A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm
Background: Topical lidocaine microemulsion preparations with low toxicity, low irritation, strong transdermal capability and convenient administration are urgently needed.Methods: Box-Behnken design was performed for three preparation conditions of 5% lidocaine microemulsions: mass ratio of the mas...
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Frontiers Media S.A.
2023-09-01
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| Series: | Frontiers in Pharmacology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2023.1272454/full |
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| author | Yuchao Qiao Xuchun Wang Hao Ren Yu Cui Jiahui Ren Chongqi Hao Zhiyang Zhao Jing Liu Ruiqing Zhao Yiting Li Qingping Tian Lixia Qiu |
| author_facet | Yuchao Qiao Xuchun Wang Hao Ren Yu Cui Jiahui Ren Chongqi Hao Zhiyang Zhao Jing Liu Ruiqing Zhao Yiting Li Qingping Tian Lixia Qiu |
| author_sort | Yuchao Qiao |
| collection | DOAJ |
| description | Background: Topical lidocaine microemulsion preparations with low toxicity, low irritation, strong transdermal capability and convenient administration are urgently needed.Methods: Box-Behnken design was performed for three preparation conditions of 5% lidocaine microemulsions: mass ratio of the mass ratio of surfactant/(oil phase + surfactant) (X1), the mass ratio of olive oil/(α-linolenic acid + linoleic acid) (X2) and the water content W% (X3). Then, five multi-objective genetic algorithms were used to optimize the three evaluation indices to optimize the effects of lidocaine microemulsion preparations. Finally, the ideal optimization scheme was experimentally verified.Results: Non-dominated Sorting Genetic Algorithm-II was used for 30 random searches. Among these, Scheme 2: X1 = 0.75, X2 = 0.35, X3 = 75%, which resulted in Y1 = 0.17 μg/(cm2·s) and Y2 = 0.74 mg/cm2; and the Scheme 19: X1 = 0.68, X2 = 1.42, X3 = 75% which resulted in Y1 = 0.14 μg/(cm2·s) and Y2 = 0.80 mg/cm2, provided the best matches for the objective function requirements. The maximum and average fitness of the method have reached stability after 3 generations of evolution. Experimental verification of the above two schemes showed that there were no statistically significant differences between the measured values of Y1 and Y2 and the predicted values obtained by optimization (p > 0.05) and are close to the target value.Conclusion: Two lidocaine microemulsion preparation protocols were proposed in this study. These preparations resulted in good transdermal performance or long anesthesia duration, respectively. |
| first_indexed | 2024-03-11T21:06:21Z |
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| institution | Directory Open Access Journal |
| issn | 1663-9812 |
| language | English |
| last_indexed | 2024-03-11T21:06:21Z |
| publishDate | 2023-09-01 |
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| series | Frontiers in Pharmacology |
| spelling | doaj.art-df15e9d6bb5e4c8e94ae972ec258cb202023-09-29T13:23:13ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122023-09-011410.3389/fphar.2023.12724541272454A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithmYuchao Qiao0Xuchun Wang1Hao Ren2Yu Cui3Jiahui Ren4Chongqi Hao5Zhiyang Zhao6Jing Liu7Ruiqing Zhao8Yiting Li9Qingping Tian10Lixia Qiu11Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaSchool of Pharmacy, Shanxi Medical University, Taiyuan, ChinaDepartment of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, ChinaBackground: Topical lidocaine microemulsion preparations with low toxicity, low irritation, strong transdermal capability and convenient administration are urgently needed.Methods: Box-Behnken design was performed for three preparation conditions of 5% lidocaine microemulsions: mass ratio of the mass ratio of surfactant/(oil phase + surfactant) (X1), the mass ratio of olive oil/(α-linolenic acid + linoleic acid) (X2) and the water content W% (X3). Then, five multi-objective genetic algorithms were used to optimize the three evaluation indices to optimize the effects of lidocaine microemulsion preparations. Finally, the ideal optimization scheme was experimentally verified.Results: Non-dominated Sorting Genetic Algorithm-II was used for 30 random searches. Among these, Scheme 2: X1 = 0.75, X2 = 0.35, X3 = 75%, which resulted in Y1 = 0.17 μg/(cm2·s) and Y2 = 0.74 mg/cm2; and the Scheme 19: X1 = 0.68, X2 = 1.42, X3 = 75% which resulted in Y1 = 0.14 μg/(cm2·s) and Y2 = 0.80 mg/cm2, provided the best matches for the objective function requirements. The maximum and average fitness of the method have reached stability after 3 generations of evolution. Experimental verification of the above two schemes showed that there were no statistically significant differences between the measured values of Y1 and Y2 and the predicted values obtained by optimization (p > 0.05) and are close to the target value.Conclusion: Two lidocaine microemulsion preparation protocols were proposed in this study. These preparations resulted in good transdermal performance or long anesthesia duration, respectively.https://www.frontiersin.org/articles/10.3389/fphar.2023.1272454/fulllidocaine microemulsionmulti-objective optimizationgenetic algorithmPareto non-inferior solutionnon-dominated sorting genetic algorithm-II |
| spellingShingle | Yuchao Qiao Xuchun Wang Hao Ren Yu Cui Jiahui Ren Chongqi Hao Zhiyang Zhao Jing Liu Ruiqing Zhao Yiting Li Qingping Tian Lixia Qiu A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm Frontiers in Pharmacology lidocaine microemulsion multi-objective optimization genetic algorithm Pareto non-inferior solution non-dominated sorting genetic algorithm-II |
| title | A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm |
| title_full | A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm |
| title_fullStr | A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm |
| title_full_unstemmed | A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm |
| title_short | A study on the preparation conditions of lidocaine microemulsion based on multi-objective genetic algorithm |
| title_sort | study on the preparation conditions of lidocaine microemulsion based on multi objective genetic algorithm |
| topic | lidocaine microemulsion multi-objective optimization genetic algorithm Pareto non-inferior solution non-dominated sorting genetic algorithm-II |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2023.1272454/full |
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