背景：监管要求为何持续升级？
近年来，《中国药典》及 GMP / GLP 相关法规对实验数据完整性（Data Integrity, DI）的要求日益具体。FDA 和 EMA 发布的数据完整性指南明确指出，数据记录必须具备可归属性（Attributable）、清晰性（Legible）、同步性（Contemporaneous）、原始性（Original）和准确性（Accurate）——简称 ALCOA 原则。
传统纸质记录或孤立仪器产生的数据，难以满足"原始且不可篡改"的要求，也无法形成完整的操作链路追溯。随着检查机构对实验室审计的频率与深度增加，数据完整性已从"加分项"演变为"准入门槛"。
自动化如何构建可信数据链？
1. 操作动作的数字化留痕
自动化平台将每一步实验操作——注液量、搅拌转速、反应温度、传感读数——直接写入系统日志，时间戳由服务器时钟授时，不依赖操作人员手动记录，从根本上消除转抄错误。
2. 电子签名与权限矩阵
基于角色的三级权限控制，确保只有经过授权的人员才能执行或审批关键操作。电子签名符合 21 CFR Part 11 相关设计要求，每条记录可追溯至具体人员与操作时刻。
3. 审计追踪不可绕过
系统对参数修改、手动干预、异常报警等关键事件自动生成审计日志，且不提供关闭入口。审计日志与实验数据绑定存储，确保在检查时能完整重现实验过程。
真泰科技的实践：在溶出仪自动化与 pH 配液整线项目中，系统对每杯加液量、每次 pH 调整均生成带时间戳的操作记录，并支持导出为标准审计报告格式，直接服务于客户的 IQ / OQ / PQ 验证文档。
数据本地化与主权保障
制药与科研机构通常对数据出境有严格限制。真泰科技的软件平台采用本地服务器部署模式，原始数据不经过任何第三方云端，满足数据主权与 GMP 环境下的存储合规要求。
下一步：数据与 AI 的融合
完整、结构化、可追溯的实验数据不仅是合规的要求，也是 AI for Science 落地的先决条件。一个具备数据完整性基础设施的实验室，能够为模型训练和实验闭环优化提供可信的数据供给，而无需在事后进行耗时的数据清洗工作。
Background: why are regulatory requirements escalating?
In recent years, the Chinese Pharmacopeia and GMP / GLP regulations have become increasingly specific about Data Integrity (DI). FDA and EMA guidance requires that records be Attributable, Legible, Contemporaneous, Original and Accurate — the ALCOA principles.
Traditional paper records or isolated instruments cannot satisfy "original and tamper-evident" requirements, nor support complete operational audit trails. As inspection bodies increase the frequency and depth of lab audits, data integrity has shifted from a "bonus" to a "threshold requirement."
How does automation build a trustworthy data chain?
1. Digital traceability of every action
Automation platforms write every experimental step — dispensing volume, stir speed, reaction temperature, sensor readings — directly to a system log, timestamped by a server clock rather than manually recorded, eliminating transcription errors at the source.
2. Electronic signatures and permission matrices
Role-based three-tier access control ensures only authorized personnel can execute or approve critical operations. Electronic signatures comply with 21 CFR Part 11 design requirements; every record traces back to a specific person and moment.
3. Immutable audit trails
The system automatically generates audit logs for parameter changes, manual interventions and alarms — with no option to disable them. Logs are stored bound to experimental data, enabling complete process reconstruction during inspections.
Zhentai in practice: In the dissolution automation and pH formulation line projects, the system generates timestamped records for every dispensing volume and pH adjustment, exportable as standard audit report formats to directly support IQ / OQ / PQ validation documentation.
Data localization and sovereignty
Pharmaceutical and research institutions typically have strict restrictions on data leaving the premises. Zhentai's software platform deploys on local servers; raw data never passes through any third-party cloud, meeting data sovereignty and GMP-environment storage compliance requirements.
Next: merging data with AI
Complete, structured and traceable experimental data is not only a compliance requirement — it is also a prerequisite for AI for Science. A lab with a data integrity infrastructure can supply trustworthy data for model training and closed-loop experimental optimization, without costly post-hoc data cleaning.
想了解真泰科技的合规方案？Interested in Zhentai's compliance approach?
我们提供从方案设计到 IQ/OQ/PQ 工程配合的全程支持。We provide end-to-end support from solution design through IQ/OQ/PQ validation engineering.