scholarly journals Extraction Optimization and Characterization of Collagen from Yellow Pike Conger Swimbladder with Acid-Hydro-Exctraction Method

2016 ◽  
Vol 19 (2) ◽  
pp. 156 ◽  
Author(s):  
Fernandy Djailani ◽  
Win Trilaksani ◽  
Tati Nurhayati
Keyword(s):  
Amino Acid ◽  
Acid Content ◽  
Type I Collagen ◽  
Amino Acid Content ◽  
Extraction Time ◽  
Yield Response ◽  
Type I ◽  
Alternative Source ◽  
Extraction Optimization ◽  
Ft Ir

Swim bladder is one of marine potential byproducts for alternative source of collagen. This study aimed<br />to optimize hydro-extraction and characterized collagen. Extraction optimization of collagen was determined<br />using Box-behnken design response surface method with three variables: CH3COOH concentration, soaking<br />time and extraction time to yield response. Hydro-extraction collagen was characterization based on the<br />amino acid content, SDS-PAGE, FT-IR and DSC. Acording to the result, the concentration had significantly<br />influence yield. Optimum extraction conditions were variable combinations of acetic acid concentration of<br />0.1 M, for 1 h and hydro-extraction time of 1 h to produce the highest yield 63.35%. collagen was classified<br />as type I collagen by amino acid content, electrophoresis patterns and fourier transform infrared (FTIR)<br />spectra. The glass transition of collagen was 67.23oC, showed high thermal stability that can be applied to<br />the cosmetics industry and nutraceutical.<br /><br />

scholarly journals Extraction Optimization and Characterization of Collagen from Yellow Pike Conger Swimbladder with Acid-Hydro-Exctraction Method

2016 ◽  
Vol 19 (2) ◽  
pp. 156
Author(s):  
Fernandy Djailani ◽  
Wini Trilaksani ◽  
Tati |Nurhayati
Keyword(s):  
Amino Acid ◽  
Acid Content ◽  
Type I Collagen ◽  
Amino Acid Content ◽  
Extraction Time ◽  
Yield Response ◽  
Type I ◽  
Alternative Source ◽  
Extraction Optimization ◽  
Ft Ir

Swim bladder is one of marine potential byproducts for alternative source of collagen. This study aimed to optimize hydro-extraction and characterized collagen. Extraction optimization of collagen was determined using Box-behnken design response surface method with three variables: CH3 COOH concentration, soaking time and extraction time to yield response. Hydro-extraction collagen was characterization based on the amino acid content, SDS-PAGE, FT-IR and DSC. Acording to the result, the concentration had significantly influence yield. Optimum extraction conditions were variable combinations of acetic acid concentration of 0.1 M, for 1 h and hydro-extraction time of 1 h to produce the highest yield 63.35%. collagen was classified as type I collagen by amino acid content, electrophoresis patterns and fourier transform infrared (FTIR) spectra. The glass transition of collagen was 67.23o C, showed high thermal stability that can be applied to the cosmetics industry and nutraceutical.

scholarly journals Review Article: Fish Bone Collagen

2021 ◽  
pp. 33-39
Author(s):  
Andre Wijaya ◽  
. Junianto
Keyword(s):  
Type I Collagen ◽  
Ph Value ◽  
Amino Acid Content ◽  
Extraction Process ◽  
Fish Bone ◽  
Raw Material ◽  
Bone Collagen ◽  
Type I ◽  
Alternative Source ◽  
Salting Out

Fishbone collagen is an alternative source of bovine and pig collagen. The purpose of this article is to review the types, benefits, extraction methods and characterization of collagen from fish bones, especially freshwater fish. The result of the review shows that the collagen from tilapia bones is shaped like a sheet with a slight porous surface and is of type I. Collagen extraction begins with bone disease from the remaining fat, then degreasing and the next step is extraction. After the extraction process is complete, filtration is carried out to store the filtrate or residue, then the collagen is purified by salting-out with NaCl. Collagen yield and collagen pH value from collagen extraction were different for each type of fish bone. The difference in yield value and protein and amino acid content in the resulting collagen can be caused by differences in the extraction method, the concentration of the solution used, whether acid or alkaline, and the neutralization process and the type of raw material. Fishbone collagen has good benefits in the cosmetic and pharmaceutical fields.

scholarly journals Diabetes-mediated changes in rat type i collagen and spermatogenesis indices

2012 ◽  
Vol 19 (3) ◽  
pp. 245-254 ◽  
Author(s):  
Larysa B. Bondarenko ◽  
Ganna M. Shayakhmetova ◽  
Anatoliy V. Matvienko ◽  
Valentina M. Kovalenko
Keyword(s):  
Extracellular Matrix ◽  
Amino Acid ◽  
Type I Collagen ◽  
Protein Biosynthesis ◽  
Amino Acid Content ◽  
Reproductive Organs ◽  
Diabetic Rats ◽  
Male Rats ◽  
Male Rat ◽  
Type I

Abstract Objectives: To investigate the effects of diabetes on the reproductive system andextracellular matrix proteins of diabetic rats. Materials and Methods: Wistar albinomale rats, body weight (BW) 160-200 g, were divided into two groups: I -streptozoticin diabetes, II - normal non-diabetic animals. The content of amino acidsin rat type I collagen was determined using an amino acid analyzer. Morphologicalanalyses of gonadic structures were carried out by an optic microscope. Results: Thestudy of the effects of diabetes on type I collagen amino acid content, testis cellsmorphologic and morphometric parameters and spermatogenesis demonstrated thepresence of diabetes-mediated quantitative and qualitative changes in male ratreproductive organs, spermatogenetic epithelial cells and extracellular matrixproteins in comparison with normal. Conclusions: Observed collagen moleculeschanges could hence affect the properties and correct functioning of spermatogeneticepithelium and of other tissues of reproductive organs. They could be caused bydiabetes via deficiency of insulin which is involved in collagen synthesis regulationat different stages of this process, cytochrome P450-2E1 induction and reactiveoxygen species effects on protein biosynthesis processes.

scholarly journals The effects of insulin and adrenaline on the amino-acid content of blood

1933 ◽  
Vol 27 (5) ◽  
pp. 1648-1654 ◽  
Author(s):  
James Murray Luck ◽  
Stanley Wallace Morse
Keyword(s):  
Amino Acid ◽  
Acid Content ◽  
Amino Acid Content

Evaluation of seed amino acid content and its correlation network analysis in wild soybean (Glycine soja) germplasm in Japan

2021 ◽  
Vol 19 (1) ◽  
pp. 35-43
Author(s):  
Awatsaya Chotekajorn ◽  
Takuyu Hashiguchi ◽  
Masatsugu Hashiguchi ◽  
Hidenori Tanaka ◽  
Ryo Akashi
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Free Amino Acid ◽  
Acid Content ◽  
Free Amino ◽  
Glycine Soja ◽  
Wild Soybean ◽  
Amino Acid Content ◽  
Soybean Seeds ◽  
Free Amino Acid Content

AbstractWild soybean (Glycine soja) is a valuable genetic resource for soybean improvement. Seed composition profiles provide beneficial information for the effective conservation and utilization of wild soybeans. Therefore, this study aimed to assess the variation in free amino acid abundance in the seeds of wild soybean germplasm collected in Japan. The free amino acid content in the seeds from 316 accessions of wild soybean ranged from 0.965 to 5.987 mg/g seed dry weight (DW), representing a 6.2-fold difference. Three amino acids had the highest coefficient of variation (CV): asparagine (1.15), histidine (0.95) and glutamine (0.94). Arginine (0.775 mg/g DW) was the predominant amino acid in wild soybean seeds, whereas the least abundant seed amino acid was glutamine (0.008 mg/g DW). A correlation network revealed significant positive relationships among most amino acids. Wild soybean seeds from different regions of origin had significantly different levels of several amino acids. In addition, a significant correlation between latitude and longitude of the collection sites and the total free amino acid content of seeds was observed. Our study reports diverse phenotypic data on the free amino acid content in seeds of wild soybean resources collected from throughout Japan. This information will be useful in conservation programmes for Japanese wild soybean and for the selection of accessions with favourable characteristics in future legume crop improvement efforts.

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