Introduction
All living things require nourishment, and people get most
of the energy needed to sustain life from food consumption. For many, food security is a constant
problem, and obtaining food is a daily struggle. The Food and Agriculture Organization of the
United Nations estimates that 868 million people in the world are malnourished,
which has been linked to an increased risks in illness, underdevelopment of
bone and tissue, and poor mental health.[1] In recent research Cook
et. al. concluded that even people with marginal food security were at an
increased risk than previously thought for adverse health and development
outcomes.[2] This problem is
further complicated by the geographic location of the people most effected by
starvation compared to the location of the food surpluses that exist
worldwide. Oftentimes a high percentage
of the food being delivered to the people in need spoils because of the long
spans of time it takes to reach those with shortages. Long term efforts are being made, moving food
sources closer to impoverished people, but short term remediation is also
required to get the people food supplies that are both plentiful and
storable.
Food manufacturers are playing a vital role in fighting food
insecurity by adapting their current manufacturing practices to incorporate
longer shelf life demands while maintaining high quality products that
consumers enjoy. This includes more
stringent protocols for making goods, as well as an increase in quality checks
for the final products. One of the key components
that requires control is water. If
products have too much moisture then there is an increased risk for molding and
spoilage. If too little water is present
then the product may be brittle and have an unsuitable taste. But how is moisture content reliably
determined?
Traditional methods
The Association of Agricultural Chemists (AOAC) has been
publishing quality testing methods in food products since 1912.[3] Currently these methods for moisture
determination use loss-on-drying technology and often require the use
convection ovens and/or vacuum ovens, as well as having sample testing times over one hour. These methods are accurate, but the lengthy
processing times slow the rate of production.
Additionally, these methods don’t allow for dynamic in-test metrics that
help provide a complete profile of the sample as it is being examined.
Rapid Loss-On-Drying
Rapid loss-on-drying instruments operate using the same
principle as traditional oven methods, but are able to address the drawbacks
associated to them without changing the ease of use. Users of these instruments place a prescribed
amount of material onto a pan that is sitting on a balance. Once the correct amount of material is on the
pan the instrument heats up to a specified temperature and the Experimental
Comparative testing was conducted for various products using
the Computrac® Loss-On-Drying line of instruments, and a vacuum oven with a procedure
similar to AOAC method 925_09. The
vacuum oven was set to 70°C and at full vacuum.
The Computrac® testing used individual parameters stored in the
instrument under the names from the table.
The samples tested were prepackaged foods that have a 6 year shelf life
on the package. Both testing methods
used 4g of sample and were tested.
Conclusion
For testing shelf stable food products, rapid loss-on-drying
instrumentation has proven to provide a more desirable method of moisture
measurement when compared to traditional loss-on-drying techniques. It addresses the drawbacks associated with
conventional loss-on-drying while maintaining the ease of use
application. The reduction in test times
increases manufacturing efficiency while simultaneously reducing energy
costs. Additionally, this
instrumentation is able to provide real time moisture measurements to help
users optimize moisture measurement methods.
These reductions and savings can be used to deploy food to those in need
more quickly, and reach more people that presently have poor food
security.
James Moore, Research Chemist
Arizona Instrument LLC
James Moore, Research Chemist
Arizona Instrument LLC
For a printable version visit www.azic.com
1.
“Undernourishment in 2010-12, by region
(millions).” http://www.fao.org/hunger/en/. FAO, Jul. 2013
2.
Cook
JT, Black
M, Chilton
M, Cutts
D, Ettinger
de Cuba S, Heeren
TC, Rose-Jacobs
R, Sandel
M, Casey
PH, Coleman
S, Weiss
I, Frank
DA. “Are food insecurity's health
impacts underestimated in the U.S. population? Marginal food security also
predicts adverse health outcomes in young U.S. children and mothers.” Adv Nutr. 2013 Jan
1;4(1):51-61.
4.
Pinstrup-Andersen
P. “Food Security: Definition and Measurement.” Food Security. Feb 2009;
1(1): 5-7
5.
Godfray HCJ, Beddington JR, Crute IR, Haddard L,
Lawrence D, Muir JF, Pretty J, Robinson S, Thomas SM, Toulmin C. “Food Security: The Challenge of Feeding 9
Billion People.” Science. Feb 2010; 327(5967): 812-818.
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