Amylases are enzymes that have gained significant popularity in textile processing due to their eco-friendly and efficient properties. Digitalization can enhance enzyme applications by improving efficiency, reducing production costs, and addressing chemical compatibility issues. Various digital technologies such as sensor technology, artificial intelligence, machine learning, big data analytics, and cloud computing are explored for their potential to enhance amylase performance. Amylase applications in textile processing include desizing, biopolishing, bioscouring, and bleaching. Strategies for enhancing amylase performance and overcoming these challenges through digitalization have been explained in this chapter. Challenges and limitations associated with amylase stability, production costs, and chemical compatibility are addressed in the subsequent section. The importance of consumer education on enzyme applications is emphasized, highlighting its role in increasing awareness, understanding, and acceptance of enzyme-based textile processes. Methods for educating consumers and the potential impacts of consumer education on enzyme applications are discussed. Finally, the chapter concludes with future directions and recommendations for further research in amylase applications. Trends and prospects in amylase applications are explored, and suggestions are provided for future research to optimize their effectiveness in the textile industry. Overall, this chapter provides a comprehensive overview of the applications of amylases in textile processing and highlights the potential of digitalization in enhancing their performance. It serves as a valuable resource for researchers, engineers, and industry professionals interested in sustainable and efficient textile processing methods.

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Sustaining Amylase Applications Through Digitalization in the Textile Economy

  • B. A. Hadi

摘要

Amylases are enzymes that have gained significant popularity in textile processing due to their eco-friendly and efficient properties. Digitalization can enhance enzyme applications by improving efficiency, reducing production costs, and addressing chemical compatibility issues. Various digital technologies such as sensor technology, artificial intelligence, machine learning, big data analytics, and cloud computing are explored for their potential to enhance amylase performance. Amylase applications in textile processing include desizing, biopolishing, bioscouring, and bleaching. Strategies for enhancing amylase performance and overcoming these challenges through digitalization have been explained in this chapter. Challenges and limitations associated with amylase stability, production costs, and chemical compatibility are addressed in the subsequent section. The importance of consumer education on enzyme applications is emphasized, highlighting its role in increasing awareness, understanding, and acceptance of enzyme-based textile processes. Methods for educating consumers and the potential impacts of consumer education on enzyme applications are discussed. Finally, the chapter concludes with future directions and recommendations for further research in amylase applications. Trends and prospects in amylase applications are explored, and suggestions are provided for future research to optimize their effectiveness in the textile industry. Overall, this chapter provides a comprehensive overview of the applications of amylases in textile processing and highlights the potential of digitalization in enhancing their performance. It serves as a valuable resource for researchers, engineers, and industry professionals interested in sustainable and efficient textile processing methods.