分析物
炸薯条
计算机科学
彩虹
多路复用
复矩阵
人工智能
生物系统
模式识别(心理学)
材料科学
化学
光学
色谱法
生物信息学
物理
电信
生物
作者
Meng Qin,Yu Huang,Yanan Li,Meng Su,Bingda Chen,Hai‐Yan Sun,Peiyi Yong,Changqing Ye,Fengyu Li,Yanlin Song
标识
DOI:10.1002/anie.201602582
摘要
Abstract A critical requirement for the successful recognition of multiple analytes is the acquisition of abundant sensing information. However, for this to be achieved requires massive chemical sensors or multiplex materials, which complicates the multianalysis. Thus, there is a need to develop a strategy for the facile and efficient recognition of multiple analytes. Herein, we explore the angle‐dependent structural colors of photonic crystals to provide abundant optical information, thereby generating a rainbow‐color chip to realize the convenient recognition of multiple analytes. By simply using a multiangle analysis method, the monophotonic crystal matrix chip can differentially enhance fluorescence signals over broad spectral ranges, thereby resulting in abundant sensing information for highly efficient multiple analysis. Twelve saccharides with similar structures, as well as saccharides in different concentrations and mixtures, were successfully discriminated.
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