Evaluation of a Most Probable Number Quantitation System with a Modified AATCC Test Method 100 for Measuring Fungal Growth

Michael S Price; Jesse Turmenne; Gina P Sloan

Evaluation of a Most Probable Number Quantitation System with a Modified AATCC Test Method 100 for Measuring Fungal Growth

Michael S Price, Jesse Turmenne, Gina P Sloan

Liberty University

Research output: Contribution to journal › Article › peer-review

Abstract

Industrial testing for bacterial growth on commercial substrates is highly efficient, with high-throughput means for quantifying growth. However, current antifungal testing is mostly subjective, with quantitative tests reliant on labor-intensive colony counting. We evaluated the use of a commercially available most probable number (MPN) system for quantifying growth of mold in a modified version of the AATCC Test Method (TM) 100. Using the MPN system, we were able to detect up to a 3.7-fold log reduction in mold growth between antifungal treated and untreated fabric samples. Using agar plate counts in parallel, we reproduced the trends observed using the MPN system. The trends in log reduction of growth correlated well and confirm that the MPN system satisfactorily substitutes for plate counts in evaluating antimicrobial technologies.

Original language	American English
Journal	Default journal
State	Published - Sep 1 2015

Keywords

AATCC Test Method 100
Antifungal
Antimicrobial
Fungi
Quantification

Disciplines

Medicine and Health Sciences

Access to Document

https://www.ingentaconnect.com/content/aatcc/jor/2015/00000002/00000005/art00003

Cite this

@article{f7b19ee548f74156a9035b18a1203528,

title = "Evaluation of a Most Probable Number Quantitation System with a Modified AATCC Test Method 100 for Measuring Fungal Growth",

abstract = " Industrial testing for bacterial growth on commercial substrates is highly efficient, with high-throughput means for quantifying growth. However, current antifungal testing is mostly subjective, with quantitative tests reliant on labor-intensive colony counting. We evaluated the use of a commercially available most probable number (MPN) system for quantifying growth of mold in a modified version of the AATCC Test Method (TM) 100. Using the MPN system, we were able to detect up to a 3.7-fold log reduction in mold growth between antifungal treated and untreated fabric samples. Using agar plate counts in parallel, we reproduced the trends observed using the MPN system. The trends in log reduction of growth correlated well and confirm that the MPN system satisfactorily substitutes for plate counts in evaluating antimicrobial technologies.",

keywords = "AATCC Test Method 100, Antifungal, Antimicrobial, Fungi, Quantification",

author = "Price, {Michael S} and Jesse Turmenne and Sloan, {Gina P}",

year = "2015",

month = sep,

day = "1",

language = "American English",

journal = "Default journal",

}

TY - JOUR

T1 - Evaluation of a Most Probable Number Quantitation System with a Modified AATCC Test Method 100 for Measuring Fungal Growth

AU - Price, Michael S

AU - Turmenne, Jesse

AU - Sloan, Gina P

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Industrial testing for bacterial growth on commercial substrates is highly efficient, with high-throughput means for quantifying growth. However, current antifungal testing is mostly subjective, with quantitative tests reliant on labor-intensive colony counting. We evaluated the use of a commercially available most probable number (MPN) system for quantifying growth of mold in a modified version of the AATCC Test Method (TM) 100. Using the MPN system, we were able to detect up to a 3.7-fold log reduction in mold growth between antifungal treated and untreated fabric samples. Using agar plate counts in parallel, we reproduced the trends observed using the MPN system. The trends in log reduction of growth correlated well and confirm that the MPN system satisfactorily substitutes for plate counts in evaluating antimicrobial technologies.

AB - Industrial testing for bacterial growth on commercial substrates is highly efficient, with high-throughput means for quantifying growth. However, current antifungal testing is mostly subjective, with quantitative tests reliant on labor-intensive colony counting. We evaluated the use of a commercially available most probable number (MPN) system for quantifying growth of mold in a modified version of the AATCC Test Method (TM) 100. Using the MPN system, we were able to detect up to a 3.7-fold log reduction in mold growth between antifungal treated and untreated fabric samples. Using agar plate counts in parallel, we reproduced the trends observed using the MPN system. The trends in log reduction of growth correlated well and confirm that the MPN system satisfactorily substitutes for plate counts in evaluating antimicrobial technologies.

KW - AATCC Test Method 100

KW - Antifungal

KW - Antimicrobial

KW - Fungi

KW - Quantification

UR - https://digitalcommons.liberty.edu/lucom_fac_pubs/41

UR - https://www.ingentaconnect.com/content/aatcc/jor/2015/00000002/00000005/art00003

M3 - Article

JO - Default journal

JF - Default journal

ER -

Evaluation of a Most Probable Number Quantitation System with a Modified AATCC Test Method 100 for Measuring Fungal Growth

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Cite this