Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/5296
Title: Optimizing Deproteinization of Chitin Using Response Surface Methodology; 1st National Conference on Chemical Technology (NCCT).
Authors: Abubakar, Abubakar Ibrahim
Abdulfatai, Jimoh
Yahya, Muibat Diekola
Auta, Manase
Keywords: chitin synthesis, deproteinization, crab shell waste, response surface methodology.
Issue Date: 7-Aug-2017
Publisher: National Research Institute for Chemical Technology (NARICT), Zaria, Nigeria.
Citation: Ibrahim Abubakar Abubakar, Abdulfatai Jimoh, Muibat Diekola Yahya, Manase Auta. Optimizing Deproteinization of Chitin Using Response Surface Methodology; 1st National Conference on Chemical Technology (NCCT). August 7th – 10th, 2017. National Research Institute for Chemical Technology (NARICT), Zaria, Nigeria. 16-19
Series/Report no.: ;CCT-: 037
Abstract: The physicochemical parameter which influences the application of chitin in various fields is strongly linked to the source and the conditions of the chitin production. The condition of chitin production can be controlled by manipulating solution conditions (temperature, concentration, reaction time) and optimization of deproteinization processes. The Callinectes pallidus wastewas pre-treated, bleached, decolourized and demineralised which significantly affect chitin quality and yield. The design of experiments (DOE) via central composite design (CCD) of response surface methodology (RSM) was used to optimize the process parameters of deproteinization. The experimental results indicate that the crab shells waste (CSW)/chitin had 5.24/4 % moisture, 59.31/0.7% ash, 6.75/0.95 % lipid, 15.75/2.05 % crude protein and mineral 44.17/8.98 g/Kg respectively. The predicted values of the response were further validated and results suggested that the optimal condition for chitin synthesis in deproteinization; treatment temperature 70 oC, reaction time of 4 h, and concentration of NaOH 4.47 % with percentage deproteinization of 92.97 % and 91.08 % for actual and predicted respectively.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/5296
Appears in Collections:Chemical Engineering

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