JOURNAL OF DRUG DELIVERY SCIENCE AND TECHNOLOGY
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2023
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IF 5
Lixue Ma,Zhaohua Li,Jiancheng Fei,Mo Li,Bingyang Liu,Baocheng Tian,Yanhua Liu,Qiang Fu
Nanocrystals (NCs) are considered as an effective strategy for the formulation of intravenous injections for poorly water-soluble drugs, despite they are metastable dispersions. Typically, stabilizers are essential for the maintenance of physical stability, and they are important compositions for NCs. However, whether the stabilizers have impacts on the in vivo behaviors of NCs after intravenous injection are unknown. In this study, three meloxicam NCs (MLXNCs) were each formulated with a different steric stabilizer (PEG 400, lecithin and PVP-K17). The developed MLXNC PEG , MLXNC Lec and MLXNC PVP all had particle size of about 250 nm and shared the same crystal form. All three formulations had similar pharmacokinetic profiles and therapeutic efficacy, with no statistically significant differences. Overall results provided evidence that stabilizers have negligible effects on the in vivo behaviors of intravenous NCs and stress the importance of physical stability for formulation development.
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高影响因子
Food Bioscience
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2022
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IF 5.318
Fangwei Yang,Cheng Wang,Hang Yu,Yahui Guo,Yuliang Cheng,Weirong Yao,Yunfei Xie
The risk of the illegal addition of anti-inflammatory and analgesic chemical drugs in anti-rheumatic health foods should not be ignored. Market supervision and rapid on-site detection technology need to be strengthened. Thin-layer chromatography-surface-enhanced Raman spectroscopy (TLC-SERS), which has the advantages of simple operation, fast separation, and qualitative and quantitative detection, was used in this study. And these eleven chemical drugs (acetaminophen, acetylsalicylic acid, aminophenazone, dexamethasone , diclofenac sodium , hydrocortisone, indometacin, naproxen, phenylbutazone, piroxicam , prednisone 21-acetate) that may be added to anti-rheumatic health foods have been simultaneously identified by TLC-SERS combined with chemometrics method. The characteristic signals of the separated drug spots were collected by SERS, which were optimized by the gold colloidal nanoparticles' volume and integration time. Then SERS was subjected to principal component analysis (PCA) to reduce dimensionality and combined with the pattern recognition methods in chemometrics, such as PCA-Linear Discriminant Analysis (LDA), PCA-K Nearest Neighbor and PCA-Support Vector Machine, and eleven drug components were judged and identified. Moreover, the predictive performances of different models were also analyzed and compared. The results showed that the TLC plate and four organic solvents of petroleum ether, chloroform , ethyl acetate and acetic acid were selected as the developing agent. The dropping amount of gold colloidal nanoparticles and the integration time were set and optimized. The limit of detection of the simultaneous detection method of SERS was 10–100 mg/L. Furthermore, SERS was preprocessed by Gap-Segment 2nd Derivative, and then the PCA-LDA model was established, and the model's prediction accuracy can reach 100%. The method is simple, rapid, sensitive and accurate, and has low experimental instruments and equipment requirements. It is suitable for the on-site simultaneous detection of various anti-inflammatory and analgesic chemical drugs in health foods. It can also provide guarantee and support for the establishment of appropriate rapid detection methods and the development of supervision technology.
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高影响因子
ACS Sensors
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2025
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IF 9.1
Lian Xu,Yan Xiao,Kun Yu,Hongshuo Pan,Jiayi Xu,Yiyun Guan,Mengke Wang,Xiangyu Xu,Hao Wang
The improper application of nonsteroidal anti-inflammatory drugs (NSAIDs) presents significant health hazards via vector food contamination. A critical limitation of these traditional existing approaches is their inability to concurrently discern and distinguish among diverse NSAIDs, presenting a notable gap in the analytical capabilities within this domain. Herein, a creative dual-channel fluorescence sensor array was developed for the rapid discrimination and determination of NSAIDs, utilizing complexes of cucurbit[8]uril (CB[8]) with three distinct modified poly(ethylenimines) (PEIs) to address this challenge. The array successfully differentiated and identified 19 NSAIDs with 97% accuracy at a concentration of 1 mM. In addition, it also achieved analyses of individual NSAIDs across a range of concentrations, NSAID mixtures, and impurities of aspirin using statistical analysis methods. More importantly, the approach effectively detected NSAIDs in complex matrices, such as milk and urine, demonstrating its potential for real-world applications.
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PubMed
高影响因子
CARBOHYDRATE POLYMERS
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2018
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IF 5.158
Yu Chen,Xiaoting Yan,Jian Zhao,Huaiyu Feng,Puwang Li,Zongrui Tong,Ziming Yang,Sidong Li,Jueying Yang,Shaohua Jin
In the current study, a novel semi-dissolution/acidification/sol-gel transition (SD-A-SGT) method was explored for the preparation of polyelectrolyte complexing (PEC) composite hydrogels with natural polymers only. A chitosan (CS) powder was uniformly dispersed in a solution of poly(glutamic acid) (PGA) and alginate (SA) to form a semi-dissolved slurry mixture that was then exposed to an gaseous acidic atmosphere. CS was gradually dissolved and interacted with PGA and SA to form a CS/PGA/SA PEC composite hydrogel with a homogeneous structure. The SD-A-SGT procedure was able to overcome the shortcomings of direct mixing method via the PEC interaction. The effects of the hydrogel composition on its structure and properties were investigated by FTIR, XRD, rheology study, XPS, SEM, and swelling kinetics. The drug delivery performance of the CS/PGA/SA hydrogel was explored using piroxicam (PXC) as a model drug. PXC was in situ embedded in the hydrogel by the SD-A-SGT method. The hydrogel exhibited pH responsive drug release behaviors that were affected by the hydrogel composition. In all, the SD-A-SGT method for preparing PEC composite hydrogels has a great application potential in constructing the CS based hydrogels as medical materials.
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PubMed
高影响因子
CRYSTAL GROWTH & DESIGN
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2025
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IF 3.4
Nanjun Chen,Zichen Ning,Zhuoshan Gong,Limin Zhou,Li Xu,Feiqiang He,Zhi Gao,Jerry Y. Y. Heng,Shichao Du,Jinbo Ouyang
Modulating the luminescent characteristics of solid materials via the multicomponent crystallization process to form cocrystals and hydrates poses a formidable and significant challenge. In this study, we demonstrated the aggregation-induced emission characteristics of piroxicam and synthesized four distinct cocrystals using salicylic acid, m-chlorobenzoic acid, saccharin, and 1-hydroxy-2-naphthalenecarboxylic acid as coformers. We comprehensively characterized the crystal structures and luminescent properties of these cocrystals using powder X-ray diffractometer, fluorescence microscopy, and fluorescence spectrophotometry. Moreover, the relationship between the crystal structure and fluorescence properties was established through theoretical analyses, including the calculation of intermolecular interactions, the distribution of frontier orbitals obtained based on density functional theory, and the electron density distribution derived from molecular electrostatic potential calculations. Additionally, we synthesized a novel piroxicam hydrate that exhibits a reversible fluorescence switching effect in response to acidic, basic, and thermal stimuli upon absorbing, eliminating, or replacing water molecules within the lattice, which renders it suitable for application in thermal and pH sensors, as well as information encryption. Overall, this approach offers a promising framework for precisely tuning the fluorescent properties of AIE molecules through the hydration and dehydration processes of organic crystals.
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高影响因子
危险品化学品经营许可证（带存储）