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RISS 인기검색어
- 검색키워드
- 저자 : Peck Loo Kiew (검색결과 6 건)
- 무료
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Peck Loo Kiew,Mat Don Mashitah,Zainal Ahmad 한국응용생명화학회 2014 Applied Biological Chemistry (Appl Biol Chem) Vol.57 No.1
The empirical kinetic models for the pepsin solublecollagen extraction from the skin of cultured hybrid catfish (Clarissp.) were studied using four two-parametric models, namely thepower law, parabolic diffusion, Peleg’s and Elovich’s models. ThePeleg’s model was found to be the best model capable of predictingthe extraction data with R2 >0.9, p-value >2.0%, and RMSD<10.0%, respectively. Kinetic models based on the second orderrate equation were successfully developed to describe the extractionprocesses with different processing variables. Extraction rateconstant, initial extraction rate and equilibrium concentrations fordifferent acetic acid concentrations, liquid to solid ratios, andpepsin dosages were predicted. The verification of the developedmodels showed that the experimental values agreed with thepredicted ones, with percentage error differences in the range of0.03–3.91%.
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Isolation and Characterization of Collagen from the Skin of Malaysian catfish (Hybrid Clarias sp.)
Peck Loo Kiew,Mat Don Mashitah 한국응용생명화학회 2013 Applied Biological Chemistry (Appl Biol Chem) Vol.56 No.4
Acid soluble collagen (ASC) and pepsin soluble collagen (PSC) were isolated from the skin of hybrid Clarias sp. with the yields of 18.11±0.32 and 26.69±0.54% (wet weight basis), respectively. Both collagens were characterized as type I collagen, containing α1 and α2 chains. Presence of high molecular weight crosslinks were observed in the gel electrophoresis of both collagens. Fourier transform infrared spectra of both collagens were almost similar, suggesting that pepsin hydrolysis did not disrupt the triple helical structure. The amino acid analysis showed glycine was the most abundant, with 207/1000 and 223/1000 residues present in ASC and PSC, respectively. The amounts of imino acids were 185/1000 residues for both. Thermal denaturation temperatures were determined to be 31.5 and 31.0oC, respectively. Both collagens exhibited high solubility in acidic pH (1–5) and below 4% (w/v) NaCl concentration.
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Isolation and Characterization of Collagen from the Skin of Malaysian catfish (Hybrid Clarias sp.)
Kiew, Peck Loo,Mashitah, Mat Don 한국응용생명화학회 2013 Applied Biological Chemistry (Appl Biol Chem) Vol.56 No.4
Acid soluble collagen (ASC) and pepsin soluble collagen (PSC) were isolated from the skin of hybrid Clarias sp. with the yields of $18.11{\pm}0.32$ and $26.69{\pm}0.54%$ (wet weight basis), respectively. Both collagens were characterized as type I collagen, containing ${\alpha}1$ and ${\alpha}2$ chains. Presence of high molecular weight crosslinks were observed in the gel electrophoresis of both collagens. Fourier transform infrared spectra of both collagens were almost similar, suggesting that pepsin hydrolysis did not disrupt the triple helical structure. The amino acid analysis showed glycine was the most abundant, with 207/1000 and 223/1000 residues present in ASC and PSC, respectively. The amounts of imino acids were 185/1000 residues for both. Thermal denaturation temperatures were determined to be 31.5 and $31.0^{\circ}C$, respectively. Both collagens exhibited high solubility in acidic pH (1-5) and below 4% (w/v) NaCl concentration.
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Kiew, Peck Loo,Mashitah, Mat Don,Ahmad, Zainal The Korean Society for Applied Biological Chemistr 2014 Applied Biological Chemistry (Appl Biol Chem) Vol.57 No.1
The empirical kinetic models for the pepsin soluble collagen extraction from the skin of cultured hybrid catfish (Claris sp.) were studied using four two-parametric models, namely the power law, parabolic diffusion, Peleg's and Elovich's models. The Peleg's model was found to be the best model capable of predicting the extraction data with $R^2$ >0.9, p-value >2.0%, and RMSD <10.0%, respectively. Kinetic models based on the second order rate equation were successfully developed to describe the extraction processes with different processing variables. Extraction rate constant, initial extraction rate and equilibrium concentrations for different acetic acid concentrations, liquid to solid ratios, and pepsin dosages were predicted. The verification of the developed models showed that the experimental values agreed with the predicted ones, with percentage error differences in the range of 0.03-3.91%.
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Malaysian Freshwater Fish: Exploitable Source for Collagen Extraction
Peck Loo Kiew,Mashitah Mat Don 중소기업융합학회 2015 중소기업융합학회 국제학술대회논문집 Vol.2 No.1
Acid soluble collagen (ASC) and pepsin soluble collagen (PSC) were extracted from the skin of cultured hybrid catfish (Clarias gariepinus X Clarias macrocephalus), red tilapia (Oreochromis niloticus), black tilapia (Oreochromis mossambicus), pangasius catfish (Pangasianodon hypophthalmus), sultan fish (Leptobarbus hoevenii), and labyrinth fish (Trichogaster trichopterus), freshwater fishes that are widely consumed in Malaysia. The extracted yields for all selected species were higher for PSC as compared to ASC. Among all, catfish of the hybrid Clarias sp. contained the highest amount of skin collagen, both ASC and PSC at 36.73 ± 0.51 % and 58.17 ± 0.54 %, respectively. The extracted collagens were confirmed as type I collagen based on the SDSPAGE analysis and amino acid composition. Both ASC and PSC had glycine as the major amino acid and no cysteine was found in any of the extracted collagen. This was consistent with reported characteristics of type I collagen in the literature. Presence of collagen in the skin of these fishes showed the possibility to convert these natural resources into value-added product such as collagen, thus aids in improving their commercial values whilst assisting in ensuring the sustainability of Malaysian freshwater fishes.
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Peck Loo Kiew,Zainal Ahmad,Mashitah Mat Don 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.2
Fractional factorial design (FFD) was applied to evaluate the effects of various process parameters in influencing the extraction efficiency of pepsin soluble collagen (PSC) from muscles of cultured catfish (Clarias gariepinus×C. macrocephalus). Result of the first order factorial design showed that acetic acid concentration, acid extraction time, acetic acid to muscles ratio, and stirring speed posed significant effect (P<0.05) on the yield of PSC obtained at the end of the extraction process. Two different artificial intelligence techniques namely artificial neural network (ANN) and genetic algorithm (GA) were then integrated for optimizing the extraction conditions to obtain the highest yield of PSC. The ANN was trained using the back propagation algorithm. A model was successfully generated with R2 value of 0.9527 and MSE value of 0.1672 for unseen data set, implying a good generalization of the network. Input parameters of the established ANN model were subsequently optimized using GA. The hybrid of ANN-GA model predicted a maximum extraction yield of PSC at 238.25 mg/g under the following conditions: an acetic acid concentration of 0.70 M, the acetic acid to muscles ratio of 25.78 mL/g,and the stirring speed of 432.50 rpm. Verification of the optimization showed the percentage error differences between the experimental and predicted values were less than 5%, indicating excellent modeling, predicting ability and optimization by the ANN-GA model.
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