Mun Sohyun, Shin Eui-Cheol, Kim Seonghui, Park Joodong, Jeong Chungeun, Boo Chang-Guk, Yu Daeung, Sim Jin-Ha, Ji Cheong-Il, Nam Taek-Jeong, Cho Suengmok
Department of Food Science and Technology, Institute of Food Science, Pukyong National University, Busan 48513, Korea.
Department of GreenBio Science/Food Science, Gyeongsang National University, Jinju 52725, Korea.
Foods. 2022 May 10;11(10):1381. doi: 10.3390/foods11101381.
Recently, many manufacturers have been developing or producing imitation crab sticks (ICSs) that are highly similar to real snow crab leg meat (RC). This study evaluated the similarities between commercial ICSs and RC based on the analysis of physicochemical and sensory properties. Normal ICS (NS) and premium ICSs either with real crab leg meat (PS-RC) or without it (PS) were compared with RC. The sensory evaluation results showed that PS and NS had the highest and lowest levels of similarity to RC, respectively. The carbohydrate contents of ICSs (10-23%) were higher than that of RC (0.5%). Among ICSs, PS showed more similarity with RC than NS and PS-RC in terms of gel strength and texture profiles. PS-RC and PS showed a microstructural pattern that slightly imitated the muscle fiber arrangement of RC. The electric tongue analysis of taste compounds, such as sugars, free amino acids, and nucleotides, showed that the taste profile of ICSs is distinctly different from that of RC. The electronic nose analysis identified 32 volatile compounds, while the principal component analysis using electronic nose data successfully distinguished three clusters: PS-RC and PS, RC, and NS. Our results could provide useful information for the development of ICSs with higher similarity to RC.
最近,许多制造商一直在开发或生产与真正的雪蟹腿肉(RC)极为相似的仿蟹棒(ICSs)。本研究基于对理化性质和感官特性的分析,评估了市售ICSs与RC之间的相似性。将普通ICS(NS)以及添加了真正蟹腿肉的优质ICS(PS-RC)和未添加的优质ICS(PS)与RC进行了比较。感官评价结果表明,PS与RC的相似度最高,而NS与RC的相似度最低。ICSs的碳水化合物含量(10-23%)高于RC(0.5%)。在ICSs中,就凝胶强度和质地特征而言,PS与RC的相似度高于NS和PS-RC。PS-RC和PS呈现出一种略微模仿RC肌肉纤维排列的微观结构模式。对糖、游离氨基酸和核苷酸等风味化合物的电子舌分析表明,ICSs的风味特征与RC明显不同。电子鼻分析鉴定出32种挥发性化合物,而利用电子鼻数据进行的主成分分析成功区分出三个类别:PS-RC和PS、RC以及NS。我们的研究结果可为开发与RC相似度更高的ICSs提供有用信息。