High-field electron paramagnetic resonance (EPR) measurements are indispensable for a better understanding of dynamic nuclear polarization (DNP), which relies on polarization transfer between electron and nuclear spins. DNP experiments are typically performed at high > 7 T magnetic fields and low ≤ 100 K temperatures, while EPR instrumentation capable of EPR measurements under these conditions is scarce. In this paper, we describe the CW EPR capabilities of a dual DNP/EPR spectrometer that is designed to carry out EPR experiments under "DNP conditions" at 14 and 7 T. In the first part, we present the design of this instrument, highlighting the choices made to allow for both DNP and EPR operations. The spectrometer uses a sweepable cryogen-free magnet with NMR-grade homogeneity, a closed-cycle cooling system, a quasi-optical induction mode bridge, and a superheterodyne receiver system. The probe design is optimized for low heat load and fast sample exchange under cryogenic conditions. The spectrometer can operate in frequency and field sweep modes, including wide field sweeps using the main coil of the magnet. In the second part, we present EPR spectra acquired over a wide range of samples and operating conditions, illustrating the CW EPR capabilities of the instrument.
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http://dx.doi.org/10.1016/j.jmr.2024.107635 | DOI Listing |
Anal Bioanal Chem
December 2024
College of Pharmacy, Key Laboratory of Innovative Drug Development and Evaluation, Hebei Medical University, Shijiazhuang, 050017, China.
The abnormal expression of acetylcholinesterase (AChE) is linked to the development of various diseases. Accurate determination of AChE activity as well as screening AChE inhibitors (AChEIs) holds paramount importance for early diagnosis and treatment of AChE-related diseases. Herein, a fluorescent and colorimetric dual-channel probe based on gold nanoclusters (AuNCs) and manganese dioxide nanosheets (MnO NSs) was developed.
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December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
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December 2024
Chongqing Jianzhu College, Chongqing, 400072, China.
Prefabricated construction involves manufacturing components in a factory and then transporting them to a construction site for assembly, yielding resource savings and improved efficiency. However, the large size and weight of prefabricated components, along with strict delivery requirements, introduce logistical challenges, such as increased carbon emissions during transport and site congestion. This study addresses the dual-objective vehicle scheduling problem for prefabricated components.
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December 2024
Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, PO Box 5800, 6202 AZ Maastricht, the Netherlands; Mental Health and Sciences (MHeNs) Research Institute, Maastricht University, PO Box 616, 6200 MD Maastricht, the Netherlands.
Objectives: Photon-counting detector CT (PCD-CT) is expected to substantially improve and expand CT-imaging applicability due to its intrinsic spectral capabilities, increased spatial resolution, reduced electronic noise, and improved image contrast. The current study aim is to evaluate PCD-CT efficacy in characterizing bullets based on their dimensions, shape, and material composition.
Materials And Methods: This is an observational phantom study examining 11 unfired, intact bullets of various common calibers, placed in ballistic gelatin.
Biosens Bioelectron
December 2024
Department of Life Sciences, Università Degli Studi di Modena e Reggio Emilia, Via Campi 103, Modena, 41125, Italy; Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia (CTNSC), Via Fossato di Mortara 17-19, Ferrara, 44121, Italy.
According to the Food and Agriculture Organization of the United Nations (FAO) more than 14% of the world's food production is lost every year before reaching retail, and another 17% is lost during the retail stage. The use of the expiration date as the main estimator of the life-end of food products creates unjustified food waste. Sensors capable of quantifying the effective food freshness and quality could substantially reduce food waste and enable more effective management of the food chain.
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