Ameri Maryam, Ajji Abdellah, Kessler Samuel
Chemical Engineering Department, Polytechnique Montréal, Montréal, Québec, H3T 1J4, Canada.
Active/Intelligent Packaging, ProAmpac, Cincinnati, OH, 45246, United States.
Curr Res Food Sci. 2024 Nov 23;9:100934. doi: 10.1016/j.crfs.2024.100934. eCollection 2024.
The study assessed a developed food-safe on-package label as a real-time spoilage indicator for fish fillets. This colorimetric sensor is sensitive to Total Volatile Base Nitrogen (TVB-N) levels, providing a correct indication of fish freshness and spoilage. This study evaluates and predicts the shelf-life and effectiveness of an on-package colorimetric indicator. The sensor, using black rice (BC) dye with polyvinyl alcohol (PVOH), polyethylene glycol (PEG), and citric acid (CA) as binders and crosslinking agents, is applied to PET films. The food-safe pH indicator, prepared via lab-scale flexography printing, is durable in humid environments, making it suitable for practical packaging scenarios. The sensor visibly monitored fish spoilage at 4 °C for 9 days. Quality assessment included tracking ΔRGB (total color difference), chemical (TVB-N, pH), and microbiological analyses. Results indicate that the fish samples are fresh up to 4 days of storage at 4 °C; the total viable count (TVC), Pseudomonas growth, TVB-N contents and pH reached: 5.2 (log CFU/ml), 4.31(log CFU/ml), 26.22 (mg N/100 gr sample) and 7.48, respectively. Integrating colorimetric sensor data with mathematical modeling can predict spoilage trends over time. Integrated system offers a smart approach to accurately predicting shelf-life, aiding in optimizing storage conditions, minimizing food waste, and delivering fresh, high-quality fish products to consumers.
该研究评估了一种已开发的食品级包装标签,作为鱼片的实时腐败指标。这种比色传感器对总挥发性盐基氮(TVB-N)水平敏感,能正确指示鱼的新鲜度和腐败情况。本研究评估并预测了包装上比色指示剂的保质期和有效性。该传感器以黑米(BC)染料与聚乙烯醇(PVOH)、聚乙二醇(PEG)和柠檬酸(CA)作为粘合剂和交联剂,应用于PET薄膜。通过实验室规模的柔性版印刷制备的食品级pH指示剂在潮湿环境中耐用,适用于实际包装场景。该传感器在4°C下对鱼的腐败情况进行了9天的可视化监测。质量评估包括跟踪ΔRGB(总色差)、化学分析(TVB-N、pH)和微生物分析。结果表明,鱼样品在4°C下储存4天内是新鲜的;总活菌数(TVC)、假单胞菌生长、TVB-N含量和pH分别达到:5.2(log CFU/ml)、4.31(log CFU/ml)、26.22(mg N/100克样品)和7.48。将比色传感器数据与数学模型相结合,可以预测随时间的腐败趋势。集成系统提供了一种智能方法来准确预测保质期,有助于优化储存条件,减少食物浪费,并向消费者提供新鲜、高质量的鱼产品。