Previous Article | Next Article 
Applied and Environmental Microbiology, March 2000, p. 1228-1232, Vol. 66, No. 3
0099-2240/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
A Flow Cytometry Method for Rapid Detection and
Enumeration of Total Bacteria in Milk
Thusitha S.
Gunasekera,*
Paul V.
Attfield, and
Duncan
A.
Veal
Centre for Fluorimetric Applications in
Biotechnology, Department of Biological Sciences, Macquarie University,
Sydney, New South Wales 2109, Australia
Received 30 August 1999/Accepted 1 December 1999
 |
ABSTRACT |
Application of flow cytometry (FCM) to microbial analysis of milk
is hampered by the presence of milk proteins and lipid particles. Here
we report on the development of a rapid (
1-h) FCM assay based on
enzymatic clearing of milk to determine total bacteria in milk. When
bacteria were added to ultra-heat-treated milk, a good correlation
(r
0.98) between the FCM assay and the more conventional methods of plating and direct microscopic counting was
achieved. Raw milk data showed a significant correlation
(P < 0.01) and a good agreement (r = 0.91) between FCM and standard plate count methods. The detection limit
of the FCM assay was
104 bacteria ml of
milk
1. This limit is below the level of detection
required to satisfy legislation in many countries and states.
 |
TEXT |
The microbiological content of raw
milk affects quality, shelf life, and safety of processed milk and
other dairy products (3, 21, 24). There are several methods
available for detection and enumeration of microorganisms in raw and
processed milks. Culture techniques are the most common, but a major
disadvantage of these is the time needed to produce results
(27). Another significant disadvantage of traditional
culture methods is their failure to isolate viable but nonculturable
organisms (7). On the other hand, total microscopic count
methods are relatively fast, but limitations of these techniques
include operator fatigue from prolonged use of microscopes and
inability to discriminate between living and dead bacteria. To
alleviate problems associated with culture-based detection systems and
direct microscopic methods, various other methods have been developed
(11, 15, 26). These include colorimetric assay methods based
on liberation of dyes from substrates by enzymes, dye reduction tests,
and ATP bioluminescence (12, 18, 22, 30). Although
biochemically and physiologically based assays are fast, they lack
absolute specificity. It is therefore doubtful whether these
nonculturing approaches provide complete quality and safety assurance.
Interest in rapid methods and automation in food microbiology has been
growing in the past several decades (15). There have been
some attempts to introduce direct, automated enumeration methods into
dairy testing (6, 23, 26), and BactoScan was developed as an
automated instrument for routine testing of the bacteriological quality
of raw milk (6, 25). However, the current instrumentation is
limited to measuring either total microbial or somatic cell counts, and
it has not been developed for more diversified work such as microbial
differentiation. By contrast, flow cytometers may suit the broad and
specific needs of microbial analysis of milk and dairy products within
one type of instrument (15, 23). Flow cytometry (FCM) is
extremely sensitive, avoids the need for culturing or enrichment
procedures, and can be both qualitative and quantitative (2,
23). Use of fluorescent stains or fluorogenic substrates in
combination with FCM allows the detection and discrimination of viable
culturable, viable nonculturable, and nonviable organisms (2, 7,
28). Furthermore, there is the possibility that numerous (or even
rare) microbial cells could be detected against a background of other
bacteria or nonbacterial particles by combining FCM and specific
fluorescently-labeled antibodies or oligonucleotide probes (1, 10,
23, 29). As an early step towards demonstrating the potential
application of flow cytometers in milk analyses, we have developed a
rapid method for detecting total bacteria.
Milk-clearing treatments and detection of bacteria in milk by using
FCM.
Escherichia coli (XL1-Blue MRF
) and
Staphylococcus aureus (NCTC 4163) were chosen to represent
gram-negative rods and gram-positive cocci that are potential
contaminants of milk (13, 20). Bacteria were grown overnight
in Trypticase soy broth (Oxoid, Sydney, Australia) at 28°C on a
rotary shaker (180 rpm) for 16 h. Pure populations of E. coli and S. aureus were easily detected by FCM when
they were suspended in phosphate-buffered saline (PBS) (Fig. 1A and B), but when they were inoculated into
ultra-heat-treated (UHT) milk, no distinct separation appeared (Fig.
1C). This is due to the presence of proteins and lipid globules that
can bind nonspecifically to fluorescent stains and interfere with
staining and detection of bacteria. Treatment of milk by centrifugation
to remove lipids without also treating samples with proteases was
insufficient to allow definition of bacteria (Fig. 1D). Thus, the most
critical barrier to FCM analysis of milk is the presence of protein
globules. Therefore, we applied enzymatic treatment to remove or modify proteins and thereby enable distinction of bacteria by flow cytometry. We used 0.05 mg of proteinase K (EC 3.4.21.64; Sigma-Aldrich, Sydney,
Australia) or 10 µl of savinase (EC 3.4.21.52; Novo Nordisk
Bioindustrial Pty. Ltd., Sydney, Australia) to treat 100 µl of UHT
milk samples and 50 µl of savinase plus 50 µl of 0.1% Triton X-100
to treat 100 µl of raw milk samples. Treated milk samples were
incubated at 37°C for 30 to 45 min, after which 900 µl of 150 mM
NaCl was added and mixed by inversion of tubes. Samples were then
centrifuged at 14,000 × g for 10 min and lipids (top layer) and digested proteins of the milk were drawn off with a micropipette without disturbing the pelleted material, which contained bacteria. The pellet was resuspended in 100 µl of 150 mM NaCl. The
samples were then stained and analyzed using FCM (see below for
staining protocol and FCM analyses). After the application of proteases
in concert with lipid removal, the bacteria in UHT milk appeared in
exactly the same positions on bivariate dot plots as bacteria in PBS
(Fig. 1A and E and 1B and F). Sorting of putative bacterial populations
coupled with subsequent microscopic analysis and plating on selective
agar confirmed that the sorted regions represented bacteria inoculated
into the UHT milk samples (data not shown).

View larger version (24K):
[in this window]
[in a new window]
|
FIG. 1.
Detection of bacteria in UHT milk by FCM. (A) E. coli in phosphate-buffered saline; (B) S. aureus in
phosphate-buffered saline; (C) untreated milk plus E. coli;
(D) milk plus E. coli with fat removed; (E) milk plus
E. coli with fat removed and with protease treatment; (F)
milk plus S. aureus with fat removed and with protease
treatment. Results shown are typical of two repeated experiments
assayed in triplicate.
|
|
Fluorescent staining and FMC.
Bacterial cells in treated milk
samples were stained with SYTO BC (Molecular Probes Inc., Bioscientific
Pty. Ltd., Sydney, Australia). SYTO BC (excitation and emission maxima
of 480 and 500 nm) is a high-affinity nucleic acid stain that
penetrates both gram-positive and gram-negative bacteria, giving a
bright green fluorescent signal (Molecular Probes [Eugene, Ore.]
handbook). SYTO BC, diluted 1:20 in dimethylsulfoxide, was mixed 1:50
with resuspended bacteria and incubated in the dark at 37°C for 5 to 10 min. The viabilities of bacterial cultures were determined by dual
staining of the subsamples with propidium iodide (PI) and SYTO BC. A
solution of PI (1 mg ml
1) was prepared in dimethyl
sulfoxide, and 1 µl of this was added per ml of bacterial suspension.
PI is generally excluded by intact plasma membranes; thus, uptake of PI
(orange/red fluorescence) indicates cell death (23;
Molecular Probes handbook).
Stained samples were analyzed using FACScan (analysis only) or
FACSCalibur (cell sorting) flow cytometers (Becton Dickinson, Sydney,
Australia). Both were equipped with a 15-mW argon laser emitting light
at 488 nm. The sheath fluid was Osmosol (LabAids Pty. Ltd., Sydney,
Australia). Both instruments were equipped with forward-angle light
scatter (<15°), side-angle light scatter (>15°), and three
fluorescence detectors: FL1 (515 to 565 nm), FL2 (565 to 605 nm), and
FL3 (>605 nm). The detection threshold was adjusted for FL1 to
eliminate particles emitting green fluorescence at a level
significantly below that of bacteria suspended in PBS and stained with
SYTO BC. Compensation was set so as to remove FL2 fluorescence from the
FL1 channel and FL1 from FL2. The settings used routinely for analysis
by FACScan FCM of E. coli and S. aureus in UHT
milk and for total bacteria in raw milk samples by using the
FACSCalibur are given in Table 1.
Bacterial counts by FCM were obtained by normalizing the numbers of
events occurring in regions on dot plots that defined bacterial
populations to the volume of sample analyzed. Data acquired from FCM
were converted from Hewlett Packard to PC format by using the computer
program HP-Reader (supplied by Becton Dickinson) and analyzed with the computer program Windows Multiple Document Interface FCM application (WinMDI; Joseph Trotter, Salk Institute for Biological Studies, La
Jolla, Calif.). For cell sorting, a FACSCalibur flow cytometer was
used. Sort regions were defined on bivariate dot plots that delineated
distinct populations. Droplets were collected onto 0.02-µm-pore-size
filters (supplied by Millipore Pty. Ltd., Sydney, Australia) through a
Sort Stage (AusFlow, Sydney, Australia) and examined using
epifluorescence microscopy. Sorted samples were also diluted, and 100 µl was spread onto differential agar media to confirm identity and
viability (see below).
Microscopic and plate count methods.
A Carl Zeiss (Sydney,
Australia) Axioskop 2 epifluorescence microscope fitted with 10×
eyepieces and 40× and 100× (oil immersion) objectives was used to
confirm and count cells. Excitation of SYTO BC- or PI-stained cells was
by a 100-W Hg vapor arc lamp with an appropriate filter block giving
excitation at 450 to 490 nm and examination at 520 nm. Direct
microscopic counts of bacterial suspensions were carried out using
bright-field microscopy and Thoma counting chamber procedures
(5).
Plate count methods were used to determine viable cell numbers.
Suspensions of E. coli or S. aureus in milk were
serially diluted in PBS, and 100-µl volumes of dilutions were spread
plated in triplicate. To differentiate E. coli, Chromocult
coliform agar (Merck Pty. Ltd., Sydney, Australia) was used, whereas
Baird-Parker agar (Merck Pty. Ltd.) supplemented with egg yolk
tellurite emulsion (Oxoid Pty. Ltd., Heidelberg, Victoria, Australia)
was used for S. aureus. Colonies were counted after
incubation for 24 to 48 h at 37°C. The total viable microbial
counts of raw milk were determined by standard plate count using the
pour plate method as described in reference 8.
Analysis of variance and Student's t test were used to
detect significant differences between different methods. Correlations
between flow cytometric method and total microscopic counts and plate
count methods were calculated with statistical software (SPSS Inc.,
Chicago, Ill.).
Comparison between FCM, total microscopic count, and plate count
methods.
Dual staining of pure bacterial cultures with PI and SYTO
BC showed that inocula (16-h bacteria cultures) were >99% viable. UHT
milk was inoculated with E. coli and S. aureus
cells at different cell concentrations between 103 and
108 ml
1 and analyzed using FCM and
traditional techniques such as plate count and direct microscopy.
Strong correlations (r =
0.98) between FCM and plate
counts or direct microscopic counts were obtained for both E. coli and S. aureus (data not shown). E. coli
counts measured by FCM in the range of 104 to
108 ml
1 were not significantly (P < 0.05) different from those given by the Chromocult coliform
agar plate count method, although FCM estimated a significantly
(P < 0.05) greater number of cells at the level of
103 bacteria ml
1 (Fig.
2A). For S. aureus, the
numbers measured by FCM were not significantly (P < 0.05) different from those obtained by the Baird-Parker agar plate
count methods in the range of 103 to 108
bacteria ml
1 (Fig. 2B).

View larger version (22K):
[in this window]
[in a new window]
|
FIG. 2.
Comparison of bacterial counts given by FCM with plate
count methods. Bacteria were inoculated into UHT milk at levels between
103 and 108 ml 1. Data (three
replicates) were analyzed using Student's t test (an
asterisk denotes significant difference at a P value of
<0.05). , FCM counts; , plate counts. (A) E. coli;
(B) S. aureus.
|
|
Bacterial counts in raw milk.
Raw milk was obtained
refrigerated fresh from the dairy plant and tested the same day or,
where indicated, after 48 h of cold (4°C) storage. Unlike in UHT
milk, when proteinase K or savinase was used separately on raw milk, no
regions of distinct particle populations could be observed with FCM
(data not shown). It is likely that heat-treated proteins that are
already partly or fully denatured are more sensitive to proteolysis
than native proteins in raw milk. However, following the modified
proteolytic treatment (protease and a detergent), a bacterial
population could be separated from other milk particles based on
light-scattering characteristics (Fig.
3A). Statistical treatment of data showed
there was a significant correlation (P < 0.01) and
good agreement (r = 0.91) between FCM and the standard
plate count method (Fig. 3B).

View larger version (17K):
[in this window]
[in a new window]
|
FIG. 3.
(A) Detection of bacteria in raw milk using FCM. The
boxed region defines the bacterial population. (B) Correlation between
total bacterial counts for raw milk samples obtained by FCM and
standard plate count methods. , Bacterial counts of fresh raw milk
samples (n = 38); , bacterial counts after cold
storage (4°C) for 48 h (n = 21). Assays of
individual samples were performed in triplicate.
|
|
The FCM procedure described here estimates numbers of total bacteria in
the processed sample, since SYTO BC binds to live culturable, live
nonculturable, and dead cells. On the other hand, plate count numbers
represent only culturable cells. Therefore, the plate count method
would be expected to produce lower numbers than the FCM method. In both
techniques, there is a tendency for bacterial clumps or chains to be
enumerated as one unit, resulting in a slight underestimation of total
cell counts.
Potential of FCM in milk microbiology.
This study demonstrates
the ability of FCM to determine total bacterial numbers after clearing
of milk and staining of bacteria with a readily available fluorescent
stain. The sensitivity of the FCM procedure was
104 total
bacteria ml of milk
1. A limit of
104 total
bacteria ml of raw milk
1 is below the level of detection
required to satisfy legislation in many countries and states
(14). The assay takes 45 to 60 min depending on whether
processed or raw milk is being analyzed. The total FCM analysis time is
between 30 s and 2 min, depending on numbers of bacteria in milk.
This time frame compares favorably with current culturing methods,
which take 72 h (8).
The work reported herein is a first step in developing FCM for use in
rapid monitoring of microbiological quality of milk. There have already
been some instances in which pathogenic bacteria in milks have been
detected by FCM. For example, immunofluorescent labeling techniques
have been used to detect Listeria monocytogenes (9) in raw milk and specific Salmonella spp. in
raw and processed milks (4, 16, 17, 19). In additional
studies, we have found that FCM is suitable for monitoring the growth
of bacteria in refrigerated raw, pasteurized, homogenized milk and
flavored milk drinks and enumerating viable bacteria
(2; T. Gunasekera et al., unpublished results).
These combined works indicate the potential breadth of FCM for
applications in dairy microbiology. These applications include testing
of raw milk for conformation with standards, specifications, and
regulatory compliance, monitoring efficiency of manufacturing,
cleaning, and sanitation practices, and predicting the shelf life of
milk products. The ability to use a single instrument for numerous
rapid microbiological assay procedures has obvious advantages for the
dairy industry over the current situation, where culturing, microscopy,
or several dedicated instruments are needed.
 |
ACKNOWLEDGMENTS |
We thank Robert Chandler of Dairy Industry Quality Centre,
Werribee, Victoria, Australia, for technical advice. We also thank Belinda Chapman and Dan Deere for their input during early stages of
this project. We are grateful to Peter Ellis of Perfection Dairies Pty.
Ltd., Sydney, Australia, for supplying raw milk samples.
This work was supported by the Australian Dairy Research and
Development Corporation in collaboration with Becton Dickinson.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Biological Sciences, Macquarie University, Sydney, New South Wales
2109, Australia. Phone: 61-2-98508157. Fax: 61-2-98508253. E-mail:
tgunasek{at}rna.bio.mq.edu.au.
 |
REFERENCES |
| 1.
|
Amann, R. I.,
W. Ludwig, and K. H. Schleifer.
1995.
Phylogenetic identification and in situ detection of individual microbial cells without cultivation.
Microbiol. Rev.
59:143-169[Abstract/Free Full Text].
|
| 2.
|
Attfield, P.,
T. Gunasekera,
A. Boyd,
D. Deere, and D. Veal.
1999.
Application of flow cytometry to microbiology of food and beverage industries.
Australas. Biotechnol.
9:159-166.
|
| 3.
|
Celestino, E. L.,
M. Iyer, and H. Roginski.
1996.
The effects of refrigerated storage on the quality of raw milk.
Aust. J. Dairy Technol.
51:59-63.
|
| 4.
|
Clarke, R. G., and A. C. Pinder.
1998.
Improved detection of bacteria by flow cytometry using a combination of antibody and viability markers.
J. Appl. Microbiol.
84:577-584[CrossRef][Medline].
|
| 5.
|
Cruickshank, R.,
J. P. Duguid,
B. P. Marmion, and R. H. A. Swain.
1975.
Medical microbiology, 12th ed., vol. 2.
: the practice of medical microbiology. Churchill Livingstone, Edinburgh, United Kingdom.
|
| 6.
|
Cunningham, J. D., and C. L. Saunders.
1988.
Collaborative study of the Bactoscan an automated method for determinations of total bacteria in raw milk.
Can. Inst. Food Sci. Technol. J.
21:464-466.
|
| 7.
|
Davey, H. M., and D. B. Kell.
1996.
Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses.
Microbiol. Rev.
60:641-696[Abstract/Free Full Text].
|
| 8.
|
Desmasures, N., and M. Gueguen.
1997.
Monitoring the microbiology of high quality milk by monthly sampling over 2 years.
J. Dairy Res.
64:271-280[CrossRef][Medline].
|
| 9.
|
Donnelly, C. W., and G. J. Baigent.
1986.
Method for flow cytometric detection of Listeria monocytogenes in milk.
Appl. Environ. Microbiol.
52:689-695[Abstract/Free Full Text].
|
| 10.
|
Fouchet, P.,
C. Jayat,
Y. Héchard,
M.-H. Ratinaud, and G. Frelat.
1993.
Recent advances of flow cytometry in fundamental and applied microbiology.
Biol. Cell
78:95-109[CrossRef][Medline].
|
| 11.
|
Fung, D. Y. C.
1994.
Rapid methods and automation in food microbiology: a review.
Food Rev. Int.
10:357-375.
|
| 12.
|
Griffiths, M. W.
1993.
Applications of bioluminescence in the dairy industry.
J. Dairy Sci.
76:3118-3125[Free Full Text].
|
| 13.
|
Heeschen, W. H., and J. Reichmuth.
1995.
Mastitis the disease under aspects of milk quality and hygiene.
Kiel. Milchwirtsch. Forschungsber.
47:221-237.
|
| 14.
|
Hubble, I. B.
1997.
Testing and reporting of raw milk quality.
Austr. J. Dairy Technol.
52:102-108.
|
| 15.
|
Karwoski, M.
1996.
Automated direct and indirect methods in food microbiology: a literature review.
Food Rev. Int.
12:155-174.
|
| 16.
|
McClelland, R. G., and A. C. Pinder.
1994.
Detection of low levels of specific Salmonella species by fluorescent antibodies and flow cytometry.
J. Appl. Bacteriol.
77:440-447[Medline].
|
| 17.
|
McClelland, R. G., and A. C. Pinder.
1994.
Detection of Salmonella typhimurium in dairy products with flow cytometry and monoclonal antibodies.
Appl. Environ. Microbiol.
60:4255-4262[Abstract/Free Full Text].
|
| 18.
|
Muir, D. D.
1996.
The shelf-life of dairy products. 2. Raw milk and fresh products.
J. Soc. Dairy Technol.
49:44-48.
|
| 19.
|
Pinder, A. C., and R. G. McClelland.
1994.
Rapid assay for pathogenic Salmonella organisms by immunofluorescence flow cytometry.
J. Micros.
176:17-22.
|
| 20.
|
Porter, J.,
K. Mobbs,
C. A. Hart,
J. R. Saunders,
R. W. Pickup, and C. Edwards.
1997.
Detection, distribution and probable fate of Escherichia coli 0157 from asymptomatic cattle on a dairy farm.
J. Appl. Microbiol.
83:297-306[CrossRef][Medline].
|
| 21.
|
Ravanis, S., and M. J. Lewis.
1995.
Observation on the effect of raw milk quality on the keeping quality of pasteurized milk.
Lett. Appl. Microbiol.
20:164-167[Medline].
|
| 22.
|
Richter, E. R.
1993.
Biosensors: applications for dairy food industry.
J. Dairy Sci.
76:3114-3117[Free Full Text].
|
| 23.
|
Shapiro, H. M.
1995.
Practical flow cytometry, 3rd ed.
Wiley-Liss, New York, N.Y.
|
| 24.
|
Sørhaug, T., and L. Stepaniak.
1997.
Psychrotrophs and their enzymes in milk and dairy products: quality aspects.
Trends Food Sci. Technol.
8:35-41.
|
| 25.
|
Suhren, G., and H.-G. Walte.
1998.
First experiences with automatic flow cytometric determination of total bacterial count in raw milk.
Kieler Milchwirtschaftliche Forschungsberichte
50:249-275.
|
| 26.
|
Vasavada, P. C.
1993.
Rapid methods and automation in dairy microbiology.
J. Dairy Sci.
76:3101-3113[Free Full Text].
|
| 27.
|
Vasavada, P. C., and C. H. White.
1993.
Symposium: developing methodology for microbial evaluation of milk and dairy products.
J. Dairy Sci.
76:3099-3100[Free Full Text].
|
| 28.
|
Vesey, G.,
J. Narai,
N. Ashbolt,
K. Williams, and D. Veal.
1994.
Detection of specific microorganisms in environmental samples using flow cytometry.
Methods Cell Biol.
42:489-522.
|
| 29.
|
Wallner, G.,
I. Steinmetz,
D. Bitter-Suermann, and R. Amann.
1996.
Combination of rRNA-targeted hybridisation probes and immuno-probes for the identification of bacteria by flow cytometry.
Syst. Appl. Microbiol.
19:569-576.
|
| 30.
|
White, C. H.
1993.
Rapid methods for estimation and prediction of shelf-life of milk and dairy products.
J. Dairy Sci.
76:3126-3132[Free Full Text].
|
Applied and Environmental Microbiology, March 2000, p. 1228-1232, Vol. 66, No. 3
0099-2240/00/$04.00+0
Copyright © 2000, American Society for Microbiology. All rights reserved.
This article has been cited by other articles:
-
Ben Amor, K., Vaughan, E. E., de Vos, W. M.
(2007). Advanced Molecular Tools for the Identification of Lactic Acid Bacteria. J. Nutr.
137: 741S-747S
[Abstract]
[Full Text]
-
Smith, E. M., Green, L. E., Mason, D., Gunasekera, T. S., Veal, D. A.
(2003). Savinase Is a Bactericidal Enzyme. Appl. Environ. Microbiol.
69: 719-721
[Full Text]
-
Bunthof, C. J., Abee, T.
(2002). Development of a Flow Cytometric Method To Analyze Subpopulations of Bacteria in Probiotic Products and Dairy Starters. Appl. Environ. Microbiol.
68: 2934-2942
[Abstract]
[Full Text]
-
Gunasekera, T. S., Sorensen, A., Attfield, P. V., Sorensen, S. J., Veal, D. A.
(2002). Inducible Gene Expression by Nonculturable Bacteria in Milk after Pasteurization. Appl. Environ. Microbiol.
68: 1988-1993
[Abstract]
[Full Text]
-
Hiraoka, Y., Kimbara, K.
(2002). Rapid Assessment of the Physiological Status of the Polychlorinated Biphenyl Degrader Comamonas testosteroni TK102 by Flow Cytometry. Appl. Environ. Microbiol.
68: 2031-2035
[Abstract]
[Full Text]