An intelligent control system for protein purification based on AI reinforcement learning

CN122410985APending Publication Date: 2026-07-17SUZHOU JIUTONG HENGTAI MEDICAL TECHNOLOGY CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUZHOU JIUTONG HENGTAI MEDICAL TECHNOLOGY CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing protein purification chromatography processes lack the ability to dynamically respond to batch-to-batch differences in biological feed and the degradation of chromatography column performance, resulting in poor consistency in yield and purity. Furthermore, the lack of proactive safety defense mechanisms poses risks of equipment damage and material spoilage.

Method used

An AI-based reinforcement learning-based intelligent control system is adopted. Through a state space construction module, a reinforcement learning agent module, a safety projection layer module, and an online training module, multi-dimensional state parameters are collected in real time for dynamic strategy optimization and safety verification. Combined with a lightweight state prediction model and a reward calculation module, adaptive adjustment of process parameters and safety constraints are achieved.

Benefits of technology

It improves the consistency of target protein yield and purity between different batches, avoids the risk of process overruns caused by strategy trial and error, and ensures system safety under extreme abnormal conditions, preventing material scrap and equipment damage.

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Abstract

本发明公开了一种基于AI强化学习的蛋白纯化智能控制系统。该系统包括状态空间构建模块、强化学习智能体模块、安全投影层模块及在线训练模块;通过实时采集多维状态参数生成状态向量,利用强化学习智能体输出控制动作,并经由安全投影层内的轻量化预测模型进行前置校验与边界修正,同时在线训练模块执行三级熔断保护机制。本申请主要用于单克隆抗体等生物制品的层析纯化过程控制,能够在保证工艺安全的前提下动态优化洗脱策略,提高产品收率与批间一致性。
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