Digitalization in Chemical Development
85% of laboratory data is lost because it is not transferred from instruments or is not recorded at all. Learn how to ensure data capture with this free white paper.
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.
المراقبة في الموقع للتفاعلات الكيميائية
تمكن مراقبة التفاعل في الموقع باستخدام التحليل الطيفي العلماء من رؤية ما يحدث في كيمياءهم أثناء تفاعلها وتسمح بإجراء تغييرات فورية في الظروف الكيميائية لتسريع تطوير العملية.
صرف المقادير بأمان وبدون مشغل في عملية التطوير الكيميائية وتوسيع النطاق
تقوم عملية Grünenthal R&D بأتمتة صرف المقادير وتشغيل تفاعلات طاردة للحرارة بدرجة كبيرة بدون مشغل لزيادة الإنتاجية بدون موظفين إضافيين.
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