BACKGROUND Wastewater generated from seafood processing plants poses a serious threat to the draining environments. In addition, huge amount of fish scales are discarded as solid waste from seafood processing plants and fish markets. These biowastes can be used as biosorbent in the treatment of wastewaters. In the present work, waste fish scales were employed as biosorbent in order to explore the adsorption capacity of several pollutant parameters such as nutrients, ammonia, biological oxygen demand (BOD) and chemical oxygen demand (COD) in the treatment of seafood processing plant wastewater. The experiment was carried out as batch work under varying biosorbent dosage levels and contact times. RESULTS The biosorbent treatment showed >70% removal of nitrite, phosphate and BOD. The ammonia and COD were significantly (P < 0.05) reduced with >95% removal at the end of treatment process. Based on the results, the treatment showed best adsorption at 90 min contact time with a biosorbent dosage of 1 g/100 mL in the removal of BOD, COD and ammonia. Other parameters showed maximum reduction at 180 min contact time. Experimental data fitted well with the Langmuir and Freundlich isotherm models (R2 values ranging between 0.84 and 0.99). All of the data were statistically tested using SPSS v25 software. CONCLUSION The results of the present study showed that waste fish scales can be effectively reused as biosorbent in the treatment of organic pollutants from seafood processing plant wastewater. © 2020 Society of Chemical Industry (SCI)
The present study was undertaken to assess the interrelation between water quality and nutrient status of three reservoirssituated in Tamil Nadu, India. These three reservoirs are managed by the Public Works Department (PWD) with the fisheriesaspects falling under the purview of Tamil Nadu State Fisheries Department. In each reservoir, inflow and outflow sectionswere identified as sampling sites. A total of six sampling sites were fixed and monthly sampling for water and fish wasconducted during the period from October 2019 to June 2020. The various physico-chemical parameters such as temperature,electrical conductivity (EC), total dissolved solids (TDS), total suspended solids (TSS), total volatile solids (TVS), turbidity,DO, pH, alkalinity, hardness, chloride, sulphate, biological oxygen demand (BOD) and chemical oxygen demand (COD)were analysed. Biological parameters like chlorophyll-a and primary production as well as various nutrient parameterswere also analysed in the collected water samples. All the physical and chemical water quality variables showed significantvariation (p<0.05) in their concentrations within various months and between stations. All the water quality parameters wereobserved to be within the prescribed limits. The results indicated under-exploitation of fishes from the reservoirs and suggestways to improve fish yields and livelihood of local fisher community. Keywords: Fish catch, Nutrients, Reservoir, Water quality
Pollution of water by organic and inorganic contaminants is a serious environmental issue. The primary emphasis of this present investigation was to reduce wastewater pollution and environmental burden related to fish waste disposal. Prime pollutant parameters such as biological oxygen demand (BOD) and chemical oxygen demand (COD) in fish processing effluent were treated by adsorbents produced from waste fish scales viz., dried fish scale adsorbent and fish scale biochar. A control was used and the entire study was carried out in batch mode to assess the influence of adsorbent dosage levels, contact time, and pH conditions. The experiments revealed that prepared fish scale biochar was as effective as control in achieving a significant (p < 0.05) reduction of BOD (87%) and COD (84%) at 150 min treatment time with 0.24 and 0.48 g dosage level. The optimum pH range was found to be 6–8. The experimental data fitted well with pseudo‐second‐order and Langmuir isotherm models (R2 > 0.911). The influence of intraparticle diffusion in adsorption treatment was tested with Weber–Morris plot. The experiments were done in triplicate and all data were statistically tested using MS Excel, IBM SPSS (version 26), and OriginPro software packages.
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