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| http://dx.doi.org/10.1016/j.xinn.2022.100276 | DOI Listing |
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A glovebox-integrated confocal microscope for quantum sensing in inert atmosphere.
Rev Sci Instrum
January 2025
Department Spins in Energy Conversion and Quantum Information Science (ASPIN), Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Hahn-Meitner-Platz 1, 14109 Berlin, Germany.
Confocal microscopy is an invaluable tool for studying fluorescent materials and finds a wide application in biology and in quantum sensing. Usually, these experiments are performed under ambient conditions, but many materials are air sensitive (for example, black phosphorus) and degrade quickly under the strong laser irradiance. Here, we present a glovebox-integrated confocal microscope designed for nitrogen-vacancy (NV) center-based nano-scale sensing and NMR spectroscopy in an inert gas atmosphere.
View Article and Find Full Text PDFEffect of an Electronic Pill Bottle on Hydroxychloroquine Adherence in Pediatric Lupus: Results of a Novel Direct-to-Family Pilot Trial.
ACR Open Rheumatol
January 2025
Duke University and Duke Clinical Research Institute, Durham, North Carolina.
Objective: The objective of this study was to evaluate the preliminary effectiveness of an electronic pill bottle with automated reminders on hydroxychloroquine (HCQ) adherence in children with pediatric systemic lupus erythematosus (pSLE).
Methods: This was a self-controlled, open label, direct-to-family pilot trial. Children with pSLE treated with HCQ were recruited from the Childhood Arthritis and Rheumatology Research Alliance Registry.
Facile synthesis of plasmonic BP@Au nanomatrix for sensitive detection of irinotecan and its active SN-38 metabolite via laser desorption/ionization mass spectrometry.
Mikrochim Acta
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Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou, 215123, Jiangsu, China.
A new methodology is presented for the rapid, specific, and sensitive detection of irinotecan (CPT-11), a chemotherapeutic agent utilized in the treatment of cancer, along with its metabolically active derivative, SN-38, via laser desorption/ionization mass spectrometry (LDI MS). The method includes the detection of camptothecin (CPT), which can be utilized as an internal standard for the quantitative assessment of both CPT-11 and SN-38 in mouse serum. The approach utilizes a plasmonic two-dimensional (2D) black phosphorus nanosheet (BPN)-gold nanomatrix (BP@Au) in LDI MS.
View Article and Find Full Text PDFOral Opportunistic Infection Induced by Stress and Silent Type 2 Diabetes Mellitus in Young Adult Patient: A Case Report.
Int Med Case Rep J
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Department of Oral Medicine, Faculty of Dentistry, Universitas Padjadjaran, Bandung, Indonesia.
Introduction: Opportunistic infections (IO) are infections of microbiota (fungi, viruses, bacteria, or parasites) that generally do not cause disease but turn into pathogens when the body's defense system is compromised. This can be triggered by various factors, one of which is due to a weakened immune system due to Diabetes Mellitus (DM), which increases the occurrence of opportunistic infections, especially in the oral cavity. Fungal (oral candidiasis) and viral (recurrent intraoral herpes) infections can occur in the oral cavity of DM patients.
View Article and Find Full Text PDFNIRFluor: A Deep Learning Platform for Rapid Screening of Small Molecule Near-Infrared Fluorophores with Desired Optical Properties.
Anal Chem
January 2025
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Small molecule near-infrared (NIR) fluorophores play a critical role in disease diagnosis and early detection of various markers in living organisms. To accelerate their development and design, a deep learning platform, NIRFluor, was established to rapidly screen small molecule NIR fluorophores with the desired optical properties. The core component of NIRFluor is a state-of-the-art deep learning model trained on 5179 experimental big data.
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