Facile and sensitive multi quantitative determination of tamsulosin and dutasteride in commercial tablet based on citrate-capped gold nanoparticles along with smart chemometrics-assisted spectrophotometric methods

IF 2.1 4区 材料科学 Q3 CHEMISTRY, MULTIDISCIPLINARY Journal of Nanoparticle Research Pub Date : 2024-06-27 DOI:10.1007/s11051-024-06051-x
Ghasem Mahmoudi, Mahmoud Reza Sohrabi, Fereshteh Motiee
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Abstract

In this work, a simple colorimetric method based on the gold nanoparticles (AuNPs) using its localized surface plasmon resonance (LSPR) was proposed for the simultaneous determination of tamsulosin (TAM) and dutasteride (DTS) in pharmaceutical formulation. The aggregation of citrate-capped AuNPs was observed in the presence of TAM and DTS, which led to a change in color from red to gray. Also, the absorbance was shifted from 524 to 674 nm. The formation and size of synthesized AuNPs before and after aggregation were evaluated by transmission electron microscopy (TEM) and dynamic light scattering (DLS), which were found to be 11.49 and 122.1 nm, respectively. The colorimetric method was validated in the concentration range of 50–200 μg/L, where it revealed good linearity (R2 = 0.9958 for TAM and R2 = 0.9912 for DTS). The limit of detection (LOD) and limit of quantitation (LOQ) were found to be 21.08, 21.82 μg/L and 63.90, 66.12 μg/L for TAM and DTS, respectively. Radial basis function neural network (RBF-NN) and fuzzy inference system (FIS) were coupled with this approach for the simultaneous estimation of both components. The mean recovery percentage of the RBF model was higher than 99.99% for both components, as well as root mean square error (RMSE) values were 3.69 × 10−13 and 1.75 × 10−13 for TAM and DTS, respectively. In the FIS model, the mean recovery was 99.15% and 101.76% for TAM and DTS, respectively, while RMSE was lower than 3.2. These methods were compared with high-performance liquid chromatography (HPLC) through an analysis of variance (ANOVA) test. This colorimetric method can be an appropriate choice for the determination of drug contents in pharmaceutical and biological samples.

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基于柠檬酸盖金纳米粒子和智能化学计量学辅助分光光度法,简便灵敏地测定商品片剂中的坦索罗辛和度他雄胺
本研究提出了一种基于金纳米粒子(AuNPs)的简单比色法,利用其局部表面等离子体共振(LSPR)同时测定药物制剂中的坦索罗辛(TAM)和度他雄胺(DTS)。在 TAM 和 DTS 的存在下,观察到柠檬酸盐封端的 AuNPs 发生聚集,导致颜色从红色变为灰色。此外,吸光度也从 524 纳米变为 674 纳米。通过透射电子显微镜(TEM)和动态光散射(DLS)评估了聚合前后合成的 AuNPs 的形成和尺寸,发现它们分别为 11.49 nm 和 122.1 nm。在 50-200 μg/L 的浓度范围内对比色法进行了验证,结果表明该方法具有良好的线性关系(TAM 的线性相关系数 R2 = 0.9958,DTS 的线性相关系数 R2 = 0.9912)。TAM 和 DTS 的检出限(LOD)和定量限(LOQ)分别为 21.08、21.82 μg/L 和 63.90、66.12 μg/L。径向基函数神经网络(RBF-NN)和模糊推理系统(FIS)与该方法相结合,可同时估算两种成分。RBF 模型对两个成分的平均恢复率均高于 99.99%,对 TAM 和 DTS 的均方根误差(RMSE)值分别为 3.69 × 10-13 和 1.75 × 10-13。在 FIS 模型中,TAM 和 DTS 的平均回收率分别为 99.15% 和 101.76%,均方根误差小于 3.2。通过方差分析(ANOVA)检验将这些方法与高效液相色谱法(HPLC)进行了比较。该比色法可用于测定药物和生物样品中的药物含量。
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来源期刊
Journal of Nanoparticle Research
Journal of Nanoparticle Research 工程技术-材料科学:综合
CiteScore
4.40
自引率
4.00%
发文量
198
审稿时长
3.9 months
期刊介绍: The objective of the Journal of Nanoparticle Research is to disseminate knowledge of the physical, chemical and biological phenomena and processes in structures that have at least one lengthscale ranging from molecular to approximately 100 nm (or submicron in some situations), and exhibit improved and novel properties that are a direct result of their small size. Nanoparticle research is a key component of nanoscience, nanoengineering and nanotechnology. The focus of the Journal is on the specific concepts, properties, phenomena, and processes related to particles, tubes, layers, macromolecules, clusters and other finite structures of the nanoscale size range. Synthesis, assembly, transport, reactivity, and stability of such structures are considered. Development of in-situ and ex-situ instrumentation for characterization of nanoparticles and their interfaces should be based on new principles for probing properties and phenomena not well understood at the nanometer scale. Modeling and simulation may include atom-based quantum mechanics; molecular dynamics; single-particle, multi-body and continuum based models; fractals; other methods suitable for modeling particle synthesis, assembling and interaction processes. Realization and application of systems, structures and devices with novel functions obtained via precursor nanoparticles is emphasized. Approaches may include gas-, liquid-, solid-, and vacuum-based processes, size reduction, chemical- and bio-self assembly. Contributions include utilization of nanoparticle systems for enhancing a phenomenon or process and particle assembling into hierarchical structures, as well as formulation and the administration of drugs. Synergistic approaches originating from different disciplines and technologies, and interaction between the research providers and users in this field, are encouraged.
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