## 6 Discussion
### Validation of the Performance of the New Device  
The results of the comparative analysis between the proposed new constant-pressure system and the traditional method based on a pressure tank demonstrate that, under the standard conditions established in the measurement procedure, there are no statistically significant differences in the evaluated parameters (Vmax, FI, and FMI). The statistical tests applied, including the Shapiro-Wilk normality test and Student's t-test for independent samples, yielded \(p\)-values greater than 0.05 in all cases, indicating that the null hypothesis of equality between the methods is not rejected [36]. This confirms that both devices provide equivalent analytical results when operated under controlled and standardized conditions. This evidence validates the capability of the new device to replace the conventional method without compromising the precision or reliability of the measurements in the context of standard operating conditions. The successful replication of traditional clogging indices further suggests that the new system is suitable for implementation in the analysis process of the clogging potential of wine before bottling. It is important to highlight that the standard conditions include critical parameters such as a constant pressure of 30 psi, controlled temperature, and the use of specific filtration membranes, which were strictly maintained during the tests [37]. Rigorous adherence to these parameters ensures that the comparisons between both methods are valid and that any potential differences are attributable to the device and not to variations in experimental conditions. However, it is essential to consider that this validation was carried out under standardized and controlled conditions. Therefore, the extrapolation of these results to different operational conditions should be approached with caution. It is important to note that the traditional system based on a pressure tank has also not been widely studied in terms of the variation in test conditions. Factors such as temperature variations or different pressures could influence the performance of both the new device and the traditional system in scenarios not contemplated in this study [4]. Additionally, the evaluation of the distribution of accumulated filtered volume over time showed that the curves generated by both systems are statistically similar, with Kolmogorov-Smirnov statistic values and \(p\)-values greater than 0.05 in all analyzed samples. This similarity indicates that the dynamic behavior of the filtration process is consistently replicated by the new device. The implications of this finding are significant, as they allow for the consideration of developing new clogging indicators based on different combinations of time and volume variables [21]. These new indicators could provide a more detailed understanding of the clogging process and offer additional tools for operational decision-making based on analytical evidence. The analysis of processing times revealed an average reduction of 52% in total time when using the new device, increasing up to 66.2% when excluding the measurement stage, which is independent of the equipment used. The cleaning stage benefited the most, with an 86.2% decrease in the required time. These improvements in operational efficiency are especially relevant in industrial environments with high analytical demand, as they allow for increasing the laboratory's processing capacity and optimizing the allocation of human resources [6]. Specifically, the significant reduction in processing time enhances the laboratory's analytical capacity and improves the response time to internal demands. The user-level validation showed high satisfaction with the new device, reporting significant improvements in ease of preparation, configuration time, ease and time of cleaning, and safety conditions. All users (100%) positively rated the reduction in preparation and cleaning time, while 80% perceived improvements in safety conditions.