Xia Banghua, Zhang Jiaming, Li Chenhui, Wu Song, Huang Li, Qin Dongli, Hao Qirui, Gao Lei
Heilongjiang River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Harbin 150070, China.
Marine College, Shandong University, Weihai 264209, China.
Foods. 2025 Jun 26;14(13):2258. doi: 10.3390/foods14132258.
, , , and were systematically evaluated as crucial components of Chinese aquaculture with substantial market demand. Texture profile analysis (TPA) showed had maximal hardness, while displayed optimal elasticity. Nutrient composition analysis revealed that the highest crude protein content was identified in , while a higher crude lipid level was recorded in . Fatty acid profiling established as a superior source of monounsaturated fatty acids (MUFAs), whereas was distinguished by its polyunsaturated fatty acid (PUFA) content. Volatile compounds were comprehensively analyzed using an electronic nose (e-nose) coupled with HS-SPME-GC-MS, resulting in the identification of 59 flavor compounds. Molecular docking demonstrated that hydrogen bonding and π-π stacking were identified as critical mechanisms governing flavor perception. These findings offer valuable information that can support improvements in aquaculture management practices and help inform consumer choices regarding fish quality.
[具体物种名称1]、[具体物种名称2]、[具体物种名称3]和[具体物种名称4]作为具有巨大市场需求的中国水产养殖的关键组成部分进行了系统评估。质地剖面分析(TPA)表明[具体物种名称1]具有最大硬度,而[具体物种名称2]表现出最佳弹性。营养成分分析显示,[具体物种名称3]中粗蛋白含量最高,而[具体物种名称4]中粗脂肪水平较高。脂肪酸谱分析确定[具体物种名称5]是单不饱和脂肪酸(MUFAs)的优质来源,而[具体物种名称6]以其多不饱和脂肪酸(PUFA)含量而著称。使用电子鼻(e-nose)结合HS-SPME-GC-MS对挥发性化合物进行了全面分析,共鉴定出59种风味化合物。分子对接表明,氢键和π-π堆积被确定为影响风味感知的关键机制。这些发现提供了有价值的信息,可支持水产养殖管理实践的改进,并有助于为消费者关于鱼类品质的选择提供参考。