Data-driven nanomechanical sensing: specific information extraction from a complex system.
Data-driven nanomechanical sensing: specific information extraction from a complex system.
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DOI：
10.1038/s41598-017-03875-7
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发表时间：
2017-06-16
影响因子：
4.6
通讯作者：
Yoshikawa G
中科院分区：
文献类型：
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作者：
Shiba K;Tamura R;Imamura G;Yoshikawa G
已知气味由数千种不同浓度的化学物质组成，因此，从如此复杂的系统中提取特定信息仍然具有挑战性。在此，我们首次报道了纳米机械传感与机器学习相结合实现了特定信息提取，例如酒精含量量化作为概念验证，从白酒的气味中提取。一个新开发的纳米力学传感器平台，膜型表面应力传感器（MSS），利用。每个MSS通道都涂覆有功能性纳米颗粒，覆盖不同的分析物。使用功能化的MSS阵列测量35种液体样品的气味，包括水、茶、酒和水/乙醇混合物。我们从测量的响应和核岭回归选择特征用于预测样品的酒精含量，从而成功地进行酒精含量定量。此外，本方法提供了一个指导方针，以提高定量精度;疏水性涂层材料比亲水性的更有效地工作。在该指南的基础上，我们通过实验证明了额外的材料，如疏水性聚合物，可以提高预测精度。这种数据驱动的纳米机械传感的适用性不仅限于酒精含量的量化，还可以应用于食品、安全、环境和医学等各个领域。
Smells are known to be composed of thousands of chemicals with various concentrations, and thus, the extraction of specific information from such a complex system is still challenging. Herein, we report for the first time that the nanomechanical sensing combined with machine learning realizes the specific information extraction, e.g. alcohol content quantification as a proof-of-concept, from the smells of liquors. A newly developed nanomechanical sensor platform, a Membrane-type Surface stress Sensor (MSS), was utilized. Each MSS channel was coated with functional nanoparticles, covering diverse analytes. The smells of 35 liquid samples including water, teas, liquors, and water/EtOH mixtures were measured using the functionalized MSS array. We selected characteristic features from the measured responses and kernel ridge regression was used to predict the alcohol content of the samples, resulting in successful alcohol content quantification. Moreover, the present approach provided a guideline to improve the quantification accuracy; hydrophobic coating materials worked more effectively than hydrophilic ones. On the basis of the guideline, we experimentally demonstrated that additional materials, such as hydrophobic polymers, led to much better prediction accuracy. The applicability of this data-driven nanomechanical sensing is not limited to the alcohol content quantification but to various fields including food, security, environment, and medicine.