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Privacy-aware community infrastructureChuansen Qin, Huan Lu, Shuisheng Cao, Haixiang Wang
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Unresolved referenced work
2020
Evaluation of bioactive flavonoids and antioxidant activity in Pericarpium Citri Reticulatae (Citrus reticulata ’Chachi’) during storage
10.1016/j.foodchem.2017.03.098 · 2017
Dynamic changes of phenolic acids and antioxidant activity of Citri Reticulatae Pericarpium during aging processes
10.1016/j.foodchem.2021.131399 · 2022
Update on uses and properties of citrus flavonoids: new findings in anticancer, cardiovascular, and anti-inflammatory activity
10.1021/jf8006568 · 2008
Chemical variation of Chenpi (Citrus peels) and corresponding correlated bioactive compounds by LC-MS metabolomics and multibioassay analysis
2022
Prokinetic effects of Citrus reticulata and Citrus aurantium extract with/without Bupleurum chinense using multistress-induced delayed gastric emptying models
10.1080/13880209.2023.2173249 · 2023
Anti-asthmatic activity of alkaloid compounds from Pericarpium Citri reticulatae (Citrus reticulata ’Chachi’)
10.1039/c8fo01753k · 2019
Citrus by-products: valuable source of bioactive compounds for food applications
10.3390/antiox12010038 · 2023
Citrus flavonoids: molecular structure, biological activity and nutritional properties: a review
10.1016/j.foodchem.2006.11.054 · 2007
Recent advances in the authentication (geographical origins, varieties and aging time) of tangerine peel (Citri reticulatae pericarpium): a review
10.1016/j.foodchem.2024.138531 · 2024
Revealing the dynamic changes in the metabolites and sensory quality of Citri reticulatae pericarpium during aging using feature-based molecular networks and metabolomics
10.1016/j.fochx.2025.102884 · 2025
Identification of citri reticulatae pericarpium (Chenpi) from different cultivars via LC-MS/MS and UPLC coupled with multivariate chemometrics analysis
10.1002/fsn3.71591 · 2026
Comprehensive identifying flavonoids in Citri Reticulatae pericarpium using a novel strategy based on precursor ions locked and targeted MS/MS analysis
10.1038/s41598-024-60415-w · 2024
Combination of in silico prediction and convolutional neural network framework for targeted screening of metabolites from LC-HRMS fingerprints: a case study of “Pericarpium Citri Reticulatae - fructus Aurantii,”
10.1016/j.talanta.2023.125514 · 2024
Classification of Pericarpium Citri Reticulatae (Chenpi) age using surface-enhanced Raman spectroscopy
10.1016/j.foodchem.2022.135210 · 2023
Simultaneous determination of five bioactive flavonoids in Pericarpium Citri Reticulatae from China by high-performance liquid chromatography with dual wavelength detection
10.1021/jf901225e · 2009
Chemometrics and digital image colorimetry approaches applied to paper-based analytical devices: a review
10.1016/j.aca.2024.343577 · 2025
Smartphone-based colorimetric sensing with reference calibration and ensemble machine learning for enhanced detection of nitrite and ammonium ions
10.1016/j.aca.2026.345097 · 2026
Machine learning-assisted multicolor identification and quantification of antidepressant drugs by waste-derived fluorescent nanoprobes: towards green AI-based electronic tongue
10.1016/j.aca.2025.344888 · 2026
Machine learning: trends, perspectives, and prospects
10.1126/science.aaa8415 · 2015
Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning
10.1016/j.jpha.2020.07.008 · 2021
Rapid and accurate identification of Gastrodia elata Blume species based on FTIR and NIR spectroscopy combined with chemometric methods
10.1016/j.talanta.2024.126910 · 2025
On-site colorimetric food spoilage monitoring with smartphone embedded machine learning
10.1016/j.talanta.2023.125021 · 2024
Artificial intelligence and machine learning for colorimetric detections: techniques, applications, and future prospects
10.1016/j.teac.2025.e00280 · 2025
A novel multi-layer prediction approach for sweetness evaluation based on systematic machine learning modeling
10.1016/j.foodchem.2021.131249 · 2022
Machine learning for predicting retention times of chiral analytes chromatographically separated by CMPA technique
10.1016/j.chroma.2025.465896 · 2025
A hybrid modelling approach to compare chemical separation technologies in terms of energy consumption and carbon dioxide emissions
10.1038/s41560-024-01668-7 · 2025
Machine learning analysis on separation mechanism of mixed solvents via COF membranes
10.1016/j.seppur.2026.137848 · 2026
Multilayer feedforward networks are universal approximators
10.1016/0893-6080(89)90020-8 · 1989
Support-vector networks
10.1023/a:1022627411411 · 1995
Nearest neighbor pattern classification
10.1109/tit.1967.1053964 · 1967
The regression analysis of binary sequences
10.1111/j.2517-6161.1958.tb00292.x · 1958
Greedy function approximation: a gradient boosting machine
10.1214/aos/1013203451 · 2001
Random forests
10.1023/a:1010933404324 · 2001
In vitro antioxidant and antimicrobial activities of the extract of Pericarpium Citri Reticulatae of a new Citrus cultivar and its main flavonoids
10.1016/j.lwt.2007.04.008 · 2008
NIH Image to ImageJ: 25 years of image analysis
10.1038/nmeth.2089 · 2012
Optimizing BP neural network algorithm for Pericarpium Citri Reticulatae (Chenpi) origin traceability based on computer vision and ultra-fast gas-phase electronic nose data fusion
10.1016/j.foodchem.2024.138408 · 2024
Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion
10.1038/s41538-025-00376-0 · 2025
No additional external references are available.