Content uploaded by Abhijit Mitra
Author content
All content in this area was uploaded by Abhijit Mitra on May 12, 2014
Content may be subject to copyright.
African Journal of Basic & Applied Sciences 1 (5-6): 96-104, 2009
ISSN 2079-2034
© IDOSI Publications, 2009
Correspoding Author: Abhijit Mitra, Department of Marine Science, University of Calcutta, 35 Ballygunge Circular Road,
Kolkata-700 019, India 96
Biochemical Composition of Marine Macroalgae
from Gangetic Delta at the Apex of Bay of Bengal
Kakoli Banerjee, Rajrupa Ghosh, Sumit Homechaudhuri and Abhijit Mitra
1 1 2 1
Department of Marine Science, University of Calcutta, 35 Ballygunge Circular Road, Kolkata-700 019, India
1
Department of Zoology, University of Calcutta, 35 Ballygunge Circular Road, Kolkata- 700 019, India
2
Abstract: Variations in protein, lipid, carbohydrate and astaxanthin content of Enteromorpha intestinalis,
Ulva lactuca and Catenella repens were documented over a 10 months period from September 2007 to June
2008. The macroalgal species were collected from six sampling stations of Indian Sundarbans, a Gangetic delta
at the apex of Bay of Bengal. On dry weight basis, the protein content varied from 4.15±0.02% (in Catenella
repens) at Lothian to 14.19±0.09% (in Catenella repens) at Frasergaunge. The lipid content was low and varied
from 0.07±0.02% (in Enteromorpha intestinalis) at Lothian to 1.06± 0.12% (in Ulva lactuca) at Gosaba. The level
of carbohydrate was very high compared to that of lipid and protein and varied from 21.65± 0.76% (in Catenella
repens) at Gosaba to 57.03± 1.63% (in Enteromorpha intestinalis) at Lothian. Astaxanthin values ranged from
97.73± 0.32 ppm (in Catenella repens) at Gosaba to 186.11± 2.72 ppm (in Enteromorpha intestinalis) at
Frasergaunge. The values varied over a narrow range in the remaining stations. The results of biochemical
composition of macroalgae seem to be strongly influenced by ambient hydrological parameters (surface water
salinity, temperature and nitrate content) in the present geographical locale.
Key words: Marine macroalgae % Biochemical composition % Indian Sundarbans
INTRODUCTION Far East, where they are used in the food industry [7].
Macroalgal resources of the oceans and estuaries arevariety of essential amino acids has been recorded in
found attached to the rocks, corals and other submergedEnteromorpha intestinalis. It also has a good capacity for
strata in the intertidal and shallow subtidal zones. Theyfermentation, which is shown by methanisation tests [17].
are clearly sighted during low tide condition on theMoreira-da-Silva et al., [18] studied the possibility of
pneumatophores and trunks of mangroves. In marineusing marine macrophytes as a substrate for biogas
ecosystems, macroalgae are ecologically and biologicallygeneration. Special research attention has been given to
important and provide nutrition and an accommodatingEnteromorpha intestinalis and Ulva lactuca as a source
environment for other living organisms [1-6]. Because ofof methane generation through anaerobic digestion, the
these properties, macroalgae are considered as one of thetime involved in gas production and the possibility of
most important biotic components maintaining theusing the depleted biomass as a fertilizer for
ecosystem’s stability [7]. phytoplankton cultures. Finally, the possibility of using
The industrial applications of macroalgae are alsoalgae for other energetic options has been analyzed and
varied. Their polysaccharides are used in food, cosmetics, their potential was compared with that of the water
paint, crop, textile, paper, rubber and building industries.hyacinth Eichornia crassipes [19]. The dominancy of
In addition, they are used in medicine and inEnteromorpha spp. in areas of high sewage pollution
pharmacology for their antimicrobial, antiviral, antitumor, speaks in favour of utilizing this macroalgae as agent of
anticoagulant and brinolytic properties [8-10, 1, 11-16].bioremediation.
According to FAO, the annual global aquacultureMacroalgae are unique sources of protein although
production of marine algae is 6.5 × 10 tonnes [1].the content varies with the types. Protein content of
6
Macroalgae have been harvested since long period in thebrown seaweeds are generally small (average: 5-15% of
Regarding the economic importance of macroalgae, a wide
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
97
dry weight), whereas, higher protein content are recordedMATERIALS AND METHODS
in green and red seaweeds (average: 10-30% of dry
weight). The protein levels of Ulva and Enteromorpha Macroalgal Collection: Each species of the macroalgae
spp. generally range between 5-20% of dry weight.(Enteromorpha intestinalis, Ulva lactuca and Catenella
Because of their high protein content, proteinrepens) distributed throughout the entire stretch of Indian
concentrates (PCs) of seaweeds have become moreSundarbans (within the latitude 21°30N to 22°30N and
important for the food industry, especially in developedlongitude 87°25E to 89°10E) were collected at monthly
countries [20]. The recent utilization of macroalgae as aintervals during September 2007 to June 2008, from six
fish feed is also gaining momentum. different sampling sites namely Stn. 1, Gosaba
Lipids represent only 1-5% of algal dry matter and(22°08'53.66''N; 88°56'34.20''E), Stn.2, Chotomollakhali
exhibit an interesting polyunsaturated fatty acid(22°10'21.74''N; 88°53'55.18''E), Stn.3, Bali (22°04'35.17''N;
composition particularly omega 3 and omega 6 acids88°44'55.70''E), Stn.4, Bony Camp (21°54'34.56''N;
which play an important role in the prevention of cardio88°35'42.13''E), Stn.5, Lothian (21°42'45.73''N;
vascular diseases, osteoarthritis and diabetes. The red88°18'12.82''E) and Stn.6, Frasergaunge (21°36'55.72''N;
and brown algae are rich in fatty acids with 20 carbon88°12'33.15''E) (Figure 1). The algal samples on block
atoms: cicosapentanoic acid (EPA, T3 C 20:5) andjetties and hard substrata (like boulder, mangrove trunk
arachidonic acid (AA, T6 C 20:4). etc) were hand-picked from shallow littoral water; washed
Astaxanthin is a naturally occurring carotenoidin the field with ambient seawater to remove epiphytes,
pigment with unique antioxidant property, which issediments and organic matter; rinsed with distilled water,
present in both micro and macroalgae. It is an importantdried with tissue paper and brought to the laboratory to
feed ingredient both in pisciculture and animal husbandry store at -20°C.
sector owing to its wide application as an antioxidant.
Enteromorpha intestinalis, Ulva lactuca andAnalytical Methods: The collected species were subjected
Catenella repens are the dominant macroalgae found into biochemical analysis as per the standard protocol.
Indian Sundarbans (a World Heritage Site and aFor each species, triplicate analyses were averaged for
Biosphere Reserve), which is a Gangetic delta in the north each of the samples for soluble carbohydrate, total
east coast of Indian Sub-continent. In the intertidal zoneprotein, total lipid and astaxanthin. The total carbohydrate
of this mangrove dominated ecosystem, a distinctcontent was assayed by the phenol-sulphuric acid
zonation is often visualized with respect to distributionmethod [22] after extraction with 2.5N HCl. The results
pattern of seaweeds. The members of Chlorophyceaewere calculated from a glucose standard curve. Total lipid
(Enteromorpha intestinalis and Ulva lactuca) occupywas determined by Soxhlet method as described by
higher level in comparison to Catenella repensFolch et al., [23]. The total protein content was
(belonging to Rhodophyceae) when the section of vertical determined with Folin reagent with bovine albumin
zonation on a substratum is considered. Despite theserving as standard [24]. Astaxanthin was analyzed by
abundance of macroalgae in the mangrove dominatedstandard spectrophotometric method after organic solvent
Gangetic delta, literature on this community is meager.extraction with appropriate dilution and expressed in ppm
Very few studies have been undertaken to document theunit [25]. Lipid, protein and carbohydrate contents were
role of Enteromorpha spp. and Ulva lactuca as primaryexpressed as the percentage dry weight. The results are
producers in Sundarbans ecosystem [21], but no studygiven as a mean with standard deviation (±SD) as quality
has yet been undertaken on the ecology and biochemicalassurance to the data.
characteristics of macroalgae in this part of Indian sub-Surface water were collected simultaneously from all
continent. the six sampling sites to monitor salinity, temperature and
The main objective of the present study was tonitrate of the ambient water as per the method of
determine the nutritional value of EnteromorphaStrickland and Parsons [26] to pinpoint the hydrological
intestinalis, Ulva lactuca and Catenella repens by parameters to which the vegetation are exposed in natural
analyzing their biochemical composition (protein, lipid,condition.
carbohydrate and astaxanthin). Another aim of the
study was to determine the spatial variation of theStatistical analysis: Mean values of each biochemical
biochemical components of these three commonlycomponent was subjected to one-way ANOVA followed
available macroalgae with respect to relevant hydrological by Duncan’s multiple range test at p<0.05 [27] to detect
parameters. significant differences among groups (selected species).
' '
' '
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
98
Fig. 1: The Gangetic Delta and The Indian Sundarbans (map showing sampling stations)
RESULTS AND DISCUSSION The major biochemical component in the selected
The average lipid, protein, carbohydrate andcarbohydrate in rhodophytes, Catenella repens (overall
astaxanthin values of Enteromorpha intestinalis, Ulvamean 27.16%±4.06% of dry weight; range 21.65± 0.76 to
lactuca and Catenella repens are presented in Tables 1,33.67± 0.87% of dry weight) (Table 3) was lower than the
2 and 3. chlorophytes (mean 45.32± 8.30% of dry weight;
seaweeds was carbohydrate. The percentage of soluble
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
99
Table 1: The mean (±SD) contents of lipid, protein, carbohydrate and astaxanthin in Enteromorpha intestinalis from Indian Sundarbans during September
'07 – June '08
Stations Protein (% of dry weight) Lipid (% of dry weight) Carbohydrate (% of dry weight) Astaxanthin (ppm of dry weight)
Frasergaunge 13.84±0.17 0.09±0.02 52.09±0.84 186.11±2.72
acd ba
Lothian 5.18±0.52 0.07±0.02 57.03±1.63 185.40±1.83
fda a
Bony Camp 9.57±0.61 0.24±0.02 42.36±1.22 135.81±1.85
d b d c
Gosaba 12.79±0.03 0.30±0.01 33.53±0.03 112.72±0.83
bafe
Bali 7.48±0.03 0.11±0.01 48.40±0.45 145.60±1.17
e c c b
Chotomollakhali 11.37±0.03 0.22±0.01 38.51±0.62 131.78±1.53
cbed
means in a whole column with different superscripts (a-f) are significantly different (p<0.05, Duncan multiple range test).
*
Table 2: The mean (±SD) contents of lipid, protein, carbohydrate and astaxanthin in Ulva lactuca from Indian Sundarbans during September '07 – June '08*
Stations Protein (% of dry weight) Lipid (% of dry weight) Carbohydrate (% of dry weight) Astaxanthin (ppm of dry weight)
Frasergaunge 11.64±0.22 0.38±0.15 45.83±1.61 142.65±3.0
acd b b
Lothian 6.92±0.04 0.28±0.03 48.34±1.00 150.68±2.12
fda a
Bony Camp 8.30±0.32 0.74±0.06 43.83±1.96 125.46±2.08
dbcd
Gosaba 10.98±0.04 1.06±0.12 24.33±0.08 102.40±0.35
ba e f
Bali 7.88±0.01 0.49±0.01 42.04±0.15 130.18±0.90
e c c c
Chotomollakhali 9.78±0.02 0.68±0.03 38.67±0.17 115.67±0.12
cb d e
*means in a whole column with different superscripts (a-f) are significantly different (p<0.05, Duncan multiple range test)
Table 3: The mean (±SD) contents of lipid, protein, carbohydrate and astaxanthin in Catenella repens from Indian Sundarbans during September '07 – June
'08
Stations Protein (% of dry weight) Lipid (% of dry weight) Carbohydrate (% of dry weight) Astaxanthin ( ppm of dry weight)
Frasergaunge 14.19±0.09 0.14±0.02 33.67±0.87 181.99±3.54
a c a a
Lothian 4.15±0.02 0.17±0.02 26.43±0.88 105.29±0.07
ebc cd
Bony Camp 10.25±0.15 0.25±0.02 28.60±0.18 135.49±2.12
dab b
Gosaba 12.18±0.24 0.20±0.02 21.65±0.76 97.73±0.32
b b e e
Bali 4.58±0.03 0.19±0.02 29.04±0.13 180.44±1.09
eb b a
Chotomollakhali 11.47±0.59 0.21±0.04 23.55±0.54 128.65±0.78
cab dc
*means in a whole column with different superscripts (a-f) are significantly different (p<0.05, Duncan multiple range test)
Table 4: Physico-chemical variables of aquatic environment of six selected stations during September '07 – June '08
Stations Salinity (°/ )Temperature (°C) Nitrate (µgat/l)
00
Frasergaunge 25.0 34.0 23.84
a a a
Lothian 22.3 35.0 13.84
a a f
Bony Camp 21.3 32.0 16.84
a a d
Gosaba 16.3 31.3 21.69
a a b
Bali 19.7 33.0 15.02
a a e
Chotomollakhali 17.0 32.7 19.53
a a c
*means in a whole column with different superscripts (a-f) are significantly different (p<0.05, Duncan multiple range test).
range 33.53± 0.03 to 57.03± 1.63% of dry weight inweight, range 6.92± 0.04 to 11.64± 0.22% of dry weight)
Enteromorpha intestinalis and mean 40.51± 8.12% of dry (Tables 2 and 3).
weight; range 24.33± 0.08 to 48.34± 1.00% of dry weight inThe lipid content was highest in Ulva lactuca
Ulva lactuca) (Tables 1 and 2). (mean 0.61± 0.27% of dry weight; range 0.28± 0.03 to
The highest percentage of protein was recorded in1.06± 0.12% of dry weight) (Table 2), followed by
Enteromorpha intestinalis (mean 10.04± 3.10% of dryEnteromorpha intestinalis (mean 0.17± 0.09% of dry
weight; range 5.18± 0.52 to 13.84± 0.17% of dry weight)weight; range 0.07± 0.02 to 0.30± 0.01% of dry weight)
(Table 1) followed by Catenella repens (mean 9.47± 3.91%(Table 1) and Catenella repens (mean 0.19± 0.04% of dry
of dry weight; range 4.15± 0.02 to 14.19± 0.09% of dryweight; range 0.14± 0.02 to 0.25± 0.02% of dry weight)
weight) and Ulva lactuca (mean 9.25± 1.75% of dry(Table 3).
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
100
Astaxanthin value was highest in Enteromorphap<0.01] statistically confirm our observation. The direct
intestinalis (mean 149.57± 28.21 ppm of dry weight; range relationship of protein percentage in seaweeds with
112.72± 0.83 to 186.11± 2.72 ppm of dry weight) (Table 1).nitrate of the ambient water was reported by several
The next position was occupied by Catenella repensworkers [30, 31]. Frasergaunge being a sewage
(mean 138.27± 33.96 ppm of dry weight; range 97.73± 0.32contaminated zone (due to presence of fish landing
to 181.99± 3.54 ppm of dry weight) (Table 3) followed by station and tourism units) showed maximum nitrate level
Ulva lactuca (mean 127.84± 16.59 ppm of dry weight;in the water and subsequently highest percentage of
range 102.40± 0.35 to 150.68± 2.12 ppm of dry weight)protein in the macroalgae.
(Table 2). Significant variations in carbohydrate content in the
The average surface water salinity of the samplingseaweeds at the different sampling stations were
stations varied as per the order Frasergaunge (25.0 °/ ) >observed throughout the study period. Carbohydrate is
00
Lothian (22.3°/ ) > Bony Camp (21.3°/ ) > Bali (19.7°/ )the most important component for metabolism as it
00 00 00
> Chotomollakhali (17.0°/ ) > Gosaba (16.3°/ ). Thesupplies the energy needed for respiration and other
00 00
surface water temperature ranged from 31.3°C to 35.0°Cmetabolic processes. Maximum carbohydrate values were
and nitrate content varied from13.84 µgat/l to 23.84 µgat/l observed in stations with high salinity and located in the
(Table 4). The spatial variation of nitrate was significantvicinity of Bay of Bengal. The study area at the apex of
(p<0.05), which may be attributed to the distance of these Bay of Bengal enjoys bright sunshine and high tropical
stations from Bay of Bengal in the south or proximity oftemperature almost through the year. This may be a
these stations to the highly urbanized and industrializedreason behind higher carbohydrate value in the seaweeds.
city of Kolkata in the North. The local activities like fishThe significant positive relationships between ambient
landing, shrimp culture etc. also cause substantialwater temperature and carbohydrate content of the
difference between the stations in terms of nitrate load. seaweeds [r = 0.937, p<0.01; r
Data of protein content in macroalgae from the = 0.795, p<0.01; r
= 0.489, p<0.05] confirm the view of synthesis of
show lower concentrations [28, 29]. This is because oforganic carbon (through photosynthesis) under optimum
predominantly oligotrophic marine environment with low solar radiation and temperature.
availability of nitrogen as visualized in case of BrazilianIn comparison to protein and carbohydrate, lipid
marine environment [30, 31]. In the present study, our data exhibited very low proportion in Enteromorpha
of protein concentration in macroalgae are in accordanceintestinalis, Ulva lactuca and Catenella repens.
with the information available in the literature [32-35, 17, Significant variation in lipid percentage was observed
36, 37]. In Enteromorpha intestinalis minimum proteinbetween the stations (Table 1, 2 and 3). The mangrove
was found at Lothian (5.18± 0.52% of dry weight) and the dominated Gangetic delta enjoys a tropical climate and
maximum at Frasergaunge (13.84± 0.17% of dry weight). therefore temperature plays a major role in the variation of
Same trend was also observed for Ulva lactuca (minimum the lipid content in macroalgae. Significant negative
at Lothian i.e. 6.92± 0.04% of dry weight and maximum at correlation between lipid content and water temperature
Frasergaunge i.e. 11.64± 0.22% of dry weight) andhas also been observed in our study for all the three
Catenella repens (minimum at Lothian i.e. 4.15± 02% ofselected macroalgae [r = - 0.929,
dry weight and maximum at Frasergaunge i.e. 14.19± 0.09%p<0.01; r = - 0.952, p<0.01; r
= - 0.693, p<0.01]. This observation is in
different species of macroalgae with respect to stationsalignment with the works of Jones and Harwood [38] who
are given in Figures 2 and 3. The significant spatialconcluded that temperature increases the level of
variation in the protein level of the selected species wasunsaturation of acyl chains that slows down both
confirmed by Duncan multiple range test at 5% level ofmetabolism and transport of lipid.
significance, which may be attributed to the difference inAstaxanthin is a powerful antioxidant. A lot of
nutrient level (preferably nitrate) of the ambient aquaticstudies demonstrated the antioxidant properties of algal
phase (Table 4). The significant positive correlationcarotenoids and the role they play in preventing many
between nitrate level and protein content of three selected diseases linked to oxidative stress [39, 40]. The synthesis
macroalgae [r = 0.976, p<0.01; r of astaxanthin enhances with the increase in
nitrate x protein (Enteromorpha sp.) nitrate x
= 0.995, p<0.01; r = 0.941,environmental stresses as revealed through a study in
protein (Ulva sp.) nitrate x protein (Catenella sp.)
temperature x carbohydrate (Enteromorpha sp.)
temperature x carbohydrate (Ulva sp.) temperature x carbohydrate
tropical and subtropical coastal environment frequently(Catenella sp.)
temperature x lipid (Enteromorpha sp.)
temperature x lipid (Ulva sp.) temperature x lipid
of dry weight). Differences in the protein level of the three (Catenella sp.)
AJBAS
101
0
5
10
15
20
25
30
35
40
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(a)
0
5
10
15
20
25
30
35
40
45
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(b)
0
10
20
30
40
50
60
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(c)
0
5
10
15
20
25
30
35
40
45
50
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(d)
AJBAS
102
0
20
40
60
80
100
120
140
160
180
200
Frasergaunge
Lothian
Bony Camp
Gosaba
Bali
Chhotomollakhali
ppm of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
0
10
20
30
40
50
60
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(e)
0
10
20
30
40
50
60
protein lipid carbohydrate
% of dry weight
Enteromorpha intestinalis
Ulva lactuca
Catenella repens
(f)
Fig. 2: Variation in protein, lipid and carbohydrate contents (% of dry weight) at (a) Gosaba (b) Chotomollakhali
(c) Bali (d) Bony Camp (e) Lothian (f) Frasergaunge
Fig. 3: Variation in astaxanthin contents (ppm of dry weight) in six stations
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
103
mangroves by Mitra et al., [41]. In the present study, the5. Wahbeh, M.I., 1997. Amino acid and fatty acid
astaxanthin load showed significant spatial variationprofiles of four species of macroalgae from Aqaba
(p<0.05) with respect to all the three macroalgae (Tablesand their suitability for use in fish diets. Aquaculture,
1, 2, 3 and Figure 3), which may be due to variation in159: 101-09.
salinity amongst the selected stations. The significant6. Wilson, S., 2002. Nutritional value of detritus and
positive correlation between salinity and astaxanthin level algae in blenny territories on the Great Barrier Reef. J.
in the selected macroalgal species [r Exp. Mar. Biol. Ecol., 271: 155-69.
salinity x astaxanthin (Enteromorpha
= 0.886, p<0.01; r = 0.874, p<0.01; 7. Dere, S., N. Dalkiran, D. Karacaoglu, G. Yildiz and E.
sp.) salinity x astaxanthin (Ulva sp.)
r = 0.513, p<0.05] speaks in favour of Dere, 2003. The determination of total protein, total
salinity x astaxanthin (Catenella sp.)
astaxanthin synthesis under stressful condition, posed bysoluble carbohydrate and pigment contents of some
high aquatic salinity. macroalgae collected from Gemlik-Karacaali (Bursa)
CONCLUSION Turkey. Oceanologia, 45(3): 453-461.
The study revealed the members of chlorophyceae as Biochem Biotechnol., 26(1): 85-05.
the most nutritionally rich species in terms of9. Chengkui, Z., C.K. Tseng, Z. Junfu and C.F. Chang,
carbohydrate, protein, lipid and astaxanthin content.1984. Chinese seaweeds in herbal medicine.
The Gangetic delta is unique in terms of hydrologicalHydrobiologia, 116/117: 152-55.
parameters and several categories of anthropogenic10. Fenical, W. and V.J. Paul, 1984. Antimicrobial and
activities that often influence the water quality. Thecytotoxic terpenoids from tropical green algae of the
physico-chemical variables of ambient aquatic phase have family Udoteaceae. Hydrobiologia, 116/117: 135-40.
profound influence on biochemical constituents of the11. Fleurence, J., E. Chenard and M. Lucon, 1999.
macroalgae. Determination of the nutritional value of proteins
ACKNOWLEDGEMENTS 11: 231-39.
This research was supported financially byAnticoagulant, fibrinolitic and antiaggregant
Department of Science and Technology, WOS-B scheme, activity of carrageenans and alginic acid. Bot. Mar.,
Government of India and infrastructural facilities by34: 429-32.
Department of Marine Science and Department of13. Honya, M., T. Kinoshita, K. Tashima, K. Nisizawa
Zoology, University of Calcutta. and H. Noda, 1994. Modification of the M/G ratio of
REFERENCES cultured in deep seawater. Bot. Mar., 37: 463-66.
1. Fleurence, J., 1999. Seaweed proteins: biochemical,relationships to characterise gelling carrageenans.
nutritional and potential uses. Trends Food Sci.Hydrobiologia, 260/261: 583-88.
Technol., 10: 25-28. 15. Round, F.E., 1973. The biology of the algae,
2. Foster, G.G. and A.N. Hodgson, 1998. Consumption(2nd edn.). Edry weightard Arnold Ltd., London.
and apparent dry matter digestibility of sixpp: 278.
intertidal macroalgae by Turbo sarmaticus16. Vreeland, V., E. Zablackis, B. Doboszewski and
(Mollusca: Vetigastropoda: Turbinidae).W. Laetsch, 1987. Molecular markers for marine algal
Aquaculture, 167: 211-27. polysaccharides. Hydrobiologia, 151/152: 155-60.
3. Lindsey Zemke-White, W. and K.D. Clements, 1999. 17. Sauze, F., 1981. Chemical and energetic potential of
Chlorophyte and Rhodophyte starches as factors inaquatic biomass. Tech. Eau. Assain., 413: 7-23.
diet choice by marine herbivorous fish. J. Exp. Marine 18. Moreira-Da-Silva, P.C., D. Bastos-Netto, A. Costa-
Biol. Ecol., 240: 137-49. Muniz and Y. Nobre-Barros, 1982. Algae: Energetic
4. Mcclanahan, T.R., B.A. Cokos and E. Sala, 2002.utilization in Brazil. Pub. Inst. Pesqi. Mar., 146: 8-17.
Algal growth and species composition under19. Haroon, A.M., A. Szaniawska, M. Normant and
experimental control of herbivory, phosphorus andU. Janas, 2000. The biochemical composition of
coral abundance in Glovers Reef, Belize. Marine Poll Enteromorpha spp. from the Gulf of Gdañsk coast on
Bull., 44: 441-51. the southern Baltic Sea. Oceanologia, 42(1): 19-28.
and Erdek-Ormanli (Balikesir) in the Sea of Marmara
8. Cannell, R.J.P., 1990. Algal biotechnology. Appl
obtained from Ulva armoricana. J. Appl Phycol.,
12. Guven, K.C., Y. Ozsoy and O.N. Ulutin, 1991.
alginic acid from Laminaria japonica areschong
14. Parker, A., 1993. Using elasticity/temperature
African J. of Basic & Appl. Sci., 1 (5-6): 96-104, 2009
104
20. Wong, K.H. and P.C.K. Cheung, 2001. Nutritional31. Ovalle, A.R.C, C.E. Rezende, C.E.V. Carvalho,
evaluation of some subtropical red and greenT.C. Jennerjahn and V. Ittekkot, 1999. Biogeochemical
seaweeds part II. In vitro protein digestibility andcharacteristics of coastal waters adjacent to small
amino acid profiles of protein concentrate. Foodriver-mangrove systems, East Brazil. Geo-Marine
Chem., 72: 11-7. Letters, 19: 179-85.
21. Chaudhuri, A.B. and A. Choudhury, 1994. In:32. Mcdermid, K.J. and B. Stuercke, 2003. Nutritional
Mangroves of the Sundarbans. Vol.1: India, IUCN,composition of edible Hawaiian seaweeds. J. Appl.
Bangkok, Thailand. Phycol., 15: 513-524.
22. Dubois, M., K.A. Gilles, J.K. Hamilton, P.A. Rebers33. Munda, I.M. and F. Gubensek, 1976. The amino acid
and F. Smith, 1956. Colorimetric methods forcomposition of some common marine algae from
determination of sugars and related substances.Iceland. Bot. Mar., 19: 85-92.
Anal Chem., 28: 350-356. 34. Munda, I.M. and F. Gubensek, 1986. The amino acid
23. Folch, J., M. Lees and G.H. Solam-Stanley, 1957. composition of some benthic marine algae from the
A simple method for the isolation andNorthern Adriatic. Bot. Mar., 29: 367-372.
purification of claot lipid from animal tissue. J.35. Owens, N.J.P. and W.D. Stewart, 1983.
Biol. Chem.., 226: 497-509. Enteromorpha and the cycling of nitrogen in a small
24. Lowry, O.H., A.L. Farr, R.J. Randall and estuary. Estuar Coast Shelf Sci., 17(3): 287-296.
N.J. Rosebrough, 1951. Protein measurement with36. Tkachenko, F.P. and V.T. Koval, 1990. Biochemical
Folin phenol reagent. J. Biol. Chem.., 193: 265-275. composition of abundant benthic seaweeds of the
25. Schuep, W. and J. Schierle, 1995. AstaxanthinBlack Sea. Hydrobiologia, 26(6): 39-43.
determination of stabilized, added astaxanthin in37. Wheeler, P.A. and B.R. Bjornsater, 1992. Seasonal
fish feeds and premixes. In: Carotenoids isolationfluctuations in tissue nitrogen, phosphorus and N:P
and analysis. Vol. 1A, Birkhauser Verbag Basel.,for five macroalgal species common in the Pacific
pp: 273-276. Northwest coast. J. Phycol., 28: 1-6.
26. Strickland, J.D.H. and T.R. Parsons, 1972. A practical 38. Jones, A.L. and J.L. Harwood, 1993. Lipids and lipid
handbook of seawater analysis. 2 (Ed.). J. Fish. Res. metabolism in the marine alga Enteromorpha
nd
Board Can., 167: 1-310. intestinalis. Phytochemistry, 34(4): 969-972.
27. SPSS, 1999. Inc., SPSS Base 9.0 Application Guide. 39. Okuzumi., J., T. Takahashi, T. Yamane, Y. Kitao,
®
SPSS Inc., Chicago. M. Inagake, K. Ohya, H. Nishino and Y. Tanaka,
28. Kaehler, S. and R. Kennish, 1996. Summer and winter1993. Inhibitory effects of fucoxanthin, a
comparisons in the nutritional value of marinenatural carotenoid, on N-ethyl- N'-nitro-N-
macroalgae from Hong Kong. Bot. Mar., 39: 11-17. nitrosoguanidineinduced mouse duodenal
29. Wong, K.H. and P.C.K. Cheung, 2000. Nutritionalcarcinogenesis. Cancer Letters, 68: 159-68.
evaluation of some subtropical red and green40. Yan, X., Y. Chuda, M. Suzuki and T. Nagata,
seaweeds part I-proximate composition, amino acid1999. Fucoxanthin as the major antioxidant in
profiles and some physico-chemical properties. Food Hijikia fusiformis, common edible seaweed. Biosci
Chem., 71: 475-482. Biotechnol. Biochem., 63: 605-607.
30. Oliveira, E.C., T.N. Corbisier, Eston, V.R. De and 41. Mitra, A., S. Basu, K. Banerjee and A. Banerjee, 2006.
O. Ambrosio, 1997. Phenology of a seagrassImpact of tidal submergence on astaxanthin content
(Halodule wrightii) bed on the southeast coast ofof mangroves. Ultra science, 18(2): 117-122.
Brazil. Aquatic Botany, 56: 25-33.