Reducing the Environmental Impact of Leather Production and Assessing the Potential of Cactus-Based Vegan Leather
Journal Title: International Journal of Innovations in Science and Technology - Year 2025, Vol 7, Issue 5
Abstract
Global warming and the environmental and health risks linked to animal-based leather products have increased the demand for sustainable alternatives. Vegan leather has gained attention as a promising solution to these issues, encouraging eco-friendly fashion. To reduce its environmental impact, the leather industry is shifting from animal-derived to plant-based materials. Traditional leather production involves slaughtering over a billion cattle each year, releasing harmful substances like chromium and lead that pollute water sources and threaten public health. This study explores the potential of cactus-based vegan leather as an ecofriendly substitute for conventional leather. The process involved harvesting mature cactus pads, drying them in the sun, and transforming them into a sturdy material that mimics the properties of real leather. Mechanical tests showed that cactus leather offers similar durability, flexibility, and aesthetic appeal to traditional leather. The results emphasize the environmental, economic, and functional advantages of cactus leather, positioning it as a scalable alternative to reduce the negative ecological effects of animal-based leather production.
Authors and Affiliations
Sumaira Tariq, Malaika Moazzam, Asad Ali, Muhammad Saleem Khan, Muhammad FaheemUllah, Yaseen Mughal, Muhammad Hasan, Khurram Shahzad Ayub
Adapting Transfer Learning for Accurate ECG-Based Heart Disease Classification
ECG signals are widely used for analyzing heart rhythms and detecting abnormalities. This study presents an experimental evaluation of a Deep CNN model for classifying ECG scalograms. Using publicly available datasets...
Realistic Face Super-Resolution via Generative Adversarial Networks: Enhancing Facial Recognition in Real-world Scenarios
The accuracy of real-world facial recognition operations faces challenges because of the difficulties connected to Low-Resolution image quality. Thisindicates that super-resolution methods play a vital role ini...
A Novel Guard Zone Based Multiple Access Protocol for Autonomous D2D Cellular Communication
In today's interconnected and digitally driven era, Device-to-Device (D2D) communication has emerged as a transformative paradigm, enabling direct and efficient interactions between nearby devices with or without tradi...
AI-Driven Control and Processing System for Smart Homes with Solar Energy
In recent years, the utilization of solar energy has grabbed attention in the industrial and domestic zones. The existing systems to use the services of solar cells are conventional. These systems require parameters (...
Deep Learning-Based Automated Classroom Slide Extraction
Automated extraction of valuable content from real-time classroom lectures holds significant potential for enhancing educational accessibility and efficiency. However, capturing the spontaneous insights of live lecture...