1,721,534 research outputs found

    Smart Electrochemical Portable Tools for Cultural Heritage Analysis: A Review

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    Abstract: Protecting Cultural Heritage (CH) from corrosion and other environmental damages, mainly involving metallic or organic layers contained in artwork, represents a major challenge for conservation scientists. Electrochemical techniques provide useful information about the deterioration eects of metallic coatings and organic layers. Recently, Electrochemical Impedance Spectroscopy (EIS) has been successfully applied in the study of metallic corrosion. However, EIS has not succeeded in becoming a routine technique, due to problems regarding both instrumental apparatus (which is not ideal for in situ analysis, especially with previous cell configurations), and the diculty with data processing. At the same time, new portable electrochemical sensors, immunosensors, and biosensors have successfully made a scientific impact, mainly with in situ diagnosis of organic components contained in CH objects. For this purpose, this review presents two sections: the first describes the analytical optimization of impedance electrochemical cell geometries that are suitable for in situ metal-coating investigation; the second reports on the assembly of small electrochemical sensors, immunosensors, and biosensors, which useful for in situ organic layer characterization. This overview summarizes the state of the art regarding the application of electrochemical techniques and small electrochemical devices as alternative tools for the understanding of CH

    Nanomaterials and analytical chemistry

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    Nanomaterials play an important role in the area of sensor technology. In fact the sensitivity and the signal-to-noise ratio of many chemical sensors are significantly improved using nanomaterials. They have allowed the introduction of many strategies in sensors and biosensor technology. Recently, catalytic nanomotors were used for drug delivery, showing an oriented motion into the cells when they are assembled using magnetic nanowires. In this review, detailed bibliographic references are presented concerning the assembling of nanomaterial-based sensors, and a brief discussion about the potential health risk of nanoparticles will be also presented

    Kernel-based time-varying IV estimation: handle with care

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    Giraitis et al. (J Econom 224(2):394-415, 2021) proposed a kernel-based time-varying coefficients IV estimator. By using entirely different code, we broadly replicate the simulation results and the empirical application on the Phillips curve, but we note that a possible oversight might have affected some of the reported results. Further, we extend the results by using a different sample and a wider choice of smoothing kernels, including data-based ones; we find that the estimator is remarkably robust across a wide range of smoothing choices, but the effect of outliers may be less obvious than expected
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