The purpose of this thesis work was to investigate possible in-, on- or at-line methods to determine the degree of oxidation in dialdehyde cellulose. Several technologies were reviewed which led to a feasibility study into a possible on-line or at-line method using near infrared spectroscopy for determining the degree of oxidation in wet dialdehyde cellulose. A calibration model was built using the near infrared spectra of 19 samples created from kraft pulp with a degree of oxidation between 0 and 52.1 %. The obtained model uses five significant principal components and has a goodness of fit (R2) of 0.998 and a goodness ofprediction (Q2) of 0.991. The first principal component describes the degree of oxidation and the second the water content. A validation set of six samples was used to test the model and the predicted values resulted in a root mean square error of prediction of 0.85 in comparison with the reference method which had a pooled standard deviation of 0.69.