A technological process for production of a sorbent based on the mycelial waste of penicillin manufacture was developed. The process and its parameters are described. The exploitation conditions determine whether a strong sorbent with low sorption properties or a sorbent with higher sorption properties and lower granule strength is prepared.
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Angew Chem Int Ed Engl
January 2025
University of Limerick, Chemical Sciences, IRELAND.
Guest transport through discrete voids (closed pores) in crystalline solids is poorly understood. Herein, we report the gas sorption properties of a nonporous coordination network, [Co(bib)2Cl2]n·2MeOH (sql-bib-Co-Cl-α), featuring square lattice (sql) topology and the bent linker 1,3-bis(1H-imidazol-1-yl)benzene (bib). The as-synthesized sql-bib-Co-Cl-α has 11.
View Article and Find Full Text PDFSci Rep
January 2025
School of Chemistry and Chemical Engineering, Heze University, Heze, 274015, People's Republic of China.
A novel adsorbent ZnAl-LDHs/SiO (ZA/SiO) was prepared by blending urea mixture of ZnSO and Al(SO) while using SiO as a support form. The adsorption properties of ZA/SiO for the removal of toxic metal ions (Cu(II) and Cr(VI)) from water were evaluated. By batch experiment method to investigate the ZA/SiO adsorption of Cu(II) and Cr(VI) solution treatment effect.
View Article and Find Full Text PDFJ Food Sci
January 2025
Department of Chemistry, University of Isfahan, Isfahan, Iran.
Quercetin, a key flavonoid found in many fruits and vegetables, offers notable health benefits, including antioxidant, antiviral, and antitumor properties. Yet, isolating it from complex plant materials is challenging. This research aimed to develop a selective and efficient sorbent to clean up real sample matrices and pre-concentrate quercetin, enhancing its detection using high-performance liquid chromatography (HPLC).
View Article and Find Full Text PDFEnviron Pollut
January 2025
Departamento de Agronomia e Ciências Florestais, Universidade Federal Rural do Semi-Árido, Mossoró, AV. Francisco Mota, 572 - Pres. Costa E Silva, RN, Mossoró, 59625-900, Rio Grande do Norte, Brazil. Electronic address:
Generally, herbicides used in Brazil follow manufacturer's recommendations, which often do not consider soil attributes. Statistical models that include the physicochemical properties of the soil involved in herbicide retention processes could enable greater precision in herbicide dose decision-making. This study evaluated the potential of artificial neural networks (ANNs) to predict the sorption and desorption of the herbicide linuron in Brazilian soils with different attributes.
View Article and Find Full Text PDFEnviron Pollut
January 2025
School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. Electronic address:
The soils/sediments organic carbon sorption coefficient (K) of organic substances is one of the indispensable environmental behavioral parameters in chemicals management. Because the test procedure used to measure K is normally expensive and time-consuming, predictive methods are considered vitally important technology to fill the data gap of K. In this study, quantitative structure-property relationship (QSPR) models are developed using a data set with 1477 experimental logK values and seven typical machine learning algorithms.
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