更好地控制反应 – 采集所有数据
研究显示，85% 的实验室数据会丢失，这是因为这些数据未从仪器传输或者根本未被记录。 数据可帮助更好地理解反应的工作原理以及参数变化对过程造成的影响。 我们的新白皮书讨论如何确保数据采集。
The pressure is on to accelerate new product introductions. In order to do this, scientists multi-task across project teams and deliver on demanding objectives. In this environment, the personal productivity of every scientist counts. When people are empowered to do their most productive work they can use resources more wisely and still achieve outstanding results. The references and resources below describe how innovative companies are identifying and addressing key bottlenecks in scientists' workflows.
Impact of Process Intensification on Process Safety
This presentation discusses how Nalas Engineering safely handles high energy materials and hazardous chemistry.
化学反应的原位监测
使用光谱学进行原位反应监测使科学家能够看到他们的化学反应在反应时发生了什么，并允许立即改变化学条件以加快工艺开发。
化工工艺开发与放大中安全、无人监管下全自动加料
Grünenthal 的工艺研发团队通过自动定量给料和以无人值守的方式运行高放热反应来提高生产率，而无需更多的员工。
Using Data-Rich Experimentation to Enable the Development of Continuous Processes
David Ford of Nalas investigated an Oxidative Nitration reaction with a fast and highly exothermic oxidation step using reaction calorimetry and Process Analytical Technology (PAT).
Organizational Productivity Challenges
- Organizations typically operate with intensity during the day but slow or shut down during the night
- Experiments are scheduled inefficiently because the scientist must be present to take a sample or change a process variable
- Unreliable results are obtained from non-standard experimental methods
- Scientists must be present to record information and any data that is collected to be transcribed manually to a notebook
- Scientists waste time preparing data from multiple sources for analyzing and reporting
- Valuable data is routinely lost and scientists cannot leverage institutional knowledge to minimize the hands-on work needed to complete projects