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International Journal of Scientific Research in Knowledge, 2(2), pp. 92-104, 2014
Available online at http://www.ijsrpub.com/ijsrk
ISSN: 2322-4541; ©2014 IJSRPUB
http://dx.doi.org/10.12983/ijsrk-2014-p0092-0104
92
Full Length Research Paper
Nutritional and Anti-Nutritional Composition of Bridelia Ferruginea Benth
(Euphorbiaceae) Stem Bark Sample
Adesina Adeolu Jonathan1*
, Akomolafe Seun Funmilola2
1Department of Chemistry, Ekiti State University, PMB 5363, Ado Ekiti, Nigeria
2Department of Biochemistry, Ekiti State University, PMB 5363, Ado Ekiti, Nigeria
*Corresponding Author: Email: [email protected]
Received 06 December 2013; Accepted 11 January 2014
Abstract. Nutritional composition of Bridelia ferruginea Benth (Euphorbiaceae) stem bark sample was evaluated. The
percentage protein, fat, fibre and carbohydrate contents were: 15.7 ± 0.30, 5.45± 0.05, 4.35 ± 0.06 and 60.7 ± 0.71 respectively
while the total gross energy was 1501kJ/100g. The mineral composition ranged from 0.25 to 74.2 mg/100g, with phosphorus
being the most concentrated. The K/Na ratio (1.80) was higher than 1.0 recommended. The mineral safety index computation
showed only Zn to be in excess based on the recommended daily allowance (RDA). The amino acid contents ranged between
0.597 – 13.1 g/100g. All the essential amino acids were present in varying amount with Isoleucine being the most
concentrated. The % TEAA and % TNEAA were: 47.8 and 52.2 respectively. The P-PER (predicted protein efficiency ratio),
pI (Isoelectric point) and EAAI (essential amino acid index) values were: 1.69, 5.14, 1.18 respectively. Based on the whole
hen’s egg amino acid scoring pattern, methionine was limiting while with respect to FAO/WHO provisional amino acid
scoring pattern and essential amino acid scoring pattern based on the requirements of pre-school child Met + Cys was limiting.
The anti-nutritional factors analyzed; phytates, tannins, oxalates, phenolic content, saponins, phytin phosphorus and alkaloids
in the sample were lower than the range of values reported for most vegetables. This study revealed that the Bridelia
ferruginea stem bark consumed in Ekiti State and other states in the South-western part of Nigeria can contribute useful
amount of nutrients to human diet.
Keywords: Nutritional, anti-nutritional composition, Bridelia ferruginea stem bark
1. INTRODUCTION
Forage trees and shrubs play an essential and multiple
roles in the balance of the Sahelian and Sudanian
ecosystems exploited by man and his animals. This
role becomes more important as the dry season grows
longer, and decreases as the mean annual rainfall
increases. It therefore grows less important from north
to south according to the rainfall gradient, which is
about 1 mm per km, or 110 mm per each degree of
latitude. Throughout West Africa, especially in areas
prone to drought, previous studies demonstrate the
importance of edible wild plants as food sources
(Grivetti et al., 1987; Sena et al., 1998). Commonly,
drought is associated with inadequate food intake and
disease, where food scarcity and inadequate dietary
intakes clearly have led to increased incidence of
malnutrition and famine (Franke and Chasin, 1980).
Use of edible wild species in combination with
domesticated foods has remained a hallmark of many
African agro-pastoral societies (Grivetti, 1978, 1979;
Grivetti et al., 1987). Traditional medicine practiced
in rural Nigeria, reveals well-documented uses of
plant barks and bark extracts, fruits, leaves, nuts and
seeds, and tubers, but with few exceptions, dietary-
medical uses of edible wild plants as components of
West African traditional medicine have not been
widely documented (Ogugbuaja et al., 1997).
Bridelia ferruginea Benth (Euphorbiaceae) is a
medicinal plant that is widely used in African
folkloric medicine. In Nigeria, it is commonly called
Kirni, Kizni (Hausa); Marehi (Fulani); Iralodan
(Yoruba), Ola (Igbo), Kensange abia (Boki). Its
habitat is the savannah especially in the moister
regions extending from Guinea to Zaire and Angola.
The tree is 6-15m high, up to1.5m in girth and bole
crooked branching low down. The bark is dark grey,
rough and often markedly scaly (Kolawole and
Olayemi, 2003). The stem bark decoction is used in
African traditional medicine to treat diarrhea,
dysentery and gynaecological disorders (including
sterility). A decoction of the leaves is used to treat
diabetes. It has even been evaluated for antimalarial
(Kolawole and Adesoye, 2010), antimicrobial
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Nutritional and Anti-Nutritional Composition of Bridelia Ferruginea Benth (Euphorbiaceae) Stem Back Sample
93
(Kareem et al., 2010), analgesic (Akuodor, et al.,
2011) and antidiabetic (Bakoma et al., 2011)
activities. B. ferruginea bark is used for treatment of
bacterial infections on wounds (Irobi et al., 1994). A
decoction of the leaves is used as a purgative and also
in the treatment of diabetes (Cimanga et al., 1999).
Roots and leaves extracts are used to cure piles,
diarrhea and dysentery (McNeely, 1990) and also
confirmed for anti-inflammation activities (Olajide et
al., 1999). Galocatechin has been isolated from the
bark (De Bruyne et al., 1997).
In western Nigeria, B. ferruginea is used as a
mouthwash and remedy for candidal oral thrush;
whereas in Northern Nigeria, the bark is used for
treatment of infections caused by poisoned arrow
wounds (Irobi et al., 1994). A decoction of the bark
extract has also been proven to have antibacterial
effect (Kolawole et al., 2006). It is also used as
purgative and a vermifuge. A macerated extract of the
bark is used in Northern Nigeria to harden beaten
laterite and mud floors (Kolawole and Olayemi,
2003). The chemical constituents of Bridelia
ferruginea have not been thoroughly examined. The
present study is therefore aimed at exploiting the
proximate, minerals, anti-nutritional and amino acid
profile of the back of Bridelia ferruginea as this
would promote its dietary-medical uses.
2. MATERIAL AND METHODS
2.1. Collection and preparation of samples
The sample was collected from local farms around
Iworoko- Ekiti, Irepodun-Ifelodun local Government
area of Ekiti State. It was properly sorted, washed,
dried, milled into fine powdered form and kept in an
air-tight plastic bottle prior to analysis.
2.2. Proximate analysis
Moisture, total ash, fiber and ether extract of the
samples were determined by the methods of the
AOAC 2005. Nitrogen was determined by a micro-
Kjeldahl method and the crude protein content was
calculated as N x 6.25 (Pearson, 1976). Carbohydrate
was determined by difference. All the proximate
results were reported in g/100 g dry weight. The
energy values obtained for carbohydrates (x 17 kJ),
crude protein (x 17 kJ) and crude fat (x 37 kJ) for each
of the samples. Determinations were in duplicate.
Table1: Proximate and some calculated parameters in the sample of Bridelia ferruginea stem bark
PEP = Proportion of total energy due to protein
PEF = Proportion of total energy due to fat PEC = Proportion of total energy due to protein
UEDP = Utilizable energy due to protein
2.3. Mineral analysis
The mineral elements were determined in the
solutions obtained above-Na and K by flame
photometry, Model 405 (Corning, Halstead Essex,
UK) using NaCl and KCl to prepare standards.
Minerals were analysed using the solutions obtained
by dry ashing the samples at 550 oC and dissolving it
in 10 % HCl (25 ml) and 5 % lanthanum chloride (2
ml), boiling, filtering and making up to standard
volume with deionized water. Phosphorus was
determined colorimetrically using a Spectronic 20
(Gallenkamp, London, UK) instrument, with KH2PO4
as a standard. All other elements (Ca, Mg, Zn, Fe, Mn,
Cu and Cr) were determined by atomic absorption
spectrophotometry, Model 403 (Perkin-Elmer,
International Journal of Scientific Research in Knowledge, 2(2), pp. 92-104, 2014
94
Norwalk, Connecticut, USA). All determinations were
made in duplicate. All chemicals used were of
analytical grade, and were obtained from British Drug
House (BDH, London, UK).
The detection limits for the metals in aqueous
solution had been determined just before the mineral
analyses using the methods of Varian Techtron, giving
the following values in µg/ml: Fe (0.01), Cu (0.002),
Na (0.002), K(0.005), Ca(0.04), Mg(0.002), Zn
(0.005), Mn (0.01) and Cr (0.02) (Varian Techtron,
1975). The optimal analytical range was 0.1 to 0.5
absorbance units with coefficients of variation from
0.9-2.2 %.
The coefficients of variation per cent were
calculated (Steel and Torrie, 1960). The percentage
contribution to energy due to protein (PEP), due to
total fat (PEF) and due to carbohydrate (PEC) as PEP
%, PEF % and PEC % respectively were calculated.
The percentage utilizable energy due to protein
(UEDP %) was also calculated. Ca/P, Na/K, Ca/Mg
and the millequivalent ratio of [K/(Ca +Mg)]; the
mineral safety index (MSI) of Na, Mg, P, Ca, Fe and
Zn were also calculated (Hathcock, 1985). To
calculate MSI, we have: RAI is recommended adult
intake; CV in the Table will represent calculated value
(CV) of calculated MSI from research results. The
differences between the standard MSI and the MSI of
the samples were also calculated.
2.4. Determination of Anti-nutritional factors
2.4.1. Determination of tannin
200mg of the sample was weighed into a 50ml sample
bottle. 10ml of 70% aqueous acetone was added and
properly covered. The bottles were put in an orbital
shaker and shaken for 2 hours at 300C. Each solution
was then centrifuged and the supernatant stored in ice.
0.2ml of each solution was pipetted into test tubes and
0.8ml of distilled water was added. Standard tannic
acid solutions were prepared from a 0.5mg/ml stock
and the solution made up to 1ml with distilled water.
0.5ml folin reagent was added to both sample and
standard followed by 2.5ml of 20% Na2CO3. The
solutions were then vortexed and allowed to incubate
for 40 minutes at room temperature after which
absorbance was red against a reagent blank
concentration of the sample from a standard tannic
acid curve (Makkar and Goodchild, 1996).
Table 2: Composition and some calculated mineral ratios in the Bridelia ferruginea bark sample
*milliequivalent ratio
2.4.2. Determination of oxalate
1g of the sample was weighed into 100ml conical
flask. 75ml of 1.5N H2SO4 was added and the solution
was carefully stirred intermittently with a magnetic
stirrer for about 1 hour and then filtered using
Whatman filter paper. 25ml of sample filtrate was
collected and titrated hot (80-900C) against 0.1N
KMnO4 solution to the point when a faint pink colour
appeared that persisted for at least 30 seconds (Day
and Underwood, 1986).
2.4.3. Determination of alkaloid
Alkaloid determination was carried out following the
procedure of Harborne(Harborne, 1973). 5.0g of the
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95
sample was weighed into a 250ml beaker and 200ml
of 10% acetic acid in ethanol was added and covered
and allowed to stand for 4h. This was filtered and the
extract was concentrated on a water bath to one
quarter the original volume. Concentrated ammonium
hydroxide was added drop wise to the extract until the
precipitation was complete. The whole solution was
allowed to settle and the precipitate was collected and
washed with dilute ammonium hydroxide and then
filtered. The residue is the alkaloid which was dried
and weighed.
2.4.4. Determination of saponin
The method used was that of Obadoni and Ochuko,
2001). 5g of the sample was put into a conical flask
and 100cm3 of 20% aqueous ethanol were added. The
sample was heated over a hot water bath for 4h with
continuous stirring at about 550C. The mixture was
filtered and the residue re-extracted with another
200ml 20% ethanol. The combined extracts were
reduced to 40ml over water bath at about 900C. The
concentrate was transferred into a 250ml separating
funnel and 20ml of diethyl ether was added and
shaken vigorously. The aqueous layer was recovered
while the ether layer was discarded. The purification
process was repeated. 60ml n-butanol was added. The
combined nbutanol extracts were washed twice with
10ml of 5% aqueous sodium chloride. The remaining
solution was heated in a water bath after evaporation;
the sample was dried in the oven to a constant weight.
The saponin content was calculated as percentage.
2.4.5. Determination of flavonoid
The method of Boham and Kocipai-Abyazan (Boham
and Kocipai-Abyazan, 1974) was followed in the
determination of flavonoid. 5g of the sample was
extracted repeatedly with 100ml of 80% aqueous
methanol at room temperature. The whole solution
was filtered through whatman filter paper (125ml).
The filtrate was later transferred into a crucible and
evaporated into dryness and weighed to a constant
weight.
2.4.6. Oxalate determination
The titration method as described by Day and
Underwood (1986) was followed. 1g of sample was
weighed into 100 ml conical flask. 75 ml 3M H2SO4
was added and stirred for 1 h with a magnetic stirrer.
This was filtered using a Whatman No 1 filter paper.
25 ml of the filtrate was then taken and titrated while
hot against 0.05 M KMnO4 solution until a faint pink
colour persisted for at least 30 s. The oxalate content
was then calculated by taking 1ml of 0.05 M KMnO4
as equivalent to 2.2 mg oxalate (Chinma and Igyor,
2007; Ihekoronye and Ngoddy, 1985).
2.4.7. Phytate content determination
This was determined by the method of Wheeler and
Ferrel (1971).100 ml of the sample was extracted with
3% trichloroacetic acid. The extract was treated with
FeCl3 solution and the iron content of the precipitate
was determined using Atomic Absorption
spectrophotometer (Pye Unicam 2900). A 4:6 Fe/P
atomic ratio was used to calculate the phytic acid
content (Okon and Akpanyung, 2005). Phytin
phosphorus (Pp) was determined and the phytic acid
content was calculated by multiplying the value of Pp
by 3.55 (Young and Greaves, 1940). Each milligram
of iron is equivalent to 1.19 mg of Pp.
Phytin phosphorus as percentage of phosphorus (Pp %
P) = Pp/P × 10
2.5. AMINO ACID ANALYSIS
The amino acid profile was determined using the
method described by Sparkman et al. (1958). Each
sample was dried to constant weight, defatted,
hydrolyzed, evaporated and loaded into the techno
sequential multi-sample amino acid analyzer (TSM).
Following the steps described below: 2 g of the dried
sample was weighed into extraction thimble and the
fat extracted with chloroform: methanol (2:1) mixture
using soxhlet extraction apparatus (AOAC, 2005).
Then, 1 g of the defatted sample was weighed into
glass ampoule. 7 ml of 6 N HCl were added and
oxygen expelled by passing nitrogen into the ampoule.
The glass ampoule was sealed and placed in an oven
preset at 1050C for 22 h. The ampoule was allowed to
cool before breaking open at the tip and the content
filtered. The filterate was then evaporated to dryness
and the residue dissolved with 5 ml acetate buffer (pH
2.0) and stored in plastic specimem bottles. 10 μl was
dispensed into the cartridge of the analyser which is
designed to seperate andanalyse free, acidic, neutral
and basic amino acids of the hydrolysate. The amount
of each amino acid present in the sample was
calculated in g/100 g protein from the chromatogram
produced.
International Journal of Scientific Research in Knowledge, 2(2), pp. 92-104, 2014
96
Table 3: Mineral safety index of Na, Mg, P, Ca, Fe, and Zn for the Bridelia ferruginea stem bark sample
TV = table value, CV = calculated value
D = difference (TV - CV)
Table 4: Anti-nutritional content of the Bridelia ferruginea stem bark samples
2.5.1. Determination of quality parameters
2.5.1.1. Determination of amino acid scores
Determination of the amino acid scores was fir
st, based on whole hen’s egg (Paul et al., 1976). In
this method, both essential and nonessential amino
acids were scored. Secondly, amino acid score was
calculated using the following formula (FAO/WHO,
1973):
Amino acid score = (amount of amino acid per test
protein (mg/g)) / (amount of amino acid per protein in
reference pattern (mg/g)).
In this method, Met + Cys and Phe + Tyr were
each taken as a unit. Also, only essential amino acids
determined were scored. Amino acid score was also
calculated based on the composition of the amino
acids obtained in the samples compared with the
suggested pattern of requirements for pre-school
children (2-5 years). Here, Met + Cys and Phe + Tyr
were each taken as a unit. Also, only essential amino
acids with (His) were scored.
2.5.1.2. Determination of the essential amino acid
index
The essential amino acid index (EAAI) was calculated
by using the ratio of test protein to the reference
protein for each of the eight essential amino acid plus
histidine in the equation that follows (Steinke et al.,
1980):
Methionine and cystine are counted as a single amino
acid value in the equation, as well as Phe + Tyr.
2.5.1.3. Determination of the predicted protein
efficiency ratio
The predicted protein efficiency ratio (P-PER) was
determined using one of the equations derived by
Alsmeyer et al. (1974), i.e.
P-PER = –0.468 + 0.454 (Leu) – 0.105 (Tyr).
2.5.1.4. Other determinations
Determination of the total essential amino acid
(TEAA) to the total amino acid (TAA), i.e.
(TEAA/TAA); total sulphur amino acid (TSAA);
percentage cystine in TSAA (% Cys/TSAA); total
aromatic amino acid (TArAA), etc; the Leu/Ile ratios
were calculated while the isoelectric point (pI) was
calculated using the equation of the form
(Olaofe and Akintayo, 2000):
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Nutritional and Anti-Nutritional Composition of Bridelia Ferruginea Benth (Euphorbiaceae) Stem Back Sample
97
pIm IPiXi
Where pIm is the isoelectric point of the mixture of
amino acids, IPi is the isoelectric point of the ith amino
acid in the mixture and Xi is the mass or mole fraction
of the ith amino acid in the mixture (Finar, 1975).
Table 5: Amino acids profile of the Bridelia ferruginea
bark samples (g/100g cp)
3. RESULTS AND DISCUSSION
The results of proximate composition of the Bridelia
ferruginea back sample are shown in Table 1. The
crude protein content (15.7 ± 0.30 %) was comparably
higher than the values reported for some vegetables
consumed in Nigeria: 5.91 % (Cnidoscolus
chayamansa), 3.31 % (Solanium nodiflorum), 3.03 %
(Senecio biafrae) (Adeleke and Abiodun, 2010);
4.60% (A. hydridus), 4.30 % (T. occidentallis)
(Fafunso and Basir, 1977) but favourably compared
with the values reported for C. maxima (18.6 %), A.
viridis (19.2 %) and B. alba (18.0%) (Adesina, 2013)
and S. indicum (18.59%), B.aegypiaca (15.86 %)
(Kubmarawa et al., 2008).
The ash content (6.54 %) of Bridelia ferruginea
back sample is an indication of the levels of minerals
or inorganic component of the sample. These minerals
act as inorganic co-factors in metabolic processes
which mean in the absence of these inorganic co-
factors there could be impaired metabolism
(Iheanacho and Udebuani, 2009). Table 1 still
contains other parameters calculated from the
proximate values. It shows the various energy values
as contributed by protein, fat and carbohydrate. The
daily energy requirement for an adult is between
2500-3000 kCal (10455-12548 kJ) depending on his
physiological state while that of infants is 740 kCal
(3094.68 kJ) (Bingham, 1978). This implies that while
an adult man would require between 590-709 g
(taking the calculated energy of 1501 kJ/100 g) of his
energy requirement, infants would require 174.9 g
(taking the calculated energy of 1501 kJ/100 g). On
the whole this meant that samples with higher energy
value would require lower quantity of sample to
satisfy the energy needs of man and infants. The
utilizable energy due to protein (UEDP %) for the
sample (assuming 60 % utilization) 10.7 %. The
UEDP % compared favourably with the recommended
safe level of 8 % for an adult man who requires about
55 g protein per day with 60 % utilization. The PEF %
values were generally low in the sample (13.4 %) and
far below the recommended level of 30 % (NACNE,
1983) and 35 % (COMA, 1984) for total fat intake;
this is useful for people wishing to adopt the
guidelines for a healthy diet.
Table 6: Concentrations of essential, non-essential, acidic,
neutral, sulphur, aromatic, basic, etc. (g/100g crude protein)
of Bridelia ferruginea stem bark samples (dry matter of
sample)
International Journal of Scientific Research in Knowledge, 2(2), pp. 92-104, 2014
98
Table 2 gives the list of the nutritionally important
minerals as well as the computed mineral ratios in
Bridelia ferruginea back sample. Minerals are
important in human nutrition. It is well known that
enzymatic activities as well as electrolytic balance of
the blood fluid are related to the adequacy of Na, K,
Mg and Zn. Potassium is very important in
maintaining the blood fluid volume and osmotic
equilibrium. Metal deficiency syndrome like rickets
and calcification of bone is caused deficiency.
Appreciable levels of all the essential minerals were
present in the the sample. The sample was apparently
high in phosphorus (74.2 ± 0.105 mg/100g), a value
which was comparably higher than what was reported
for F. asperifolia and F. sycomorus (Nkafamiya et al.,
2010). The levels of K, Na, Ca and Mg were
comparably higher than Mn and Cu levels. The Ca/P
(0.326) was comparably lower than 0.5 which is the
minimum ratio required for favourable calcium
absorption in the intestine for bone formation
(Nieman et al., 1992) although the level of Ca/P has
been reported to have some effects on calcium in the
blood of many animals (Adeyeye et al., 2012). The
value of ratio (0.556) was lower than 0.6, the value
that favours non-enhancement of high blood pressure
disease in man. Although for normal retention of
protein during growth and for balancing fluid a K/Na
ratio of 1.0 is recommended (Helsper et al., 1993), the
high value of K/Na ratio (1.80) obtained in the present
report suggests that bringing the ratio down would
require the consumption of food sources rich in Na.
the Ca/Mg value obtained for the present sample
(1.14) was fairly higher than the 1.0 recommended. It
means both that both Ca and Mg would need
adjustment for normal for normal health.
The milliequivalent ratio of [K/(Ca+Mg)] (1.31)
was comparably lower than 2.2 recommended, which
means the sample would not promote
hypomagesaemia in man (NRC, 1989; Adeyeye and
Adesina, 2012). Iron and Zinc are among the required
elements for humans and their daily requirements for
adults are 10 and 15 respectively. Levels obtained in
the present report (4.55 ± 0.02 mg/100g) (Fe) and 25.7
mg/100g (Zn)) compared favourably with the values
reported for F. asperifolia and F. sycomorus
(Nkafamiya et al., 2010). However zinc requirements
can easily be met by consuming this sample (25.7
mg/100g). Generally from the recommendation set out
by NRC/NAS, the daily requirement of Zn, Mn and
Cu can easily be met while the diets may need be
supplemented with foods high in K, Na, Ca and P.
The mineral safety index (MSI) values of the
sample are shown in Table 3. The standard MSI for
the elements are Na (4.8), Mg (15), P (10), Ca (10), Fe
(6.7) and Zn (33). For Ca, P, Mg, Fe, Cu and Na, the
MSI values ranged from 0.16 – 2.75, with all the
differences between the standard and calculated MSI
values being positive.
Let us take Na for an example, the calculate MSI
value is 0.16 and the difference is +4.64, this meant
that no amount of the sample might be overloading
the body with sodium that can lead to secondary
hypertension. For Ca, Mg and P all the calculated MSI
were lower than standard MSI and hence within the
USRDA (Hathcock, 1985). For Zn, the odd sample
out, was 56.5 and the difference was -23.5. The
implication of the above is that abnormally high level
Zn was present in the sample. The sample could cause
the reduction of Zn absorption in the small intestine in
children. The Zn MSI greater than 33 are above the
recommended adult intake. The minimum toxic dose
is 500 mg, or 33 times the RDA (Hathcock, 1985).
High doses of Zn can be harmful. Zinc supplements
can decrease the amount of high density lipoprotein
(HDL) circulating in the blood, increasing risk of
heart disease. Excess Zn interacts with other minerals,
such as Cu and Fe, decreasing their absorption. In
animals, Zn supplements decrease the absorption of
Fe so much that anaemia is produced (Adeyeye et al.,
2012).When patients are given 150 mg of Zn per day,
Cu deficiency results. Intakes of Zn only 3.5 mg/day
above the RDA decrease Cu absorption (Nieman et
al., 1992). In animals, Cu deficiency causes scarring
of the heart muscle tissue and low levels of Ca in the
bone (Adeyeye et al., 2012).
The antinutrient content of the sample are listed in
Table 4. These are compounds that limit the wide use
of many plants due to their ubiquitous occurrence of
them as natural compounds capable of eliciting
deleterious effect in man and animals (Kubmarawa et
al., 2008).
The antinutrient factors; oxalate, tannin, saponin,
phytate, alkaloids, phenolic content, phytin
phosphorus and flavonoids were present in varying
amounts in the sample.
These anti nutritional factors tend to bind to
mineral elements there by forming indigestible
complex (Nkafamiya and Manji, 2006). Oxalate for
instance tends to render calcium unavailable by
binding to the calcium ion to form complexes
(calcium oxalate crystals). These oxalate crystal
formed prevent the absorption and utilization of
calcium. The calcium crystals may also precipitate
around the renal tubules thereby causing renal stones
(Ladeji et al., 2004; Nkafamiya and Manji, 2006). In
general the levels of antinutrients in Bridelia
ferruginea bark sample are low to significantly
interfere with nutrients utilization. They are below the
established toxic level (Nkafamiya and Manji, 2006).
The amino acid profile of the Bridelia ferruginea
back sample is shown in Table 5. The levels of the
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99
amino acid ranged between 0.597 ± 0.001 – 13.1±
0.450 g/100g.
All the essential amino acids were present in the
sample, with Isoleucine having the highest
concentration (6.20 ± 0.014 g/100g).
Table 6 shows the concentrations of total AA
(TAA), total essential AA (TEAA), total acidic AA
(TAAA), total neutral AA (TNAA), total sulphur AA
(TSAA), total aromatic AA (TArAA) and their
percentage values. The Leu/Ile ratios, their differences
and percentage differences are contained in Table 6.
Non- essential amino acids have the highest %
concentration (52.2) while TEAA total essential
amino acids had a % concentration of 47.8. The
content of TEAA of 43.1 g/100g crude protein was
close to the value for egg reference protein (56.6
g/100g cp) (Paul et al., 1976); comparably close to the
values reported for soya bean (44.4 g/100g cp)
(Altschul, 1958).
The TAA in the current report was 90.1 g/100g cp,
this value was comparably close to the values of
reported for the dehulled African yam bean (AYB)
(70.3 – 91.8 g/100g cp) (Adeyeye, 1997) but
comparably higher than the values reported for raw
and processed groundnut seeds (Adeyeye, 2010). The
content of TSAA (1.42 g/100g) was lower than the 5.8
g/100g cp recommended for infants
(FAO/WHO/UNU, 1985) The ArAA range suggested
for ideal infants protein (6.8 – 11.8 g/100g cp )
(FAO/WHO/UNU, 1985), the present report has its
value better than the minimum, i.e 8.96 g/100g cp.
The ArAA are the precursors of epinephrine and
thyroxin (Robinson, 1987). The % ratios of TEAA/
TAA in the sample was 47.8 % which was well above
39 % considered to be adequate for ideal protein food
for infants ; 26 % for children and 11 % for adults
(FAO/WHO/UNU, 1985). The TEAA/ TAA was
strongly comparable to that of egg (50 %)
(FAO/WHO, 1990), and 43.6 % reported for pigeon
pea flour (Oshodi et al., 1993).
Most animal protein are low in Cys and hence in
Cys in TSAA (Adeyeye and Adamu, 2005). In
contrast many vegetable proteins contain substantially
more Cys than Met. The reverse is the case in the
present in which the % Cys in TSAA was 42.0 %.
Information on the agronomic advantages of
increasing the concentration of sulphur-containing
amino acid in staple foods shows that Cys had
positive effects on mineral absorption, particularly
zinc (Mendoza, 2002).
The P-PER value (1.69) was higher than 1.21
(cowpea), close to (Salunkhe and Kadam, 1989); 1.62
(millet ogi) and 0.27 (sorghum ogi) (Oyarekua and
Eleyinmi, 2004). A common feature of sorghum and
maize is that the proteins of these grains contain a
relatively high proportion of leucine. It was therefore
suggested that an amino acid imbalance from excess
leucine might be a factor in the development of
pellagra (FAO, 1995). Clinical, biochemical and
pathological observations in experiments conducted in
humans and laboratory animals showed that high
leucine in the diet impairs the metabolism of
tryptophan and niacin and is responsible for niacin
deficiency in sorghum eaters (Ghafoorunissa and
Narasinga Rao, 1973). High leucine is also a factor
contributing to the pellagragenic properties of maize
(Belavady and Gopalan, 1969). These studies
suggested that the leucine/isoleucine balance is more
important than dietary excess of leucine alone in
regulating the metabolism of tryptophan and niacin
and hence the disease process. The present Leu/Ile
ratios were low in value. The pI value was 5.14. The
pI of any organic matter is important when the protein
isolate is to be prepared. The EAAI can be useful as a
rapid tool to evaluate food formulations for protein
quality. The EAAI for soy flour is 1.26 (Nielsen,
2002) which is better than the current result of 1.18.
Table 7 showed that Met had the lowest score with
a value of 0.26. to correct for the AA needs from the
sample, it becomes 100/26 or 3.85 times as much raw
sample protein to be taken (eaten) when they are the
sole source of protein in the diet (Bingham,1977). In
Table 8 two different scoring patterns were presented:
Scorea
= Essential amino acid scores based on
FAO/WHO (1973) scoring pattern, Scoreb
= Essential
amino acid scores based on requirements of pre-
school child (2-5 years)(FAO/WHO/UNU, 1985).
In both patterns Met + Cys had the lowest score
(limiting amino acid), with values 0.41 and 0.57. and
would need a correction of 100/41 or 2.44 according
to the essential amino acid scoring pattern 100/57 or
1.75 times as much raw sample protein to be taken
(eaten) when they are the sole protein in the diet
(Bingham, 1977).
International Journal of Scientific Research in Knowledge, 2(2), pp. 92-104, 2014
100
Table 7: Amino acid score of the Bridelia ferruginea stem
bark samples based on whole hen's egg amino acid
4. CONCLUSION
This study has revealed that the Bridelia ferruginea
back consumed in Ekiti State and other states in the
South-western part of Nigeria can contribute useful
amount of nutrients including amino acids to human
diet. Interestingly, the anti-nutritional content of the
sample was low, much lower than is obtainable in
most Nigerian vegetables. This implies that, its overall
nutritional value will not be affected. Indeed, this part
of the plant consumed largely by the rural populace in
Ekiti State is not inferior to the conventional popular
Nigerian vegetables. There is need, however, to
determine the vitamins and fatty acids present in the
sample. Understandably, nutrient loss is of great
concern during blanching and cooking of vegetables,
therefore there is need to study the effects of cooking
and processing procedures on nutrient availability of
the Bridelia ferruginea back sample. This will help to
adequately establish their importance in human
nutrition and provide basis for maximum utilization of
the plant’s part.
Table 8: Essential amino acid scores of the Bridelia ferruginea stem bark samples
Scorea = Essential amino acid scores based on FAO/WHO (1973) scoring pattern, Scoreb = Essential amino acid scores based on requirements of pre-school
child (2-5 years)(FAO/WHO/UNU, 1985)
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104
Adesina, Adeolu, J. is a Ph.D candidate in Food/ Analytical Chemistry of the Department of
Chemistry, Ekiti State University, Ado Ekiti, Nigeria. He received his first degree from
University of Ilorin, Kwara State, Nigeria 2001 awarded with Bachelor of Science in Pure
Chemistry. He obtained degree in Master of Science in Analytical Chemistry from University of
Ibadan, Nigeria in 2006. His current research focuses on Food chemistry and quality. To date, he
has published several scientific journal articles related to Food chemistry and quality evaluation
field.
Akomolafe Seun Funmilola is a Ph.D candidate in Food biochemistry and toxicology of the
Department of Biochemistry, Federal University of Technology, Akure, Nigeria. She received her
first degree from Ekiti State University, Ado Ekiti Nigeria. 2005 awarded with Bachelor of Science
in Biochemistry. She obtained degree in Master of Science in Biochemistry from University of
Ibadan, Nigeria in 2009. Her current research focuses on Food Biochemistry and quality. To date,
she has published several scientific articles related to food Biochemistry and toxicology field.