The proposal for this work was to ensure the quality of the coffee through the construction of control charts associated with near infrared hyperspectral imaging and multivariate curve resolution. By using this procedure, it is possible to check the purity of the coffee quickly and efficient, as well as, to identify adulteration with roasted corn, branches, ground and coffee husks. Although the term quality can present numerous definitions, according to experts on the subject, there is a consensus that it refers to the needs and expectations of consumers in relation to the product and are also associated with indirect factors such as price, presentation of the packaging, among others. To better monitor the attributes related to the quality of a product it is possible to establish a statistical control, assessing the possible variations in relation to the known standards. To this end, control chart can be developed using a centerline and two control lines. The MCR-ALS was performed for decomposition of the data set, generated by an augmented matrix formed by 35 unfolded images, where the first 10 are pure coffees and the last ones are adulterated coffees. From MCR-ALS scores of the NIR images of pure coffees was calculated the average (centerline) and standard deviation of the values obtained (control limits). Then, for other 25 samples containing different concentrations of all sorts of adulterants already mentioned, the MCR-ALS scores values are submitted to the control chart. In this case, it was possible to identify the adulteration in all samples containing at least 1% of some adulterant.