https://scholars.lib.ntu.edu.tw/handle/123456789/605932
標題: | Ion composition profiling and pattern recognition of vegetable sap using a solid-contact ion-selective electrode array | 作者: | Huang S.-F Shih W.-L Chen Y.-Y Wu Y.-M LIN-CHI CHEN |
關鍵字: | Pattern recognition;Sap analysis;Solid-contact ion-selective electrode;Ion chromatography;Ion selective electrodes;Ions;K-means clustering;Lettuce;Nearest neighbor search;Principal component analysis;Vegetables;Direct analysis;Effective tool;Ion composition;Ion-selective electrode;Ion-selective electrodes array;On-site analysis;Plant sap;Sap analyse;Solid contacts;Conducting polymers;ammonia;calcium;ion;magnesium;nitrate;polymer;potassium;sodium;analytic method;Article;chemical composition;concentration (parameter);controlled study;electron;high throughput analysis;ion chromatography;k means clustering;lettuce;nonhuman;nutritional status;pattern recognition;plant growth;plant identification;principal component analysis;reaction time;signal transduction;solid state;vegetable;vegetable juice;voltammetry | 公開日期: | 2021 | 卷: | 9 | 來源出版物: | Biosensors and Bioelectronics: X | 摘要: | This is the first study to develop an effective tool for plant sap analysis based on a solid-contact ion-selective electrode (SCISE) array, which has the advantages of on-site, direct and fast analysis. SCISEs are all-solid-state ion-selective electrodes with a conducting polymer for ion-to-electron transduction. With the conducting polymer solid-contact, the electrodes perform high stability and short response time (<30 s) during potentiometric sensing. The developed SCISE array consists of potassium (SEN = 51.9 mV/decade), sodium (64.2 mV/decade), ammonium (59.3 mV/decade), calcium (32.1 mV/decade), and magnesium (33.0 mV/decade) selective electrodes. To verify the application, seven types of fresh crude vegetable leaf juices (ion concentration range: 10?3–10?4 M) were measured with the array, and the result was compared with ion chromatography. It was found that the array was able to obtain the unique, distinguishable ion composition profile as a radar plot of each vegetable sap, implying the fingerprint application of the present technology. Furthermore, applying principle component analysis (PCA) and K-means clustering, lettuces grown in different environments (deficiency either in potassium or in nitrate) are able to be discriminated. In summary, we demonstrate a tool for on-site, high-throughput and direct plant sap analysis based on SCISE array. Moreover, it could combine with pattern recognition and become a promising tools which could provide a diagnosis of the nutritive status of vegetables. ? 2021 The Authors |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119473867&doi=10.1016%2fj.biosx.2021.100088&partnerID=40&md5=c4f78783461f2b8967aeed1b218cda28 https://scholars.lib.ntu.edu.tw/handle/123456789/605932 |
ISSN: | 25901370 | DOI: | 10.1016/j.biosx.2021.100088 |
顯示於: | 生物機電工程學系 |
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