We describe a new approach to multiplex detection for HPLC, exploiting parallel segmented outlet flow - a new column technology that provides pressure-regulated control of eluate flow through multiple outlet channels, which minimises the additional dead volume associated with conventional post-column flow splitting. Using three detectors: one UV-absorbance and two chemiluminescence systems (tris(2,2'-bipyridine)ruthenium(III) and permanganate), we examine the relative responses for six opium poppy (Papaver somniferum) alkaloids under conventional and multiplexed conditions, where approximately 30% of the eluate was distributed to each detector and the remaining solution directed to a collection vessel. The parallel segmented outlet flow mode of operation offers advantages in terms of solvent consumption, waste generation, total analysis time and solute band volume when applying multiple detectors to HPLC, but the manner in which each detection system is influenced by changes in solute concentration and solution flow rates must be carefully considered.
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http://dx.doi.org/10.1016/j.aca.2013.04.014 | DOI Listing |
Biomimetics (Basel)
December 2024
College of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
The body structures and motion stability of worm-like and snake-like robots have garnered significant research interest. Recently, innovative serial-parallel hybrid segmented robots have emerged as a fundamental platform for a wide range of motion modes. To address the hyper-redundancy characteristics of these hybrid structures, we propose a novel caterpillar-inspired Stable Segment Update (SSU) gait generation approach, establishing a unified framework for multi-segment robot gait generation.
View Article and Find Full Text PDFMidwifery
December 2024
Department of Epidemiology & Biostatistics, West Virginia University, Morgantown, WV, USA.
Background: Physical activity is recommended during pregnancy, and high sedentary behavior and poor sleep may increase the risk of pregnancy complications. Activity patterns and sleep were negatively impacted by the COVID pandemic in many segments of the population, but the impact of the pandemic on pregnant people is understudied. We aimed to compare patterns of physical activity, sedentary time, and sleep during pregnancy between a pre-COVID and a COVID-era cohort.
View Article and Find Full Text PDFJ Chem Theory Comput
December 2024
Zernike Institute for Advanced Materials, University of Groningen, Nijenborgh 3, 9747 AG Groningen, The Netherlands.
We present the implementation of the time-domain multichromophoric fluorescence resonant energy transfer (TC-MCFRET) approach in the numerical integration of the Schrödinger equation (NISE) program. This method enables the efficient simulation of incoherent energy transfer between distinct segments within large and complex molecular systems, such as photosynthetic complexes. Our approach incorporates a segmentation protocol to divide these systems into manageable components and a modified thermal correction to ensure detailed balance.
View Article and Find Full Text PDFCereb Cortex
December 2024
Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, 6363 Alvarado Ct., San Diego, CA 92120, United States.
Middle-aged and older adults with autism spectrum disorder may be susceptible to accelerated neurobiological changes in striato- and thalamo-cortical tracts due to combined effects of typical aging and existing disparities present from early neurodevelopment. Using magnetic resonance imaging, we employed diffusion-weighted imaging and automated tract-segmentation to explore striato- and thalamo-cortical tract microstructure and volume differences between autistic (n = 29) and typical comparison (n = 33) adults (40 to 70 years old). Fractional anisotropy, mean diffusivity, and tract volumes were measured for 14 striato-cortical and 12 thalamo-cortical tract bundles.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Computer Science and Technology, Xinzhou Normal University, Xinzhou, China.
In semantic image segmentation tasks, most methods fail to fully use the characteristics of different scales and levels but rather directly perform upsampling. This may cause some effective information to be mistaken for redundant information and discarded, which in turn causes object segmentation confusion. As a convolutional layer deepens, the loss of spatial detail information makes the segmentation effect achieved at the object boundary insufficiently accurate.
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