Industrial Relevance Research Articles

Leveraging Partnerships for Microcredential Design in Digital Health: Key success factors

Aim: This paper describes the collaborative approaches used to design microcredentials in digital health and cybersecurity. The project was initiated to design and deliver educational products to address specific skills shortages and align outcomes with Australian and International skills and professional competency frameworks. Approach: The co-design process was guided by a proven model for educational design, involving interdisciplinary teams and emphasising rapid prototyping to ensure industry relevance and on time delivery. Partnerships with industry and professional associations were built to develop and deploy the microcredentials within a six-month timeframe. Main Findings and Conclusion: Key success factors included trust, mutual respect, and effective communication among partners. The co-design process highlighted the benefits of collaboration, the importance of alignment with competency frameworks, and the lessons learned in creating educational products that satisfy learner, academic and industry needs. The paper concludes that co-designing microcredentials with industry and professional associations is an effective approach to delivering educational products that address workforce skills and professional knowledge gaps.

Penerapan Business Model Canvas untuk Pengembangan Bisnis TemplateKuy dalam Penyediaan Template Notion dan Spreadsheet

In the rapidly evolving digital era, effective business models are crucial for sustaining competitiveness. This research explores the application of the Business Model Canvas (BMC) to TemplateKuy, a digital platform providing Notion and Spreadsheet templates. The study aims to identify how BMC's nine components—customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structures—can be optimized for business growth and sustainability. A qualitative descriptive method was employed, involving interviews, observations, and SWOT analysis to evaluate TemplateKuy’s strategic positioning. The findings reveal that BMC helps TemplateKuy create tailored strategies that align with market demands, improve operational efficiency, and increase value for its users. However, challenges such as resource limitations and market competition persist. These results offer valuable insights for similar businesses aiming to leverage BMC for strategic planning. The study emphasizes the importance of continuous innovation and customer feedback to maintain relevance in the dynamic digital industry.

Influential Factors in the Decision to Pursue a Bachelor’s Degree in Computer Engineering and Artificial Intelligence at the School of Engineering and Technology, Walailak University

Background and Objectives: University education is essential for empowering individuals and fostering economic, social, and intellectual growth. In Thailand, fair and competitive university admissions are ensured across 75 institutions by the Thai University Center Admission System (TCAS). At the same time, each individual’s decision to pursue higher education is influenced by the quality of program’s curriculum and academic reputation, along with geographical considerations and parental guidance. This study investigates factors influencing the decision to pursue a bachelor's degree in Computer Engineering and Artificial Intelligence (CEAI) at Walailak University, focusing in particular on their revised curriculum. Insights gained aim to enhance curriculum alignment, boost recruitment, and meet the diverse needs of students. Methodology: This study employed an exploratory approach, using descriptive statistics and multiple regression analysis. The population consisted of 126 students enrolled in the CEAI program at Walailak University in 2022. A sample of 96 participants were randomly selected and voluntarily completed an online questionnaire. The questionnaire, distributed via academic platforms and social media, elicited demographic information and explored factors influencing participants’ decision to pursue this degree. Main Results: The results showed that curriculum factors had the greatest impact on the decision to pursue the program, followed by financial factors, educational institution factors, and personal reasons. The t-test results indicated that gender impacted decision regarding course enrollment and the total monthly income of the family affected the decision as to whether or not to enroll at a particular institution. Discussions: This study revealed key factors influencing enrollment decisions for CEAI students at Walailak University. Curriculum relevance, faculty expertise, and financial considerations emerged as their primary concerns. Notably, female students valued curriculum aspects more highly than their male counterparts, yet they remain underrepresented, highlighting persistent gender stereotypes in engineering. Income-related differences significantly impacted perceptions of financial factors. To address these findings, we recommend: (1) curriculum-focused marketing emphasizing industry relevance, (2) targeted outreach to female students, (3) expanded financial support and transparency, and (4) enhanced public relations leveraging social media and outreach programs. These strategies aim to create a more diverse and inclusive program, aligning with global trends in STEM education and workforce development. Conclusions: The study reveals that curriculum factors, particularly job market relevance and faculty expertise, are most important to students in Walailak University's CEAI program. Gender and income related differences significantly influence student perspectives. These insights can help improve program quality, develop targeted admission strategies, and better serve diverse student needs.

Hyperbaric inactivation at 150–250 MPa of Alicyclobacillus acidoterrestris spores at room temperature and effect of innovative technologies pre-treatments

This study evaluated hyperbaric inactivation (HI) at 150, 200 and 250 MPa, up to 24 h (at ambient temperatures,18–23 °C) to inactivate Alicyclobacillus acidoterrestris (ACB) spores in apple juice. The effects of pre-treatments on spores by thermal pasteurization (90 °C, 30 s), high pressure processing (600 MPa, 3 min, HPP), pulsed electric field (30 kV, 80 μs, 1400 Hz, PEF), and ultrasound (67 W, 20 kHz, 5 min, US) prior to HI was evaluated. The results were fitted to non-linear inactivation kinetic models, including Biphasic, Log-logistic, and Weibull. Without a previous pre-treatment, ACB spores were reduced ≈4.56 log units by HI after 24 h, regardless of the pressure level (initial load around 6 log CFU/mL). The pre-treatments did not affect ACB spores during HI (≈4–5 log units' inactivation after 24 h under pressure), except for PEF that resulted in a lower inactivation (≈3.5 log units after 24 h under pressure). Phase contrast microscopy revealed that the spores were unable to form a vegetative cell during HI. HI at 5 °C resulted in a lower inactivation level, with 3.86, 2.54 and 1.77 log units of inactivation, respectively, at 150, 200 and 250 MPa after 96 h. Industrial relevanceThe results of this work point to the possibility of using HI, before or after conventional thermal pasteurization and other nonthermal technologies (HPP, PEF, and US) to process apple juice, to inactivate ACB spores at room temperature and also under refrigeration. This methodology should be further studied in the context of ACB spores' high thermal stability and its industrial relevance.

Exploration of Freshness Identification Method for Refrigerated Vegetables Based on Metabolomics

Background: The rapid development of refrigerated transportation technology for fresh vegetables has extended their shelf life. Some vegetables may appear undamaged on the surface, but their freshness may have decreased, often resulting in the phenomenon of passing off inferior vegetables as good. It is very important to establish a detection method for identifying and assessing the freshness of vegetables. Methods: Therefore, based on metabolomics methods, this study innovatively employed UHPLC-Q-Exactive Orbitrap MS and GC–MS techniques to investigate the metabolites in the refrigerated storage of four vegetables, namely chard (Beta vulgaris var. cicla L), lettuce (Lactuca sativa var. ramose Hort.), crown daisy (Glebionis coronaria (L.) Cass. ex Spach), and tomato (Solanum lycopersicum L.), exploring key biomarkers for assessing their freshness. UPLC-TQ MS was used for the quantitative analysis of key metabolites. Results: The results showed that arginine biosynthesis and the metabolism of alanine, aspartate, and glutamate are key pathways in vegetable metabolism. Four key metabolites were selected from chard, five from lettuce, three from crown daisy, and five from tomato. Conclusions: Comparing the content of substances such as alanine and arginine can help infer the freshness and nutritional value of the vegetables, providing important references for detecting spoilage, determining storage time, and improving transportation conditions. This research holds significant relevance for the vegetable transportation industry.

Incremental Deformations and Bifurcation of Elastic Solids Reinforced by Fibers With Intrinsic Extensional, Flexural, and Torsional Elasticity

Abstract We present a model for incremental deformations of an elastic solid reinforced by a single family of fibers that offer resistance to extension, flexure, and torsion. The theory is cast in the setting of small-on-large deformations and provides a framework for the multiscale analysis of bifurcation of equilibria in fibrous composites. The model is based on a theory of three-dimensional Cosserat elasticity in which fiber kinematics are controlled by a rotation field that is weakly coupled to the bulk deformation through a pointwise fiber-materiality constraint. Fiber–matrix interaction forces are explicitly accounted for via the attendant Lagrange multipliers. We demonstrate the utility of the model by investigating the onset of bifurcation in an incompressible fiber-reinforced elastic half-plane. In particular, we study the influence of axial fiber stiffness, flexural stiffness, and fiber–matrix interaction forces on planar buckling modes. We envisage a model for the study of buckling problems of biological and industrial relevance with a view to gaining better insight into the roles of fiber bending, twisting, and fiber–matrix interaction forces in regulating the buckling of fibrous composites.

Optimization of Centrifugal Pump Properties to Improve the Accuracy of Water Discharge and Pump Head Measurements

Centrifugal pumps are extensively used in industries and water management systems, where accurate measurements of water flow rate and pump head are essential for evaluating performance. However, inaccuracies arising from suboptimal designs of training kits present challenges in educational environments. This study aimed to optimize a centrifugal pump training kit to enhance measurement accuracy and reliability. The research was conducted over four months, involving modifications to the impeller, casing, and pressure measurement systems, along with rigorous calibration to minimize errors. Measurements of suction pressure, discharge pressure, water flow rate, and pump head were repeated under standardized conditions to ensure data consistency. The results demonstrated significant improvements, with consistent measurements of suction pressure (21 inHg), discharge pressure (15 PSI), water flow rate (0.5 L/s), and pump head (1.38 mH₂O). These optimizations reduced system inefficiencies, such as backflow and turbulence, and enhanced the kit’s ability to replicate real-world operating conditions. The improved training kit provides students with a reliable tool for practical learning, bridging theoretical concepts with real-world applications in fluid mechanics. This study underscores the importance of continual enhancement of laboratory teaching tools to support effective education and industrial relevance.

Discovery of thiazostatin D/E using UPLC-HR-MS2-based metabolomics and σ-factor engineering of Actinoplanes sp. SE50/110.

As the natural producer of acarbose, Actinoplanes sp. SE50/110 has high industrial relevance. Like most Actinobacteria, the strain carries several more putative biosynthetic gene clusters (BGCs) to produce further natural products, which are to be discovered. Applying a metabolomics-guided approach, we tentatively identified five further compounds that are produced by the strain: watasemycin, thiazostatin, isopyochelin, pulicatin, and aerugine. A comparison of the genomic context allowed the identification of the putative BGC, which is highly similar to the watasemycin biosynthetic gene cluster of Streptomyces venezuelae. In addition to the identified molecules, a thiazostatin-like compound was found. Isolation and structure elucidation with 1D and 2D NMR and HRMS were applied. The fraction containing m/z 369.0929 [M + H]+ comprised two highly similar compounds identified as thiazostatin D and thiazostatin E. The compounds possessed the same phenol-thiazole-thiazole molecular scaffold as the previously reported thiazostatin and watasemycin and have anti-proliferative activity against the breast adenocarcinoma cell line MCF7 and human melanoma cell line A2058, while no activity again the non-malignant immortalized fibroblast cell line MRC-5 was observed. We further showed that the manipulation of global transcriptional regulators, with sigH (ACSP50_0507) and anti-anti-σ factor coding ACSP50_0284 as an example, enabled the production manipulation of the 2-hydroxyphenylthiazoline family molecules. While the manipulation of sigH enabled the shift in the peak intensities between the five products of this pathway, ACSP50_0284 manipulation prevented their production. The production of a highly polar compound with m/z 462.1643 [M + H]+ and calculated elemental composition C19H27NO12 was activated under the ACSP50_0284 expression and is exclusively produced by the engineered strain.

Enhanced thermostability and catalytic activity for arginine deiminase from Enterobacter faecalis SK32.001 via combinatorial mutagenesis

Arginine deiminase (ADI) exhibits potential for clinical and industrial applications, yet its low thermostability and catalytic efficiency under physiological conditions limit its utility. In this work, the ADI of Enterococcus faecalis SK32.001 was rationally designed. A total of 120 combinatorial mutants, ranging from two-point to six-point mutations, were constructed by sequentially stacking single-point positive mutants (F44W, N163P, E220L, N318E, A336G, T340I). Among them, the mutants S604, S700, S601, and S606 exhibited higher Tm values, while the mutants S605, S547, S602, S607, S517, and S557 demonstrated enhanced enzymatic activity. Notably, the five-point mutant S547 (F44W/N163P/E220I/A336G/T340I) exhibited remarkable pH tolerance (pH 4.5–9.5, with over 80 % residual enzyme activity). Its specific enzyme activity reached 131.60 U/mg, which was 2-fold higher than that of wild enzyme. The Tm value of this enzyme increases to 64.04 °C, 11.62 °C higher than that of the wild-type enzyme. The structure predicted by AlphaFold 2 revealed that the increased rigidity, formation of new hydrogen bonds, and an increase in hydrophobic residues may account for the enhanced enzyme activity and thermostability. This research demonstrates that rational design strategies can effectively optimize enzyme properties, providing insights for the development of microbial enzymes with industrial relevance.

Adamantane-Type Nitridophosphate Phosphors AExLi10-2xP4N10 : Eu2+ via Medium-Pressure Ion-Exchange Reactions.

Nitridophosphates have emerged as promising host compounds in the field of solid-state lighting. Their industrial relevance has increased significantly, mainly due to recent advances in synthetic approaches under medium-pressure (MP) conditions, including ammonothermal synthesis and hot isostatic pressing (HIP). In this study, we report on the synthesis and characterization of the quaternary representatives CaxLi10-2xP4N10 (x=2, 2.7, 4) and Sr3Li4P4N10, prepared via a simplified ion exchange reaction under MP conditions, starting from the nitridophosphate-based lithium ion conductor Li10P4N10. The synthesis route allowed for the preservation of the anionic [P4N10]10- structural motif of the starting material, while simultaneously introducing potential doping sites for Eu2+ by incorporating divalent alkaline earth cations (Ca2+/Sr2+). Upon excitation of Eu2+ doped samples with blue light, strong luminescence due to parity-allowed 4f6(7F)5d1→4f7(8S7/2) transition can be observed in the red (Ca2Li6P4N10 : Eu2+: λmax=626 nm), yellow/orange (Ca2.7Li4.6P4N10 : Eu2+: λmax1=506 nm, λmax2=592 nm and Sr3Li4P4N10 : Eu2+: λmax=596 nm) and green (Ca4Li2P4N10 : Eu2+: λmax=546 nm) spectral regions of the visible light. The compounds presented, together with the simplified synthetic approach, demonstrate the significant potential of ion exchange on Li ion conductors for the development of novel nitridophosphates in the future.

Exiguolysin, a Novel Thermolysin (M4) Peptidase from Exiguobacterium oxidotolerans.

This study details a comprehensive biochemical and structural characterization of exiguolysin, a novel thermolysin-like, caseinolytic peptidase secreted by a marine isolate of Exiguobacterium oxidotolerans strain BW26. Exiguolysin demonstrated optimal proteolytic activity at 37 °C and pH 3, retaining 85% activity at 50 °C, highlighting its potential stability under broad reaction conditions. SDS-PAGE and LC-MS analysis identified the enzyme as a 32 kDa M4-family metalloprotease. Exiguolysin activity was inhibited by 1,10-phenanthroline, confirming its dependence on metal ions for activity. Zymographic analysis and substrate specificity assays revealed selective hydrolysis of matrix metalloproteinase (MMP) substrates but no activity against elastase substrates. Analysis of the predicted gene sequence and structural predictions using AlphaFold identified the presence and position of HEXXH and Glu-Xaa-Xaa-Xaa-Asp motifs, crucial for zinc binding and catalytic activity, characteristic of 'Glu-zincins' and members of the M4 peptidase family. High-throughput screening of a 20 × 20 N-alpha mercaptoamide dipeptide inhibitor library against exiguolysin identified SH-CH2-CO-Met-Tyr-NH2 as the most potent inhibitor, with a Ki of 1.95 μM. Notably, exiguolysin selectively inhibited thrombin-induced PAR-1 activation in PC-3 cells, potentially indicating a potential mechanism of virulence in modulating PAR-1 signalling during infection by disarming PARs. This is the first detailed characterization of a peptidase of the M4 (thermolysin) family in the genus Exiguobacterium which may have industrial application potential and relevance as a putative virulence factor.

The Influence of Firm Characteristics and Macroeconomic Factors on Financial Performance: Evidence from the Portuguese Hotel Industry

This study examines the determinants of the financial performance of the Portuguese hotel industry. Despite the economic relevance of the hotel industry and financial performance as an indicator of business survival, academic research on the factors that influence it in the context of this industry, particularly in Portugal, is not extensive. This study encompassed a sample of 738 hotel companies from 2016 to 2021, using data from the Orbis database. This research was based on the assumption that a company’s size, liquidity, the tangibility of its assets, and debt level influence financial performance in the hotel industry, as well as the assumption that gross domestic product and consumer sentiment also affect the business success of hotel companies. By applying a panel data methodology, the findings indicate that all variables showed significant influence on financial performance, except liquidity. The analysis also reveals that smaller companies were more negatively affected by the demand decline induced by the COVID-19 pandemic. To improve the financial performance of the Portuguese hotel industry, the findings suggest that policymakers must work towards ensuring diversified sources of financing for the hotel business, such as investment subsidies, so that companies can minimize debt, especially during periods of slow economic growth. Additionally, companies must promote management strategies that enhance self-financing. Both measures could help companies increase their size, taking advantage of good business opportunities to explore economies of scale.

Heterogeneous Asymmetric Hydrogenation of C═C and C═O Double Bonds

AbstractNowadays, heterogeneous catalysts play a crucial role in the field of asymmetric catalysis to produce enantiopure compounds for various applications. The unique properties of heterogeneous systems, such as high stability, reusability, or ease of separation, allow effective catalysis of asymmetric transformations and their further implementation in industrial processes. In this mini‐review, we address the recent trend in the synthesis of chiral heterogeneous catalysts and their subsequent application in asymmetric hydrogenation reactions. We focus on current advances in asymmetric hydrogenation reactions of C═C and C═O bonds due to their high relevance in the fine chemicals industry. Our main aim is to provide a short overview of this expanding field, its current challenges, and future perspectives.

A Bird’s Eye View on the Integration of Artificial Intelligence (AI) In Ayurveda

The integration of Artificial Intelligence (AI) into Ayurveda marks a significant advancement in traditional medical practices. This review article explores AI's multifaceted uses and relevance in the conventional Healthcare industry and Ayurveda. It also highlights the transformative potential of AI in Ayurveda while acknowledging the importance of maintaining the holistic essence of traditional practices. By embracing AI, Ayurveda can evolve to meet contemporary healthcare demands, offering a synergistic approach that combines ancient wisdom with cutting-edge technology. The article concludes with a discussion about the future of Ayurveda in the era of Artificial Intelligence.

Development of crystal optics for X-ray multi-projection imaging for synchrotron and XFEL sources.

X-ray multi-projection imaging (XMPI) is an emerging experimental technique for the acquisition of rotation-free, time-resolved, volumetric information on stochastic processes. The technique is developed for high-brilliance light-source facilities, aiming to address known limitations of state-of-the-art imaging methods in the acquisition of 4D sample information, linked to their need for sample rotation. XMPI relies on a beam-splitting scheme, that illuminates a sample from multiple, angularly spaced viewpoints, and employs fast, indirect, X-ray imaging detectors for the collection of the data. This approach enables studies of previously inaccessible phenomena of industrial and societal relevance such as fractures in solids, propagation of shock waves, laser-based 3D printing, or even fast processes in the biological domain. In this work, we discuss in detail the beam-splitting scheme of XMPI. More specifically, we explore the relevant properties of X-ray splitter optics for their use in XMPI schemes, both at synchrotron insertion devices and XFEL facilities. Furthermore, we describe two distinct XMPI schemes, designed to faciliate large samples and complex sample environments. Finally, we present experimental proof of the feasibility of MHz-rate XMPI at the European XFEL. This detailed overview aims to state the challenges and the potential of XMPI and act as a stepping stone for future development of the technique.

Developing low-lactose milk powder: A multi-enzyme approach to reduce Maillard browning

Preparation of low lactose milk and milk products have attracted the attention of consumers due to increasing prevalence of lactose intolerance. However, the physico-chemical properties of product prepared from the single enzyme application (β-galactosidase) possess a significant concern of Maillard browning. While previous studies adjusted spray drying conditions to address Maillard browning in low lactose powder, our research introduces a multi-enzyme system for lactose hydrolysis in concentrated skim milk to produce a spray-dried powder with reduced browning. Glucose oxidase (GOX) converts glucose into gluconic acid that lowers down the concentration of Maillard reaction products (MRP's) formed during manufacture of lactose hydrolysed milk products. The activity of GOX was enhanced when used along with catalase (CAT). Use of GOX + CAT in buffer solution (containing 9 % glucose) exhibited 61.44 % glucose reduction after 22 h of reaction. GOX (70 U/ml) along with CAT (25 U/ml) when added to milk after 5 h of β-galactosidase (9.53 U/ml) action resulted in significantly higher reduction of glucose (53.95 %) after 20 h with final milk pH of 6.5. Spray dried powder prepared using optimised multi-enzymes (β-galactosidase and GOX + CAT) treated milk revealed reduced browning characteristics i.e., 12.85 browning index as compared to the powder prepared from milk treated with β-galactosidase alone (16.37).Industrial relevance: The use of GOX + CAT during lactose hydrolysis could serve as a potential approach for mitigating browning characteristics in low-lactose milk and milk products. The multi-enzymatic system used to produce low-lactose milk can be easily adapted by large-scale industries to produce a powder with physico-chemical properties similar to traditional skim milk powder.

Impact of self-induced anaerobiosis fermentation (SIAF) on chemical and sensorial characteristics of Coffea canephora

Coffea canephora is responsible for over 40% of global production and holds industrial relevance, especially in the production of soluble coffee. However, issues related to beverage quality still need improvement to meet the demand for high-quality coffees. This study investigated chemical and sensory changes in Coffea canephora var. conilon during Self-induced Anaerobiosis Fermentation (SIAF) versus Conventional processing, with or without starter yeasts. Hanseniaspora opuntiae and Meyerozyma caribbica populations were monitored using qPCR, while sugar and acid concentrations were measured by HPLC. Pulped coffees showed higher sugar consumption (71%–79%) than natural ones (12%–24%) during 72 h of SIAF, with lactic acid uniquely present in SIAF treatments. GC-MS identified 35 volatile compounds in roasted coffees, with esters and ketones differing between SIAF and Conventional treatments. Ethyl isovalerate and ethyl palmitate were found only in Natural SIAF inoculated with H. opuntiae, which received the highest cupping score (82 points). Consumers perceived all Natural SIAF coffees as distinct from Natural Conventional. In Natural SIAF coffee, H. opuntiae contributed to an exotic and fruity profile, while in Pulped SIAF, M. caribbica yielded a balanced and mild coffee. The SIAF method, with or without yeast addition, holds the potential for producing specialty Canephora coffee.

Psychic Distance’s Impact on China’s Reverse M&A Innovation

ABSTRACT In this study, we examined Chinese firms’ cross-border reverse mergers and acquisitions (M&As). From the perspective of internal and external uncertainties, as well as the essence of psychic distance (PD), we established five dimensions of the PD of cross-border reverse M&A: cultural distance, national image, degree of internationalization, top management team (TMT)‘s overseas background, and perceived distance. Using fuzzy-set qualitative comparative analysis (fsQCA), we found that the impact of PD on innovation performance was a combination of multiple factors, showing three types of configurations: external uncertainty dominant, internal uncertainty dominant, and perceived distance dominant. We further explored the interactions between knowledge conditions, such as firm size, industry relevance, and relative knowledge scale, and PD. This study supplements and expands current theories on the internationalization of emerging market enterprises from the perspective of latecomer countries.

Transcriptomics identify the triggering of citrate export as the key event caused by manganese deficiency in Aspergillus niger.

Citric acid is produced on industrial scale by batch fermentation of the filamentous fungus Aspergillus niger. High-yield citric acid production requires a low (<5 ppb) manganese(II) ion concentration in the culture broth. However, the requirement for this deficiency has not been investigated on a functional genomics level. Here, we compared the transcriptome of a citric acid hyper-producer A. niger strain grown under citric acid-producing conditions in 6-L scale bioreactors at Mn2+ ion-deficient (5 ppb) and Mn2+ ion-sufficient (100 ppb) conditions at three early time points of cultivation. We observed that Mn2+ deficiency triggers an upregulation of the citrate exporter gene cexA and provides functional evidence that this event is responsible for citrate overflow. In addition to the industrial relevance, this is the first study that examined the role of Mn2+ ion deficiency in a heterotrophic eukaryotic cell on a genome-wide scale.

Tensile and shear behavior of recycled AA 6060 aluminium chips by direct hot extrusion

Solid state recycling of aluminium chips is a promising technique to reduce environmental impacts of secondary production. As the recycling process induces a highly oriented microstructure, this study aims to quantify the mechanical properties of extrudates and identify the role of chip boundaries in the fracture behavior. Tensile and shear tests are performed on heat treated AA 6060 alloy and analyzed using digital image correlation. The tensile behavior of the chip-based material is similar to its cast-based counterpart, reaching a yield strength of 230 MPa. Shear properties are close for small deformations, although the chip-based material have lower ductility due to the early onset of damage at the chip boundary. These results confirm the industrial relevance of this process for large scale recycling of aluminium.