당-염 침지 전처리 공정과 진공저온유탕기술을 적용한 굴(Crassostrea gigas) 스낵의 제조공정 최적화Optimizing the Manufacturing Process of Oyster Crassostrea gigas Snacks Using Low-Temperature Vacuum Frying Technology and Sugar- Salt Solution Immersion
- Other Titles
- Optimizing the Manufacturing Process of Oyster Crassostrea gigas Snacks Using Low-Temperature Vacuum Frying Technology and Sugar- Salt Solution Immersion
- Authors
- 박선영; 조혜정; 안영현; 김진; 이가빈; 허민수; 이정석
- Issue Date
- Dec-2024
- Publisher
- 한국수산과학회
- Keywords
- Oyster; Snack; Sugar-salt solution; Vacuum frying; Response surface methodology
- Citation
- 한국수산과학회지, v.57, no.6, pp 655 - 664
- Pages
- 10
- Indexed
- KCI
- Journal Title
- 한국수산과학회지
- Volume
- 57
- Number
- 6
- Start Page
- 655
- End Page
- 664
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/75462
- ISSN
- 0374-8111
- Abstract
- This study aimed to optimize the manufacturing process for oyster Crassostrea gigas snacks by immersing them in a sugar-salt solution and using low-temperature vacuum frying to enhance their distinctive taste and health. The optimization used response surface methodology with a central composite rotatable design. Water (A), high fructose syrup (B), and salt (C) were used as independent variables. Formulation ratios were encoded using transformed values [X1, A/(B+C); X2, B/C]. The dependent variables were moisture content (Y1), browning degree (Y2), and overall acceptability (Y3). The optimal formulation conditions were water (73.9%), high fructose syrup (24.8%), and salt (1.3%), with predicted values of Y1, Y2, and Y3 at 2.9 g/100 g, 0.650 A420nm, and 8.2 points, respectively. For the low-temperature vacuum frying process, optimization used a central composite design, with temperature (X1) and time (X2) as independent variables. The dependent variables were moisture content (Y1), texture (Y2), and sensory chewiness (Y3). Optimal conditions were determined as 100.1°C and 1,020 s of frying time, resulting in predicted values of Y1, Y2, and Y3 at 4.8 g/100 g, 1,451 g/cm², and 7.0 points, respectively. Response surface analysis model demonstrated no significant differences between the experimental and predicted results (P<0.05).
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Collections - 자연과학대학 > 식품영양학과 > Journal Articles
- 공학계열 > Seafood science & Technology > Journal Articles
- 해양과학대학 > Seafood science & Technology > Journal Articles

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