## 7 Conclusions  
The statistical analysis conducted confirms that the proposed device based on the use of a pneumatic pumping system produces statistically similar results to those obtained with conventional pressure tank systems, as evidenced by the comparisons of the distributions and analytical results. These findings indicate that the device can be used as a reliable alternative for measuring clogging potential in the wine industry, while maintaining the accuracy of current methods. The developed device has demonstrated a significant reduction in operation times, particularly in the sample preparation and introduction stages (64.9%) and cleaning (86.2%), leading to an overall reduction of 52% in total processing time. When excluding the measurement stage, the total reduction increases to 66.2%. Additionally, the elimination of the pressurized tank enhances safety by minimizing the risks associated with high-pressure systems. This improvement frees up operational time, increasing the laboratory's analytical capacity and allowing personnel to be reassigned to other critical tasks. These factors make the device a more efficient and safer option for implementation in industrial environments. The results of the user survey show a high level of satisfaction with the proposed device in terms of handling, design, and safety. Additionally, the evidence obtained indicates that the majority of users believe that incorporating an automated data reading and capture system would improve the process by enabling continuous recording and immediate calculation of key indicators. This evidence is important to consider in future developments or improvements to the device, as it would help enhance accuracy, reduce manual errors, and improve decision-making based on real-time data. The results of this study clearly demonstrate how the application of science to industrial challenges can generate innovative and effective solutions. In particular, this work establishes a solid technical and methodological foundation for future advancements in the measurement of clogging potential in different fluids. In this context, it is essential to emphasize the importance of integrating scientific knowledge with a deep understanding of industrial processes and challenges, as this facilitates the development of tools and solutions designed to effectively support operational decision-making. This approach contributes to operational efficiency while simultaneously enhancing process safety and fostering value creation in the industry. The developed device presents significant potential for adaptation to various applications beyond those evaluated in this study. Its flexible and safe design allows for its implementation in processes requiring the handling of sensitive liquids under controlled conditions, such as sample extraction in refineries to monitor contaminants, liquid filtration in bioprocesses to ensure product purity, and the optimization of filtration processes in the food and beverage industry, including beer production. Additionally, its capacity to handle larger volumes and develop customized indicators positions it as a versatile and efficient tool with potential applications in pharmaceutical and chemical industries. These characteristics expand its utility across different industrial contexts and, in combination with the methodological framework developed in this study, also provide a robust foundation for the evaluation and validation of its performance in diverse scenarios, promoting adaptability and contributing to the advancement of technological solutions across multiple sectors. In this context, future research should focus on the development of new analytical methods based on this device, ensuring their applicability across various industries. These methods should aim to validate the optimal measurement conditions and evaluate the indicator's contribution to decision-making processes, further strengthening the device's relevance and impact in industrial applications.