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Research Article
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Studies on Physico-Chemical and Microbiological Parameters of Water Samples Before and After Jute Retting
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Biswapriya Das,
Sudipta Tripathi,
Ashis Chakraborty
and
Kalyan Chakrabarti
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ABSTRACT
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The aim of the research was to study the effect of jute retting on various physico-chemical and microbiological parameters of retting water and water samples were collected before and after retting, from three well-known jute growing areas of N-24 Parganas viz., Sonatikari, Baduria and Swarupnagar, West Bengal, India. Standard methods were applied to determine pH, Ec, Chemical Oxygen Demand (COD), hardness, Calcium (Ca), Magnesium (Mg), bicarbonate, chloride content, bacterial, fungal, pectinolytic and spore forming bacterial colony forming units. Irrespective of the locations, the pH of the post-retting water samples was more acidic than the pre-retting water samples. Other physico-chemical parameters like Ec, COD, hardness and metal contents increased in the post-retting water samples. The post-retting water samples also registered higher bacterial, fungal, pectinolytic and spore forming bacterial colony forming units. |
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| Received:
February 22, 2011; Accepted: May 09, 2011;
Published: June 25, 2011 |
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INTRODUCTION
Jute (Corchorus sp.) is a very important fibre and cash crop (Talukder
et al., 2001; Ali et al., 2002). Almost
85% of the world's jute cultivation is concentrated in the Gangetic delta of
Bangladesh and India. The total area under jute cultivation in India varies
between 6.38 lakh hectares and 10 lakh hectares which is the highest in the
world. The districts of Nadia, Murshidabad, Cooch Bihar, West Dinajpur, Jalpaiguri,
North 24-Pargana, Hoogly and Malda in West Bengal account for 71% of area under
jute cultivation in India and 73.09% of total raw jute production in the country
(Roul, 2009). The highest concentration occurs in the Baduria
and adjoining region in the north-east of the North-24 Parganas district at
present.
Jute fibre is obtained through the process of retting, which is essentially
a microbiological and biochemical process (Haque et al.,
2001a). The jute bundles are steeped in water and subjected to controlled
decomposition of biopolymers such as pectins, celluloses, and hemicelluloses
that hold the bast cells to the rest of the stem (Haque et
al., 2001b). Biological retting is the cheapest and a universally practiced
method for the commercial extraction of jute fibre (Munshi
and Chattoo, 2008).
Retting and fibre extraction problems are complex and multi-disciplinary in
nature. Retting does not produce any toxic substances and the materials released
during the process are fully biodegradable. However, the quality of water after
jute retting becomes degraded transitorily. The microbial load increases excessively
and the water become discoloured. Environmental aspect, therefore, should form
important component of retting studies. However, there is inadequate data on
the subject. A systematic study can therefore be helpful to respond to question
on this aspect of retting which is likely to increase due to the growing environment
consciousness (Shams-ul-Haque et al., 2002).
The quality of jute fibre depends on jute retting processes (Shams-ul-Haque
et al., 2001) and the availability of suitable water bodies for retting.
In water based jute retting, the quality and quantity of microorganisms present
in water, several physico-chemical properties of water like pH, hardness and
metal contents play important role for obtaining good quality fibre (Adhikary
et al., 2005). Thus, knowledge and understanding of above parameters
of retting water will help in identifying the conditions of retting process
and thereby taking measures to improve fibre quality. Furthermore, after retting
many of the ponds are also used for pisciculture (Mondal and
Kaviraj, 2008). It is, therefore, necessary to determine the quality of
the post- retting water and the contamination caused by retting. But very few
reports are available in this respect.
This study was conducted with the objective to assess the water quality, as determined by several physico-chemical and microbiological parameters, during the retting process of jute. MATERIALS AND METHODS
Sample collection: The jute retting water samples were collected in
the year 2007 from three widely cultivated jute growing areas of N-24 Parganas,
viz. Sonatikari (22° 41'27"N, 88° 35'44"E), Baduria (22° 44' 24"
N, 88° 47' 24" E) and Swarupnagar (22° 49' 59.88" N, 88° 52' 0.12"
E) (http://en.wikipedia.org/wiki/)
before and after jute retting. In each location water samples were collected
from six randomly selected ponds. For each pond three replicated water samples
were collected at evenly spaced locations and at close proximity to the submerged
mat of jute bundles during retting. The samples were then immediately placed
on ice for transport to the laboratory, and preserved at 4°C. The temperature
of the retting ponds during the time when water samples were collected ranged
from 32-34°C. Microbiological analyses were carried out within 3 to 4 days.
Analytical procedures: The pH of the water samples was determined with
the help of Systronics pH meter (Model No. LI120) and Ec of the water samples
was measured with the help of Elico Conductivity meter (Model No. CM180). The
COD (Pitwell, 1983), total hardness, Ca+2,
Mg+2, bicarbonate and chloride contents (Singh et
al., 1999) of the water samples were determined. Enumeration of bacterial,
fungal and pectinolytic microbial populations of water samples was done by the
dilution plate technique using Luria agar (Himedia) for bacteria, Rose Bengal
agar base (Himedia) for fungi and yeast extract-pectate medium (yeast extract
1%, pectin 1%, NaCl 0.5%, pH 7.0) for pectinolytic microorganisms. The spore
forming bacterial count (Black, 1965) was determined in
0.01% peptone agar medium.
Statistical analysis: Statistical analyses were performed using SPSS 11.0 for Windows (SPSS Inc., USA). The data were analyzed as a single factor ANOVA in a completely randomized block design Comparison of means was done using Duncans Multiple Range Test (DMRT) at 5% probability level of statistical significance. RESULTS
The pH of the water samples varied from 7.05 to 7.20, 7.08 to 7.38 and 7.18
to 7.36 at pre-retting period in Sonatikari, Baduria and Swarupnagar, respectively.
The same values for post-retting period varied from 5.95 to 6.60, 6.63 to 6.95
and 6.15 to 6.94 in Sonatikari, Baduria and Swarupnagar, respectively (Table
1). At the post-retting stage the water samples from Baduria recorded the
highest mean pH (6.80) and the lowest in Sonatikari (6.39). The Ec of the pond
waters varied from 0.159 to 0.303, 0.156 to 0.223 and 0.161 to 0.251 dS m-1
at pre-retting and 0.501 to 0.993, 0.421 to 1.146 and 0.523 to 1.023 dS m-1
at post-retting period in Sonatikari, Baduria and Swarupnagar, respectively
with statistical differences between the ponds (Table 1).
The mean Ec values of the pre-retting water samples increased at the post-retting
period from 0.23 to 0.76 dS m-1 in Sonatikari, 0.19 to 0.68 dS m-1
in Baduria and 0.21 to 0.70 dS m-1 in Swarupnagar. Irrespective of
the sites, the COD of the pond waters varied between 35 and 45 mg L-1
at the pre-retting period. At the post-retting period the highest mean COD was
observed in Sonatikari (218 mg L-1, range 204 to 224 mg L-1)
and lowest was in Baduria (194 mg L-1, range 163 to 221 mg L-1).
The COD of post-retting water samples from Swarupnagar ranged between 185 and
234 mg L-1 with a mean value of 211 mg L-1 (Table
1). The hardness of the water samples varied from 64 to 82 (mean 74 ppm),
72 to 88 (mean 80 ppm) and 68 to 80 ppm (mean 74 ppm) at the pre-retting period
and 130 to 310 (mean 233 ppm), 112 to 272 (mean 200 ppm) and 138 to 262 ppm
(mean 216 ppm) at the post-retting period in Sonatikari, Baduria and Swarupnagar,
respectively (Table 1).
The Ca, Mg, bicarbonate and chloride contents of pre and post-retting water samples from Sonatikari, Baduria and Swarupnagar did not vary significantly (Table 2). All of these parameters increased at the post-retting period. Swarupnagar recorded the highest mean Ca content (69 ppm, range 62 to 74 ppm) and the lowest in Baduria (60 ppm, range 43 to 69 ppm) at the post-retting period. The mean Mg content of the pre-retting waters increased at the post-retting stage from 8 to 16, 8 to 23 and 8 to 23 ppm in Sonatikari, Baduria and Swarupnagar, respectively (Table 2). Regarding the bicarbonate content, Sonatikari recorded the highest mean value (7.77 me L-1, range 6.6 to 9.4 me L-1) and the lowest in Baduria (mean 6.87 me L-1, range 4.8 to 8.8 me L-1) at the post-retting stage. The chloride content of the post-retting water samples varied from 5.2 to 8.0 (mean 6.8 me L-1), 4.0 to 5.6 (mean 5.13 me L-1) and 5.2 to 6.8 me L-1 (mean 5.8 me L-1) in Sonatikari, Baduria and Swarupnagar, respectively (Table 2).
The bacterial log cfu of pre-retting water samples varied from 4.22 to 4.35
(mean 4.29) in Sonatikari, 4.20 to 4.55 (mean 4.35) in Baduria and 4.29 to 4.47
(mean 4.38) in Swarupnagar (Table 3). The highest mean bacterial
cfu at the post-retting period could be detected in Sonatikari (6.65, range
6.22 to 6.93) and the lowest in Swarupnagar (6.37, range 6.20 to 6.57). The
bacterial cfu of post-retting water in Baduria varied from 6.27 to 6.65 with
a mean value of 6.49.
| Table 1: |
Physico-chemical parameters of jute retting water samples |
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| Value represented by the same superscripts in a column are
statistically similar at 5% probability level by DMRT |
| Table 2: |
Calcium, magnesium, bicarbonate and chloride contents of
jute retting water samples |
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| Value represented by the same superscripts in a column are
statistically similar at 5% probability level by DMRT |
Irrespective of the places, the fungal cfu of the post-retting water was higher
than the pre-retting water samples. The mean fungal cfu of pre-retting water
was 3.48 in Sonatikari, 3.29 in Baduria and 3.23 in Swarupnagar. The highest
mean fungal cfu of the post-retting water was found in Sonatikari (5.57, range
5.32 to 5.72) and the lowest in Swarupnagar (5.03, range 4.84 to 5.32) (Table
3). The mean pectinolytic bacterial cfu of pre-retting water was 3.31 in
Sonatikari, 3.11 in Baduria and 3.17 in Swarupnagar. The same values at the
post-retting period increased to 5.24 in Sonatikari, 5.10 in Baduria and 5.13
in Swarupnagar.
| Table 3: |
Microbiological parameters of jute retting water samples |
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| Value represented by the same superscripts in a column are
statistically similar at 5% probability level by DMRT |
The spore forming bacterial cfu of pre-retting water varied from 3.30 to 3.60
(mean 3.45) in Sonatikari, 3.24 to 3.45 (mean 3.33) in Baduria and 3.24 to 3.48
(mean 3.37) in Swarupnagar. Sonatikari recorded the highest mean spore forming
bacterial cfu (5.42, range 5.28 to 5.57) at post-retting period and Swarupnagar
recorded the lowest value (5.28, range 5.10 to 5.42). The mean spore forming
bacterial cfu in Baduria was 5.34 with a range of 5.11 to 5.58 at post-retting
period (Table 3).
DISCUSSION
The physico-chemical and microbiological parameters of the water samples varied
significantly between the ponds. Irrespective of the locations, the pH of the
pre-retting water samples was neutral to slightly alkaline, while the same for
post-retting was acidic. Donaghy et al. (1990)
also observed the same phenomenon. The lowering of pH values of post-retting
water samples is related to the release of organic acids like butyric, acetic
and lactic acid during microbial metabolism of sugars, pectins and other gummy
materials (Ahmed and Akhter, 2001). The Ec, a measure
of soluble salts in water, of the post-retting water in all the water samples
were significantly higher than pre-retting water. It is a fact that the ash
content is very high in jute ribbon which is due to the presence of polyuronides
or pectins as their metallic salts (Majumdar and Dey, 1977).
In the ash of ribbon, Calcium (Ca), Magnesium (Mg) and Iron (Fe) were detected.
Increase in Ec in the retting ponds could be attributed either to the release
of salts from jute samples or from the ill practice of using mud to submerge
the jute bundles. The COD is used as a measure of the oxygen equivalent of the
organic matter content of a sample that is susceptible to oxidation by a strong
chemical oxidant. Basically, COD measurement aims to determine the degree of
pollution by biodegradable and non-biodegradable organic matter (Chowdhury
and Zaman, 2001). Results indicated that the COD values of the retting waters
herein were within the environmental control limit. The range of COD values,
during the post-retting period, was much less, but the total hardness of the
retting water samples recorded higher values than previously reported (Ahmed
and Nizam, 2008) which is contradictory to the findings of the present study.
Quality of fibre is better when retting water is soft than when hard water is
used. This explains why successive retting in the same water bodies produce
poor quality jute. The hardness of water is caused by the bicarbonate and chloride
salts of calcium and magnesium. Irrespective of the places, the increase in
hardness of post retting water samples could be attributed to the release of
these two anions during retting.
The microbiological parameters of the post-retting water samples were always
higher than pre-retting samples. The jute plants, when steeped in water, absorb
water and swell and ultimately burst at several places thus liberating the soluble
constituents that include sugars, glucosides and nitrogenous compounds (Ali
and Islam, 1963; Ali et al., 1976). These
substrates create favourable environment for the growth of microorganisms present
in water as well as in the plants. Higher microbial load of the post retting
water samples herein could be related to the availability of biogenic materials
at the disposal of the microorganisms (Ahmed et al.,
2002). Retting is a process by which the pectic materials that bind the
fibres to the remainder of the stem are broken down and the fibres are liberated
(Shamsul Haque et al., 2003). Pectinolytic microorganisms
play a dominant role in producing quality and quantity of jute fibre (Tamburini
et al., 2003). Thus, along with conventional microbial count, pectinolytic
microorganisms in jute retting water were also enumerated. The result clearly
demonstrated that a significant part of the bacterial populations were spore-former,
indicating their dominant role in jute retting.
CONCLUSION Results clearly demonstrated that jute retting deteriorates water quality which may be detrimental to jute quality when successive rettings are carried out in the same pond. This may also pose problem to pisciculture. Remedial measures to improve the water quality after each retting charge in the pond seem essential, particularly for the ponds where pisciculture is to be undertaken. ACKNOWLEDGMENTS The financial assistance from Indian Council for Agricultural Research through Central Research Institute for Jute and Allied Fibres, West Bengal, India is greatly acknowledged.
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