Identification of pork in raw meat or cooked meatballs within 20 min using rapid PCR coupled with visual detection
文献类型: 外文期刊
作者: Wu, Hui 1 ; Qian, Cheng 1 ; Wang, Rui 1 ; Wu, Cui 1 ; Wang, Zhen 1 ; Wang, Liu 3 ; Zhang, Mengyao 1 ; Ye, Zunzhong 1 ; Zhang 1 ;
作者机构: 1.Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Zhejiang, Peoples R China
2.Yunnan Agr Univ, Coll Food Sci & Technol, Kunming 650201, Yunnan, Peoples R China
3.Zhejiang Acad Agr Sci, Inst Qual & Stand Agroprod, State Key Lab Qual & Safety Agroprod, Hangzhou 310021, Zhejiang, Peoples R China
4.Fuzhou Univ, Coll Biol Sci & Engn, Fuzhou 350108, Fujian, Peoples R China
关键词: Pork; Meat adulteration; Rapid PCR; Visual detection; Portable device
期刊名称:FOOD CONTROL ( 影响因子:5.548; 五年影响因子:5.498 )
ISSN: 0956-7135
年卷期: 2020 年 109 卷
页码:
收录情况: SCI
摘要: Meat adulteration is seriously damaging the interests of consumers. It is important to develop a rapid, simple, cost-effective and sensitive method to identify meat species. In this study, a pair of suitable pork-specific primers was determined by the comparison of three pairs of pork-specific primers and the annealing/extension temperature optimized here was set at 64 degrees C. Rapid polymerase chain reaction (PCR) with glass capillary as reaction vessel, which could complete 45 cycles in 5 min by using two ordinary water baths, was established to detect pork contents in raw beef meat or cooked beef meatballs. A SYTO 9-based visual detection method was used to evaluate the amplification results. The fluorescence signal of negative samples could be removed at 72 degrees C according to the results of original melt curves of positive and negative samples. Strong green fluorescence would be produced in positive samples while the color of negative samples still remained black under the blue light (470 nm). A simple and portable device was designed to prevent detection results disturbed by ambient light and make operation easier. As low as 0.01% pork contents in binary mixtures could be detected and the whole detection process could be finished in 20 min from sampling to results. The developed method would have great potential for rapid on-site detection of pork meat and identification of meat species.
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