同时多参数化学成像的空间模式网格光电器件

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Andrey V. Kalinichev, Martin R. Rasmussen, Felix L. Hoch, Zuzanna Parnicka, Jacek Fiutowski, Klaus Koren, Casper Kunstmann-Olsen
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引用次数: 0

摘要

化学梯度的高分辨率成像对于研究复杂的微尺度环境至关重要,但由于光谱串扰和信号重叠,传统的平面光电器件在同时多参数传感方面面临限制。在这里,我们提出了一种使用网格光电器件的模块化替代方案──通过定制的3d打印点胶系统以棋盘状布局打印的离散、选择性响应传感器点阵列。每个点对氧或pH值都有响应,从而实现并行检测,光学干扰最小,空间分辨率低于650 μm。使用标准RGB相机进行光学读出,并评估了多种空间插值方法,以从离散点数据重建连续的二维分析图。最近邻插值和均值滤波提供了鲁棒的图像重建。网格光电器件在结构琼脂基质和硫化物沉积物中进行了验证,显示出与传统平面光电器件相当的成像性能。这种方法为高分辨率、多参数化学成像提供了一个可扩展的低成本平台,与可访问的RGB检测系统兼容,并适应各种传感应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatially Patterned Grid Optodes for Simultaneous Multiparameter Chemical Imaging

Spatially Patterned Grid Optodes for Simultaneous Multiparameter Chemical Imaging
High-resolution imaging of chemical gradients is critical for studying complex microscale environments, but conventional planar optodes face limitations in simultaneous multiparameter sensing due to spectral crosstalk and signal overlap. Here, we present a modular alternative using grid optodes─arrays of discrete, selectively responsive sensor spots printed in a checkerboard layout via a custom 3D-printed dispensing system. Each spot responds to either oxygen or pH, enabling parallel detection with minimal optical interference and achieving spatial resolution below 650 μm. Optical readout was performed using standard RGB cameras, and multiple spatial interpolation methods were evaluated to reconstruct continuous 2D analyte maps from discrete spot data. Nearest-neighbor interpolation followed by mean filtering provided robust image reconstruction. The grid optodes were validated in structured agar matrices and sulfidic sediment, demonstrating imaging performance comparable to conventional planar optodes. This approach offers a scalable, low-cost platform for high-resolution, multiparameter chemical imaging compatible with accessible RGB detection systems and adaptable to diverse sensing applications.
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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