Granule formation from drop impact on a powder bed can occur by either Tunneling or Spreading/Crater Formation. The governing regime can be specified by the experimentally determined modified Bond number (Bo(g)*), which is a ratio of the capillary force to the gravitational force acting on a particle. It was hypothesized that Tunneling would occur when the capillary and surface tension forces exceeded the weight of a powder aggregate in contact with the drop. To confirm this hypothesis, force balances were derived for a drop in contact with a single particle and separately for a drop in contact with an aggregate to predict when a particle or aggregate will be sucked into the drop. The force ratios derived for each case were compared to the Bo(g)* force ratio used in a previously published regime map that separates Tunneling from Spreading/Crater Formation. The force balance model correctly predicts the trends of the impact of powder and liquid properties on the governing regime. However, the single particle model does not quantitatively predict the critical Bond number for regime change in Tunneling. The aggregate model gave a better prediction of the Tunneling boundary than the single particle model, but it still under predicts the experimentally determined Tunneling criterion given by the Bond number. Potential reasons for this discrepancy are discussed.
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http://dx.doi.org/10.1016/j.jcis.2012.10.038 | DOI Listing |
Int J Biol Macromol
January 2025
Environmenal Research and Innovation (ERIN) department, Luxembourg Institute of Science and Technology (LIST), 5 avenue des Hauts Fourneaux, L4362 Esch-sur-Alzette, Luxembourg. Electronic address:
This study reports on the influence of lactic acid fermentation on the proteomic and peptidomic profiles of spirulina protein isolate (SPI)-fortified, freeze-dried powders containing living Lacticaseibacillus rhamnosus GG (LGG) cells during in vitro digestion. For comparison, powders fortified with whey protein isolate (WPI) and pea protein isolate (PPI) were also evaluated. Prior to freeze-drying, the powder precursors were either non-treated or fermented.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Civil Engineering, National Institute of Technology Karnataka, Surathkal 575025, India.
Existing mortar uses self-healing powders that are based on mineral admixtures, whose reactive nature negatively impacts bacterial viability and diminishes their effectiveness over time. This study aims to develop non-reactive, sustainable biochar-based healing powders with extended bacterial viability to serve as self-healing admixture in bio-mortar. Biochar from coconut husk, coconut shell, and coconut leaf petiole was evaluated for compatibility with Bacillus pumilus RSB17, emphasizing bacterial growth and calcium carbonate precipitation.
View Article and Find Full Text PDFNanoscale Adv
January 2025
Synthetic Organic Chemistry Laboratory, Department of Chemistry, MLSU Udaipur-313001 Rajasthan India
Catalysis plays a vital role in green chemistry by improving process efficiency, reducing waste, and minimizing environmental impact. A biochar-modified g-CN·SOH (BCNSA) catalyst was developed using biochar derived from amla seed powder and CNSA. CNSA was synthesized the reaction of g-CN with chlorosulfonic acid.
View Article and Find Full Text PDFOpen Res Afr
January 2025
International Institute of Tropical Agriculture (IITA-Benin), Abomey-Calavi, 08 BP 0932, Benin.
Background: Lesne (Coleoptera: Bostrichidae) is the main pest of stored dried yam chips that causes significant losses in less than 3 months. The assassin bug, (Montrouzier & Signoret) (Hemiptera: Reduviidae) and the African mahogany ( (Desv.) A.
View Article and Find Full Text PDFJ Pharm Biomed Anal
January 2025
Institute of Chemistry, University of Silesia in Katowice, 9 Szkolna Street, Katowice 40-006, Poland; SPIN-Lab Centre for Microscopic Studies on Matter, University of Silesia in Katowice, 75 Pulku Piechoty Street 1, Chorzow 41-500, Poland. Electronic address:
Near-infrared hyperspectral imaging (NIR-HSI) integrated with expert systems can support the monitoring of active pharmaceutical ingredients (APIs) and provide effective quality control of tablet formulations. However, existing quality control methods usually test a limited number of variability sources affecting the final product. This study examines the potential of NIR-HSI (in the spectral range of 935.
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