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• Reduced graphene oxide (rGO) based non-enzymatic electrochemical sensor was prepared. • The sensor detected propampcarb pesticide in the wide linear range of (1–5) μM with a high sensitivity of 101.1 μAμM−1 cm−2 within 1 min. • The sensor is highly selective against propamocarb pesticide. • The sensor detected (1–5) μM propamocarb pesticide on the real cucumber with high sensitivity sample within 1 min. In this study, reduced graphene oxide (rGO) was prepared using a green ultrasonic microwave assisted method and investigated rGO based non-enzymatic electrochemical sensor for detecting a synthetic fungicide as a propamocarb (PM) pesticide. The rGO-based sensor exhibited rapid response within 1 min, low detection limit of 0.6 μM and wide linear range of (1–5) μM with a high sensitivity of 101.1 μAμM−1 cm−2 for PM. Besides this, the sensor detected the propamocarb pesticide on the real cucumber sample with high sensitivity in the concentration range of (1–5) μM within a 1-minute cycle. The sensor is highly selective against propamocarb pesticide. The prepared non-enzymatic electrochemical sensor exhibited high sensitivity, high selectivity, reproducibility, and rapid response. [ABSTRACT FROM AUTHOR]

• A corylus colurna/Cu 2 O nanoparticles-based sensors was developed. • Smartphone-electrochemical sensors were developed. • A low limit of detection of 27.92 nmolL-1. • The biosensor showed high selectivity. Ascorbic acid (AA) is a highly water-soluble organic chemical compound and plays a significant role in human metabolism. For the purpose of food quality monitoring, this study focuses on the development of a smartphone-integrated colorimetric and non-enzymatic electrochemical Corylus Colurna (CC) extract-Cu 2 O nanoparticles (Cu 2 O NPs) biosensor to detect AA in real food samples. The characterization of the CC-Cu 2 O NPs was determined using SEM, SEM/EDX, HRTEM, XRD, FTIR, XPS, TGA, and DSC. The CC-Cu 2 O NPs are cubic in shape with an approximate size of 10 nm. According to electrochemical results, the oxidation of AA at the modified electrode exhibited a LOD of 27.92 nmolL-1 in a wide concentration range of 0.55–22 mmolL-1. The fabricated digital CC-Cu 2 O NPs sensor successfully detected AA in food samples. This strategy provides a nanoplatform to determine the detection of AA in food samples. [ABSTRACT FROM AUTHOR]