Universal quantitative models using NIR reflectance spectroscopy were developed for the analysis of API contents (active pharmaceutical ingredient) in roxithromycin and erythromycin ethylsuccinate tablets from different manufacturers in China. The two quantitative models were built from 78 batches of roxithromycin samples from 18 different manufacturers with the API content range from 19.5% to 73.9%, and 66 batches erythromycin ethylsuccinate tablets from 36 manufacturers with the API content range from 28.1% to 70.9%. Three different spectrometers were used for model construction in order to have robust and universal models. The root mean square errors of cross validation (RMSECV) and the root mean square errors of prediction (RMSEP) of the model for roxithromycin tablets were 1.84% and 1.45%, respectively. The values of RMSECV and RMSEP of the model for erythromycin ethylsuccinate tablets were 2.31% and 2.16%, respectively. Based on the ICH guidelines and characteristics of NIR spectroscopy, the quantitative models were then evaluated in terms of specificity, linearity, accuracy, precision, robustness and model transferability. Our study has shown that it is feasible to build a universal quantitative model for quick analysis of pharmaceutical products from different manufacturers. Therefore, the NIR method could be used as an effective method for quick, non-destructive inspection of medicines in the distribution channels or open market.
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http://dx.doi.org/10.1016/j.jpba.2005.11.027 | DOI Listing |
Adv Clin Exp Med
January 2025
Educational and Scientific Center (ESC) "Institute of Biology and Medicine", Taras Shevchenko National University of Kyiv, Ukraine.
Background: The search for early and minimally invasive diagnostic approaches to pancreatic cancer (PC) remains an important issue. One of the most promising directions is to find a sensitive key in the metabolic changes during widespread causes of PC, i.e.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai, Maharashtra, 400076, India.
Stabilizing large easy-axis type magnetic anisotropy in molecular complexes is a challenging task, yet it is crucial for the development of information storage devices and applications in molecular spintronics. Achieving this requires a deep understanding of electronic structure and the relationships between structure and properties to develop magneto-structural correlations that are currently unexplored in the literature. Herein, a series of five-coordinate distorted square pyramidal Co complexes [Co(L)(X)].
View Article and Find Full Text PDFHeliyon
January 2025
School of Molecular Sciences, Arizona State University, Tempe, AZ, 85287, USA.
Cellular forces regulate an untold spectrum of living processes, such as cell migration, gene expression, and ion conduction. However, a quantitative description of mechanical control remains elusive due to the lack of general, live-cell tools to measure discrete forces between biomolecules. Here we introduce a computational pipeline for force measurement that leverages well-defined, tunable release of a mechanically activated small molecule fluorophore.
View Article and Find Full Text PDFJ Hepatocell Carcinoma
January 2025
School of Medicine, University of Electronic Science and Technology, Sichuan, China.
Objective: This study aimed to investigate how dynamic contrast-enhanced CT imaging signs correlate with the differentiation grade and microvascular invasion (MVI) of hepatocellular carcinoma (HCC), and to assess their predictive value for MVI when combined with clinical characteristics.
Methods: We conducted a retrospective analysis of clinical data from 232 patients diagnosed with HCC at our hospital between 2021 and 2022. All patients underwent preoperative enhanced CT scans, laboratory tests, and postoperative pathological examinations.
Clin Interv Aging
January 2025
Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.
Purpose: This study aims to identify self-management behavior profiles in multimorbid patients, and explore how workload, capacity, and their interactions influence these profiles.
Patients And Methods: A sequential explanatory mixed-methods design was employed. In the quantitative phase (August 2022 to May 2023), data were collected from 1,920 multimorbid patients across nine healthcare facilities in Zhejiang Province.
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