Nanographene and α-cyclodextrin based sensors modified with gold nanoparticles and spheroidal copper were used to develop two stochastic sensors, which were then characterized and validated for the purpose of molecularly identifying and quantifying HER3 and HER4 in biological samples. In order to accomplish this goal, each of the stochastic sensors was incorporated in a nanoplatform. The two nanoplatforms were connected to a smartphone and recorded very low limits of determination (1 × 10−15 g ml−1) and wide linear concentration ranges (1 × 10−15–1 × 10−8 g ml−1) when a potential of 170 mV versus Ag/AgCl was applied. This allowed for the molecular identification and quantification of HER3 and HER4 in patients with gastric cancer, as well as in healthy ind ividuals. Keywords: stochastic sensor, nanoplatforms, gastric cancer, smartphone detection, HER (Some figures may appear in colour only in the online journal) 1. Introduction Human epidermal growth factor receptors, also known as ErbB, are engaged in crucial signaling pathways, including those that govern cell development, proliferation, and death [1, 2]. The HER family consists of four members: HER1 (EGFR or ErbB1), HER2 (ErbB2), HER3 (ErbB3), and HER4 (ErbB4) [3]. Overexpression of HER has been associated with the development of malignant potential and a bad prognosis in a number of different types of cancer [4, 5]. However, recent studies have proven that heterodimerization of HER3 with HER1/HER2/HER4 triggers a signaling n
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