생굴 유통기한 예측 및 품질향상
- Alternative Title
- Prediction of Oyster Shelf-life and Quailty Improvement
- Abstract
- Prediction of Oyster Shelf Life
and Quality Improvement
Woo-young, Jung
Department of Food Science and Technology, Graduate School, Pukyong National University
Abstract
Currently, The giant pacific oyster (Crassostrea gigas) is the most common species in Korea and many consumers prefer eat to raw oyster. The oyster production in Korea at 2012 was 303,280 tons. korean people prefers to eat the most raw oyster called ‘the milk of ocean’ in winter and highest consumes in month Desember-February. Raw oyster mixed with seawater and freshwater are sold in the market an a small packet. After the auction, the raw oysters is often sold by a package, and high-capacity is 5 kg unit but raw oyster which is sold for material of natural state is possible to not indicate shelf-life. Therefore, raw oyster is being sold that its shelf-life is marked by producers their own way. Also, during shelf-life of raw oyster supposing that turbidity occurs 2-3 days, so consumers misunderstand it that oyster is losing freshness. So sensory preference and consumption are decreasing, besides oyster disuse amount is increasing. therefore analyzing a physicochemical property of oyster which is sold kinds of capacity predicts with the turbidity. So glycogen, soluble protein, turbidity, pH are the factor to deacrease freshness and be suitable for quality index of oyster. Correlation of each physicochemical characteristics was calculated and Pearson's correlation was used for calculating physicochemical and sensory properties. The result should that soluble protein seem to most significance. Quality index of soluble protein was 956.85±36.86 mL/100 mL. It was applied to the Arrhenius equation about K value and calculate dthe activation energy. Then it was applied to the Arrhenius equation about K value and calculated the activation. The shelf-life is predicted 7.58 day. prediction of shelf-life was applied safety coefficient 0.8 and final shelf-life seem to 6.06 day. Therefore, increase in the distribution process of turbidity was irrelevant to hygienically. Bacillus subtilis DB9011 injected turbidity to reduce, so that quality and turbidity confirmed improvement impact.
in the result, group injected 103 showed the highest improvement effectiveness of turbidity and showed more effect as lower concentration. But group injected 105 showed quick decomposition. This means more study is needed about concentration of bacillus sp. and its characteristic flavor.
- Author(s)
- 정우영
- Issued Date
- 2014
- Awarded Date
- 2014. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/12413
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001967278
- Alternative Author(s)
- Jung wooyoung
- Affiliation
- 대학원
- Department
- 대학원 식품공학과
- Advisor
- 조영제
- Table Of Contents
- 목 차
Abstract Ⅹ
서 론 1
재료 및 방법 5
1. 실험재료 및 균주 5
1. 1. 실험재료 5
1. 2. 실험균주 5
2. 실험 방법 5
2. 1. pH 5
2. 2. 글리코겐(Glycogen) 6
2. 3. 탁도(Turbidity) 6
2. 4. 가용성단백질(Soluble protein) 7
2. 5. 휘발성염기질소(VBN) 7
2. 6. 일반세균수 7
2. 7. 관능평가 8
2. 8. 품질지표 및 shelf-life 설정 8
3. 통계분석 9
결과 및 고찰 11
1. 저장온도별 생굴 및 충진수의 품질 변화 11
1. 1. 글리코겐(Glycogen), pH관능평가 11
1. 2. 가용성단백질(Soluble protein), 탁도(Turbidity) 20
1. 3. 휘발성염기질소(VBN) 28
1. 4. 일반세균수 33
1. 5. 관능평가 37
2. 생굴의 품질지표 및 shelf-life 예측 44
2. 1. 상관관계 분석 44
2. 2. 유통기한 산출 45
3. Bacillus subtilis DB9011균이 생굴의 품질에 미치는 영향
50
3. 1. 가용성단백질의 변화 50
3. 2. 탁도 변화 53
3. 3. 관능평가 56
요 약 66
참고문헌 69
감사의 글 76
- Degree
- Master
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- 대학원 > 식품공학과
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