Principal component analysis, on the other hand, was comparatively time consuming, and required feature selection which may introduce bias. Moreover, the use of an artificial neural network is beneficial in the case of authenticity testing as it is readily updated and retrained as more samples are tested, further improving its accuracy and reliability.