Objective: To compare the contents of iridoid in the different processed products from Gardenia jasminoides.
Method: Contents of geniposide and genipin gentiobioside in products were determined simultaneously by HPLC. A kromasil C18 column at 35 degrees C was used with the acetonitrile-0.3% formic acid anhydrous (12:88) as the mobile phrase. The detection wavelength was set at 238 nm and the flow rate was 1.0 mL x min(-1).
Result: The obtained linearity of the two components was good with that the relative coefficients (r) were over 0.9994 and the average recoveries were 101.8%, 99.1%, respectively.
Conclusion: The method is simple, accurate with good reproducibility. The results showed contents of two components are difference in the different processed products.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
An Automated Clinical Laboratory Decision Support System for Test Utilization, Medical Necessity Verification and Payment Processing.
Interact J Med Res
January 2025
University of California, San Francisco, Department of Laboratory Medicine, San Francisco, US.
Physicians could improve the efficiency of the healthcare system if a reliable resource were available to aid them in better understanding, selecting, and interpreting the diagnostic laboratory tests. It has been well established and widely recognized that (a) laboratory testing provides 70-85% of the objective data that physicians use in diagnosis and treatment of their patients, (b) orders for laboratory tests in the U.S.
View Article and Find Full Text PDFAccelerating the Future of Oncology Drug Development: The Role of Consortia in the Delivery of Precision Oncology Early Phase Clinical Trials.
J Clin Oncol
January 2025
The Kinghorn Cancer Centre, St Vincent's Hospital, Sydney, NSW, Australia.
Purpose: Over the past 15 years, the landscape of early phase clinical trials (EPCTs) has undergone a remarkable expansion in both quantity and intricacy. The proliferation of sites, trials, sponsors, and contract research organizations has surged exponentially, marking a significant shift in research conduct. However, EPCT operations suffer from numerous inefficiencies, such as cumbersome start-up processes, which are particularly critical when drug safety and the recommended phase II dose need to be established in a timely manner.
View Article and Find Full Text PDFThe chromatin remodeler ADNP regulates neurodevelopmental disorder risk genes and neocortical neurogenesis.
Proc Natl Acad Sci U S A
January 2025
Regenerative Medicine Program, Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6.
Although chromatin remodelers are among the most important risk genes associated with neurodevelopmental disorders (NDDs), the roles of these complexes during brain development are in many cases unclear. Here, we focused on the recently discovered ChAHP chromatin remodeling complex. The zinc finger and homeodomain transcription factor ADNP is a core subunit of this complex, and de novo mutations lead to intellectual disability and autism spectrum disorder.
View Article and Find Full Text PDFUnravelling the transcriptomic dynamics of Hyphopichia pseudoburtonii in co-culture with Botrytis cinerea.
PLoS One
January 2025
South African Grape and Wine Research Institute, Stellenbosch University, Stellenbosch, South Africa.
Hyphopichia pseudoburtonii, is emerging as a potential biocontrol agent against various phytopathogens. These traits have been attributed to the production of various antifungal compounds in the presence of target pathogens. However, the broad molecular mechanisms involved in the antifungal activity are not yet understood.
View Article and Find Full Text PDFPredictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning.
J Med Syst
January 2025
Department of Computing, University of North Florida, 1 UNF Dr., Jacksonville, 32246, FL, USA.
The "no-show" problem in healthcare refers to the prevalent phenomenon where patients schedule appointments with healthcare providers but fail to attend them without prior cancellation or rescheduling. In addressing this issue, our study delves into a multivariate analysis over a five-year period involving 21,969 patients. Our study introduces a predictive model framework that offers a holistic approach to managing the no-show problem in healthcare, incorporating elements into the objective function that address not only the accurate prediction of no-shows but also the management of service capacity, overbooking, and idle resource allocation resulting from mispredictions.
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!