FT-NIR Combined with Machine Learning Was Used to Rapidly Detect the Adulteration of Pericarpium Citri Reticulatae () and Predict the Adulteration Concentration

Overview

Journal Food Chem X

Date 2024 Sep 19

PMID 39296477

Authors

Ying Chen

Si Li

Jia Jia

Chuanduo Sun

Enzhong Cui

Yunyan Xu

Fangchao Shi

Anfu Tang

Affiliations

Soon will be listed here.

Abstract

Pericarpium citri reticulatae (PCR) has been used as a food and spice for many years and is known for its rich nutritional content and unique aroma. However, price increases are often accompanied by adulteration. In this study, two kinds of adulterants (Orange peel-OP and Mandarin Rind-MR) were identified by chromaticity analysis, FT-NIR and machine learning algorithm, and the doping concentration was predicted quantitatively. The results show that colorimetric analysis cannot completely differentiate between PCR and adulterants. Using spectral preprocessing combined with machine learning algorithms, PCR and two adulterants were successfully distinguished, with classification accuracy reaching 99.30 % and 98.64 % respectively. After selecting characteristic wavelengths, the R of the adulterated quantitative model is greater than 0.99. Generally, this study proposes to use FT-NIR to study the adulteration of PCR for the first time, which fills the technical gap in the adulteration research of PCR, and provides an important method to solve the increasingly serious adulteration problem of PCR.

Citing Articles

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PMID: 39942058 PMC: 11817778. DOI: 10.3390/foods14030466.

References

Zhang J, Li Y, Wang B, Song J, Li M, Chen P . Rapid evaluation of Radix Paeoniae Alba and its processed products by near-infrared spectroscopy combined with multivariate algorithms. Anal Bioanal Chem. 2023; 415(9):1719-1732. DOI: 10.1007/s00216-023-04570-5. View

Wang P, Zhang J, Zhang Y, Su H, Qiu X, Gong L . Chemical and genetic discrimination of commercial Guangchenpi ( 'Chachi') by using UPLC-QTOF-MS/MS based metabolomics and DNA barcoding approaches. RSC Adv. 2022; 9(40):23373-23381. PMC: 9067315. DOI: 10.1039/c9ra03740c. View

Liu X, Zhang S, Ni H, Xiao W, Wang J, Li Y . Near infrared system coupled chemometric algorithms for the variable selection and prediction of baicalin in three different processes. Spectrochim Acta A Mol Biomol Spectrosc. 2019; 218:33-39. DOI: 10.1016/j.saa.2019.03.113. View

Shi L, Wang R, Liu T, Wu J, Zhang H, Liu Z . A rapid protocol to distinguish between Citri Exocarpium Rubrum and Citri Reticulatae Pericarpium based on the characteristic fingerprint and UHPLC-Q-TOF MS methods. Food Funct. 2020; 11(4):3719-3729. DOI: 10.1039/d0fo00082e. View

Pu H, Yu J, Sun D, Wei Q, Li Q . Distinguishing pericarpium citri reticulatae of different origins using terahertz time-domain spectroscopy combined with convolutional neural networks. Spectrochim Acta A Mol Biomol Spectrosc. 2023; 299:122771. DOI: 10.1016/j.saa.2023.122771. View

Yan W, Zhao M, Fu Z, Pearlson G, Sui J, Calhoun V . Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series. Schizophr Res. 2021; 245:141-150. PMC: 8413409. DOI: 10.1016/j.schres.2021.02.007. View

Pan S, Zhang X, Xu W, Yin J, Gu H, Yu X . Rapid On-site identification of geographical origin and storage age of tangerine peel by Near-infrared spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc. 2022; 271:120936. DOI: 10.1016/j.saa.2022.120936. View

Yi L, Dong N, Liu S, Yi Z, Zhang Y . Chemical features of Pericarpium Citri Reticulatae and Pericarpium Citri Reticulatae Viride revealed by GC-MS metabolomics analysis. Food Chem. 2015; 186:192-9. DOI: 10.1016/j.foodchem.2014.07.067. View

Yu D, Guo S, Zhang X, Yan H, Zhang Z, Chen X . Rapid detection of adulteration in powder of ginger ( Roscoe) by FT-NIR spectroscopy combined with chemometrics. Food Chem X. 2022; 15:100450. PMC: 9532869. DOI: 10.1016/j.fochx.2022.100450. View

10.

Ho S, Kuo C . Hesperidin, nobiletin, and tangeretin are collectively responsible for the anti-neuroinflammatory capacity of tangerine peel (Citri reticulatae pericarpium). Food Chem Toxicol. 2014; 71:176-82. DOI: 10.1016/j.fct.2014.06.014. View

11.

Zhan H, Fang J, Tang L, Yang H, Li H, Wang Z . Application of near-infrared spectroscopy for the rapid quality assessment of Radix Paeoniae Rubra. Spectrochim Acta A Mol Biomol Spectrosc. 2017; 183:75-83. DOI: 10.1016/j.saa.2017.04.034. View

12.

Duan L, Guo L, Dou L, Zhou C, Xu F, Zheng G . Discrimination of Citrus reticulata Blanco and Citrus reticulata 'Chachi' by gas chromatograph-mass spectrometry based metabolomics approach. Food Chem. 2016; 212:123-7. DOI: 10.1016/j.foodchem.2016.05.141. View

13.

da Silva Medeiros M, Freitas Lima A, Goncalves M, Godoy H, Barbin D . Portable near-infrared (NIR) spectrometer and chemometrics for rapid identification of butter cheese adulteration. Food Chem. 2023; 425:136461. DOI: 10.1016/j.foodchem.2023.136461. View

14.

Chen R, Li S, Cao H, Xu T, Bai Y, Li Z . Rapid quality evaluation and geographical origin recognition of ginger powder by portable NIRS in tandem with chemometrics. Food Chem. 2023; 438:137931. DOI: 10.1016/j.foodchem.2023.137931. View

15.

Amirvaresi A, Parastar H . External parameter orthogonalization-support vector machine for processing of attenuated total reflectance-mid-infrared spectra: A solution for saffron authenticity problem. Anal Chim Acta. 2021; 1154:338308. DOI: 10.1016/j.aca.2021.338308. View

16.

Faith Ndlovu P, Magwaza L, Tesfay S, Ramaesele Mphahlele R . Rapid spectroscopic method for quantifying gluten concentration as a potential biomarker to test adulteration of green banana flour. Spectrochim Acta A Mol Biomol Spectrosc. 2021; 262:120081. DOI: 10.1016/j.saa.2021.120081. View

17.

Dai G, Wu L, Zhao J, Guan Q, Zeng H, Zong M . Classification of Pericarpium Citri Reticulatae (Chenpi) age using surface-enhanced Raman spectroscopy. Food Chem. 2022; 408:135210. DOI: 10.1016/j.foodchem.2022.135210. View

18.

Song X, Huang Y, Yan H, Xiong Y, Min S . A novel algorithm for spectral interval combination optimization. Anal Chim Acta. 2016; 948:19-29. DOI: 10.1016/j.aca.2016.10.041. View

19.

Manthey J, Grohmann K, Guthrie N . Biological properties of citrus flavonoids pertaining to cancer and inflammation. Curr Med Chem. 2001; 8(2):135-53. DOI: 10.2174/0929867013373723. View

20.

Shi Y, He T, Zhong J, Mei X, Li Y, Li M . Classification and rapid non-destructive quality evaluation of different processed products of Cyperus rotundus based on near-infrared spectroscopy combined with deep learning. Talanta. 2023; 268(Pt 1):125266. DOI: 10.1016/j.talanta.2023.125266. View