A total of 101 egg wash water samples from five different egg grading
stations in eastern Ontario were analyzed for a variety of physical an
d chemical variables in an attempt to find a correlation with total ba
cterial counts. Temperature, pH, total chlorine, and percentage transm
ission at 600 nm (%T) were found to be significant variables, and a mu
ltiple regression equation was derived that accounted for 65% of the t
otal variation. The equation was used to classify wash water samples a
s acceptable (less-than-or-equal-to 10(5) cfu/mL) or unacceptable and
correctly classified 77.2% of the samples. Classification of a second
(validation) data set from 58 wash water samples was correctly predict
ed in 72% of the cases. The predictive value of the equation was espec
ially good for those wash water samples obtained from stations that ha
d used a chlorinated alkaline detergent, 90.4 and 100% for the modelin
g and validation data, respectively. Maintenance of wash water at reco
mmended levels for temperature and PH (i.e., greater-than-or-equal-to
40 C and pH greater-than-or-equal-to 10) was insufficient to ensure ba
cterial numbers would be less-than-or-equal-to 10(5) cfu/mL. Under nor
mal operating conditions a minimum total available chlorine concentrat
ion of .45 mg/L should be maintained in wash water to ensure that bact
erial numbers are kept at an acceptable level. Monitoring of temperatu
re, pH, total chlorine, and %T will assist in maintaining wash water q
uality and minimize the number of samples returned to laboratories for
microbiological analysis.