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达卡巴嗪和硝苯地平在多色光照射下的光动力学及其作为紫外线范围新的可靠光量计的应用。

Photokinetics of Dacarbazine and Nifedipine under polychromatic light irradiation and their application as new reliable actinometers for the ultraviolet range.

机构信息

Leicester School of Pharmacy, De Montfort University, The Gateway, Leicester, LE1 9BH, UK.

Department of Pharmaceutical Chemistry, College of Pharmacy, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.

出版信息

Sci Rep. 2022 May 10;12(1):7622. doi: 10.1038/s41598-022-11570-5.

DOI:10.1038/s41598-022-11570-5
PMID:35538090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9090909/
Abstract

The photokinetic behaviour of drugs driven by polychromatic light is an area of pharmaceutics that has not received a lot of attention. Most often, such photokinetic data is treated by thermal kinetic models (i.e., the classical 0th-, 1st- or 2nd-order equations). Such models were not analytically derived from the rate-laws of the photodegradation reactions. Polychromatic light kinetic modelling is hence of importance, as a means to providing adequate toolkits and metrics. This paper aims at proposing two reliable drug-actinometers useful for polychromatic UVA range. The general actinometric methodology offered here is also useful for any drugs/materials obeying a primary photoprocess where both reactant and photoproduct absorb the incident light, of the [Formula: see text] type. The present method has been consolidated by the η-order kinetics. This framework further demonstrated the lamp-specificity of actinometers. Overall, Dacarbazine and Nifedipine photodegradations obeyed η-order kinetics, and stand as effective actinometers that can be recommended for the ICH Q1b photostability testing.

摘要

多色光驱动药物的光动力学行为是药剂学中一个尚未受到广泛关注的领域。大多数情况下,这种光动力学数据是通过热动力学模型(即经典的 0 级、1 级或 2 级方程)来处理的。这些模型不是从光降解反应的速率定律中分析推导出来的。因此,多色光动力学建模很重要,是提供适当工具和指标的一种手段。本文旨在提出两种可用于多色 UVA 范围的可靠药物辐照计。这里提供的一般辐照计方法也可用于任何服从初级光反应的药物/材料,其中反应物和光产物都吸收入射光,属于 [公式:见文本] 类型。本方法已通过η级动力学得到巩固。该框架进一步证明了辐照计的灯特异性。总体而言,达卡巴嗪和硝苯地平的光降解遵循η级动力学,可作为有效的辐照计,可推荐用于 ICH Q1b 光稳定性测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/5628f59f2010/41598_2022_11570_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/81e56cb2bef4/41598_2022_11570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/dcd0b979b54b/41598_2022_11570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/eab6281d0d71/41598_2022_11570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/663fcffc6182/41598_2022_11570_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/63f46ff46ac0/41598_2022_11570_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/da6e2b9763dd/41598_2022_11570_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/120914ca1800/41598_2022_11570_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/9e6e662ba506/41598_2022_11570_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/5628f59f2010/41598_2022_11570_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/81e56cb2bef4/41598_2022_11570_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/dcd0b979b54b/41598_2022_11570_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/eab6281d0d71/41598_2022_11570_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/663fcffc6182/41598_2022_11570_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/63f46ff46ac0/41598_2022_11570_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/da6e2b9763dd/41598_2022_11570_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/120914ca1800/41598_2022_11570_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/9e6e662ba506/41598_2022_11570_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f874/9090909/5628f59f2010/41598_2022_11570_Fig9_HTML.jpg

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