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  • ORIGINAL ARTICLE

    Employment of Differential Scanning Calorimetry in DetectingLard Adulteration in Virgin Coconut Oil

    T. S. T. Mansor Y. B. Che Man M. Shuhaimi

    Received: 30 March 2011 / Revised: 24 August 2011 / Accepted: 25 August 2011 / Published online: 22 September 2011

    AOCS 2011

    Abstract Lard (LD) has been commonly used as an

    adulterant in fats and oils. The similar physical character-

    istic of virgin coconut oil (VCO) to LD makes LD a desir-

    able adulterant in VCO. Differential scanning calorimetry

    (DSC) provides unique thermal profiling for each oil and

    can be used to detect LD adulteration in VCO. In the heating

    thermogram of the mixture, there was one major endo-

    thermic peak (peak A) with a smaller shoulder peak

    embedded in the major peak that gradually smoothed out to

    the major peak as the LD% increased. In the cooling ther-

    mogram, there were one minor peak (peak B) and two major

    exothermic peaks, peak C which increased as LD%

    increased and peak D which decreased in size as the LD%

    increased. From Stepwise Multiple Linear regression

    (SMLR) analysis, two independent variables were found to

    be able to predict LD% adulteration in VCO with R2

    (adjusted) of 95.82. The SMLR equation of LD% adulte-

    ration in VCO is 293.1 - 11.36 (Te A) - 2.17 (Tr D); where

    Te A is the endset of peak A and Tr D is the range of thermal

    transition for peak D. These parameters can serve as a good

    measurement index in detecting LD adulteration in VCO.

    Keywords Virgin coconut oil Lard Adulteration Differential scanning calorimetry Stepwise multiplelinear regression

    Introduction

    Thermal analysis (TA) is one of the main methods of

    analysis in food studies and industries. TA was first

    developed in 1887 and has ever since applied for qualita-

    tive and quantitative analyses ranging from the studies in

    pharmaceutical, polymers, minerals, biological sciences,

    ceramics, food and metals [1]. The TA techniques include

    differential thermal analysis (DTA), thermogravimetric

    analysis (TGA), dielectric thermal analysis (DEA), ther-

    momechanical analysis (TMA) and differential scanning

    calorimetry (DSC). DSC is in fact, one the most common

    TA techniques applied in food analysis [2].

    DSC is one of the TA methods that apply the principle of

    heat difference of a sample by thermo-physical transitions,

    i.e. exothermic and endothermic changes. When a sample is

    heated or cooled, it goes through phase transitions from

    solid to liquid and liquid to solid in which heat is either

    absorbed (endothermic) or released (exothermic). In the

    study of fats and oils, DSC is not only capable of deter-

    mining the crystallization and the melting behavior, but it

    has the sensitivity to detect polymorphism where more than

    one crystalline structure exists in a given substance [3].

    In addition, DSC does not require the use of excessive

    amounts of chemicals and reagents and is an indispensable

    tool for understanding the physicochemical properties and

    decomposition of fats and oil [4]. In line with diverse

    choice of phase change studies, DSC is also applicable to

    monitoring thermo-oxidative decomposition [5] as well as

    for detecting adulterations in fats and oils [69].

    T. S. T. Mansor Y. B. Che Man (&) M. ShuhaimiHalal Products Research Institute, Universiti Putra Malaysia,

    43400 Serdang, Selangor, Malaysia

    e-mail: [email protected]

    Y. B. Che Man

    Department of Food Technology,

    Faculty of Food Science and Technology,

    Universiti Putra Malaysia, 43400

    Serdang, Selangor D.E., Malaysia

    M. Shuhaimi

    Faculty of Biotechnology and Biomolecular Sciences,

    Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

    123

    J Am Oil Chem Soc (2012) 89:485496

    DOI 10.1007/s11746-011-1936-3

  • In the Muslim and Jewish societies, major concern lies

    in detecting unlawful materials, especially pork and lard in

    the food. This has gained recognized attention globally as

    the Muslim and Jewish markets have grown rapidly due to

    the increasing awareness of their needs. Therefore, manu-

    facturers and producers alike should be sensitive towards

    the issue of unlawful things in food product that includes

    LD and other pork derivatives [10]. Animal fats including

    LD, have been used as adulterants in vegetable oils as well

    as being exploited to develop new products [11] in order to

    gain economical profits as LD is one of the cheapest fats

    available in the market.

    The physical characteristics of virgin coconut oil (VCO)

    is quite similar to that of lard (LD), being white to cream in

    color [12] and are also solid at room temperature of

    2225 C. VCO is recognized by its nutraceutical proper-ties, which can act as primary prevention and treatment for

    many illnesses relating to atherosclerosis [13]. It has been

    postulated as a good antioxidant source and good throm-

    bopreventive supplements as reported by Nevin and

    Rajamohan in their studies using SpragueDawley rats [14,

    15]. Hence, blending of this VCO with LD would generate

    more profit, as LD is comparatively cheaper than VCO. The

    objective of this study is to apply DSC and chemometrics to

    detect the presence of LD in VCO. In addition, fatty acid

    (FA) and triacylglycerol (TAG) analyses were performed by

    gas chromatographyflame ionization detector (GCFID)

    and high performance liquid chromatography (HPLC),

    respectively. The use of GCFID and HPLC managed to

    detect the presence of LD in VCO, however, they are

    both complex and laborious. In contrast, DSC offers a less

    hazardous technique and able to provide qualitative and

    quantitative analysis to detect LD adulteration in VCO.

    Materials and Methods

    VCO was prepared by the fermentation method described

    by Che Man et al. [16] with some modifications and

    without the use of a pure bacterial culture. Endosperm of

    mature coconut was obtained from a local market in

    Selangor, Malaysia and grated. It was made into a viscous

    slurry with 1:1 coconut meat:water ratio (w/v) and subse-

    quently squeezed through cheesecloth to obtain its milk.

    The coconut milk was left for 48 h at 35 C for the naturalfermentation process that helps to destabilize the coconut

    milk emulsion. The oil obtained was subsequently sieved

    through Whatman filter paper No 1 and kept in a refrig-

    erator (-4 C) until further use.LD was prepared from rendering the adipose tissues of

    pigs according to the method performed by Syahariza et al.

    [17]. Adipose tissues from various parts of slaughtered pigs

    was rendered and then filtered. The LD obtained was

    placed into a container, flushed with nitrogen and stored

    until further use. The chemicals and solvents used were of

    analytical grade, unless otherwise specified. TAG standards

    were purchased from Sigma Aldrich (St. Louis, MO, USA).

    Preparation of Blends

    Mixtures of VCO and lard were prepared according to

    percentage of lard in VCO (v/v). The blends of 1, 2, 3, 5,

    7.5, 10, 20 and 30% LD in VCO were prepared in

    triplicate.

    Chemical Analysis

    Saponification values (SV) were performed on sample

    admixtures according to the AOAC official method [18].

    Ethanolic potassium hydroxide (0.5 N) were added to the

    samples and the mixtures were brought to the boil in a

    reflux condenser for about 60 min. After cooling, the

    mixtures were titrated with 0.5 N HCl. All determinations

    were carried out in triplicate.

    Fatty Acid Compositional Analysis

    The FA composition was performed using gas chroma-

    tography with a flame ionization detector (GCFID)

    (Agilent 6890 N Network GC system). Prior to GC anal-

    ysis, the sample admixtures were trans-esterified using

    sodium methoxide. Samples were mixed with hexane

    (0.8 ml) and sodium methoxide (1 M, 0.2 ml). It was

    subsequently vortexed for 5 s and the supernatant collected

    and stored at -4 C until further use.The fatty acid methyl ester (FAME) analysis was con-

    ducted according to the method described by Nor Hayati

    et al. [9]. A 1-ll sample was injected by the Agilent 7683BSeries Injector into the GCFID. Helium 99.95% was the

    carrier gas used at a flow setting of 6.8 ml/min. The oven

    temperature was initiated at 50 C and held for 1 min, thenit was increased to 180 C (8 C/min) and held for another2 min, and subsequently increased to the set point of 200 C(5 C/min) and held for 5 min. Analyses were carried out intriplicate and presented as means and standard deviations.

    Triacylglycerol Compositional Analysis by HPLC

    TAG analysis was performed using reverse-phase HPLC

    (Waters, Milford, MA) coupled with a Waters refractive

    index detector. Oil samples were diluted in acetone (1:9 v/v)

    and isocratically eluted with acetone:acetonitrile (63.5:36.5

    v/v) as the mobile phase. The column used in this study was

    a LiChroCART 100-RP-18 (5 lm 9 12.5 cm 9 4 mm i.d.;Merck, Darmstadt). For each analysis, 10-ll sampleswere injected. TAG peaks were analyzed by the Empower

    486 J Am Oil Chem Soc (2012) 89:485496

    123

  • software (Milford, MA) and identified based on the reten-

    tion time of TAG standards, which were then presented as

    percentage areas.

    Thermal Analysis by DSC

    Approximately 9 mg of each oil sample was weighed into

    an aluminum pan and sealed into place. Thermal analyses

    were performed using a DSC 823e Mettler Toledo instru-

    ment equipped with a sample robot (Julabo FT400

    intracooler) and STARe excellence software for data

    interpretation. The instrument was calibrated with indium

    and n-dodecane. The reference used was an empty covered

    aluminum pan of the same size as used in the samples.

    Samples were subjected to the following programmed

    temperature ramp: 60 C isotherm for 5 min, cooled at5 C/min to -60 C and held for 5 min. It was subse-quently heated from -60 to 60 C at 5 C/min. The scan-ning rate was programmed at 5 C/min to reduce the lag inoutput response from the DSC instrument as well as to

    preserve the minor peaks and to reduce the peak smoothing

    tendencies, which can occur at a high scanning rate. The

    thermal characteristics that were determined in our study

    are the melting and cooling transition temperatures (mea-

    sured from the DSC curve as the maximum peak tempera-

    ture), the onset (To) and endset (Te) temperatures (measured

    as the point where extrapolation of the leading and ending

    curve edge intersects with the baseline) and the temperature

    range for cooling and melting phase (Tr) (determined from

    the differences between the onset and endset temperatures).

    Statistical Analysis

    All experiments were carried out in triplicate and analyzed

    using one-way analysis of variance (ANOVA) using the

    Minitab version 14 (Minitab Inc., State College, PA, USA).

    Tukeys test was utilized to ascertain the significant differ-

    ences among means at the level of p \ 0.05. DSC data werefurther evaluated by the stepwise multiple linear regression

    model using Minitab version 14 (Minitab Inc., State College,

    PA, USA). The significant difference of the independent

    variables was set at 0.05 for the entry and stay of the calibration

    model. R-square (R2) (adjusted) were chosen for this study to

    reduce the chance variation of predictors given by the R2.

    Results and Discussion

    Chemical Analysis

    The SV of pure VCO was 251.44 mg KOH/g while LD has

    a SV of 190.55 mg KOH/g. Both SV conform to the

    standards given by Asian and Pacific Coconut Community

    [19] and Codex Alimentarius Commission [12], for VCO

    and LD, respectively. The SV refers to the weight in mg of

    potassium hydroxide required to saponify 1 g of fats. This

    value also relates to the mean molecular mass of the fats

    and oils through an inverse relationship because the longer

    the FA chain, the higher mean molecular mass is and

    therefore the lower SV it would be.

    LD has a lower SV as compared to VCO because LD

    contains large amounts of long chain FA, mostly palmitic

    and stearic. In contrast, VCO has a high SV because it con-

    tains large amounts of lauric and myristic acid. The SV for

    the admixtures used in this study are presented in Table 1.

    Fatty Acid Compositional Analysis

    VCO is known as a medium chain oil because of the high

    content of medium chain fatty acids. It contains predomi-

    nantly lauric acid (C12:0) and other medium chain FA such

    as capric and caproic acids as presented in Table 2. The

    content of lauric acid in VCO is 48.47 0.02% of the total

    FA. The bulk of FA are mostly of medium chain FA

    (containing 612 carbons), which is approximately 63.85%

    of the total FA. The rest of FA are long chain FA (36.15%)

    and there were only minor presence of monounsaturated

    and polyunsaturated fats (6.15%).

    In contrast to VCO, LD contains more long chain FA

    and higher proportions of monounsaturated (41.36%) and

    polyunsaturated FA (18.33%). As the LD concentration

    increases in the sample admixtures, the proportion of the

    saturated to unsaturated FA decreases. This is in line with

    the inherent FA structure of LD, which has high unsatu-

    rated FA and lower lauric acids than VCO. The increments

    of LD in VCO are reflected in the reduction of lauric acid

    and the increase of oleic acid percentage in the mixtures.

    Table 1 Saponification value (SV) of virgin coconut oil (VCO)adulterated with lard (LD) (v/v)

    Lard concentration (%) SV (mg KOH/g oil)

    0 251.44 1.56a

    1 247.92 2.12a,b

    2 246.38 1.06b,c

    3 243.64 2.36c,d

    5 242.85 0.84c,d,e

    7.5 241.26 1.26d,e,f

    10 239.59 1.77d,e,f,g

    15 234.62 0.84h

    20 229.75 1.15i

    30 222.09 0.68j

    100 190.55 1.25k

    Each value in the table represents the mean standard deviation of

    triplicate analyses and means within each column with different

    superscript letters are statistically significant at p \ 0.05

    J Am Oil Chem Soc (2012) 89:485496 487

    123

  • TAG Analysis by Reverse-Phase HPLC

    Oil and fats are mostly composed of TAG and FA, with

    small amounts of free fatty acids. TAG is the essence of oil

    and fats, which correlates to the cooling and melting

    behavior seen in thermal analysis. Table 3 shows the TAG

    profiles of pure VCO, LD and admixtures between them.

    VCO had high percentage of LaLaLa (La:Lauric), which

    Table 2 Composition of fatty acids (FAs) in virgin coconut oil (VCO) adulterated with different concentration of lard (LD) (v/v)

    Lard

    concentration (%)

    Fatty acids

    C6 C8 C10 C12 C14 C16

    0 0.68 0.00a 8.20 0.01a 6.50 0.00a 48.47 0.02a 18.25 0.00a 8.77 0.00a

    1 0.67 0.01a,b 8.30 0.06a,b 6.53 0.04a,b 46.33 0.21b 17.42 0.02b 9.18 0.07a

    2 0.59 0.02a,b,e,f 7.39 0.19a,b,c,e,f 6.00 0.09c,f 44.51 0.37b,f 18.39 0.03a,b,f 10.08 0.11f

    3 0.67 0.00a,b,e,f,g,h 8.34 0.05a,b,e,f,g,h 6.57 0.05a,b,h 46.56 0.26 h 17.41 0.02b,h 9.13 0.08a,h

    5 0.63 0.01a,b,c,e,f,g,h,i,j 7.80 0.05a,b,c,e,f,g,h,i 6.15 0.03c,f,j 43.64 0.17j 16.54 0.01c,j 9.98 0.05f,j

    7.5 0.60 0.00a,b,e,f,g,h,i,j 7.61 0.02c 6.06 0.00a,f,j 43.42 0.03j 16.76 0.00c,j 10.21 0.01f,j

    10 0.33 0.24c 6.54 1.30a,b,c,e 5.77 0.25c 42.26 0.04c 16.43 0.38c 10.98 0.42c

    15 0.54 0.02a,b,c,e 7.01 0.04a,b,c,e 5.58 0.01c,e 39.75 0.09e 15.34 0.02e 11.48 0.01c,e

    20 0.52 0.02a,b,c,e,f,g 6.83 0.11a,b,c,e,f,g 5.48 0.08c,e,g 39.10 0.55e,g 15.03 0.10e,g 12.13 0.16g

    30 0.46 0.01a,b,c,e,f,g,h,i 5.86 0.04c,e,g,i 4.68 0.03i 33.22 0.16i 13.07 0.03i 13.90 0.04i

    100 0.00 0.00d 0.00 0.00d 0.04 0.06d 0.07 0.10d 1.47 0.00d 24.96 0.28d

    Lard

    concentration

    (%)

    Fatty acids

    C17:0 C18:0 C18:1 C18:2 C18:3 C20:2

    0 0.00 0.00a 2.99 0.00a 6.08 0.00a 0.07 0.00a 0.00 0.00a 0.00 0.00a

    1 0.00 0.00a,b 2.93 0.07a,b 6.97 0.16a,b 1.66 0.03b 0.00 0.00a,b 0.00 0.00a,b

    2 0.00 0.00a,b,f 3.51 0.16f 7.76 0.35b,f 1.78 0.07b,f 0.00 0.00a,b,c,f 0.00 0.00a,b,c

    3 0.00 0.00a,b,f,h 2.78 0.09a,b,h 6.82 0.17a,b,h 1.72 0.04b,f,h 0.00 0.00a,b,c,f,h 0.00 0.00a,b,c,d

    5 0.00 0.00a,b,f,h,j 3.50 0.07c,f,j 8.98 0.13j 2.78 0.03j 0.00 0.00a,b,c,f,h,j 0.00 0.00a,b,c,d,e

    7.5 0.00 0.00a,b,f,h,j 3.76 0.00c,f,j 9.22 0.01j 2.37 0.00k 0.00 0.00a,b,c,f,h,j 0.00 0.00a,b,c,d,e,f

    10 0.08 0.01c 3.94 0.12c 10.46 0.56c 3.14 0.16c 0.06 0.00a,b,c 0.04 0.08a,b,c,d,e,f,g

    15 0.11 0.00e 4.33 0.02e 11.86 0.04e 3.82 0.01e 0.13 0.00e 0.05 0.09a,b,c,d,e,f,g,h

    20 0.13 0.00g 4.23 0.17c,e,g 12.19 0.46e,g 4.15 0.14g 0.15 0.00e,g 0.06 0.08a,b,c,d,e,f,g,h,i

    30 0.19 0.00i 5.63 0.06i 16.50 0.16i 6.06 0.06i 0.24 0.00i 0.19 0.11a,b,c,d,e,f,g,h,i,j

    100 0.64 0.00d 13.13 0.17d 41.36 0.54d 17.08 0.18d 0.80 0.05d 0.44 0.62a,b,c,d,e,f,g,h,i,j,k

    FA Lard concentration (%)

    0 1 2 3 5

    SFA 93.85 0.00a 91.37 0.19b 90.47 0.43a,c 91.46 0.21b,c,d 88.42 0.16e

    MUFA 6.08 0.00a 6.97 0.16a,b 7.76 0.35b,c 6.82 0.17a,b,d 9.22 0.13e

    PUFA 0.07 0.00a 1.66 0.04b 1.78 0.07b,c 1.72 0.04b,c,d 2.37 0.03e

    Lard concentration (%)

    FA 7.5 10 15 20 30 100

    SFA 88.24 0.01e,f 86.31 0.82g 84.14 0.13h 83.45 0.52h.i 77.01 0.17j 40.31 0.06k

    MUFA 8.98 0.01e,f 10.46 0.56g 11.86 0.04h 12.19 0.46h.i 16.50 0.16j 41.36 0.54k

    PUFA 2.78 0.00e,f 3.24 0.26f,g 4.00 0.10h 4.36 0.07h.i 6.49 0.08j 18.33 0.49k

    Each value in the table represents the mean standard deviation of triplicate analyses and means within each column with different superscript

    letters are statistically significant at p \ 0.05C6 caproic acid, C8 caprylic acid, C10 capric acid, C12 lauric acid, C14 myristic acid, C16 palmitic acid, C18 stearic acid, C18:1 oleic acid,C18:2 linoleic acid, C18:3 linolenic acid, C20:2 eicosadienoic acid, SFA saturated fatty acid, MUFA monounsaturated fatty acid, PUFApolyunsaturated fatty acids

    488 J Am Oil Chem Soc (2012) 89:485496

    123

  • Ta

    ble

    3T

    AG

    com

    po

    siti

    on

    of

    vir

    gin

    coco

    nu

    to

    il(V

    CO

    )ad

    ult

    erat

    edw

    ith

    dif

    fere

    nt

    con

    cen

    trat

    ion

    of

    lard

    (LD

    )(v

    /v)

    Tri

    acy

    lgly

    cero

    lL

    ard

    con

    cen

    trat

    ion

    (%)

    01

    23

    5

    Cp

    Cp

    La

    1.5

    4

    0.0

    2a

    1.6

    8

    0.0

    8a,b

    1.8

    2

    0.1

    6b,c

    1.8

    2

    0.0

    5b,c

    ,d2

    .20

    0

    .05

    e

    Cp

    CL

    a3

    .86

    0

    .03

    a3

    .84

    0

    .05

    a3

    .86

    0

    .04

    a,b

    3.9

    0

    0.0

    3a,b

    4.0

    3

    0.0

    2a,b

    CC

    La

    12

    .99

    0

    .02

    a1

    2.7

    0

    0.0

    1a,b

    12

    .55

    0

    .02

    a,b

    ,c1

    2.5

    8

    0.0

    3a,b

    ,c,d

    12

    .43

    0

    .01

    a,b

    ,c,d

    ,e

    CL

    aLa

    17

    .21

    0

    .04

    a1

    7.0

    7

    0.0

    3a,b

    16

    .85

    0

    .05

    a,b

    ,c1

    6.8

    7

    0.0

    6a,b

    ,c,d

    16

    .54

    0

    .02

    a,b

    ,c,d

    ,e

    LaL

    aLa

    21

    .43

    0

    .05

    a2

    1.4

    2

    0.0

    2a,b

    21

    .19

    0

    .03

    a,b

    ,c2

    1.2

    3

    0.0

    5a,b

    ,c,d

    20

    .93

    0

    .01

    a,b

    ,c,d

    ,e

    LaL

    aM1

    6.2

    3

    0.0

    4a

    16

    .33

    0

    .04

    a,b

    16

    .14

    0

    .04

    a,b

    ,c1

    6.1

    0

    0.0

    6a,b

    ,c,d

    15

    .78

    0

    .02

    a,b

    ,c,d

    ,e

    LaL

    aO3

    .08

    0

    .02

    a3

    .05

    0

    .02

    a3

    .05

    0

    .03

    a3

    .08

    0

    .02

    a3

    .18

    0

    .01

    a

    LaM

    M1

    0.0

    2

    0.0

    5a

    10

    .01

    0

    .02

    a,b

    9.9

    0

    0.0

    3a,b

    ,c9

    .90

    0

    .00

    a,b

    ,c,d

    9.6

    7

    0.0

    1a,b

    ,c,d

    ,e

    LL

    L0

    .42

    0

    .00

    a0

    .42

    0

    .02

    a0

    .45

    0

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    .47

    0

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    .57

    0

    .01

    a

    MM

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    0

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    a0

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    .00

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    .00

    a

    OM

    L?

    LP

    L0

    .00

    0

    .00

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    .00

    0

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    a0

    .00

    0

    .00

    a0

    .00

    0

    .00

    a0

    .00

    0

    .00

    a

    LaM

    O2

    .40

    0

    .00

    a2

    .36

    0

    .01

    a2

    .36

    0

    .02

    a2

    .37

    0

    .01

    a2

    .44

    0

    .01

    a

    LaM

    P5

    .25

    0

    .02

    a5

    .21

    0

    .01

    a5

    .17

    0

    .01

    a5

    .19

    0

    .02

    a5

    .11

    0

    .00

    a

    LaO

    O0

    .36

    0

    .25

    a0

    .53

    0

    .00

    a0

    .54

    0

    .00

    a0

    .56

    0

    .02

    a,b

    0.5

    8

    0.0

    0a,b

    LaP

    O1

    .38

    0

    .00

    a1

    .32

    0

    .01

    a1

    .30

    0

    .01

    a1

    .31

    0

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    J Am Oil Chem Soc (2012) 89:485496 489

    123

  • Ta

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    rol

    490 J Am Oil Chem Soc (2012) 89:485496

    123

  • was 21.43 0.05% of the total TAG. Marina et al. [20]

    also reported LaLaLa as the most predominant TAG in

    VCO with values ranging from 22.78 to 25.84%, slightly

    higher than the value obtained in this study. This could be

    attributed to the different method of extractions, the ripe-

    ness, the cultivar type, growing condition and the origin of

    the coconut. As expected, the values of LaLaLa drops as

    the LD% adulteration increases. All TAG that had lauric

    acid as one of the FA in the backbone such as CpCpLa,

    CpCLa, CLaLa, LaLaM, LaLaO or LaMM all decreased in

    percentage as the adulteration increased.

    OPO/POO and SPO are two TAG that showed a sig-

    nificant increase as LD% adulteration increased. LD is

    quite unique in that it has a high predominance of saturated

    FA especially palmitic acid at the sn-2 position, unlike

    most other oils and fats [21]. The presence of palmitic acid

    at the sn-2 position increases the risk of developing ath-

    erosclerosis, as it contributes to an increase in fat absorp-

    tion and delays chylomicron clearance from the blood

    vessels [22]. However, the traditional chromatographic

    TAG analysis alone would not be able to distinguish reg-

    ioisomerism in fats and oils, in which there are positional

    varieties of FA on the glycerol backbone of TAG such as

    that seen in OPO/POO, SOO/OSO and PPO/POP. To

    identify specific regioisomers in TAG would therefore

    require prior analysis such as enzymatic hydrolysis or more

    advanced chromatographic analysis [21]. This is particu-

    larly seen for OPO/POO TAG in our analysis, as VCO also

    contain POO at 0.34%. Although OPO/OOP TAG increa-

    ses with increments of LD in VCO, further analysis should

    be performed to ensure this TAG is OPO of LD.

    The TAG analysis would therefore compliment the

    thermal study of VCO in detecting LD adulterations. This

    is due to the fact that thermal behavior of fats and oils are

    caused by TAG. Indeed, the variety of TAG present in oil

    and fats causes the melting and cooling phase to occur over

    a temperature span. For these reasons, it should be worthy

    to discuss TAG and DSC analysis concurrently.

    Thermal Analysis by DSC

    Heating Thermogram

    VCO and LD contain different amounts of saturated and

    unsaturated TAG and FA, although the physical properties

    are almost similar. The saturated to unsaturated FA ratio in

    VCO from the FA analysis is 15.26 as compared to 0.67 in

    LD. TAG is unique because the wide range of TAG

    arrangements and saturation levels lead to the development

    of multiple endothermic and exothermic peaks seen in the

    DSC curves. The more saturated the TAG, the higher the

    melting temperature will be and the less saturated the TAG,

    the lower the melting temperature. The oils containing

    more saturated FA and TAG would have higher melting

    points, which is evident from our study where the VCOs

    melting temperature is 23.16 C and it shows two over-lapping endothermic peaks. There is a smaller shoulder

    peak embedded in the major endothermic peak caused by

    the difference in the content of saturated and unsaturated

    TAG and FA in the VCO. The smaller shoulder peak

    corresponds to the lower melting fraction of the VCO (the

    unsaturated TAG and FA) and the bigger major peak cor-

    responds to the higher melting fractions (the saturated TAG

    and FA). In turn, as LD contains more unsaturated FA and

    TAG, therefore, it contributes to the development of a

    lower melting point, seen at -3.93 and 18.83 C (Fig. 1) astwo major endothermic peaks.

    In LD, the first major peak at -3.93 C is due mostly tothe unsaturated TAG and FA (ratios of unsaturated to sat-

    urated are 61.41:20.43 and 59.69:40.31 for TAG and FA,

    respectively) and the second peak is caused mostly by the

    saturated TAG and FA. Due to the higher ratio of

    Fig. 1 Differential scanningcalorimetry (DSC) heating

    thermogram of pure virgin

    coconut oil (VCO) and pure

    lard (LD)

    J Am Oil Chem Soc (2012) 89:485496 491

    123

  • unsaturated FA and TAG in LD, the first major peak is seen

    to be bigger than the second endothermic peak. Marikkar

    et al. [7] reported another minor endothermic peak at

    -17.2 C, which was observed as a peak broadening thatstarts at sub-zero temperatures in our study, corresponding

    to the minor peak found in genuine LD studied by Marikkar

    et al. [7]. This phenomenon could be related to the use of a

    different DSC model and different sample preparations.

    As LD was successively added to VCO from a zero to a

    30% concentration, the melting thermogram showed one

    major endothermic peak with a smaller shoulder peak

    embedded in the major peak. This major peak was called

    peak A and is shown in Fig. 2. As explained by Tan et al.

    [23, 24], the presence of the inseparable shoulder peak is

    due to the complex nature of TAG that can melt over the

    same temperature range and the presence of a smaller or

    shoulder peak is due to differing type of TAG. The more

    saturated the TAG is, the higher the melting point and vice

    versa. Qualitatively, there was gradual smoothing of the

    shoulder peaks which was obvious at the level of 20% LD

    adulteration. In addition, the To and the Te of peak A slid

    down to a lower temperature transition from the pure VCO

    with increasing LD, as evident from Table 4. The melting

    enthalpy for VCO, taken from the measurement of the area

    under the peaks in the melting curve was 110.53 4.18 J/g,

    which decreases as the LD% increases. This is in agreement

    with the high saturation in VCO that renders a higher melting

    enthalpy than LD.

    It was deduced here that the peak at higher temperatures

    belongs to the multiple TAG that are more saturated and

    hence the higher melting temperature. It is known that

    multiple TAG can melt at the same temperature range

    simultaneously, leading to the formation of a single broad

    peak. However, it is impossible to determine which specific

    TAG contributes to the specific peak by DSC alone in the

    fats and oil system as they are composed of mixtures of

    TAG that melt or crystallize over the same temperature

    range. Further evaluation should be made using X-ray

    Fig. 2 Differential scanningcalorimetry (DSC) heating

    thermogram of virgin coconut

    oil (VCO) adulterated with

    lard (LD) (v/v)

    Table 4 Differential scanning calorimetry (DSC) heating thermogram peak maxima (max T peak A), onset (To A), endset (Te A) and range ofthermal transition (Tr A) of virgin coconut oil (VCO) adulterated with lard (LD) (v/v)

    % Lard To A Max T peak A Te A Tr A

    0 10.27 1.77a 23.16 0.10a 25.10 0.13a 14.89 1.68a

    1 9.23 0.12a,b 23.03 0.20a,b 25.15 0.13a,b 15.92 0.03a,b

    2 9.06 0.05a,b,c 22.91 0.23a,b,c 25.11 0.20a,b,c 16.05 0.15a,b,c

    3 8.42 0.31a,b,c,d 22.65 0.18a,b,c,d 24.88 0.07a,b,c,d 16.46 0.26a,b,c,d

    5 8.42 0.11a,b,c,d,e 22.64 0.05a,b,c,d,e 24.81 0.02a,b,c,d,e 16.29 0.17a,b,c,d,e

    7.5 8.19 0.54a,b,c,d,e,f 22.13 0.54a,b,c,d,e,f 24.62 0.19,d,e,f 16.43 0.35a,b,c,d,e,f

    10 9.26 2.98a,b,c,d,e,f,g 21.66 0.13c,d,e,f,g 24.20 0.03f,g 14.94 3.01a,b,c,d,e,f,g

    15 10.00 2.34a,b,c,d,e,f,g,h 21.09 0.93f,g,h 24.05 0.28g,h 14.05 2.48a,b,c,d,e,f,g,h

    20 8.96 2.50a,b,c,d,e,f,g,h,i 19.87 0.36h,i 23.30 0.13i 14.34 2.36a,b,c,d,e,f,g,h,i

    30 7.92 1.77a,b,c,d,e,f,g,h,i,j 18.93 0.84i,j 22.91 0.16i,j 14.99 1.93a,b,c,d,e,f,g,h,i,j

    Each value in the table represents the mean standard deviation of triplicate analyses and means within each column with different superscript

    letters are statistically significant at p \ 0.05Max T peak max temperature of the peak, To peak onset, Te peak endset, Tr range of thermal transition

    492 J Am Oil Chem Soc (2012) 89:485496

    123

  • diffraction, neutron diffraction, or other techniques that

    would gather the structural information [6].

    DSC was able to perform a qualitative analysis towards

    detecting the presence of LD adulteration as we can see

    that when VCO is successively adulterated with LD from 1

    to 30%, the endothermic max T peak A was gradually

    formed at lower temperatures as the LD concentration

    increases (Fig. 2; Table 4). The temperature at the com-

    pletion of heating phase (Te) also decreased as VCO is

    increasingly adulterated with LD. Other changes that were

    observed are the smoothing effect of the small shoulder

    peak on VCO as the LD increased.

    Cooling Thermogram

    The DSC cooling thermograms for pure VCO and pure LD

    are shown in Fig. 3. There is one minor exothermic peak at

    -18.95 C followed by two distinct but overlapping majorexothermic peaks that were observed in VCO at 3.95 and

    -2.14 C, slightly higher than those reported by Marinaet al. [25]. This can be attributed to the different nature of

    preparation of the VCO, the growing condition of the

    coconut, the cultivar type and the maturity of the coconut.

    The existence of the two major exothermic peaks in VCO

    is related to crystallization of the TAG [25]. The small

    Fig. 3 Differential scanningcalorimetry (DSC) cooling

    thermograms of pure virgin

    coconut oil (VCO) and pure

    lard (LD)

    Fig. 4 Differential scanningcalorimetry (DSC) coolingthermogram of virgin coconut

    oil (VCO) adulterated with lard

    (LD) (v/v)

    J Am Oil Chem Soc (2012) 89:485496 493

    123

  • exothermic peaks could be related to the unsaturated TAG,

    in particular, the PPO and POO/OPO as exothermic peak at

    -18.95 C in VCO corresponds to the first major peak seenin pure LD at -16.13 C. According to the TAG analysis(Table 3), only PPO and POO/OPO TAG existed in both

    oils, which can explain the small peak in VCO due to the

    small amount of PPO and POO/OPO TAG and vice versa

    for the major first peak and the amount of the same TAG in

    LD. Nevertheless, the presence of first major peak in LD is

    not representative of these two TAG only. It represents the

    wide variety of TAG in LD that are mostly unsaturated

    since the level of saturation reflects the temperature at

    which these TAG crystallize. While the TAG within VCO

    is abundant with differing combinations of medium FA

    (lauric acid and myristic acid), short chain FA and long

    chain FA that differs in terms of its molecular mass, hence

    the widely distributed major two exothermic peaks are seen

    in Fig. 3.

    In contrast, LD has two major exothermic peaks

    observed at 8.84 and -16.13 C. These two peaks are wellseparated as compared to the major exothermic peaks in

    VCO and that the phase transition has a wider temperature

    range than VCO. This is contributed to by the different

    crystallization profile of each specific group of FA and

    TAGthe unsaturated FA and TAG crystallize at lower

    temperature and the saturated FA and TAG crystallize at

    higher temperatures. Based on the study by Fasina et al.

    [26], the FA composition of fats and oils correlates well

    with their thermal behavior. This can be explored as a basis

    of using FA composition and heating and cooling profiles

    Table 5 Differential scanning calorimetry (DSC) cooling thermogram peak maxima (max T peak B), onset (To B), endset (Te B) and range ofthermal transition (Tr B) of virgin coconut oil (VCO) adulterated with lard (LD) (v/v)

    Lard (%) To B Max T peak B Te B Tr B

    0 -18.05 1.85a -18.95 2.33a -19.64 2.45a 1.58 1.15a

    1 -18.29 4.32a,b -18.52 4.01a,b -19.19 4.02a,b 0.90 0.01a,b

    2 -18.37 2.04a,b,c -18.53 2.05a,b,c -19.29 2.00a,b,c 0.92 0.04a,b,c

    3 -18.39 0.94a,b,c,d -18.72 0.93a,b,c,d -19.49 1.07a,b,c,d 1.10 0.21a,b,c,d

    5 -18.21 4.02a,b,c,d,e -18.44 4.12a,b,c,d,e -18.97 4.02a,b,c,d,e 0.76 0.25a,b,c,d,e

    7.5 -18.43 7.65a,b,c,d,e,f -19.00 7.64a,b,c,d,e,f -20.76 7.02a,b,c,d,e,f 2.33 1.22a,b,c,d,e,f

    10 -20.76 4.07a,b,c,d,e,f,g -21.18 3.90a,b,c,d,e,f,g -21.86 4.08a,b,c,d,e,f,g 1.09 0.20a,b,c,d,e,f,g,h

    15 -21.21 4.42a,b,c,d,e,f,g,h -21.70 4.96a,b,c,d,e,f,g,h -22.50 5.27a,b,c,d,e,f,g,h 1.28 0.85a,b,c,d,e,f,g,h

    20 -24.36 3.94a,b,c,d,e,f,g,h,i -24.55 3.93a,b,c,d,e,f,g,h,i -25.19 3.99a,b,c,d,e,f,g,h,i 0.83 0.07a,b,c,d,e,f,g,h,i

    30 -13.29 2.75a,b,c,d,e,f,g,h,i,j -15.41 2.92a,b,c,d,e,f,g,h,i,j -16.14 3.05a,b,c,d,e,f,g,h,i,j 2.85 1.59a,b,c,d,e,f,g,h,i,j

    Each value in the table represents the mean standard deviation of triplicate analyses and means within each column with different superscript

    letters are statistically significant at p \ 0.05Max T peak max temperature of the peak, To peak onset, Te peak endset, Tr range of thermal transition

    Table 6 Differential scanning calorimetry (DSC) cooling thermogram peak maxima (max T peak C), onset (To C), endset (Te C) and range ofthermal transition (Tr C) of virgin coconut oil (VCO) adulterated with lard (LD) (v/v)

    Lard (%) To C Max T peak C Te C Tr C

    0 -0.09 0.25a -2.14 0.11a -4.39 0.26a 4.30 0.01a

    1 -0.46 0.16a,b -2.23 0.11a,b -4.45 0.14a,b 4.09 0.06a,b

    2 -0.44 0.02a,b,c -2.36 0.06a,b,c -4.71 0.07a,b,c 4.27 0.06a,b,c

    3 -0.63 0.75a,b,c,d -2.94 0.32d -5.36 0.28d 4.74 0.49a,b,c,d

    5 -0.54 0.67 s,b,c,d,e -2.91 0.23d,e -5.36 0.13d,e 4.83 0.62a,c,d,e

    7.5 -0.32 0.14b,c,d,e,f -3.11 0.09d,e,f -5.61 0.09d,e,f 5.29 0.06d,e,f

    10 -1.43 0.29b,c,d,e,f,g -3.88 0.10 g -6.38 0.27 g 4.95 0.04a,b,c,d,e,f,g

    15 -1.64 0.35b,c,d,e,f,g,h -4.01 0.38 g,h -6.43 0.02 g,h 4.79 0.33a,b,c,d,e,f,g,h,i

    20 -1.55 0.75b,c,d,e,f,g,h,i -4.74 0.38i -7.11 0.22i 5.56 0.54d,e,f,g,h,i

    30 0.66 0.06a,b,c,e,f,j -2.53 0.17a,b,c,d,e,j -5.76 0.04d,e,f,j 6.42 0.04j

    Each value in the table represents the mean standard deviation of triplicate analyses and means within each column with different superscript

    letters are statistically significant at p \ 0.05Max T peak max temperature of the peak, To peak onset, Te peak endset, Tr range of thermal transition

    494 J Am Oil Chem Soc (2012) 89:485496

    123

  • for food quality control besides correlating the TAG

    composition alone with DSC thermal parameters.

    The presence of the small exothermic peaks in VCO at

    -18.95 C (peak B) present in all the adulterated VCO. Themaximum peak B temperature stayed around -18 C from 1to 5% LD adulteration and started to decrease as % LD

    adulteration increased to 20%. Nonetheless, at 30% LD

    adulteration, the max peak B temperature increased back to

    -15.41 C. This can be explained by the possibility thatsome of the unsaturated TAG joined the saturated TAG to

    form a subsequent major exothermic peak at a higher crys-

    tallization temperature, explaining why the adulterant peak

    C has a higher crystallization temperature range (Tr peak C).

    When LD was added to VCO, the two overlapping

    peaks in VCO (assigned as adulterant peak C and D,

    respectively) can still be observed with subtle morpho-

    logical changes in the thermal curve as the LD concen-

    tration increases from 1 to 30%. Figure 4 shows the

    adulterant exothermic peak C, which was seen to increase

    as the percentage of adulteration increased, while the peak

    D reduced in size as the percentage of adulteration

    increased. Tables 5, 6 and 7 presents the cooling peak

    maxima (Tmax), onset (To), endset (Te) and the range of

    thermal transition (Tr) for peak B, C and D. From Table 8,

    the cooling enthalpy (taken from the measurement of the

    area under the peaks in the cooling curve) for VCO is

    -107.11 J/g as compared to LD with -55.02 J/g for LD.

    The cooling enthalpy supports their comparative FA and

    TAG saturation levels, i.e. VCO has a higher saturation

    leading to a larger cooling enthalpy.

    Quantitatively, DSC can estimate the percentage of LD

    adulteration in VCO using the stepwise multiple linear

    regression analysis (SMLR). The data of the temperature

    peaks, To, Te and the melting and cooling range (Tr) were

    gathered as independent predictors in the SMLR analysis.

    The regression models obtained are as follows:

    Step (1) % LD adulteration = 295.6 - 11.72 (Te A)

    (R2 adjusted = 94.67)

    Step (2) % LD adulteration = 293.1 - 11.36 (Te A)

    - 2.17 (Tr D) (R2 adjusted = 95.82)

    where, (Te A) = endset peak A (Tr D) = temperature

    range for peak D

    From the above equations, Te A and Tr D were good

    predictors for determining LD% adulteration in VCO.

    Therefore, both the melting and cooling profiles of VCO

    are important in determining the presence of LD

    adulteration.

    Table 7 Differential scanning calorimetry (DSC) cooling thermogram peak maxima (max T peak D), onset (To D), endset (Te D) and range ofthermal transition (Tr D) of virgin coconut oil (VCO) adulterated with lard (LD) (v/v)

    % Lard To D Max T peak D Te D Tr D

    0 5.13 0.05a 3.95 0.12a 2.17 0.16a 2.96 0.11a

    1 4.50 0.29b 3.28 0.06a,b 1.60 0.07a,b 2.90 0.29a,b

    2 4.45 0.02b,c 3.36 0.01a,b,c 1.71 0.04a,b,c 2.74 0.05a,b,c

    3 4.37 0.03b,c,d 3.10 0.13b,c,d 1.34 0.12a,b,c,d 3.05 0.45a,b,c,d

    5 4.40 0.20b,c,d,e 2.97 0.36b,c,d,e 1.26 0.43b,c,d,e 3.14 0.69a,b,c,d,e

    7.5 4.32 0.02b,c,d,e,f 3.16 0.09b,c,d,e,f 1.46 0.12a,b,c,d,e,f 2.86 0.11a,b,c,d,e,f

    10 4.17 0.02c,d,e,f,g 2.85 0.26b,c,d,e,f,g 1.01 0.18c,d,e,f,g 3.16 0.19a,b,c,d,e,f,g

    15 4.17 0.01c,d,e,f,g,h 2.62 0.61b,d,e,f,g,h 0.69 0.84c,d,e,f,g,h 3.48 0.84a,b,c,d,e,f,g,h

    20 3.94 0.02g,h,i 2.81 0.05b,c,d,e,f,g,h,i 0.83 0.15b,c,d,e,f,g,i 3.11 0.17a,b,c,d,e,f,g,h,i

    30 3.95 0.04g,h,i,j 3.35 0.02a,b,c,d,e,f,g,h,i,j 2.05 0.05a,b,c,d,e,f,j 1.90 0.02b,c,f,j

    Each value in the table represents the mean standard deviation of triplicate analyses and means within each column with different superscript

    letters are statistically significant at p \ 0.05Max T peak max temperature of the peak, To peak onset, Te peak endset, Tr range of thermal transition

    Table 8 Cooling and melting partial enthalpy (D) of virgin coconutoil (VCO) adulterated with lard (LD) (v/v)

    Lard

    concentration

    (%)

    Cooling enthalpy (J/g) Melting enthalpy (J/g)

    0 -107.11 3.04a 110.53 4.18a

    1 -106.23 0.89a,b 110.03 0.89a

    2 -106.12 0.68a,b,c,e,f 109.66 0.98a,c,d

    3 -105.41 2.45a,b,c,e,f,g 109.38 4.69a,b,c,d,e,f

    5 -105.49 1.23a,b,c,e,f,g,h,i 109.65 0.90a,b,c,d,e,f,h

    7.5 -103.74 1.61a,b,c,e,f,g,h,i 106.92 5.30a,b,c,e,f,g,h

    10 -101.91 0.99a,b,c 108.57 1.27a

    15 -100.44 2.13a,b,c,e 105.94 3.87a,c

    20 -99.18 2.29a,b,c,e,f 104.70 2.09a,c,d,e

    30 -97.46 1.02b,c,e,f,g,h 99.64 1.77c,e,g

    100 -55.02 8.87d 57.00 1.48b

    Each value in the table represents the mean standard deviation of

    triplicate analyses and means within each column with different

    superscript letters are statistically significant at p \ 0.05

    J Am Oil Chem Soc (2012) 89:485496 495

    123

  • Conclusions

    This work showed the ability of DSC to detect changes in

    the cooling and heating curves of VCO when it is adulter-

    ated with LD. Qualitatively, the curves showed subtle

    changes such as the size increase of exothermic peak C,

    reduction in exothermic peak D and the smoothing effect of

    shoulder peak A in the endothermic peak as the percentage

    of LD adulteration increased. Through the use of stepwise

    multiple linear regression analysis, two independent DSC

    parameters were able to predict LD% adulteration in VCO

    with an R2 (adjusted) of 95.82. These parameters are the TeA in the endothermic curve and Tr D in the exothermic

    curve. Although TAG and FA analysis by the HPLC and

    GCFID, respectively, were able to detect LD adulteration

    in VCO with high confidence, they did not provide a

    qualitative analysis and are restricted by the use of chemi-

    cals and the requirement for highly trained personnel to

    operate the systems. The Te A in the endothermic curve and

    Tr D in the exothermic curve may offer an attractive mea-

    surement index for the detection of LD in VCO. In addition,

    DSC also offers the advantage of being a simple and

    chemical free method in the study of adulteration in oils.

    Acknowledgments The authors are grateful and would like to thankUniversiti Putra Malaysia (UPM) for providing the funding support

    awarded to Prof. Dr. Yaakob B. Che Man through the RUGS 91032

    grant.

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    Employment of Differential Scanning Calorimetry in Detecting Lard Adulteration in Virgin Coconut OilAbstractIntroductionMaterials and MethodsPreparation of BlendsChemical AnalysisFatty Acid Compositional AnalysisTriacylglycerol Compositional Analysis by HPLCThermal Analysis by DSCStatistical Analysis

    Results and DiscussionChemical AnalysisFatty Acid Compositional AnalysisTAG Analysis by Reverse-Phase HPLCThermal Analysis by DSCHeating ThermogramCooling Thermogram

    ConclusionsAcknowledgmentsReferences