## 5 Conclusions  
This research shows the feasibility of using NIRS technology in the Iberian meat sector for rapid of pre-sliced and packaged products quality control. NIR spectral pre-processing and chemometric approaches can be an alternative tool for the traceability and authenticity control of the individual pre-sliced MAP Iberian _chorizo_ according to different official commercial categories of raw material compiled by the current Spanish Iberian Quality Standard used for its manufacture (_Black_, _Red_ and _White_). As the models were developed with direct contact measurements without opening the package, their reproducibility could be limited by the characteristics and type of plastic, as well as the composition of the gases inside the package. Therefore, these results open a line of study aimed at evaluating the effectiveness of NIRS technology as an alternative tool for the assessment of other meat products packaged in other types of packaging, such as vacuum or active packaging. **Supplementary Materials:** The following are available online at [[https://www.mdpi.com/article/10.3390/app112311379/s1](https://www.mdpi.com/article/10.3390/app112311379/s1)]([https://www.mdpi.com/article/10.3390/app112311379/s1](https://www.mdpi.com/article/10.3390/app112311379/s1)), Figure S1. Spectral sampling (reflectance) of a sample of Iberian _chorizo_ under modified atmosphere packaging with a LabSpec 2500 (ASD Inc., Madrid, Spain) NIRS spectrometer equipped with an ASD fibre-optic contact Probe(r) (21-mm window diameter). Figure S2: Graphical representation of the regression coefficients of the spectral data of Iberian _Chorizo_ from PLS-DA analysis after SNV-DE (1000-2300 nm) for _Black_ (A) and SG 1,4,4,1 SNV-DE (1000-2300 nm) for _Red_ and _White_ (B and C, respectively). Significant variables are highlighted in _black_. Figure S3: 2-D scatter PCA analysis plot of calibration sample set (\(n=72\)) after SNV-DE (reflectance) at 1000-2300 nm (A), and after SG 1,4,4,1 SNV-DE (reflectance) at 1000-2300 nm (B). Samples were grouped by official commercial categories (_Black_, _Red_ and _White_) of raw material used for manufacturing Iberian _chorizo_. Graphical representation of PC1 (51%, 30%, respectively) vs. PC2 (23%, 19%, respectively). Figure S4: SIMCA plot from spectra data showing both the sample-to-model distance (Si) and the sample leverage (Hi), including the class membership limits for projection of samples to _Black_ PCA (reflectance) 1000-2300 nm model in calibration (A) and external validation (B) sample sets. Figure S5: SIMCA plot from spectra data showing both the sample-to-model distance (Si) and the sample leverage (Hi), including the class membership limits for projection of samples to _Red_ PCA SG 1,4,4,1 (reflectance) 1000-1800 nm model in calibration (A) and external validation (B) sample sets. Figure S6: SIMCA plot from spectra data showing both the sample-to-model distance (Si) and the sample leverage (Hi), including the class membership limits for projection of samples to _White_ PCA SNV-DE (reflectance) 1000-1800 nm model in calibration (A) and external validation (B) sample sets. Table S1: PLS-DA calibration results of models developed for pre-sliced MAP Iberian _chorizo_ classification within the official commercial categories of the raw material (_Black_, _Red_ and _White_) according to various spectral pre-treatments and spectra ranges. Table S2: SIMCA calibration results of models developed for pre-sliced MAP Iberian _chorizo_ classification within the official commercial categories of the raw material (_Black_, _Red_ and _White_) according to various spectral pre-treatments and spectra ranges. Conceptualization, A.O. and D.T. ; methodology, A.O., R.C. and L.L. ; formal analysis, A.O. and L.L. ; investigation, D.T. ; writing--original draft preparation, A.O. and L.L. ; writing--review and editing, D.T. ; funding acquisition, D.T. All authors have read and agreed to the published version of the manuscript.