E Li1, R Mira de Orduña. 1. College of Enology, Northwest A&F University, Yangling, Shaanxi, China.
Abstract
AIMS: Microbial biomass is an important biotechnological parameter. The traditional method for its determination involves an oven-drying step and equilibration to room temperature before weighing, and it is tedious and time consuming. This work studied the utilisation of a moisture analyser consisting of an efficient infrared-heating module and an analytical balance for the determination of microbial biomass by dry weight. METHODS AND RESULTS: The method duration depended on the sample volume and was between 7 and 40 min for sample volumes of 1-10 ml. The method precision depended on the total dry weight analysed - 10 mg of total dry weight being sufficient to achieve coefficients of variation of 5% or less. Comparison with the conventional oven method provided a correlation coefficient r(2) of 0.99. The recovery of an internal standard ranged between 94.2 and 106.4% with a precision of 1.39-4.53%CV. CONCLUSIONS: Validation revealed sufficient method accuracy, precision and robustness and was successfully applied to the study of yeast and bacterial growth kinetics. Techniques are discussed that allow for increased method precision at low biomass concentrations, and equations are provided to estimate required drying time and method precision based on sample volume and total sample dry weight, respectively. SIGNIFICANCE AND IMPACT OF THE STUDY: This work presents a rapid method for the determination of microbial biomass, allowing for the timely implementation of biomass-based information in biotechnological and laboratory protocols.
AIMS: Microbial biomass is an important biotechnological parameter. The traditional method for its determination involves an oven-drying step and equilibration to room temperature before weighing, and it is tedious and time consuming. This work studied the utilisation of a moisture analyser consisting of an efficient infrared-heating module and an analytical balance for the determination of microbial biomass by dry weight. METHODS AND RESULTS: The method duration depended on the sample volume and was between 7 and 40 min for sample volumes of 1-10 ml. The method precision depended on the total dry weight analysed - 10 mg of total dry weight being sufficient to achieve coefficients of variation of 5% or less. Comparison with the conventional oven method provided a correlation coefficient r(2) of 0.99. The recovery of an internal standard ranged between 94.2 and 106.4% with a precision of 1.39-4.53%CV. CONCLUSIONS: Validation revealed sufficient method accuracy, precision and robustness and was successfully applied to the study of yeast and bacterial growth kinetics. Techniques are discussed that allow for increased method precision at low biomass concentrations, and equations are provided to estimate required drying time and method precision based on sample volume and total sample dry weight, respectively. SIGNIFICANCE AND IMPACT OF THE STUDY: This work presents a rapid method for the determination of microbial biomass, allowing for the timely implementation of biomass-based information in biotechnological and laboratory protocols.
Authors: Angela Contreras; Magdalena Ribbeck; Guillermo D Gutiérrez; Pablo M Cañon; Sebastián N Mendoza; Eduardo Agosin Journal: Front Microbiol Date: 2018-03-01 Impact factor: 5.640