2020
DOI: 10.1002/jsfa.10459
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A novel fluorescence sensing strategy based on nanoparticles combined with spectral splicing and chemometrics for the recognition of Citrus reticulata ‘Chachi’ and its storage year

Abstract: BACKGROUNDThe fluorescence sensing method has been increasingly applied in food quality control because it is fast and sensitive. However, its application in quality evaluation is challenging. Using Citri Reticulatae Pericarpium (CRP; dried mandarin orange peel) as an example, we developed a simple and low‐cost fluorescence sensing strategy based on nanoparticles combined with spectral splicing and chemometrics for quality evaluation. This method can recognize Citrus reticulata ‘Chachi’ (CRC) from other CRP cu… Show more

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Cited by 12 publications
(5 citation statements)
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“…where TP, TN, FN , and FP represent the numbers of true positives, true negatives, false negatives, and false positives, respectively ( 28 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…where TP, TN, FN , and FP represent the numbers of true positives, true negatives, false negatives, and false positives, respectively ( 28 ).…”
Section: Methodsmentioning
confidence: 99%
“…The performance of the models in geographical origin identification was evaluated in terms of sensitivity, specificity, and accuracy. These three indices were calculated as follows: where TP, TN, FN, and FP represent the numbers of true positives, true negatives, false negatives, and false positives, respectively (28).…”
Section: Models For Geographical Origin Traceability Of Red Raspberry...mentioning
confidence: 99%
“…Te confusion matrix is a method to evaluate the prediction results of the classifcation model in data analysis. Te specifc evaluation indexes include accuracy, sensitivity, and specifcity [32]. Tese precision indexes refect the accuracy of model classifcation from diferent aspects.…”
Section: Evaluation Of Protein Contentmentioning
confidence: 99%
“…Therefore, fast and accurate data batch analysis procedures have become the technical bottleneck in the application of UHPLC-QTOF analysis method (Sharp et al, 2018). It is also a major obstacle Chemometrics has been widely used by researchers in the analysis of spectroscopy data such as those generated by chromatographic MS, nuclear magnetic resonance spectroscopy and spectroscopy due to its powerful filtering, smoothing, exchange, convolution, and information extraction capabilities (Hu et al, 2019;Lan et al, 2020;Li, Dong, et al, 2016;Li, Zeng, et al, 2016;Palmioli et al, 2020). Thus, automatic data analysis strategy (AntDAS) (Fu et al, 2017) was developed to simultaneously perform the peak detection, annotation and time offset corrections of the chromatographic data.…”
Section: Introductionmentioning
confidence: 99%