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Methods: We present data with all participants of patient, relatives and control groups who were not missing any of the observed variables from 15 putative endophentotypic measures (schizophrenia probands N=97, nonpsychotic siblings N=186, and community comparison subjects (CCS) N=243). We conducted factor analyses on the putative endophenotypes including 12 neuropsychological measures of working memory, declarative memory, vigilance, spatial ability, abstract reasoning, face emotion processing, motor speed, as well as3 psychophysiological measures of presumed inhibitory processing including P50, Prepulse inhibition (PPI) and antisaccade (AS) tasks. Our factor extraction method was maximum likelihood, and the rotation method was Varimax with Kaiser Normalization.
Results: Analyses yielded a four-factor solution. Of note, the 3 psychophysiological measures correlated relatively weakly with the factors, with P50 having a negligible factor loading. Only the AS task correlated substantially with the factors, with a maximum loading of .415 on the visual-spatial and abstraction factor. Motor speed was also weakly correlated with a maximum loading of .366. Thus, the four factors were largely cognitive, and they included: 1) visual-spatial and abstract reasoning, 2) memory, 3) processing speed, and 4) working memory.
Discussion: The factor structure of 15 putative endophenotypes was derived from 526 subjects in the COGS-1 dataset. Four cognitive factors, consisting of visual-spatial and abstract reasoning, memory, processing speed, and working memory were extracted, which were largely unrelated to two of the psychophysiological measures (P50 and PPI) or motor measures. The AS task loaded moderately on the visual-perceptual and abstract reasoning factor and thus has a stronger association than do the other psychophysiological measures with higher cognitive functions. This is consistent with a model distinguishing putative endophenotypes on the basis of controlled versus more automatic processing. These data support the use of a battery of endophenotypic measures covering a number of domains. Future analyses will evaluate the similarities and differences between the factor structure in patients, siblings and controls, and measure the association between these factors and genetic data collected in COGS.
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Resume : We present a highly sensitive plasmonic sensing approach in Kretschmann configuration that additionally includes dielectric features from Fresnel reflections and combines multiple sensitive features of the reflectance curve by multivariate analysis. The sensor consists of periodic gold nanostructures, which are integrated into a microfluidic chamber composed of several dielectric layers. We operate the sensor at single wavelength with angular scan using a p-polarized HeNe laser. The excitation of the whole device in Kretschmann configuration leads to complex multiple plasmonic resonances, generally with localized surface plasmon resonances, plasmonic surface lattice resonances, and resonances related with the evanescent field beyond total internal reflection. Additionally, characteristic features generated due to Fresnel reflections from the stack of different dielectric interfaces of the whole sensing device, including a microfluidic chamber, contribute in a sensitive way to the sensing performance. These dielectric features can be exploited additionally as sensitive sensing characteristics with respect to refractive index changes of the analyte under test. The increased number of features obtained from the plasmonic response together with the multiple reflections at the dielectric interfaces reveal strongly enhanced sensing capabilities when we combine them as input for multivariate analysis. By mathematically including a variety of characteristic features of the reflectance curve, the analytical sensitivity and the sensor resolution are improved by 200% and 23%, respectively; moreover, the prediction error is reduced by around 38% compared to a standard plasmonic sensor based on a continuous gold layer.
Resume : The interest to luminescent colloidal semiconductor nanocrystals, quantum dots (QDs), is highly motivated by their potential application in bioanalytical chemistry ranging from biomedical imaging to biosensing. In particular, photoluminescence (PL) of water soluble QDs has been found to be pH-dependent, suggesting applications in which QDs serve as pH sensors. The AgInS2 QDs both show high PL quantum yield and comprise of low-toxic elements that is especially important for the in vivo bio-imaging. In this work, the results of investigations of optical properties of the AgInS2/ZnS core-shell QDs synthesized in aqueous media in the presence of glutathione and dispersed in buffer solutions of different pH (3.0-9.0) are presented. The PL spectra of the QDs showed a wide PL band peaked at about 585 nm. It was characterized by the Stokes shift of 0.7 eV and ascribed to carrier recombination via the levels of intrinsic defects in the QDs. In the PL excitation spectra, an absorption edge shifted to longer wavelengths as the detection wavelength increased. Simultaneously, the PL relaxation times increased from 280 ns to 880 ns with increasing detection wavelength from 510 to 760 nm. These changes were ascribed mainly to variation of QDs in size. The PL characteristics of the QDs dispersed in buffer solutions varied with pH value. As the pH changed from 3.0 to 9.0, the PL intensity increased by 5 times and the PL band shifted to shorter wavelengths. The largest shift of about 35 nm occurred when pH changed from 3.0 to 4.0. These changes were ascribed to dissociation of ligands from the ZnS outer shell in acidic buffer, resulting in aggregation of QDs and loss of their solubility. The pH dependent increase of PL intensity was accompanied by the increase of PL relaxation times. The effect magnitude depended on the detection wavelength. In particular, the relaxation time increased from 56 ns to 360 ns at 550 nm and remained unchanged at 760 nm. It is proposed that glutathione-capped AgInS2/ZnS QDs may be used as a new type of fluorescence ratiometric pH-sensor or indicator.
Resume : Due to enormous increase in industrial activities, toxic metallic pollutants such as As, Pb, Cd and Hg have gained worldwide concern due to their deleterious environmental and biological effects. These heavy metals are non-biodegradable and can easily attach with the food chain of the environment which later puts severe threat to human health. Due to fatal consequences of these pollutants in public health, many organizations have determined the maximum permissible amount of the ions in food, drinking water, blood, etc. Based on the Environmental Protection Agency (EPA), the safety limits of mercury, lead, cadmium and arsenic in drinking water are 2, 15, 5 and 10 parts per billion (ppb) respectively. The repletion of Hg2+ in human body can cause ailments in vital organs, disorders in the nucleic acid function, defects in the immune system, and even death. It is a very challenging task to detect As3+ ions in the presence of other contaminants in water. Hence development of accurate and sensitive analytical techniques for effective monitoring and accurate measurement of these toxic ions are getting considerable attention worldwide. Conventional analytical techniques such as AAS/AES, ICP-MS, ASV are time consuming, requires expensive equipment and incur complex measuring procedures. Alternatively, several sensors have been developed for the detection of As3+ ion, such as colorimetric, fluorescent, electrochemical, and surface-enhanced Raman scattering. Despite these advancements, novel sensors with simple operation, low cost, portable analytical platform for user friendly analysis are still needed. In this work, curcumin functionalized zinc oxide nanorods (Cur-ZnO) were used as an electrical sensing platform for highly selective and sensitive As3+ detection. Zinc oxide nanorods were synthesized using solvothermal approach and attachment of curcumin to ZnO nanrods were obtained through an in-situ approach. Field emission scanning electron microscopy (FESEM), High resolution transmission electron microscopy (HRTEM), X-ray diffraction (XRD) and Ultraviolet-visible (UV-Vis) absorbance analysis were done to confirm the attachment of curcumin sheets to ZnO nanorods. The sensing platform was fabricated in a novel staggered gate-field effect transistor (SG-FET) configuration with Cur-ZnO as the sensing layer. A high-k dielectric (hafnium oxide) was used as gate dielectric and aluminium was used as gate metal. The sensor performance towards As3+ was investigated electrically in presence of other competitive contaminants. The sensor was found to be highly selective towards As3+ in presence of Pb2+, Hg2+,Cd2+, Na+ and Cu2+. The interaction of As3+ ions with the sensing layer was also studied using UV-Vis and PL spectrophotometer. The sensitivity of the sensor was seen to improve by tuning the gate voltage. Our work suggests that Cur-ZnO based staggered gate-field effect transistor (SG-FET) are promising towards development of low-cost, portable and real-time room temperature heavy metal ion detectors. 2ff7e9595c
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