优化用于扑热息痛和双氯芬酸钠分析的自动溶解系统 dissoBOT 中的携带量。

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
David Majer , Aljaž Šporin , Matjaž Finšgar
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引用次数: 0

摘要

在这项工作中,首次使用了自动溶出系统(dissoBOT)进行溶出测试。利用 dissoBOT 测定了扑热息痛(PA)和双氯芬酸钠(DS)这两种活性药物成分(APIs)的残留量(CO)。首先,通过确定检测限(LOD)、定量限(LOQ)、准确度和精密度,对测定 PA 和 DS 的紫外-可见分光光度法进行了部分方法验证。两种原料药的检出限和定量限均小于 0.01 mg/L。PA 和 DS 的线性范围分别为 1.00 mg/L 至 30.00 mg/L和 0.50 mg/L 至 3.50 mg/L(相关系数的平方均大于 0.9990,质量系数均小于 1.00%)。通过计算已知浓度标准溶液的回收率 (Re),评估了该方法的准确性。两种原料药的方法都被认为是准确的(PA 和 DS 的平均 Re 分别为 99.81% 和 101.43%)。精密度通过计算相对标准偏差(RSD)进行评估。PA 和 DS 方法的 RSD 值分别为 0.13%和 0.38%,因此被认为是精确的。确定了由 dissoBOT 系统执行的两个清洗周期中清洗介质的体积 (V) 以及介质分配 V,其中介质分配 V 符合美国药典的要求。经测定,使用自来水作为清洗介质的 dissoBOT 系统对两种原料药的 CO 值均小于 1.00%。V 值为 2 mL 的采样站一个清洗周期的 CO 值在 1.24-1.54% 之间,V 值为 5 mL 的采样站一个清洗周期的 CO 值在 0.78-0.93% 之间,V 值为 10 mL 的采样站一个清洗周期的 CO 值在 0.27-0.36% 之间。此外,在对采样站进行两个清洁循环(每个 V 值为 10 mL)时,dissoBOT 的二氧化碳排放量也有所减少(CO
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimizing carry-over in automated dissolution system dissoBOT for paracetamol and diclofenac sodium analysis

In this work, an automated dissolution system (dissoBOT) was used for dissolution testing for the first time. Carry-over (CO) of the dissoBOT was determined for paracetamol (PA) and diclofenac sodium (DS), which are active pharmaceutical ingredients (APIs). Initially, partial method validation of the UV-VIS spectrophotometry method for PA and DS determination was performed by defining the limit of detection (LOD), the limit of quantification (LOQ), linear concentration range, accuracy, and precision. The LODs and LOQs were less than 0.01 mg/L for both APIs. The determined linear concentration ranges were from 1.00 mg/L to 30.00 mg/L for PA and from 0.50 mg/L to 3.50 mg/L for DS (the square of the correlation coefficient was greater than 0.9990, and the quality coefficient was less than 1.00 % for both APIs). The accuracy of the method was evaluated by calculating the recovery (Re) of the solutions of standards with known concentrations. The method for both APIs was deemed to be accurate (the average Re for PA and DS were 99.81 % and 101.43 %, respectively). Precision was evaluated by calculating the relative standard deviation (RSD). The method for PA and DS was deemed to be precise, as the RSD value for PA was 0.13 %, and for DS was 0.38 %. The volume (V) of the washing medium in both cleaning cycles performed by the dissoBOT system, as well as the medium dispensing V, were established, where the medium dispensing V was in accordance with the United States Pharmacopeia requirements. The CO of the dissoBOT system, using tap water as the washing medium, was determined to be less than 1.00 % for both APIs. The CO values for one cleaning cycle of the sampling station with a V of 2 mL was in the range of 1.24–1.54 %, for V of 5 mL was in the range of 0.78–0.93 %, and for V of 10 mL was in the range of 0.27–0.36 %. In addition, the CO of the dissoBOT, when employing two cleaning cycles of the sampling station (each V of 10 mL) was reduced (CO <0.20 %). Finally, the dissoBOT was successfully employed for the dissolution PA and DS tables.

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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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