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Corchorus olitorius L.
(Springer, Cham, 2026) Manvi, Mohammad Irfan Khan , Badruddeen
Corchorus olitorius L. (Nalta or Tossa jute), a member of the family Malvaceae (formerly Tiliaceae), is an economically and medicinally significant plant cultivated widely across tropical and subtropical regions. Traditionally known as the “Golden Fibre” crop for its strong, lustrous stem fibres, it is a primary source of jute along with C. capsularis. Beyond its industrial role, C. olitorius holds nutritional and therapeutic importance. Its leaves, commonly consumed as a vegetable in Africa, Asia, and the Middle East, are rich in vitamins, minerals, proteins, dietary fibre, and bioactive flavonoids, phenolics, terpenes, alkaloids, glycosides, and saponins. These phytoconstituents contribute to its antioxidant, anti-inflammatory, antimicrobial, anticancer, hepatoprotective, cardioprotective, antidiabetic, anti-obesity, anti-ulcer, neuroprotective, and wound-healing properties. Modern pharmacological studies have validated many of these uses, highlighting activities such as free radical scavenging, enzyme inhibition, anticancer effects, and metabolic regulation. The low toxicity and biocompatibility of its extracts also suggest potential applications in nutraceuticals and pharmaceutical formulations, including liposomes, nanoparticles, and herbal therapeutics. Thus, C. olitorius represents a multipurpose plant of global significance, bridging traditional medicine, modern pharmacology, nutrition, and industry.
Magnetic Nanocomposites and Their Applications in the Removal of Toxic Contaminants from Wastewater
(Springer, Singapore, 2026) Naseem Ahmad, Saimah Khan, Sanjana Yadav, Umme Salma, Nafish Fatima, Kashif Raees, Mohammad Shahadat, Nafees Ahmad
The growing presence of water contaminants, such as organic pollutants and heavy metals, poses substantial environmental, and public health risks due to their toxicity and carcinogenic nature. Magnetic nanocomposites have emerged as effective materials for wastewater treatment, offering advantages like high surface area, magnetic responsiveness, and versatile functionalization capabilities. This chapter explores the synthesis techniques, such as co-precipitation, sol–gel, and green synthesis approaches, emphasizing their role in tailoring nanocomposites for enhanced performance and applications of magnetic nanocomposites in removing toxic contaminants from wastewater. Adsorption, photocatalytic degradation, and ion-exchange mechanisms are also highlighted in this chapter mentioning their effectiveness in removing toxic contaminants. Furthermore, it addresses the challenges associated with their practical application, including material stability, reusability, and potential environmental risks.
Nanomaterials for the Removal of Dyes from Wastewater
(Springer, Singapore, 2026) Arshad Iqbal, Naseem Ahmad, Iqbal Azad, Mohsin Vahid Khan, Mohammad Shahadat, Mohd Arshad, Nafees Ahmad
Dyes are frequently used to color objects in industries such as textiles, tanning, leather, cosmetics, and many more. These industries release huge amounts of wastewater that pose a risk to the environment and human well-being. Therefore, dye removal from contaminated water has received significant attention. For this purpose, adsorption and photocatalysis have been proven to be efficient and cost effective for removing dyes than the conventional biological, chemical, and physical processes. The utilization of nanomaterials through a combination of photocatalytic and adsorption has emerged to be an efficient method. The present chapter provides a comprehensive out-looks of dye removal treatment including their classification, toxicity, and dye elimination methods with especial focus on nanomaterials. Based on the reported date, it is established that nanomaterials have demonstrated significant dye removal potential to treat industrial wastewater.
A Review on The Use of Robotics in Integrated Waste Management Through Artificial Intelligence & Machine Learning
(International Society of Waste Management, Air and Water (ISWMAW), 2025, 2025) Mohammad Usama
The development of artificial intelligence and machine learning is playing an important role in different aspects of urban lifestyle. It is now playing a significant role in ensuring sanitation and health in cities through the use of AI-powered robots in integrated waste management. AI-powered robots use artificial intelligence and machine learning in waste management, like they use it in automated waste sorting, collection of wastes, trash compaction, remote surveillance, under water clean up and waste to energy facilities. The benefits of bringing automation and robotics in waste management are many like robots can precisely sort and handle wastes. Robots are supported with high resolution cameras, sensors and they use artificial intelligence in identifying and sorting diverse types of wastes like plastics, paper, metal etc. from mixed streams. It is very effective in reducing occupational health concerns like injuries to workers from hazardous wastes. Waste collection and transportation have been transformed entirely through the use of robotics, as it involves using autonomous vehicles having robotic arms for waste collection and optimizing the routes. The volume of trash in bins is reduced as robotic systems can compact waste. Floating debris can be also removed from water bodies by robots. Waste disposal sites can be managed effectively through surveillance robots and drones having cameras and sensors. Waste Disposal in landfills gets reduced by automation as recycling rate of wastes increase and natural resources are also conserved through effective recovery of materials. Automation brings cost reduction in waste management, as it lowers the cost of labor and also helps in achieving environmental sustainability through efficient resource management. AI supported sorting of wastes provides flexibility and adaptability as they can identify new materials and can also adapt to varying waste streams. This is not possible in manual sorting of wastes. Somme of the successful case studies regarding use of robotics in waste management are Zen Robotics (Finland), AMP Robotics (USA), Prairie Robotics, Waste Robotics and Recycleye
A Review on the Use of Artificial Intelligence for the Development of a Smart City through Integrated Waste Management system and Circular Economy
(International Society of Waste Management, Air and Water (ISWMAW), 2025, 2025) Mohammad Usama
Smart City development with circular economy requires an integrated waste management system and can be ensured through the use of smart technologies like integrating the city waste management facilities through IoT and artificial intelligence. This is done through use of real time bin monitoring by smart sensors, using artificial intelligence-based route optimization for waste collecting trucks, use artificial intelligence in various aspects of waste management like segregation of wet, dry and hazardous waste at source, composting, recycling, waste to energy facilities and using predictive analytics for optimum resource and infrastructure planning. The objective of smart city with integrated waste management is to use holistic approach in reducing the volume of waste, increase resource recovery, and bring overall improvement in sustainability. Successful case studies from around the World like San Francisco and Los Angeles from USA; Singapore; Msheireb Downtown from Doha, Qatar; Barcelona from Spain and Indore from India were discussed to emphasis on the role of integrated waste management in making cities smart and sustainable. Life cycle assessment must be carried out for every product and services provided, so that the assessment of environmental impacts of the products and services can be done. Circular economy provides solutions for these environmental impacts.