Micro-thin-layer chromatography in two-dimensional (2D-mTLC) mode in normal- (NP) and reversed-phase (RP) systems by use of cyanopropyl-bonded stationary phases was applied to make fingerprints of 11 species of Mentha genus and two finished pharmaceutical products. Non-aqueous eluents were used in the NP systems. Mixtures of acetonitrile with water and methanol with water were used in the RP chromatographic systems. Optimization of one-dimensional systems was performed by determining RM vs. composition of mobile phase dependencies for standards occurring in various Mentha sp. On the basis of these dependencies, the most selective chromatographic systems for each run were chosen. Then most selective eluents were applied to optimize two-dimensional systems by creating RF in NP systems vs. RF in RP systems correlations. The best two-dimensional systems were chosen on the basis of R(2) values for RF vs. RF correlations (the lowest values of R(2) coefficients). The 2D-mTLC optimized systems were applied to separate phenolic compounds and make fingerprints of the examined plant materials.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1093/chromsci/bmv093 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
National survey of financial burden and experience among patients with cancer and autoimmune disease receiving charitable copay assistance.
Cancer
January 2025
Fox Chase Cancer Center, Temple University Health System, Philadelphia, Pennsylvania, USA.
Background: Little is known about the role that charitable copay assistance (CPA) plays in addressing access to care and financial distress. The study sought to evaluate financial distress and experience with CPA among patients with cancer and autoimmune disease.
Methods: This is a national cross-sectional self-administered anonymous electronic survey conducted among recipients of CPA to cover the costs of a drug for cancer or autoimmune disease.
Cardiomeds, an mHealth App for Self-Management to Support Swiss Patients With Heart Failure: 2-Stage Mixed Methods Usability Study.
JMIR Form Res
January 2025
Department of Computer Science, University Hospital of Geneva, Geneva, Switzerland.
Background: Mobile health apps have shown promising results in improving self-management of several chronic diseases in patients. We have developed a mobile health app (Cardiomeds) dedicated to patients with heart failure (HF). This app includes an interactive medication list; daily self-monitoring of symptoms, weight, blood pressure, and heart rate; and educational information on HF delivered through various formats.
View Article and Find Full Text PDFLength of Hospital Stay and Its Predictions Among Patients With Exacerbations of Chronic Respiratory Diseases.
J Eval Clin Pract
February 2025
Department of Biopharmaceutics and Clinical Pharmacy, School of Pharmacy, University of Jordan, Amman, Jordan.
Background: Chronic respiratory disorders such as asthma and chronic obstructive pulmonary disease (COPD) may deteriorate into acute exacerbations requiring hospitalization. Assessing the predictors of prolonged hospital stays could help identify potential interventions to reduce the burden on patients and healthcare systems.
Aim: This study aimed to identify the risk factors attributed to prolonged hospital stays among patients admitted with acute exacerbations of chronic respiratory disorders in Jordan.
Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.
JAMA Cardiol
January 2025
Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois.
Importance: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Objective: To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs).
Nondestructive Mechanical Characterization of Bioengineered Tissues by Digital Holography.
ACS Biomater Sci Eng
January 2025
Mechanical Engineering Department, Worcester Polytechnic Institute, Worcester, Massachusetts 01609, United States.
Mechanical properties of engineered connective tissues are critical for their success, yet modern sensors that measure physical qualities of tissues for quality control are invasive and destructive. The goal of this work was to develop a noncontact, nondestructive method to measure mechanical attributes of engineered skin substitutes during production without disturbing the sterile culture packaging. We optimized a digital holographic vibrometry (DHV) system to measure the mechanical behavior of Apligraf living cellular skin substitute through the clear packaging in multiple conditions: resting on solid agar as when the tissue is shipped, on liquid media in which it is grown, and freely suspended in air as occurs when the media is removed for feeding.
View Article and Find Full Text PDFWant 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!