► Genistein, caffeic acid, (+)-catechin, and myricetin were tested as natural phenolic antioxidants in linseed oil. ► Hydroperoxide production, α-linolenic acid content, and antioxidant concentration ...were measured during a thermal treatment. ► Efficiency of phenolic compounds ranked as follows: genistein<caffeic acid<(+)-catechin<myricetin. ► The structural features of phenolic compounds modulate their protective effects against oil oxidation.
Linseed has been used for a very long time in human and animal nutrition. Currently, there is an increasing interest in linseed oil because of its particularly high content in α-linolenic acid (ALA), an omega-3 fatty acid (FA). Unfortunately, ALA turns also the oil extremely sensitive to oxidation. This study aimed at assessing four pure representative phenolic compounds, myricetin (flavonol), (+)-catechin (flavanol), genistein (isoflavone), and caffeic acid (hydroxycinnamic acid) at a concentration of 555μmol/kg as antioxidants in refined linseed oil (RLO). Their protective effect was assessed by monitoring the hydroperoxide formation, the FA profile and the residual antioxidant concentration in RLO, along its storage at 60°C according to the Schaal oven test procedure. Caffeic acid, (+)-catechin and myricetin were found to be more efficient than butylated hydroxyanisole (BHA), a synthetic antioxidant. Interestingly, myricetin strongly reduced ALA oxidation. These results confirm that the chemical structure of the phenolic compounds plays a major role in their antioxidant properties.
One of the constraints in using standard FloatZone silicon layer as base material for tracking in particle physics is its radiation hardness. The detection efficiency is degraded by the introduction ...of defects in the silicon crystal and charge trapping becomes the main problem. The Charge Collection Efficiency (CCE) is a relevant parameter in order to determine the detection performance of such devices. A state-of-the-art test system named "Système de mesure de collection de charge" (SYCOC) has been developed for the characterization of diode and microstrip silicon sensors before and after irradiation. The system is designed to perform Charge Collection Efficiency (CCE) and Transient Current Technique (TCT) measurements with laser and radioactive sources in a controlled environment. Initial measurements on diodes are presented.
Abstract Background Treatment of newly diagnosed GBM with postoperative RT and concomitant TMZ followed by 6 months of TMZ maintenance therapy has been shown to significantly improve overall survival ...compared with RT alone. Standard clinical assessments of these patients include Gd-MRI as well as neurologic evaluation. Frequently, patients exhibit immediate post-RT changes in enhancement on Gd-MRI that mimic tumor progression (ie, pseudoprogression or radiation-induced imaging changes). With the introduction of concomitant RT plus TMZ for treatment of malignant glioma, there appears to be an increasing incidence of pseudoprogression. Case Description In our experience, pseudoprogression after concomitant RT plus TMZ is typically not observed at first imaging immediately after completion of the therapy; but delayed focal enhancement mimicking tumor progression frequently occurs during the 6 months of maintenance therapy with TMZ. Pseudoprogression may reflect the radiosensitizing effect of TMZ during concomitant therapy, and retaining patients on treatment allows them to have enhanced survival and preserved quality of life. We observed 3 cases of pseudoprogression among 54 consecutive patients who were treated with this regimen. These patients developed pseudoprogression within 2 to 6 months after completion of concomitant RT plus TMZ, but all 3 patients completed maintenance chemotherapy and remained progression free for at least 15 months after diagnosis. Conclusion Functional imaging may improve the noninvasive diagnosis of pseudoprogression, but randomized prospective studies are needed to evaluate the real impact of pseudoprogression and validate neuroradiological techniques able to make a reliable distinction between tumor recurrence and pseudoprogression.
Tracers have been used extensively to study lactate metabolism in humans during rest and exercise. Nevertheless, quantification of in vivo lactate kinetics as measured by lactate tracers remains ...controversial and new data are necessary to clarify the issue. The present study has developed a simple kinetic model which does not require labelled molecules and which yields proportional and quantitative information on lactate metabolism in humans during postexercise recovery performed at different levels of intensity. Five subjects took part in six experiments each of which began with the same strenuous exercise (StrEx; 1 min, 385 W, 110 rpm). The StrEx of each session was followed by a different intensity of recovery: passive recovery (PR) and active recoveries (AR) with power outputs of 60, 90, 120, 150 and 180 W, respectively. Blood lactate concentration was measured prior to and immediately after StrEX and regularly during the 1st h of recovery. Oxygen uptake (VO2) was measured every 30 s during the whole session. The results showed that the disappearance rate constant (ke) increases abruptly from PR 0.080 (SEM 0.004) min-1 to moderate AR 60 W: 0.189 (SEM 0.039) min-1 and decreases slowly during more intense AR 180 W: 0.125 (SEM 0.027) min-1. The lactate apparent clearance (Cl.F-1) was calculated from the area under the lactate concentration-time curve. The Cl.F-1 increased 1.81 (SEM 0.17) fold from PR to moderate AR (60 W) and only 1.31 (SEM 0.14) from PR to the most intense AR (180 W). Using the model, the apparent lactate production (F"K0) was also calculated. The F"K0 increased regularly following a slightly curvilinear function of VO2 and was 2.61 (SEM 0.53) fold greater during the most intense AR (180 W) than during PR. Because of the lack of data concerning the size of apparent lactate distribution volume (Vd), the apparent turnover rate (Rbl) has been presented here related to Vd. The Rbl.Vd-1 increased also following a slightly curvilinear function of VO2. The Rbl.Vd-1 was 85.90 (SEM 14.42) mumol.min-1.l-1 during PR and reached 314.09 (SEM 153.95) mumol.min-1.l-1 during the most intense AR (180 W). In conclusion the model presented here does not require labelled molecules and firstly makes it possible to follow the proportional change of apparent lactate clearance and apparent lactate production during active postexercise recovery in comparison with passive recovery conditions and secondly to estimate the blood lactate turnover.
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