An important but virtually ignored 1978 paper by Reeves and co-workers, which examined a dye-OAc hydrolysis and then agglomeration system, is reanalyzed in light of current state of knowledge of nucleation and growth/agglomeration phenomena. The Finke-Watzky two-step mechanism is used to account quantitatively for the kinetics data, in turn providing deconvolution of dye hydrolysis and nucleation of agglomerative growth, from the agglomerative growth step, including their separate rate constants. Significantly, the effects of microfiltration of the removable dust on the two steps and their rate constants are uncovered and quantitated for the first time, including the finding that the presence of dust accelerates both steps by ca. 10-fold or more. A postulated minimum mechanism able to account for all the observed results is provided. The results allow the excellently designed and executed, now nearly 40-years old, classic studies of Reeves and co-workers to be placed in its proper position in history, while at the same time providing six insights and conclusions detailed in the Discussion and Conclusions sections of the paper.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jpca.7b06648DOI Listing

Publication Analysis

Top Keywords

agglomerative growth
12
agglomeration system
8
reeves co-workers
8
mechanism account
8
rate constants
8
classic azo-dye
4
azo-dye agglomeration
4
system evidence
4
evidence slow
4
slow continuous
4

Similar Publications

Dry evergreen Afromontane forests are severely threatened due to the expansion of agriculture and overgrazing by livestock. The objective of this study was to investigate the composition of woody species, structure, regeneration status and plant communities in Seqela forest, as well as the relationship between plant community types and environmental variables. Systematic sampling was used to collect vegetation and environmental data from 52 (20 m x 20 m) (400 m2) plots.

View Article and Find Full Text PDF

Over the last few decades, advancements in process safety and quality methods have been significantly improved, yet new challenges continue to emerge in the sustainable food supply chain. This study aimed to investigate some physicochemical and microbiological parameters impacting meat products, particularly cooked sausages, within a sustainable supply chain, focusing on quality, spoilage populations, and syneresis formation under vacuum conditions. A comprehensive analysis was conducted on 355 samples collected over four seasons using high-throughput sequencing (16S/ITS) and microbiological and physicochemical [pH and water activity (a)] assessments.

View Article and Find Full Text PDF
Article Synopsis
  • Researchers are investigating potential biomarker signatures in serum and cerebrospinal fluid to better diagnose and categorize different types of migraines (episodic and chronic) since there are currently no known biomarkers for migraine.
  • The study identified key proteins that distinguish migraine patients from healthy controls, with a classification model achieving high sensitivity and specificity for diagnosing migraines.
  • Findings show that certain proteins, like ZFP-814 and CACNA1F, are linked to migraine persistence and may serve as indicators for treatment responses in migraine patients.
View Article and Find Full Text PDF

This study investigated the effects of certain roselle ( Linnaeus) extraction methods on various functional properties, including the antioxidant and antiglycation capacities and bacterial growth inhibition. Roselle anthocyanins were extracted using water and ethanol solvents at different temperatures and concentrations. The results revealed that the extraction rate increased with higher temperatures and ethanol concentrations ( < 0.

View Article and Find Full Text PDF

The Evolution of Artificial Intelligence in Biomedicine: Bibliometric Analysis.

JMIR AI

December 2023

Department of Computer Science, Dartmouth College, Hanover, NH, United States.

Background: The utilization of artificial intelligence (AI) technologies in the biomedical field has attracted increasing attention in recent decades. Studying how past AI technologies have found their way into medicine over time can help to predict which current (and future) AI technologies have the potential to be utilized in medicine in the coming years, thereby providing a helpful reference for future research directions.

Objective: The aim of this study was to predict the future trend of AI technologies used in different biomedical domains based on past trends of related technologies and biomedical domains.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!