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The CDC Biofilm Reactor method is the standard biofilm growth protocol for the validation of US Environmental Protection Agency biofilm label claims. However, no studies have determined the effect of coupon orientation within the reactor on biofilm growth. If positional effects have a statistically significant impact on biofilm density, they should be accounted for in the experimental design. Here, we isolate and quantify biofilms from each possible coupon surface in the reactor to quantitatively determine the positional effects in the CDC Biofilm Reactor. The results showed no statistically significant differences in viable cell density across different orientations and vertical positions in the reactor. Pseudomonas aeruginosa log densities were statistically equivalent among all coupon heights and orientations. While the Staphylococcus aureus cell growth showed no statistically significant differences, the densities were not statistically equivalent among all coupon heights and orientations due to the variability in the data. Structural differences were observed between biofilms on the high-shear baffle side of the reactor compared to the lower shear glass side of the reactor. Further studies are required to determine whether biofilm susceptibility to antimicrobials differs based on structural differences attributed to orientation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Aims: Microbial samples are often serially diluted to estimate the number of microbes in a sample, whether as colony-forming units of bacteria or algae, plaque forming units of viruses, or cells under a microscope. There are at least three possible definitions for the limit of detection (LOD) for dilution series counts in microbiology. The statistical definition that we explore is that the LOD is the number of microbes in a sample that can be detected with high probability (commonly 0.95)., Methods and Results: Our approach extends results from the field of chemistry using the negative binomial distribution that overcomes the simplistic assumption that counts are Poisson. The LOD is a function of statistical power (one minus the rate of false negatives), the amount of overdispersion compared to Poisson counts, the lowest countable dilution, the volume plated, and the number of independent samples. We illustrate our methods using a data set from Pseudomonas aeruginosa biofilms., Conclusions: The techniques presented here can be applied to determine the LOD for any counting process in any field of science whenever only zero counts are observed., Significance and Impact of Study: We define the LOD when counting microbes from dilution experiments. The practical and accessible calculation of the LOD will allow for a more confident accounting of how many microbes can be detected in a sample., Competing Interests: Declaration of Competing Interest No conflict of interest declared., (Copyright © 2023 Elsevier B.V. All rights reserved.)

The development, validation, and use of new quantitative methodologies for testing the effectiveness of antimicrobial products are necessary to meet the regulatory challenges associated with an ever-changing marketplace, novel product claims, new infection control practices, and the emergence of new clinical pathogens. A series of four interlaboratory studies were conducted in a standardized manner on an interim quantitative method for testing liquid treatments against bacteria to assess its statistical performance. The Quantitative Method, a derivative of ASTM E2197, is designed to enumerate the number of viable microbes remaining on a test carrier following exposure to a liquid antimicrobial treatment; a log 10 reduction (LR) in viable bacteria is calculated based on the difference between the mean log 10 density values of the untreated control and treated carriers. The Quantitative Method uses 1 cm diameter disks (carriers) of brushed stainless steel as the material to represent a hard, non-porous surface. The LR value is used as the measure of product effectiveness, where higher LR values are indicative of greater microbial kill. The test microbes were Staphylococcus aureus, Pseudomonas aeruginosa, and Mycobacterium terrae. The liquid antimicrobial treatments used in these studies were highly relevant to those in the marketplace and provided a wide range of mean LR outcomes. The focus of the statistical assessment was on the repeatability of the LRs across experiments within a lab (S r ) and the reproducibility of the LRs across labs (S R ). Due to the additional sources of variability, the S R is expected to be higher than the variability within a laboratory (S r ); this was observed in the studies reported here. Across the studies, the S r values for LR were small (i.e., less than 0.84), most notably for treatments generating high mean LRs (5 or above) where the S r was as small as 0.12. Overall, the S R values ranged from 0.227 to 1.217. Only three of the twenty-four treatment combinations over the study period resulted in S R values above 1.0 - the associated LRs for the three treatments ranged from 2.22 to 3.26. Antimicrobial treatments with a LR of 4.5 or higher exhibited S R of 0.561 or less. The statistical attributes reported here for the draft Quantitative Method when used to test P. aeruginosa, S. aureus, and M. terrae provide information for decision makers when considering the method as a candidate regulatory procedure. The data and statistical analyses contained in this report are historical in nature and provide useful baseline information for individuals conducting additional technical review of the method. Based on the data, the Quantitative Method displays a statistical profile consistent with other standard methods approved by standard-setting organizations where method performance data are available., (Published by Elsevier B.V.)

Beer's Law explains how light attenuates into thick specimens, including thick biofilms. We use a Bayesian optimality criterion, the maximum of the posterior probability distribution, and computationally efficiently fit Beer's Law to the 3D intensity data collected from thick living biofilms by a confocal scanning laser microscope. Using this approach the top surface of the biofilm and an optimal image threshold can be estimated. Biofilm characteristics, such as bio-volumes, can be calculated from this surface. Results from the Bayesian approach are compared to other approaches including the method of maximum likelihood or simply counting bright pixels. Uncertainty quantification (i.e., error bars) can be provided for the parameters of interest. This approach is applied to confocal images of stained biofilms of a common lab strain of Pseudomonas aeruginosa, stained biofilms of Janthinobacterium isolated from the Antarctic, and biofilms of Staphylococcusaureus that have been genetically modified to fluoresce green., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

A standard method for growing Pseudomonas aeruginosa biofilm in the Drip Flow Biofilm Reactor was assessed in a 10-laboratory study. The mean log density was 9.29 Log 10 (CFU/cm 2 ). The repeatability and reproducibility SDs were equal to 0.22 and 0.24, respectively, providing statistical confidence in data generated by the method., Competing Interests: Declaration of Competing Interest The authors have no conflict of interested or ethical concerns to report for this study., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Methods validated by a standard setting organization enable public, industry and regulatory stakeholders to make decisions on the acceptability of products, devices and processes. This is because standard methods are demonstrably reproducible when performed in different laboratories by different researchers, responsive to different products, and rugged when small (usually inadvertent) variations from the standard procedure occur. The Single Tube Method (ASTM E2871) is a standard method that measures the efficacy of antimicrobials against biofilm bacteria that has been shown to be reproducible, responsive and rugged. In support of the reproducibility assessment, a six-laboratory study was performed using three antimicrobials: a sodium hypochlorite, a phenolic and a quaternary/alcohol blend, each tested at low and high efficacy levels. The mean log reduction in viable bacteria in this study ranged from 2.32 to 4.58 and the associated reproducibility standard deviations ranged from 0.89 to 1.67. Independent follow-up testing showed that the method was rugged with respect to deviations in sonication duration and sonication power but slightly sensitive to sonicator reservoir degassing and tube location within the sonicator bath. It was also demonstrated that when a coupon was dropped into a test tube, bacteria can splash out of reach of the applied antimicrobials, resulting in substantial bias when estimating log reductions for the products tested. Bias can also result when testing products that hinder the harvesting of microbes from test surfaces. The culmination of this work provided recommended changes to the early version of the standard method E2871-13 (ASTM, 2013b) including use of splashguards and microscopy checks. These changes have been incorporated into a revised ASTM method E2871-19 (ASTM 2019) that is the basis for the first regulatory method (ATMP-MB-20) to substantiate "kills biofilm" claims for antimicrobials registered and sold in the US., (Copyright © 2019 Elsevier B.V. All rights reserved.)

The MBEC™ Physiology & Genetics Assay recently became the first approved ASTM standardized biofilm disinfectant efficacy test method. This report summarizes the results of the standardization process using Pseudomonas aeruginosa biofilms. Initial ruggedness testing of the MBEC method suggests that the assay is rugged (i.e., insensitive) to small changes to the protocol with respect to 4 factors: incubation time of the bacteria (when varied from 16 to 18h), treatment temperature (20-24°C), sonication duration (25-35min), and sonication power (130-480W). In order to assess the repeatability of MBEC results across multiple tests in the same laboratory and the reproducibility across multiple labs, an 8-lab study was conducted in which 8 concentrations of each of 3 disinfectants (a non-chlorine oxidizer, a phenolic, and a quaternary ammonium compound) were applied to biofilms using the MBEC method. The repeatability and reproducibility of the untreated control biofilms were acceptable, as indicated by small repeatability and reproducibility standard deviations (SD) (0.33 and 0.67 log10(CFU/mm(2)), respectively). The repeatability SDs of the biofilm log reductions after application of the 24 concentration and disinfectant combinations ranged from 0.22 to 1.61, and the reproducibility SDs ranged from 0.27 to 1.70. In addition, for each of the 3 disinfectant types considered, the assay was statistically significantly responsive to the increasing treatment concentrations., (Copyright © 2014 Elsevier B.V. All rights reserved.)