Key Laboratory of Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
Key Laboratory of Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, Bioengineering College of Chongqing University, Chongqing 400044, PR China.
Talanta. 2019 Jan 15;192:407-417. doi: 10.1016/j.talanta.2018.09.028. Epub 2018 Sep 11.
Volatile compounds (VCs) are almost harmful to health even at low concentrations and can be used as potential biomarkers to indicate the risk of diseases. Here we report a new "nanoporous pigment array" constructed with composites of chemically responsive dyes and four nanomaterials that were successfully prepared with expected properties for rapid and highly portable identification of trace VCs. Using the array, clear differentiation has been easily achieved for 16 common VCs at low ppm concentrations within four minutes through the distinguishable difference maps. Based on the pattern recognition of HCA, PCA and LDA, five parallel samples of each VC could be classified accurately with an accuracy of ≥ 91.2%. Additionally, the nanoporous pigment array shows modest stability against the changes in humidity or temperature over a wide range, excellent batch to batch reproducibility and a long shelf life. Compared to current colorimetric sensor arrays only based on diverse chemo-responsive dyes, the improved reactivity of the nanoporous pigment implies that the functionalization with particular nanomaterials is one of most promising paths to further improving the properties of arrays. Generally, the "nanoporous pigment array" presents excellent properties for fast identification of VCs.
挥发性化合物(VCs)即使在低浓度下也几乎对健康有害,可用作潜在的生物标志物来指示疾病的风险。在这里,我们报告了一种新的“纳米孔颜料阵列”,它由对化学有响应的染料和四种纳米材料的复合材料构成,这些材料具有预期的特性,可用于快速、高度便携地识别痕量 VCs。使用该阵列,通过可区分的差异图,在四分钟内即可轻松区分 16 种常见的 VC,浓度低至 ppm。基于 HCA、PCA 和 LDA 的模式识别,可准确分类五种每个 VC 的平行样本,准确率≥91.2%。此外,纳米孔颜料阵列在宽范围内对湿度或温度变化表现出适度的稳定性、出色的批间重现性和长保质期。与目前仅基于多种化学响应染料的比色传感器阵列相比,纳米孔颜料的反应性提高表明,通过特定纳米材料的功能化是进一步改善阵列性能的最有前途途径之一。总体而言,“纳米孔颜料阵列”具有快速识别 VCs 的优异性能。