文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

1 项目

设置提升方向
Spoilage 指数
LWT-FOOD SCIENCE AND TECHNOLOGY · 2019 · IF 3.714

Developing a new spoilage potential algorithm and identifying spoilage volatiles in small yellow croaker (Larimichthys polyactis) under vacuum packaging condition

Yuan Li,Jiaqi Huang,Chunhong Yuan,Tian Ding,Shiguo Chen,Yaqin Hu

The study aims to develop a new potential algorithm to quantify the spoilage degree in the blocks of croaker packaged under vacuum condition at 4 °C. Firstly, 3 high spoilage potential bacteria isolated from contaminated blocks of croaker were used as test bacteria in storage experiments. During chilled storage, the chemical indexes of each inoculated blocks of croaker were examined every two days, including total viable count (TVC), total volatile base nitrogen (TVB-N), trimethylamine (TMA), and K value was examined to indicate the freshness of small yellow croaker. Based on these parameters, a new method to quantify spoilage potential of small yellow croaker was established by using a calculus formula. In the parallel experiments, the spoilage volatiles of each Specific Spoilage Organism (SSO)-inoculated groups with positive correlation to TVB-N value (R-value > 0.85) were identified by GC-MS, while S. glacialipiscicola and C. maltaromaticum groups possessed highest alkanes, as shown in principle component analysis plot. The study provided a more comprehensively spoilage potential algorithm and proposed a rapid detection method of contaminated SSOs by analyzing the correlation between spoilage volatiles and TVB-N.

CAS / MDL: 108-94-1
研究领域: 食品科学 · 微生物学
✓ 已验证 产品关联 DOI 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。