Extraction Of Components Research Articles

Lipopeptides from Bacillus velezensis ZLP-101 and their mode of action against bean aphids Acyrthosiphon pisum Harris

BackgroundNatural products are important sources for the discovery of new biopesticides to control the worldwide destructive pests Acyrthosiphon pisum Harris. Here, insecticidal substances were discovered and characterized from the secondary metabolites of the bio-control microorganism Bacillus velezensis strain ZLP-101, as informed by whole-genome sequencing and analysis.ResultsThe genome was annotated, revealing the presence of four potentially novel gene clusters and eight known secondary metabolite synthetic gene clusters. Crude extracts, prepared through ammonium sulfate precipitation, were used to evaluate the effects of strain ZLP-101 on Acyrthosiphon pisum Harris aphid pests via exposure experiments. The half lethal concentration (LC50) of the crude extract from strain ZLP-101 against aphids was 411.535 mg/L. Preliminary exploration of the insecticidal mechanism revealed that the crude extract affected aphids to a greater extent through gastric poisoning than through contact. Further, the extracts affected enzymatic activities, causing holes to form in internal organs along with deformation, such that normal physiological activities could not be maintained, eventually leading to death. Isolation and purification of extracellular secondary metabolites were conducted in combination with mass spectrometry analysis to further identify the insecticidal components of the crude extracts. A total of 15 insecticidal active compounds were identified including iturins, fengycins, surfactins, and spergualins. Further insecticidal experimentation revealed that surfactin, iturin, and fengycin all exhibited certain aphidicidal activities, and the three exerted synergistic lethal effects.ConclusionsThis study improved the available genomic resources for B. velezensis and serves as a foundation for comprehensive studies of the insecticidal mechanism by Bacillus velezensis ZLP-101 in addition to the active components within biological control strains.

Emerging Trends in the Treatment of Skin Disorders by Herbal Drugs: Traditional and Nanotechnological Approach.

Since the earliest days, people have been employing herbal treatments extensively around the world. The development of phytochemical and phytopharmacological sciences has made it possible to understand the chemical composition and biological properties of a number of medicinal plant products. Due to certain challenges like large molecular weight and low bioavailability, some components of herbal extracts are not utilized for therapeutic purposes. It has been suggested that herbal medicine and nanotechnology can be combined to enhance the benefits of plant extracts by lowering dosage requirements and adverse effects and increasing therapeutic activity. Using nanotechnology, the active ingredient can be delivered in an adequate concentration and transported to the targeted site of action. Conventional therapy does not fulfill these requirements. This review focuses on different skin diseases and nanotechnology-based herbal medicines that have been utilized to treat them.

Protective Effect of Polyphenolic Extracts from Hippophae rhamnoides L. and Reynoutria japonica Houtt. on Erythrocyte Membrane.

Sea buckthorn and Japanese knotweed are known in many traditional medicine systems to be a great source of bioactive substances. This research aims to compare the bioactivity and protective effects of the phenolic extracts of leaves from sea buckthorn and roots and leaves from the Japanese knotweed on erythrocytes. The polyphenol composition of the extract was analyzed using UPLC-PDA-ESI-MS/MS. The extracts' toxicity and impact on the erythrocytes' osmotic fragility were measured spectrophotometrically. The antioxidant activity was determined based on the inhibition of oxidation of erythrocytes and their membrane induced by 2,2'-Azobis(2-methylpropionamidine) dihydrochloride (AAPH),measured spectrophotometrically and using fluorimetry. To find the possible mechanism of the extracts' action, extract-modified cells were observed under a microscope, and the potential localization of the extract's phytochemical composition was checked using fluorescent probes. The results showed that the used extracts are not toxic to erythrocytes, increase their osmotic resistance, and successfully protect them against free radicals. Extract components localize on the outer part of the membrane, where they can scavenge the free radicals from the environment. Altogether, the presented extracts can greatly protect living organisms against free radicals and can be used to support the treatment of diseases caused by excess free radicals.

Editorial: Underutilized Ingredients in Innovative Food Formulations

ABSTRACT The rapid change in eating habits and consumer demands for healthy food are the driving motives for food industries to formulate new food products. Innovative food formulations are either very expensive or based on targeted customers. Low glycemic foods, fiber enriched products, plant-based meat formulations, and functional foods are predominating the in-food innovations. However, to attain sustainability and promote zero food waste, it is extremely important to explore food byproducts and underutilized food sources. Among food byproducts, peels, seeds, pomace have great potential and can be used for the extraction of bioactive and functional components for subsequent incorporation in innovative food formulations. Similarly, millets are excellent sources of quality proteins and sweet potatoes are rich sources of bioactive carbohydrates, proteins, carotenoids, and minerals. Innovative formulations are not only based on innovative ingredients but also innovative or modern food processing can contribute toward better food products in terms of functional, nutritional, and quality attributes.

Anti-Influenza A Potential of Tagetes erecta Linn. Extract Based on Bioinformatics Analysis and In Vitro Assays.

Tagetes erecta Linn. (TE) is traditionally used to treat cardiovascular, renal, and gastrointestinal diseases. In this study, we investigated the active compounds and targets of TE extract that may exert antiviral effects against influenza A. Active compounds and targets of TE extract were identified using the Traditional Chinese Medicine Systems Pharmacology database (TCSMP). The influenza A-related gene set was screened using GeneCards and the Kyoto Encyclopedia of Genes and Genomes (KEGG). A protein-protein interaction (PPI) network was built to establish the hub targets. Pathway and target studies were conducted using Gene Expression Omnibus (GEO). The interactions between active compounds and potential targets were assessed by molecular docking. An in vitro study was performed using antiviral and plaque reduction assays. From the compound and target search, we identified 6 active compounds and 95 potential targets. We retrieved 887 influenza-associated target genes and determined 14 intersecting core targets between TE and influenza. After constructing a compound-target network, we discovered lutein and beta-carotene to be the key compounds. Next, PPI network analysis identified the top three hub genes associated with influenza (IL-6, HIF1A, and IL-1β). Similarly, GEO analysis revealed IL-6, TGFB1, and CXCL8 to be the top three target genes. In our docking study, we identified that lutein and IL-6 had the strongest bindings. Our in vitro experimental results revealed that the TE extract exhibited therapeutic rather than prophylactic effects on influenza disease. We identified lutein as a main active compound in TE extract, and IL-6 as an important target associated with influenza, by using data mining and bioinformatics. Our in vitro findings indicated that TE extract exerted protective properties against the influenza A virus. We speculated that lutein, as a key active component in TE extract, is largely responsible for its antiviral effects. Therefore, we suggest TE extract as an alternative in the treatment of influenza.

Mangiferin, a component of Mangifera indica leaf extracts, inhibits lipid synthesis in human sebocytes

Inhibition of lipid synthesis in sebocytes is essential for acne treatments. The effects of natural product-derived substances on lipid synthesis are unknown. This study investigated the effects of water extract of Mangifera indica leaves (WEML) on lipid synthesis in human sebocytes. Sebocyte differentiation in low serum conditions increased lipid accumulation and proliferator-activated receptor γ expression. WEML treatment significantly inhibited lipid accumulation and adipogenic mRNA expression in sebocytes. Mangiferin, a bioactive compound in WEML, also reduced lipid accumulation and adipogenic mRNA expression via the AKT pathway. Thus, WEML and mangiferin effectively inhibit lipid synthesis in sebocytes, showing promise for acne treatment.

EVALUATE THE EFFECT OF CINNAMON ZEYLANICUM 0IL EXTRACT IN INHIBITION OF BACTERIA IN LABORATORY BISCUIT

This study was aimed to investigate effect of cinnamon zeylnicum oil extract in inhibition of bacteria in laboratory biscuit.revealed chemical research on cinnamon oil extract has the presence of alkaloids, glycosides, saponins, resins, coumarins, terpenes, flavonoids, and stimulants. Using GC-MS and FT-IR analysis, it was found that the hot water extract contains terpenes, glycosides, resins, saponins, and phenols, indicating the effectiveness of these beneficial components in cinnamon oil extract. Biscuits were manufactured in the laboratory and fortified with different concentrations (0.125%, 0.25%, 0.50%, and 0.75%) of C. Zeylanicum oil extract and stored for 10 days at room temperature. The results showed that 0.125% and 0.25% showed no inhibitory activity against bacterial counts, while those of 0.50% and 0.75% inhibited bacterial counts until the eighth day of storage. Regarding the sensory evaluation of the laboratory-manufactured biscuits fortified with cinnamon oil extract, treatment A5 (control) received the highest score of 6 for the texture property. In contrast, treatment A4 (0.75%) received the lowest score of 4.80. In the same property, for the smoothness attribute, treatment A2 (0.25%) received the highest score of 5.70, while treatment A4 (0.75%) received the lowest score of 4.10.

Dendrobium officinale flos water extract ameliorates ethanol-induced acute gastric mucosal injury via inhibiting oxidative stress and inflammation.

Dendrobium officinale flos (DOF), a novel food raw material, is used in Chinese folk medicine to nourish the stomach. However, there is still no available study to evaluate the effects of DOF on animal models of acute gastric injury and its mechanism by modern pharmacological research. Herein, we characterized the major components of an aqueous extract of DOF and assessed its potential ameliorative effects in a rat model of acute gastric mucosal injury. The DOF water extract showed significant protective effects on the gastric mucosa and exhibited excellent antioxidant and anti-inflammatory activities. Acute gastric injury rat models induced by ethanol (6 mL kg-1) were pretreated with different doses of DOF water extract (50-100 mg kg-1 day-1), and the biological effects of DOF extract in gastric tissues were evaluated. DOF extract alleviated the symptoms of ethanol-stimulated acute gastric mucosal injury, as evidenced by a significant reduction in gastric injury index and the degree of gastric pathological changes. Additionally, treatment with DOF extract upregulated mucin expression in the gastric mucosa, attenuated oxidative stress, decreased the release of inflammatory mediators (TNF-α, IL-6), suppressed the expression of key proinflammatory enzymes (COX-2 and iNOS), reduced the phosphorylation of p38 MAPK and p65 NF-κB and increased the level of PGE2 in gastric tissues. DOF exerts protective effects against ethanol-induced acute gastric mucosal injury, mainly by inhibiting inflammation and oxidative stress. © 2024 Society of Chemical Industry.

Biosynthesis of zinc oxide nanoparticles via neem extract and their anticancer and antibacterial activities.

In the present study, zinc oxide nanoparticles (ZnO-NPs) were synthesized using neem leaf aqueous extracts and characterized using transmission electron microscopy (TEM), ultraviolet visible spectroscopy (UV-Vis), and dynamic light scattering (DLS). Then compare its efficacy as anticancer and antibacterial agents with chemically synthesized ZnO-NPs and the neem leaf extract used for the green synthesis of ZnO-NPs. The TEM, UV-vis, and particle size confirmed that the developed ZnO-NPs are nanoscale. The chemically and greenly synthesized ZnO-NPs showed their optical absorbance at 328 nm and 380 nm, respectively, and were observed as spherical particles with a size of about 85 nm and 62.5 nm, respectively. HPLC and GC-MS were utilized to identify the bioactive components in the neem leaf aqueous extract employed for the eco-friendly production of ZnO-NPs. The HPLC analysis revealed that the aqueous extract of neem leaf contains 19 phenolic component fractions. The GC-MS analysis revealed the existence of 21 bioactive compounds. The antiproliferative effect of green ZnO-NPs was observed at different concentrations (31.25 µg/mL-1000 µg/mL) on Hct 116 and A 549 cancer cells, with an IC50 value of 111 µg/mL for A 549 and 118 µg/mL for Hct 116. On the other hand, the antibacterial activity against gram-positive and gram-negative bacteria was estimated. The antibacterial result showed that the MIC of green synthesized ZnO-NPs against gram-positive and gram-negative bacteria were 5, and 1 µg/mL. Hence, they could be utilized as effective antibacterial and antiproliferative agents.

The possible effect of crude phenolic-rich extract from mushroom (Pleurotus ostreatus) on infertility induced by streptozotocin in rats fed a high-fat diet as a model of type 2 diabetes

BackgroundPhenolic compounds (PC) are found in various foods that are part of the human diet, such as mushrooms. The identification of PC is crucial due to their bioactive properties and their role in disease prevention. This study aimed to assess the antioxidant and antidiabetic properties of the phenolic component extract (PCE) derived from the Pleurotus ostreatus mushroom. The extract was separated using high-performance liquid chromatography (HLPC). The PCE was then tested on diabetic rats fed a high-fat diet (HFD). Also, this study was an attempt to treat infertility caused by type 2 diabetes in male rats.MethodsStreptozotocin (STZ) was administered to Wistar rats after a 4-week HFD as a model of type 2 diabetes (D2). Animals were given phenols orally on a high-fat diet for four weeks after being diagnosed with diabetes.ResultsPCE constituents were 48.02% carbohydrates, 21.15% protein, 6.16% fiber, 2.06% fat, and 6.93% ash. The evaluation of the PCE was carried out by assessing its retention rates and subsequently comparing the UV data to standards.Total phenols and flavonoids in the crude extract were 23.04 mg/g gallic acid equivalent and 8.14 mg/g quercetin equivalent, respectively. Catechin was found as the significant PC (121.53 µg/mL), while gallic acid was the second PC (11.64 µg/ml) in the PCE of mushrooms. PCE showed high radical scavenging activity on DPPH. With dosage and incubation duration in dark-dependent conditions, it was discovered to be 93.23% at a 500 µg/ml concentration after 120 min in the dark. PCE reduces blood glucose levels while elevating insulin levels and antioxidant activity indicators. Our results show that phenols and their bioactive components can change glucose metabolism in STZ-induced diabetic HFD rats (D2).ConclusionsThis study supports PCE's therapeutic potential in treating hyperglycemia, increasing insulin secretion, and addressing diabetes-induced infertility.

In vitro and in vivo inhibitory effects of the Sanghuang mushroom extracts against Candida albicans.

Aim: To explore the antifungal potential of Sanghuang mushroom, a traditional Chinese medicine. Materials & methods: The antifungal properties and the potential mechanism of Sanghuang mushroom extracts against Candida albicans were studied in vitro and in vivo. Results: Sanghuang mushroom extracts inhibited the biofilm formation, increased the cell membrane permeability and promoted cell apoptosis of C. albicans in vitro. In a murine model of vulvovaginal candidiasis, Sanghuang mushroom extracts reduced the vaginal fungal load, improved inflammatory cell infiltration and downregulated the expression of TNF-α, IL-1β and IL-6. Untargeted metabolomic analysis suggested the presence of ten antifungal components in Sanghuang mushroom extracts. Conclusion: Sanghuang mushroom extracts showed promise as antifungal agent against candidiasis, with potential therapeutic implications.

Chemical Component Analysis of Marine Sponge Extract of Potentially Medicinal Based on Solvent Differences

Tracing and characterizing marine natural materials with special medicinal abilities is important to obtain new materials to enrich the diversity of drugs to treat particular diseases. The identification of the chemical components of sponges is interesting, considering the uniqueness and several other abilities possessed by sponges that are thought to have medicinal potential. Searching for chemical components in sponge extracts is suspected to contain secondary metabolic substances with medicinal potential. The study aimed to identify the chemical components of sponge extract with potential medicinal value based on differences in solvents. The first extract on the sponge Clathria (Thalysias) reinwardti Sp.1 (CTR) by maceration method using semi-polar solvents (methanol). The second extraction uses a separating funnel with two types of non-polar solvents (diethyl-ether and n-hexane). The chemical components of the three extracts were analyzed using a gas chromatography-mass spectrophotometer instrument. The identified chemical components of sponge extract generally belong to the class of free fatty acids and cholesterol. Investigation of identified compounds with medicinal value chemical components, for example, Cholestan-3.alpha.-ol, Ergosta-5, Hexadecanoic acid, 1-(2,6-Dichlorophenyl)-2-indolinone and Pyridine-3-carboxamide. Searching for chemical components with medicinal potential from sponge extracts is novelty research based on differences in solvents, a new method. Complementing the data from this research, it is necessary to carry out further and specific searches related to chemical components with medicinal properties, which can be carried out by chromatographic fractionation and testing the activity of the extract against bacteria. pathogens and parasitic fungi.

Performance monitoring and diagnosis of bridge structures based on time multiscale divide and conquer strategy

During the service life of bridge structures, they will be affected by various physical and environmental changes, which comprehensively manifest on different time scales. In other words, structural effects will have different variation patterns at different time scales, which will be reflected in the multi-scale characteristics of structural mechanical properties over time. However, most of the existing bridge performance indicators are defined on a time scale corresponding to a single factor. Therefore, it is necessary to analyze, process, and apply bridge monitoring signals differently at different time scales and components of different factors. This article proposes a signal decomposition and reconstruction method that extracts signals of different components from strain monitoring signals of bridge structures. On this basis, different feature extraction and indicator recognition are carried out for different extracted components. Among them, for component A related to bridge vibration, this paper proposes a strain mode identification method based on statistical stability. This method is based on the assumption that the strain mode under random noise has approximate time invariant characteristics, and noise is eliminated through statistical averaging. The component B of the vehicle induced effect is obtained through empirical mode decomposition (EMD) and bandpass filtering, and the lateral collaborative performance of the assembled beam bridge is characterized based on the correlation coefficient of component BA bridge hinge joint damage identification method based on temperature strain is proposed for component C of temperature effect. The effectiveness and feasibility of the above workflow were verified through real bridge data.

STUDIES ON EXTRACTION OF COPPER FROM SULFURIC ACID SOLUTION AFTER THERMOCHEMICAL ENRICHMENT OF ROUGH CONCENTRATE

One of the processes of complete and complex extraction of valuable components is the desiliconization of final tailings to increase the content of concentrate and obtain marketable products in the form of white soot and copper cathode. This study aimed to investigate the possibility of further extraction of copper from the sulfuric acid solution obtained after the thermochemical enrichment of rough copper concentrate on a temperature range of 300-500°C. Acorga M5774 extractant and Elixore 205 diluent served to extract copper from the pregnant solution containing 9.59 g/l copper and 24.6 g/l iron. The study of the extractant performance and parameters involved plotting the isotherms of extraction and re-extraction curves. The result shows thermochemical enrichment of the rough concentrate using alkali and subsequent leaching with further copper extraction. The concentrate water leaching yielded 88.0% silicon recovery and 96.15% copper recovery. The copper recovery was 97.9%, with an organic-to-water phase ratio of 1.2. From the dependence of iron transfer on the copper saturation of the organic phase, it follows that if the latter is low, the rest of the extractant will absorb iron, so some excess copper content is required.

Outlier detection in temporal and spatial sequences via correlation analysis based on graph neural networks

Outlier detection is essential for identifying patterns that deviate from expected normal representations in data. Real-world challenges such as the lack of labeled data, noise, and high dimensionality significantly impact the effectiveness of existing methods. Understanding the temporal or spatial correlation of normal data is crucial for detecting or forecasting anomalous patterns. In this paper, we introduce UOSC-GNN, a novel Unsupervised Outlier detection architecture by Sequential Correlation analysis with Graph Neural Network. The architecture includes a deviation generation module to measure the variance between expected and actual states of sequential data. This module incorporates a Generic Feature Extraction component to extract intrinsic features from outliers and normal instances tailored to specific tasks, and an Expected State Estimator component based on Graph Neural Network to learn sequential patterns. To ensure the forecast of outliers with high confidence and improve alarm accuracy, an Outlier Probability Assessment module is introduced. This module combines a rule-based index derived from expert knowledge and a statistical index calculated based on generated deviations. Our method is evaluated on two real-world tasks: medical imaging analysis utilizing spatial-related data and early fault detection of instruments leveraging temporal-related data. The results show that our method triggers alarms about 70 min earlier than the best models on the run-to-failure bearing dataset and achieves an accuracy of 92.82% and a sensitivity of 88.51% on the wireless capsule endoscopy image dataset, outperforming traditional outlier detection algorithms consistently.

Identification of Phenolic Compounds Present in Three Speedwell (Veronica L.) Species and Their Antioxidant Potential.

Extracts from Veronica species (speedwells) are known for the various biological activities they show, such as cytotoxic, antimicrobial, anti-inflammatory, and antioxidant activities. Also, the plants from this genus are known as medicinal plants used in traditional medicine worldwide. Phenolic compounds are specialized metabolites that contribute to biological activity the most. Therefore, the aim of this research is identification and quantification of phenolic compounds present in three Veronica species (Veronica anagallis-aquatica L., Veronica persica Poir., and Veronica polita Fr.) using the liquid chromatography-mass spectrometry (LC-MS/MS) technique. All extracts were tested for antioxidant activity with two methods: DPPH (2,2-diphenyl-1-picrylhydrazyl) and ORAC (oxygen radical absorbance capacity). Also, standards for compounds that were detected in the highest amount in all species were also tested for antioxidant activity. Three different solvents (pure methanol, 80% ethanol, and water) were used for the extraction of phenolic components and their comparison in order to test their antioxidant activity as a final goal. The main compounds present in the tested Veronica extracts were: p-hydroxybenzoic acid, vanillic acid, caffeic acid, gentisic acid, and apigenin. V. anagallis-aquatica contained the highest amount of phenolic components in comparison with the two other tested species, V. persica and V. polita. Caffeic acid showed the highest antioxidant activity in both studied methods with an IC50 value for DPPH activity of 1.99 µg/mL. For the plant extracts, in general, methanolic/ethanolic extracts showed higher activity than water extracts in both methods which was expected, as organic solutions extract more phenolic compounds. This research points to the potential application of extracts of different Veronica species for antioxidant activity.

Enspectrumix: Novel adaptive methodology for fault component extraction from vibration mixtures

Machine condition monitoring is important in industry to monitor machine health conditions and avoid unexpected machine breakdowns. Vibration mixtures contain sufficient machine health information, but they have lots of vibration interferences. Therefore, it is crucial to adaptively extract fault components from vibration mixtures. Blind-filter-based methods have been extensively studied to extract fault components and they use impulsiveness and cyclo-stationarity properties as prior knowledge to optimize signal processing parameters. The difficulties of state-of-the-art methods include that: (1) statistical indices (e.g., kurtosis, Gini index, correlated kurtosis, etc.) cannot simultaneously characterize impulsiveness and cyclo-stationarity properties so that blind-filter-based methods are always affected by impulsive noise and low-frequency components, resulting in unreliable performance for fault components extraction; (2) optimization of signal processing parameters is time-consuming; (3) band-in noise cannot be removed; (4) only a frequency band rather than several frequency bands can be adaptively selected, resulting in the incomplete fault components extraction. Instead of using the aforementioned prior knowledge, this paper reports a new perspective that use healthy vibration mixtures as prior knowledge to improve the existing blind-filter-based methods and provide more reliable fault components extraction for practical implementation in industry. Firstly, an ensemble difference spectrum-based new index is proposed to provide a completely new perspective for traditionally existing statistical indices. Subsequently, it is theoretically proved that the new index satisfies two new properties for quickly and better quantifying fault components. Next, a new methodology named Enspectrumix is designed to decompose a raw vibration mixture into sub-signals and use the newly designed index to adaptively select informative sub-signals existing in different frequency bands. The effectiveness and superiorities of the proposed Enspectrumix are validated by two real-world dataset cases. Moreover, the Enspectrumix can be extended to extract concerned difference components in many other domains.

Bio-efficacy of mustard seed extracts against Bihar hairy caterpillar Spilosoma obliqua (Erebidae: Lepidoptera) & assessment of mustard allelo-chemicals in response to mustard aphid Lipaphis erysimi (Aphididae: Hemiptera) infestation

Mustard seed contains glucosinolate-myrosinase system of substrate-enzyme metabolism, accompanied with compartmentalized cells. Upon rupture, enzyme myrosinase leads to breakdown of glucosinolates and its metabolized products like allyl, benzyl, phenyl type of isothiocyantes and many other types like nitriles are released. The myrosinase activity is tested in three globally utilized different seed coat color mustards viz., brown mustard (Brassica juncea), white mustard (Sinapis alba) and black mustard (Brassica nigra) to demonstrate the release of glucosinolates which are known to deter insect pests. Aqueous seed extracts of these mustard types were subjected to anti-feedant activity analysis and oil extracted from these mustard seeds was subjected to insecticidal activity analysis against Spilosoma obliqua 4th instars on castor leaves. Meanwhile, the mustard leaves in open field were allowed for natural aphid infestation during early months from January to March. Thereafter, the leaf twigs of white, black and brown mustard, infested and uninfested by aphids, were collected and myrosinase activity of plants was analyzed with varying levels of important pest inflicted biochemicals in plant, viz., Total phenols, ortho-dihydric phenols and flavonols. Gas Chromatography–Mass Spectrometry analysis of mustard oil used in insecticidal activity was performed to elucidate the role of biochemicals involved in action. These compounds along with fatty acids and sterols compounds are known to have anti-feedant & insecticidal activities. Aqueous extract components were also subjected to total glucosinolate analysis, spectrophotometrically for knowing their concentration, with highest in brown (85.81 µmol/g) followed by black (59.32 µmol/g) and lowest in white mustard (47.63 µmol/g). The amount of glucosinolates, free fatty acids & sterol compounds present in different coat color mustard seed types are being correlated here with their potential bioactivities against biological plant pests. Bio-control of potentially harmful insect pests is possible by utilizing anti-feeding & insecticidal potential of mustard seed extracts.

Molecular insights to in vitro biocompatibility of endodontic Pulpotec with macrophages determined by oxidative stress and apoptosis

Pulp therapy has been emerged as a one of the efficient therapies in the field of endodontics. Among different types of new endodontic materials, pulpotec has been materialized as a recognized material for vital pulp therapy. However, its efficacy has been challenged due to lack of information about its cellular biocompatibility. This study evaluates the mechanistic biocompatibility of pulpotec cement with macrophage cells (RAW 264.7) at cellular and molecular level. The biocompatibility was evaluated using experimental and computational techniques like MTT assay, oxidative stress analysis and apoptosis analysis through flow cytometry and fluorescent microscopy. The results showed concentration-dependent cytotoxicity of pulpotec cement extract to RAW 264.7 cells with an LC 50 of X/10-X/20. The computational analysis depicted the molecular interaction of pulpotec cement extract components with metabolic proteins like Sod1 and p53. The study revealed the effects of Pulpotec cement's extract, showing a concentration-dependent induction of oxidative stress and apoptosis. These effects were due to influential structural and functional abnormalities in the Sod1 and p53 proteins, caused by their molecular interaction with internalized components of Pulpotec cement. The study provided a detailed view on the utility of Pulpotec in endodontic applications, highlighting its biomedical aspects.

Two Metallic Nanoparticles Formulas of Phyllostachys heterocycla Extract Exhibited Potent Cytotoxicity against Ovarian Cancer Cells through Apoptosis Induction

Phyllostachys heterocycla is well-known for its high diversity of bioactive metabolites, which are the reason for its various potential medical uses for which anticancer activity has been proven. Herein, Phyllostachys heterocycla extract was prepared in two different metallic nanoparticle formulas such as iron oxide nanoparticle-boron, and iron oxide nanoparticle-humic acid (Fe2O3 NP-B and Fe2O3 NP-HA) with average particle sizes of 12.25 nm and 15.80 nm, respectively. Phyllostachys heterocycla extract and the two nano-formulas were investigated to obtain their cytotoxic activity. The crude extract exhibited potent cytotoxic activity against the ovarian (OVCAR-3) cancer cell line, with IC50 values of 16.3 µg/mL. In comparison, the two nano-loaded forms displayed a much more promising cytotoxic activity with IC50 values of 0.9 µg/mL for Fe2O3 NP-HA, and 6.4 µg/mL for Fe2O3 NP-B. Additionally, NP-HA and NP-B showed potent cytotoxic activities against prostate (PC-3) and pancreatic (Panc1) cancer cell lines with IC50 values of 2.31, 6.3 µg/mL for Fe2O3 NP-HA, and 14.9, 16.8 µg/mL for Fe2O3 NP-B. For apoptosis investigation, Fe2O3 NP-HA induced total ovarian apoptotic cell death by a 87.34-fold change, and necrosis by 1.29-fold change. Regarding cell cycle analysis, Fe2O3 NP-HA-PHE arrested the cell proliferation of OVCAR-3 cells in S-phase, with an increased cell population at S-phase of 42.6%. Additionally, it confirmed the apoptosis mechanism by inhibiting the antiapoptotic gene and activating the proapoptotic gene markers. Moreover, upon continuation of our phytochemical investigation of the plant, additional chemical components of the crude extract of Phyllostachys heterocycla were isolated using various chromatographic techniques. As a result, six compounds were isolated. By using different spectroscopic data, the chemical structures of the pure isolated compounds were assigned as stigmasterol (1), glyceryl monobehenate (2), vanillic acid (3), ferulic acid (4), catechin (5), and thymidine (6). These isolated compounds were previously reported for their potent cytotoxic activities against panel of cancer cell lines including pancreatic cancer and prostate cancer cell lines (Ferulic acid), beside the anti-tumor potential against ovarian cell lines (Stigmasterol). In addition to the cytotoxic activity against human larynx carcinoma HepG-2 cell lines (Catechin), human breast cancer MCF7 (Thymidine), and human colon cancer cell line HT-29 (Vanillic acid). Which may explain the significant cytotoxic and anticancer properities of the crude extract of Phyllostachysheterocycla.