Smartphone-assisted nanozyme colorimetric sensor array combined "Image Segmentation-Feature Extraction" deep learning for detecting unsaturated fatty acids

• Main Authors: Zhong, Xinyu, Qin, Yuelian, Liang, Caihong, Liang, Zhenwu, Nong, Yunyuan, Luo, Sanshan, Guo, Yue, Yang, Ying, Wei, Liuyan, Li, Jinfeng, Zhang, Meiling, Tang, Siqi, Liang, Yonghong, Wu, Jinxia, Lam, Yeng Ming, Su, Zhiheng
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Unsaturated fatty acids; Nanozymes
• Online Access: https://hdl.handle.net/10356/181016

Conventional methods for detecting unsaturated fatty acids (UFAs) pose challenges for rapid analyses due to the need for complex pretreatment and expensive instruments. Here, we developed an intelligent platform for facile and low-cost analysis of UFAs by combining a smartphone-assisted colorimetric...