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We designed and implemented a photoacoustic (PA) sensor for HS detection in SF background gas based on a multi-pass differential photoacoustic cell (MDPC) and a near-infrared distributed feedback (DFB) laser. In the MDPC apparatus, two resonators with identical geometric parameters were vertically and symmetrically embedded. The differential processing algorithm of two phase-reversed signals realized the effective enhancement of the PA signal and suppressed the flow noise in the dynamic sampling process. In addition, the λ/4 buffer chamber in the MDPC was utilized as a muffler to further reduce the flow noise and realize the dynamic detection of HS. The collimated excitation light was reflected 30 times in a multi-pass structure constituted of two gold-plated concave mirrors, and an absorption path length of 4.92 m was achieved. Due to the high gas density of SF, the relationship between the signal-to-noise ratio (SNR) and the gas flow was different between SF and N background gases. The maximum flow rate of the characteristic gas components detected in the SF background is 150 standard cubic centimeters per minute (SCCM), which is lower than 350 SCCM in N. The linearity property was analyzed, and the results show that the sensitivity of the sensor to HS in the SF background was 27.3 μV/ppm. With the structure, parameters, temperature, gas flow, and natural frequency of the MDPC been optimized, a minimum detection limit (MDL) of 11 ppb was reached with an averaging time of 1000 s, which furnished an effective preventive implement for the safe operation of gas insulation equipment.
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http://dx.doi.org/10.1021/acs.analchem.3c00003 | DOI Listing |
Rice (N Y)
July 2025
Bioinformatics Facility, Center for Integrated BioSystems, Utah State University, Logan, UT, 84322, USA.
Rice is one of the most important staple crops, providing food for more than one-half of the world's population worldwide. Identifying the localization of encoded proteins is the key to understanding their functional characteristics and facilitating their purification. The prediction of protein localization experimentally is time-consuming due to the need for meticulous experimentation, validation, and data analysis; computational methods provide a quick and accurate alternative.
View Article and Find Full Text PDFEJNMMI Phys
May 2025
Department of Nuclear Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Center for Rare Diseases Research, Beijing Key Laboratory of Molecular Targeted Diagnosis and Therapy in Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Un
Background: This study evaluates the feasibility of using a simplified Patlak parametric imaging technique with a scaled population-based input function (sPBIF) in pancreatic cancer.
Methods: Twenty-six patients underwent multi-bed, multi-pass [F]FDG PET/CT scans, from which both dynamic and static PET images were reconstructed. Patlak parametric images were generated from the dynamic PET series using both the image-derived input function (IDIF) and the sPBIF.
Plant Genome
March 2025
Bioinformatics Facility, Center for Integrated BioSystems, Utah State University, Logan, Utah, USA.
The organization of subcellular components in a cell is critical for its function and studying cellular processes, protein-protein interactions, identifying potential drug targets, network analysis, and other systems biology mechanisms. Determining protein localization experimentally is time-consuming and expensive. Due to the need for meticulous experimentation, validation, and data analysis, computational methods provide a quick and accurate alternative.
View Article and Find Full Text PDFGas leak detection is one of the most vital issues in the mining and energy industries. Despite many highly specific and sensitive laser-based spectroscopic systems available on the market, the universal optical gas leak detector is still unattainable. In this paper we demonstrate the laser gas sensing setup capable of indirect detection of virtually any gas leaks using differential optical dispersion spectroscopy of oxygen near 761 nm.
View Article and Find Full Text PDFTrends Cell Biol
September 2025
Division of Biochemistry, The Netherlands Cancer Institute, Amsterdam, The Netherlands. Electronic address:
Glycosylphosphatidylinositol (GPI)-anchored proteins (APs) regulate numerous biological processes through interaction with signaling effectors at the cell surface. As a unique feature, GPI-APs can be released from their anchors by multi-pass GPI-specific phospholipases (types A2, C, and D) to impact signaling networks, phenotype, and cell fate; however, many questions remain outstanding. Here, we discuss and expand our current understanding of the distinct GPI-specific phospholipases, their substrates, effector pathways, and emerging physiological roles, with a focus on the six-transmembrane ecto-phospholipases GDE2 (GDPD5) and GDE3 (GDPD2).
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