic acid from seedlac: A fast, eco-friendly and cost-effective single process for enhanced yield and purity

Aleuritic acid is one of the high-value constituents of lac resin, which has a massive demand in the perfumery industry for synthesizing macrocyclic lactones. The commercial aleuritic acid extraction process is lengthy, inefficient, and produces low-quality aleuritic acid, which necessitates repeated purification using toxic chemicals, bleaching agents, organic solvents, and activated carbon to obtain the desired quality aleuritic acid. This study developed a single process for extraction and purification of aleuritic acid involving microwave-assisted hydrolyzing of the seed lac and removing impurities of lac resin through condensation and alkali heat treatment. The novel process has reduced the overall extraction time from 15 days to 1.5–2 days and increases the yield from 35 to 40 % to 85–86 % and purity from 70 to 86 % to > 98 % in a single process without the use of toxic chemicals, bleaching agents, or organic solvents, unlike the commercially available process. HPLC, FT-IR, DSC, and FESEM techniques were employed to characterize and evaluate the quality of the extracted aleuritic acid. The developed process is highly efficient and cost-effective and offers scalable and fast extraction while requiring minimal chemicals, labor, and energy compared to alternative processes. Moreover, it exhibits greater environmental sustainability.

A green synthesis strategy toward calcined calcium-aluminum layered double hydroxide with sludge as aluminum source for efficient removal of phosphate from water

Layered double hydroxides promise efficient phosphorus removal from water, yet their preparation process inevitably leads to the consumption of metal minerals and incurs high material costs. The drinking water treatment aluminum sludge with high aluminum content is a suitable source for obtaining metal aluminum. Recognizing the environmental and economic challenges in traditional layered double hydroxides production, this research proposes a novel approach utilizing high-aluminum drinking water treatment aluminum sludge as an alternative aluminum source. Herein, calcium-aluminum layered double oxides with aluminum sludge as aluminum source (Ca/(Al-DWTAS)-LDOs) were prepared by co-precipitation and calcination method. The study meticulously examines the influence of variables such as dosage, initial pH, and the presence of coexisting ions on phosphorus removal efficiency: at the optimal dosage (0.5 g/L), the adsorption efficiencies of Ca/(Al-DWTAS)-LDOs for phosphate in the range of 2.0 < pH < 11.0 and in the environment of common anionic disturbances were maintained at more than 90%. After six adsorption-desorption tests, the phosphate removal efficiency of Ca/(Al-DWTAS)-LDOs only decreased from 98.85% to 74.38%. According to the Sips isotherm model, the maximal adsorption capacity of Ca/(Al-DWTAS)-LDOs at ambient temperature (25 °C) was determined to be 110.14 mg/g. Adsorption mechanism of Ca/(Al-DWTAS)-LDOs were explored through characterization, kinetic and thermodynamic studies, mainly involving electrostatic reactions, ion exchange reaction, surface complexation reaction, and surface precipitation. When 0.5 g/L Ca/(Al-DWTAS)-LDOs was added to the actual swine wastewater with phosphate content of 37.25 mg/L, the phosphate removal efficiency reached 86.19%. This study not only provides an alternative process method for the acquisition of layered double hydroxides, but also has wide applications for environmental protection.

Bio-upcycling of even and uneven medium-chain-length diols and dicarboxylates to polyhydroxyalkanoates using engineered Pseudomonas putida

Bio-upcycling of plastics is an emerging alternative process that focuses on extracting value from a wide range of plastic waste streams. Such streams are typically too contaminated to be effectively processed using traditional recycling technologies. Medium-chain-length (mcl) diols and dicarboxylates (DCA) are major products of chemically or enzymatically depolymerized plastics, such as polyesters or polyethers. In this study, we enabled the efficient metabolism of mcl-diols and -DCA in engineered Pseudomonas putida as a prerequisite for subsequent bio-upcycling. We identified the transcriptional regulator GcdR as target for enabling metabolism of uneven mcl-DCA such as pimelate, and uncovered amino acid substitutions that lead to an increased coupling between the heterologous β-oxidation of mcl-DCA and the native degradation of short-chain-length DCA. Adaptive laboratory evolution and subsequent reverse engineering unravelled two distinct pathways for mcl-diol metabolism in P. putida, namely via the hydroxy acid and subsequent native β-oxidation or via full oxidation to the dicarboxylic acid that is further metabolized by heterologous β-oxidation. Furthermore, we demonstrated the production of polyhydroxyalkanoates from mcl-diols and -DCA by a single strain combining all required metabolic features. Overall, this study provides a powerful platform strain for the bio-upcycling of complex plastic hydrolysates to polyhydroxyalkanoates and leads the path for future yield optimizations.Graphical

Numerical Simulation and Parameter Optimization for Water-to-CO2 Flooding in a Strongly Water-Sensitive Reservoir.

Carbon dioxide flooding can accelerate the development of low-permeability reservoirs of the Kexia group in the K region of the T oil field, thus resolving the issue of inadequate water drive effects. This study was focused on the well group 80513 in the K region, and based on the reservoir and fluid parameters, a simulation model of water-sensitive post-CO2 flooding was constructed to refine the gas injection strategy gradually. The injection rate of the continuous gas injection stage was preferred based on the degree of recovery. Multiindicator and multifactor injection and extraction schemes were established to optimize and analyze the key controlling factors, including the gas injection rate, gas injection period, gas-to-water ratio, and bottom-hole flow pressure, in the carbon dioxide gas-to-water alternation process. Recovery efficiency, oil exchange rate, formation pressure, and carbon dioxide storage rate were used as indicators. After 5 years of continuous CO2 flooding, the results indicated that switching to CO2 gas-water alternating flooding was more appropriate for the target block's environment. The best development plan was achieved when the gas injection rates were 1.0 and 1.25 × 104 m3·d-1 for continuous gas injection and CO2 gas-water alternating flooding, respectively, with a gas-water ratio of 1:1, a gas injection cycle of 90 days, and a bottom-hole flow pressure of 25 MPa in the production wells. A comparison between the results revealed that the formation pressure and oil recovery efficiency of this well group significantly increased upon CO2 flooding, and the parameter optimization results were well suited for controlling the gas flurry, offering a versatile model for future development of the block.

LiTFSI-Free Hole Transport Materials for Robust Perovskite Solar Cells and Modules with High Efficiencies.

Lithium bis(trifluoromethane) sulfonamide (LiTFSI) and oxygen-doped organic semiconductors have been frequently used to achieve record power conversion efficiencies of perovskite solar cells (PSCs). However, this conventional doping process is time-consuming and leads to poor device stability due to the incorporation of Li ions. Herein, aiming to accelerate the doping process and remove the Li ions, we report an alternative p-doping process by mixing a new small-molecule organic semiconductor, N2,N2,N7,N7-tetrakis (4-methoxyphenyl)-9-(4-(octyloxy) phenyl)-9H carbazole-2,7-diamine (labeled OH44) and its preoxidized form OH44+(TFSI-). With this method, a champion efficiency of 21.8% has been achieved for small-area PSCs, which is superior to the state-of-the-art EH44 and comparable with LiTFSI and oxygen-doped spiro-OMeTAD. Moreover, the stability of OH44-based PSCs is improved compared with those of EH44, maintaining more than 85% of its initial efficiency after aging in an ambient condition without encapsulation for 1000 h. In addition, we achieved efficiencies of 14.7 and 12.6% for the solar modules measured with a metal mask of 12.0 and 48.0 cm2, respectively, which demonstrated the scalability of this method.

Exploring source water mixing strategies to reduce chemical consumption and environmental footprint in surface water treatment

Abstract Common methods for treating surface waters involve chemical flocculation, for which a significant factor contributing to the total cost and climate impact is the consumption of chemicals, chiefly coagulants and pH-adjusting chemicals. The amount of chemicals required for treating surface waters and achieving suitable flocculation pH depends greatly on the alkalinity of the source water. This study investigates the viability of mixing two surface waters with different chemical properties with the aim of reducing the amount of chemicals used during chemical flocculation. Bench-scale experiments were carried out, and the results were compared with full-scale operations at a surface water treatment plant (WTP). The WTP uses ferric chloride as a coagulant, which effectively removes natural organic matter, but consumes large amounts of hydroxide to manage pH before and after flocculation. As an alternative process, this study tested the use of aluminum sulfate, polyaluminum chloride and ferric chloride at varying dosages in combination with different source water mixtures to achieve suitable flocculation pH. The results showed that pH-adjusting chemicals could be omitted by adding a small amount of high alkalinity surface water to the primary source water, thereby reducing costs and climate impact substantially.

Comparison of liquid based cytology and conventional smears on lymph node aspirates: A cytomorphological study.

In an era of minimally invasive and rapid diagnostic technologies, fine-needle aspiration cytology (FNAC) is most useful when it comes to patients with lymphadenopathies especially of the cervical region. Liquid-based cytology (LBC) is an alternative processing method which is used for both gynecological and non-gynecological samples. Because of the remarkable advantages of LBC smears in gynecological samples, nowadays, many studies have been done to assess its utility in various other lesions. Hereby, with the help of this study, we would like to evaluate the efficiency of LBC smears in comparison to conventional FNAC smears conventional smears (CS) on lymph node aspirates. A retrospective study was done over a 1-year period in which 253 cases of lymph node aspirates were included in the study. The slides were prepared using standard conventional and LBC techniques and compared for adequacy, cellularity, cell architecture, necrosis, background debris, presence of cells in monolayer sheets, and nuclear/cytoplasmic details. Of the total 253 cases, 171 (67.6%) were and 67 (26.5%) were diagnosed as non-neoplastic and malignant, respectively. Although the LBC smears were useful in the diagnosis of malignant cases, they did pose some challenges especially in the non-neoplastic lymph node aspirates due to loss of the background necrosis. In addition, the cellular yield in LBC smears was low in comparison to CS. LBC smears from lymph node aspirates results in better diagnostic accuracy for malignant cases due to better cellular and nuclear details. However, for non-neoplastic etiology, it should not be considered better than CS as loss of the background necrosis and inflammation may result in an incorrect diagnosis.

The Future of Food.

The global food systems face significant challenges driven by population growth, climate change, geopolitical conflicts, crises, and evolving consumer preferences. Intending to address these challenges, optimizing food production, adopting sustainable practices, and developing technological advancements are essential while ensuring the safety and public acceptance of innovations. This review explores the complex aspects of the future of food, encompassing sustainable food production, food security, climate-resilient and digitalized food supply chain, alternative protein sources, food processing, and food technology, the impact of biotechnology, cultural diversity and culinary trends, consumer health and personalized nutrition, and food production within the circular bioeconomy. The article offers a holistic perspective on the evolving food industry characterized by innovation, adaptability, and a shared commitment to global food system resilience. Achieving sustainable, nutritious, and environmentally friendly food production in the future involves comprehensive changes in various aspects of the food supply chain, including innovative farming practices, evolving food processing technologies, and Industry 4.0 applications, as well as approaches that redefine how we consume food.

The lines that divide: Board demographic faultlines and proactive environmental strategy

AbstractManuscript TypeThe manuscript is of an empirical nature.Research Question/IssueThe current ecological crisis requires boards of directors to tackle environmental concerns and manage dependencies with the external environment in highly dynamic conditions. Proactive environmental strategies (PESs) seek to establish alternative and innovative processes and products that create new market opportunities. By mobilizing the notion of board demographic faultlines, we investigate their link with PESs and the influence of the internal board dynamics and environmental factors on this relationship.Research Findings/InsightsThe multilevel regression analysis of a 7‐year sample of UK boards reveals that demographic faultlines hinder their information processing in adopting PESs. The results also show that the negative relationship between demographic faultlines and PESs is attenuated by the social similarity of the CEO and chair in the same subgroup and by the financial materiality of the natural environment.Theoretical/Academic ImplicationsThis study draws on faultline theory to analyze how the structure of board diversity through the alignment of multiple directors' demographic attributes affects board dynamics by creating polarized boards that shape sustainability decisions. This study underscores the disruptive effect of having socially distanced subgroups within the board and the salience of board leaders' social similarity and environmental factors in attenuating their dysfunctional effects.Practitioner/Policy ImplicationsBoard diversity is considered key to improving board decision‐making. By situating our empirical investigation in a country with a corporate governance model that fosters diversity in a dual leadership board structure that has influenced other countries' governance models, this study provides insights for policymakers and market participants on the unintended effects of the global call for board diversity on firms' proactive environmental stance. Our results call for establishing procedures to incentivize board socialization and facilitate directors' information processing.

An Environmentally Friendly Alternative Method of Producing Religious Images for Philippine Holy Week Tableaus

This paper presents a proposed process of making Philippine Holy Week sacred images from clay, plaster, and paper fiber instead of the more precious wood from the country's shrinking forests. This paper theoretically established the durability of the product and environmental soundness of this alternative process compared to the traditional wood carving or the more recent resin casting by thoroughly describing this alternative process by understanding the notion of durability based on the traditionally preferred woods among santeros, by understanding the conservation status of these preferred woods, and by undertaking comparative calculations of the environmental impacts of the productions of the three current alternatives. This paper is significant because it proposes a sustainable way of assuring the continued existence of the Filipino cultural tradition of making and presenting Holy Week images.

Patent Literature on Epoxidation of Propylene Over Silver Catalysts Using Molecular Oxygen – A Critical Industrial Review

AbstractWe summarize the patent literature related to the direct oxidation of propylene‐to‐propylene oxide (DOPO) over silver catalysts. Inventions claiming new compositions, preparation methods, and/or alternative process options are illustrated with data sampled from patent documents. Early claims focused on powders of silver (silver oxide) alloyed with and/or surface‐modified with one‐two promoterswhere silver was in large excess (&gt;80 wt%). In the following decades, inventors refined their approach and pursued alternative bulk synthetic methods supplemented with impregnation to produce formulationscontaining lower amounts of silver in combination with various other transition metals, halides, alkalis and/or alkaline earth elements. Simultaneously, process development has facilitated increased PO selectivity via the co‐feeding of water and/or carbon dioxide at volume percent levels combined with smaller ppmV concentrations of organic chlorides and nitrogenoxides. At the end we briefly discuss how non‐catalytic oxidative routes to propylene oxide provide additional insights for new catalyst development. While these approaches hardly exceed 60 % PO selectivity, they may shed light on design criteria for catalysts capable of achieving that goal. Success in the field will require strong fundamental understanding of the activation of dioxygen on catalytic surfaces to define design requirements for silver catalystswith high selectivity to PO via direct oxidation.

UCB strategies and optimization of batch processing in a one-armed bandit problem

We consider a Gaussian one-armed bandit problem, which arises when optimizing batch data processing if there are two alternative processing methods with a priori known efficiency of the first method. During processing, it is necessary to determine a more effective method and ensure its preferential use. This optimal control problem is interpreted as a game with nature. We investigate cases of known and a priori unknown variance of income corresponding to the second method. The control goal is considered in a minimax setting, and UCB strategies are used to ensure it. In all the studied cases, invariant descriptions of control on a horizon equal to one are obtained, which depend only on the number of batches into which the data is divided, but not on their full number. These descriptions allow us to determine approximately optimal parameters of strategies using Monte Carlo simulation. Numerical results show the high efficiency of the proposed UCB strategies.

From germline genome to highly fragmented somatic genome: genome-wide DNA rearrangement during the sexual process in ciliated protists

Genomes are incredibly dynamic within diverse eukaryotes and programmed genome rearrangements (PGR) play important roles in generating genomic diversity. However, genomes and chromosomes in metazoans are usually large in size which prevents our understanding of the origin and evolution of PGR. To expand our knowledge of genomic diversity and the evolutionary origin of complex genome rearrangements, we focus on ciliated protists (ciliates). Ciliates are single-celled eukaryotes with highly fragmented somatic chromosomes and massively scrambled germline genomes. PGR in ciliates occurs extensively by removing massive amounts of repetitive and selfish DNA elements found in the silent germline genome during development of the somatic genome. We report the partial germline genomes of two spirotrich ciliate species, namely Strombidium cf. sulcatum and Halteria grandinella, along with the most compact and highly fragmented somatic genome for S. cf. sulcatum. We provide the first insights into the genome rearrangements of these two species and compare these features with those of other ciliates. Our analyses reveal: (1) DNA sequence loss through evolution and during PGR in S. cf. sulcatum has combined to produce the most compact and efficient nanochromosomes observed to date; (2) the compact, transcriptome-like somatic genome in both species results from extensive removal of a relatively large number of shorter germline-specific DNA sequences; (3) long chromosome breakage site motifs are duplicated and retained in the somatic genome, revealing a complex model of chromosome fragmentation in spirotrichs; (4) gene scrambling and alternative processing are found throughout the core spirotrichs, offering unique opportunities to increase genetic diversity and regulation in this group.

Rediversification following ecotype isolation reveals hidden adaptive potential

Microbial communities play a critical role in ecological processes, and their diversity is key to their functioning. However, little is known about whether communities can regenerate ecological diversity following ecotype removal or extinction and how the rediversified communities would compare to the original ones. Here, we show that simple two-ecotype communities from the E.coli long-term evolution experiment (LTEE) consistently rediversified into two ecotypes following the isolation of one of the ecotypes, coexisting via negative frequency-dependent selection. Communities separated by more than 30,000 generations of evolutionary time rediversify in similar ways. The rediversified ecotype appears to share a number of growth traits with the ecotype it replaces. However, the rediversified community is also different from the original community in ways relevant to the mechanism of ecotype coexistence-for example, in stationary phase response and survival. We found substantial variation in the transcriptional states between the two original ecotypes, whereas the differences within the rediversified community were comparatively smaller, although the rediversified community showed unique patterns of differential expression. Our results suggest that evolution may leave room for alternative diversification processes even in a maximally reduced community of only two strains. We hypothesize that the presence of alternative evolutionary pathways may be even more pronounced in communities of many species where there are even more potential niches, highlighting an important role for perturbations, such as species removal, in evolving ecological communities.

Subtype-Aware Dynamic Unsupervised Domain Adaptation.

Unsupervised domain adaptation (UDA) has been successfully applied to transfer knowledge from a labeled source domain to target domains without their labels. Recently introduced transferable prototypical networks (TPNs) further address class-wise conditional alignment. In TPN, while the closeness of class centers between source and target domains is explicitly enforced in a latent space, the underlying fine-grained subtype structure and the cross-domain within-class compactness have not been fully investigated. To counter this, we propose a new approach to adaptively perform a fine-grained subtype-aware alignment to improve the performance in the target domain without the subtype label in both domains. The insight of our approach is that the unlabeled subtypes in a class have the local proximity within a subtype while exhibiting disparate characteristics because of different conditional and label shifts. Specifically, we propose to simultaneously enforce subtype-wise compactness and class-wise separation, by utilizing intermediate pseudo-labels. In addition, we systematically investigate various scenarios with and without prior knowledge of subtype numbers and propose to exploit the underlying subtype structure. Furthermore, a dynamic queue framework is developed to evolve the subtype cluster centroids steadily using an alternative processing scheme. Experimental results, carried out with multiview congenital heart disease data and VisDA and DomainNet, show the effectiveness and validity of our subtype-aware UDA, compared with state-of-the-art UDA methods.

Alternative Processes for Apple Juice Stabilization and Clarification: A Bibliometric and Comprehensive Review

Apple juice is one of the most consumed fruit juices in the world. Raw apple juice is viscous, turbid, and brown in color and contains several spoilage microorganisms. These are the reasons behind the application of several steps of clarification and stabilization prior to juice commercialization. Thermal pasteurization remains the most used process for apple juice microbial stabilization, but it damages its organoleptic and nutritional characteristics. Juice settling used for clarification does not allow the achievement of the desired level of clarification. Therefore, this article provides a comprehensive and bibliometric review of all the alternative treatments for thermal pasteurization in order to reduce microorganisms and patulin levels such as pulsed electric fields, microwave processing, high hydrostatic pressure, ultrasonication, etc., and their effect on apple juice characteristics as well as the techniques used for apple juice clarification.

Ionic Transistors.

Biological voltage-gated ion channels, which behave as life's transistors, regulate ion transport precisely and selectively through atomic-scale selectivity filters to sustain important life activities. By this inspiration, voltage-adaptable ionic transistors that use ions as signal carriers may provide an alternative information processing unit beyond solid-state electronic devices. This review provides a comprehensive overview of the first generation of biomimetic ionic transistors, including their operating mechanisms, device architecture development, and property characterizations. Despite its infancy, significant progress has been made in the applications of ionic transistors in fields such as DNA detection, drug delivery, and ionic circuits. Challenges and prospects of full exploitation of ionic transistors for a broad spectrum of practical applications are also discussed.

P107 Comparing the Colonic Tissue Proteome of Active and Inactive Ulcerative Colitis

Abstract Background Ulcerative colitis (UC) is an inflammatory bowel disease that begins at the rectum and can advance proximally and continuously throughout the colon. In this pilot study, we aim to differentiate the protein expression between active and inactive patients, comparing the same tissue region of the colon pairwise between active and inactive UC. Additionally, we are looking to build on previous work to determine which proteins are differentially proteolyzed in active UC and postulate whether this alternative post-translational processing significantly correlates to disease activity. Here, we aim to use a multi -omics approach to spatially profile the entire large intestine. Methods We used an N-terminomics proteomic approach to determine whether proteins are differentially expressed and proteolytically processed in all colon segments of patients with active and inactive UC. Colon tissues were retrieved from patients and classified according to disease activity. Five active and five inactive UC patients were compared from each of the colonic regions (rectum, sigmoid, transverse, ascending colon). Samples were quantified by liquid chromatography and tandem mass spectrometry (LC-MS/MS). Peptides were identified and matched at a 5% false discovery rate (FDR). Boxplot analysis was used to determine the upper and lower threshold for protein fold changes between conditions, and various bioinformatic software (MetaScape, StringDB, TopFINDer) were used to analyze the data. Results Primary analysis discovered a combined 36 statistically changing proteins in patients with active disease, including several that have previously been published and others that are direct interactors with known biomarkers for active UC, including calmodulin and S100A9. Interestingly, S100A9 was translated significantly more in the transverse colon of patients with active UC but was not in other colonic regions. Protease activity was noticeably different in active and inactive UC, in addition to having unique activity dependent on the region of the colon from which the samples were acquired. For example, delta-catenin was processed more in active UC in the rectum and transverse colon, whereas it’s processing was enriched in inactive UC in the sigmoid colon. Conclusion While this pilot study is incomplete, the promising initial results exhibit the power of a proteomics and N-terminomics approach to elucidate the mechanisms that contribute to UC pathogenesis. There appears to be a pattern in how proteins and their altered proteolysis leads to an increased likelihood of active UC.