Tergitol@SiO2@Fe3O4 magnetic nano-material and experimental design methodology: An effective and selective adsorbent for solid phase microextraction and flame atomic absorption spectrometric analysis of lead in different matrixes

In current paper, we synthesized a new and functional magnetic Tergitol@SiO2@Fe3O4. The synthesized magnetic nano-material was characterized in detail using transmission electron microscopy, energy dispersive spectrometer, X-ray photoelectron spectroscopy, and fourier transform infrared spectrometer. Then, the applicability of the synthesized nano-material to the separation and preconcentration of Pb(II) ions was investigated prior to flame atomic absorption spectrometric determination. In order to ensure efficient and selective extraction of Pb(II), major variables such as pH, adsorbent amount, and adsorption time were optimized by multivariate methodology based on Box-Behnken design. Under the optimized conditions, linearity, detection limit, enhancement factor, and relative standard deviation (RSD%) were 0.2-250 mu g L-1, 0.07 mu g L-1, 84, and 1.8%, respectively. Accuracy and precision of the optimized method were investigated by using two certified reference materials (INCT-TL-1-tea leaves and SRM-1643e Trace elements in water), and good recoveries (94.7-103.9%) with low RSDs were achieved. Finally, the optimized method was successfully applied for the determination and separation of lead in different matrixes

Application of a new dithizone grafted polymeric adsorbent for solid phase microextraction of manganese and copper prior to FAAS in fortified vegetables and barbecue samples

A new potential solid phase material called as dithizone@PAA was synthesized for first times, characterized and utilized as an easy versatile polymeric sorbent for the shake-assisted dispersive solid-phase micro-extraction of Mn(II) and Cu(II) ions from fortified vegetables and barbecue samples followed by flame atomic absorption spectrometry. The proposed approach is based on batch type solid phase extraction of Mn(II) and Cu(II) ions prior to their flame atomic absorption analysis (FAAS). All experimental variables were examined and optimized in detail. Using the optimized values, the dynamic linear range for Mn(II) and Cu(II) ions was 0.70-150.00 and 0.20-125.00 ng mL(-1), respectively, and the limits of detection for Mn(II) and Cu(II) ions were 0.20 and 0.06 ng mL(-1), respectively. The preconcentration factor was 50 for both analytes. The relative standard deviations of 3.1% and 2.5% were obtained at 75.00 ng mL(-1) level of Mn(II) and Cu(II) ions. The precision and accuracy of the proposed method were investigated by the certified reference materials via intraday and inter-day studies. Finally, the results showed that the method was successfully applied for determining Mn (II) and Cu (II) ions in selected food samples with good recoveries

The Prevalence of Low T3 With Arrhythmia and Heart Failure in Patients With Acute Coronary Syndrome

Aims: To investigate the prevalence of low T3 in patients with acute coronary syndrome (ACS)

Pileup mitigation at CMS in 13 TeV data

With increasing instantaneous luminosity at the LHC come additional reconstruction challenges. At high luminosity, many collisions occur simultaneously within one proton-proton bunch crossing. The isolation of an interesting collision from the additional "pileup"collisions is needed for effective physics performance. In the CMS Collaboration, several techniques capable of mitigating the impact of these pileup collisions have been developed. Such methods include charged-hadron subtraction, pileup jet identification, isospin-based neutral particle "δβ"correction, and, most recently, pileup per particle identification. This paper surveys the performance of these techniques for jet and missing transverse momentum reconstruction, as well as muon isolation. The analysis makes use of data corresponding to 35.9 fb-1 collected with the CMS experiment in 2016 at a center-of-mass energy of 13 TeV. The performance of each algorithm is discussed for up to 70 simultaneous collisions per bunch crossing. Significant improvements are found in the identification of pileup jets, the jet energy, mass, and angular resolution, missing transverse momentum resolution, and muon isolation when using pileup per particle identification