International Joint Research Laboratory for Biointerface and Biodetection, State Key Lab of Food Science and Technology, and School of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu Province, 214122, P. R. China.
Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Adv Mater. 2020 Nov;32(45):e2004805. doi: 10.1002/adma.202004805. Epub 2020 Oct 1.
Artificial scent screening systems (known as electronic noses, E-noses) have been researched extensively. A portable, automatic, and accurate, real-time E-nose requires both robust cross-reactive sensing and fingerprint pattern recognition. Few E-noses have been commercialized because they suffer from either sensing or pattern-recognition issues. Here, cross-reactive colorimetric barcode combinatorics and deep convolutional neural networks (DCNNs) are combined to form a system for monitoring meat freshness that concurrently provides scent fingerprint and fingerprint recognition. The barcodes-comprising 20 different types of porous nanocomposites of chitosan, dye, and cellulose acetate-form scent fingerprints that are identifiable by DCNN. A fully supervised DCNN trained using 3475 labeled barcode images predicts meat freshness with an overall accuracy of 98.5%. Incorporating DCNN into a smartphone application forms a simple platform for rapid barcode scanning and identification of food freshness in real time. The system is fast, accurate, and non-destructive, enabling consumers and all stakeholders in the food supply chain to monitor food freshness.
人工香味筛选系统(称为电子鼻,E-nose)已经得到了广泛的研究。一个便携、自动和准确的实时 E-nose 需要强大的交叉反应传感和指纹模式识别。由于传感或模式识别问题,很少有 E-nose 实现商业化。在这里,交叉反应比色条码组合和深度卷积神经网络(DCNN)结合在一起,形成了一个用于监测肉类新鲜度的系统,该系统同时提供香味指纹和指纹识别。这些条形码由 20 种不同类型的壳聚糖、染料和醋酸纤维素的多孔纳米复合材料组成,形成可通过 DCNN 识别的香味指纹。使用 3475 个标记的条码图像进行的完全监督 DCNN 训练可以以 98.5%的整体准确性预测肉类的新鲜度。将 DCNN 纳入智能手机应用程序中,形成了一个用于实时快速扫描条码和识别食品新鲜度的简单平台。该系统快速、准确且无损,使消费者和食品供应链中的所有利益相关者都能够监测食品的新鲜度。