Molecular Recognition of VSIG1 in Biological Samples for Fast Diagnosis of Gastric Cancer

Abstract

VSIG1 is a new biomarker member of the JAM family relevant in gastric cancer diagnostics. Due to its detection and quantification impact for fast and early diagnosis of gastric cancer, two types of intelligent miniplatforms based on stochastic sensors as detection tools, were designed and validated using real samples. A 3D stochastic microsensor based on Nitrogen and Sulfur dopped graphene paste modified with calix[4]arene-25,26,27,28-tetrol, and a 2D disposable screen-printed stochastic sensor based on thin film gold modified with calix[4]arene-25,26,27,28-tetrol were constructed and inserted as working sensors into the miniplatforms. The proposed intelligent miniplatforms shown sensitivities as high as 1.12 × 1010 s−1g−1ml, limits of determination of 1 × 10−23g ml−1, and working concentration ranges between 1 × 10−23 and 1 × 10−8 g ml−1. Recoveries higher than 99.30% with % RSD values lower than 0.05% were obtained when used for screening test of biological samples, for VSIG1.