When analyzing the performance of a given device towards detecting of specific analyte, time response is extremely relevant. In the case of SERS, where the analyte needs to be docked at the close vicinity to the substrate surface, the time response will be highly influenced by the nature of sample . As can be seen in Figure , 76% of the experiments were conducted using liquid samples, as expected from the predominance of cast-particles substrates, while the rest of the reports employ gaseous samples (22%). The remaining 2% involve other types of samples such as aerosols, pure solids, etc. Through the analysis of average values obtained from box plots (see Figure ), it becomes evident that the detection of analytes in the gas phase is faster compared to that in the liquid phase. Specifically, the average detection time for gas-phase analytes stands at 11 minutes, while liquid-phase analytes exhibit a significantly longer average detection time of 264 minutes. This stark contrast in detection times highlights the advantage of implementing MOF-based SERS sensors for VOC sensing applications directly from the gas phase. Regarding the use of SERS for quantification purposes, good analytical practices and different processing methodologies have been proposed. Among them, the need of including validation steps during calibration routines is highlighted. Determining of the Limit of Detection (LOD, defined as a concentration where the sensor response yields three-times the standard deviation of the blank) can be employed for side-by-side comparison since it depends on instrumental factors as well as on the substrate and sample's characteristics. Another important aspect is to consider the use of internal standards. These are Raman reporters that are either placed ad-hoc or part of the substrate´s structure for which the Raman signal (Istandard) should remain invariable during the course of the experiment. By this strategy, Istandard is employed as normalization value and accounts for most of the inter-substrate variability. Finally, in terms of reproducibility (which should not be mistaken for uniformity), comparisons between batches should be established. These aspects were addressed in a recent interlaboratory study where 15 laboratories, involving 44 researchers over 11 countries, provided more than 3500 SERS spectra, for which, different figures of merit (accuracy, trueness, and precision) were assessed. As a result of this analysis, the authors agree that SERS can be employed as a quantitative tool worldwide if well-defined protocols are implemented.