Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Cationic polyacrylamide (CPAM) emulsifier is widely applied in the wastewater treatment industry, mining industry, paper industry, cosmetic chemistry, etc. However, optimization of input parameters in the synthesis of CPAM by using the traditional approach (i.e., changing one factor while leaving the others fixed at a particular set of conditions) would require a long time and a high cost of input materials. Onsite mass production of CPAM requires fast optimization of input parameters (i.e., stirring speed, reaction temperature and time, the amount of initiator, etc.) to minimize the production cost of specific-molecular-weight CPAM. Therefore, in this study, we synthesized CPAM using reverse emulsion copolymerization, and proposed response surface models for predicting the average molecular weight and reaction yield based on those input parameters. This study offers a time-saving tool for onsite mass production of specific-molecular-weight CPAM. Based on our response surface models, we obtained the optimal conditions for the synthesis of CPAM emulsions, which yielded medium-molecular-weight polymers and high conversion, with a reaction temperature of 60-62 °C, stirring speed of 2500-2600 rpm, and reaction time of 7 h. Quadratic models showed a good fit for predicting molecular weight (Adj.R = 0.9888, coefficient of variation = 2.08%) and reaction yield (Adj.R = 0.9982, coefficient of variation = 0.50%). The models suggested by our study would benefit the cost-minimization of CPAM mass production, where one could find optimal conditions for synthesizing different molecular weights of CPAM more quickly than via the traditional approach.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316886PMC
http://dx.doi.org/10.3390/polym14142866DOI Listing

Publication Analysis

Top Keywords

input parameters
12
mass production
12
cpam
9
cationic polyacrylamide
8
optimization input
8
synthesis cpam
8
cpam traditional
8
traditional approach
8
onsite mass
8
stirring speed
8

Similar Publications

Accurate prediction of time-varying dynamic parameters during the milling process is a prerequisite for chatter-free cutting of thin-walled parts. In this paper, a matrix iterative prediction method based on weighted parameters is proposed for the time-varying structural modes during the milling of thin-walled blade structures. The thin-walled blade finite element model is established based on the 4-node plate element, and the time-varying dynamic parameters of the workpiece during the cutting process can be obtained by modifying the thickness of the nodes through the constructed mesh element finite element model It is not necessary to re-divide the mesh elements of the thin-walled parts at each cutting position, thus improving the calculation efficiency of the dynamic parameters of the workpiece.

View Article and Find Full Text PDF

In this paper, we propose a novel framework, Combo, for harmonious co-speech holistic 3D human motion generation and efficient customizable adaption. In particular, we identify that one fundamental challenge as the multiple-input-multiple-output (MIMO) nature of the generative model of interest. More concretely, on the input end, the model typically consumes both speech signals and character guidance (e.

View Article and Find Full Text PDF

AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study.

JMIR Form Res

September 2025

Department of Critical Care Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, No. 106, Zhongshaner Rd, Guangzhou, 510080, China, 86 15920151904.

Background: Point-of-care ultrasonography has become a valuable tool for assessing diaphragmatic function in critically ill patients receiving invasive mechanical ventilation. However, conventional diaphragm ultrasound assessment remains highly operator-dependent and subjective. Previous research introduced automatic measurement of diaphragmatic excursion and velocity using 2D speckle-tracking technology.

View Article and Find Full Text PDF

Optimal Dosage Characteristics of Recasting for Developmental Language Disorder: A Scoping Review.

J Speech Lang Hear Res

September 2025

School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, Australia.

Purpose: The purpose of this scoping review was to map and summarize currently available evidence about optimal dosage of recasting for developmental language disorder (DLD).

Method: A systematic search of databases was completed, including Web of Science, Medline via OvidSP, PsycINFO, Cochrane Library, and Scopus. The inclusion criteria comprised the involvement of DLD intervention, the use of recasting alone or predominantly, and systematic manipulation of one or more dosage characteristics of recasting with the remaining parameters consistent across groups.

View Article and Find Full Text PDF

Purpose: Develop a musculoskeletal-environment interaction model to reconstruct the dynamic-interaction process in skiing.

Methods: This study established a skier-ski-snow interaction (SSSI) model that integrated a 3D full-body musculoskeletal model, a flexible ski model, a ski boot model, a ski-snow contact model, and an air resistance model. An experimental method was developed to collect kinematic and kinetic data using IMUs, GPS, and plantar pressure measurement insoles, which were cost-effective and capable of capturing motion in large-scale field conditions.

View Article and Find Full Text PDF