c) 2022-Scopus Open Access (PDF)

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    MAGNETITE FE3O4 NANO-OXIDE FROM AQUEOUS LEAF EXTRACT OF COCCINIA GRANDIS (L.) VOIGT: SYNTHESIS, CHARACTERIZATION, MAGNETIC STUDIES AND ANTI-CANCER EVALUATION
    (Indian Journal of Pharmaceutical Education and Research, 2022-09) Suyambulingam, Jone Kirubavathy; Natarajan, Arunadevi; Ponnusamy, Pavithra; Panneer, Selvan Pavithra; Dharmalingam, Pavithra; Murugaiyan, Pavithra
    To synthesize and investigate the anticancer activities of the metal nanoparticles derived from the ethanolic solution of the Coccinia grandis (L.) Voigt leaves. Background: Coccinia grandis (Ivy gourd) belongs to the Cucurbitaceae family is known for its own significance especially in conventional medicines, including Indian Ayurveda. Materials and Methods: The title iron oxide nanoparticles from Coccinia grandis leaf extract has been synthesized as reported in the literature and characterized using spectroscopic techniques like FT-IR, GC-MS, VSM, SEM and EDAX. Pharmacological evaluation like in-vitro anti-cancer activity has been done using MTT assay. Discussion and Conclusion: The powder XRD pattern of the synthesized Fe3O4-NPs showed its high purity crystalline nature and also proved it to be approximately cubic in structure. By comparing the powder XRD patterns and the standard JCPDS database (file no: 01-089-3850), the obtained Fe3O4 nanoparticles were found to be Fe3O4, and not γ-Fe2O3 (maghemite). The SEM images of the nanoparticle showed their cubic nature and their magnetic studies were carried out using VSM data. The anticancer activities of the magnetite nanoparticles have been evaluated by using in vitro assays and found to be 35.83μM and were compared to standard anticancer drugs such as cisplatin, Doxorubicin.
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    DESIGN AND SYNERGISTIC EFFECT OF NANO-SIZED EPOXY-NICO2O4 NANOCOMPOSITES FOR ANTICORROSION APPLICATIONS
    (Royal Society of Chemistry, 2022-05-17) Swathika, M; Kshitij RB, Singh; Mehala, M; Sadanand, Pandey; Jay, Singh; Ravindra, Pratap Singh; Arunadevi, Natarajan
    In the present work, we evaluated the corrosion inhibition properties of a ligand and mixed metal oxide nanocomposite. The ligand and mixed nickel–cobalt complex were synthesized using 1-naphthoic acid and aminoguanidine with the formulae [C11H7O2(CN4H5)(CN4H6)]·H2O and {Ni–Co[(CH5N4)2(C11H7O2)2]}·H2O, respectively. After their synthesis, physicochemical techniques such as CHNS analysis, infrared and UV-visible spectroscopy, thermal analysis, and X-ray diffraction (XRD) were employed to characterize both the synthesized ligand and nickel–cobalt complex. The metal oxide prepared from the decomposition of the metal complex was also characterized using several techniques to confirm its bonding and structure. In addition, the corrosion inhibition efficiency of the epoxy-ligand and epoxy-NiCo2O4 nanocomposite on mild steel (MS) in 3 M hydrochloric acid (HCl), 1.5 M sulfuric acid (H2SO4), and 0.5 M phosphoric acid (H3PO4) solution was examined and compared using weight loss measurements, Tafel plots, isotherms and electrochemical impedance spectroscopy (EIS). The results from the electrochemical studies disclosed that the epoxy coating of mixed metal oxides with 0.8 ppm concentration yielded excellent corrosion protection. The SEM images of mild steel and mild steel coated with epoxy-ligand/epoxy-NiCo2O4 in HCl confirmed the anti-corrosive behavior of the synthesized compounds. Hence, the as-prepared material can be a next-generation tool for sustainable anti-corrosive coatings.
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    FINITE-TIME STABILITY RESULTS FOR FRACTIONAL DAMPEDDYNAMICAL SYSTEMS WITH TIME DELAYS
    (Vilnius University Press, 2022-01-06) Ganesan, Arthi; Nallasamy, Brindha; Dumitru, Baleanu
    This paper is explored with the stability procedure for linear nonautonomous multitermfractional damped systems involving time delay. Finite-time stability (FTS) criteria have beendeveloped based on the extended form of Gronwall inequality. Also, the result is deduced to a linearautonomous case. Two examples of applications of stability analysis in numerical formulation aredescribed showing the expertise of theoretical prediction.
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    AUXIN-GLUCOSE CONJUGATION PROTECTS THE RICE (ORYZA SATIVA L.) SEEDLINGS AGAINST HYDROXYUREA-INDUCED PHYTOTOXICITY BY ACTIVATING UDP-GLUCOSYLTRANSFERASE ENZYME
    (Frontiers in Plant Science, 2022-02-16) Vimalraj, Kantharaj; Nirmal Kumar, Ramasamy; Young-Eun, Yoon; Mi Sun, Cheong; Young-Nam, Kim; Keum-Ah, Lee; Vikranth, Kumar; Hyeonji, Choe; Song Yeob, Kim; Hadjer, Chohra; Yong Bok, Lee
    Hydroxyurea (HU) is the replication stress known to carry out cell cycle arrest by inhibiting ribonucleotide reductase (RNR) enzyme upon generating excess hydrogen peroxide (H2O2) in plants. Phytohormones undergo synergistic and antagonistic interactions with reactive oxygen species (ROS) and redox signaling to protect plants against biotic and abiotic stress. Therefore, in this study, we investigated the protective role of Indole-3-acetic acid (IAA) in mitigating HU-induced toxicity in rice seedlings. The results showed that IAA augmentation improved the growth of the seedlings and biomass production by maintaining photosynthesis metabolism under HU stress. This was associated with reduced H2O2 and malondialdehyde (MDA) contents and improved antioxidant enzyme [superoxide dismutase (SOD), ascorbate peroxidase (APX), catalase (CAT), and peroxidase (POD)] activity that was significantly affected under HU stress. Furthermore, we showed that the HU stress-induced DNA damage leads to the activation of uridine 5′-diphosphate-glucosyltransferase (UGT), which mediates auxin homeostasis by catalyzing IAA-glucose conjugation in rice. This IAA-glucose conjugation upregulates the RNR, transcription factor 2 (E2F2), cyclin-dependent kinase (CDK), and cyclin (CYC) genes that are vital for DNA replication and cell division. As a result, perturbed IAA homeostasis significantly enhanced the key phytohormones, such as abscisic acid (ABA), salicylic acid (SA), cytokinin (CTK), and gibberellic acid (GA), that alter plant architecture by improving growth and development. Collectively, our results contribute to a better understanding of the physiological and molecular mechanisms underpinning improved growth following the HU + IAA combination, activated by phytohormone and ROS crosstalk upon hormone conjugation via UGT.
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    TYPE DESIGNATION OF FIVE LINDLEY’S NAMES IN THE GENUS HABENARIA (ORCHIDACEAE)
    (Horizon e- publishing Group, 2022-04-22) Sulaiman, M; Kiruthika, K
    The present study highlights the type designation on 5 species of the genus HabenariaWilld
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    RIVER WATER QUALITY PREDICTION AND INDEX CLASSIFICATION USING MACHINE LEARNING
    (IOP Science, 2022) Jitha P, Nair; Vijaya, M S
    Various pollutants have had a substantial impact on the quality of water in recent years. The quality of water directly impacts human health and the environment. The water quality index (WQI) is an indicator of effective water management. Water quality modelling and prediction have become essential in the fight against water pollution. The research aims to build an efficient prediction model for river water quality and to categorize the index value according to the water quality standards. The data has been collected from eleven sampling stations located in various locations across the Bhavani River, which flows through Kerala and Tamilnadu. The water quality index is determined by 27different parameters affecting water quality like dissolved oxygen, temperature, pH, alkalinity, hardness, chloride, coliform, etc. Data normalization and feature selection are done to construct the dataset to develop machine learning models. Machine learning algorithms such as linear regression, MLP regressor, support vector regressor and random forest has been employed to build a water quality prediction model. Support vector machines (SVM), naïve bayes, decision trees, MLP classifiers, have been used to develop a classification model for classifying water quality index. The experimental results revealed that the MLP regressor efficiently predicts the water Quality index with root mean squared error as 2.432, MLP classifier classifies the water quality index with 81% accuracy. The developed models show promising output concerning water quality index prediction and classification.
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    VALORIZATION OF HAZARDOUSMATERIALS ALONG WITH BIOMASS FOR GREEN ENERGY GENERATION AND ENVIRONMENTAL SUSTAINABILITY THROUGH PYROLYSIS
    (Hindawi, 2022-08-25) Sarika, Chhabria; Raghavendra Rao, A V; Naga Lakshmi, V; Pravin P, Patil; Harishchander, Anandaram; Sumanta, Bhattacharya; Francisca Kalavathi, D; Dhivya, A; Solomon, Neway Jida
    Increased population growth, industrialization, and modern culture create a variety of consequences, including environmental pollution, heavy metal accumulation, and decreasing energy resources. This perilous position necessitates the development of long-term energy resources and strategies to address environmental threats and power shortages. In this study, an investigation into the use of castor seed oil cake and waste tyres as a feed material for the copyrolysis process for yielding maximum oil production was performed. The copyrolysis experiments were performed by changing the mass percentage of waste tyres with oil cake to make different ratios of 100 : 0, 75 : 25, 50 : 50, 25 : 75, and 0 : 100. At 50 : 50 ratio, the maximum positive synergy on oil production was obtained. At that condition, a maximum of 59.8 wt% oil was produced and characterized to analyze its physiochemical properties. The coprocessing of the selected two feed materials enables the stabilization of the oil, as the produced oil has a lower oxygen content with a maximum heating value of 38.72 MJ/kg. The Fourier transform infrared spectroscopy (FTIR) and gas chromatography-mass spectrometry (GC-MS) analysis of the oil showed the existence of aromatic hydrocarbons and phenolic elements. Adding waste tyres to the biomass improved the quality of the oil by increasing carbon content with reduced oxygen content.
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    GRAPHENE OXIDE INTEGRATED INTO PROTECTIVE COATINGS AGAINST CORROSION FOR METALS AND ITS ALLOYS: A REVIEW
    (International Journal of Corrosion and Scale Inhibition, 2022-04-02) Priyanka D; Vinuchakravarthi S; Nalini D; Quraishi M.A; Chauhan D S
    This review aims to discuss the effect of graphene oxide (GO) derivatives incorporated protective coatings on various metals against corrosion process in alkaline environments. These coatings increased hydrophobic character and adhesion strength between the coating and metal surface. Electrochemical measurements were used more often among all other techniques to investigate the effect of inhibitor in the polymer matrix (epoxy/silane sol). In some cases, the highest inhibition efficiency was achieved by electrochemically coating GO derivatives on the metal surface. GO derivatives prepared via the adsorption of Pr3+, Ce3+ , and Zn2+ ions have revealed a good inhibition tendency for metals in acidic solution because of the exchange of Pr3+, Ce3+, and Zn2+ with those ions (Na+ , Cl– ) in the corrosion electrolyte. Further, because of the adsorption of polar groups on GO onto the surface of metals, the hydrophobicity achieved by modified GO coating limits the infiltration of corrosive ions and enhances inhibitory efficiency. And, scratches were foreseen during the manufacturing of coatings on metallic substrates, and this harms the organic coatings. The defect created by impurities developed coatings deterioration that was prone to the diffusion of corrosive substances, severely reducing the coatings’ lifespan. Grafting graphene oxide with various functional groups was used to achieve self-healing behavior in organic coatings. At the defective site of the metallic substrates, self-healing by functionalized graphene oxide created dense protective coatings.
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    INSILICO AND PHARMACOLOGICAL PROPERTY ANALYSIS OF BIOACTIVE COMPONENTS FROM PRUNUS AVIUM AGAINST DIABETICS
    (Informatics Publishing Limited & Natural Remedies Pvt.Ltd, 2022) Veerapand, L; Nivetha, T; Sinthiya, R; Karunyah Amirthadharshini, N; Bumaasri, K; Aishwarya, R
    people across all cultures globally. Lifelong distress is the cause of this disease which has no cure as of now. Various medications available in the market are too expensive and not easily affordable by all. Rural people rely on plant based Ayurvedic medications to heal diabetes as these contain anti-diabetic compounds. These phytoconstituents/anthocyanin derivatives work with several mechanisms that involve phytoconstituent interactions and target molecules in diabetic metabolism. Molecular docking analysis aids in finding out the interaction between receptors and ligands to identify the finest interaction which suits the target. In this case, the study proposed examining the bonding interactions of anti-diabetic compounds/anthocyanin derivatives derived from medicinal plants (Pelargonidin, Cyanidin, Delphinidin, Peonidin, Petunidin, Quercetin and pancreatic alpha-amylase (4X9Y)) with the help of the computational tool. ADME/T test helps decide different pharmacological and physicochemical analysis of lead atoms, degree of adsorption inside the cell, digestion rate, solvency, blood cerebrum boundary penetrability, cancer-causing nature and so on, which are the significant essentials prior to advertising a medication. Peonidin and Quercetin was proposing the best interactions. Nonetheless, to discover a better cure for diabetes, further in-vitro/ in vivo studies have to be carried out.
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    PHARMAKINETICS STUDIES, MOLECULAR DOCKING AND DISCOVERY OF ANTI- PROLIFERATIVE AGENTS AND ITS TARGETING EGFR INHIBITORS
    (Elsevier, 2022-01) Palanisamy, Prakash; Archana, G; Ekambaram, Gayathiri; Vimalraj, Mani; Rengarajan, Manivasagaperumal; Balamurugan, Vinoth; Karlapudi, Abraham Peele; Kuppusamy, Selvam; Anand, Thirupathi; Hissah, Abdulrahman Alodaini; Munirah, Abdullah Al-Dosary; Ashraf, Atef Hatamleh; Soon Woong, Chang; Balasubramani, Ravindran
    Abutilon indicum is a medicinal plant belonging to the Malvaceae family. The current study has been developed to detect Abutilon indicum bio-activity to produce an adequate drug design for cancer.