Activity Profile Research Articles

Characterization of Peptide Profiles and the Hypoallergenic and High Antioxidant Activity of Whey Protein Hydrolysate Prepared Using Different Hydrolysis Modes.

Food proteins and peptides are generally considered a source of dietary antioxidants. The aim of this study was to investigate the antioxidant activity, allergenicity, and peptide profiles of whey protein hydrolysates (WPHs) using different hydrolysis methods. The results demonstrated that the degrees of hydrolysis of the hydrolysates with one-step (O-AD) and two-step (T-AD) methods reached 16.25% and 17.64%, respectively. The size exclusion chromatography results showed that the O-AD had a higher content of >5 and <0.3 kDa, and the distribution of peptide profiles for the two hydrolysates was significantly different. Furthermore, 5 bioactive peptides and 15 allergenic peptides were identified using peptidomics. The peptide profiles and the composition of the master proteins of the O-AD and T-AD were different. The DPPH and ABTS radical scavenging abilities of WPHs were measured, and hydrolysates were found to exhibit a strong radical scavenging ability after being treated using different hydrolysis methods. An enzyme-linked immunosorbent assay showed that the sensitization of WPHs was significantly reduced. This study may provide useful information regarding the antioxidant properties and allergenicity of WPHs.

Metabolism and release of characteristic components and profiles of enzymatic activities during fermentation of Massa Medicata Fermentata

Various enzymes secreted by microorganisms during fermentation of Massa Medicata Fermentata (MMF) play a crucial role in conversion of the chemical substances for better clinical application. However, enzyme-driven transformation of chemical compounds during MMF fermentation has not been fully unveiled. Our findings revealed that MMF fermented with a mixture of wheat bran (WB)-flour (2:1) was observed with high enzymatic activities, alongside distinguished appearance. The activities of protease, ester bond hydrolase for cCGA and EF, and glycoside hydrolase all increased with the extended fermentation time of MMF, reaching 14.84×10−8±0.3436×10−8, 0.05456×10−8±0.0017×10−8, 0.5715×10−8±0.1285×10−8, and 15.25×10−8±0.01389×10−8 Kat/g on the 8th day of fermentation. Moreover, protease has been proven to drive the conversion of WB proteins into amino acids by precolumn phenyl isothiocyanate derivatization. Besides, transformation patterns of ester bond hydrolase on substrate components were revealed, in which cryptochlorogenic acid was decomposed into caffeic acid and quinic acid, and ethyl ferulate was metabolized into ferulic acid. By glycoside hydrolase, amygdalin was transformed into prunasin and benzaldehyde. This study reveals the enzyme-mediated transformation patterns of the focused components during fermentation of MMF, laying foundation for further elucidation of its fermentation mechanism and elevation of quality control.

Polyphenolic Profile and Antioxidant Activity of Whole Grape Juices from Vitis labrusca and Brazilian Hybrid Grapes in Two Training Systems.

The phenolic profile and antioxidant activity of whole grape juices from Vitis labrusca and Brazilian hybrids in two training systems were analyzed. Genotypes of V. labrusca ('Bordô' and 'Isabel') and Brazilian hybrids ('IAC 138-22 Máximo' and 'BRS Violeta') were grafted onto the rootstock 'IAC 766 Campinas' (106-8 'Mgt' × Vitis caribaea) and trained on low and high trellis. After harvest, the grapes were destemmed and the berries macerated in a roller crusher. Following hot extraction without pressurization of the pomace and gentle pressing of the blend (skins, must, and seeds), the juices were bottled in amber glass bottles and pasteurized. The physicochemical and colorimetric parameters of the juices, as well as the levels of flavonoids, phenolic compounds, total monomeric anthocyanins, antioxidant activity, and polyphenolic profile, were evaluated. The juices were also subjected to sensory analysis (CAAE: 65549817.7.0000.5411). There was broad variation in all assessed characteristics. The results obtained demonstrate that the training system and grape genotype used in juice production are highly related to the presence of sugars, acidity, and bioactive compounds. Juices made from 'Bordô', 'IAC 138-22 Máximo' and 'BRS Violeta' grapes stood out from 'Isabel' juices, the main grape variety used in Brazilian juice and wine production. All juices contain bioactive compounds in considerable concentrations, indicating beverages with high antioxidant activity and, consequently, high biological potential, with the use of high trellis in vine cultivation potentially increasing concentrations.

A comprehensive review on the development of chiral Cu, Ni, and Zn complexes as pharmaceutical agents over the past decades: Synthesis, molecular structure and biological activity.

Chirality is a fundamental and widespread geometric structural property in living organisms that most biomacromolecules including nucleic acids, proteins and enzymes, possess. Consequently, the development of chiral drugs capable of binding specific targets have gradually gained wide attention in recent decades due to their selective effects on a broad spectrum of biological events ranging from cell metabolism to cell fate. In this context, the synthesis of chiral compounds as promising therapeutic candidates has assumed a major role in drug discovery. Among them, chiral metal complexes have attracted considerable interest due to their unique and intriguing structural features that could enable overcoming side effects and drug-resistance phenomena of metal-based drugs currently in the market such as cisplatin. In the current scenario, an in-depth overview of non-platinum chiral complexes needs to be presented and carried forward. Therefore, in this perspective article, an update of the scientific development of bioactive chiral copper, zinc and nickel complexes have been reported since they have not been thoroughly reviewed so far. Specifically, we focused the article mainly on metal complexes containing chiral ligands (type 2 chirality) as in literature they are more numerous than those with chirality at the metal center (type 1 chirality). Herein, not only their biological activity but also their mechanism of action is summarized. Furthermore, in the final section of the article we have highlighted copper-based complexes as those with a superior biological activity profile and greater prospects for development as a drug.

Gold nanoparticles for photothermal therapy – Influence of experimental conditions on the properties of resulting AuNPs

Gold nanoparticles (AuNPs)-mediated Photothermal Therapy (PTT) is a minimally-invasive therapeutic approach that uses AuNPs to convert light into heat, leading to the thermal ablation of tumors. Thus, the efficacy of this strategy strongly relies on the photothermal conversion potential of AuNPs. The ability to convert light into heat can be enhanced by tuning the physicochemical and optical properties of AuNPs. This can be achieved by changing the conditions of AuNP's synthesis, such as the order of addition of reagents. The present work entails to explore how varying the order of reagents addition modulates the properties of AuNPs, particularly enhancing the photothermal conversion potential of the resulting AuNPs and consequently, improving PTT efficacy. For this, eleven different AuNPs' nanoformulations were synthetized following different sequences of addition of reagents. These nanoformulations were characterized regarding their physicochemical properties namely size, surface charge, gold concentration, surface morphology and maximum absorbance wavelength. In addition, their thermal activation profiles were determined in vitro. Furthermore, the biocompatibility of different nanoformulations was also assessed. Three nanoformulations, with the most favorable photothermal activation profiles (AuNPs 2, 3 and 7), were then selected for preliminary in vitro safety and efficacy assays using a panel of cell lines. These three nanoformulations were deemed safe in vitro at the tested concentrations. At 250 μM of gold content, and after an incubation period of 4 h, followed by 5 min irradiation with a laser emitting at 808 nm (7.96 W/cm2), AuNPs 7 significantly reduced the cell viability of all cancer cell lines tested (MCF-7, HCT-116 and A375) by ≥ 45 %. However, such cytotoxic effect was not observed for the human keratinocyte cell line (HaCat), thus demonstrating its specificity towards cancer cells. Overall, the results herein presented reinforce that the order of reagents addition is highly important for achieving adequate AuNPs for PTT.

Dimerization Promotes PKR Activation by Modulating Energetics of αC Helix Conversion between Active and Inactive Conformations.

Protein kinase R (PKR) functions in the eukaryotic innate immune system as a first-line defense against viral infections. PKR binds viral dsRNA, leading to autophosphorylation and activation. In its active state, PKR can phosphorylate its primary substrate, eIF2α, which blocks the initiation of translation in the infected cell. It has been established that PKR activation occurs when the kinase domain dimerizes in a back-to-back configuration. However, the mechanism by which dimerization leads to enzymatic activation is not fully understood. Here, we investigate the structural mechanistic basis and energy landscape for PKR activation, with a focus on the αC helix─a kinase activation and signal integration hub─using all-atom equilibrium and enhanced sampling molecular dynamics simulations. By employing window-exchange umbrella sampling, we compute free-energy profiles of activation, which show that back-to-back dimerization stabilizes a catalytically competent conformation of PKR. Key hydrophobic residues in the homodimer interface contribute to stabilization of the αC helix in an active conformation and the position of its critical glutamate residue. Using linear mutual information analysis, we analyze allosteric communication connecting the protomers' N-lobes and the αC helix dimer interface with the αC helix.

A comparative analysis of 24-hour movement behaviors features using different accelerometer metrics in adults: Implications for guideline compliance and associations with cardiometabolic health.

Movement behavior features such as time use estimates, average acceleration and intensity gradient are crucial in understanding associations with cardiometabolic health. The aim of this study was to 1) compare movement behavior features processed by commonly used accelerometer metrics among adults (i.e. Euclidian Norm Minus One (ENMO), Mean Amplitude Deviation (MAD) and counts per minute (CPM)), 2) investigate the impact of accelerometer metrics on compliance with movement behavior guidelines, and 3) explore potential variations in the association between movement behavior features and cardiometabolic variables depending on the chosen metric. This cross-sectional study collected movement behavior features (Actigraph GT3X+) and cardiometabolic variables. Accelerometer data were analyzed by four metrics, i.e. ENMO, MAD, and CPM vertical axis and CPM vector magnitude (GGIR). Intraclass correlations and Bland‒Altman plots identified metric differences for time use in single movement behaviors (physical activity, sedentary behavior), average acceleration and intensity gradient. Regression models across the four metrics were used to explore differences in 24-hour movement behaviors (24h-MBs; compositional variable) as for exploration of associations with cardiometabolic variables. Movement behavior data from 213 Belgian adults (mean age 45.8±10.8 years, 68.5% female) differed according to the metric used, with ENMO representing the most sedentary movement behavior profile and CPM vector magnitude representing the most active profile. Compliance rates for meeting integrated 24h-MBs guidelines varied from 0-25% depending on the metric used. Furthermore, the strength and direction of associations between movement behavior features and cardiometabolic variables (body mass index, waist circumference, fat% and HbA1c) differed by the choice of metric. The metric used during data processing markedly influenced cut-point dependent time use estimates and cut-point independent average acceleration and intensity gradient, impacting guideline compliance and associations with cardiometabolic variables. Consideration is necessary when comparing findings from accelerometry studies to inform public health guidelines.

Synthesis and release studies on amylose-based ester prodrugs of fenamic acid NSAIDs.

Aim: To achieve colon-targeted release of mefenamic acid from its ester-linked amylose prodrugs.Materials & methods: The prodrug was characterized by 1H NMR and IR spectroscopy. Drug activation and release profile was studied in enzyme enriched simulated physiological media via UV-vis spectroscopy and was validated with HPLC analysis. ELISA assay was employed for evaluating the % inhibition of COX-1 and COX-2 inhibition at different concentrations of the prodrug preincubated with ester and/ or amylose hydrolyzing enzymes. SEM studies further validated the performance of the prodrug under simulated physiological conditions.Results: Pancreatin was essential for the prodrug activation in SIM to make the ester bonds in prodrug vulnerable to hydrolysis by esterase. This evidence was confirmed by drug release studies, HPLC analysis, ELISA assay and SEM investigation where the ester conjugated prodrug showed marked stability in physiological media only to get activated in the presence of amylose degrading enzyme.Conclusion: Ester linked amylose-mefenamic acid conjugate showed both enzyme responsive activation and release in SIM.

Biocatalytic Clusterzyme Patches Restore Lung Function via Immunomodulation and Mitochondria Protection.

Currently, pulmonary complications such as lung infections during the perioperative period are still the main cause of prolonged hospitalization and death in patients with lung injury due to the lack of effective drugs. Clusterzyme, a kind of artificial enzyme with a high enzyme-like activity and safety profile, exhibits good effects on reducing oxidative stress and immunomodulation. Here, we present the functionalized patches that is administered on the lung airways and rescues the injured organ via clusterzymes. The long-term antioxidant capacity of the patches significantly ameliorated lipopolysaccharide-induced lung function impairment with a significant reduction in lung goblet cell metaplasia and oxidative stress. The inflammatory factors such as cytokines interleukin-1β, interleukin-6, and tumor necrosis factor-α levels decreased by 50%, while the mtDNA copy number increased by 50% and ATP production increased by 100%. Mice lung function was significantly improved, suggesting that the patches can rescue lung injury by modulating oxidative stress and immune responses as well as protecting the mitochondria, providing an avenue for effective intervention of lung injury.

Phytochemical profile and evaluation of the antimicrobial activity of the crude hydroalcoholic extract of Cecropia pachystachya leaves

Cecropia pachysthacia belongs to the Urticaceae family, popularly known as embaúba, imbaúba, umbaúba, embaúva, sloth plant. This species is popularly used for the treatment of various pathologies, such as respiratory, hypertension, and blood glucose control, among others. The objective of the present work was to evaluate the phytochemical profile and the antimicrobial activity of the crude hydroalcoholic extract of Cecropia pachysthacia leaves. Phytochemical tests were performed to determine bioactive compounds with pharmacological action. Phytochemical screening demonstrated the presence of saponin, terpenes, volatile oils, glycosylated flavonoids, triterpenes, flavonoids, anglicones, and tannins. For the microbiological analysis, five genera were used, Escherichia coli, Klebsiella pneumoniae, Bacillus spp., Enterobacter aerogenes, Staphylococcus spp. isolates of bacteria from cows with clinical mastitis, from the bacteriothek of the Infectious Diseases Laboratory of the Federal Rural University of Pernambuco - UFRPE. The crude hydroalcoholic extract under study showed inhibitory activity against the tested isolates, resulting from the bacteriostatic effect of the extract components.

TAG-SPARK: Empowering High-Speed Volumetric Imaging With Deep Learning and Spatial Redundancy.

Two-photon high-speed fluorescence calcium imaging stands as a mainstream technique in neuroscience for capturing neural activities with high spatiotemporal resolution. However, challenges arise from the inherent tradeoff between acquisition speed and image quality, grappling with a low signal-to-noise ratio (SNR) due to limited signal photon flux. Here, a contrast-enhanced video-rate volumetric system, integrating a tunable acoustic gradient (TAG) lens-based high-speed microscopy with a TAG-SPARK denoising algorithm is demonstrated. The former facilitates high-speed dense z-sampling at sub-micrometer-scale intervals, allowing the latter to exploit the spatial redundancy of z-slices for self-supervised model training. This spatial redundancy-based approach, tailored for 4D (xyzt) dataset, not only achieves >700% SNR enhancement but also retains fast-spiking functional profiles of neuronal activities. High-speed plus high-quality images are exemplified by in vivo Purkinje cells calcium observation, revealing intriguing dendritic-to-somatic signal convolution, i.e., similar dendritic signals lead to reverse somatic responses. This tailored technique allows for capturing neuronal activities with high SNR, thus advancing the fundamental comprehension of neuronal transduction pathways within 3D neuronal architecture.

Molecular Imaging of Renin Activity using Fluorogenic Nanoprobes for Precision Antihypertensive Therapy

Life‐threatening hypertension remains inadequately controlled in clinics due to its heterogenous renin levels. Rapid stratification of hypertension through renin analysis is crucial for effective personalized treatment, yet an ultrasensitive detection approach is currently lacking. Here, we report activatable renin nanoprobes (ARNs) for non‐invasive and ultrasensitive profiling of renin activity and guiding antihypertensive treatment decision through near‐infrared fluorescence (NIRF) in vivo imaging and in vitro urinalysis. ARNs are intrinsically non‐fluorescent due to NIRF reporter connected to a gold nanocluster through a renin‐responsive peptide. In hyperreninemia mouse models, ARNs specifically react with renin to liberate the renal clearable NIRF reporter for accurate renin detection that outperforms the gold standard radioimmunoassay. Such specific and sensitive detection also enables imaging‐based high‐throughput screening of antihypertensive drugs. In hypertensive rat models, ARNs enable ultrasensitive detection of both plasma and urinary renin, facilitating renin‐guided precision treatment and significantly improving hypertension control rate (90% versus 58%). Our nanoprobe platform holds great potential for assisting clinicians in rapidly and accurately classifying hypertensive patients and improving outcomes through tailored treatment selection.

Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias

We aimed to identify and characterise behavioural profiles in patients at high risk of SCD, by using deep representation learning of day-to-day behavioural recordings. We present a pipeline that employed unsupervised clustering on low-dimensional representations of behavioural time-series data learned by a convolutional residual variational neural network (ResNet-VAE). Data from the prospective, observational SafeHeart study conducted at two large tertiary university centers in the Netherlands and Denmark were used. Patients received an implantable cardioverter-defibrillator (ICD) between May 2021 and September 2022 and wore wearable devices using accelerometer technology during 180 consecutive days. A total of 272 patients (mean age of 63.1 ± 10.2 years, 81% male) were eligible with a total sampling of 37,478 days of behavioural data (138 ± 47 days per patient). Deep representation learning identified five distinct behavioural profiles: Cluster A (n = 46) had very low physical activity levels and a disturbed sleep pattern. Cluster B (n = 70) had high activity levels, mainly at light-to-moderate intensity. Cluster C (n = 63) exhibited a high-intensity activity profile. Cluster D (n = 51) showed above-average sleep efficiency. Cluster E (n = 42) had frequent waking episodes and poor sleep. Annual risks of malignant ventricular arrhythmias ranged from 30.4% in Cluster A to 9.8% and 9.5% for Clusters D-E, respectively. Compared to low-risk profiles (D-E), Cluster A demonstrated a three-to-four fold increased risk of malignant ventricular arrhythmias adjusted for clinical covariates (adjusted HR 3.63, 95% CI 1.54–8.53, p < 0.001). These behavioural profiles may guide more personalised approaches to ventricular arrhythmia and SCD prevention.

Association of smoking with neurocognition, inflammatory and myeloid cell activation profiles in people with HIV on ART.

People with HIV (PWH) experience excess comorbidities, including neurocognitive disorders, which are linked to inflammation, particularly monocyte-macrophage activation. Smoking contributes to morbidity and mortality in well-treated PWH. We investigated associations between smoking, neurocognitive function, and inflammation in PWH on ART. We used baseline data on cognition and inflammation from a longitudinal study of virologically-suppressed PWH who do and do not smoke. Participants completed 4 neurocognitive tests (7 measures), with a composite score as the primary measure. Inflammatory markers were plasma sCD14, sCD163, and CCL2/MCP-1; %CD14+ monocytes expressing CD16, CD163, and CCR2; and %CD8+ T cells co-expressing CD38/HLA-DR. Exploratory analyses included a plasma cytokine/chemokine panel, neurofilament light chain (NFL), hsCRP and monocyte transcriptomes by RNAseq. We recruited 58 PWH (26 current smoking [PWH/S], 32 no current smoking [PWH/NS]). Mean composite and individual neurocognitive scores did not differ significantly by smoking status except for the color shape task; PWH/S exhibited worse cognitive flexibility, with adjusted mean times 317.2 (95%CI 1.4, 632.9) msec longer than PWH/NS. PWH/S had higher plasma sCD14 than PWH/NS (median(IQR) 1820(1678, 2105) versus 1551(1284, 1760) ng/ml, p=0.009). Other inflammatory markers were not significantly different between PWH/S and PWH/NS. Monocyte transcriptomes showed several functions, regulators and gene sets that differed by smoking status. sCD14, a marker of monocyte activation, is elevated in PWH who smoke. While neurocognitive measures and other inflammatory markers did not generally differ, these data implicate smoking-related myeloid activation and monocyte gene dysregulation in the HIV/smoking synergy driving HIV-associated comorbidities.

Distinct brain-wide presynaptic networks underlie the functional identity of individual cortical neurons.

Neuronal connections provide the scaffolding for neuronal function. Revealing the connectivity of functionally identified individual neurons is necessary to understand how activity patterns emerge and support behavior. Yet, the brain-wide presynaptic wiring rules that lay the foundation for the functional selectivity of individual neurons remain largely unexplored. Cortical neurons, even in primary sensory cortex, are heterogeneous in their selectivity, not only to sensory stimuli but also to multiple aspects of behavior. Here, to investigate presynaptic connectivity rules underlying the selectivity of pyramidal neurons to behavioral state 1-12 in primary somatosensory cortex (S1), we used two-photon calcium imaging, neuropharmacology, single-cell based monosynaptic input tracing, and optogenetics. We show that behavioral state-dependent neuronal activity patterns are stable over time. These are minimally affected by neuromodulatory inputs and are instead driven by glutamatergic inputs. Analysis of brain-wide presynaptic networks of individual neurons with distinct behavioral state-dependent activity profiles revealed characteristic patterns of anatomical input. While both behavioral state-related and unrelated neurons had a similar pattern of local inputs within S1, their long-range glutamatergic inputs differed. Individual cortical neurons, irrespective of their functional properties, received converging inputs from the main S1-projecting areas. Yet, neurons that tracked behavioral state received a smaller proportion of motor cortical inputs and a larger proportion of thalamic inputs. Optogenetic suppression of thalamic inputs reduced behavioral state-dependent activity in S1, but this activity was not externally driven. Our results revealed distinct long-range glutamatergic inputs as a substrate for preconfigured network dynamics associated with behavioral state.

Synthesis, Molecular Docking Studies and Biological Evaluation of N-(α-Benzamido Cinnamoyl) Piperonal Hydrazones

Background: Nowadays, inflammation is recognized as the underlying cause of a number of diseases, but NSAIDs are the first drug of choice, having several side effects. Additionally, excessive cellular oxidative stress is often considered a major contributor to pathophysiological conditions, the development of cancer, and other diseases. Antimicrobial resistance is a global concern, hence, there is a critical need for the development of novel therapeutic agents to fight the emergence and increasing prevalence of resistant pathogens. This creates an initiation to introduce new molecules which act as efficient therapeutic agents with diminished side effects. Objective: As a part of our search for newer agents with enhanced activity profiles, it was planned to synthesize novel 2- (benzamido)-N-((benzo[d][1,3]dioxol-4-yl)methylene)-3-(substituted phenyl) acrylohydrazides and to investigate them for antiinflammatory, antioxidant, cytotoxic, antimicrobial activities. Furthermore, in silico studies were performed for title compounds to predict molecular properties, bioavailability, drug-likeness, and bioactivity scores, molecular docking studies were also performed against biological targets. Methods: The title compounds 1-14 were synthesized by nucleophilic addition of piperonal in ethanol, few drops of acetic acid to the intermediate 2-(benzamido)-3-(aryl)acrylohydrazides. The title compounds were tested for their antiinflammatory activity by in vivo carrageenan-induced rat paw edema method, in vitro COX-2 inhibition assay; in vitro cytotoxic activity evaluation by MTT assay; antioxidant activity by Lipid peroxidation, DPPH assay, Nitric Oxide scavenging assay and Hydrogen peroxide scavenging assay; and antimicrobial activity by cup plate method. Physicochemical properties and bioactive scores of title compounds were evaluated by in silico studies. Molecular docking studies were carried out for the title compounds against COX-2 (PDB: 5F19) and EGFR (PDB:1XKK). Results: Among the series, 4-Hydroxy-3,5-dimethoxy derivative (5) displayed good anti-inflammatory and antioxidant activities; Vanillinyl derivative (4) displayed good cytotoxicity and antimicrobial activity when compared to that of the respective standards. Compounds 5 &amp; 4 also exhibited good docking scores with COX-2 and EGFR, respectively. All title compounds obeyed Lipinski’s rule of five and also exhibited acceptable molecular properties, drug-likeness properties, and moderate to good bioactivity scores in in silico studies. Conclusion: The study suggested that the title compounds showed notable pharmacological properties, could emerge as lead compounds, and be further explored as promising therapeutic agents.

Activation profiles across neural feature dimension maps guide attention during visual search

Activation profiles across neural feature dimension maps guide attention during visual search

Reliability of functional localization and activation profiles of category-selective regions using fMRI

Reliability of functional localization and activation profiles of category-selective regions using fMRI

Monitoring corn stover processing by the fungus Ustilago maydis.

A key aspect of sustainable bioeconomy is the recirculation of renewable, agricultural waste streams as substrates for microbial production of high-value compounds. One approach is the bioconversion of corn stover, an abundant maize crop byproduct, using the fungal maize pathogen Ustilagomaydis. U.maydis is already used as a unicellular biocatalyst in the production of several industrially-relevant compounds using plant biomass hydrolysates. In this study, we demonstrate that U. maydis can grow using untreated corn stover as its sole carbon source. We developed a small-scale bioreactor platform to investigate U.maydis processing of corn stover, combining online monitoring of fungal growth and metabolic activity profiles with biochemical analyses of the pre- and post-fermentation residues. Our results reveal that U. maydis primarily utilizes soluble sugars i.e., glucose, sucrose and fructose present in corn stover, with only limited exploitation of the abundant lignocellulosic carbohydrates. Thus, we further explored the biotechnological potential of enhancing U.maydis´ lignocellulosic utilization. Additive performance improvements of up to 120% were achieved when using a maize mutant with increased biomass digestibility, co-fermentation with a commercial cellulolytic enzyme cocktail, and exploiting engineered fungal strains expressing diverse lignocellulose-degrading enzymes. This work represents a key step towards scaling up the production of sustainable compounds from corn stover using U. maydis and provides a tool for the detailed monitoring of the fungal processing of plant biomass substrates.

Graph theory-enhanced integrated distribution network reconfiguration and distributed generation planning: A comparative techno-economic and environmental impacts analysis

In today's world, eco-friendly solutions are crucial for efficient power delivery and assessing their corresponding economic and environmental benefits is essential. As innovators, it is also imperative to continually improve on existing techniques to solve a problem. Evaluating the existing literature in this area of study, gaps of improving the optimization techniques by reducing the amount of infeasible configurations the reconfiguration procedure encounters was established, additionally, the need to utilize distributed generations that significantly reduce carbon footprint in the environment was also ascertained. Hence, this paper presents an effective integration method for the simultaneous reconfiguration of Radial Distribution Networks (RDNs) and Photovoltaic (PV) DGs allocation, considering the tripodal issues of cost, operational efficiency, and environmental sustainability. A modification of the adaptive mountain gazelle optimizer (AMGO) enhanced with graph theory is deployed for the optimization procedures. The crucial feature of the proposed approach is the reduction of unfeasible configurations throughout the optimization procedure toward satisfying the network's radiality constraints, achieving consistent convergence and reduced computation time. The technical benefits are active power loss minimization, voltage stability, and voltage profile improvement. The economic benefits are analyzed by estimating the purchased power, the associated cost of power losses, and the cost of DGs and switches over a planning period of 20 years. The consequent environmental benefits are analyzed in detail, highlighting the significant reduction in pollutant emissions. The proposed model was tested on the IEEE 33- and 69-bus RDN, considering several scenarios, including synchronous network reconfiguration and DG installations. From the results procured, the simultaneous network reconfiguration and DG allocation provided better outcomes, yielding minimum active power loss of 35.36 kW, minimum voltage of 0.9541 p.u., voltage stability index of 1.9936 p.u., total planning cost of $3.456 million, and emission of 1.744 million lb/hr, respectively, for the 33-bus systems. The corresponding value for the 69-bus system is 32.57 kW, 0.9832 p.u., 2.3847 p.u., $ 2.524 million, and 2.53 million lb/hr, respectively. The proposed model was compared with other reported techniques for performance validation, and its efficacy and superior performance was established.