Statistical Comparison of Parallel-Line Symmetrical Microbiological Models: Analysis of Agar Diffusion Assay in 8 x 8 Large Rectangular Plates

Mostafa EİSSA

Article Details

Statistical Comparison of Parallel-Line Symmetrical Microbiological Models: Analysis of Agar Diffusion Assay in 8 x 8 Large Rectangular Plates

Authors:

Mostafa EİSSA

Publisher:

Abdulkadir KESKİN

Main Topics:

Natural sciences | Analysis

Journal:

Journal of Statistics and Applied Sciences 2021 Vol.2 Issue 2, pp.48-64

Document Type:

Article

Publication Date:

12/2021

Document Language:

Turkish

Document ID (Org No.):

2000521908

Frequency:

Bi-Annual

eISSN:

2718-0999

Abstract:

 

Abstract: (1) Background: Microbiological assay of active medicinal compounds is superior to conventional chemical means in several circumstances to date. However, ensuring the validity and suitability of the assay design proposed for the intended purpose is crucial before deriving any records or conclusions from the results of the potency determination; (2) The present work represented statistical comparison between three design models for determination of the potency of Neomycin Sulfate antibiotic using agar diffusion technique for the same test material subject under identical conditions through the application of a combination of statistical software programs, including validated programmed Microsoft Excel Workbook for the statistical testing of each assay layout; (3) Results: raw data of the three assay designs were found to be reasonably valid for further analysis of the assay suitability. Examination of the sources of variations for each design demonstrated the validity of the conducted experimentation. Variation between the computed potencies from the three designs was lower than 5 µg/mg. However, there was significant variation between the confidence windows of each type; (4) Conclusions: 2 x 4 design had the narrowest confidence range. However, improving confidence would require investigation of the assay parameters, including the modification of the number of replicates per treatment.

 

Abstract: (1) Background: Microbiological assay of active medicinal compounds is superior to conventional chemical means in several circumstances to date. However, ensuring the validity and suitability of the assay design proposed for the intended purpose is crucial before deriving any records or conclusions from the results of the potency determination; (2) The present work represented statistical comparison between three design models for determination of the potency of Neomycin Sulfate antibiotic using agar diffusion technique for the same test material subject under identical conditions through the application of a combination of statistical software programs, including validated programmed Microsoft Excel Workbook for the statistical testing of each assay layout; (3) Results: raw data of the three assay designs were found to be reasonably valid for further analysis of the assay suitability. Examination of the sources of variations for each design demonstrated the validity of the conducted experimentation. Variation between the computed potencies from the three designs was lower than 5 µg/mg. However, there was significant variation between the confidence windows of each type; (4) Conclusions: 2 x 4 design had the narrowest confidence range. However, improving confidence would require investigation of the assay parameters, including the modification of the number of replicates per treatment.

Article Details

Statistical Comparison of Parallel-Line Symmetrical Microbiological Models: Analysis of Agar Diffusion Assay in 8 x 8 Large Rectangular Plates

Authors: Mostafa EİSSA

Publisher: Abdulkadir KESKİN

Main Topics: Natural sciences | Analysis

Journal: Journal of Statistics and Applied Sciences 2021 Vol.2 Issue 2, pp.48-64

Document Type: Article

Publication Date: 12/2021

Document Language: Turkish

Document ID (Org No.): 2000521908

Frequency: Bi-Annual

eISSN: 2718-0999

Issues

Authors:

Mostafa EİSSA

Publisher:

Abdulkadir KESKİN

Main Topics:

Natural sciences | Analysis

Journal:

Journal of Statistics and Applied Sciences 2021 Vol.2 Issue 2, pp.48-64

Document Type:

Article

Publication Date:

12/2021

Document Language:

Turkish

Document ID (Org No.):

2000521908

Frequency:

Bi-Annual

eISSN:

2718-0999