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Sensitive, rapid, and accurate detection of\n                      <jats:sc>l<\/jats:sc>\n                      \u2010theanine is therefore useful to identify the grade and quality of tea.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      A high\u2010sensitivity, paper\u2010based fluorescent sensor combined with chemometrics was established to detect\n                      <jats:sc>l\u2010<\/jats:sc>\n                      theanine in tea water based on CdTe quantum dots \/ corn carbon dots and nano tetra pyridel\u2010porphine zinc (ZnTPyP). To verify the reliability of this method, fluorescence spectra and fluorescence\u2010visualized paper\u2010based sensors were compared. The fluorescence spectrum method demonstrated a linear range of 1 to 10\u2009000\u2009nmol\u2009L\n                      <jats:sup>\u22121<\/jats:sup>\n                      and a limit of detection (LOD) of 0.19\u2009nmol\u2009L\n                      <jats:sup>\u22121<\/jats:sup>\n                      . In the fluorescence\u2010visualized paper\u2010based sensors there was a linear range of 10\u20131000\u2009nmol\u2009L\n                      <jats:sup>\u22121<\/jats:sup>\n                      , and the LOD was 10 nmol\u2009L\n                      <jats:sup>\u22121<\/jats:sup>\n                      . Partial least squares discriminant analysis (PLSDA) and partial least squares regression analysis (PLSR) were used successfully to determine\n                      <jats:sc>l<\/jats:sc>\n                      \u2010theanine accurately in tea water with this approach. The accuracy of the PLSDA model was 100% both in the training set and the predicting set, and the correlation coefficient between the actual concentration and the predicted concentration was greater than 0.9997 in the PLSR model.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>This fluorescence\u2010visualized paper\u2010based sensor, combined with chemometrics, could be applied efficiently to the practical analysis of tea water samples, which provides a new idea to ensure the flavor and quality of tea. \u00a9 2020 Society of Chemical Industry<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jsfa.10882","type":"journal-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T23:26:00Z","timestamp":1602804360000},"page":"2552-2560","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Determination of\n                    <scp>l\u2010<\/scp>\n                    theanine in tea water using fluorescence\u2010visualized paper\u2010based sensors based on\n                    <scp>CdTe<\/scp>\n                    quantum dots\/corn carbon dots and nano\u2010porphyrin with chemometrics"],"prefix":"10.1002","volume":"101","author":[{"given":"Hengye","family":"Chen","sequence":"first","affiliation":[{"name":"The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province School of Pharmaceutical Sciences, South\u2010Central University for Nationalities  Wuhan 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