It is known that the development of advanced nanomaterials as sensor for sensing the biomolecules is on the cutting edges of physiological research, in order to master its levels in the human serum and urine. So, many catalysts (sensors) have been proposed to meet this requirement but some issues like (1) the electrode fouling upon oxidation and (2) the interference among the biomolecules due their overlapping of the oxidation potentials which leads to poor selectivity and reproducibility. So, in the same way, recently, Yang, Y., et al reported a (SWCNTs-array-GCE) selective sensor, which presents high catalytic performances for both Dopamine (DA), and Uric Acid (UA). Also, as can be seen from fig. , it exhibits some actives for Ascorbic Acid determination. Hence, it summarized that this sensor might be useful this particular issue as it possesses higher selective with a distinct oxidation potentials for each compounds and it also revealed plausible recovery. Recently, Liu, X., and his co-workers made a review about Biosensors and Sensors for the determination of dopamine from samples.