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    Lebensm.-Wiss. u.-Technol., 22,192-195 (1989)

    New ET Type Multilayer Sorption Isotherms.

    Part

    :

    Modelling Water Sorption in Foods

    Roberto

    J.

    Aguerre, Constantino Suarez and Pascual

    E

    Viollaz

    Departamento de Industrias, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, 1428 Buenos Aires

    (Argentina)

    Received December}2, 1988; accepted January 25, 1989)

    Two equations derived from a modification of

    BET

    theory were evaluated for goodness of it over 74 experimentalfood isotherms

    representing spices, fruits, vegetables, meats, proteins, starchy foods and mi/k products. About

    77%

    ofthe isotherms represented

    principally by starchy foods, proteins

    meatsand

    spices obeyed to

    Eqn

    [1}.

    Such isotherms when compared to

    BET

    equation showed

    lower sorption capacity than BET at high water activity. On the contrary,

    23%

    of the products formed principally by high-sugar

    foods, i.e. fruits and some vegetables, whose sorption capacity resulted much higher than BET isotherm for water activities above

    0.45 were adequately correlated by Eqn [2j.

    Introduction

    Many mathematical equations have

    been

    proposed in litera

    ture to model hygroscopic equilibrium data in food systems.

    The different models proposed, empirical, semi-empirical

    or

    theoretical have had sorne success in reproducing equilibrium

    moisture content data of a given type

    of

    food and in a given

    range

    of

    water activity. A review

    of

    the literature

    on

    equations

    for fitting water sorption of

    foods was performed by Chirife

    and Iglesias (1). The authors evaluated the capacity of eight

    published two-parameter equations to describe experimental

    isotherms of

    39 different foods divided in six food groups.

    More recently, Lomauro et al.

    (2) conducted a similar analysis

    and studied the fitting ability of three, two-parameter,

    equations and

    one

    three-parameter (GAB isotherm) to fruit,

    vegetables and meat isotherms.

    The aim

    of

    the present work was to evaluate the ability

    of

    the

    two parametric equations derived in part

    one

    as

    Eqns

    (15) and

    (16), to describe hygroscopic equilibrium data of several

    foods. Their simplicity (i.e. only two parameters) and the fact

    that

    both

    equations were derived within

    the

    framework

    of

    BET theory make both equations particularly interesting in

    the area of water sorption in foods.

    Materials and methods

    Hygroscopic equilibrium data of different foods and food

    products were selected from literature. The foods were

    grouped according to main constituents and divided in the

    following groups: milk products, starchy foods, spices, nut and

    oilseeds, fruits, vegetables, proteins and meats. The list of

    the

    selected foods, and sorne specifications are given in

    Table 1.

    Results and discussion

    For practical reasons the two equations to be tested, Eqns (15)

    and (16) of part one, will

    be

    rewritten he re in terms of the

    variables more frequently used in the literature of water

    sorption in foods, moisture content

    m)

    and water activity,

    w

    )

    as:

    Eqn [1]

    and

    Eqn [2]

    where mm and

    e

    are the monolayer moisture content and the

    BET

    constant, respectively. The equilibrium data of74 experi

    mental isotherms Table 1) were processed by Eqns [1] and [2]

    using a non-linear regression method. As a consequence of

    such analysis it was determined that 23% of the products

    examined obeyed Eqn [2] to sorne extent while the rest of the

    materials

    (=77 )

    only fitted Eqn [1]. These results are shown

    in Table 2

    together with the values of

    e

    and mm obtained from

    the regression analysis. To evaluate the goodness of fit of each

    equation, the mean relative percentage deviation modulus, E

    will be used. This

    parameter

    is defined by Eqn

    [3]:

    N

    E

    =

    100,\

    Imi

    -

    mpil

    Ni m

    i l

    Eqn

    [3]

    where mi and mpi are the experimental and predicted moisture

    contents (dry basis), respectively and N is the number of

    experimental data. This parameter was used in the literature to

    evaluate the goodness of fit of different mathematical ex

    pressions as applied to experimental equilibrium data (1,2). I t

    is generally considered that E values below 10% give a reason

    able good fit for practical purposes. As can be seen from

    Table

    2 a great amount of food isotherms were fitted with E values

    lower than 10%, while a poor fitting was obtained with only

    two products (banana and pineapple) with E values consider

    ably greater than 10%.

    The performance obta ined with Eqns

    [1]

    and

    [2]

    will be further

    analyzed.

    For this purpose, the equilibrium data of the ma

    terials reported in

    Table 1

    were modelled

    by

    means of BET

    equation in the range of water activities between approxi

    mately 0.03 and 0.45. The parameters

    of

    BET equations were

    determined by non-linear regression and used for

    extrapol

    ating the equilibrium curves up to water activities about 0.80-

    0023-6438/89/040192 04 03.00/0

    1989 Academic Press Limited

    192

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    Table 2

    Continued

    Protein

    Salmin

    Collagen

    Gelatin

    Eggalbumin

    Lactoglobulin

    Serum albumin

    y-pseudoglobulin

    Silk

    Wool

    05

    0-4

    . 0.3

    :3

    E

    02

    01

    o

    04

    Fitting Eqn No.

    1 )

    (1)

    1 )

    (1)

    (1)

    (1)

    (1)

    1 )

    (1)

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    I

    08

    I

    I

    I

    I

    I

    I

    I

    Fig. 2 Comparison between predicted,

    - Eqn

    [2],

    and

    experimental

    data, 0 for sultana raisins; BET

    isotherm

    equation usually leads to k-GAB constant values lower than

    one (25) seerns to corroborate the present results. On the other

    hand, although

    Eqn [2]

    fitted only 23% of the foods tested, it

    is

    interesting to observe that rnost of these products are high

    sugar foods such as fruits and sorne vegetables like sugar beet

    and carrots, this fact rnakes

    Eqn [2]

    particularly interesting

    given the very well-known difficulty of correlating equilibriurn

    data

    of

    high-sugar foods (3).

    Conclusions

    The following conclusions can be drawn: fruits, rnilk products

    and sorne vegetables were rnodelled by

    Eqn

    [2], covering a

    range

    of a

    w

    frorn 0.03 to 0.85, approxirnately;

    Eqn [1]

    was very

    appropriate for the correlation of

    equilibriurn

    data of

    starchy

    lwt/vol.

    22 (1989) No.

    4

    mm

    C ( ,d.b.)

    E

    ( )

    a

    w

    range

    1.4

    22.4 8.6 0.05--0.90

    11.2 13.4 4.5 0.05--0.90

    12.7

    11.7 5.5 0.05--0.90

    7.9 8.1 4.8 0.05--0.90

    6.4 8.7 4.5 0.05-D.90

    13.2

    8.1

    3.7 0.05-D.90

    13.5 8.7

    4.3 0.05-D.90

    15.1 5.0

    4.4 0.05--0.90

    11.2 6.9 6.6 0.05-D.90

    foods, proteins, rneats, spices, nuts and oilseeds and sorne

    vegetables, i.e. grarns and beans, over a wide range of water

    activities; the ability of Eqn [1] to correlate a great variety of

    food rnaterials

    is

    related with the tendency of rnost foods to

    present lower sorption capacity than that predicted frorn BET

    theory, for high water activity.

    References

    1

    CHIRlFE,

    J. AND IGLESIAS, H. A. Joumal

    of

    Food Technology, 11,

    159 (1978)

    2

    LOMAURO,

    C.

    L.,

    BAKSHI, A. S. AND

    LABUZA, T. P.

    Lebensmittel-Wissenschaft und -Technologie,

    18,

    111

    (1985)

    3 BOQUET, R., CHIRIFE, J. AND IGLESIAS, H. A. Joumal

    of

    Food

    Technology, 11,319 (1978)

    4 WOLF,

    W.,

    SPIESS, W. E. L. AND JUNG,

    G.

    Lebensmittel-Wissenschaft und -Technologie, 6(3),

    94

    (1973)

    5

    VAN

    DEN

    BERG,

    C.

    Vapour sorption equilibrium and other

    water

    starch interactions;

    a

    physico-chemical approach. Agricultural

    University,

    Wageningen,

    Doctoral

    Thesis

    (1981)

    6 DAY, D. L. AND NELSON, G. L. Transactions ofthe ASAE, 8, 293

    (1965)

    7 BUSHUK, W. AND WINKLER,

    C.

    A. Cereal Chemistry, 34(2), 73

    (1957)

    8 DUSTAN, E.

    R.,

    CHUNG, D. S. AND HODGES,

    T. O.

    Transactionsof

    the ASAE, 16, 667 (1973)

    9

    AGUERRE,

    R. J., SUAREZ,

    C.

    AND VIOLLAZ, P. E.

    Joumal

    of

    Food

    Technology, 18,345 (1983)

    10

    COLEMAN,

    D. A. AND FELLOWS, H. C.

    Cereal Chemistry,

    32, 275

    (1955)

    11

    HELLMAN,

    N. N. ANDMELVIN,

    E.

    H. JoumalofAmerican Chemical

    Society, 72, 5186 (1950)

    12 PIXTON,

    S.

    W. AND

    HENDERSON, S.

    Joumal

    of

    Sto red Products

    Research, 15, 59 (1979)

    13

    PIXTON,

    S.

    W.

    AND WARBURTON,

    S.

    Joumal

    of

    Sto red Products

    Research, 13,

    77

    (1977)

    14 GANE,

    R.

    Joumal

    of

    Agricultural Science, 38, 81 (1948)

    15 MAROULIS, Z.

    B.,

    TSAMI,

    E. AND MARlNOS-KoURls, D.

    Joumal

    of

    Food Engineering, 7,

    63

    (1988)

    16

    ROMAN,

    G. N.,

    URBICAIN,

    M. J.

    AND

    ROTSTEIN,

    E.

    Joumal

    of

    Food

    Science,

    47,1484 (1982)

    17 MAKOVER, B. AND DEHORITY, G.

    L.

    Industrial Engineering

    Chemistry,

    193 (1943)

    18 IGLESIAS, H. A. Isotermas de sorcin de agua en remolacha

    azucarera

    y analisis del

    fenmeno de

    sorcin

    de

    agua en

    alimentos.

    Doctoral Thesis, F.C.E.y N.,

    University

    of Buenos Aires (1975)

    19 KUMANR, K. R. AND BALASUBRAHMANYAM, N. Joumal

    of

    Stored

    Products Research, 22, 205 (1986)

    20 CHAU, K.

    V., HEINIS,

    J. J. AND

    PEREZ,

    M. JoumalofFood Science,

    47,1318 (1982)

    21

    IGLESIAS,

    H.

    A.

    AND

    CHIRIFE,

    J.

    Lebensmittel-Wissenschaft und

    -Technologie,

    10, 151 (1977)

    22 MOTARlEMI,

    Y.

    A study

    of

    sorne physical properties of water in

    foodstuffs,

    Doctoral

    Thesis,

    Lund

    University (1988)

    23 DOE, P. E., HASHMI, R., POULTER, R. G. AND OLLEY,

    J.Joumalof

    Food Technology, 17, 125 (1982)

    24 LABUZA, T. P.,

    KAANANE,

    A. AND CHEN, J.

    Y. Joumal

    of

    Food

    Science, 50, 385 (1985)

    25

    BIZOT, H.

    In: Physical Properties

    of

    Foods, London

    and New

    York: Applied

    Science

    Publishers, pp. 43 (1983)

    195