EVALUATION OF THE METROLOGICAL PARAMETERS OF METHODS FOR QUANTITATIVE DETERMINATION OF ACTIVE MICROBIAL STRAINS OF GENERA PSEUDOMONAS AND BACILLUS IN THE AIR OF BIOTECHNOLOGICAL PRODUCTION ZONE

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February – March, 2019, vol. 8, no. 4
pages: 1054-1056
Article type: Microbiology of Microbiology
DOI: 10.15414/jmbfs.2019.8.4.1054-1056
Abstract: Provision of safety and sanitary-hygienic control of biotechnological processes poses a special medical-biological challenge requiring elaboration and metrological assessment of quantitative methods, which determine concentrations of microorganisms-producers in air of manufacturing zone in compliance with the criteria of the International Organization for Standardization. The results of experimental modeling of microbial sprays comprising bacteria of genera Bacillus and Pseudomonas in air of the production zone as the risk factor affecting health of bioindustry employees have enabled to calculate metrological parameters of methods to control microorganisms-constituents of monocomponent and bicomponent biological preparations. Such metrological parameters (standard deviation of repeatability, standard deviation of intermediate precision, expanded uncertainty) match the requirements set to the measurement methods at the accepted confidential probability level p=95 % and ensure proper control of biotechnological processes.
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EVALUATION OF THE METROLOGICAL PARAMETERS OF METHODS FOR QUANTITATIVE DETERMINATION OF ACTIVE MICROBIAL STRAINS OF GENERA PSEUDOMONAS AND BACILLUS IN THE AIR OF BIOTECHNOLOGICAL PRODUCTION ZONE


AUTHORS

Natalia Dudchik, Vasiliy Filаnyuk, Vitaliy Shevlyakov, Sergei Sychik

ABSTRACT

Provision of safety and sanitary-hygienic control of biotechnological processes poses a special medical-biological challenge requiring elaboration and metrological assessment of quantitative methods, which determine concentrations of microorganisms-producers in air of manufacturing zone in compliance with the criteria of the International Organization for Standardization. The results of experimental modeling of microbial sprays comprising bacteria of genera Bacillus and Pseudomonas in air of the production zone as the risk factor affecting health of bioindustry employees have enabled to calculate metrological parameters of methods to control microorganisms-constituents of monocomponent and bicomponent biological preparations. Such metrological parameters (standard deviation of repeatability, standard deviation of intermediate precision, expanded uncertainty) match the requirements set to the measurement methods at the accepted confidential probability level p=95 % and ensure proper control of biotechnological processes.


KEYWORDS

Microbial producers, Model experiment, Hygienic standards, Metrological characteristics

INTRODUCTION

One of rapidly developing trends of industrial biotechnology is manufacturing of microbial preparations to carry out biological control of diseases and to raise harvests of agricultural crops (Filаnyuk et al., 2018). However, biotechnological processes may be accompanied by contamination of production media with microbial strains further released into the air of the operation zone and surrounding atmosphere, with the subsequent deleterious impact on the health of the staff and local population. Contact with microbial sprays is a grave risk factor for personnel of biotechnological plants, because industrial strains possess a pronounced sensitizing capacity (Budanov, et al., 2010, Ivanov et al., 2007; Pivovarov et al., 2010; Rüdel et al., 2009; Rakhmanin et al., 2001; Sergeyuk et al., 2003; Sheina et al., 2005; 2010; 2010; 2016; 2017). Comprehensive toxicological and hygienic investigations conducted in Republic of Belarus included assessment of immunoallergological, hematological, dysbiotic and disseminating parameters and established hygienic standards and maximum permissible concentrations for over 100 microbial strains-producers in the air of the working zone (Filаnyuk et al., 2018; Shevlaykov et al., 2013, 2013, 2014). Effective control of biotechnological processes is grounded on application of validated instrumental methods for quantitative estimation of microbial concentrations. It is of principal significance that the technique evaluating the microbial cell titer in the air of the working zone must be developed, metrologically validated and approved before launching biotechnological process. It was shown earlier that laboratory modeling of microbial sprays at different levels of air contamination is a promising technology for elaboration of relevant quantitative determination methods, collection of statistical data, and computation of metrological parameters of the methods (Dudchik et al., 2016; Filаnyuk et al., 2018, 2015). Development of standardized and validated methods to measure concentrations of microbial strains-producers is a rather complicated analytical task taking into account numerous parameters of instrumental method (air sampling at various microbial contamination levels, diverse cultural conditions and identification procedures, etc.). Algorithms for calculating metrological characteristics of methods evaluating microbial status have been developed for such matrices as aquatic media, food products and have not been formulated so far for metrological parameters of measurements quantifying biological factor in air media (ISO/TS 19036, ISO 5725- 2).

It appears logical therefore, that this study was aimed at evaluation of operational characteristics of the methods for quantitative determination of microorganisms from genera Pseudomonas and Bacillus in the air of biotechnological manufacturing area based on massive experimental data modeling generation of microbial sprays in simulation chambers. The research was carried out in accordance with guidelines of good laboratory practice (GLP) and International Organization for Standardization (ISO) standards.

MATERIAL AND METHODS

Active microbial strains-producers

Bacillus subtilis M-22 (BIM-439D), Pseudomonas fluorescens S 32, Pseudomonas aurantiaca B-162/255.17, Bacillus sp. BB58-3 were chosen as objects of studies. The cultures are deposited at Belarusian collections of non-pathogenic microorganisms.

Microbial sprays modelling

The system generating liquid sprays in 250 liter chambers for toxicological trials (Spectrolab, Russia); aspirator SAS SUPER100 (PBI International, Italy), and standard equipment of microbiological laboratories were engaged in our investigations. Measuring devices and instruments were duly verified and calibrated. Phosphate buffer solution containing 0.1% peptone, pH 7.0, was used to prepare working dilutions of microbial preparations. Bacterial suspension with cell concentration of 1×106 CFU/ml was applied in microbial spray modeling experiments. Simulation of microbial sprays was performed using special chamber software. The volume of air samples varied in the range 10-50 liters depending on the concentration of microorganisms in the chamber. The samples collected in duplicate by aspiration technique were plated on the surface of the optimized agar media and incubated during (48±2) h at (30±0.5) ° C. Cultural-morphological peculiarities of the grown colonies were characterized and the typical colonies were counted.

Calculation of microorganisms concentration in the working area

Concentration of microorganisms X, CFU/m3 was calculated according to the following formula Equation (1):

X = (N × 1000) / V                                                                                                                                                                (1)

where:

X – concentration of microbial cells and spores in the air of the working zone;

N – the number of microbial colonies on Petri plate;

1000 – conversion coefficient per 1 m3 of air;

V – volume of the sample, dm3.

RESULTS AND DISCUSSION

Microorganisms representing genera Bacillus and Pseudomonas find relatively wide use as biological promoters of growth and development of agricultural crops and biological control agents (Table 1) (Dudchik et al., 2016; Filianuk et al., 2018; 2015; Shevlaykov et al. 2013; 2013; 2014). The promising microbial strains are presented and briefly characterized in Tab. 1.

Table 1 Main characteristics of active microbial strains

Biological function Strain properties and depository Sanitary-hygienic standards for the air of manufacturing zone
Biological control of clamp rot in sugar beet

.

Strain Bacillus subtilis M-22 (BIM-439D) was deposited at collection of non-pathogenic cultures, Institute of Microbiology, National Academy of Sciences of Belarus. The strain shows antagonistic activity against phytopathogenic microbiota 1000 CFU/m3
Stimulation of growth and development of cultivars Strain Pseudomonas fluorescens S 32 is a natural soil microorganism deposited at collection of department of molecular genetics, Belarusian State University. The strain is capable to colonize plant rhizosphere and vegetative system, causing a considerable favorable effect on growth and development of agricultural crops 1500 CFU/m3
Biological control and growth stimulation of farm crops Strain Bacillus sp. BB58-3 derived by induced mutagenesis from natural strain Bacillus sp. is antagonistic toward a broad spectrum of phytopathogenic fungi, not phytotoxic, promotes growth of agricultural crops. Strain Pseudomonas aurantiaca B-162/255.17 was produced by multistep mutagenic treatment of wild-type bacterial strain. It was deposited at collection of department of molecular genetics, Belarusian State University 5000 CFU/m3
Degradation of field stubble and straw, suppression of pathogenic microbiota and soil for preconditioning sowing campaign Strain Bacillus sp.-49 obtained by the selective procedure from enrichment culture is not zoopathogenic, not phytopathogenic. It displays high antimicrobial and cellulolytic activities. Strain Pseudomonas sp.-11 isolated from natural sources is not zoo- and not phytopathogenic, shows elevated cellulolytic and antimicrobial activities and ability to colonize plant rhizosphere and vegetative tissues. Both strains are maintained at collection of industrial microbial strains, Belarusian State University. 5000 CFU/m3

The technology designed for quantitative determination of microbial strains in the air of the production zone during model experiment is grounded on the classical stages and techniques of microbiological practice: air sampling by aspiration method taking into account the volume of the collected sample, microbial culture under optimal conditions, enumeration of grown colonies with typical morphological traits, identification of microorganisms and colonies, quantification of microorganisms on the plates followed by reconversion of the counted number per 1 m3 of air.

For metrological validation of applied measurement methods their operational characteristics were estimated in conformity with ISO guidelines: determination of precision values (repeatability and intermediate precision with a variable operator factor), parameters of expanded uncertainty and the others (Pivovarov et al, 2010, Rudel et al, 2009).

Results of p=15 series, each composed of n=2 single measurements were engaged in computation. Homogeneity of dispersion was verified in compliance with Cochran’s criterion. Cochran’s test statistics parameter Cr was calculated according to the Equation (2):

                  (2)

where

i – measurement series index, i=1,.., p, (p =15).

yi1, yi2 – measurement results, expressed in log10 CFU/m3 values in line with the Equation (3):

yi1 = log10xi111; yi2 = log10xi121                                                         (3)

The obtained test-statistics parameter Cr was compared with the Cochran’s critical value C (v=2; f=15; P=95%) =0.471.

Provided the Inequation (4)

Cr< C (v=2; f=15; P=95%)                                                         (4)

is valid it was assumed that statistical divergence and overs wings could be neglected.

Standard deviation of repeatability was estimated using the Equation (5):

                                                       (5)

 

The value of repeatability limit r, CFU/m3 was computed by the Equation (6)

r=2,8 Sr                                                                                                                      (6)

Calculation of standard deviation of intermediate precision was conducted according to the Equation (7):

                                                          (7)

 

where

Yn – measurement results expressed in log10 CFU/m3;

i – index of the sample, i=1..n (n=15)

a, b – index of operator factor, A or В.

The limit of intermediate precision rL(O), log10 CFU/m3, was determined by the Equation (8):

rL(O) =2,8∙ SI(O)                                                  (8)

Uncertainty of measurement was assessed in conformity with ISO/TS 19036; ISO 5725-2 standards.

Expanded uncertainty U with span coefficient 2 (approximately corresponding to confidential probability value 95 %) was calculated according to the Equation (9)

U=2 × S I(o),                               (9)

where

Sl(O) – standard deviation of intermediate precision, log10 CFU/m3.

Massive data collected in model experiments allowed to evaluate metrological characteristics of the methods (Tab. 2).

Table 2 Metrological characteristics of the quantitative determination methods

Metrological parameters

Values, log10 CFU/m3

Pseudomonas aurantiaca

B-162/255.1 +

Bacillus sp. BB58-3

Bacillus subtilis

M-22

Pseudomonas fluorescens S32
Standard deviation of repeatability Sr 0.012 0.039 0.088
Repeatability limit r 0.034 0.111 0.253
Standard deviation of intermediate precision Sl(O)) 0.147 0.052 0.124
The limit of intermediate precision rl(O) 0.411 0.152 0.324
Expanded uncertainty (k=2) U 0.303 0.112 0.232

CONCLUSION

Model experiments simulating generation of microbial sprays resulted in representative data enabling to estimate metrological characteristics of the methods for quantitative determination of concentrations of strains Pseudomonas aurantiaca B-162 / 255.17, Bacillus sp. BB58-3 and Pseudomonas fluorescens S32 in the air. It has been confirmed that the methods provide for strict sanitary control of microbial cell concentrations in the production zone to meet the established hygienic standards. Approaches were formulated to calculation of metrological parameters of quantitative determination methods controlling the level of microorganisms in the air of the work zone as a potential risk factor threatening health of personnel employed in biotechnological industry.

Acknowledgements: The authors express sincere gratitude to colleagues of the Belarusian State Institute of Metrology of the State Committee for Standardization of the Republic of Belarus.

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