4.7 Article

Highly sensitive enclosed multilayer paper-based microfluidic sensor for quantifying proline in plants

期刊

ANALYTICA CHIMICA ACTA
卷 1105, 期 -, 页码 169-177

出版社

ELSEVIER
DOI: 10.1016/j.aca.2020.01.038

关键词

Proline; Ninhydrin; Paper-based sensor; Drought stress; Arabidopsis

资金

  1. Korea Institute of Planning and Evaluation for Technology in Food, Agriculture and Forestry (IPET) - Ministry of Agriculture, Food and Rural Affairs (MAFRA) [315012-03, 714002-07]
  2. National Research Foundation of Korea (NRF) [2017R1D1A3B03033909]
  3. National Research Foundation of Korea [2017R1D1A3B03033909] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Free proline, termed proline, is a biomarker used for diagnosing drought stress in plants. A previously developed prolineeninhydrin reaction-based paper sensor could quickly and easily detect proline, but it was limited by low sensitivity. In this study, we developed an enclosed multilayer paper-based microfluidic sensor with high sensitivity for the quantitative detection of proline in plants. The multilayer paper-based sensor was manufactured using simple wax printing and origami methods, and contained an internal mixing channel to allow good mixing of the proline with ninhydrin, increasing the proline eninhydrin reactivity and providing accurate and sensitive proline detection. By preloading ninhydrin onto the sample loading area, uniform coloration of the sensing window was achieved, allowing quantitative analysis of various proline concentrations using a constant reaction time. Only the sensing window and sample loading area were exposed to limit sample evaporation and contamination from the external environment. The LOD of the fabricated sensor was 23 mu M, which is approximately 29-fold lower than that of the previously proposed paper sensor (657 mu M). Samples were extracted from A. thaliana plants subjected to drought stress for proline detection. The proline concentrations measured using the developed paper sensor and a spectrophotometric method were not statistically significant at a confidence level of 95%. Therefore, the developed sensor can be applied to measure proline concentrations precisely in the field with a low detection limit. The developed paper-based sensor can be used to detect the early stages of drought in plants and thus improve crop productivity. (C) 2020 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据