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                <text>Mayegowda, Shilpa Borehalli; Yashwant, M.; Sarma, Gitartha; Reddy, Nagachandra; Manjula, N.G.</text>
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                <text>Production of Biochar from Algal Biomass and Their Applications</text>
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                <text>Biochar Production Engineering: Innovative Technology for Environmental Decontamination;pp.85-103</text>
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                <text>Mayegowda S.B., Department of Psychology, CHRIST University, Karnataka, Bengaluru, India; Yashwant M., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Sarma G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Reddy N., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India</text>
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                <text>Algal biomass represents one of the most promising targets as a source of biofuel production, bioenergy, as sustainable feedstock and other valuable products. Algal biomass with its physicochemical properties and potential use has gained immense interest presently for converting it into biochar. Algal biochar synthesis has been done using conventional methods like pyrolysis, slow, and microwave-assisted methods along with modern ones like hydrothermal carbonization and torrefaction. Algal biochar has been variedly derived from the macroalga from fresh, brackish, and marine waters. This algal biochar has been extracted for maximum nutrient contents and capacity to exchange ions, as it is high in pH, ash, nitrogen sources, and inorganic components like phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg). Biochar has been produced from fresh water macroalga Cladophora glomerata, as a biosorbent of heavy metals that have high toxicity. Other algal biochars include Chlorella vulgaris, Dunaliella salina, Haematococcus pluvialis, Gracilaria, and Oedogoniumsps has high affinity toward oxyanions like arsenic, molybdenum, and selenium that are difficult to be removed using conventional techniques. Algal biochar is a boon for amending soil for agricultural purposes especially applicable to acidic soils increasing the crop productivity and as absorbents for removing organic and inorganic contaminants in waste water treatment.  2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Mayegowda S.B., Department of Psychology, CHRIST University, Kengeri Campus Mysore Road Kumbalgodu, Kanmanike, Karnataka, Bengaluru, 560074, India; Kulkarni A.P., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560111, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, 560111, India; Brijesh H., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bangalore, India</text>
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                <text>Heavy-metal-induced contamination has been one of the major pollutants, and currently being one of the most serious concerns for its ill effects on the environment, and toxicity towards humans and plants. Being persistent in the milieu for decades, these heavy metals can also seep into underground waters polluting the soil and aquifers. Contaminated water causes the physiochemical and biochemical changes affecting the plant growth and yield. Additionally, it also has a major concern with the human health effects. Hence, it is very important to find ways to remove these heavy metals efficiently from water. In recent years, different ways of remediating heavy metals from waste water have been undertaken. Biochar, a carbon-rich source is derived from the decomposition of organic wastes that has been competent adsorbent for the heavy metal from water thus, helping as an effective treatment option. An adsorbent for heavy metals, biochar has porous structure, pH value, surface function and high cation exchange. Several methods have been used to synthesise biochar with a significant physiochemical property and have been used for various chemical applications. Being an exceptional heavy metal adsorbent, biochar is also ecofriendly, least expensive and effective treatment that has a greater potential in the near future as a best option for wastewater treatment.  2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Biochar Production Engineering: Innovative Technology for Environmental Decontamination;pp.267-281</text>
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                <text>Brijesh H., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bengaluru, India; Bheemappa M., Department of Biotechnology, School of Applied Sciences, REVA University, Karnataka, Bengaluru, India; Mayegowda S.B., Department of Psychology, CHRIST University, Kengeri Campus, Kumbalgodu, Kanmanike, Karnataka, Bengaluru, India; Manjula N.G., Department of Microbiology, School of Basic and Applied Sciences (SBAS), Dayananda Sagar University, Karnataka, Bengaluru, India; Ajjappala B., Department of Plant Biotechnology, University of Agricultural Sciences, GKVK, Karnataka, Bengaluru, India</text>
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                <text>The distribution of polycyclic aromatic hydrocarbons (PAHs) around the world is influenced by anthropogenic, natural, and global transport activities. They are pervasive environmental contaminants that are toxic, mutagenic, carcinogenic, and have negative biological effects. PAH molecules stability and hydrophobicity are the two main factors that influence their long-term persistence in the environment. PAHs contamination of soil, water and sediments has been widely dissipated for years, necessitating effective remediation processes through research and development to achieve impactful treatment and reuse of soil, water and sediments. The biochar amendment to PAHs contaminated soil, water and sediments has been suggested as an inventive and environmentally friendly technology. The primary method of removing PAHs involves sorption onto biochar. In this chapter, types and effects of PAHs exposure on humans the mechanisms of PAH sorption to the biochar, effects of adding biochar to soil, water and sediments that have PAH contamination are thoroughly discussed.  2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Nanotechnology has great potential for developing nano-enabled equipment and products in a variety of industries, including personal care, medical, food, and agriculture. Despite the increasing use of metal nanoparticles in various domains, concerns concerning biological and environmental safety during manufacture remain. Traditional commercial methods for generating nanoparticles often entail chemical procedures and high-energy physical approaches that are both environmentally damaging and expensive. As an alternative, green synthesis employing plants has arisen, which reduces the requirement for toxic chemicals and severe reaction conditions in nanoparticle synthesis. The utilization of mangrove plants for nanoparticle synthesis has recently gained popularity due to their abundance of unique phytochemicals that aid in nanoparticle synthesis. Microorganisms in mangroves and enzymatic activities in plants can be utilized for a range of biotechnological and environmental uses. Bioactive compounds from mangrove resources show potential for creating bionanomaterials that can be utilized in environmental and biomedical fields. Bionanomaterials created from mangroves are incredibly effective in medical uses and cleaning up the environment. Bionanomaterials are produced by utilizing mangrove and various biomolecules obtained from mangrove plants as substances for the creation of nanoparticles. Bionanomaterials made from biomolecules offer benefits for the sustainable use of mangroves because of their large surface area, biocompatibility, and minimal toxicity. Here focuses on the potential of mangroves as a natural resource for producing bionanomaterials in various applications, promoting an eco-friendly approach. This chapter investigates various types of mangrove species and their elements utilized in creating nanoparticles, as well as the applications of the nanoparticles in therapy, agriculture, and industry. It also investigates the obstacles hindering the extensive utilization of plant-based nanoparticle synthesis.  Springer Nature Switzerland AG 2026.</text>
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                <text>Abraham J.S., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India; Ponmudiraj C., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India; Al-Khayri J.M., Department of Agricultural Biotechnology, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa, Saudi Arabia; Nagella P., Department of Life Sciences, School of Sciences, Christ University, Bengaluru, India</text>
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                <text>Reference Series in Phytochemistry;Volume;Part F870;pp.25-41</text>
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                <text>Murthy H.N., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Yadav G.G., Department of Botany, Karnatak University, Dharwad, India; Paek K.Y., Department of Horticultural Science, Chungbuk National University, Cheongju, South Korea; Park S.Y., Department of Horticultural Science, Chungbuk National University, Cheongju, South Korea</text>
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                <text>Secondary metabolites found in abundance in mangrove plants play a vital role in enabling these plants to withstand challenging environmental circumstances. Over the years, studies on the isolation and characterization of secondary compounds from mangroves have shown that they include a vast number of novel compounds that have not been previously described. Mangrove secondary compounds have been shown to feature unique carbon skeletons, unique ring systems, or peculiar structural moieties. These new substances have also shown a range of biological activity. We reviewed a variety of new compounds in this review, along with their structural variations and biological activity.  Springer Nature Switzerland AG 2026.</text>
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                <text>Reference Series in Phytochemistry;Volume;Part F870;pp.267-295</text>
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                <text>Yadav G.G., Department of Botany, A. D. B. First Grade College, Harapanahalli, India, Department of Botany, Karnatak University, Dharwad, India; Murthy H.N., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India</text>
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                <text>Lumnitzera racemosa Willd. is a mangrove plant with a broad distribution, spanning from the coastal regions of East Africa to Southeast Asia, New Guinea, and Australia. Various parts of this plant have been traditionally used to treat a wide range of ailments, including infertility, asthma, diabetes, snake bites, and skin conditions, such as herpes, pruritus, scabies, sores, leprosy, and thrush. The therapeutic properties of L. racemosa are believed to be due to its diverse bioactive compounds, including flavonoids, lignans, phenolics, sulfur-containing compounds, tannins, terpenoids, and glycosides. A literature review has identified 101 distinct compounds isolated from this plant, many of which have demonstrated significant biological activities, such as antimicrobial, antioxidant, antidiabetic, cytotoxic, anti-inflammatory, and antihypertensive effects. In addition to these, extracts from L. racemosa exhibit anti-allergic, anti-angiogenic, anticoagulant, antimalarial, and larvicidal properties. This review highlights the traditional uses of the plant, the bioactive compounds isolated from it, and their pharmacological properties.  Springer Nature Switzerland AG 2026.</text>
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                <text>Reference Series in Phytochemistry;Volume;Part F870;pp.223-249</text>
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                <text>Lamani S., Department of Botany, DVS College of Arts and Science, Shimoga, India, Department of Botany, Karnatak University, Dharwad, India; Murthy H.N., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India</text>
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                <text>Plants have been used for medicines since ancient times as they serve critical needs and are easily accessible. In recent years, various nations have seen a major increase in the use of plant-based treatments, resulting in a significant rise in the global demand for herbal products. This chapter describes Ceriops tagal, a mangrove species with excellent potential for bioactive components and biological activity. The majority of the distinctive secondary metabolites and their analogs reported in this plant are di-, tri-, and tetra-terpenoids (dolabrane, lupane, oleanane, dammarane, and pimarane), phenolics, and steroids from the hypocotyls, roots, and aerial parts. Various studies reported 97 terpenoids and 14 other metabolites. Many biological activities have already been identified from various extracts, including anticancer, antidiabetic, antioxidant, anti-inflammatory, antibacterial, and neurotrophic activities. In this chapter, we explored the biological potential of C. tagal, particularly its anticancer and neuroprotective activities, and it may be valuable for young researchers looking into the potential drug for chemotherapeutic and neurotrophic properties for the treatment and prevention of cancerous and neurological disorders.  Springer Nature Switzerland AG 2026.</text>
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                <text>Murthy H.N., Department of Life Sciences, Christ University, Karnataka, Bengaluru, India; Yadav G.G., Department of Botany, Karnatak University, Dharwad, India; Paek K.Y., Department of Horticultural Science, Chungbuk National University, Cheongju, South Korea; Park S.Y., Department of Horticultural Science, Chungbuk National University, Cheongju, South Korea</text>
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                <text>Padarha S., School of Sciences, CHRIST University, Maharashtra, Lavasa, India; Modi S., School of Sciences, CHRIST University, Maharashtra, Lavasa, India; Lekha J., School of Sciences, CHRIST University, Maharashtra, Lavasa, India</text>
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                <text>Globally, power quality issues incur substantial costs. In the United States, power quality problems contribute to a $150 billion annual cost, covering lost productivity, equipment damage, and safety hazards. Smart intelligence-based methods can potentially cut these costs by up to 50%. In India, power quality disturbances result in a $10 billion annual cost involving equipment damage, productivity losses, and customer dissatisfaction. The adoption of smart intelligence-based power quality methods in India is projected to grow annually by 25% for the next 5years due to increasing grid demands. In todays intricate power landscape, dependable electrical systems are crucial. Power quality disturbances, including voltage variations, harmonics, and flicker, can disrupt sensitive equipment, resulting in financial losses and safety risks. Addressing these challenges, smart intelligence-based methods emerge as promising solutions. This chapter systematically explores the application of artificial intelligence, machine learning, and data analytics for elevated power quality monitoring, assessment, and regulation. Such intelligent approaches optimise power system performance, reduce downtimes, and ensure a consistent supply of high-quality electrical energy. The assimilation of smart intelligence-based methods emerges as a promising avenue to address these challenges effectively. Harnessing the capabilities of these intelligent paradigms empower power systems to attain optimal performance, curtail downtimes, and ensure a steadfast provision of high-grade electrical energy.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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                <text>Maheswari C., Department of Electrical and Electronics Engineering, PSG College of Technology, Tamil Nadu, Coimbatore, India; Shobana V., Department of Computer Science with Cyber Security, Dr. N.G.P. Arts and Science College, Tamil Nadu, Coimbatore, India; Savithri M., Department of Data Science, Christ University, Karnataka, Bengaluru, India</text>
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                <text>The Z-source inverter model is a revolutionary design obtainable in this study for solar power conversion systems that do away with the traditional intermediary DC/DC converter. The competitive pricing of renewable energy bases in the market has drawn a percentage of attention in recent times. Government funding and technological advancements are to blame. Astral photovoltaic system is a created green technology that requires no upkeep, requires less time to install, and has grid parity. Systems for solar PV supply are categorized based on the phases of conversion. In order to maximize the amount of power created by solar energy, the conventional boost converter is utilized as an intermediary power conversion circuit. Voltage source inverters, or VSIs, are frequently employed to provide a controlled AC voltage at the output. However, the inability of VSIs to control current properly results in overcurrent problems during fault conditions. The size, weight, and switching losses of the filter circuit are condensed by the suggested converter. To solve the aforementioned issues, a Z-source inverter (ZSI) is replaced as an alternative of the voltage source inverter (VSI) in variable speed drive systems. One type of single-stage buck-boost inverter is the Z-source inverter. It functions similarly to a conventional VSI in buck mode, with six active vectors, and adds an additional switching state in boost mode, known as the shoot-through state, through utilizing a resistance Z-network. The resistivity network is regarded as an appealing solution for a number of applications since it raises the DC link current to the necessary level. In comparison to the traditional two-stage influence adaptation, the developed Z-source inverter extracts greater power from photovoltaic arrays.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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                <text>Murugesan G., Department of Artificial Intelligence and Machine Learning, Sree Saraswathi Thyagaraja College, Tamil Nadu, Pollachi, India; Radha B., Department of Computer Technology and Data Science, Sri Krishna Arts and Science College, Tamil Nadu, Coimbatore, India; Nithya A.S., Department of Artificial Intelligence and Machine Learning, Sree Saraswathi Thyagaraja College, Tamil Nadu, Pollachi, India; Gunavathi R., Data Science Department, Christ (Deemed to be University), Maharashtra, Pune, India</text>
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                <text>Electricity plays a fundamental and indispensable role in modern society, driving progress, development, and the overall quality of life. Electricity is profoundly ingrained in daily life. It powers homes, providing lighting, heating, cooling, and appliances that support, comfort, and convenience. From cooking meals to powering electronic devices and entertainment systems, electricity is vital for modern living, enhancing our quality of life and enabling various activities. Power forecasting is critical to the effective management and optimization of power generation, consumption, and distribution. Power consumption forecasting has evolved significantly with the introduction of advanced technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT). AI techniques, such as machine learning and deep learning, make use of the massive amounts of data produced by IoT devices like smart meters and energy monitoring devices. These devices continuously gather real-time data on power consumption, weather conditions, grid performance, and other relevant factors. AI algorithms can find patterns and correlations and provide accurate forecasts and important insights for power forecasting by processing and analyzing data. Machine learning algorithms, such as regression models, neural networks, and ensemble approaches, are trained using historical power consumption data and the features that have been chosen. The models discover the underlying patterns and correlations between input features and power consumption. These forecasts can be used for short-term load balancing, energy procurement planning, demand response management, and optimizing energy distribution. AI and IoT power usage projections give valuable data for decision-making and energy optimization techniques. These projections can be used by energy suppliers, grid operators, building managers, and consumers to plan energy usage, distribute resources efficiently, optimize demand response programs, and discover possibilities for energy saving.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.</text>
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