该文研究了基于炎症和免疫相关代谢物的高效液相色谱-串联质谱定量分析结合化学计量学鉴别“淋巴肉”方法。样品经80%乙腈水提取，正己烷除脂。选用BEH C18（2.1 mm×100 mm，1.7 μm）色谱柱进行分离，以5 mmol/L乙酸铵溶液-乙腈为流动相，25 min梯度洗脱，正负离子同时扫描，建立基于UPLC-MS/MS的38种炎症和免疫相关代谢物的定量方法，并对淋巴肉和猪肉中的炎症和免疫代谢物进行定量分析，结合化学计量学构建淋巴肉判别模型。结果表明，各目标化合物的在浓度范围内有良好的线性关系，低浓度加标回收率范围为50.3%~118.8%，高浓度加样回收率范围为57.0%~127.0%，RSDs均在20%以下。基于PCA模型和OPLS-DA模型，淋巴肉与猪肉两组样本能被很好地区分开，对于淋巴肉掺入比例超过20%的样本可以从猪肉样本中鉴别出来，R2和Q2分别为0.954和0.858，模型无过拟合现象，有良好的预测能力。利用炎症和免疫相关代谢物含量结合化学计量学可以有效区分淋巴肉与猪肉样本，为淋巴肉鉴别提供了一种可靠的方法。

Identification of pork with lymphoid tissues based on quantitative analysis of inflammation and immunity-related metabolites through ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was studied. Samples were extracted with 80% acetonitrile-water and degreased with n-hexane. The separation was carried out using a BEH C18 column (2.1 mm×100 mm, 1.7 μm), with 5 mmol/L ammonium acetate solution-acetonitrile as the mobile phase. Gradient elution was conducted for 25 min, and positive and negative ions were determined simultaneously. A quantitative method for 38 inflammation and immunity-related metabolites based on UPLC-MS/MS was established to quantitatively examine these metabolites in ordinary pork and pork with lymphoid tissues, and the identification model for the latter was constructed by chemometrics. The results reveal a good linear relationship between the target compounds in the concentration range of interest. The recoveries of low concentration spiked samples range from 50.3% to 118.8%, and the recoveries of high concentration spiked samples range from 57.0% to 127.0%, with RSDs below 20%. Based on the PCA and OPLS-DA models, the pork samples with lymphoid tissues and ordinary pork samples can be well identified, and the samples with lymphoid tissue proportions more than 20% can be distinguished from ordinary samples. The R2 and Q2 were 0.954 and 0.858, respectively, and the model showed no over-fitting and good prediction performance. The contents of inflammation and immunity-related metabolites combined with chemometrics can effectively distinguish pork samples with lymphoid tissues from ordinary pork samples, providing a reliable method for the identification of pork with lymphoid tissues.

国家市场监督管理总局科技计划项目（2021MK070）；国家重点研发计划项目（2018YFC1602303）