Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant

Andrés Betancourt; Patricio Quitiaquez; William Quitiaquez; Erika Pilataxi

doi:10.1007/978-3-031-70981-4_55

Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the present study, the results obtained after cleaning a production line of anti-inflammatory soft gels were statistically analyzed. Four cleaning agents were selected, water samples were taken from the last rinse of 5 critical points (points of higher difficulty for cleaning) and were subject to measurements of hydrogen potential (pH), conductivity, and total organic carbon (TOC). The data obtained were processes by multivariate analysis of variance (MANOVA). The value for Pillai’s trace model for the detergent variable in degrees of freedom (gl) was 9.120 gl; F = 2.381, Sig. = 0.016, while, for the control points variable, the Pillai’s trace was 12.120 gl; F = 1.814, Sig. = 0.053. the treatments were different to verify if the means, the Bonferroni statistical test was performed as a Post Hoc analysis for detergents 2–4; in this test the 95 % confidence interval [–1068.50; –203.36] was obtain, and for detergents 3–4 a Sig.=0.012, 95 % CI [–946.90; –81.76]. The analysis showed that the means of each detergent were significantly different for the TOC variable. According to the results obtained by the SPSS software for the statistical analysis MANOVA, it has determined that detergents 2 and 3 comply with all the required parameters in terms of conductivity. Duncan’s homogeneous subsets statistical test was performed for the TOC variable.

Original language	English
Title of host publication	Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
Editors	Marcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	870-887
Number of pages	18
ISBN (Print)	9783031709807
DOIs	https://doi.org/10.1007/978-3-031-70981-4_55
State	Published - 2024
Event	International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador Duration: 6 Nov 2023 → 10 Nov 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	797 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
Country/Territory	Ecuador
City	Ambato
Period	6/11/23 → 10/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

cleaning
conductivity
MANOVA
TOC

CACES Knowledge Areas

135A Chemistry

Access to Document

10.1007/978-3-031-70981-4_55

Cite this

Betancourt, A., Quitiaquez, P., Quitiaquez, W., & Pilataxi, E. (2024). Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant. In M. V. Garcia, C. Gordón-Gallegos, A. Salazar-Ramírez, & C. Nuñez (Eds.), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application (pp. 870-887). (Lecture Notes in Networks and Systems; Vol. 797 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-70981-4_55

Betancourt, Andrés ; Quitiaquez, Patricio ; Quitiaquez, William et al. / Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant. Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application. editor / Marcelo V. Garcia ; Carlos Gordón-Gallegos ; Asier Salazar-Ramírez ; Carlos Nuñez. Springer Science and Business Media Deutschland GmbH, 2024. pp. 870-887 (Lecture Notes in Networks and Systems).

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title = "Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant",

abstract = "In the present study, the results obtained after cleaning a production line of anti-inflammatory soft gels were statistically analyzed. Four cleaning agents were selected, water samples were taken from the last rinse of 5 critical points (points of higher difficulty for cleaning) and were subject to measurements of hydrogen potential (pH), conductivity, and total organic carbon (TOC). The data obtained were processes by multivariate analysis of variance (MANOVA). The value for Pillai{\textquoteright}s trace model for the detergent variable in degrees of freedom (gl) was 9.120 gl; F = 2.381, Sig. = 0.016, while, for the control points variable, the Pillai{\textquoteright}s trace was 12.120 gl; F = 1.814, Sig. = 0.053. the treatments were different to verify if the means, the Bonferroni statistical test was performed as a Post Hoc analysis for detergents 2–4; in this test the 95 \% confidence interval [–1068.50; –203.36] was obtain, and for detergents 3–4 a Sig.=0.012, 95 \% CI [–946.90; –81.76]. The analysis showed that the means of each detergent were significantly different for the TOC variable. According to the results obtained by the SPSS software for the statistical analysis MANOVA, it has determined that detergents 2 and 3 comply with all the required parameters in terms of conductivity. Duncan{\textquoteright}s homogeneous subsets statistical test was performed for the TOC variable.",

keywords = "cleaning, conductivity, MANOVA, TOC",

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Betancourt, A, Quitiaquez, P , Quitiaquez, W & Pilataxi, E 2024, Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant. in MV Garcia, C Gordón-Gallegos, A Salazar-Ramírez & C Nuñez (eds), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application. Lecture Notes in Networks and Systems, vol. 797 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 870-887, International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023, Ambato, Ecuador, 6/11/23. https://doi.org/10.1007/978-3-031-70981-4_55

Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant. / Betancourt, Andrés; Quitiaquez, Patricio ; Quitiaquez, William et al.
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application. ed. / Marcelo V. Garcia; Carlos Gordón-Gallegos; Asier Salazar-Ramírez; Carlos Nuñez. Springer Science and Business Media Deutschland GmbH, 2024. p. 870-887 (Lecture Notes in Networks and Systems; Vol. 797 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Betancourt, Andrés

AU - Quitiaquez, Patricio

AU - Quitiaquez, William

AU - Pilataxi, Erika

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - In the present study, the results obtained after cleaning a production line of anti-inflammatory soft gels were statistically analyzed. Four cleaning agents were selected, water samples were taken from the last rinse of 5 critical points (points of higher difficulty for cleaning) and were subject to measurements of hydrogen potential (pH), conductivity, and total organic carbon (TOC). The data obtained were processes by multivariate analysis of variance (MANOVA). The value for Pillai’s trace model for the detergent variable in degrees of freedom (gl) was 9.120 gl; F = 2.381, Sig. = 0.016, while, for the control points variable, the Pillai’s trace was 12.120 gl; F = 1.814, Sig. = 0.053. the treatments were different to verify if the means, the Bonferroni statistical test was performed as a Post Hoc analysis for detergents 2–4; in this test the 95 % confidence interval [–1068.50; –203.36] was obtain, and for detergents 3–4 a Sig.=0.012, 95 % CI [–946.90; –81.76]. The analysis showed that the means of each detergent were significantly different for the TOC variable. According to the results obtained by the SPSS software for the statistical analysis MANOVA, it has determined that detergents 2 and 3 comply with all the required parameters in terms of conductivity. Duncan’s homogeneous subsets statistical test was performed for the TOC variable.

AB - In the present study, the results obtained after cleaning a production line of anti-inflammatory soft gels were statistically analyzed. Four cleaning agents were selected, water samples were taken from the last rinse of 5 critical points (points of higher difficulty for cleaning) and were subject to measurements of hydrogen potential (pH), conductivity, and total organic carbon (TOC). The data obtained were processes by multivariate analysis of variance (MANOVA). The value for Pillai’s trace model for the detergent variable in degrees of freedom (gl) was 9.120 gl; F = 2.381, Sig. = 0.016, while, for the control points variable, the Pillai’s trace was 12.120 gl; F = 1.814, Sig. = 0.053. the treatments were different to verify if the means, the Bonferroni statistical test was performed as a Post Hoc analysis for detergents 2–4; in this test the 95 % confidence interval [–1068.50; –203.36] was obtain, and for detergents 3–4 a Sig.=0.012, 95 % CI [–946.90; –81.76]. The analysis showed that the means of each detergent were significantly different for the TOC variable. According to the results obtained by the SPSS software for the statistical analysis MANOVA, it has determined that detergents 2 and 3 comply with all the required parameters in terms of conductivity. Duncan’s homogeneous subsets statistical test was performed for the TOC variable.

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Betancourt A, Quitiaquez P , Quitiaquez W , Pilataxi E. Analysis of Industrial Detergents for the Cleaning of a Soft Capsule Production Line in a Pharmaceutical Plant. In Garcia MV, Gordón-Gallegos C, Salazar-Ramírez A, Nuñez C, editors, Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application. Springer Science and Business Media Deutschland GmbH. 2024. p. 870-887. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-70981-4_55