# Erratum: Mangas-Sanjuán, V.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence. Pharmaceutics 2019, 11, 503

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**Figure 2.**Bootstrap analysis of rheological parameters—1 reference batch versus 1 reference batch. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “1 reference batch versus 1 test batch” for each rheological parameter. Data of 10 batches and 12 replicates each were used. Median (red line) and non-parametric 90% CI (blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [4]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent;${G}_{1}^{\prime}$, calculated elastic modulus; ${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the surface versus weight curve (spreadability).

**Figure 3.**Bootstrap analysis of rheological parameters—five reference batches versus five reference batches. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “5 reference batches versus five test batches” for each rheological parameter. Data of 10 batches and 12 replicate each were used. Median (solid red line) and non-parametric 90% CI (solid blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [4]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent at 1 Hz;${G}_{1}^{\prime}$, calculated elastic modulus;${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the surface versus weight curve (spreadability).

**Figure S2.**Bootstrap analysis of rheological parameters using 6 replicates—1 reference batch versus 1 reference batch. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “1 reference batch versus 1 test batch” for each rheological parameter. Data of 10 batches and 6 replicate each were used. Median (red line) and non-parametric 90% CI (blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [4]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent at 1 Hz; ${G}_{1}^{\prime}$, calculated elastic modulus; ${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the weight versus surface curve (spreadability).

**Figure S3.**Bootstrap analysis of rheological parameters using 24 replicates—1 reference batch versus 1 reference batch. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “1 reference batch versus 1 test batch” for each rheological parameter. Data of 10 batches and 24 replicate each were used. Median (red line) and non-parametric 90% CI (blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [4]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent at 1 Hz; ${G}_{1}^{\prime}$, calculated elastic modulus; ${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the weight versus surface curve (spreadability).

**Figure S4.**Bootstrap analysis of rheological parameters using 6 replicates—5 reference batches versus 5 references batches. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “5 reference batches versus 5 test batches” for each rheological parameter. Data of 10 batches and 6 replicate each were used. Median (solid red line) and non-parametric 90% CI (solid blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [4]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent at 1 Hz; ${G}_{1}^{\prime}$, calculated elastic modulus; ${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the weight versus surface curve (spreadability).

**Figure S5.**Bootstrap analysis of rheological parameters using 24 replicates—5 reference batches versus 5 references batches. A total of 10,000 geometric mean ratios (light grey area) resulting from the bootstrap analysis of “5 reference batches versus 5 test batches” for each rheological parameter. Data of 10 batches and 24 replicate each were used. Median (solid red line) and non-parametric 90% CI (solid blue lines) of the probability distribution. Dashed lines represent the acceptance limits for equivalence (90–111.11%) stated in the EMA guideline [11]. S

_{R}, relative thixotropic area; σ

_{0}, yield stress; η

_{0}, zero-shear viscosity; η

_{100}, viscosity at 100 s

^{−1}; tan δ, loss tangent at 1 Hz; ${G}_{1}^{\prime}$, calculated elastic modulus; ${G}_{1}^{\u2033}$, calculated viscous modulus; m’ and m” are the parameters obtained when fitting G’ and G”, respectively, versus frequency; AUC, area under the weight versus surface curve (spreadability).

## Reference

- Mangas-Sanjuán, V.; Pleguezuelos-Villa, M.; Merino-Sanjuán, M.; Hernández, M.J.; Nácher, A.; García-Arieta, V.; Peris, D.; Hidalgo, I.; Soler, L.; Sallan, M.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence. Pharmaceutics
**2019**, 11, 503. [Google Scholar] [CrossRef] [PubMed] [Green Version]

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

## Share and Cite

**MDPI and ACS Style**

Mangas-Sanjuán, V.; Pleguezuelos-Villa, M.; Merino-Sanjuán, M.; Hernández, M.J.; Nácher, A.; García-Arieta, A.; Peris, D.; Hidalgo, I.; Soler, L.; Sallan, M.;
et al. Erratum: Mangas-Sanjuán, V.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence. *Pharmaceutics* 2019, *11*, 503. *Pharmaceutics* **2020**, *12*, 436.
https://doi.org/10.3390/pharmaceutics12050436

**AMA Style**

Mangas-Sanjuán V, Pleguezuelos-Villa M, Merino-Sanjuán M, Hernández MJ, Nácher A, García-Arieta A, Peris D, Hidalgo I, Soler L, Sallan M,
et al. Erratum: Mangas-Sanjuán, V.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence. *Pharmaceutics* 2019, *11*, 503. *Pharmaceutics*. 2020; 12(5):436.
https://doi.org/10.3390/pharmaceutics12050436

**Chicago/Turabian Style**

Mangas-Sanjuán, Víctor, María Pleguezuelos-Villa, Matilde Merino-Sanjuán, Mᵃ Jesús Hernández, Amparo Nácher, Alfredo García-Arieta, Daniel Peris, Irene Hidalgo, Lluís Soler, Marta Sallan,
and et al. 2020. "Erratum: Mangas-Sanjuán, V.; et al. Assessment of the Inter-Batch Variability of Microstructure Parameters in Topical Semisolids and Impact on the Demonstration of Equivalence. *Pharmaceutics* 2019, *11*, 503" *Pharmaceutics* 12, no. 5: 436.
https://doi.org/10.3390/pharmaceutics12050436