Patil Pravin D, Gargate Niharika, Dongarsane Khushi, Jagtap Hrishikesh, Phirke Ajay N, Tiwari Manishkumar S, Nadar Shamraja S
Department of Basic Science & Humanities, Mukesh Patel School of Technology Management & Engineering, SVKM's NMIMS, Mumbai, Maharashtra 400056, India.
Department of Biotechnology Engineering, Kolhapur Institute of Technology's College of Engineering, Kolhapur 416 234, India.
Int J Biol Macromol. 2024 Nov;281(Pt 1):136193. doi: 10.1016/j.ijbiomac.2024.136193. Epub 2024 Oct 1.
Integrating microfluidic devices and enzymatic processes in biocatalysis is a rapidly advancing field with promising applications. This review explores various facets, including applications, scalability, techno-commercial implications, and environmental consequences. Enzyme-embedded microfluidic devices offer advantages such as compact dimensions, rapid heat transfer, and minimal reagent consumption, especially in pharmaceutical optically pure compound synthesis. Addressing scalability challenges involves strategies for uniform flow distribution and consistent residence time. Incorporation with downstream processing and biocatalytic reactions makes the overall process environmentally friendly. The review navigates challenges related to reaction kinetics, cofactor recycling, and techno-commercial aspects, highlighting cost-effectiveness, safety enhancements, and reduced energy consumption. The potential for automation and commercial-grade infrastructure is discussed, considering initial investments and long-term savings. The incorporation of machine learning in enzyme-embedded microfluidic devices advocates a blend of experimental and in-silico methods for optimization. This comprehensive review examines the advancements and challenges associated with these devices, focusing on their integration with enzyme immobilization techniques, the optimization of process parameters, and the techno-commercial considerations crucial for their widespread implementation. Furthermore, this review offers novel insights into strategies for overcoming limitations such as design complexities, laminar flow challenges, enzyme loading optimization, catalyst fouling, and multi-enzyme immobilization, highlighting the potential for sustainable and efficient enzymatic processes in various industries.
在生物催化中整合微流控设备和酶促过程是一个快速发展的领域,具有广阔的应用前景。本综述探讨了各个方面,包括应用、可扩展性、技术商业影响和环境后果。酶嵌入微流控设备具有诸多优势,如尺寸紧凑、传热迅速和试剂消耗极少,尤其在制药光学纯化合物合成中。应对可扩展性挑战涉及均匀流分布和一致停留时间的策略。与下游处理和生物催化反应相结合使整个过程环境友好。该综述探讨了与反应动力学、辅因子循环和技术商业方面相关的挑战,强调了成本效益、安全性提升和能耗降低。讨论了自动化和商业级基础设施的潜力,同时考虑了初始投资和长期节省。在酶嵌入微流控设备中纳入机器学习提倡将实验方法和计算机模拟方法相结合以进行优化。这篇全面的综述研究了与这些设备相关的进展和挑战,重点关注它们与酶固定化技术的整合、工艺参数的优化以及对其广泛应用至关重要的技术商业考量。此外,本综述为克服诸如设计复杂性、层流挑战、酶负载优化、催化剂污染和多酶固定化等限制的策略提供了新颖见解,突出了在各个行业实现可持续高效酶促过程的潜力。