Object-oriented techniques for design and development of standard software solutions in automation and data management in analytical chemistry

We propose object-oriented design of software structures for both automating analytical processes and managing the data generated from these processes. For automation and data management, we develop two models for building the programs used in these two areas. We describe the advantages of these object-oriented models over traditional design. Thus, standardization, scalability, and independence of the programs are assured by object-oriented modeling. Characteristics such as inheritance, polymorphism, and encapsulation are used to achieve the goals of automation and data management, as well as providing a new way of representing analytical concepts in automation and data management.