The present study has investigated the influence of the filtration step of the liquid-liquid extraction (LLE) on the quantitative analysis of di-n-butyl phthalate (DnBP) in the wastewater treatment system of the University of Caxias do Sul (WWTS-UCS). During five months, five wastewater samples from the inflow and outflow points were collected and submitted to LLE with and without the filtration step. The organic extracts were analyzed by Gas Chromatography with Flame Ionization Detection (GC/FID). The DnBP removal in the filtered samples was 36%, and the median DnBP concentration at the outflow point was 17.45 μg/mL. For the unfiltered samples, the DnBP removal was 39%, and the median DnBP concentration at the outflow point was 21.45 μg/mL. According to these results, an important fraction of the contaminant is retained in the LLE filtration step leading to considerable errors in the quantification of the target compounds.
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http://dx.doi.org/10.1080/10934529.2011.535426 | DOI Listing |
Biotechnol Prog
January 2025
Biologics Technology Research Laboratories, Biologics Division, Daiichi Sankyo Co., Ltd, Oura-gun, Gunma, Japan.
Virus removal by filtration is a crucial step in ensuring the safety of therapeutic antibodies and other biopharmaceutical products by mitigating the risk of endogenous and adventitious viral contamination. However, there are monoclonal antibodies (mAb) that are difficult to filter effectively using virus removal filters (i.e.
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January 2025
Faculty of Health, College of Pharmacy, Dalhousie University, Halifax, NS, Canada.
Background: Diabetes is the leading cause of kidney disease and contributes to 38% of kidney failure requiring dialysis. A gap in detection and management of type 2 diabetes (T2D) in chronic kidney disease (CKD) exists in primary care. Community pharmacists are positioned to support those not able to access kidney care through traditional pathways.
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View Article and Find Full Text PDFSci Rep
January 2025
Biotechnology Research Center, Technology Innovation Institute, P.O. Box 9639, Abu Dhabi, United Arab Emirates.
The problem of protein structure determination is usually solved by X-ray crystallography. Several in silico deep learning methods have been developed to overcome the high attrition rate, cost of experiments and extensive trial-and-error settings, for predicting the crystallization propensities of proteins based on their sequences. In this work, we benchmark the power of open protein language models (PLMs) through the TRILL platform, a be-spoke framework democratizing the usage of PLMs for the task of predicting crystallization propensities of proteins.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
College of Engineering, China Agricultural University, Beijing 100083, China. Electronic address:
Bacteriocins, naturally derived antimicrobial peptides, are considered promising alternatives to traditional preservatives and antibiotics, particularly in food and medical applications. Despite extensive research on various bacteriocins, cyclic varieties remain understudied. This study introduces Gassericin GA-3.
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