Abstract：
To identify a novel optimized strategy for preventing fraudulent substitutions of squid species and origins, forty European squids (Loligo vulgaris) and forty flying squids (Todarodes sagittatus) from the Mediterranean Sea and Atlantic Ocean were analyzed for δ13C, δ15N, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Yb, and Lu using isotope ratio mass spectrometry and inductively coupled plasma-mass spectrometry. While δ13C and δ15N variations were mainly species-related, they alone could not reliably distinguish samples. To address this issue, decision rules were developed using Classification and Regression Tree analysis. Threshold values for δ13C (-19.91‰), δ15N (14.87‰), and Pr (0.49 μg kg-1) enabled successful discrimination among Mediterranean European squids, Atlantic European squids, Mediterranean flying squids, and Atlantic flying squids, achieving over 90% accuracy, 81% precision, 80% sensitivity, and 93% specificity. This method holds promise for enhancing traceability and safety in the seafood industry, ensuring product integrity and consumer trust.
摘要：
为了确定一种新的优化策略，以防止鱿鱼种类和来源的欺诈性替代，分析了来自地中海和大西洋的40只欧洲鱿鱼（Loligovulgaris）和40只飞鱿鱼（Todarodessagittatus）的δ13C，δ15N,La,Ce,Pr,Nd,Sm,Eu,Gd,TB,Dy,Ho,呃，Yb,和Lu使用同位素比质谱和电感耦合等离子体质谱。虽然δ13C和δ15N变异主要与物种有关，他们不能单独可靠地区分样本。为了解决这个问题，使用分类和回归树分析开发了决策规则。δ13C的阈值（-19.91‰），δ15N(14.87‰)，和Pr（0.49μgkg-1）使地中海欧洲鱿鱼能够成功辨别，大西洋欧洲鱿鱼，地中海飞行鱿鱼，和大西洋飞行的鱿鱼，达到90%以上的准确度，81%的精度，80%灵敏度,和93%的特异性。这种方法有望提高海鲜行业的可追溯性和安全性，确保产品的完整性和消费者的信任。
