scholarly journals Comparative Study on Proximate Composition and Heavy Metal Concentration of Molacarplet (Amblypharyngodon mola) and Spotted Snakehead (Channa punctatus) Collected from Pond Water and Open Water

2021 ◽  
Vol 12 (1-2) ◽  
pp. 91-99
Author(s):  
FH Shikha ◽  
MI Hossain ◽  
MA Mansur ◽  
N Nahar
Keyword(s):  
Heavy Metal ◽  
Metal Concentration ◽  
Proximate Composition ◽  
Open Water ◽  
Heavy Metal Concentration ◽  
Pond Water ◽  
Ash Content ◽  
The Other ◽  
Channa Punctatus ◽  
Composition Analysis

A study was conducted on the proximate composition and heavy metal concentration of Amblypharyngodon mola and Channa punctatus collected from pond water and open water in Mymensingh. The proximate composition analysis result showed -protein, lipid, moisture and ash content (%) of pond water A. mola were 20.26±0.63, 6.70±0.17, 66.40±1.51 and 2.55±0.58, respectively and for the fish caught from open water the values were 19.66±0.75, 5.81±0.18, 63.03±0.82 and 2.92±0.15, respectively. On the other hand, protein, lipid, moisture and ash content (%) of pond water C. punctatus found 23.83±1.07, 5.91±0.11, 64.44±1.87 and 3.23±0.11, respectively whereas the values for the fish caught from open water were 22.21±0.66, 5.43±0.19, 62.73±1.65 and 3.67±0.47, respectively. Arsenic (As) concentration of A. mola was higher in open water fishes (0.23±0.05 μg g-1) than the fishes of pond water (0.14±0.03 μg g-1). Cd concentration of pond water C. punctatus was found 0.21±0.04 μg g-1 whereas open water fishes contained 0.28±0.06 μg g-1. Copper (Cu) concentration of pond water and open water A. mola was 0.27±0.07 μg g-1 and 0.32±0.04 μg g-1, respectively. Heavy metal concentration of A. mola and C. punctatus was within permissible limits except Cd. The result revealed that open water fishes had higher concentration of heavy metals in their muscle than the fishes of pond water. Environ. Sci. & Natural Resources, 12(1&2): 91-99, 2019

scholarly journals Studies on the Proximate Composition, Quality and Heavy Metal Concentration of Sun-dried Bombay Duck and Sun-dried Ribbon Fish of Cox’s Bazar District of Bangladesh

2017 ◽  
Vol 10 (1) ◽  
pp. 55-60
Author(s):  
MGM Jamil ◽  
MN Hossain ◽  
MM Mia ◽  
MA Mansur ◽  
S Uga
Keyword(s):  
Heavy Metal ◽  
Metal Concentration ◽  
Proximate Composition ◽  
Crude Protein ◽  
Laboratory Experiments ◽  
Good Condition ◽  
Heavy Metal Concentration ◽  
Zn Concentration ◽  
Quality Aspect ◽  
Bombay Duck

Proximate composition, quality aspect and heavy metal concentration of sun-dried Bombay Duck (Harpodon nehereus) and sun-dried Ribbon fish (Trichiurus haumela) were studied in a series of laboratory experiments. Sun-dried fishes were collected from a fish market of Cox‟s Bazar town. These sun-dried marine fishes were collected from the stock after first drying procedure. Organoleptically most of these sun-dried fishes were in „B‟ grade that means in „Good‟ condition (SDP 2.33 and 2.35 respectively). Crude Protein, Lipid, Moisture, Ash, TVB-N and TMA-N content (%) of sun-dried Bombay Duck (Harpodon nehereus) was 32.21±1.05 %, 3.51±0.38 %, 37.26±0.70 %, 16.22±0.56 %, 115.45±1.73 mg/100g, 9.37±0.13 mg/100g respectively. Whereas in sun-dried Ribbon fish (Trichiurus haumela) the content (%) of Crude Protein, Lipid, Moisture, Ash, TVB-N and TMA-N was 31.64±1.28 %, 5.06±0.10 %, 35.78±0.97 %, 12.33±0.27 %, 107.69±1.37 mg/100g and 9.91±0.23 mg/100g respectively. Heavy metal concentration i.e. Cd, Cr, Pb, Cu and Zn concentration (ppm) in sun-dried Bombay Duck (Harpodon nehereus) was 0.82, 8.38, 8.28, 2.21, 55.38 ppm. Whereas heavy metal concentration (ppm) in sun-dried Ribbon fish (Trichiurus haumela) was Cd 0.48 ppm, Cr 6.96 ppm, Pb 5.46 ppm, Cu 1.40 ppm, Zn 19.95 ppm.J. Environ. Sci. & Natural Resources, 10(1): 55-60 2017

scholarly journals Studies on the Proximate Composition, Quality and Heavy Metal Concentration of two Sun-Dried Marine Fish (Sun-Dried Silver Pomfret and Sun-Dried Perch) of Cox’s Bazar District of Bangladesh

2017 ◽  
Vol 10 (1) ◽  
pp. 25-32
Author(s):  
MN Hossain ◽  
MGM Jamil ◽  
MM Mia ◽  
MN Uddin ◽  
MA Mansur
Keyword(s):  
Heavy Metal ◽  
Metal Concentration ◽  
Proximate Composition ◽  
Crude Protein ◽  
Heavy Metal Concentration ◽  
Local Market ◽  
Lates Calcarifer ◽  
Good Grade ◽  
Quality Aspect ◽  
Silver Pomfret

This research was conducted on the proximate composition, quality aspect and heavy metal concentration of sun-dried Silver Pomfret (Stromateus cinereus) and sun-dried Perch (Lates calcarifer) which were collected from local market of Cox‟s Bazar town. These sun-dried marine fishes were collected from the stock after first drying procedure. Organoleptically most of these sun-dried fishes were in „excellent‟ grade some were in „Good‟ grade. Crude Protein, Lipid, Moisture, Ash, TVB-N and TMA-N content (%) of sun-dried Silver Pomfret (Stromateus cinereus) was 32.25±1.50, 7.75±0.20, 39.59±0.34, 15.75±0.39, 85.68±1.60 and 8.41±0.37 respectively. Whereas in sun-dried Perch (Lates calcarifer) the content (%) of Crude Protein, Lipid, Moisture, Ash, TVB-N and TMA-N was 40.31±2.13, 5.03±0.55, 26.74±0.47, 11.50±0.26, 46.97±1.00 and 8.21±0.12 respectively. Heavy metal concentration i.e. Cd, Cr, Pb, Cu and Zn concentration (ppm) in sun-dried Silver Pomfret (Stromateus cinereus) was 0.68, 5.85, 8.43, 1.15, 24.93 ppm. Whereas heavy metal concentration (ppm) in sun-dried Perch (Lates calcarifer) was Cd 0.65 ppm, Cr 5.6 ppm, Pb 6.28 ppm, Cu 1.04 ppm, Zn 23.8 ppm.J. Environ. Sci. & Natural Resources, 10(1): 25-32 2017

scholarly journals Heavy Metal Concentration and Mutagenic Assessment of Pond Water Samples: a Case Study from India

2019 ◽  
Vol 29 (1) ◽  
pp. 789-798
Author(s):  
Sneh Rajput ◽  
Tajinder Kaur ◽  
Saroj Arora ◽  
Rajinder Kaur
Keyword(s):  
Heavy Metal ◽  
Metal Concentration ◽  
Water Samples ◽  
Heavy Metal Concentration ◽  
Pond Water

scholarly journals Heavy metal concentration in fish tissues inhabiting waters of “Buško Blato” reservoar (Bosnia and Herzegovina)

2008 ◽  
Vol 145 (1-3) ◽  
pp. 475-475 ◽  
Author(s):  
Elizabeta Has-Schön ◽  
Ivan Bogut ◽  
Gordana Kralik ◽  
Stjepan Bogut ◽  
Janja Horvatić ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Concentration ◽  
Bosnia And Herzegovina ◽  
Heavy Metal Concentration ◽  
Fish Tissues

Remediation-related monitoring of heavy metal concentration of contaminated Technosol using hyperspectral measurements

2021 ◽  
Author(s):  
Friederike Kaestner ◽  
Magdalena Sut-Lohmann ◽  
Thomas Raab ◽  
Hannes Feilhauer ◽  
Sabine Chabrillat
Keyword(s):  
Heavy Metal ◽  
Random Forest ◽  
Metal Concentration ◽  
Strong Dependence ◽  
Scatter Correction ◽  
Heavy Metal Concentration ◽  
Standard Normal Variate ◽  
Multiplicative Scatter Correction ◽  
Second Derivatives ◽  
Standard Normal

<p>Across Europe there are 2.5 million potentially contaminated sites, approximately one third have already been identified and around 15% have been sanitized. Phytoremediation is a well-established technique to tackle this problem and to rehabilitate soil. However, remediation methods, such as biological treatments with microorganisms or phytoremediation with trees, are still relatively time consuming. A fast monitoring of changes in heavy metal content over time in contaminated soils with hyperspectral spectroscopy is one of the first key factors to improve and control existing bioremediation methods.</p><p>At former sewage farms near Ragow (Brandenburg, Germany), 110 soil samples with different contamination levels were taken at a depth between 15-20 cm. These samples were prepared for hyperspectral measurements using the HySpex system under laboratory conditions, combing a VNIR (400-1000 nm) and a SWIR (1000-2500 nm) line-scan detector. Different spectral pre-processing methods, including continuum removal, first and second derivatives, standard normal variate, normalisation and multiplicative scatter correction, with two established estimation models such as Partial Least Squares Regression (PLSR) and Random Forest Regression (RFR), were applied to predict the heavy metal concentration (Ba, Ni, Cr, Cu) of this specific Technosol. The coefficient of determination (R2) shows for Ba and Ni values between 0.50 (RMSE: 9%) and 0.61 (RMSE: 6%) for the PLSR and between 0.84 (RMSE: 0.03%) and 0.91 (RMSE: 0.02%) for the RFR model. The results for Cu and Cr show values between 0.57 (RMSE: 17.9%) and 0.69 (RMSE: 15%) for the PLSR and 0.86 (0.12%) and 0.93 (0.01%) for the RFR model. The pre-processing method, which improve the robustness and performance of both models best, is multiplicative scatter correction followed by the standard normal variate for the first and second derivatives. Random Forest in a first approach seems to deliver better modeling performances. Still, the pronounced differences between PLSR and RFR fits indicate a strong dependence of the results on the respective modelling technique. This effect is subject to further investigation and will be addressed in the upcoming analysis steps.</p>

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