https://scholars.lib.ntu.edu.tw/handle/123456789/605932
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang S.-F | en_US |
dc.contributor.author | Shih W.-L | en_US |
dc.contributor.author | Chen Y.-Y | en_US |
dc.contributor.author | Wu Y.-M | en_US |
dc.contributor.author | LIN-CHI CHEN | en_US |
dc.creator | Huang S.-F;Shih W.-L;Chen Y.-Y;Wu Y.-M;Chen L.-C. | - |
dc.date.accessioned | 2022-04-25T03:57:28Z | - |
dc.date.available | 2022-04-25T03:57:28Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 25901370 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119473867&doi=10.1016%2fj.biosx.2021.100088&partnerID=40&md5=c4f78783461f2b8967aeed1b218cda28 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/605932 | - |
dc.description.abstract | 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 | - |
dc.relation.ispartof | Biosensors and Bioelectronics: X | - |
dc.subject | Pattern recognition | - |
dc.subject | Sap analysis | - |
dc.subject | Solid-contact ion-selective electrode | - |
dc.subject | Ion chromatography | - |
dc.subject | Ion selective electrodes | - |
dc.subject | Ions | - |
dc.subject | K-means clustering | - |
dc.subject | Lettuce | - |
dc.subject | Nearest neighbor search | - |
dc.subject | Principal component analysis | - |
dc.subject | Vegetables | - |
dc.subject | Direct analysis | - |
dc.subject | Effective tool | - |
dc.subject | Ion composition | - |
dc.subject | Ion-selective electrode | - |
dc.subject | Ion-selective electrodes array | - |
dc.subject | On-site analysis | - |
dc.subject | Plant sap | - |
dc.subject | Sap analyse | - |
dc.subject | Solid contacts | - |
dc.subject | Conducting polymers | - |
dc.subject | ammonia | - |
dc.subject | calcium | - |
dc.subject | ion | - |
dc.subject | magnesium | - |
dc.subject | nitrate | - |
dc.subject | polymer | - |
dc.subject | potassium | - |
dc.subject | sodium | - |
dc.subject | analytic method | - |
dc.subject | Article | - |
dc.subject | chemical composition | - |
dc.subject | concentration (parameter) | - |
dc.subject | controlled study | - |
dc.subject | electron | - |
dc.subject | high throughput analysis | - |
dc.subject | ion chromatography | - |
dc.subject | k means clustering | - |
dc.subject | lettuce | - |
dc.subject | nonhuman | - |
dc.subject | nutritional status | - |
dc.subject | pattern recognition | - |
dc.subject | plant growth | - |
dc.subject | plant identification | - |
dc.subject | principal component analysis | - |
dc.subject | reaction time | - |
dc.subject | signal transduction | - |
dc.subject | solid state | - |
dc.subject | vegetable | - |
dc.subject | vegetable juice | - |
dc.subject | voltammetry | - |
dc.title | Ion composition profiling and pattern recognition of vegetable sap using a solid-contact ion-selective electrode array | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1016/j.biosx.2021.100088 | - |
dc.identifier.scopus | 2-s2.0-85119473867 | - |
dc.relation.journalvolume | 9 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | journal article | - |
item.grantfulltext | none | - |
crisitem.author.dept | Biomechatronics Engineering | - |
crisitem.author.dept | Office of Academic Affairs | - |
crisitem.author.dept | Others: Center for General Education | - |
crisitem.author.orcid | 0000-0001-5947-2019 | - |
crisitem.author.parentorg | College of Bioresources and Agriculture | - |
crisitem.author.parentorg | Administrative Unit | - |
crisitem.author.parentorg | National Taiwan University | - |
顯示於: | 生物機電工程學系 |
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