ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Aqueous
two-phase system (ATPS) has been suggested as a promising separation tool in the biotechnological industry. This liquid-liquid extraction technique represents an interesting advance in downstream processing due to several advantages such as simplicity, rapid separation, efficiency, economy, flexibility and biocompatibility. Up to date, a range of biotechnological products have been successfully recovered from different sources with high yield using ATPS-based strategy. In view of the important potential contribution of the ATPS in downstream processing, this review article aims to provide latest information about the application of ATPS in the recovery of various biotechnological products in the past 7 years (2010e2017). Apart from that, the challenges as well as the possible future work and outlook of the ATPSbased recovery method have also been presented in this review article.
CHALLENGES AND FUTURE PERSPECTIVE
ATPS provide simple and powerful media for bioseparation of biotechnological products. Despite the definite advantages of ATPS, the wide commercial adoption of ATPS as a part of downstream processes at pilot scale is still not extensive. The reluctance to embrace ATPS by industries is mainly due to the complexity in understanding the interrelated interactions between ATPS compounds as well as difficulty in predicting the mechanism governing the phase formation and partition of biological materials, making the method development wholly empirical (16,68). Understanding forces governing partitioning of solutes in ATPS would allow a better process predictability and optimization. Extensive research with the aid of modern analytical techniques, statistical tool or reliable mathematical modelling is thus required (10). Recently, a semi-empirical model based on continuum electrostatics was applied to predict the protein partitioning characteristics in different polymer/polymer systems. Besides showing a good predicting ability on proteins partitioning, this model could significantly decrease the number of experiments needed for optimization of protein partitioning in ATPS (26).