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We describe the stacking and separation of d- and l-aspartic acid (Asp) by capillary electrophoresis (CE) with light-emitting diode-induced fluorescence detection (LEDIF). In the presence of cyanide, d- and l-Asp were derivatized with naphthalene-2,3-dicarboxaldehyde (NDA) to form fluorescent derivatives prior to CE-LEDIF. The separation of NDA-derivatized d- and l-Asp was accomplished using a discontinuous system - buffer vials contained a solution of 0.6% poly(ethylene oxide) (PEO), 150 mM sodium dodecyl sulfate (SDS), and 60mM hydroxypropyl-β-cyclodextrin (Hp-β-CD), while a capillary was filled with a solution of 150 mM SDS and 60mM Hp-β-CD. The role of PEO, Hp-β-CD, and SDS is to act as a concentrating media, as a chiral selector, and as a pseudostationary phase, respectively. This discontinuous system could be employed for the stacking of 600 nL of NDA-derivatized d- and l-Asp without the loss of chiral resolution. The stacking mechanism is mainly based on the difference in viscosity between sample zone and PEO as well as SDS sweeping. The limits of detection at signal-to-noise of 3 for d- and l-Asp were down to 2.4 and 2.5 × 10(-10)M, respectively. Compared to normal sample injection volume (25 nL), this stacking approach provided a 100- and 110-fold improvement in the sensitivity of d- and l-Asp, respectively. This method was further applied for determining d- and l-Asp in cerebrospinal fluid, soymilk, and beer.
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http://dx.doi.org/10.1016/j.talanta.2010.08.009 | DOI Listing |
J Neurosci Methods
September 2025
Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, United States of America.
Background: The Medtronic Percept™ PC and RC are deep brain stimulation (DBS) systems with recording capability. However, when the stimulation frequency is changed, the recordings were segmented, introducing interruptions that shift each segment in the time domain.
New Method: Ex-vivo, stimulation frequency was changed while local field potential was being recorded in both leads.
Non-muscle-invasive bladder cancer (NMIBC) is common and heterogeneous, requiring risk-adapted therapeutic strategies. BCG remains standard for intermediate- and high-risk forms, but its effectiveness is influenced by limited access, variable tolerance, treatment resistance, and healthcare system disruptions. Material and This retrospective study aimed to identify prognostic factors for survival with an additional assessment of the influence of the COVID-19 pandemic.
View Article and Find Full Text PDFChaos
September 2025
Department of Condensed Matter Physics, University of Zaragoza, 50009 Zaragoza, Spain.
Human behaviors in social systems are often shaped by group pressure and collective norms, especially since the rise of social media platforms. However, in the context of adopting misbehaviors, most existing contagion models rely on pairwise interactions and thus fail to capture group-level dynamics. To fill this gap, we introduce a higher-order extension of the honesty-corruption-ostracism model to study the emergence of systemic corruption in populations where individuals interact through group structures.
View Article and Find Full Text PDFJ Biomed Opt
December 2025
The University of Western Australia, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands and Centre for Medical Research, BRITElab, Perth, Western Australia, Australia.
Significance: Optical coherence elastography (OCE) is an emerging technique for mapping tissue mechanical properties into an image, known as an elastogram, with microscale resolution. Although system characterization phantoms are widely used in OCE development, there is a critical need for tissue-mimicking phantoms that can more accurately replicate the complex structural and mechanical properties of tissues, particularly for validating clinical applications, such as in breast cancer.
Aim: We aim to investigate the effects of tissue-like structures on elastogram formation in a controlled environment by developing and characterizing two types of breast tissue-mimicking phantoms, replicating invasive ductal carcinoma (IDC) morphology and the other mimicking breast ductal networks.
Front Neural Circuits
September 2025
Laboratory of Brain and Intelligence, Tsinghua University, Beijing, China.
Synaptic plasticity underlies adaptive learning in neural systems, offering a biologically plausible framework for reward-driven learning. However, a question remains: how can plasticity rules achieve robustness and effectiveness comparable to error backpropagation? In this study, we introduce Reward-Optimized Stochastic Release Plasticity (RSRP), a learning framework where synaptic release is modeled as a parameterized distribution. Utilizing natural gradient estimation, we derive a synaptic plasticity learning rule that effectively adapts to maximize reward signals.
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