Hashemian Habibeh, Ghaedi Mehrorang, Dashtian Kheibar, Mosleh Soleiman, Hajati Shaaker, Razmjoue Damoun, Khan Sikandar
Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
Int J Biol Macromol. 2023 Sep 30;249:126065. doi: 10.1016/j.ijbiomac.2023.126065. Epub 2023 Jul 30.
Herein, we designed an on-site and portable colorimetric assay using cellulose acetate polymeric films incorporated with HKUST-1 metal-organic framework while immersed in a solution of methyl red and brilliant cresyl blue organic dyes as an indicator for monitoring ammonia levels. Ammonia serves as a significant biomarker of food spoilage which falls under the category of volatile organic compounds (VOCs). The designed colorimetric solid-state sensor was comprehensively characterized using FE-SEM, EDS-mapping, XRD, FTIR, and contact angle analyses. The results confirmed the superior stability, water permeability, good crystallinity and desirable morphology of the prepared sensor platform. Additionally, customized smartphone was developed and applied for online signaling and colorimetric analysis. The findings demonstrated two linear ranges: 1-100 ppb and 0.1-1340 ppm with a detection limit of 0.02 ppm. The solid-state sensor exhibited high selectivity in the presence of other VOCs such as methanol, ethanol, acetone, 2-propanol, toluene, humidity, and hexane. It displayed acceptable repeatability in both inter-day (RSD = 3.38 %) and intraday (RSD = 3.86 %), long-term stability over 4 days as well as reusability over 3 cycles. We successfully applied this sensing platform for ammonia monitoring in spoiled meat foods including veal, fish and chicken. The results indicated favorable percentage recovery and repeatability, confirming the feasibility and potential applicability of this intelligent packaging system for monitoring freshness. The platform allows for real-time monitoring and data analysis via smartphone-based online signaling, providing a convenient and effective method for ensuring food quality.
在此,我们设计了一种现场便携式比色测定法,使用掺入HKUST-1金属有机框架的醋酸纤维素聚合物薄膜,同时将其浸入甲基红和亮甲酚蓝有机染料溶液中作为监测氨水平的指示剂。氨是食品变质的重要生物标志物,属于挥发性有机化合物(VOCs)类别。使用场发射扫描电子显微镜(FE-SEM)、能谱映射(EDS-mapping)、X射线衍射(XRD)、傅里叶变换红外光谱(FTIR)和接触角分析对所设计的比色固态传感器进行了全面表征。结果证实了所制备传感器平台具有优异的稳定性、透水性、良好的结晶度和理想的形态。此外,还开发并应用了定制智能手机进行在线信号传输和比色分析。研究结果表明有两个线性范围:1 - 100 ppb和0.1 - 1340 ppm,检测限为0.02 ppm。该固态传感器在存在其他挥发性有机化合物(如甲醇、乙醇、丙酮、异丙醇、甲苯、湿度和己烷)的情况下表现出高选择性。它在日间(相对标准偏差RSD = 3.38%)和日内(RSD = 3.86%)均显示出可接受的重复性,在4天内具有长期稳定性以及在3个循环内具有可重复使用性。我们成功地将此传感平台应用于监测变质肉类食品(包括小牛肉、鱼和鸡肉)中的氨。结果表明回收率百分比良好且具有重复性,证实了这种智能包装系统用于监测新鲜度的可行性和潜在适用性。该平台允许通过基于智能手机的在线信号传输进行实时监测和数据分析,为确保食品质量提供了一种方便有效的方法。