In this study, we established a comprehensive high-performance liquid chromatography coupled with diode array detection and high-resolution mass spectrometry method to identify 10 and quantified eight constituents in Corydalis Decumbentis Rhizoma ("Xiatianwu" in Chinese) and Corydalis Rhizoma ("Yanhusuo" in Chinese). Chemometric methods were applied to distinguish the botanical origins of the Xiatianwu and Yanhusuo samples. Chromatographic separation was achieved using an Agilent Poroshell EC-C column with mobile phases A (1000 ml of 0.2% acetic acid solution containing 2.8 ml of triethylamine) and B (acetonitrile) and stepwise gradient elution. The analytical method was fully validated in terms of linearity, sensitivity, intra- and interday precision and repeatability, the limit of detection, the limit of quantitation, and recovery. Twenty-six Xiatianwu samples and 10 Yanhusuo samples were analyzed for quality evaluation. In addition, hierarchical clustering analysis and principal component analysis were used to discriminate among samples of different botanical origins. The results showed that the contents of eight alkaloids in Xiatianwu and Yanhusuo were significantly different. Moreover, it was found that chemometric methods could be applied to accurately distinguish these two often conflated Chinese medicinal materials. In conclusion, this study provides a relatively comprehensive method for botanical origin identification and Xiatianwu and Yanhusuo quality control.
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http://dx.doi.org/10.1002/jssc.202200259 | DOI Listing |
Eur J Pharm Biopharm
January 2025
Background: Given the challenges of pediatric antibacterial therapy, it is crucial to formulate antibiotics with a lower potential for interaction with dietary interventions and tailor them for optimal administration in children. Chemometric methods allow us to analyze multiple interrelated variables simultaneously and uncover correlations.
Aim: We applied a chemometric approach to examine how food, beverages, antacids, and mineral supplements affect antibiotic bioavailability in adults and children, aiming to explore relationships between antibiotic structure, physicochemical properties, and post-meal changes in pharmacokinetic (PK) parameters.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
School of Food Science and Engineering, Hainan University, Haikou 570228 PR China; Hainan Institute for Food Control, Key Laboratory of Tropical Fruits and Vegetables Quality and Safety for State Market Regulation, Haikou 570314 PR China. Electronic address:
NIR spectroscopy is widely used in chemical analysis, agricultural science, food safety, and other fields, but its high dimensionality and data redundancy bring analytical challenges. This study aims to compare the performance of different wavelength selection methods in NIR spectral datasets with different dimensionalities to provide a reference for researchers. The wavelength selection methods in this study were classified into four categories according to their principles, which are partial least squares (PLS) parameter-based methods, intelligent optimization algorithms (IOA)-based methods, model population analysis (MPA)-based methods and wavelength interval selection (WIS) methods.
View Article and Find Full Text PDFAdv Mater
January 2025
Hunan Key Laboratory of Two-Dimensional Materials, State Key Laboratory for Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, Hunan, 410082, China.
The exchange bias (EB) effect is a fundamental magnetic phenomenon, in which the exchange bias field/coercive field ratio (|H/H|) can improve the stability of spintronic devices. Two-dimensional (2D) magnetic heterostructures have the potential to construct low-power and high-density spintronic devices, while their typically air unstable and |H/H| lesser, limiting the possibility of applications. Here, 2D CrTe nanosheets have been systematically synthesized with an in situ formed ≈2 nm-thick Te doped CrO layer (Te-CrO) on the upper surface by chemical vapor deposition (CVD) method.
View Article and Find Full Text PDFActa Biomater
January 2025
Shanghai Institute of virology, Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, PR China; Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, PR China; Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan 410082, PR China. Electronic address:
Aptamers and aptamer-drug conjugates (ApDCs) have shown some success as targeted therapies in cancer theranostics. However, their stability in complex media and their capacity to evade lysosomal breakdown still need improvement. To address these challenges, we herein developed a one-step self-assembly strategy to improve the stability of aptamers or ApDCs, while simultaneously enhancing their delivery performance and therapeutic efficiency through a lysosome-independent pathway.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
Department of Bioresource Engineering, McGill University, Macdonald Campus, 21111 Lakeshore Road, Ste-Anne-de-Bellevue, QC H9X 3V9, Canada.
This study aims to develop rapid and non-invasive methods based on near-infrared hyperspectral imaging and chemometrics for quantitative prediction of chemical compositions of pea-derived products. Hyperspectral imaging was used to acquire images from pea processing streams, namely pea flour, pea protein concentrate, and pea protein isolate. The PLS algorithm was used to develop quantitative prediction models based on the relationship between the hyperspectral image data and the chemical compositions of the pea products, including moisture, protein, ash, insoluble fiber, and total starch.
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