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何浩斌,等                                                                 水产学报, 2025, 49(8): 089614

              [14]   梁静, 郝生燕, 赵祥民, 等. 基于近红外光谱技术构建牛羊肉                3976 (in Chinese).
                    掺假鉴别模型   [J]. 甘肃农业大学学报, 2023, 58(1): 19-29,37.  [21]   刘艳, 王鸣秋, 李诗瑶, 等. 基于实时荧光定量  PCR  和数字
                    Liang J, Hao S Y, Zhao X M, et al. Construction of an adultera-  PCR  的肉制品中牛源性成分检测  [J]. 现代食品科技, 2019,
                    tion  identification  model  for  beef  and  mutton  based  on  near-  35(7): 254-260.
                    infrared  spectroscopy[J].  Journal of  Gansu  Agricultural   Uni-  Liu Y, Wang M Q, Li S Y, et al. Detection of bovine compon-
                    versity, 2023, 58(1): 19-29,37 (in Chinese).    ents in meat products based on Real-time fluorescence quantit-
              [15]   李颖, 孙兆敏, 刘萌, 等. 近红外光谱分析技术检测食品中非                ative PCR and digital PCR[J]. Modern Food Science and Tech-
                    法添加物的研究进展     [J]. 福建轻纺, 2023(8): 12-17,22.     nology, 2019, 35(7): 254-260 (in Chinese).
                    Li Y, Sun Z M, Liu M, et al. Research progress on the detec-  [22]   孙畅, 安彬, 杨柳, 等. 发酵豆乳主要乳酸菌实时荧光定量
                    tion of illegal additives in food by near infrared spectroscopy  PCR  检测方法的建立  [J]. 大豆科学, 2020, 39(3): 464-471.
                    analysis  technology[J].  The  Light  &  Textile  Industries  of  Sun C, An B, Yang L, et al. Establishment of real-time fluores-
                    Fujian, 2023(8): 12-17,22 (in Chinese).         cent  quantitative  PCR  method  for  the  detection  of  lactic  acid
              [16]   吴成招, 王一韬, 胡栋, 等. 近红外光谱技术在食用油掺伪检                bacteria in fermented soybean milk[J]. Soybean Science, 2020,
                    测中的研究进展    [J]. 光谱学与光谱分析, 2023, 43(3): 685-     39(3): 464-471 (in Chinese).

                    691.                                      [23]   梁颖婕, 高东微, 董洁, 等. 赤小豆加工食品中红豆成分定性
                    Wu C Z, Wang Y T, Hu D, et al. Research progress of near-  和定量  PCR  检测  [J]. 中国食品卫生杂志, 2022, 34(2): 225-
                    infrared  spectroscopy  in  the  detection  of  edible  oil  230.
                    adulteration[J].  Spectroscopy  and  Spectral  Analysis,  2023,  Liang Y J, Gao D W, Dong J, et al. Qualitative and quantitative
                    43(3): 685-691 (in Chinese).                    detection  of  adzuki  bean  ingredient  in  rice  bean  processed
              [17]   吕雪峰, 许艳丽, 王乐. 近红外光谱技术在畜产品检测中的应                 foods[J]. Chinese Journal of Food Hygiene, 2022, 34(2): 225-
                    用研究  [J]. 农产品质量与安全, 2022(6): 27-34.             230 (in Chinese).
                    Lv X F, Xu Y L, Wang L. Study on application of near infrared  [24]   史莹莹, 康雨薇, 邵俊锋, 等. 实时荧光定量  PCR  鉴定肉制品
                    spectroscopy in the detection of livestock products[J]. Quality  中牛源性成分及其含量  [J]. 食品研究与开发, 2020, 41(6):
                    and Safety of Agro-Products, 2022(6): 27-34 (in Chinese).  158-163.
              [18]   袁建琴, 赵江河, 史宗勇, 等. 动物饲料中转基因抗草甘膦大                Shi Y Y, Kang Y W, Shao J F, et al. Identification of bovine
                    豆  GTS40-3-2  成分的检测  [J]. 大豆科学, 2016, 35(2): 295-  derived components and contents in products by real-time fluor-
                    300.                                            escent  quantitative  PCR[J].  Food  Research  and  Development,
                    Yuan J Q, Zhao J H, Shi Z Y, et al. The Detection of transgenic  2020, 41(6): 158-163 (in Chinese).
                    soybean  GTS  40-3-2  component  in  animal  feed[J].  Soybean  [25]   钱俊平, 郭梁, 海小, 等. 肉制品中羊源性成分的定性和定量
                    Science, 2016, 35(2): 295-300 (in Chinese).     检测  [J]. 肉类研究, 2018, 32(12): 42-47.
              [19]   高延玲, 狄元冉, 董鹏, 等. 反刍动物饲料产品和动物源性饲                Qian  J  P,  Guo  L,  Hai  X,  et  al.  Qualitative  and  quantitative
                    料产品中牛羊源成分检测      [J]. 畜牧与饲料科学, 2014, 35(7-      determination of sheep-derived ingredients in adulterated meat

                    8): 29-31.                                      products[J]. Meat Research, 2018, 32(12): 42-47 (in Chinese).
                    Gao Y L, Di Y R, Dong P, et al. Detection of cattle and sheep-  [26]   海小, 刘国强, 罗建兴, 等. 基于  TaqMan  实时荧光  PCR  检测
                    derived components in feed products of ruminants and animal-  鲜肉及加工肉制品中的驴源性成分  [J]. 肉类研究, 2018,
                    derived  feed[J].  Animal  Husbandry  and  Feed  Science,  2014,  32(4): 62-67.
                    35(7-8): 29-31 (in Chinese).                    Hai X, Liu G Q, Luo J X, et al. Identification of donkey-derived
              [20]   唐廷廷, 陈世界, 张婧, 等. 实时荧光定量  PCR  方法实现羊肉           ingredients  in  raw  and  processed  meats  using  TaqMan  probe
                    中鸡成分的精确定量      [J]. 基因组学与应用生物学, 2020,           based  real-time  polymerase  chain  reaction[J].  Meat  Research,
                    39(9): 3967-3976.                               2018, 32(4): 62-67 (in Chinese).
                    Tang T T, Chen S J, Zhang J, et al. Real-time quantitative PCR  [27]   闻伟刚, 崔俊霞, 赵秀玲. Semi-nested PCR  检测饲料中牛羊
                    method  for  accurate  quantification  of  chicken  components  in  源成分  [J]. 农业生物技术学报, 2006, 14(2): 183-186.
                    mutton[J]. Genomics and Applied Biology, 2020, 39(9): 3967-  Wen  W  G,  Cui  J  X,  Zhao  X  L.  Identification  of  bovine  and

              中国水产学会主办  sponsored by China Society of Fisheries                          https://www.china-fishery.cn
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