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Biotechnological approaches for the production of hypericin and other important metabolites from the genus Hypericum
Hypericin, a polycyclic naphthodianthrone and active plant pigment with the molecular formula C30H16O8, is a crucial phytochemical extracted from the dark-colored glands present on the aerial parts of the genus Hypericum. It is biosynthesized through the polyketide pathway by plant-specific type III polyketide synthases (PKSs). In addition to hypericin, the genus Hypericum is rich in various classes of phytochemicals. Alongside other bioactive compounds like hyperforin and flavonoids, hypericin exhibits antidepressant activity. Recently, hypericin has gained increased importance in the research due to its unique properties. Its photodynamic nature makes it an effective natural photosensitizer, extending its use in investigating skin disorders. Moreover, hypericin demonstrates antiviral and antitumoral properties. Despite its effectiveness in treating cancers and neurological disorders, hypericin production faces challenges due to its site-specific nature. Conventional methods struggle to meet the growing demand for hypericin. Biotechnological approaches, including plant tissue culture and bioreactor-based large-scale production, offer promising solutions to address this demand. This review focuses on various plant tissue culture techniques, such as cell and organ culture, and elucidates their biosynthetic pathways. It also discusses hypericin production using elicitation strategies involving biotic and abiotic components, as well as genetic engineering approaches to enhance hypericin yields. Bioreactor-scale production presents significant potential for sustainable hypericin production. Further advancements in understanding and engineering biosynthetic pathways hold promise for unlocking new avenues in hypericin production. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Biotechnological Research Progress in Jatropha, a Biodiesel-Yielding Plant
Environmental pollution is one of the most pressing challenges in todays world. The main cause of this pollution is fuel emissions from automobiles and other sources. As industrialization progresses, we will be unable to compromise on the use of energy to power heavy machines and will be forced to seek out the best options. As a consequence, utilizing green fuel, such as biodiesel derived from natural sources, is a realistic option. Jatropha curcas L. (Euphorbiaceae) is recognized as the greatest feedstock for biodiesel production throughout the world, and it has gained a huge market value in the recent years. Conventional cultivation alone will not be sufficient to meet the global need for the plants biomass for the production of biodiesel. Adoption of plant tissue culture techniques that improve the biomass availability is an immediate need. The present review provides detailed information regarding in-vitro plant propagation (direct and indirect organogenesis), somatic embryogenesis, and acclimatization protocols of plantlets for stabilized production of biomass. The review also focuses on biotechnological approaches such as gene transformation studies, production of haploids, and double haploids for developing elite germplasm for high biomass and improved traits for the production of biodiesel. 2022 by the authors. Licensee MDPI, Basel, Switzerland. -
Biotic elicitation mediated in vitro production of L-DOPA from Mucuna pruriens (L.) DC. cell cultures
With the emerging rise in the need for drugs extracted from various plant sources, there also arises the need for the optimum production of the drugs on a larger scale and conservation of those medicinal plants using different in vitro techniques and biotechnological approaches. Plant tissue culture techniques play a prominent role in mass multiplication of the plant. Whereas, strategies such as precursor feeding, elicitation, increases the metabolite content several-fold. Thus, an attempt of using the biotic elicitors for enhancing L-DOPA production, the anti-Parkinsons drug from Mucuna pruriens (L.) DC. cell cultures, has been reported in the present study. Aqueous extracts of algae [Amphiroa anceps (AA), Gracillaria ferogusonii (GF), Kappaphycus striatum (KS), and Sargassum lanceolatum (SL)], fungus [Aspergillus sps. (AS), Penicillium sps. (PE), and Cordyceps sps (CO)], and polysaccharide [Chitosan (CH)] solution were exposed to the cell cultures for 3, 6, and 9 d, respectively, and their effect on biomass and L-DOPA production was noted. This is the first report demonstrating the enhancement of biomass and L-DOPA from M. pruriens cell cultures with the use of various algal and fungal elicitors. Based on productivity (L-DOPA concentration biomass volume), it was observed that Cordyceps showed the best result and enhanced both biomass and metabolite to a greater scale. The elicitors, which showed a significant increase, are as follows: CO > AS > PE > CH > AA > KS > GF > SL. On the whole, it was noted that fungal extracts showed better results than algae. 2022, The Society for In Vitro Biology. -
Biotic elicitors influence boeravinone B production from cell suspension cultures of Boerhavia diffusa Linn.
Boerhavia diffusa L., (punarnava) is known for its rich, secondary metabolite content and potential pharmacological properties. Boeravinone B, a flavonoid, is a significant plant secondary metabolite found in punarnava, exhibiting various pharmacological properties that translate into anticancer, antioxidant, anti-inflammatory, immunomodulatory and nephroprotective activities. However, the limited production of boeravinone B within the plant poses challenges in meeting market demands. In this study, various biotic components, including filtrates and supernatants of algae, fungi, and bacteria, are employed as elicitors to enhance the production of boeravinone B from the cell suspension cultures of punarnava. Fungal components like yeast extract, Aspergillus niger and Cordyceps militaris, bacteria like Escherichia coli and Bacillus subtilis, as well as Algae such as Valonia utricularis and Spirulina platensis, are utilised to assess their efficiency as elicitors at different day intervals. Results indicate that among all the elicitor treatments, fungal components like yeast extract, C. militaris and A. niger at 100 mg/L, 1 % and 5 % concentrations, administered 6, 6 and 2, days before harvesting, exhibit increased production of boeravinone B by 1.13, 1.14 and 2.63 folds, respectively, when compared to control cultures. Similarly, algae V. utricularis and S. platensis, at 2.5 % concentration and treated before harvesting on Day 6, demonstrate enhanced production of boeravinone B by 1.74 and 4.40 folds compared to control cultures. In addition, the efficiency of various biotic elicitors is examined by quantifying total phenolics and flavonoids in treated cell suspension cultures. These findings have the potential to enhance production strategies and meet the growing demand for this valuable compound with medicinal properties, leveraging easily accessible biotic elicitors. 2024 SAAB -
Biotic elicitors: a boon for the in-vitro production of plant secondary metabolites
Plant secondary metabolites are produced naturally in the plant system as a defense mechanism to combat environmental stress factors. These metabolites are extensively used in food, cosmetics, agrochemicals and pharmaceutical sectors. With the applications of plant tissue culture, any particular organ which is the major site for secondary metabolite production can be targeted and cultured. Recently, a new strategy to increase the metabolite production in plants has been employed with the use of elicitors. These elicitors are the chemical substances that trigger the biosynthetic pathways by activating certain transcriptional factors and upregulating the genes. Hence the secondary metabolite production increases in the plant system due to the stress developed by the introduction of the elicitors. Generally, elicitors may be abiotically derived from non-living sources or biotically derived from the living sources. In the present review, the mechanism of biotic elicitation and the applications of biotic elicitors like bacterial, fungal, algal elicitors and other polysaccharides extracted from them has been discussed extensively. It has been noted that the addition of bacterial elicitors like Rhizobiumrhizogenes showed a 94% increase in genistein production while Escherichia coli showed a 9.1-fold increase in diosgenin production. Similarly, fungal elicitors like Aspergillus niger increased thiophene production by 85% and a 26-fold increase in sanguinarine production was seen when the cultures were treated with Botrytis sps. Algal extracts like Haematococcus pluvialis increased the betalain production by 2.28 folds while Botryococcus braunii elicited Vanillin, Vanillylamine and Capsaicin by 3-fold, 6-fold and 2.3-fold respectively. 2021, The Author(s), under exclusive licence to Springer Nature B.V. -
Biotransformation of bovine tannery fleshing into utilizable product with multifunctionalities
Leather industries aim at the transformation of putrescible animal raw hides and skins into a stable non-putrescible material (leather), ultimately resulting in solid wastes generation. Storage of limed bovine fleshing, a predominant proteinaceous solid waste material from pre-tanning processes is highly discouraged due to their putrescible nature. Diversely, bio-conversion of solid waste into a saleable product could be achieved by bacterial fermentation process. Lactic acid (LA) fermentation with Delimed Bovine Tannery Fleshing (DBTF) by Lactobacillus plantarum was experimented; incubation time, tapioca flour and lactose were the three prime independent variables studied. Maximum LA production in steam cooked DBTF medium was achieved with pH 6; inoculum 12.5% (v/w); lactose 8.81% (w/w) and tapioca flour 8.9% (w/w) at 96 hours of fermentation. Initial yield of about 4.56 g/L of LA (p <.05), upon statistical manipulation of the medium composition marked up to 12.36 g/L, enabling 2.7-fold increase in the LA production with DBTF as a relatively cut-rate substrate. Fermentation resulted in Fermented Fleshing Flour (FFF) with marked protein level of 76.32% and lower fibre content. Formation of protein hydrolysates and new acid groups in FFF were authenticated via Field Emission Scanning Electron Microscopic (FE-SEM) and Fourier Transform Infra-red Spectroscopic (FTIR) analyses respectively. In situ acid (LA) generation and formation of protein hydrolysates/free amino acids during LA fermentation points to the antibacterial (against Gram-negative bacteria, followed by Gram-positive bacteria) and invitro antioxidative properties with dose dependency, of FFF, favouring its possible utilization in aqua feed industries as a superior grade proteinaceous feed ingredient with inbuilt bio-functionalities.. 2020 Informa UK Limited, trading as Taylor & Francis Group. -
Biowaste derived graphene quantum dots interlaced with SnO2 nanoparticles-a dynamic disinfection agent against: Pseudomonas aeruginosa
Highly resilient antibacterial strains are a major cause of concern in the modern sewage treatment and sanitation industry. Hence, development of efficient, low-cost disinfectant agents is essential. In this study, synthesis of graphene quantum dots (GQDs) from expended sugarcane bagasse via surface functionalization and the subsequent production of GQD/SnO2 nanocomposites via a facile hydrothermal route is demonstrated for the first time. The synthesized nanostructures are found to be studded with various oxygen moieties and exhibit an excitation independent fluorescence behaviour implying the existence of quantum confinement effects. Nanoparticles obtained after the hydrothermal treatment are found to possess spherical morphology with an average particle size of 4.5 nm. Antibacterial activity of the synthesized product is tested against Pseudomonas aeruginosa using the disc diffusion assay and minimum inhibitory concentration assay. A marked rise in the antibacterial performance is seen in the nanocomposite compared to its carbonized and GQD counterparts. This can be attributed to the presence of surface defects and smaller uniform sized particles. These cost-effective nanostructures are photo stable for extended periods of storage and may find excellent utility in the sanitation and disinfectant industry. 2019 The Royal Society of Chemistry and the Centre National De la Recherche Scientifique. -
Biowaste modified biosensor for determining projester one /
Patent Number: 201941029973, Applicant: Christ University.
The present invention relates to a technical field in the detection of hormones, particularly relates to the formation of a sensor for detecting progestrone, the sensor comprising; a biosensor, the biosensor is an electro chemical sensor. -
Biowaste-based porous carbon nanoparticle doped polymer dispersed ferroelectric liquid crystal composites: an impact on optical and electrical properties
Bio-waste-based porous carbon nanoparticles (PCNPs) were synthesized using green synthesis and investigated their doping effect on the optical and electrical properties of polymer-dispersed ferroelectric liquid crystals (PDFLCs) composites. Here we employed the polymerization-induced phase separation (PIPS) approach for constructing the PDFLCs. Our results indicate that the dispersion of PCNPs into the PDFLC material results in an alteration to several physical parameters, including morphology, dielectric permittivity, conductivity and optical band gap. A decrease in the ac conductivity of the doped samples was seen. Additionally, UV-Visible study reveals that inclusion of PCNPs resulted in a decrease in the optical band gap of PDFLC, with a value of approximately 3.1 eV. These findings demonstrate the potential of using PCNPs as dopants in PDFLCs for various applications, including sensing, energy storage and optoelectronics. 2024 Taylor & Francis Group, LLC. -
Biowaste-Derived, Highly Efficient, Reusable Carbon Nanospheres for Speedy Removal of Organic Dyes from Aqueous Solutions
The current work explores the adsorptive efficiency of carbon nanospheres (CNSs) derived from oil palm leaves (OPL) that are a source of biowaste. CNSs were synthesized at 400, 600, 800 and 1000 C, and those obtained at 1000 C demonstrated maximum removal efficiency of ~91% for malachite green (MG). Physicochemical and microscopic characteristics were analysed by FESEM, TEM, FTIR, Raman, TGA and XPS studies. The presence of surface oxygen sites and the porosity of CNSs synergistically influenced the speed of removal of MG, brilliant green (BG) and Congo red (CR) dyes. With a minimal adsorbent dosage (1 mg) and minimum contact time (10 min), and under different pH conditions, adsorption was efficient and cost-effective (nearly 99, 91 and 88% for BG, MG and CR, respectively). The maximum adsorption capacities of OPL-based CNSs for BG were 500 and 104.16 mg/g for MG and 25.77 mg/g for CR. Adsorption isotherms (Freundlich, Langmuir and Temkin) and kinetics models (pseudo-first-order, pseudo-second-order and Elovich) for the adsorption processes of all three dyes on the CNSs were explored in detail. BG and CR adsorption the Freundlich isotherm best, while MG showed a best fit to the Temkin model. Adsorption kinetics of all three dyes followed a pseudo-second-order model. A reusability study was conducted to evaluate the effectiveness of CNSs in removing the MG dye and showed ~92% efficiency even after several cycles. Highly efficient CNSs with surface oxygen groups and speedy removal of organic dyes within 10 min by CNSs are highlighted in this paper. 2022 by the authors. -
Bipolar Disease Data Prediction Using Adaptive Structure Convolutional Neuron Classifier Using Deep Learning
The symptoms of bipolar disorder include extreme mood swings. It is the most common mental health disorder and is often overlooked in all age groups. Bipolar disorder is often inherited, but not all siblings in a family will have bipolar disorder. In recent years, bipolar disorder has been characterised by unsatisfactory clinical diagnosis and treatment. Relapse rates and misdiagnosis are persistent problems with the disease. Bipolar disorder has yet to be precisely determined. To overcome this issue, the proposed work Adaptive Structure Convolutional Neuron Classifier (ASCNC) method to identify bipolar disorder. The Imbalanced Subclass Feature Filtering (ISF2) for visualising bipolar data was originally intended to extract and communicate meaningful information from complex bipolar datasets in order to predict and improve day-to-day analytics. Using the Scaled Features Chi-square Testing (SFCsT), extract the maximum dimensional features in the bipolar dataset and assign weights. In order to select features that have the largest Chi-square score, the Chi-square value for each feature should be calculated between it and the target. Before extracting features for the training and testing method, evaluate the Softmax neural activation function to compute the average weight of the features before the feature weights. Diagnostic criteria for bipolar disorder are discussed as an assessment strategy that helps diagnose the disorder. It then discusses appropriate treatments for children and their families. Finally, it presents some conclusions about managing people with bipolar disorder. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Bismuth (III) oxide decorated graphene oxide filled epoxy nanocomposites: thermo-mechanical and photon attenuation properties
In this study, bismuth (III) oxide (Bi2O3) decorated graphene oxide (GO) nanocomposites were employed as novel radioprotective fillers in the epoxy matrix. Decoration of GO with Bi2O3 would transform it as carrier for Bi2O3 particles, thereby enhancing the thermo-mechanical and radiation shielding properties of the epoxy composites through effective filler distribution. Structural and compositional studies confirmed the successful decoration of Bi2O3 on the surface of GO. Thereupon, epoxy composites containing decorated fillers at different loadings (5, 10 and 15 wt%) were synthesized using solution casting technique. The correlation between surface decoration and filler loading was systematically examined as function of thermo-mechanical, viscoelastic and radiation shielding properties of the composites. These nanocomposites displayed good thermal resistance (~ 450 C), high glass transition temperature (~ 136 C), elastic modulus (~ 4.36 GPa) and storage modulus, thereby confirming the improved dispersion and better interfacial adhesion in the composites. The formation of continuous filler network across epoxy matrix formed by decorated fillers significantly improved X-ray and ?-ray shielding properties of epoxy composites in the wide energy range of medical interest (301332 keV). Shielding efficiency of these lowly loaded BGO/epoxy composites were comparable with the composites containing Bi2O3 nanoparticles alone and highly loaded microcomposites. 2022 Japan Society for Composite Materials, Korean Society for Composite Materials and Informa UK Limited, trading as Taylor & Francis Group. -
Bismuth ferrite nanoparticles decorated CR2C MXENE: A highly efficient electrocatalyst for hydrogen evolution /
Patent Number: 202241040877, Applicant: B Shalini Reghunath.
The current invention demonstrates the efficiency of bismuth ferrite/Cr2C MXene binary composite as a highly efficient electrocatalyst for hydrogen evolution reaction in alkaline media. The methodology for preparing O2C MXene is by etching the O2AIC MAX phase with hydrofluoric acid for 30 min at room temperature. Cr2C MXene and bismuth ferrite nanoparticles are mixed under solvothermal conditions to obtain the bismuth ferrite/Cr2C-MXene binary composite. -
Bismuth ferrite nanoparticles decorated CR2C MXENE: A highly efficient electrocatalyst for hydrogen evolution /
Patent Number: 202241040877, Applicant: B Shalini Reghunath.
The current invention demonstrates the efficiency of bismuth ferrite/Cr2C MXene binary composite as a highly efficient electrocatalyst for hydrogen evolution reaction in alkaline media. The methodology for preparing O2C MXene is by etching the O2AIC MAX phase with hydrofluoric acid for 30 min at room temperature. Cr2C MXene and bismuth ferrite nanoparticles are mixed under solvothermal conditions to obtain the bismuth ferrite/Cr2C-MXene binary composite. -
Bivariate iterated FarlieGumbelMorgenstern stressstrength reliability model for Rayleigh margins: Properties and estimation
In this paper, we propose bivariate iterated FarlieGumbelMorgenstern (FGM) due to[Huang and Kotz (1984). Correlation structure in iterated Farlie-Gumbel-Morgenstern distributions. Biometrika 71(3), 633636. https://doi.org/10.2307/2336577] with Rayleigh marginals. The dependence stressstrength reliability function is derived with its important reliability characteristics. Estimates of dependence reliability parameters are obtained. We analyse the effects of dependence parameters on the reliability function. We found that the upper bound of the positive correlation coefficient is attaining to 0.41 under a single iteration with Rayleigh marginals. A comprehensive comparison between classical FGM with iterated FGM copulas is graphically examined to assess the over or under estimation of reliability with respect to ? and ?. We propose a two-phase estimation procedure for estimating the reliability parameters. A Monte-Carlo simulation study is conducted to assess the finite sample behaviour of the proposed reliability estimators. Finally, the proposed estimators are examined and validated with real data sets. 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. -
Blackberry gel-assisted combustion modified MgO: Sm3+ nanoparticles for photocatalytic, battery, sensor and antibacterial applications
Green synthetic methods are currently preferred in industry over other physicochemical methods. Herein, we present a facile, environmentally friendly, non-toxic approach for the fabrication of MgO using jamun fruit extract. The phytochemicals present in the fruit extract, such as kaemferol, glucoside, anthocyanins, ellagic acid, myricetin, and isoquercetin, facilitate the bio-reduction of Mg(NO3)2. Pure and Sm3+ (17 mol %) doped MgO nanomaterials were synthesized using this bio-mediated synthetic method. The structural and morphological properties of the synthesized nanomaterials were studied using Powder X-ray diffraction (PXRD), Field Emission Scanning Electron Microscopy (FE-SEM), Energy Dispersive Spectroscopy (EDS), and Diffused Reflectance Spectroscopy (DRS) techniques. The effect of Sm3+ ions on the host matrix for the photo-catalytic oxidation of Fast Orange-Red (FOR) dye was investigated under UV light irradiation. MgO: Sm3+(3 mol %) exhibited superior (94 %) degradation of the dye compared to pristine and other doped catalysts, attributed to the maximum migration of charge carriers at the catalyst's surface. Additionally, the 3 mol % Sm3+ doped MgO electrode demonstrated a smaller charge transfer resistance, indicating superior capacitive properties compared to pristine and other doped electrodes. The synthesized materials also exhibited effective bacterial activity against pathogens. This research demonstrates the potential of the synthesized nanomaterials for environmental pollution purification, as well as their utility as electrode materials for supercapacitors, batteries, sensors, and antibacterial applications. 2024 The Author(s) -
Blast resistance of steel plate shear walls designed for seismic loading
Since a blast loading or explosion can create nonlinear wave action and impact pressure on a structure, it necessary to construct a structure to resist blast loading as like other loads. In this study the nonlinear behaviour of a blast loading is simulated by calculating the pressure diagram with respect to time under the guidance of IS 4991-1968, code for "Criteria for Blast Resistant Design of Structures for Explosions above Ground". The study carried out for different charge weight (100kg TNT, 200kg TNT and 400kg TNT) and standoff distances of 20metre. Nonlinear behaviour of a Blast loading to steel structures with shear plates of thickness 6 mm, 8 mm and 10 mm are modelled in ETABS and the analysis is carried out to obtain base shear, story displacement, story deformation pattern, column forces, etc. Published under licence by IOP Publishing Ltd. -
Blended Learning and Its Impact on Cognition and Emotion
A lot of research has been conducted to improvise learning by means of smart incorporation of technology and multimedia. There exists a complex relationship between cognition and emotions; technology is used to elicit emotional responses to create an emotional state which people learn best. Given the increasing attention to the important relationship between learning and emotions, this chapter is about blended learning and the emotion experienced by the students. The blended learning model focuses on the learners freedom in the way that they learn and engross in their education. The cognitive goals are the achieved by maintaining learners interest throughout the course. This chapter also explores the intrinsic differences, such as individual characteristics and contextual motivational factors which influence learning. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020, Corrected Publication 2020. -
Blending of Knowledge Management with Industry 4.0: A New Formula for Success!
The convergence of Industry 4.0 and knowledge management presents a transformative opportunity for organizations seeking enhanced efficiency and sustainable growth. In the context of organizational processes, the amalgamation of technological advancements and effective knowledge management practices can lead to a reduction in costs and an overall improvement in operational efficiency. Understanding the intricacies of knowledge management procedures is crucial, encompassing the production, transfer, acquisition, storage, and utilization of knowledge resources across the organizational spectrum. The advent of the fourth industrial revolution, commonly referred to as Industry 4.0, has significantly reshaped traditional knowledge management systems. Industry 4.0 introduces the interconnectivity of machines and their autonomous capacity to learn and share data. While both knowledge management and Industry 4.0 offer distinct benefits individually, a strategic approach that combines the strengths of both can unlock new opportunities for efficient business growth and success in the external environment. This article delves into the symbiotic relationship between Industry 4.0 and knowledge management, emphasizing their combined potential. Industry 4.0 generates vast volumes of data, and by leveraging knowledge management, organizations can derive valuable insights to inform decision-making processes. Historical data and best practices, accessible through knowledge management, contribute to process optimization. Integration with Industry 4.0 technologies, such as automation and the Internet of Things, further enhances process efficiency. The marriage of knowledge management and Industry 4.0 extends beyond process optimization to workforce development. Recognizing employees as the building blocks of an organization, this integration enables better management by upgrading knowledge and skills. Consequently, it enhances the overall productivity of the workforce, contributing to organizational success. In the dynamic landscape of globalization, technology, and competition, this chapter serves as a guide for organizations aiming to harness the collective power of knowledge management and Industry 4.0. By exploring their complementary benefits, it seeks to facilitate the informed utilization of these tools for the betterment and sustainability of businesses in the contemporary world. 2024 Scrivener Publishing LLC. -
Blending the old with the new through technology- sanskrit and e-learning /
Internation Journal Of English Language, Vol.5(10), pp.57-64.