食物腐败
肉类腐败
再现性
化学
传感器阵列
检出限
食品质量
熟肉
食品科学
色谱法
计算机科学
遗传学
生物
机器学习
细菌
作者
Wengui Nie,Yifei Chen,Han Zhang,Jinsen Liu,Zhengchun Peng,Yingchun Li
标识
DOI:10.1007/s00216-022-04176-3
摘要
Food quality control is essential in industry and daily life. In this work, we developed a novel colorimetric sensor array composed of several pH-sensitive dyes for monitoring meat freshness. A color change in the sensor array was seen after exposure to volatile organic compounds (VOCs), and the images were captured for precise quantification of the VOCs. In conjunction with pattern recognition, meat freshness at different storage periods was readily discerned, revealing that the as-fabricated colorimetric sensor array possessed excellent discrimination ability. The linear range for quantitative analysis of volatiles related to meat spoilage was from 5 ppm to 100 ppm, with a limit of detection at the ppb level (S/N = 3). Furthermore, the testing results obtained by the sensor in assessing meat freshness were validated by a standard method for measuring the total volatile basic nitrogen (TVB-N). The sensing signals showed good agreement with the results obtained in TVB-N when measuring real food samples. The sensor also displayed good reproducibility (RSD < 5%) and long-term stability. The sensor was successfully used for on-site and real-time determination of volatiles emitted from rotting meat, demonstrating its potential application in monitoring the quality and safety of meat products.
科研通智能强力驱动
Strongly Powered by AbleSci AI