Assessment of Meat Freshness via Optical Measurement of Carbon Dioxide Using Fluorescent Capillary Coating

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
S. Anusankari, A. BalajiGanesh, R. Subasri
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Abstract

This paper describes a unique method for quickly, accurately, and non-destructively determining the freshness of meat. During the spoilage of meat, CO₂ is evolved primarily through microbial respiration. The production of CO₂ is often a sign of active spoilage, which helps in determining the freshness and safety of meat consumption. The level of carbon dioxide evolved during meat spoilage was measured using a fluorescent material–coated capillary tube. A CO2 sensing dye was immobilized in a hybrid sol–gel silica matrix followed by its deposition inside a glass capillary tube, which acts as the sensing medium. When the sensing medium is excited by a light source, it fluoresces. The intensity of the fluorescence emitted when meat samples are exposed to the capillary tube diminishes proportionally to the CO2 concentration, thereby enabling quantification. The fluorescence intensity and CO2 concentration were found to have a high linear correlation (R2 > 0.95), demonstrating the method’s accuracy and dependability. A low response time of 12 s signifies the fast detection of changes happening in the evolution of CO2 from meat. The recovery time is determined to be 17 s. Within this time, the sensor becomes ready to react to fresh stimuli for CO2 detection. A short recovery time allows for more rapid successive measurements. This approach is environment-friendly and makes real-time measurements possible, making it ideal for on-site and in-line applications in the food sector. It provides the meat processing industry with an easy, affordable, and effective replacement for traditional methods, enabling quicker decision-making and quality control.

利用荧光毛细管涂层通过光学测量二氧化碳评估肉类新鲜度
本文介绍了一种快速、准确、无损地测定肉类新鲜度的独特方法。在肉类腐败过程中,主要通过微生物呼吸作用产生 CO₂。CO₂ 的产生通常是腐败活跃的标志,有助于确定肉类的新鲜度和食用安全。使用涂有荧光材料的毛细管测量了肉类腐败过程中产生的二氧化碳水平。二氧化碳传感染料被固定在混合溶胶-凝胶二氧化硅基质中,然后沉积在作为传感介质的玻璃毛细管中。当传感介质被光源激发时,就会发出荧光。当肉类样品暴露在毛细管中时,发出的荧光强度与二氧化碳浓度成比例地减弱,从而实现量化。荧光强度和二氧化碳浓度具有很高的线性相关性(R2 > 0.95),证明了该方法的准确性和可靠性。12 秒的低响应时间表明,该方法能快速检测到肉类中二氧化碳的变化。在这段时间内,传感器可以对二氧化碳检测的新刺激做出反应。恢复时间短,可以更快地进行连续测量。这种方法对环境友好,可进行实时测量,非常适合食品行业的现场和在线应用。它为肉类加工业提供了一种简便、经济、有效的方法来替代传统方法,从而实现更快的决策和质量控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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