Department of Chemistry, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan 608-739, Korea.
Lab Chip. 2014 May 21;14(10):1725-32. doi: 10.1039/c3lc51451j. Epub 2014 Mar 27.
Here we report development of a smartphone app (application) that digitizes the colours of a colorimetric sensor array. A conventional colorimetric sensor array consists of multiple paper-based sensors, and reports the detection results in terms of colour change. Evaluation of the colour changes is normally done by the naked eye, which may cause uncertainties due to personal subjectivity and the surrounding conditions. Solutions have been particularly sought in smartphones as they are capable of spectrometric functions. Our report specifically focuses on development of a practical app for immediate point-of-care (POC) multi-analyte sensing without additional devices. First, the individual positions of the sensors are automatically identified by the smartphone; second, the colours measured at each sensor are digitized based on a correction algorithm; and third, the corrected colours are converted to concentration values by pre-loaded calibration curves. All through these sequential processes, the sensor array taken in a smartphone snapshot undergoes laboratory-level spectrometry. The advantages of inexpensive and convenient paper-based colorimetry and the ubiquitous smartphone are tied to achieve a ready-to-go POC diagnosis.
在这里，我们报告了一款智能手机应用程序（应用）的开发，该应用程序可以将比色传感器阵列的颜色数字化。传统的比色传感器阵列由多个基于纸张的传感器组成，并根据颜色变化报告检测结果。颜色变化的评估通常通过肉眼进行，由于个人主观性和周围环境的影响，可能会存在不确定性。由于智能手机具有光谱功能，因此特别需要解决这些问题。我们的报告特别侧重于开发一种实用的应用程序，用于即时的床边（POC）多分析物传感，而无需额外的设备。首先，智能手机会自动识别传感器的各个位置；其次，根据校正算法对每个传感器测量的颜色进行数字化；第三，通过预加载的校准曲线将校正后的颜色转换为浓度值。在这些连续的过程中，智能手机拍摄的传感器阵列进行了实验室级别的光谱分析。廉价且方便的基于纸张的比色法和无处不在的智能手机的优势相结合，实现了即插即用的 POC 诊断。
