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| http://dx.doi.org/10.1371/journal.pbio.3001104 | DOI Listing |
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Potential risk factors of protein aggregation in syringe handling during antibody drug dilution for intravenous administration.
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Protein aggregation, a major concern in biopharmaceutical quality control, can be accelerated by various stresses during clinical handling. This study investigated potential aggregation risk factors during dilution process with syringe handling for intravenous administration. Using γ-globulin and IgG solutions as surrogate models of antibody therapeutics, we examined the effects of high sliding speeds and piston operations of the syringe on protein aggregation during saline dilution.
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International Research Center for Renewable Energy (IRCRE), State Key Laboratory of Multiphase Flow in Power Engineering (MFPE), Xi'an Jiaotong University (XJTU), Xi'an 710049 PR China.
Graphitic carbon nitride (g-CN) has been regarded as highly potential photocatalyst for solar energy utilization. However, the restricted absorption of visible light for pristine g-CN significantly limits the solar-light-driven chemical reaction efficiency. Herein, structurally distorted g-CN nanosheets with awakened n-π* electron transition were successfully synthesized through hexamethylenetetramine (HMTA)-involved supercritical CO (scCO) treatment and following pyrolysis of melamine precursor.
View Article and Find Full Text PDFQuantification of Through-Space Intervalence Charge Transfer in Cofacial Thiazolothiazole Metal-Organic Framework and Its Photochromic Behavior.
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School of Chemistry, Indian Institute of Science Education and Research Thiruvananthapuram, Thiruvananthapuram, Kerala 695551, India.
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Programa de Posgrado en Odontología, Universidad de Costa Rica, Ciudad Universitaria Rodrigo Facio, San Jose 11501-2060, Costa Rica.
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Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period.
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In the construction industry, ensuring the proper installation, retention, and dismantling of temporary structures, such as jack supports, is critical to maintaining safety and project timelines. However, inconsistencies between on-site data and construction documentation remain a significant challenge. To address this, this study proposes an integrated monitoring framework that combines computer vision-based object detection and document recognition techniques.
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