Cleaning of Food Plants – Science or Sorcery?
The scientific method as applied to the cleaning process within the food
industry is more primitive than in management practice. There are many reasons for this, and many
reasons why this should not be so. For
some time salesmanship within the industry was experienced as a case of the
ignorant selling to the innocent.
Salespersons were 9 to 5 operators with little or no experience of
cleaning and a half knowledge of food legislation. It was to their strengths that they played, snowing their
customers under with paper that by implication suggested a professional
approach. This is not how the
relationship between supplier and customer should be. Therefore, rather than rehash all the pitfalls of poor hygiene etc,
I would like to address the issue with regard to the type of relationship that
should and could exist between cleaning supplier and producer. I would also like to demonstrate by example
how such an outcome can be attained, achieving into the bargain the goal of any
cleaning regime – a clean plant.
To reach this end point it is however necessary to briefly describe the
cleaning process. Cleaning is the
process of applying energy to a surface over a period of time in order to
remove dirt and soiling. Energy used
may be applied in the form of: manual labour, mechanical energy, and heat or
chemical energy. Each form of energy
can replace any other and produce the same result so the most economic form of
chemical energy is normally used to replace manual labour and thus reduce the
cost of cleaning. The main chemical
used is water, which acts in three distinct ways. Firstly as a solvent, dissolving water soluble dirt, secondly as
a medium of heat transfer melting fats like butter and lard which do not dissolve
and lastly as a medium for transferring physical energy as in pressure washing
or rinsing. The rate at which water
dissolves depends on the degree to which it is in contact with the dirt. Water is a poor wetting agent and detergents
are used to allow water to come in contact with and penetrate the dirt,
speeding up the dissolving process.
There are many important points above but none more so than the fact that each
form of energy can replace any other and produce the same effect. This gives us some insights into the range
of variables within the system. So how
do we optimise the cleaning process?
One thing is for sure as Juran’s often quoted comment states “if you always
do what you always did you will always get what you always got” so change is
necessary and none more so than the involvement of senior management.
But what can a company do to change? They can change their cleaning materials;
they can even change their cleaning supplier.
You can focus on suppliers who provide you with realms of paper. Providing you with magnificently produced
cleaning schedules and brightly coloured material safety data sheets, all
necessary but irrelevant. Cleaning
success is not a function of the volume of documentation supplied by a chemical
supplier but the quality of his or her knowledge of the cleaning process. Therefore a more systematic approach is
required as demonstrated by the following example. A food processing company had been on the merry-go-round as
described previously. They were
frequently changing cleaning materials in an effort to improve the cleaning
process. Management decided enough was
enough and committed to change. The
first item looked at was the cleaning material. The company knew at that time product B was the most efficient material
they had used to date. Their initial
request was to provide a more efficient cleaning product.
The project was undertaken and by analysing the most effective product to date,
product C was designed from first principals.
To demonstrate the efficacy of C, a test was developed in conjunction with CAL
Limited, an independent test laboratory.
The objective of which was to measure the quantity of Oils, Fats and
Greases (OFG’s) remaining on the surface of a conveyor belt after
cleaning. Three products were tested
and their efficacy compared, the greater quantity of OFG’s remaining on the
surface, the poorer the efficacy. In
parallel a second test, in similar areas, was carried out using the Biotrace™
cleantrace swab method. This test
involved swabbing the cleaned area with a swab inserting the swab into a light
measuring unit and obtaining a result in light relative units (rlu). The higher the rlu reading the greater the
soiling. The objective of the second
test was to compare both methods. The results
obtained were as per Table 1.
Table 1 – Results of cleaning – Oils, Fats & Greases analysis.
|
Product – 5% Soln
|
Result
OFG’s mg/l
|
Cleaning
Efficiency
|
Result
(rlu’s)
|
Cleaning
Efficiency
|
|
Product A
|
38.8
|
24%
|
1653
|
28%
|
|
Product B
|
15.3
|
62%
|
1149
|
41%
|
|
Product C
|
9.46
|
100%
|
471
|
100%
|
The results clearly demonstrate the efficacy of the product and the suitability
of the Biotrace™ method for further testing.
The provision of a new product however was only half the story as the most
efficient product in the world is still useless if used incorrectly. This point was not lost on the company who
now enlisted the supplier’s help to improve the process. A second test was required to settle an
argument between the supplier and the cleaning supervisor. The companies cleaning supervisor suggested
that hot water was required to rinse down the plant before application of the
cleaning material. The supplier
disagreed, pointing out that at least half of the soiling comprised protein,
which was water soluble but would denature if the initial rinse water was too
hot and cling more tenaciously to the surface being cleaned. The second test was carried out along the
same lines as the first, with one site initially rinsed with cold water whilst
the second was rinsed with hot. Table 2
documents the results, and demonstrated to everybody’s satisfaction the most
effective method of cleaning the said surface was with Product C prior to a
cold water initial rinse.
Table 2 – Results of cleaning, post cold and host rinse.
|
Product – 5% Soln
|
Result
Cold (rlu’s)
|
Cleaning
Efficiency
|
Result
Hot (rlu’s)
|
Cleaning
Efficiency
|
|
Product A
|
898
|
34%
|
1065
|
29%
|
|
Product B
|
364
|
84%
|
637
|
48%
|
|
Product C
|
307
|
100%
|
390
|
79%
|
The results as per both sets of tests were taken on board
and a new set of procedures put in place.
Firstly the plant was rinsed with cold water under low pressure. Secondly product C was applied to all
surfaces and was allowed to act for fifteen to twenty minutes before rinsing
away with hot water. This method
produced a clean plant and further enhanced the system a non-rinse sanitiser
was applied to reduce any residual microbial levels.
In conclusion, the goal of a cleaning regime must be a clean plant. Such a goal is a management prerogative and
must be part of the management process.
Voluminous documentation and glossy brochures are irrelevant if the goal
is not being reached. Choose a supplier
for his/her repository of knowledge and nothing else. See cleaning materials for what they are, one variable within a
system. Do not forget that cleaning is
your responsibility and finally, beware of snake oil salesmen.
Biotrace are the world leaders in rapid hygiene monitoring systems using
ATP bioluminescence technology. This
technology provides the user with instant results verifying the efficacy of the
cleaning process. For more information
contact:
Malcolm Bell,
Techno-Path,
The Rosse Centre,
Holland Road,
National Technological Park,
Limerick.
Tel: 061 335844
Fax: 061 203034
Paul Gannon is the owner and managing director of Gannon Chemicals Ltd and
has been working in the cleaning industry for the past 20 years. Specialising in detergent chemistry, he is a
formulator/designer of cleaning products and a cleaning consultant to the food
processing industry. He holds a B.Sc. a
post Graduate Diploma in Industrial Chemistry and an MBA.