Optimization of a sustainable analytical methodology for performance improvement of industrial quality control

Abstract

In order to remain competitive in a world where digital tools are dominant, the industry must continue to modernize its production tools, evolve its business models, its organization, and redesign its design and marketing modes. Thus, the industry of the future must be innovative, competitive, efficient, safe and attractive. It connects employees, production machines, service providers, and the territory. It knows how to respond to the economic, technological, organizational, environmental and societal challenges of the 21st century. The main objective of this work is to optimize and evaluate the efficiency of a new sustainable and digital analytical approach. This analytical technique, developed based on IR-ATR spectroscopy linked to multivariate analysis, was applied to samples of small green peas coming from very close geographical areas. The obtained results clearly show the robustness and the efficiency of the technique to be an analytical approach which meets the requirements of the future industry in a digital world.