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American Journal of Food Technology

Year: 2011 | Volume: 6 | Issue: 11 | Page No.: 951-962
DOI: 10.3923/ajft.2011.951.962
Validation of the Micro Biological Survey Method for Total Viable Count and E. coli in Food Samples
Giorgia Bottini, Francesca Losito, Alessio De Ascenti, Francesca Romana Priolisi, Alberto Mari and Giovanni Antonini

Abstract: The aim of this study was the validation of the Micro Biological Survey (MBS) method for microbiological analysis of food for Total Viable Count (TVC) and Escherichia coli (E. coli). The MBS method is a rapid quantitative alternative method for the detection and selective counting of bacteria in agro-food, in water and in environmental samples. It is based on colorimetric survey in mono-use disposable reaction vials that must be filled with the samples without any preliminary treatment (e.g., homogenization, dilution, etc.); the greater the number of bacteria presents into the sample, the faster the color change. However, an independent evaluation of the analytical results obtained with MBS method would be required before commercialization. Therefore, this alternative method was validated in comparison to the reference method. The general estimate of precision, reliability, uncertainty, linearity, accuracy and selectivity were determined. All the performance parameters have demonstrated total correlation between the alternative method and the reference method for the detection and counting of TVC and E. coli both in artificially contaminated and in naturally contaminated samples. MBS assay can be used as rapid and user friendly screening method for detection of TVC and E. coli in food industry.

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How to cite this article
Giorgia Bottini, Francesca Losito, Alessio De Ascenti, Francesca Romana Priolisi, Alberto Mari and Giovanni Antonini, 2011. Validation of the Micro Biological Survey Method for Total Viable Count and E. coli in Food Samples. American Journal of Food Technology, 6: 951-962.

Keywords: Food microbiological analysis, total viable count, E. coli, alternative microbiological method and food safety

INTRODUCTION

Microbial analysis of food is an integrated part of the management of microbial safety in the food chain. The hygiene process criteria for many foodstuffs now include a test for Total Viable Count (TVC) and Escherichia coli. TVC gives a quantitative idea of the presence of mesophilic aerobic microorganisms of animal origin (ISO 4833, 2003). It serves as important criteria for evaluating the microbial quality of various foods and also degree of freshness of food (Nanu et al., 2007). E. coli is part of the normal microflora of the gastrointestinal tract of mammals and birds. As early as the 19th century, E. coli was recognized as a good indicator of faecal contamination. It is the only species in the coliform group found exclusively in the intestinal tract of humans and other warm-blooded animals, excreted in large numbers (ca., 109 CFU g-1) in faeces (Cabral, 2010). Some strains have developed an ability to cause disease in the gastrointestinal, urinary or central nervous system in even the most robust human hosts. The worldwide majority of the cases of the disease are caused by strains of serotype O157:H7, an enterohemorrhagic E. coli (EHEC). It can colonize the intestine of humans and cause diarrhea, hemorrhagic colitis and hemolytic-uremic syndrome (Yin et al., 2011; Nataro and Ketalaper, 1998).

Both control authorities and individual food business operators use microbial analysis for the purpose of monitoring the microbiological quality of raw materials and finished products and the microbiological status of manufacturing procedure. Even for compliance testing or assessment of Hazard Analysis Critical Control Points (HACCP) management strategies, microbial analysis is a valuable tool (Nicolas et al., 2007; Jasson et al., 2010). Standardized methods (e.g. ISO methods) are acknowledged as the reference analytical methods for official control. These standardized methods are based on traditional microbiological culture standard methods that are widely used in food analysis laboratories. These techniques present several difficulties, such as the subjectivity in the interpretation of some biochemical or morphological tests and the possible interference of matrices, specially when they present high levels of contamination. In addition, they are characterized by the high cost of the method, both in terms of labor and supplies and above all, by the long time needed to obtain definitive results (from 3 to 7 days) (Thomas et al., 2009). These reasons have led to the development and refinement of alternative microbiological methods of analysis (Mandal et al., 2011). Such alternative methods are quicker and easier to perform than the corresponding reference method and some can also be automated (Feng, 1996). Therefore, the prerequisite for the sale and use of any alternative method is to provide evidence that this could yield results which are equivalent to those provided by the corresponding reference method. The suppliers of the alternative methods, the food and drink industry, the public health services and other authorities need a reliable common protocol for the validation of such alternative methods. As a result, ISO 16140 (2003) represents a key issue (Feinberg et al., 2009).

In this context, MBS srl (a spin-off of Roma Tre University, Rome, Italy) has developed an alternative method, called Micro Biological Survey (MBS) method. It is a colorimetric fast system for the detection and the selective counting of bacteria present in agro-food, in water and in environmental samples. The MBS method consist of an analytical kit utilizing disposable, ready-to-use reaction vials for fast microbiological analyses. The analysis is based on the color change of the vial content which is induced by the presence of bacteria. The analyses can be carried out by untrained personnel and anywhere where they are necessary, without the need for any other instrumentation than a thermostat provided on request. The MBS method measures the catalytic activity of the redox enzymes in the main metabolic pathways of bacteria (Shultz and Chan, 2001; Slater, 2003; Antonini et al., 2007) which allows an unequivocal correlation between the observed enzymatic activity and the number of viable cells present in the samples. The time required for a color change is inversely related to the log of bacterial concentration; like an enzymatic reaction, the greater the number of bacteria, the faster the color change (Berlutti et al., 2003). The goal of the present study was the primary validation of the MBS method in accord with ISO 4833 (2003) for both TVC and E. coli assays.

MATERIALS AND METHODS

This study was initiated in 2009, lasting about two years for conclusion.

Statistical analysis on artificially contaminated water samples: A comparison between the colorimetric MBS method and the plate count method for the detection and differential count of TVC and E. coli in artificially contaminated samples was performed according to ISO/IEC 170 25 (2005) following the International Standards ISO/TR 13843 (2000), using as reference methods those described by ISO 9998 (1991).

Bacterial strains: All the strains used in this statistical analysis were available at ATCC (American Type Culture Collection). The strains used in this statistical analysis were Salmonella typhimurium (ATCC 14028), Pseudomonas aeruginosa (ATCC 27853), Listeria innocua (ATCC 33090), Escherichia coli (ATCC 25992), Escherichia coli O157:H7 (ATCC 35150), Staphylococcus aureus (ATCC 12600) and Enterococcus faecalis (ATCC 29212).

Preparation of artificially contaminated samples: Sterile water samples were contaminated with a mixture of the above indicated microorganisms coming from overnight cultures with serial dilutions in sterile saline solution up to 10-8. Ten different dilutions of ten different samples were analyzed for both TVC and E. coli. Each dilution was tested in duplicate with both the MBS method and the plate counting reference method.

Colorimetric MBS method procedure: The analytical procedure for the quantitative colorimetric MBS method is based on colorimetric survey, using a redox indicator of the change of the oxidoreductive state in the reaction medium. For the analysis by the MBS method, ready-to-use MBS vials, sterilised and containing the reagent for the analysis were used. Two different kinds of vials were used: the vials for TVC analysis and the vials for E. coli analysis. To carry out the analysis, 10 mL of sterile distilled water and 1 mL of the samples were added to a vial of one or another type, depending on the type of analysis to be carried out. The vial was shaken until all the reagent was dissolved. Later on, the vial was incubated at 30°C for TVC or at 44°C for E. coli. The TVC which were detected and counted by MBS are defined as aerobic microorganisms able to grow in a complete medium. The E. coli are defined, according to European Directive 91/492/CEE, as thermophilic coliforms that produce indole from tryptophan after incubation at 44±2°C for 24 h. The starting colors are blue for TVC vials and reddish for E. coli vials and in the presence of microorganisms, the colors of the vials changed to yellow color indicating a positive result. The time for the yellow color development is inversely related to the bacterial content of the analysed sample. The persistence of the starting color after 24 h indicates a negative result, i.e., absence of microorganisms. The E. coli confirmation test was carried out by adding few drops of the Kovac's reagent (isoamyl alcohol, p-Dimethylaminobenzaldehyde, concentrated hydrochloric acid) after color change from reddish to yellow occurred in E. coli MBS vials. The development of a red ring revealed the production of indole (MacFaddin, 1980).

Reference method ISO 9998 (1991): One hundred microliter of the different samples were plated on Tryptic Soy Agar (TSA; Sigma Chemical CO., St. Louis) for TVC and on Tryptone Bile X-Glucuronide Agar (TBX; Cultimed, Barcelona, Spagna) for E. coli (MacFaddin, 1980). Then the plates were incubated at 30°C for TVC and at 44°C for E. coli. During TVC plate count all colonies visible after 24 and 36 h on TSA were considered positive while during E. coli plate count only blue colonies on TBX were considered positive. For the statistical analysis, only the positive plates containing less than 300 colonies were utilized.

Statistical analysis: Statistical analysis was carried out according to ISO/TR 13843 (2000). One-way analysis of variance and two-way analysis of variance were performed to determine the general estimate of precision in the colorimetric method when using it as compared to the reference method of plate counting. The reliability was calculated using statistical analysis of Coefficient of Variation (CV). Uncertainty was calculated using the statistical analysis of chi-square test (χ2).

Primary validation: The primary validations of MBS method for TVC and for E. coli on food samples were made according to ISO 16140 (2003).

Bacterial strains: All the strains used in this validation were available at ATCC (American Type Culture Collection). The strains used in this validation were E. coli (ATCC 25992), E. coli O157: H7 (ATCC 35150), C. freundii (ATCC 43864), K. pneumoniae (ATCC 13883), E. cloacae (ATCC 13047), E. sakazakii (ATCC 51329), S. enteritidis (ATCC 13076) and S. typhimurium (ATCC 14028), Y. enterocolitica (ATCC 19543), B. cereus (ATCC 11778), B. stearothermophilus (ATCC 24567), B. subtilis (ATCC 6633), L. innocua (ATCC 33090), L. ivanovii (ATCC 19119), L. monocytogenes (ATCC 7644), S. aureus (ATCC 12600), S. epidermidis (ATCC 12228), S. lentus (ATCC 29070), P. aeruginosa (ATCC 27853), R. equi (ATCC 31543), E. faecalis (ATCC 29212), L. delbrueckii subsp. lactis (ATCC 12315), C. perfringens (ATCC 13124), A. niger (ATCC 9642) and S. cerevisiae (ATCC 9763).

Preparation of artificially contaminated samples: Sterile water samples were contaminated with a mixture of the above indicated microorganisms coming from overnight cultures with serial dilutions in sterile saline solution up to 10-8. To verify the equivalence between the MBS method and the reference method the samples were simultaneously tested.

Preparation of different levels of contamination of naturally contaminated food samples: Five different food matrices were selected for validation. They were cheese, white meat, red meat, vegetable and fruit. Only the samples naturally contaminated were selected for the experiments. Baby food of the same foodstuffs typologies were used as a negative control, because they were definitely not contaminated. Five different levels of contamination of naturally contaminated samples were obtained as follows: 10±0.5 g of naturally contaminated samples were homogenized in 90 mL of peptone water by a stomacher according to ISO 16140 (2003). Then homogenates were incubated for different times and different temperatures obtaining different levels of contamination. To verify the equivalence between the MBS method and the reference method, the samples were simultaneously tested.

Colorimetric MBS methods procedure: Analysis with the MBS method was carried out as previously described.

Reference method: For TVC the reference method was plate count on Plate Count Agar (PCA; Liofilchem, Roseto degli Abbruzzi, Italy) after 72 h according to ISO 4833 (2003). For E. coli it was plate count on Tryptone Bile X-GLUC Agar (TBX; Cultimed, Barcelona, Spagna) after 24 h according to ISO 16649-2 (2001).

Data analysis: Data analysis was carried out according to ISO 16140 (2003). For the validation of MBS method 3 parameters were analyzed: linearity, accuracy and selectivity. The linearity of the method was assessed by analyzing the correlation using a plot of bacteria concentrations (expressed as CFU mL-1) against the time occurred for color change. The accuracy was assessed by analyzing the correlation using a plot of bacteria concentrations (expressed as log CFU mL-1) obtained with the reference method with the alternative method MBS. Selectivity of the MBS method for E. coli was observed by comparing MBS method with the reference method on both artificially contaminated samples and naturally contaminated samples.

RESULTS

Statistical analysis on artificially contaminated water samples: Sterile water was initially used to avoid any chemical interference due to organic matrices. In MBS colorimetric method the change of the starting color of the vials from blue for TVC and reddish for E. coli to yellow color indicates a positive result, presence of microorganisms. The time occurred for color change is inversely related to bacteria content of analysed samples (Fig. 1a, b). The water samples were artificially contaminated (see Materials and Methods). The statistical analysis for the MBS method on TVC and on E. coli vials was carried out according to ISO/TR 13843 (2000) using as reference method the plate counting method ISO 9998 (1991) on ten different dilutions of ten different samples. MBS reliable operating limits were comparable to the reference methods for plate counts at concentrations between 1x107 and <10 CFU mL-1. The results of the statistical analysis are shown on Table 1 and are expressed in terms of (1) Estimate of Precision; (2) Coefficient of Variance and (3) Uncertainty. General estimate of precision was made according to ISO/TR 13843 (2000) using Analysis of Variance (ANOVA) tests. Results obtained by both one-way analysis of variance and two-way analysis of variance have shown that there were no statistical differences on bacterial count between the results obtained with MBS method and the results obtained with the reference method.

Fig. 1(a-b):
Linearity: correlation line between analytes (TVC and E. coli) concentration with the time occurred for color change in the MBS vials. Using naturally contaminated food samples, bacteria numbers (expressed as the log of CFU mL-1) obtained with the reference method are plotted against the time occurred for color change of the identical samples analyzed with MBS method. A linear inverse relationship between the time occurred for color change in the MBS vials and the bacteria concentration could be observed on five different food matrices with either TVC vials or E. coli vials. The correlation factor (R2) is 0.95 for TVC and 0.98 for E. coli

Table 1:
Statistical analysis carried out on the MBS method on TVC and E. coli according to the ISO/TR 13843 (2000)
F: ANOVA F-test, CV: Coefficient of variation, DF: Degrees of freedom, χ2: Chi-square test

The reliability of the bacterial count using MBS method was also assessed by statistical analysis using Coefficient of Variation (CV) analysis according to ISO/TR 13843 (2000). It appeared that the MBS method was more reliable than the reference method. Likewise, the uncertainty of the bacterial count using MBS method was less than that of the reference method as determinated by χ2 statistical test according to ISO/TR 13843 (2000).

Primary validation: The primary validation of the MBS method for TVC and for E. coli was made according to ISO 16140 (2003). The main performance parameters which the alternative method must demonstrate are: linearity, accuracy and selectivity.

Linearity is the ability of the method when used with a given matrix to give results that are in proportion to the amount of analyte present in the sample. An increase in analyte should correspond to a linear or proportional increase in results (ISO 16140, 2003). This was achieved graphically as illustrated in Fig. 1 by plotting bacteria numbers (expressed as the log of CFU mL-1) obtained with the reference methods for TVC and E. coli with the time occurred for color change of the identical samples analyzed with MBS methods for TVC and E. coli. A linear inverse relationship between the MBS methods and the bacteria concentration, with a correlation factor (R2) close to 1.00, confirming the linearity of the data, can be observed.

Accuracy is the degree of correspondence between the response obtained by the reference method and the response obtained by the alternative method on identical samples. The term relative accuracy used here is complementary to the “accuracy” and “trueness” as defined in ISO 5725-1:1994/COR 1 (1998). This states that accuracy is “the closeness of agreement between a test result and the accepted reference value” and that trueness is "the closeness of agreement between the average value obtained from a large series of test results and an accepted reference value". For the purpose of this standard, the accepted reference values are chosen as the values obtained by the reference method. Thus, the term "relative" implies that the reference method does not automatically provide the accepted reference value as indicated by ISO 16140 (2003). In Fig. 2a and b the bacteria numbers (expressed as log CFU mL-1) obtained with the reference counting methods for TVC and E. coli are plotted against the bacteria numbers (expressed as log CFU mL-1) obtained with the alternative MBS method for TVC and E. coli.

Fig. 2(a-b):
Accuracy: correlation line between alternative MBS methods and reference methods (TVC and E. coli). Using naturally contaminated food samples, bacteria numbers (expressed as the log of CFU mL-1) obtained with the reference method are plotted against bacteria numbers (expressed as the log of CFU mL-1) obtained with MBS method on identical samples. A good correlation between the bacteria numbers (expressed as log CFU mL-1) obtained with the traditional counting method and the alternative MBS method could be observed. In fact the slope is close to the theoretical value 1.00 (i.e. 1.00 for TVC and 0.99 for E. coli). The correlation factor (R2) is 0.94 for TVC and 0.99 for E. coli

The straight lines in both graphs show a perfect correlation between the reference methods and the MBS methods. In fact the slopes are close to theoretical value of 1.00.

Selectivity is the ability of an alternative method to detect the target analyte from a wide range of strains and is the lack of interference from a relevant range of non-target strains of the alternative method as indicated by ISO 16140 (2003). Among different inoculations only the vial inoculated with E. coli shows a change of the color from red to yellow. Table 2 shows the lowest detection limit (expressed as CFU mL-1) of the MBS vials for TVC and for E. coli towards different bacterial strains in artificially contaminated samples. The lowest detection limit represents the minimal bacterial quantity required for inducing the color change in either MBS vials for TVC or for E. coli. The lowest detection limit is utilized to assess of the MBS vial selectivity. It could be noted that, using the E. coli vials, very high concentrations of all the bacteria other than E. coli were required for inducing the color change (i.e., a positive result of the test) while just one E. coli cell (on average) was sufficient to induce the color change of the same vials. These results indicate that the E. coli vials are selective for E. coli, although the E. coli vials showed a lower selectivity towards other coliforms strains, medium level selectivity towards Enterobacteriaceae and a higher selectivity towards Gram-positive bacteria. On the contrary, using TVC vials, just one cell of all the aerobic bacteria strains (on average) was sufficient to induce the color change, indicating the very low selectivity of the TVC vials.

Table 3 shows the results obtained with MBS method and reference method to detect E. coli in naturally contaminated samples of 5 different food matrices. Both methods have identified 100 target strains on 100 as positives, with total absence of false negatives; moreover both have identified 25 non target strains on 25 with a total absence of false positives.

Table 2:
Results of selectivity tests
The lowest detection limit represents the minimal bacterial quantity of each bacterial strain required for inducing the color change in the corresponding MBS vials for TVC or E. coli

Table 3:
Results for the selectivity test on E. coli vials using naturally contaminated samples of five different food matrices
The food matrices utilized were cheese, white meat, red meat, vegetable, fruit. Both methods have been used to identify 100 target strains on 100 as positives, with total absence of false negatives; moreover both have identified 25 non target strains on 25 with total absence of false positives

DISCUSSION

In recent years, the need for the food industry to rapidly assess the microbiological quality of raw materials and finished products, has led to the development and refinement of alternative microbiological methods of analysis. Such alternative methods are quicker and easier to perform than the corresponding reference method (Feinberg et al., 2009). In this context, the goal of the present study was the primary validation of the Micro Biological Survey (MBS) method for both TVC and E. coli, defined, according to European Directive 91/492/CEE, as thermophilic coliforms that produce indole from tryptophan after incubation at 44±2°C for 24 h.

The MBS method is a colorimetric fast system for the detection and selective counting of bacteria in agro-food, in water and in environmental samples. The MBS method measures the catalytic activity of redox enzymes of the main metabolic pathways of bacteria (Shultz and Chan, 2001; Slater, 2003; Antonini et al., 2007), allowing an unequivocal correlation between the observed enzymatic activity and the number of viable cells present in the samples. The time required for color change is inversely related with the log of bacterial concentration; like an enzymatic reaction, the greater the number of bacteria, the faster the color change (Berlutti et al., 2003). The results reported in this study further support the previous findings concerning the existence of a stringent correlation between metabolic activity of bacteria and the number of viable cells.

Validation aims to compare the results obtained with an alternative method, in this case the MBS method, with the results obtained with the reference method verifying the equivalence between the two methods by looking at linearity, accuracy and selectivity. The results were statistically analyzed and compared according to the norm ISO/IEC 17025 (2005) and ISO 16140 (2003) verifying the equivalence between the two methods. All the performance parameters indicated a total equivalence between the reference method and the MBS method for detection and counting of TVC and E. coli in artificially contaminated water samples and in naturally contaminated food samples. When a method is validated for environmental sample analysis, it is important to include naturally contaminated samples. In this study, we have selected five different food matrices: cheese, vegetable, white meat, red meat and fruit.

The validation of the MBS method strongly supports its use as an alternative method for food analysis. The linearity over a range of bacterial concentrations was excellent. The selectivity was more than satisfactory with the absence of false negatives and false positives. The accuracy, evaluated on 125 naturally contaminated samples, showed a high correlation between the MBS method and the reference methods.

Comparing the MBS method to other analytical methods currently in use the following considerations come to light. With traditional count plate methods bacteria replication can be observed with the naked eye but greater expertise in the operators and operational complexity are required. On the other hand, alternative methods often turn out to be very expensive also requiring highly equipped laboratories. The use of immunological or genetic probes (with the assistance of PCR to increase sensitiveness) had a great impact in microbial analysis (Thacker et al., 1996; Sherfi et al., 2006; Settanni and Corsetti, 2007; AL-Haj et al., 2008; Parekh and Subhash, 2008; Cook et al., 2011; Loongyai et al., 2011). Indeed they are very quick and sensitiveness can be improved by using automated o semi-automated systems. The disadvantages are not only related to the need for specialized personnel and equipment but also for an high limit of sensitiveness (immunological methods) and/or complexity and high costs of analysis (genetic methods). In addition the exact quantification of the number of bacteria over a large range of concentrations is not always possible. Colorimetric methods currently available are mainly based upon microorganisms secondary metabolism measuring. One of these methods detects the presence of E. coli on the basis of the activity of the enzyme β-glucuronidase (Al-Turki and El-Ziney, 2009). However, it should be mentioned that using this method it is not possible to detect the pathogenic, although relatively uncommon forms E. coli O157: H7 verocytotoxin producers (Ling et al., 2000; Donkor et al., 2008) which do not exhibit β-glucuronidase activity (Thompson et al., 1990; Karmali et al., 2010). Instead, E. coli O157: H7 is detected by the MBS method on the basis of its indole production from tryptophan.

For the above reported reasons, the MBS method can represent a worthy aid in food screening without replacing the analysis carried out with traditional methods which are very precise though often long and complex.

CONCLUSIONS

The validation here reported provided evidence that the MBS method for TVC and E. coli gives similar results and is in agreement with the reference methods, also confirming the better reproducibility, specificity and selectivity of the MBS method. MBS method could therefore become a valid support for the control procedures for all the food farming companies willing to do a microbiological screening over their products to ensure utterly complete hygienic production.

ACKNOWLEDGMENTS

This study was supported by a grant from Italian Ministry of University and Research (Decreto No. 2933/2006 ex art.11 DM 593/2000).

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