Spirulina plays an important role in the food industry due to its rich protein content and other nutritional values. 2D-COS spectral analysis is widely used nowadays in understanding the change in the molecular mechanism of biological samples. Two trace 2D-COS (2T2D-COS) is a technique that has gained much attention due to improved accuracy and higher spectral resolution. The selected band area measurement (Lipid/Amide I, Lipid/Carbohydrates, Amide I/ Amide II) shows that the samples S2 and S3 have higher quality among other samples. A positive correlation of increased lipid oxidation with lipid changes exists among all the samples studied. Synchronous spectra show auto peaks at 2870 cm−1, 1624 cm−1, 1034 cm−1 for samples S2 and S3 which helps in assessing food quality. Asynchronous negative cross-peaks (2870, 2815) indicate a higher presence of polysaccharides in the samples S1 and S4. The negative cross-peaks (1206, 1036) show deformation in the pyranose ring of polysaccharides in the S4 sample due to food processing. The negative PCA loading at 997 cm−1 shows the polymerization of carbohydrates mechanism occurring at glucan bands. Hierarchical cluster analysis shows clustering of dissimilar products occurring at a higher value. ROC curve depicts the higher reliability of our findings using 2T2D-COS.