Journal of pharmaceutical sciences最新文献_第7页

Augmenting the cytotoxicity and apoptosis induction of green synthesized copper oxide nanoparticles from Artemisia sieberi by combining with tamoxifen: Mechanism involving Bax/Bcl-2 modulation 他莫昔芬联合青蒿绿色合成氧化铜纳米颗粒增强细胞毒性和诱导凋亡：Bax/Bcl-2调节机制

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-23 DOI: 10.1016/j.xphs.2025.104143

Saeed Seghatoleslami , Mohammadreza Pourmohammad , Homa Mahmoudzadeh , Jina Khayatzadeh

Treatment of breast cancer is severely hindered by dose-limiting toxicity and acquired Tamoxifen (Tam) resistance. This study investigated the synergistic anti-cancer effect and molecular mechanism of green-synthesized Copper Oxide Nanoparticles (CuO NPs) when combined with Tam against the MCF−7 human breast cancer cell line. CuO NPs were successfully produced using an aqueous extract of Artemisia sieberi as a dual reducing/capping agent. Characterization confirmed the formation of stable nanoparticles, evidenced by a Surface Plasmon Resonance (SPR) peak at 552 nm, an average size of ∼36 nm (TEM), and excellent colloidal stability with a highly negative Zeta Potential (-33.5 mV). The MTT assay demonstrated that the combination regimen exhibited a strong synergistic cytotoxic effect (CI<1) toward MCF−7 cells. Synergy was achieved even at low concentrations, such as 15.0 μg/mL CuO NPs:1.0 μM Tam (CI=0.99), with the most potent synergy (CI=0.69) observed at the maximum dose. Quantitative analysis via Annexin V/PI flow cytometry confirmed this enhancement, showing the combination reduced the viable cell population to a minimal 4.87 %. Mechanistically, RT−qPCR analysis revealed a maximal perturbation of the mitochondrial apoptotic pathway. The combined treatment simultaneously maximized the up-regulation of the pro-apoptotic gene BAX and the down-regulation of the anti-apoptotic gene BCL−2. This synergistic action resulted in a 16.74-fold increase in the critical BAX/BCL−2 ratio, approximately two times greater than either monotherapy. These findings validate CuO NPs co-administration with Tamoxifen as a promising strategy for overcoming acquired Tamoxifen resistance.

剂量限制性毒性和获得性他莫昔芬（Tam）耐药性严重阻碍了乳腺癌的治疗。本研究探讨了绿色合成的氧化铜纳米颗粒（CuO NPs）与Tam联合对MCF-7人乳腺癌细胞系的协同抗癌作用及其分子机制。采用青蒿水提物作为双还原/封盖剂，成功制备了CuO NPs。表征证实形成了稳定的纳米颗粒，表面等离子体共振（SPR）峰位于552 nm，平均尺寸为~ 36 nm (TEM)，具有优异的胶体稳定性，具有高度负的Zeta电位（-33.5 mV）。MTT试验表明，联合用药方案具有较强的协同细胞毒作用（CI）

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引用次数: 0

A pharmaceutical developability perspective on antibodies with ultra-long CDRs 超长cdr抗体的药物开发前景。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-23 DOI: 10.1016/j.xphs.2025.104142

Marcel Passon , Stefaan De Smedt , Hristo L. Svilenov

Antibodies with ultralong complementarity-determining regions (ulCDRs) have unique antigen-binding features with considerable potential for biomedical applications. Despite this potential, their stability and developability remain largely unexplored from a pharmaceutical perspective. Here, we present a systematic analysis of Fab fragments containing ulCDRs using assays for therapeutic antibody candidate selection. Fluorescence- and light-scattering-based analyses across a broad pH range revealed that ulCDR Fabs exhibit good thermal stability and minimal aggregation. Furthermore, we used relative solubility measurements and light scattering to evaluate the colloidal stability of the Fabs and identified the ulCDR as a key determinant of weak self-association. In addition, stress and storage studies demonstrated that ulCDR Fabs maintain high stability under mechanical stress and at elevated temperature. The results show that ulCDR Fabs display overall favorable physical stability. At the same time, colloidal properties governed by weak ulCDR-driven self-interactions represent the main factor likely to differentiate individual antibodies within this class.

具有超长互补决定区（ulcdr）的抗体具有独特的抗原结合特性，在生物医学应用中具有相当大的潜力。尽管有这种潜力，但从药学的角度来看，它们的稳定性和可发展性在很大程度上仍未得到探索。在这里，我们提出了包含ulCDRs的Fab片段的系统分析，使用检测方法进行治疗性候选抗体的选择。基于荧光和光散射的分析显示，在广泛的pH范围内，ulCDR晶圆片表现出良好的热稳定性和最小的聚集。此外，我们使用相对溶解度测量和光散射来评估fab的胶体稳定性，并确定ulCDR是弱自缔合的关键决定因素。此外，应力和存储研究表明，ulCDR晶圆片在机械应力和高温下保持高稳定性。结果表明，ulCDR晶圆片整体具有良好的物理稳定性。与此同时，由弱ulcdr驱动的自相互作用控制的胶体特性代表了这类抗体中可能区分个体抗体的主要因素。

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引用次数: 0

Can an absorptive sink improve the predictivity of biomimetic two-stage dissolution testing? Comparative IVIVC of various formulations of the poorly soluble drug emodepside 吸收池能否提高仿生两阶段溶出试验的预测性：不同配方难溶性药物emodepide的IVIVC比较。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-23 DOI: 10.1016/j.xphs.2025.104144

Jakob Tobias Lynnerup , Tim Lillotte , Dennis Oversohl , Maximilian Feldmueller , Annette Bauer-Brandl , Martin Brandl , Uwe Münster , Maximilian Karl

Drug release from four different formulations of the poorly soluble drug emodepside was determined in absence and presence of an absorptive sink (absorptive compartment separated by a barrier) by analyzing both molecularly dissolved and apparently dissolved drug concentrations in parallel. To this end, microdialysis and in situ 2nd derivative UV spectroscopy were employed. Two dose strengths each were investigated of crystalline conventional release tablets, pH-dependent hydroxypropyl methylcellulose acetate succinate-based amorphous solid dispersion (ASD) tablets, pH-independent polyvinylpyrrolidone vinyl acetate ASD tablets, and a polyethylene glycol 400 (PEG₄₀₀)-based oral solution. The presence of the absorptive sink did significantly increase the (molecularly dissolved) supersaturation in the case of the PEG₄₀₀-based oral solution as compared to previously published dissolution data while the supersaturation enhancement caused by the absorptive sink for the other formulations was moderate to marginal. This indicates that, for different formulation types, the dynamic interplay between dissolution, supersaturation, colloid-association, and precipitation is captured better by combined dissolution-permeation. Furthermore, the predictive potential of combined dissolution-permeation testing compared to mere dissolution testing was evaluated. The extent and duration of both molecular and apparent dissolution were compared to human plasma concentration time curves to establish in vitro in vivo correlation (IVIVC). Likewise, the initial flux as well as cumulative amount permeated across the PAMPA barrier of the dissolution-permeation assays were compared to human plasma concentration time curves to establish IVIVCs. While apparent dissolution yielded poor IVIVC, both molecular dissolution and dissolution-permeation yielded good and comparable IVIVCs. Finally, a refined mechanistic understanding is derived from the aforementioned dissolution and dissolution-permeation data to explain the observed differences.

通过平行分析分子溶解和表面溶解药物浓度，确定了四种不同配方的难溶性药物emodepside在没有和存在吸收池（由屏障隔开的吸收室）的情况下的药物释放。为此，采用微透析和原位二阶导数紫外光谱。研究了结晶型常规缓释片、ph依赖型羟丙基醋酸甲基纤维素琥珀酸酯非晶固体分散体（ASD）片、ph依赖型聚乙烯吡咯烷酮醋酸乙烯酯ASD片和聚乙二醇400 （PEG400）口服液的两种剂量强度。与先前公布的溶解数据相比，吸收池的存在确实显著增加了peg400为基础的口服溶液的（分子溶解的）过饱和，而其他配方的吸收池引起的过饱和增强是中等到边际的。这表明，对于不同的配方类型，溶解-渗透组合可以更好地捕获溶解、过饱和、胶体结合和沉淀之间的动态相互作用。此外，比较了溶出-渗透联合试验与单纯溶出试验的预测潜力。将分子溶出和表观溶出的程度和持续时间与人血药浓度时间曲线进行比较，建立体外体内相关性（IVIVC）。同样，将溶出-渗透试验的初始通量和通过PAMPA屏障的累积量与人血浆浓度时间曲线进行比较，以建立ivivc。虽然表观溶出产生较差的IVIVC，但分子溶出和溶出-渗透产生良好且相当的IVIVC。最后，从上述溶解和溶解渗透数据中得出了一个精细的机制理解，以解释观察到的差异。

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引用次数: 0

Excipient substitution in botulinum toxin type A formulations: Insights from multi-scale in silico modelling A型肉毒杆菌毒素配方中的赋形剂替代：来自多尺度硅模型的见解。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-21 DOI: 10.1016/j.xphs.2025.104138

Eqram Rahman , Alain Michon , Parinitha Rao , John H Joseph , Woffles T L Wu , Jean D A Carruthers , William Richard Webb

Botulinum neurotoxin type A (BoNT/A) formulations differ mainly in excipients, which determine stability, aggregation, and diffusion. Using multi-scale in silico modelling (AesthetiSIM™), we evaluated excipient substitution across six marketed products. The 150 kDa neurotoxin backbone showed lower RMSD (3.6 ± 0.4 Å) than the 900 kDa complex (4.8 ± 0.6 Å, p = 0.019). Among excipients, trehalose formed 23.1 ± 2.7 hydrogen bonds and −106 ± 6 kcal/mol interaction energy, outperforming sucrose (19.8 ± 2.5 bonds, −93 ± 5 kcal/mol) and lactose (9.6 ± 1.8 bonds, −74 ± 5 kcal/mol). Trehalose combined with HSA yielded synergistic stabilization with 30.1 ± 3.2 bonds, interaction energy of −112 ± 7 kcal/mol, and reduced RMSD to 3.1 ± 0.3 Å. Coarse-grained simulations showed the lowest aggregation with trehalose–HSA (mean cluster size 2.4 ± 0.4 molecules), compared with sucrose (3.7 ± 0.7) and lactose (5.4 ± 1.0, p < 0.001). Finite element modelling predicted diffusion radii of 1.25 ± 0.05 mm for trehalose–HSA versus 1.36 ± 0.06 mm with sucrose (p = 0.014). Reformulated PRABO and LETYBO with trehalose–HSA achieved the longest durations (186 ± 8 and 184 ± 9 days), followed by INCO (176 ± 7), ONA (170 ± 8), DAXI (167 ± 10), and ABO (160 ± 7). Reconstitution with 0.5 mL per 100 units minimized spread (1.22 ± 0.04 mm) and maximized persistence (188 ± 9 days, p < 0.01 vs 2.5 mL). Across molecular, mesoscopic, and tissue levels, trehalose–HSA consistently provided superior stability, aggregation resistance, and duration, offering a rational basis for next-generation BoNT/A formulations.

A型肉毒杆菌神经毒素（BoNT/A）配方的不同主要在于辅料，辅料决定了其稳定性、聚集性和弥散性。使用多尺度计算机模型（AesthetiSIMTM），我们评估了六种上市产品的赋形剂替代。150 kDa神经毒素复合物的RMSD（3.6±0.4 Å）低于900 kDa复合物（4.8±0.6 Å， p = 0.019）。在赋形剂中，海藻糖形成23.1±2.7个氢键和-106±6 kcal/mol相互作用能，优于蔗糖（19.8±2.5个键，-93±5 kcal/mol）和乳糖（9.6±1.8个键，-74±5 kcal/mol）。海藻糖与HSA的协同稳定性为30.1±3.2个键，相互作用能为-112±7 kcal/mol， RMSD降至3.1±0.3 Å。粗粒度模拟显示海藻糖- hsa的聚集最小（平均聚集大小为2.4±0.4分子），蔗糖（3.7±0.7）和乳糖（5.4±1.0,p < 0.001）。有限元模型预测海藻糖- hsa的扩散半径为1.25±0.05 mm，而蔗糖为1.36±0.06 mm （p = 0.014）。用海藻糖- hsa重新配制的PRABO和LETYBO的持续时间最长（186±8天和184±9天），其次是INCO（176±7）、ONA（170±8）、DAXI（167±10）和ABO（160±7）。每100个单位0.5 mL的复配使扩散最小（1.22±0.04 mm），持续时间最大（188±9天，p < 0.01 vs 2.5 mL）。在分子、介观和组织水平上，海藻糖- hsa始终具有优越的稳定性、抗聚集性和持续时间，为下一代BoNT/ a配方提供了合理的基础。

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引用次数: 0

Modeling and simulation of benzimidazole dissolution behavior in different monosolvents using machine learning and thermodynamic models 利用机器学习和热力学模型建模和模拟苯并咪唑在不同单溶剂中的溶解行为。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-20 DOI: 10.1016/j.xphs.2025.104137

Kassem AL Attabi , Farag M.A. Altalbawy , Deepak J , Anupama Routray , Karthikeyan A , Harjot Singh Gill , Yashwant Singh Bisht , Rafid Kamal Jameel , Ahmed Aldulaimi , Rafid Jihad Albadr , Mariem Alwan , Abdolali Yarahmadi Kandahari

Benzimidazole, a compound valued for its distinct physicochemical characteristics and diverse applications, is the focus of this investigation into its dissolution behavior across various monosolvents. This research employs sophisticated machine learning algorithms, including K-nearest neighbors (KNN), ensemble learning (EL), random forest, decision tree, and adaptive boosting, alongside thermodynamic models such as Apelblat, λh, NRTL, and Margules, to model and predict solubility. A detailed dataset consisting of 171 experimental points, where 136 are used for training and 35 for testing, was curated to encompass 19 monosolvents, including water, methanol, ethanol, n-propanol, isopropanol, n-butanol, 2-butanol, isobutanol, n-pentanol, acetonitrile, acetone, 2-butanone, 1,4-dioxane, methyl acetate, ethyl acetate, propyl acetate, isopropyl acetate, isobutyl acetate, and butyl acetate. The models utilized key input variables including monosolvent type, monosolvent molar mass (g/mol), and temperature (K) which significantly govern Benzimidazole’s solubility. Sensitivity analysis conducted via Monte Carlo simulations identified monosolvent type as the most influential parameter, followed by temperature and monosolvent molar mass, with sensitivity values of 4.28439, 3.54761, and 2.958176, respectively. The dataset underwent thorough validation to ensure its robustness for data-driven modeling. Model performance assessments demonstrated that adaptive boosting achieved superior predictive precision, yielding the highest R² values and the lowest RMSE and AARE percentages across training and test datasets. These findings emphasize the effectiveness of machine learning, especially adaptive boosting, in providing accurate and efficient solubility predictions. The developed machine learning framework provides an economical complement to experimental methods, facilitating rapid and cost-effective prediction of solubility behavior.

苯并咪唑是一种因其独特的物理化学特性和多种用途而受到重视的化合物，是本研究的重点，研究其在各种单溶剂中的溶解行为。本研究采用复杂的机器学习算法，包括k近邻（KNN）、集成学习（EL）、随机森林、决策树和自适应增强，以及热力学模型（如Apelblat、λh、NRTL和Margules）来建模和预测溶解度。一个由171个实验点组成的详细数据集，其中136个用于训练，35个用于测试，包括19个单溶剂，包括水，甲醇，乙醇，正丙醇，异丙醇，正丁醇，2-丁醇，异丁醇，正戊醇，乙腈，丙酮，2-丁酮，1,4-二氧环，乙酸甲酯，乙酸乙酯，乙酸丙酯，乙酸异丙酯，乙酸异丁酯和乙酸丁酯。该模型利用了单溶剂类型、单溶剂摩尔质量（g/mol）和温度(K)等关键输入变量，这些变量对苯并咪唑的溶解度有显著影响。通过蒙特卡罗模拟进行灵敏度分析，单溶剂类型是影响最大的参数，其次是温度和单溶剂摩尔质量，灵敏度值分别为4.28439、3.54761和2.958176。数据集经过了彻底的验证，以确保其对数据驱动建模的鲁棒性。模型性能评估表明，自适应增强实现了卓越的预测精度，在训练和测试数据集中产生最高的R²值和最低的RMSE和AARE百分比。这些发现强调了机器学习，特别是自适应增强，在提供准确和有效的溶解度预测方面的有效性。开发的机器学习框架为实验方法提供了经济的补充，促进了溶解度行为的快速和经济的预测。

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引用次数: 0

2026 Editorial Advisory Board (EAB) appointments and updates 2026编辑顾问委员会（EAB）任命和更新。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-18 DOI: 10.1016/j.xphs.2025.104132

Kenneth L. Audus

引用次数: 0

2026 scientific advisors to the editors (SAEs) appointments and updates 2026编辑科学顾问（sae）的任命和更新。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-17 DOI: 10.1016/j.xphs.2025.104131

Kenneth L. Audus

引用次数: 0

Sesquiterpenes from galangal essential oil as potent penetration enhancer: Effect on stratum corneum components and cutaneous TRPV4 ion channel 高良姜精油倍半萜类成分对角质层成分和皮肤TRPV4离子通道的影响。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-17 DOI: 10.1016/j.xphs.2025.104134

Tianyu He , Rong Tian , Zhichao Song , Lei Liu , Xixi Zhu , Yanan Li , Wenjun Liu , Shaoping Yin , Jie Dong , Fei Xu , Jun Chen

Natural terpenes found in essential oils (EOs) have shown promise as penetration enhancers (PEs) in pharmaceutical and cosmetic formulations. This study compared the skin penetration enhancement properties of sesquiterpenes and monoterpenes from galangal EO (GEO), e.g. δ-cadinene, β-caryophyllene, caryophyllene oxide (CPO), 4-terpineol, β-pinene, and 1,8-cineole. Results indicated that the sesquiterpenes, particularly δ-cadinene, significantly improved the skin permeation of rhodamine B compared to monoterpenes. Electrical resistance measurements of the skin, DSC and XRD analysis revealed that the sesquiterpenes notably disturbed the ordered arrangement of stratum corneum (SC) components including lipids and keratins. Additionally, the results of molecular docking also revealed that sesquiterpenes were easily combined with transient receptor potential vanilloid 4 (TRPV4) ion channel. The cutaneous TRPV4 ion channel, which played a role in tight junction (TJ) formation in keratinocytes, were abundantly expressed in rat abdominal skin. δ-Cadinene, specifically, exhibited an agonistic effect on the cutaneous TRPV4 ion channel, significantly enhancing its SC retention and facilitating in vivo skin permeation of rhodamine B. In summary, the penetration enhancement mechanism of sesquiterpenes from GEO, particularly δ-cadinene, includes acting on SC components and activating the cutaneous TRPV4 ion channel.

在精油（EOs）中发现的天然萜烯已显示出在制药和化妆品配方中作为渗透增强剂（PEs）的前景。本研究比较了高良姜EO （GEO）中倍半萜和单萜的增透性，如δ-cadinene、β-石竹烯、石竹烯氧化物（CPO）、4-松油醇、β-蒎烯和1,8-桉叶油脑。结果表明，倍半萜类化合物，尤其是δ-癸二烯，与单萜类化合物相比，能显著提高罗丹明B的皮肤渗透性。皮肤的电阻测量、DSC和XRD分析表明，倍半萜烯明显扰乱了角质层（SC）成分（包括脂质和角蛋白）的有序排列。此外，分子对接的结果还显示倍半萜类化合物很容易与瞬时受体电位香草素4 （TRPV4）离子通道结合。皮肤TRPV4离子通道在大鼠腹部皮肤中大量表达，参与角化细胞紧密连接（TJ）的形成。特别是δ-Cadinene对皮肤TRPV4离子通道表现出拮抗作用，显著增强其SC潴留，促进罗丹明b在体内的皮肤渗透。总之，GEO倍半萜类化合物，特别是δ-Cadinene的渗透增强机制包括作用于SC成分和激活皮肤TRPV4离子通道。

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引用次数: 0

Response to comments on "diacerein-loaded oleoliposome dry-powder inhalation nano-formulation for COPD" 对“慢性阻塞性肺病（COPD）载二黄芩素油脂质体干粉吸入纳米制剂”评价的回应。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-16 DOI: 10.1016/j.xphs.2025.104129

Ossama M Sayed, Khaled Almansour, Amira A. Boseila, Ahmed A. Katamesh, Shimaa M. Hassoun

引用次数: 0

Ensuring pharmaceutical safety: Highthroughput LC-MS/MS method for plastic additive detection 确保药品安全：高通量LC-MS/MS方法检测塑料添加剂。

IF 3.8 3区医学 Q2 CHEMISTRY, MEDICINAL

Journal of pharmaceutical sciences

Pub Date : 2025-12-16 DOI: 10.1016/j.xphs.2025.104135

İbrahim Hakkı Demircioğlu , Oğuzhan Dalkılıç , Saffet Çelik , Tugrul Cagri Akman , Hamdullah Kılıç , Levent Kandemir , Alptuğ Atila

Extractables and Leachables studies require highly reliable and sensitive analytical methods to ensure pharmaceutical product safety. Plastic additives are widely used during production to improve the physicochemical properties of polymeric products. However, these additives may constitute a potential toxicological risk by contaminating active pharmaceutical ingredients and pharmaceutical preparations. In this study, a short-term, sensitive, accurate, and reliable LC-MS/MS method was developed for the analysis of 15 plastic additives defined in the European Pharmacopoeia and validated in accordance with the ICH Q2(R2) guideline. An electrospray ionization source was used for the analyses in both negative and positive modes. Chromatographic separation was carried out using a reverse-phase phenyl C18 column and a mixture of methanol and ultrapure water containing 5 mM ammonium acetate as the mobile phase by the gradient elution method. As a result of method optimization, the flow rate and total analysis time were determined to be 0.7 mL/min and 15 min, respectively. Diphenyl phthalate was chosen as the internal standard. The LLOQ values of plastic additives were generally determined as 50 ng/mL (150 ng/mL for oleamide). The reliability of the method was verified by intraday/interday precision and accuracy analyses. Both extractable and leachable studies were performed using the developed method. It was effectively used to detect plastic additive contamination in pharmaceutical products such as bromobutyl stoppers, LDPE containers, disposable eye drop packaging, and polypropylene bags. The developed LC-MS/MS method was successfully applied to the analysis of pharmaceutical formulations containing 1.4% polyvinyl alcohol and 0.6% povidone, sodium hyaluronate, salbutamol sulfate, and 0.9% isotonic sodium chloride.

可萃取物和可浸出物的研究需要高度可靠和敏感的分析方法，以确保药品安全。塑料助剂在生产过程中被广泛使用，以改善聚合物产品的物理化学性能。然而，这些添加剂可能通过污染活性药物成分和药物制剂而构成潜在的毒理学风险。本研究建立了一种短期、灵敏、准确、可靠的LC-MS/MS方法，用于分析欧洲药典中定义的15种塑料添加剂，并根据ICH Q2（R2）指南进行了验证。采用电喷雾电离源进行了正负两种模式的分析。色谱分离采用苯基C18反相色谱柱，流动相为甲醇与含5 mM乙酸铵的超纯水混合物，采用梯度洗脱法。通过方法优化，确定流速为0.7 mL/min，总分析时间为15 min。内标选用邻苯二甲酸二苯酯。塑料助剂的定量限一般为50 ng/mL（油酰胺为150 ng/mL）。通过日内/日精密度和准确度分析，验证了该方法的可靠性。使用开发的方法进行了可提取和可浸出的研究。该方法可有效检测溴丁基瓶塞、LDPE容器、一次性眼药水包装、聚丙烯包装袋等药品中塑料添加剂的污染情况。所建立的LC-MS/MS方法成功地应用于含有1.4%聚乙烯醇和0.6%聚维酮、透明质酸钠、硫酸沙丁胺醇和0.9%等渗氯化钠的药品配方的分析。

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引用次数: 0