ArticleSensors (Basel, Switzerland)2020
A Rapid and Nondestructive Approach for the Classification of Different-Age Citri Reticulatae Pericarpium Using Portable Near Infrared Spectroscopy.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 22 citations in OpenAlex.
- A Novel Pattern Recognition Method for Non-Destructive and Accurate Origin Identification of Food and Medicine Homologous Substances with Portable Near-Infrared Spectroscopy.Molecules (Basel, Switzerland) · 2025Article
- From root to result: Portable NIRS-based non-destructive prediction of cassava quality traits.PloS one · 2025Article
- Prediction of 3D printability and rheological properties of different pineapple gel formulations based on LF-NMR.Food chemistry: X · 2024Article
- Accurate Discrimination of Mold-DamagedFoods (Basel, Switzerland) · 2024Article
- Flavonoids contribute most to discriminating aged Guang Chenpi (Food science & nutrition · 2023Article
- Drought stress identification of tomato plant using multi-features of hyperspectral imaging and subsample fusion.Frontiers in plant science · 2023Article
- Restoring trilinearity with the purpose of advanced modeling: towards a more effective analysis ofHeliyon · 2022Article
- Rapid Discrimination ofMolecules (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Citri Reticulatae Pericarpium (CRP), has been used in China for hundreds of years as a functional food and medicine. However, some short-age CRPs are disguised as long-age CRPs by unscrupulous businessmen in order to obtain higher profits. In this paper, a rapid and nondestructive method for the classification of different-age CRPs was established using portable near infrared spectroscopy (NIRS) in diffuse reflectance mode combination with appropriate chemometric methods. The spectra of outer skin and inner capsule of CRPs at different storage ages were obtained directly without destroying the samples. Principal component analysis (PCA) with single and combined spectral pretreatment methods was used for the classification of different-age CRPs. Furthermore, the data were pretreated with the PCA method, and Fisher linear discriminant analysis (FLD) with optimized pretreatment methods was discussed for improving the accuracy of classification. Data pretreatment methods can be used to eliminate the noise and background interference. The classification accuracy of inner capsule is better than that of outer skin data. Furthermore, the best results with 100% prediction accuracy can be obtained with FLD method, even without pretreatment.
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