Department of Engineering Science, National Cheng Kung University, Tainan 70101, Taiwan.
Department of Food Science, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan.
Food Chem. 2021 May 30;345:128773. doi: 10.1016/j.foodchem.2020.128773. Epub 2020 Dec 3.
Sodium benzoate (SBA) is a widely-used additive for preventing food spoilage and deterioration and extending the shelf life. However, the concentration of SBA must be controlled under safe regulations to avoid damaging human health. Accordingly, this study proposes a microfluidic colorimetric analysis (MCA) system composing of a wax-printed paper-microchip and a self-made smart analysis equipment for the concentration detection of SBA in common foods and beverages. In the presented method, the distilled SBA sample is mixed with NaOH to obtain a nitro compound and the compound is then dripped onto the reaction area of the paper-microchip, which is embedded with two layers of reagents (namely acetophenone and acetone). The paper-microchip is heated at 120 °C for 20 min to cause a colorimetric reaction and the reaction image is then obtained through a CMOS (complementary metal oxide semiconductor) device and transmitted to a cell-phone over a WiFi connection. Finally, use the self-developed RGB analysis software installed on the cell-phone to obtain the SBA concentration. A calibration curve is constructed using SBA samples with known concentrations ranging from 50 ppm (0.35 mM) to 5000 ppm (35 mM). It is shown that the R + G + B value (Y) of the reaction image and SBA concentration (X) are related via Y = -0.034 X +737.40, with a determination coefficient of R = 0.9970. By measuring the SBA concentration of 15 commercially available food and beverage products, the actual feasibility of the current MCA system can be demonstrated. The results show that the difference from the measurement results obtained using the macroscale HPLC method does not exceed 6.0%. Overall, the current system provides a reliable and low-cost technique for quantifying the SBA concentration in food and drink products.
苯甲酸钠(SBA)是一种广泛用于防止食品腐败和变质以及延长保质期的添加剂。然而,为了避免对人体健康造成损害,SBA 的浓度必须在安全规定下进行控制。因此,本研究提出了一种由蜡印纸微流控芯片和自制智能分析设备组成的微流控比色分析(MCA)系统,用于检测常见食品和饮料中 SBA 的浓度。在提出的方法中,将蒸馏的 SBA 样品与 NaOH 混合以获得硝基化合物,然后将化合物滴加到嵌入有两层试剂(即苯乙酮和丙酮)的纸微芯片的反应区域上。将纸微芯片加热至 120°C 20 分钟以引起比色反应,然后通过 CMOS(互补金属氧化物半导体)设备获得反应图像,并通过 Wi-Fi 连接传输到手机。最后,使用安装在手机上的自制 RGB 分析软件获取 SBA 浓度。使用浓度已知的 SBA 样品构建校准曲线,浓度范围为 50ppm(0.35mM)至 5000ppm(35mM)。结果表明,反应图像的 R+G+B 值(Y)与 SBA 浓度(X)之间的关系为 Y=-0.034X+737.40,决定系数为 R=0.9970。通过测量 15 种市售食品和饮料产品的 SBA 浓度,可以证明当前 MCA 系统的实际可行性。结果表明,与使用宏观 HPLC 方法获得的测量结果之间的差异不超过 6.0%。总体而言,当前系统为定量分析食品和饮料产品中的 SBA 浓度提供了一种可靠且低成本的技术。