基于LAMP的肉类新鲜度检测效果评价
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(南京农业大学食品科技学院 肉品加工与质量控制教育部重点实验室 南京 210095)

基金项目:

国家自然科学基金面上项目(32172266);江苏省自然科学基金面上项目(BK20221515)


Evaluation of the Effectiveness of LAMP-Based Meat Freshness Detection
Author:
Affiliation:

(State Key Laboratory of Meat Quality Control and Cultured Meat Development, College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095)

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    摘要:

    冷鲜肉在贮藏期间发生的腐败现象,会对产业造成巨大的经济损失,建立一套肉品新鲜度快速检测方法至关重要。本文基于前期成功建立的环介导等温扩增(LAMP)体系,设计3种应用场景(检测实验室、终端市场和家庭厨房),采集现售的25种品牌冷鲜肉,共计125组样品,通过评估感官和细菌数量,验证LAMP体系在多场景下监测肉品新鲜度的准确性。结果表明:4 ℃环境下贮藏3 d后,冷鲜肉的气味和产黏评分均降至阈值之下,菌落总数达6.0~7.5 lg(CFU/g)。LAMP体系在3种应用场景下均能准确监测肉品的新鲜状态,腐败肉样检测液呈蓝色,吸光度大于0.19;新鲜肉样检测液保持紫色,吸光度小于0.19。同时对比多场景检测结果与菌落总数测定结果,达到实验室端为100%,终端市场端为91.3%以及家庭厨房端为100%的腐败监测准确匹配度。本方法具有良好的准确性,可实现多场景下肉品新鲜度的监测,具有代替传统检测方法的可行性。

    Abstract:

    Spoilage of cold meat during storage can cause huge economic losses to the industry, and it is crucial to establish a set of rapid test methods for meat freshness. In this paper, based on the loop-mediated isothermal amplification (LAMP) system successfully established in the previous stage, three application scenarios (testing laboratory, terminal market and home kitchen) were designed, and a total of 125 sets of samples were collected from 25 brands of chilled meats sold in the market to verify the accuracy of the LAMP system in monitoring the freshness of meat under multiple scenarios, by evaluating the organoleptic and bacterial counts. A total of 125 samples were collected from 25 brands of cold meat sold in the market. The results showed that after 3 days of storage at 4 ℃, the odor and viscosity scores of cold meat dropped below the threshold, and the total number of bacterial colonies reached 6.0-7.5 lg(CFU/g). The LAMP system could accurately monitor the freshness of meat in all three scenarios, with the spoiled meat samples showing a blue color and an absorbance value of more than 0.19, and fresh meat samples keeping a purple color and an absorbance value of less than 0.19. The LAMP system was also used in multiple scenarios to evaluate the freshness of meat. Meanwhile, comparing the results of multi-scenarios with the total colony count determination, the accuracy of spoilage monitoring can reach 100% for the experimental end of the test, 91.3% for the end-market end, and 100% for the home kitchen end. Therefore, this method has good accuracy in assessing the freshness of cold meat in different scenarios, and can realize the monitoring of meat freshness in multiple scenarios, with the feasibility of replacing the traditional detection methods.

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盛俊升,张晋豪,刘思露,徐幸莲,王虎虎.基于LAMP的肉类新鲜度检测效果评价[J].中国食品学报,2025,(1):381-390

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  • 收稿日期:2024-01-08
  • 在线发布日期: 2025-03-05
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