Huang S.-FShih W.-LChen Y.-YWu Y.-MLIN-CHI CHEN2022-04-252022-04-25202125901370https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119473867&doi=10.1016%2fj.biosx.2021.100088&partnerID=40&md5=c4f78783461f2b8967aeed1b218cda28https://scholars.lib.ntu.edu.tw/handle/123456789/605932This 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 AuthorsPattern recognitionSap analysisSolid-contact ion-selective electrodeIon chromatographyIon selective electrodesIonsK-means clusteringLettuceNearest neighbor searchPrincipal component analysisVegetablesDirect analysisEffective toolIon compositionIon-selective electrodeIon-selective electrodes arrayOn-site analysisPlant sapSap analyseSolid contactsConducting polymersammoniacalciumionmagnesiumnitratepolymerpotassiumsodiumanalytic methodArticlechemical compositionconcentration (parameter)controlled studyelectronhigh throughput analysision chromatographyk means clusteringlettucenonhumannutritional statuspattern recognitionplant growthplant identificationprincipal component analysisreaction timesignal transductionsolid statevegetablevegetable juicevoltammetry[SDGs]SDG16Ion composition profiling and pattern recognition of vegetable sap using a solid-contact ion-selective electrode arrayjournal article10.1016/j.biosx.2021.1000882-s2.0-85119473867