Test of Seawater for Fecal Bacteria
We will be
collecting seawater from
Many actual disease organisms are hard to work
with but Escherichia coli (E. coli) is easy to grow, simple to test for,
and considered a good indicator of fecal contamination. E. coli
is a type of coliform, but there are other bacteria which are coliforms that
are not E. coli and do not provide an
indication of sewage so it is important to distinguish E. coli from other coliforms.
You may
have noticed from your syllabus that this lab spans three weeks. That’s because
it has multiple parts and because we have to wait while the bacteria grow.
In the
first test, the Presumptive test, we will do two things. One, we will test for
the presence of bacteria which can use lactose and produce gas and acid. If
they do that (are +) we presume they are coliforms. But remember that doesn’t
make them E. coli. Secondly we get a quantitative estimate
called a Most Probable Number of bacteria/ coliforms. (MPN)
How do we
do this test? While part of each team collects
water samples the remainder of each team attends a lecture on the method for
the presumptive test. They will learn how we inoculate lactose broth (SSLB
& DSLB) containing a pH indicator and
I will
incubate the tubes at 35 °C for 24 hours then refrigerate them until next week.
Next week
you will check the tubes for color (red vs. yellow) and the presence of a gas
bubble in the
We will
also do a second test, the Confirmed Test. You will take your most + tube and
streak liquid from the tube onto Petri plates of special agar. EMB media grows coliforms as colonies with
dark centers. E. coli has a very distinct greenish metallic sheen. Enterobacter aerogenes is an example of a
common soil coliform, not indicative of fecal contamination. It would test + in
the presumptive test. On EMB it does not have the green sheen. Why is the second test called the Confirmed Test?
In your
report consider both your qualitative and quantitative results. Use the data from the entire class so you can
compare the different sites. How do
results compare to your hypotheses?