Several procedures are available for simulating and optimising separations in ion chromatography (IC), based on the application of retention models to an extensive database of analyte retention times on a wide range of columns. These procedures are subject to errors arising from batch-to-batch variability in the synthesis of stationary phases, or when using a column having a different diameter to that used when the database was acquired originally. Approaches are described in which the retention database can be recalibrated to accommodate changes in the stationary phase (ion-exchange selectivity coefficient and ion-exchange capacity) or in the column diameter which lead to changes in phase ratio. The entire database can be recalibrated for all analytes on a particular column by performing three isocratic separations with two analyte ions. The retention data so obtained are then used to derive a "porting" equation which is employed to generate the required simulated separation. Accurate prediction of retention times is demonstrated for both anions and cations on 2mm and 0.4mm diameter columns under elution conditions which consist of up to five sequential isocratic or linear gradient elution steps. The proposed approach gives average errors in retention time prediction of less than 3% and the correlation coefficient was 0.9849 between predicted and observed retention times for 344 data points comprising 33 anionic or cationic analytes, 5 column internal diameters and 8 complex elution profiles.
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http://dx.doi.org/10.1016/j.chroma.2011.06.050 | DOI Listing |
Alzheimers Dement
December 2024
University of Southern California, San Diego, USA.
Background: Recruitment of demographically diverse participants into Alzheimer's disease (AD) clinical trials, encompassing both screening and randomization, remains a consistent and persistent challenge contributing to underrepresentation of certain groups. Despite the exciting prospects of identifying therapeutic interventions for biomarker-eligible, cognitively unimpaired individuals, these studies grapple with the inherent complexities of AD trials coupled with intricate and time-consuming screening processes. Addressing this the issue of underrepresentation necessitates concerted and intentional efforts that prioritize inclusivity and equitable access to enroll adults meeting study criteria, reflecting the demographic and social diversity of North America.
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December 2024
Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Background: Recruiting and retaining older adults for clinical trials is challenging, especially in low-resource settings. Such challenges led to a systematic exclusion of such participants from clinical trials, compromising the generalizability of the results obtained in high income countries.
Objective: Here we describe the strategies we used in the PROAME study for recruiting and retaining illiterate older adults from low socioeconomical levels in a non-pharmacological trial.
Alzheimers Dement
December 2024
University of Kansas Medical Center, Kansas City, KS, USA.
Background: Evidence in adults without Down syndrome (DS) suggests that exercise during mid-life improves cognitive function and decreases risk of later life dementia. Studies supporting this relationship in adults with DS are limited. The purpose of this study was to examine changes in cognitive function after a 12-mo exercise intervention in adults with DS without dementia.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Iowa, Iowa City, IA, USA.
Background: Nursing home (NH) residents with dementia commonly experience mealtime behaviors that negatively impact nutrition and function. Residents do not receive person-centered mealtime care (PCMC) due to multilevel factors one prioritized modifiable factor is lack of effective PCMC programs. This study aimed to develop a PCMC program and test its feasibility, acceptability, usefulness and preliminary efficacy.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.
Background: Majority of people living worldwide live in low- and middle- income countries, including sub-Saharan Africa (SSA). Most cognitive assessment batteries for Alzheimer's Disease(AD), are developed in high income countries (HICs), where most international dementia collaborations and data originate. The African Dementia Consortium (AfDC) is a new scientific collaboration network currently participating in the Recruitment and Retention for Alzheimer's Disease Diversity Genetic Cohorts in the Alzheimer's Disease Sequencing Project (READD-ADSP).
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