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• Surface molecularly imprinted polymer with selective recognition capability to butachlor was fabricated. • A colorimetric paper chip combined with the smartphone was developed to detect butachlor in mung bean. • The sensor has highly selective and sensitive to butachlor with LOD is 1.43 ng/g. • The sensor is simple, cheap, portable and widely used for fast detection. A microfluidic paper chip colorimetric detection system based on surface molecular imprinting of zinc ferrite nanoparticles was established, and the detection images were obtained by smartphone for gray value analysis and determination of butachlor. The best functional monomers and addition ratio were selected by quantum chemical simulation calculation, the properties of the prepared molecularly imprinted polymers were analyzed, and the detection conditions were optimized. The linear range, sensitivity, and selectivity of the method were evaluated. The results showed that under the optimum conditions, the concentration of 2–80 ng/g had a good linear relationship (R2 is 0.9953), the detection limit was 1.43 ng/g, the specificity was good, and the whole detection process did not exceed 20 min. The microfluidic paper chip was applied to detect butachlor in mung bean samples. The results showed that the recovery was 93.4–106.4 %, and the relative standard deviation was less than 5.6 %. [ABSTRACT FROM AUTHOR]

[Display omitted] • A smartphone/PAD system was developed for iodate measurement in table salt. • The developed method performed comparably with commercial test kits. • The results of the present method agree well with the reference method. • The proposed method supports the green analytical technique. A digital colorimetric sensor was developed for the on-site measurement of iodate in food-grade salt. It involved a paper-based analytical device (PAD) containing an immobilized iodide/starch reagent and a smartphone as the detection system. Iodate ions produce a blue-black coloration on the PAD, the smartphone captures a digital image of the PAD, and an installed mobile app performs an analysis to generate color values related to the intensity of the color in the PAD. Parameters in the image acquisition and PAD preparation were optimized, and a matrix-matched calibration plot was employed for quantification. The plot exhibited a linear response in the concentration range of 10 to 100 mg iodate kg−1 of salt, and a detection limit of 2.20 mg kg−1 was determined. The present method was applied to analyze real samples, and the results agreed well with those obtained using the reference method at the 95% confidence level. [ABSTRACT FROM AUTHOR]

[Display omitted] • 2k factorial designs were used to optimize the µPADs methods. • Interferences as proteins and carbohydrates were removed in situ on the µPAD. • The formation of ABTS radical on the µPAD was 90 % faster than the batch method. • Samples analysis was only of 5 min for total polyphenols and antioxidant capacity. • Non-significant differences between the proposed µPAD and batch method. A µPAD to determine the total polyphenol content (TPC) by Folin-Ciocalteau (FC) method, and antioxidant capacity by ABTS method, coupling an in-situ pretreatment zone with Carrez reagents is proposed. Conditions of FC, K 2 S 2 O 8 , ABTS reagents concentrations, pH, and incubation were established using 2k factorial designs. The proposed µPAD showed linearities upper than 0.99 in ranges 0.150–2.000 mg L−1 and 0.100–1.000 mg L−1 for FC and ABTS methods, respectively, detection limits were lower than 0.135 mg L−1, precision lower than 13.47 %, and recoveries between 82.27 % and 114.60 %. Ten different food samples were analyzed to demonstrate the applicability of the µPAD, and the results were compared with those obtained by the batch methods, showing no significant differences (p > 0.05). The µPAD in-situ sample treatment allowed removing interferences before the TPC and ABTS detection avoiding overestimation of the results. [ABSTRACT FROM AUTHOR]

• A simple and on-site paper-based analytical device for determine peroxide value. • Needing low amount of samples, solvents, and reagents and does not need glassware and skilled personnel. • A well-defined inverse logarithmic calibration curve is established between color intensity and PV. Peroxide value (PV) is one of the most typically used quality parameters to monitor lipid oxidation. Here, a simple paper-based analytical device (PAD) has been developed to determine PV in vegetable oils. The analysis is based on setting up the iodometric titration, where hydroperoxides in the oil are reacted with excess iodide ions to generate iodine molecules, on the paper substrate. The device is composed of two paper layers acting as reaction and detection zones, aligned in a metallic mold. A well-defined inverse logarithmic calibration curve was established between the measured PV by the official iodometric method (ISO;3960, 2017) and the color intensity of PAD. It offered a working range of 0.01–30.0 meq/Kg. The limit of detection of 0.015 meq/Kg demonstrated enough sensitivity of the method to estimate peroxide value in edible oils. On-site and visual detection, low cost, simplicity, and less solvent consumption are advantages of the proposed device. [ABSTRACT FROM AUTHOR]

[Display omitted] • A portable smartphone-assisted fluorescence sensor was developed for MG detection. • Al-MOF and Rhodamine B were used to fabricate a ratiometric fluorescent sensor. • A paper-based analytical device was integrated with the smartphone. • The intelligent and visual analytical method showed satisfactory detection results. Developing intelligent, sensitive, and visual methods for rapidly detecting veterinary drug residues is essential for ensuring food quality and safety. A portable smartphone-assisted ratiometric fluorescent sensor was successfully designed using fluorescent Al-MOF nanosheet and rhodamine B (RhB) as fluorescent probes to adjust to the requirement of malachite green (MG) detection. The developed ratiometric fluorescent sensor allowed sensitive and selective detection of MG with good linear relationships in a wide range of 0.5–200 μg/mL. The Quantitative linear range is 5.3 μg/mL to 200 μg/mL. The limit of detection (LOD) and limit of quantification (LOQ) were calculated to be 1.6 μg/mL and 5.3 μg/mL respectively. The practicability of the proposed method was verified using high performance liquid chromatography (HPLC) in spiked fish tissues with satisfying recoveries and RSD. Moreover, portable smartphone-assisted fluorescent test papers were fabricated for the intelligent detection of MG. This integration of smartphones and fluorescent test papers was economical and saved time, providing an alternative strategy for the qualitative discernment and semi-quantitative analysis of MG on-site. [ABSTRACT FROM AUTHOR]