According to the world cancer report in 2014; cancer is one of the leading causes for mortality worldwide . Therefore, efforts are concentrated to detect cancer at early stage and to reduce cases of its not complete removal in operations - to enhance survival rates for cancer patients. Molecular methods like Raman, IR and fluorescence spectroscopy proved to be powerful tools for label free differentiation of cancerous and non-cancerous tissue . However, the transfer of these results into the clinical applications is at very early stage. Reasons for that are not only technical troubles (not enough sensitivity, specificity and accuracy) ,but also too high costs for the instruments and special training needed for the operators. Hence, easy to handle cheap instruments are needed. Moreover, the specificity and sensitivity of the results should outperform conventionally used methods. This goal could be accomplished through the combination of methods and modification of expensive research systems to affordable sensors with friendly software using the adequate chemometric models.
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