Sustainable Platform Research Articles

3D bioprinted in vitro epilepsy models for pharmacological evaluation in temporal lobe epilepsy

This study introduces a novelin vitromodel for intractable temporal lobe epilepsy (TLE) utilizing 3D bioprinting technology, aiming to replicate the complex neurobiological characteristics of TLE more accurately. Primary neural cell constructs were fabricated and subjected to epileptiform-inducing conditions, fostering synaptic proliferation and neuronal loss. Systematically electrophysiological and immunofluorescent analyses indicated that significant synaptic connectivity and sustained epileptiform activities within the constructs akin to those observed in human epilepsy models. Notably, the model responded to treatments with phenytoin and tetrodotoxin, illustrating its potential utility in drug response kinetics studies. Furthermore, we performed drug permeability simulations using COMSOL Multiphysics to analyze the diffusion characteristics of these drugs within the constructs. These results confirm that our 3D bioprinted neural model provides a physiologically relevant and ethically sustainable platform, which is beneficial for studying TLE mechanisms and developing therapeutic strategies with high accuracy and clinical relevance.

Molecular quantum chemical data sets and databases for machine learning potentials

Abstract The field of computational chemistry is increasingly leveraging machine learning (ML) potentials to predict molecular properties with high accuracy and efficiency, providing a viable alternative to traditional quantum mechanical (QM) methods, which are often computationally intensive. Central to the success of ML models is the quality and comprehensiveness of the data sets on which they are trained. Quantum chemistry data sets and databases, comprising extensive information on molecular structures, energies, forces, and other properties derived from QM calculations, are crucial for developing robust and generalizable ML potentials.
In this review, we provide an overview of the current landscape of quantum chemical data sets and databases. We examine key characteristics and functionalities of prominent resources, including the types of information they store, the level of electronic structure theory employed, the diversity of chemical space covered, and the methodologies used for data creation. Additionally, an updatable resource is provided to track new data sets and databases at https://github.com/Arif-PhyChem/datasets_and_databases_4_MLPs. This resource also has the overview in a machine-readable database format with the Jupyter notebook example for analysis.
Looking forward, we discuss the challenges associated with the rapid growth of quantum chemical data sets and databases, emphasizing the need for updatable and accessible resources to ensure the long-term utility of them. We also address the importance of data format standardization and the ongoing efforts to align with the FAIR principles to enhance data interoperability and reusability. Drawing inspiration from established materials databases, we advocate for the development of user-friendly and sustainable platforms for these data sets and databases.

High-Entropy Prussian Blue Analogue Derived Heterostructure Nanoparticles as Bifunctional Oxygen Conversion Electrocatalysts for the Rechargeable Zinc-Air Battery.

In response to energy challenges, rechargeable zinc-air batteries (RZABs) serve as an ideal platform for energy storage with a high energy density and safety. Nevertheless, addressing the sluggish oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) in RZAB requires highly active and robust electrocatalysts. High-entropy Prussian blue analogues (HEPBAs), formed by mixing diverse metals within a single lattice, exhibit enhanced stability due to their increased mixing entropy, which lowers the Gibbs free energy. HEPBAs innately enable sacrificial templating, an effective way to synthesize complex structures. Impressively, in this study, we successfully transform HEPBAs into exquisite multiphase (multimetallic alloy, metal carbide, and metal oxide) heterostructure nanoparticles through a controlled synthesis process. The elusive multiphase heterostructure nanoparticles manifested two active sites for selective ORR and OER. By integrating CNT into HEPBA-derived nanoparticles (HEPBA/CNT-800), the HEPBA/CNT-800 demonstrates superior activity toward both ORR (E1/2 = 0.77 V) in a 0.1 M KOH solution and the OER (η = 330 mV at 50 mA cm-2) in a 1 M KOH solution. The RZAB with a HEPBA/CNT-based air electrode demonstrated an open-circuit voltage of 1.39 V and provided a significant energy density of 71 mW cm-2. Moreover, the charge and discharge cycles lasting up to 40 h at a current density of 5 mA cm-2 demonstrate its excellent stability. This work provides an alternative avenue for the rational design of HEPBA's derivative for a sustainable rechargeable metal-air battery platform.

ВЛИЯНИЕ ЦИФРОВЫХ ТЕХНОЛОГИЙ НА ОБУЧЕНИЕ В МЕДИЦИНСКИХ ВУЗАХ: СОЦИОЛОГИЧЕСКИЕ АСПЕКТЫ И ВЛИЯНИЕ НА ЗДРАВООХРАНЕНИЕ

This article is dedicated to the study of the impact of digital technologies on the educational process in medical universities, with a focus on sociological aspects and their significance for the healthcare system. It examines how the use of digital tools and platforms changes students' approaches to studying medicine and shapes their perception of the role of technology in improving the quality of medical services and ensuring public health. The informational and educational environment transforms traditional teaching methods, providing new opportunities for updating curricula and creating conditions for the rapid exchange of information between students and educators. Digitalization of the educational process implies a change in the roles of all participants in the educational process. Students become researchers actively using information and communication technologies to acquire knowledge and practical skills. At the same time, educators assume the role of mentors, supporting students in their learning and possessing the necessary competencies in digital technologies. The article analyzes the most effective tools for facilitating interaction in the educational environment, such as virtual boards like Google Jamboard, Miro, and Padlet, which contribute to the development of critical thinking and presentation skills among students. Additionally, the article addresses the challenges faced by medical universities in the process of integrating digital technologies. Effective implementation of digitalization requires strategic planning and a comprehensive approach to updating educational programs, which will create a sustainable platform for the future professional growth of students. In conclusion, the authors emphasize that digital technologies, along with innovative teaching methods, significantly enhance the quality of education in medical universities. This, in turn, contributes to the training of highly qualified specialists capable of effectively working in modern healthcare conditions, ultimately having a positive impact on public health and the organization of healthcare as a whole.

Long-term average throughput-utilization utility maximization in platform-aggregated manufacturing service collaboration

Enhancing capacity utilization of manufacturing resources is of utmost importance in tackling the current challenges of meeting customized and small-batch market demands. Given the research highlights on platform-based manufacturing service collaboration (MSC) offering high-quality service solutions, efficient service scheduling strategies are urgently needed to maximize overall utility amidst great computational complexity and unpredictable task arrivals. To address this issue, this paper proposes a novel distributed online task dispatch and service scheduling (DOTDSS) strategy in platform-aggregated MSC. What sets our method apart is its goal to optimize a long-term average utility performance with considering queuing dynamics of manufacturing services in multi-task processing, thereby maintaining sustainable platform operations. Firstly, we jointly consider task dispatch and service scheduling decisions into the formulation of a quality-of-service aware (QoS) stochastics optimization problem. The newly constructed logarithmic utility function effectively strikes a trade-off between the throughput and capacity utilization of manufacturing services with diverse capabilities. By incorporating the goal of reducing queue lengths, we then transform the optimization problem into a form with less computational complexity and guaranteed optimality using Lyapunov optimization. We further propose a DOTDSS strategy that relies solely on the current system state and queue information to generate scalable MSC solutions. It does not need to predict task arrival statistics in advance, and it exhibits great adaptability to uncertainties in task arrivals and service availabilities. Finally, numerical results based on simulation data and real workload traces demonstrate the effectiveness of our method. It also shows that the aggregation collaboration pattern among a group of candidates can achieve better performance than that by the optimal candidate alone.

Progress in Designing Therapeutic Antimicrobial Hydrogels Targeting Implant-associated Infections: Paving the Way for a Sustainable Platform Applied to Biomedical Devices.

Implantable biomedical devices have found widespread use in restoring lost functions or structures within the human body, but they face a significant challenge from microbial-related infections, which often lead to implant failure. In this context, antimicrobial hydrogels emerge as a promising strategy for treating implant-associated infections owing to their tunable physicochemical properties. However, the literature lacks a comprehensive analysis of antimicrobial hydrogels, encompassing their development, mechanisms, and effect on implant-associated infections, mainly in light of existing in vitro, in vivo, and clinical evidence. Thus, this review addresses the strategies employed by existing studies to tailor hydrogel properties to meet the specific needs of each application. Furthermore, this comprehensive review critically appraises the development of antimicrobial hydrogels, with a particular focus on solving infections related to metallic orthopedic or dental implants. Then, preclinical and clinical studies centering on providing quantitative microbiological results associated with the application of antimicrobial hydrogels are systematically summarized. Overall, antimicrobial hydrogels benefit from the tunable properties of polymers and hold promise as an effective strategy for the local treatment of implant-associated infections. However, future clinical investigations, grounded on robust evidence from in vitro and preclinical studies, are required to explore and validate new antimicrobial hydrogels for clinical use.

Long-Term Autotrophic Growth and Solar-to-Chemical Conversion in Shewanella Oneidensis MR-1 through Light-Driven Electron Transfer.

Members of the genus Shewanella are known for their versatile electron accepting routes, which allow them to couple decomposition of organic matter to reduction of various terminal electron acceptors for heterotrophic growth in diverse environments. Here, we report autotrophic growth of Shewanella oneidensis MR-1 with photoelectrons provided by illuminated biogenic CdS nanoparticles. This hybrid system enables photosynthetic oscillatory acetate production from CO2 for over five months, far exceeding other inorganic-biological hybrid system that can only sustain for hours or days. Biochemical, electrochemical and transcriptomic analyses reveal that the efficient electron uptake of S. oneidensis MR-1 from illuminated CdS nanoparticles supplies sufficient energy to stimulate the previously overlooked reductive glycine pathway for CO2 fixation. The continuous solar-to-chemical conversion is achieved by photon induced electric recycling in sulfur species. Overall, our findings demonstrate that this mineral-assisted photosynthesis, as a widely existing and unique model of light energy conversion, could support the sustained photoautotrophic growth of non-photosynthetic microorganisms in nutrient-lean environments and mediate the reversal of coupled carbon and sulfur cycling, consequently resulting in previously unknown environmental effects. In addition, the hybrid system provides a sustainable and flexible platform to develop a variety of solar products for carbon neutrality.

Long‐Term Autotrophic Growth and Solar‐to‐Chemical Conversion in Shewanella Oneidensis MR‐1 through Light‐Driven Electron Transfer

AbstractMembers of the genus Shewanella are known for their versatile electron accepting routes, which allow them to couple decomposition of organic matter to reduction of various terminal electron acceptors for heterotrophic growth in diverse environments. Here, we report autotrophic growth of Shewanella oneidensis MR‐1 with photoelectrons provided by illuminated biogenic CdS nanoparticles. This hybrid system enables photosynthetic oscillatory acetate production from CO2 for over five months, far exceeding other inorganic‐biological hybrid system that can only sustain for hours or days. Biochemical, electrochemical and transcriptomic analyses reveal that the efficient electron uptake of S. oneidensis MR‐1 from illuminated CdS nanoparticles supplies sufficient energy to stimulate the previously overlooked reductive glycine pathway for CO2 fixation. The continuous solar‐to‐chemical conversion is achieved by photon induced electric recycling in sulfur species. Overall, our findings demonstrate that this mineral‐assisted photosynthesis, as a widely existing and unique model of light energy conversion, could support the sustained photoautotrophic growth of non‐photosynthetic microorganisms in nutrient‐lean environments and mediate the reversal of coupled carbon and sulfur cycling, consequently resulting in previously unknown environmental effects. In addition, the hybrid system provides a sustainable and flexible platform to develop a variety of solar products for carbon neutrality.

CuBe: a geminivirus-based copper-regulated expression system suitable for post-harvest activation.

The growing demand for sustainable platforms for biomolecule manufacturing has fuelled the development of plant-based production systems. Agroinfiltration, the current industry standard, offers several advantages but faces limitations for large-scale production due to high operational costs and batch-to-batch variability. Alternatively, here, we describe the CuBe system, a novel bean yellow dwarf virus (BeYDV)-derived conditional replicative expression platform stably transformed in Nicotiana benthamiana and activated by copper sulphate (CuSO4), an inexpensive and widely used agricultural input. The CuBe system utilizes a synthetic circuit of four genetic modules integrated into the plant genome: (i) a replicative vector harbouring the gene of interest (GOI) flanked by cis-acting elements for geminiviral replication and novelly arranged to enable transgene transcription exclusively upon formation of the circular replicon, (ii) copper-inducible Rep/RepA proteins essential for replicon formation, (iii) the yeast-derived CUP2-Gal4 copper-responsive transcriptional activator for Rep/RepA expression, and (iv) a copper-inducible Flp recombinase to minimize basal Rep/RepA expression. CuSO4 application triggers the activation of the system, leading to the formation of extrachromosomal replicons, expression of the GOI, and accumulation of the desired recombinant protein. We demonstrate the functionality of the CuBe system in N. benthamiana plants expressing high levels of eGFP and an anti-SARS-CoV-2 antibody upon copper treatment. Notably, the system is functional in post-harvest applications, a strategy with high potential impact for large-scale biomanufacturing. This work presents the CuBe system as a promising alternative to agroinfiltration for cost-effective and scalable production of recombinant proteins in plants.

Melt Polycondensation Strategy to Access Unexplored l-Amino Acid and Sugar Copolymers.

Biodegradable polymers from bioresources are highly in demand for the development of sustainable polymer platforms for commodity plastics and in the biomedical field. Here, an elegant one-pot synthetic strategy is developed, for the first time, to access unexplored hybrid polymers from two naturally abundant resources: carbohydrates (sugars) and l-amino acids. A bottleneck in the synthetic strategy is overcome by tailor-making d-mannitol-based six- and five-membered bicyclic acetalized diols, and their structures are confirmed by single-crystal X-ray diffraction and 2D NMR spectroscopy. l-Amino acids are converted into ester-urethane functional monomers, and they are polymerized with sugar-diols under solvent-free melt polycondensation to yield biodegradable poly(ester-urethane)s. Acid-catalyzed deprotection yielded amphiphilic polymers having exclusively alternating residues of sugar and l-amino acid in the polymer backbone. The polymer is self-assembled into 200 ± 10 nm sized nanoparticles that can encapsulate fluorescent dyes, are nontoxic to cells up to 250 μg/mL, and are readily endocytosed for lysosomal enzymatic biodegradation at the cellular level.

Novel bioassays based on 3D-printed device for sensing of hypoxia and p53 pathway in 3D cell models.

Cell-based assays are widely exploited for drug screening and biosensing, providing useful information about bioactivity of target analytes and complex biological samples. It is well recognized that 3D cell models are required to achieve highly valuable information, also from the perspective of replacing animal models. However, bioassays relying on 3D cell models are generally highly demanding in terms of facilities, equipment, and skilled personnel requirements. To reduce cost, increase sustainability, and provide a flexible 3D cell-based platform for bioassays, we here report a novel approach based on a 3D-printed microtissue device. To assess the suitability of this strategy for reporter gene technology, we selected to monitor two molecular pathways which were of interest in several applications, hypoxia signaling and the p53 pathway. The investigation of such pathways is highly relevant in fields spanning from drug screening to bioactivity monitoring for industrial by-product valorization. Microtissues of human hepatocarcinoma (HepG2) and human embryonic kidney (Hek293T) cell lines were obtained with a low-cost and sustainable chip platform and bioassays were developed to monitor the hypoxia-inducible factors (HIFs) and the p53 tumor suppressor pathway. HepG2 and Hek293T 3D cell models were genetically engineered to express the Luc2P from Photinus pyralis firefly either under the regulation of p53 or HIF response elements. The bioassays allowed quantitative assessment of hypoxia and tumoral activity with 1,10-phenanthroline for HIF and with doxorubicin for p53 pathway activation, respectively, showing good potential for applications of this sustainable and low-cost 3D-printed microfluidic platform for bioactivity analyses, drug screening, and precision medicine.

Building locally anchored implementation science capacity: the case of the adolescent HIV implementation science alliance-supported local iS alliances.

The Fogarty International Center-led Adolescent HIV Implementation Science Alliance (AHISA) supports region-/country-specific implementation science (IS) alliances that build collaborations between research, policy, and program partners that respond to local implementation challenges. AHISA supported the development of seven locally-led IS alliances: five country-specific (i.e., Kenya, South Africa, Tanzania, Uganda, and Zambia), one in Central and West Africa, and one with youth researchers. This article outlines the aims, activities, and outcomes of local alliances, demonstrating how they enhance sustainable IS activities to address local challenges. We conducted a desk review of each alliance's funding applications, reports, and data from the initial findings of a larger AHISA evaluation. The review analyzes common approaches, highlights their local relevance, and summarizes initial outcomes. The local alliances have a common goal: to expand implementation of successful interventions to improve adolescent HIV. We identified four overarching themes across the local alliances' activities: capacity building, priority setting, stakeholder engagement, and knowledge dissemination. Research capacity building activities include long-term mentorship between junior and senior researchers and short-term training for non-research partners. Setting priorities with members identifies local research needs and streamlines activities. Alliances incorporate substantial engagement between partners, particularly youth, who may serve as leaders and co-create activities. Dissemination shares activities and results broadly. Local IS alliances play a key role in building sustainable IS learning and collaboration platforms, enabling improved uptake of evidence into policy and programs, increased IS research capacity, and shared approaches to addressing implementation challenges.

Clarithromycin-tailored cubosome: A sustained release oral nano platform for evaluating antibacterial, anti-biofilm, anti-inflammatory, anti-liver cancer, biocompatibility, ex-vivo and in-vivo studies

The clinical implication of clarithromycin (CLT) is compromised owing to its poor solubility and, subsequently, bioavailability, unpalatable taste, rapid metabolism, short half-life, frequent dosing, and adverse effects. The present investigation provides an innovative sustained-release oral drug delivery strategy that tackles these challenges. Accordingly, CLT was loaded into a cubosome, a vesicular system with a bicontinuous cubic structure that promotes solubility and bioavailability, provides a sustained release system combating short half-life and adverse effects, masks unpleasant taste, and protects the drug from destruction in gastrointestinal tract (GIT). Nine various formulas were fabricated using the emulsification method. The resulting vesicles increased the encapsulation efficiency (EE %) from 57.64 ± 0.04 % to 96.80 ± 1.50 %, the particle size (PS) from 147.30 ± 21.77 nm to 216.61 ± 5.37 nm, and the polydispersity index (PDI) values ranged from 0.117 ± 0.024 to 0.278 ± 0.073. The zeta potential (ZP) changed from −20.65 ± 2.01 mV to −33.98 ± 2.60 mV. Further, the release profile exhibited a dual release pattern within 24 h., with the percentage of cumulative release (CR %) expanding from 30.06 ± 0.42 % to 98.49 ± 2.88 %, optimized formula was found to be CC9 with EE % = 96.80 ± 1.50 %, PS = 216.61 ± 5.37 nm, ZP = −33.98 ± 2.60 mV, PDI = 0.117 ± 0.024, CR % = 98.49 ± 2.88 % and IC50 of 0.74 ± 0.19 µg/mL against HepG-2 cells with scattered unilamellar cubic non-agglomerated vesicles. Additionally, it exhibited higher anti-MRSA biofilm, relative bioavailability (2.8 fold), and anti-inflammatory and antimicrobial capacity against Pseudomonas aeruginosa, Escherichia coli, Bacillus subtilis, and Staphylococcus aureus compared to free CLT. Our data demonstrate that cubosome is a powerful nanocarrier for oral delivery of CLT, boosting its biological impacts and pharmacokinetic profile.

All-optical combinational logical units featuring fifth-order cascade

Modern computational technologies are increasingly encountering significant limitations, driving a shift towards alternative paradigms such as optical computing. In this study, we introduce novel all-optical combinational logic units based on diffractive neural networks (D2NNs), designed to perform high-order logical operations both efficiently and swiftly using only two modulation layers. This innovative design offers increased processing speed, improved energy efficiency, robust environmental stability, and high error tolerance, making it exceptionally well-suited for a broad spectrum of applications in optical computing and communications. By leveraging transfer learning, we successfully developed a fifth-order cascaded combinational logic circuit for practical information transmission system. Furthermore, we reveal a pioneering application of our device in Optical Time Division Multiplexing (OTDM), demonstrating its capability to manage high-speed data transfer seamlessly without the need for electronic conversion. Extensive simulations and experimental validations highlight the potential of our model as a foundational technology for future optical computing architectures, paving the way toward more sustainable and efficient optical data processing platforms.

Evolution-assisted engineering of E. coli enables growth on formic acid at ambient CO2 via the Serine Threonine Cycle

Atmospheric CO2 poses a major threat to life on Earth by causing global warming and climate change. On the other hand, it can be considered as a resource that is scalable enough to establish a circular carbon economy. Accordingly, technologies to capture and convert CO2 into reduced one-carbon (C1) compounds (e.g. formic acid) are developing and improving fast. Driven by the idea of creating sustainable bioproduction platforms, natural and synthetic C1-utilization pathways are engineered into industrially relevant microbes. The realization of synthetic C1-assimilation cycles in living organisms is a promising but challenging endeavour. Here, we engineer the Serine Threonine Cycle, a synthetic C1-assimilation cycle in Escherichia coli to achieve growth on formic acid. Our stepwise engineering approach in tailored selection strains combined with adaptive laboratory evolution experiments enabled formatotrophic growth of the organism. Whole genome sequencing and reverse engineering allowed us to determine the key mutations linked to pathway activity. The Serine Threonine Cycle strains created in this work use formic acid as a carbon and energy source and can grow at ambient CO2 cultivation conditions. This work sets an example for the engineering of complex C1-assimilation cycles in heterotrophic microbes.

Scalable membrane-assisted ion exchange (MEM-IE) strategy for organic acid purification in biorefinery process

The transition towards a carbon-neutral society necessitates radical approaches in the bio-refinery pipeline, particularly in the production of organic acids. The current downstream process from a dilute fermentation broth is limited by the extensive use of acids and bases, along with heavy reliance on energy-intensive distillation. In this work, we propose an entirely membrane-based process to purify organic acids (e.g., gluconic acid) from a crude solution of catalytic dehydrogenation of glucose. To facilitate downstream purification, we introduce an innovative membrane-assisted ion exchange (MEM-IE) strategy, which is a scalable process that can protonate ionic compounds entirely in the solution phase. Instead of a solid ion exchange resin, a bulky yet soluble acidification agent is used to protonate the target compound, which can be easily separated via a size exclusion membrane. We selected non-toxic poly (4-styrene sulfonic acid) (H-PSS, 75 kDa) as the acidification agent to selectively protonate gluconate ions and to enable facile fractionation. The proposed MEM-IE strategy can overcome the scale-up limitation of traditional solid ion exchange resins and can be applied to many types of ionic compounds. The versatility of the proposed process was also demonstrated on formate and lactate compounds. A techno-economic evaluation using the Verberne cost model showed that the proposed process achieves an 80 % reduction in energy consumption compared to the fermentation-based process, and the return on investment (ROI) of a 330 ton-per-day plant was less than a year. The proposed membrane-based process for the purification of organic acids, particularly the MEM-IE strategy, offers a sustainable and energy-efficient downstream separation platform.

Pyrolytic conversion of cattle manure into value-added products and application of biochar for adsorption of sulfamethoxazole

This study investigated the thermochemical conversion of cattle manure (CM) to propose a sustainable platform for its valorization, and explored the applicability of CM-derived biochar (CMB) as an environmental medium for the adsorptive removal of sulfamethoxazole (SMZ). CM pyrolysis was conducted under two atmospheric conditions (N2 and CO2), and the pyrogenic products were quantified and characterized. Real-time syngas monitoring revealed that CO2 enhanced CO generation from the CM, leading to the formation of a highly porous carbon structure in the produced biochar (CMBCO2). The adsorptive removal of SMZ by CMBCO2 was highly dependent on the pH conditions. The adsorption kinetics of SMZ onto CMBCO2 reached equilibrium within 540min, following a pseudo-second-order model. The SMZ adsorption isotherms fit the Langmuir-Freundlich model, highlighting the importance of chemisorption in the adsorption process. X-ray photoelectron spectroscopy revealed that SMZ was adsorbed by non-electrostatic mechanisms, including hydrogen bonding, Lewis acid-base interactions, surface complexation, and π-π electron-donor acceptor interactions. This study presents an exemplary strategy for converting livestock waste into valuable resources, enabling the harvesting of energy resources and the production of treatment media for environmental remediation.

Advances in microalgae-based lutein production and extraction: enhancing bioavailability and applications in health and industry

BackgroundNatural lutein, a bioactive xanthophyll, is widely used in pharmaceuticals, nutraceuticals, aquaculture, and cosmetics due to its broad health benefits, especially in protecting ocular health and chronic and acute syndromes. Microalgae have become a preferred sustainable platform for high-value lutein production, surpassing marigold petals in content (∼2 mg g−1) and consistency. MethodsThis review highlights advancements in upstream lutein production and downstream extraction techniques, focusing on scalable and sustainable bioprocesses. Under optimal conditions, microalgae cultivation in open and closed reactors for 2–4 weeks is examined. Comparative yields among studies are analyzed, detailing which technologies and their combinations offer superior yields for commercial production. Significant FindingsMicroalgae demonstrate high lutein content (∼10–17 mg g−1) and productivity (2–7 mg L−1d−1). The review identifies key advancements in smart delivery systems and bioavailability enhancement strategies, which are novel aspects of lutein research. The review aims to expand lutein distribution and its health benefits by addressing production challenges, market potential, and commercial opportunities. Aligning with Sustainable Development Goals (SDGs), the review promotes good health (SDG 3), economic growth (SDG 8), industry innovation (SDG 9), and climate action (SDG 13).

Electric fields to support microalgae growth with a differentiated biochemical composition

Microalgae are a group of microorganisms well-known for their high metabolic plasticity and biomass with commercial interest for several industries. In the present work, the influence of in-situ electric field application (INEF) on the growth and biochemical composition of Pavlova gyrans was, for the first time, assessed. Electrical protocols were tested, namely by applying INEF in different growth stages, in varying treatment times and even by combining it with dark phase of cells' photoperiod. INEF did not promote a stimulatory effect on growth but influenced the biochemical composition of P. gyrans – maximum increases of 74.9 and 66.2 % in the chlorophyll a and carotenoid content and of 4.72, 18.7 and 5.41 % in the lipid, carbohydrate and protein content were observed in independent experiments. Hence, with this study, the potential of INEF application as a strategy to modulate growth and to promote biochemical composition alterations was proven. Industrial relevanceMicroalgae, with their unique ability to efficiently convert sunlight and carbon dioxide into biomass, offer a sustainable platform for the synthesis of diverse bioactive compounds. By subjecting microalgae to controlled electric stress conditions, their metabolic pathways can be redirected towards the production of specific target compounds. This strategy has the potential to enhance the yield of high-value molecules, including biofuels, pharmaceuticals, nutraceuticals, and pigments, whilst minimizing resource inputs. Additionally, metabolic stress responses in microalgae often trigger the accumulation of secondary metabolites with bioactive properties. Harnessing the metabolic plasticity of microalgae through controlled stress manipulation represents a cutting-edge strategy for sustainable and economically viable bioproduction systems that align with the goals of green chemistry and circular economy principles.

Poly(3-hydroxybutyrate-co-3-hydroxyvalerate-co-3-hydroxyhexanoate)-based microspheres as a sustained platform for Huperzine A delivery for alzheimer's disease therapy

Huperzine A (HupA) is used in Alzheimer's disease (AD) therapy for its effective inhibition of acetylcholinesterase (AChE) and enhancement of cholinergic neuronal function. However, direct oral administration and injection of HupA cause side effects like nausea, anorexia, and rapid metabolism. Using a tripolymer, poly(3-hydroxybutyrate-co-3-hydroxyvalerate-co-3-hydroxyhexanoate (PBVHx), from the polyhydroxyalkanoate (PHA) family synthesized via synthetic biology, we present a novel AD therapy strategy with peritoneally administered PBVHx microspheres loaded with HupA (HupA-PBVHxMs). This approach extends HupA's metabolic duration in the blood and brain, enhancing AChE inhibition efficacy. Uniformly sized HupA-PBVHxMs, created using microfluidics and rotary evaporation, show up to 70.4 % drug encapsulation efficiency, sustained HupA release for 40 days, reduced neurotoxicity from Aβ25–35, and maintained in vivo HupA supply and AChE inhibition for over 20 days. In cognitive tests, HupA-PBVHxMs improved function in AD mice. Thus, PBVHx microspheres with slower HupA release and lower biotoxicity offer a superior platform for sustained AChE inhibitor release, outperforming commercial PLGA microspheres.