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

Research output: Contribution to journal › Article

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	Undefined/Unknown
Journal	Faculty Publications and Presentations
State	Published - Sep 1 2015
Externally published	Yes

Access to Document

http://digitalcommons.liberty.edu/lucom_fac_pubs/41

Cite this

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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.",

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AU - Sloan, Gina P.

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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.

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