Chemical Components Research Articles

Anti-Obesity Effect of Fresh and Browned Magnolia denudata Flowers in 3T3-L1 Adipocytes

The major components of magnolia flower extracts (MFEs) were classified into four substances, such as flavonoids, phenylethanoid glycoside derivatives (PhGs), caffeoylquinic acids (CQAs), and others, in our previous study. The chemical components of MFEs, including the rutin of flavonoid, acteoside and isoacteoside of PhGs, and caffeyolquinic acids, are reported to have physiological effects on anti-obesity effects. The anti-obesity effect of fresh and browned Magnolia denudata flower extracts (FMFE and BMFE, respectively) was investigated in 3T3-L1 adipocytes. The treatment concentrations of FMFE and BMFE were 200 and 400 μg/mL, respectively, as determined with the WST-1 assay. Intracellular lipid accumulation in 3T3-L1 cells was inhibited with the treatment of MFEs, including FMFE and BMFE, as observed with an image of the culture plate, using an optical microscope and Oil red O staining. The expression of the adipogenic target genes involved in adipocyte differentiation, including PPARγ, C/EBPα, perilipin, FABP4, FAS, HSL, and SREBP-1, was suppressed with the treatment of MFEs. Additionally, the phosphorylation of AMPK and ACC in 3T3-L1 cells was significantly increased following treatment with the MFEs. These results suggest that both MFEs have a potential for physiological effects on anti-obesity activity.

Hydrogeochemical Characteristics and Sulfate Source of Groundwater in Sangu Spring Basin, China

The Sangu Spring Basin is located in an important economic area, and groundwater is the main source of water for local life and industry. Understanding the sources of chemical components in groundwater is important for the development and utilization of groundwater. In this paper, we analyzed the origin of the chemical components of groundwater and their evolution in the Sangu Spring Basin using statistical analysis, Piper diagrams, Gibbs diagrams, ion ratios, and combined hydrochemistry–isotope analyses. The results show that the groundwater in the Sangu Spring Basin is mainly derived from atmospheric precipitation, that the groundwater in stagnant and confined environment zones was formed under colder climatic conditions, and that the surface water (SW) has a close hydraulic relation with the groundwater. Water–rock interaction is the main factor controlling the composition of groundwater. The compositions of groundwater are mainly derived from carbonate weathering, silicate weathering, and dissolution of gypsum. Na+ and K+ in groundwater mainly come from the dissolution of albite and potassium feldspar, rather than rock salt. Ion exchange occurs in karst groundwater (KGW) and fissure groundwater (FGW), and ion exchange is dominated by the exchange of Mg2+ and Ca2+ in the groundwater with Na+ and K+ in the rock or soil. Sulfate in groundwater is derived from dissolution of gypsum, infiltration of atmospheric precipitation, and leakage of SW. Groundwaters with the highest sulfate content are located in the vicinity of SW, as a result of receiving recharge from SW seepage. Groundwaters with higher sulfate contents are located in the stagnant and deeply buried zones, where sulfate is mainly derived from the dissolution of gypsum. SW seepage recharges groundwater, resulting in increased levels of Cl−, NO3− and SO42− in groundwater. These insights can provide assistance in the protection and effective management of groundwater.

Huangqi-Guizhi-Wuwutang protects against oligospermia in mice by promoting the proliferation of spermatogenic stem cells: A comprehensive study using HPLC-Q-TOF/MS and experimental pharmacology.

The classical traditional Chinese medicine formula Huangqi-Guizhi-Wuwutang (HGW) has been shown to enhance sperm production. However, the bioactive components and comprehensive mechanisms underlying the therapeutic effects remain unclear. The present study investigates the potential active ingredients and underlying mechanisms of HGW against spermatogenesis dysfunction. The chemical components of HGW were analyzed by mass spectrometry. And then the "components-targets-pathway-disease" network was constructed using network pharmacology research methods, which aimed to identify the key active components and potential targets of HGW in treating oligospermia. Experimental validation was finally conducted in animal model. The male-specific pathogen-free Kunming mice were divided into five groups: Sham group, Model group, and HGW groups (8, 16, and 32 g/kg of HGW by gavage for 35 days). Chemical profile and network pharmacology results revealed that potential bioactive compounds were dihydrocinnacasside, isomucronulatol, and 6-gingerol, and the mechanism of which was enriched in regulating spermatogenic stem cells (SSCs), endocrine function, and apoptosis. The administration of HGW significantly improved oligospermia in mice. HGW significantly upregulated the expression of marker proteins in SSCs and the potential targets within the testis simultaneously. Our data indicates that HGW enhances the proliferation of SSCs, and HGW can be a promising therapeutic candidate for oligospermia.

Hypoglycemic and antioxidant activities of Jasminum officinale L. with identification and characterization of phytocompounds

The utilization of plant-derived chemicals with anti-diabetic properties is widely promoted for its advantageous tactics in managing diabetes, as they are cost-effective and have minimal or no adverse effects. Therefore, this work investigates the medicinal plant Jasminum officinale L. leaves by extraction and bio-guided fractionation. The ethyl acetate fraction showed a higher yield of 36.4 %. A phytochemical test on Jasminum officinale confirmed flavonoids, saponins, phenols, and tannins. The highest total phenol and flavonoid contents in the ethyl acetate fraction of J. officinale are 103.01 ± 1.1 mg GAE/g and 80.29 ± 1.03 mg QUE/ value found in methanol crude extract. Furthermore, HPTLC analysis of the ethyl acetate fraction detected the existence of flavonoids (kaempferol) and phenols (gallic acid, quercetin, and rutin). The compounds detected at the greatest concentrations in the LC-M/MS analysis of the ethyl acetate fraction were cirsiliol, kaempferol, and 2-tridecanone. Additionally, J. officinale (IC50 33.845 ± 1.09 μg/mL) demonstrated the highest DPPH scavenging activity in EAF like that of ascorbic acid (IC50 22.27 ± 0.96 μg/mL). Also, in the FRAP assay, the IC50 of this fraction is 15.14 ± 0.25 μM Fe equivalents. In the range of alpha-amylase deactivating action, from 13.25 % to 74.51 %, and IC50 value (47.40 ± 0.29 μg/mL) was significantly higher in the ethyl acetate fraction of J. officinale leaf extract. Moreover, J. officinale leaf extract had a substantially higher retention of glucose level (23.92 ± 0.85 % to 87.21 ± 0.6 %), significantly higher anti-inflammatory activity with the lowest IC50 value (66.00 ± 1.84), and lipid peroxidation (IC50 value 34.67 ± 1.69) by utilizing egg yolk as a substrate for lipids. Overall, the study revealed that J. officinale has considerable anti-diabetic characteristics. However, further comprehensive research is necessary to ascertain the medicinal purposes of J. officinale and its chemical components, pharmacological effects, and clinical uses.

Ensemble machine learning models for compressive strength and elastic modulus of recycled brick aggregate concrete

This study delivers an in-depth analysis of predicting the compressive strength and elastic modulus of recycled brick aggregate concrete (RBAC). It assembles an extensive database of 633 compression test results and develops five ensemble learning models—random forest (RF), gradient boosting regression trees (GBRT), extreme gradient boosting (XGB), light gradient boosting machine (LGBM) and stacking (St). These models are evaluated against existing empirical formulas with respect to their effectiveness. The findings reveal that machine learning (ML) models outperform existing formulas: for compressive strength prediction, traditional models achieve a maximum determination coefficient R² of 0.38, whereas ML models attain an R² range of 0.91–0.94. For elastic modulus, the highest R² values are 0.44 for traditional models and 0.97 for ML models. Notably, the LGBM and St models excel in predicting compressive strength and elastic modulus, respectively. The study also identifies critical parameters influencing RBAC’s compressive behavior and highlights their impact trends. Remarkably, while the mass-weighted water absorption of coarse aggregates and the replacement ratio of recycled brick aggregates (RBAs) have less impact on compressive strength compared to the effective water-to-cement ratio, they become more influential for elastic modulus. Additionally, the decrease in elastic modulus due to higher RBA replacement ratios or increased mass-weighted water absorption of coarse aggregates exceeds the corresponding reduction in compressive strength. This research not only deepens the understanding of RBAC’s mechanical properties but also provides valuable predictive tools for civil engineering applications.

Fu-Zheng-Li-Fei Recipe (FZLFR) in the treatment of cancer cachexia: Exploration of the efficacy and molecular mechanism based on chemical characterization, experimental research and network pharmacology

Ethnopharmacological relevanceFZLFR was derived from a classic traditional Chinese medicine recipe, the Shiquan-Dabu decoction. FZLFR is commonly used in clinical practice to address muscle loss and associated cancer cachexia. However, the mechanism of by which FZLFR acts in cancer cachexia remains unclear. AimThis study aimed to assess the effects and explore the potential mechanism of action of FZLFR in treating cancer cachexia. MethodsCancer cachexia was induced by inoculating Lewis lung carcinoma cells into the right flank of male C57BL/6 mice. The efficacy of FZLFR was evaluated by comparing changes in body weight, tumor mass, food intake, survival time, weight, and cross-sectional area of the gastrocnemius and anterior tibial muscles. Moreover, inflammatory cytokines, such as TNF-α and IL-6, were detected by ELISA. The chemical components of FZLFR were analyzed using ultra-performance liquid chromatography-coupled with time-of-flight mass spectrometry. Network pharmacology analysis was performed to screen the core targets and potential pathways involved in FZLFR treatment of cancer cachexia. Molecular docking was used to analyze the binding ability of the core targets and key compounds. The expression levels of core targets and targets correlated with skeletal muscle atrophy were also assessed using western blotting. ResultsFZLFR enhanced the food intake and survival rate of mice with cancer cachexia. It also alleviated tumor-induced body weight loss, tumor growth, and muscle fiber atrophy in these mice. Additionally, it improved the weight and cross-sectional area of the gastrocnemius and anterior tibial muscles. FZLFR down-regulated the serum levels of TNF-α and IL-6. UPLC-ESI-Q-TOF-MS analysis identified 184 compounds in FZLFR. Network pharmacology analysis predicted that TNF signaling pathway, ErbB signaling pathway and VEGF signaling pathway might be essential in FZLFR action. Molecular docking showed that kaempferol, upafolin, apigenin, and luteolin might play key roles in FZLFR treatment. Moreover, FZLFR decreased MAFBx1, MURF1, NF-κB, TWEAK, MAPK8, and EGFR expression levels. FZLFR enhanced the expression of VEGFA and ESR1, as demonstrated by western blotting. ConclusionsFZLFR increased food intake and alleviated muscle atrophy in mice with cancer cachexia. The potential pharmacological mechanisms underlying its anticachexia effects include reducing inflammation, enhancing muscle vascular growth, inhibiting tumor angiogenesis, and modulating estrogen receptors.

Effect of the Addition of Egg White and Maltodextrin on the Characteristics of Dayak Onion Powder (Eleutherine palmifolia) by Foam Mat Drying Method

Dayak onion is a plant that has antioxidant content and chemical components that can be used as spices, flavor enhancers, fragrances, and food preservatives whose use is limited. Dayak onions that are easily damaged are processed into powder to make them more durable. The manufacture of powder products is carried out using the foam mat drying method with the addition of foaming agent, namely egg white, and foam stabilizer, namely maltodextrin. This study aims to determine the effect of the addition of egg whites and maltodextrin on the physicochemical and organoleptic characteristics of Dayak onion powder by the foam mat drying method. This study used a two-factor Complete Random Design (CRD) with three replicates. The observation data was processed using ANOVA at a confidence level of 5%, if there is a significant influence, a further DMRT test of 5% is carried out. The results showed that there was a significant interaction between the addition of egg white and maltodextrin in different moisture content, phenol content, and solubility. The best treatment was obtained with the addition of 8% egg white and 15% maltodextrin with 7.32% moisture content; 2.11% ash content; 51.08% antioxidant activity; 3.37 mg GAE/g phenol content; 46.65% solubility; 54.03 L; 21.00 a*; 11.43 b*; and color hedonic score 3.96 (quite red); aroma hedonic score 3.36 (slightly scented of Dayak onions); texture hedonic score 2.92 (slightly rough); 0.01% flavonoid content; and 9.35 ppm anthocyanin content.

Evidence for high-risk pollutants and emerging microbial contaminants at two major bathing ghats of the river Ganga using high-resolution mass spectrometry and metagenomics

An efficient wastewater treatment plant is imperative to limit the entry of emerging pollutants (EPs) and emerging microbial contaminants (EMCs) in the river ecosystem. The detection of emerging EPs in aquatic environments is challenging due to complex sample preparation methods, and the need for sophisticated accurate analytical tools. In Varanasi (India), the river Ganga holds immense significance as a holy river but is consistently polluted with municipal (MWW) and hospital wastewater (HWW). We developed an efficient method for untargeted detection of EPs in the water samples using High-resolution mass spectrometry (HRMS), and identified 577 and 670 chemicals (or chemical components) in the water samples from two major bathing ghats, Assi Ghat (AG) and Dashashwamedh Ghat (DG), respectively. The presence of EPs of different categories viz chemicals from research labs, diagnostic labs, lifestyle and industrial chemicals, toxins, flavor and food additives indicated the unsafe disposal of MWW and HWW or inefficient wastewater treatment plants (WWTPs). Besides, shotgun metagenomic analysis depicted the presence of bacteria associated with MWW viz Cloacibacterium normanse, Sphaerotilus natans (sewage fungi), E. coli, and Prevotella. Also, the presence of human pathogens Arcobacter, Polynucleobacter, Pseudomonas, Klebsiella, Aeromonas, Acinetobacter, Vibrio, and Campylobacter suggests the discharge of HWW. EPs are linked to the development, and transmission of antimicrobial resistance (AMR). Occurrence of antibiotic resistance genes (ARGs), plasmid-borne β-lactamases, aminoglycoside transferases, and ARGs associated with integrons, transposons and plasmids viz mcr-3 gene that confer resistance to colistin, the last resort of antibiotics confirmed the presence of emerging microbial contaminants. Subsequent genome reconstruction studies showed the presence of uncultivable ARB and transmission of ARGs through horizontal gene transfer. This study can be used to monitor the health of aquatic bodies as well as the efficiency of WWTPs and raise an urgent need for efficient WWTPs to safeguard the river, Ganga.

Erxian decoction ameliorates myocardial tissue damage through activating PI3K/AKT signaling pathway in ovariectomized rats

Background Erxian decoction (EXD) is an empirical formula for treating cardiovascular disease, our previous work has shown that EXD could improve the cardiovascular structure and function in ovariectomized (OVX) rats, but its pharmacological mechanism is still unclear. Materials and Methods Network pharmacology was utilized to assess the key active components and central targets of EXD in treating postmenopausal cardiovascular disease. Then, an OVX rat model was established, HE staining and transmission electron microscope were utilized to observe myocardial tissue morphology, TUNEL staining was utilized to detect cardiomyocyte apoptosis, western blot, and ELISA were used to confirm efficacy and pathway of EXD. Results The network pharmacology prediction results showed that 129 common targets were identified by intersecting EXD targets and postmenopausal cardiovascular disease targets, including AKT1, TNF, IL-6, IL-1β, PTGS2 and other core targets, apoptosis, PI3K/AKT, and other signaling pathways may be closely related to postmenopausal cardiovascular disease. After ovariectomy, the myocardial tissue of rats was damaged, the expression level of PI3K/AKT pathway-related molecules in the myocardial tissue were decreased, the apoptosis index of cardiomyocytes was increased, and the levels of inflammatory factors (TNF-α, IL-6, and IL-1β) were enhanced. EXD intervention could improve myocardial tissue injury, EXD could up-regulate the protein expression of PI3K and p-AKT in myocardial tissue, and thereby prevent myocardial cell apoptosis. At the same time, EXD downregulated the levels of inflammatory factors in serum of ovariectomized rats. Conclusion EXD may prevent myocardial tissue damage through induction of the PI3K/AKT signaling pathway, thereby reducing cardiomyocyte apoptosis and inflammation. EXD may be a potential drug for the treatment of postmenopausal cardiovascular disease.

Impact of gauge fixing precision on the continuum limit of nonlocal quark-bilinear lattice operators

We analyze the gauge fixing precision dependence of some nonlocal quark-bilinear lattice operators interesting in computing parton physics for several measurements, using five lattice spacings ranging from 0.032 to 0.121 fm. Our results show that gauge-dependent nonlocal measurements are significantly more sensitive to the precision of gauge fixing than anticipated. The impact of imprecise gauge fixing is significant for fine lattices and long distances. For instance, even with the typically defined precision of Landau gauge fixing of 10−8, the deviation caused by imprecise gauge fixing can reach 12%, when calculating the trace of Wilson lines at 1.2 fm with a lattice spacing of approximately 0.03 fm. Similar behavior has been observed in ξ gauge and Coulomb gauge as well. For both quasi-parton-distribution functions (quasi-PDFs) and quasi-transverse-momentum-dependent PDFs operators renormalized using the regularization independent momentum subtraction (RI/MOM) scheme, convergence for different lattice spacings at long distance is only observed when the precision of Landau gauge fixing is sufficiently high. To describe these findings quantitatively, we propose an empirical formula to estimate the required precision. Published by the American Physical Society 2024

Triple acquisition mass spectrometry (TRAM) combining targeted and non-targeted metabolomics in a single run

BackgroundWe introduce TRAM, a triple acquisition strategy on a high-speed quadrupole time-of-flight mass spectrometer for merging non-targeted and targeted metabolomics into one run. TRAM stands for “quasi-simultaneous” acquisition of (1) a full scan MS1, (2) top 30 data-dependent MS2 (DDA), and (3) targeted scheduled MS2 for multiple reaction monitoring (MRM) within measurement cycles of ∼1 s. TRAM combines the selectivity and sensitivity of state-of-the-art targeted MRM-based methods with the full scope of non-targeted analysis enabled by high-resolution mass spectrometry. ResultsIn this work, we deploy a workflow based on hydrophilic interaction liquid chromatography (HILIC). For a broad panel of metabolites, we provide chromatographic retention times, and optimized conditions as a basis for targeted MRM experiments, listing accurate masses and sum formulas for fragment ions (including fully 13C labeled analogs). Validation experiments showed that TRAM offered (1) linear working ranges and limits of quantification comparable to MRM-only methods, (2) enabled accurate quantification in SRM 1950 human plasma reference material, and (3) was equivalent to DDA-only approaches in non-targeted metabolomics. Metabolomics in human cerebrospinal fluid showcased the power of the strategy, emphasizing the need for high coverage/high throughput metabolomics in clinical studies. SignificanceAcquiring up to 30 data-dependent spectra per MS cycle while still offering gold standard absolute quantification down to low nanomolar concentrations, TRAM allows in-depth profiling and reduces required sample volume, time, cost, and environmental impact.

Abiotic degradation and accelerated ageing of microplastics from biodegradable and recycled materials in artificial seawater

Microplastics (MPs) are considered one of the most widespread pollutants in all ecosystems worldwide. In the environment, MPs can undergo hydrolysis and/or oxidation, resulting in the release of low-molecular weight degradation products, along with additives, and adsorbed organic pollutants. In this study, the morphological, chemical, and thermal changes of microplastics obtained from two biodegradable plastics, polylactic acid and Mater-Bi®, and a recycled plastic, recycled-polyethylene terephthalate, were examined after accelerated ageing under photo-oxidative conditions in synthetic seawater in a Solarbox system, and after thermal treatment in the dark. Thermal properties were studied by thermogravimetric analysis, differential scanning calorimetry, and evolved gas analysis-mass spectrometry. Compositions and changes of chemical components of the polymers were evaluated by attenuated total reflection-Fourier transform infrared spectroscopy and pyrolysis-gas chromatography–mass spectrometry. The leachable fractions and degradation products released in synthetic seawater by degraded MPs were characterized by gas chromatography–mass spectrometry. This study allowed us to identify hydrolysis as the main degradation pathway of the polymers under analysis, and to characterize not only the oligomers and degradation products released in the water as a consequence of degradation, but also additives used in plastic item formulations. This study improves our understanding of these polymers' behavior under accelerated ageing conditions.

A black tea quality testing method for scale production using CV and NIRS with TCN for spectral feature extraction

To rigorously assess black tea quality in large-scale production, this study introduces a multi-modal fusion approach integrating computer vision (CV) with Near-Infrared Spectroscopy (NIRS). CV technology is first applied to evaluate the tea's appearance quality, while NIRS quantifies key chemical components, including tea polyphenols (TP), free amino acids (FAA), and caffeine (CAF). Additionally, different methods are employed to extract potential quality features from NIR spectra. The information are then fused, and a classifier is utilized to accurately identify tea quality. Results show that the Temporal Convolutional Network (TCN) fused model achieves a 98.2 % accuracy rate, surpassing both the Convolutional Neural Network (CNN) fused model and traditional methods. This study demonstrates that TCNs effectively extract spectral features and that data fusion significantly enhances tea quality testing, offering valuable insights for production optimization.

Biosynthesis of metal/metal oxide nanoparticles via Deverra tortuosa: characterization, GC/MS profiles, and biological potential

Since the beginning of humanity, people have used wild medicinal plants for the treatment of various diseases. Nowadays, researchers and scientists pay attention to exploring new tools to maximize the efficacy of natural products from natural resources, and among these tools formulation of nanoparticles is very promising. The green synthesis of metal/metal oxide nano-solutions using the Deverra tortuosa extract has still not been explored well. This study aims to prepare many metal/metal oxide nanoparticle solutions such as ZnO-NPs, SeO2-MNPs, and Ag-NPs via the methanol extract of D. tortuosa as safe, easy, green, and economic approach as well as characterize the chemical components of D. tortuosa plant by GC-MS spectroscopy analysis. The synthesized M-NPs solutions were characterized by UV–visible (UV–Vis) spectroscopy, Transmission Electron Microscope (TEM), zeta potential, Fourier Transform Infrared (FT-IR) spectroscopy, and phytochemical analyses. The potential antioxidant capacity was estimated for the methanol extract of this plant along with the metal/metal oxide nanoparticles solutions by DPPH assay. In addition, the cytotoxic activity was in vitro assessed for the inspected samples against various tumor and normal cell lines applying MTT assay. The application of the D. tortuosa methanolic extract resulted in NPs with a range of 11.79–85.9 nm which was characterized by UV-Vis spectroscopy, TEM, zeta potential, and FT-IR spectroscopy that revealed various functional groups of the tested samples. The GC-MS analysis of the D. tortuosa methanolic extract showed the presence of 31 chemical compounds with 2-methyl-3-oxocyclopent-1-ene-1-carboxylic acid, methyl oleate, and 6-allyl-4,5-dimethoxybenzo[d][1,3]-dioxole as major constituents. The extract showed considerable antioxidant activity as well as antimicrobial activity that was assessed also against varied bacterial and fungal species. Remarkable potencies for the investigated metal/metal oxide nanoparticle solutions hinder the growth of the tumor cell lines, in addition to the growth of the microbial species. Based on the determined biological activities of the produced NPs, future study is recommended to characterize the pure authentic compounds that are identified within the D. tortuosa as major compounds as well as evaluate their modes of action.

Exploring the performance of Coriandrum sativum extract as an effective corrosion inhibitor for mild steel in a [formula omitted] medium, and its sustainable application in the eco-friendly removal of heavy metals

This research investigated the performance of coriander seeds, for the first time, in two critical phenomena: wastewater treatment and corrosion inhibition in acidic environments. On one hand, the aqueous extracts from Coriandrum sativum seeds (CE) were evaluated for mild steel corrosion inhibition in a 2.0 M phosphoric acid medium using several techniques such as phytochemical analysis (GC-MS), potentiodynamic polarization, electrochemical impedance spectroscopy, scanning electron microscopy (SEM-EDAX) and theoretical analyses, including DFT calculations and Molecular Dynamic Simulations, further elucidated the major chemical components. First, the phytochemical analysis has proved that CE contains heteroatoms. Second, the electrochemical results indicate that CE behaves as a mixed type inhibitor and the corrosion reaction is controlled by charge transfer process. Finally, The theoretical calculations confirmed that the active compounds of CE can be adsorbed on the Fe (1 1 0) surface through physical patterns and by sharing charges with iron to form coordinate bonds. The acquired results have shown a strong correlation between corrosion inhibition efficiency that was about 93 %, SEM-EDAX and DFT parameters. On the other hand, the study examined coriander seeds (CS) in powder form as a removal of copper ions in aqueous solutions through Atomic Absorption Spectroscopy and Inductively Coupled Plasma analysis. The parametric study was effectuated by establishing the effect of contact time, adsorbent mass, solution pH and stirring speed. The removal rate was about 79 %. Regeneration studies showed that CS could be reused for five cycles without significant loss of effectiveness. SEM-EDAX analysis has proved the studied process.

E-waste management in achieving SDGS in Negara Brunei Darussalam: Maqasid Shariah Perspective

‘Electronic waste’, ‘Waste Electrical and Electronic Equipment’ or commonly known as ‘E-waste’ or ‘WEEE’ is referred to any electrical object or equipment that no longer possesses any value which has been disposed of by its owner. As other unused items, E-waste, which has not been used and thrown away as waste without being intended for reuse, becomes becomes a big problem to contemporary life. Due to its complex chemical component and inorganic toxic material, E-waste requires special treatment and management different from that of conventional waste. Incorporating e-waste management into the framework of Maqasid of the Shariah provides a holistic approach to achieving Sustainable Development Goals (SDGs) in Brunei. By harmonizing the protection of religion, life, intellect, progeny and wealth with sustainability principles, this approach not only tackles the environmental challenges associated with e-waste but also ensures the well-being of the community in a manner that is in line with the Islamic teachings. To carry out a detailed analysis of e-waste management in achieving SDGs in Negara Brunei Darussalam, a qualitative approach is adopted in order to fulfil the research objectives and a semi-structured interview method is used by the researchers. A total of 10 employees from 6 organizations (inclusive of both government and private sector) were interviewed. The results have shown issues, problems and threats posed by e-waste with time consuming, health concerns, and a lack of awareness to be the main highlights. Aside, an effort from the government body in introducing the ‘Extender Producer Responsibility (EPR) scheme’ in handling and managing e-waste was also discussed. By nurturing a culture of environmental responsibility, increasing awareness through education and implementing efficient waste management approaches, Brunei can not only address the immediate risks associated with e-waste but also contribute to the global pursuit of the SDGs in a way that is spiritually and materially rewarding.

Cytotoxicity effects of Terminalia arjuna bark-derived nano-ZnO on MCF 7 cells and enhanced anti-breast cancer potency of its phytochemicals upon Zn-capping

Breast cancer is the second-leading cause of morbidity and mortality among cancers worldwide and primarily affects women. The available drugs for treating breast cancer causes severe adverse effects with prolonged use that necessitates the need for a novel anticancer agent from natural sources that has enhanced biocompatibility and pharmacokinetic attributes, and it should not have any adverse reactions. Hence, the present research is aimed to synthesize zinc oxide nanoparticles (ZnO NPs) via green route from Terminalia arjuna bark (TAB-ZnO NPs). The characterization of synthesized nanoparticles was studied using FT-IR (fourier-transform infrared spectroscopy), EDX (energy dispersive X-ray spectroscopy), XRD (X-ray diffraction), SEM (scanning electron microscopy), and TEM (transmission electron microscopy). A surface plasma resonance peak was seen at 375 nm in the UV–Vis spectrum of T. arjuna bark extract mixed with ZnO NPs. FT-IR analysis reveals that the presence of phenols, alkenes, ethers and aromatic compounds that could be responsible for the reduction and capping of ZnO NPs. The elemental analysis of EDX revealed that the material has 93.70 % of ZnO and 6.30 % of oxygen. SEM and TEM analysis showed that synthesized ZnO NPs has spherical in shape ranging from 26.30 to 78.21 nm. The anti-breast cancer potential of synthesized material was explored on MCF-7 cells using an in vitro approach and the results indicates that the TAB-ZnO NPs have notably suppressed the proliferation of cancer cells. To figure out how the chemical components of this plant reveal their anticancer effects after being capped with zinc, they were docked on cancer-related proteins such as β-Defensin 6, BRCA1 and neurofibromin. The study found that phytochemicals with a zinc cap have several contacts with the residues of breast cancer-related proteins, suggesting that zinc enhances the anticancer effects of these phytochemicals. Based on the outcome of in vitro and in silico findings, the present research concluded that synthesized TAB-ZnO NPs could be developed as a potential drug candidate in suppressing the proliferation of cancer cells.

An Assessment of the Residual Stress of Pipelines Subjected to Localized Large Deformations

Subsea pipelines subjected to impacts are prone to generating significant deformations and residual stresses, which could reduce their structural integrity and increase the risk of failure. This paper introduces analytical and numerical frameworks aimed at predicting residual stress behavior induced by subsea pipeline impacts. An empirical formula to regulate residual stress levels in extensively deformed submarine pipelines is derived through a parameter-fitting method. This formula enables the swift and accurate computation of the residual stress magnitudes in such pipelines. Abaqus is employed to simulate the residual stresses in large-deformation submarine pipelines. The results of the finite element analysis are validated through experimental work. A comprehensive database is constructed via the finite element method to fit an empirical formula for residual stresses in large-deformation submarine pipelines. The empirical formula places particular emphasis on the influence of the diameter-to-thickness ratio and dent depth on the residual stresses. It is crucial for pipeline design and maintenance.

Influence of the elevation effect of slope blasting on the vibration velocity of existing buried steel pipes.

Blasting vibration(BV) may cause the instability and damage to the surrounding structures and infrastructures, even leading to serious accident. As far as slope blasting is concerned, more and more attention has been paid to the elevation effect of BV of rock mass. However, scarce information is available on the influence of the elevation effect of slope blasting on the BV of surrounding structures, especially the existing buried pipes. As a consequence, the influence of the elevation effect of slope blasting on the BV of steel pipes was numerically investigated according to finite element model, which was verified against the experimental result. Moreover, the formula is presented to predict the peak vibration velocity (PVV) of steel pipes under slope blasting. It is found that PVV of the steel pipes has the elevation amplification effect in the terrain with positive or negative elevation difference. PVV of the pipes in the terrain with positive elevation difference is greater than that in the terrain with the same negative elevation difference. The elevation effect is more obvious under the condition of the positive elevation difference (2.1-5.1m). The modified Sadovsky's empirical formula is more suitable to predict PVV of the buried steel pipes during the slope blasting process.

A landslide runout model for sediment transport, landscape evolution, and hazard assessment applications

Abstract. We developed a new rule-based, cellular-automaton algorithm for predicting the hazard extent, sediment transport, and topographic change associated with the runout of a landslide. This algorithm, which we call MassWastingRunout (MWR), is coded in Python and implemented as a component for the package Landlab. MWR combines the functionality of simple runout algorithms used in landscape evolution and watershed sediment yield models with the predictive detail typical of runout models used for landslide inundation hazard mapping. An initial digital elevation model (DEM), a regolith depth map, and the location polygon of the landslide source area are the only inputs required to run MWR to model the entire runout process. Runout relies on the principle of mass conservation and a set of topographic rules and empirical formulas that govern erosion and deposition. For the purpose of facilitating rapid calibration to a site, MWR includes a calibration utility that uses an adaptive Bayesian Markov chain Monte Carlo algorithm to automatically calibrate the model to match observed runout extent, deposition, and erosion. Additionally, the calibration utility produces empirical probability density functions of each calibration parameter that can be used to inform probabilistic implementation of MWR. Here we use a series of synthetic terrains to demonstrate basic model response to topographic convergence and slope, test calibrated model performance relative to several observed landslides, and briefly demonstrate how MWR can be used to develop a probabilistic runout hazard map. A calibrated runout model may allow for region-specific and more insightful predictions of landslide impact on landscape morphology and watershed-scale sediment dynamics and should be further investigated in future modeling studies.