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Food Chemistry
journal homepage: www.elsevier.com/locate/foodchem
A review, analysis and extension of water activity data of sugars and model
honey solutions
Balaji Subbiah, Ursula K.M. Blank, Ken R. Morison
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Department of Chemical and Process Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand
ARTICLE INFO
Keywords:
Honey
Glucose
Fructose
Maltose
Water activity
Hydration number
ABSTRACT
Water activity is a physical property measured in the food industry which helps predict shelf life and microbial
activity. Honey normally has a water activity less than 0.6, but this can vary with the amount of crystallization in
solution. The aim of this work was to obtain relationships, as fundamental as possible, that can be used to predict
the water activity of solutions with compositions similar to honey. Water activity measurements of aqueous
sucrose solutions have been well analysed in literature using hydration theory. The analysis based on hydration
numbers was easily able to show the quality of data previously published, and hence relationships were proposed
for the hydration numbers of glucose, fructose, maltose and glycerol. A model was proposed in this study, to
predict the water activity of food systems containing high concentrations of sugars and some electrolytes. The
model was analysed and validated using mostly literature data supplemented with new experimental data.
1. Introduction
Water activity is a very useful measurement for the prediction of
shelf life of food products and it is very relevant to honey. In nature,
bees reduce the water activity of honey by hydrolysis of sucrose and
evaporation. Beuchat (1983) stated that some yeast can grow at a water
activity of 0.62, but most moulds require a minimum water activity of
at least 0.75. Honey normally has a water activity less than 0.60.
The main contributors to low water activity in honey are fructose,
glucose and various disaccharides. Because of the complexity of honey
it is easier to study model honey solutions, so, for example, Rüegg and
Blanc (1981) used a dry-basis composition of 48% fructose, 40% glu-
cose, 10% maltose and 2% sucrose with various amounts of water to
model honey. Prediction of the water activities of such solutions re-
quires reliable data and relationships for binary solutions.
Water activity in aqueous sugar solutions is affected by water-water,
water-sugar and sugar-sugar interactions which are all concentration
and temperature dependent (Starzak, Peacock, & Mathlouthi, 2000).
Water molecules are preferentially attracted to some solutes which are
then referred to as being hydrated. Hydration of sugars is generally
attributed to hydrogen bonding between water and hydroxyl groups on
the sugars, but the orientation and availability of these groups, and
hence hydration, depends on the type of sugar and its self-association
(Suggett, 1975). The hydration number can be defined as the average
number of water molecules that are bound to each solute molecule so
that they do not contribute to water activity (Scatchard, 1921).
Burakowski and Gliński (2012) proposed a more general definition:
“the average number of water molecules that are affected by interac-
tions between the solute and solvent and cause an observable effect on a
physical property of the solution”.
Various techniques have been used to determine the hydration of
sugars in solution. Each technique measures a different physical prop-
erty and hence there is no expectation of a unique hydration number.
All the techniques use a common conceptual model of a hydration shell
that alters the size, compressibility or mobility of the water molecules
within it, or of the hydrated solute. Branca et al. (2001) used the
viscosity of sucrose, maltose and trehalose to determine the change
volume fraction caused by hydration of the solute. Furuki (2002) re-
lated the change in heat of fusion of disaccharide and oligosaccharide
solutions to the proportion of unfrozen water and hence to hydration
number. Burakowski and Gliński (2012) reviewed the calculation of
hydration from measurements of the speed of sound which depends on
the compressibility of the solution. Shiraga, Ogawa, Kondo, Irisawa,
and Imamura (2013) used the change in refractive index in the ter-
ahertz frequency range to obtain another estimate of number of hy-
drated water molecules with slower dynamics than the bulk water. For
this paper, water activity will be the physical property used.
Water activity is a representation of the colligative properties: va-
pour pressure, freezing point depression, boiling point elevation, and
osmotic pressure, all of which are unique and quantitative measures of
https://doi.org/10.1016/j.foodchem.2020.126981
Received 3 March 2019; Received in revised form 16 February 2020; Accepted 3 May 2020
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Corresponding author.
E-mail address: ken.morison@canterbury.ac.nz (K.R. Morison).
Food Chemistry 326 (2020) 126981
Available online 07 May 2020
0308-8146/ © 2020 Elsevier Ltd. All rights reserved.
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