Near infrared (NIR) spectroscopy-based classification for the authentication of Darjeeling black tea

Firmani, Patrizia; Luca, Silvia De; Bucci, Remo; Marini, Federico; Biancolillo, Alessandra

doi:10.1016/j.foodcont.2019.02.006

Cited by 124 publications

(46 citation statements)

References 41 publications

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“…Disparities between the origin labeling information and the actual origin of tea may occur; however, these findings demonstrate the importance of the discriminating teas with different origins. Compared to the previous literatures with NIR spectroscopy in tea analysis [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 39 , 40 , 51 ], this study is the first to trace partially fermented tea samples from different countries and regions simultaneously. In terms of future research, the partially fermented tea samples from more countries or regions may be included to validate the effectiveness of this method.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, NIR has been widely applied in the inspection and analysis of food and agricultural products [ 15 , 16 ]. While application of NIR for origin discrimination of tea leaves appears promising, available literature still focuses mainly on green teas [ 17 , 18 , 19 , 20 ], black teas [ 21 , 22 ], or the partially fermented teas in a single country/region [ 23 , 24 , 25 ]. To date, the origin discrimination of Taiwanese and imported partially fermented teas have not been investigated using NIR.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics

Tung

Hsu

et al. 2020

Sensors

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Partially fermented tea such as oolong tea is a popular drink worldwide. Preventing fraud in partially fermented tea has become imperative to protect producers and consumers from possible economic losses. Visible/near-infrared (VIS/NIR) spectroscopy integrated with stepwise multiple linear regression (SMLR) and support vector machine (SVM) methods were used for origin discrimination of partially fermented tea from Vietnam, China, and different production areas in Taiwan using the full visible NIR wavelength range (400–2498 nm). The SMLR and SVM models achieved satisfactory results. Models using data from chemical constituents’ specific wavelength ranges exhibited a high correlation with the spectra of teas, and the SMLR analyses improved discrimination of the types and origins when performing SVM analyses. The SVM models’ identification accuracies regarding different production areas in Taiwan were effectively enhanced using a combination of the data within specific wavelength ranges of several constituents. The accuracy rates were 100% for the discrimination of types, origins, and production areas of tea in the calibration and prediction sets using the optimal SVM models integrated with the specific wavelength ranges of the constituents in tea. NIR could be an effective tool for rapid, nondestructive, and accurate inspection of types, origins, and production areas of teas.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics

Tung

Hsu

et al. 2020

Sensors

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“…Apart from IRMS and ICP-MS, there were other publications that suggest that IR and chemometrics can be used for the detection of the origin of agri-food products [20,21,[40][41][42][43][44][45][46].…”

Section: Published Research For Geographical Origin Authentication Frmentioning

confidence: 99%

Geographical Origin Authentication of Agri-Food Products: A Review

Katerinopoulou

Kontogeorgos

Salmas

et al. 2020

Foods

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This study is a systematic literature review of geographical origin authentication by elemental analytical techniques. Authentication and certification of geographic origin of agri-food products is a useful tool toward the protection of the quality for products. The aim of this work was to map the current state of research in the area of agricultural products and food, identifying emerging fields to the geographical origin of products. The article is divided in three parts. The first part of the article deals with the analytical techniques applied in the food authentication. Special mention is made to elemental analysis and multiple isotope ratio. The second section focuses on statistically published data concerning published research for geographical origin authentication for the period 2015–2019. Specific results are presented inter alia: number of articles according to the type of product, articles according to the type of the analytical techniques, and others. The third part contains characteristic results from articles that were published in the period 2015–2019, on certification of geographical origin on specific agricultural products.

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“…Near-and mid-infrared vibrational spectroscopies have been extensively applied to trace foodstuffs [18][19][20][21][22]. Compared with targeted analytical methods (such as those based on the gasor liquid-chromatographic determination of specific marker molecules), infrared spectroscopy allows for the quick collection of a comprehensive fingerprint of the food composition by means of robust and relatively cheap instrumentation with no or simple pre-treatment of the sample.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of Potato (Solanum tuberosum L.) Accessions Collected in Majella National Park (Abruzzo, Italy) Using Mid-Infrared Spectroscopy and Chemometrics Combined with Morphological and Molecular Analysis

et al. 2020

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Development of local plant genetic resources grown in specific territories requires approaches that are able to discriminate between local and alien germplasm. In this work, three potato (Solanum tuberosum L.) local accessions grown in the area of Majella National Park (Abruzzo, Italy) and five commercial varieties cultivated in the same area were characterized using 22 morphological descriptors and microsatellite (SSR) DNA markers. Analysis of the DNA and of the plant, leaf, flower, and tuber morpho-agronomic traits allowed for a reliable discrimination of the local potato accessions, and provided a clear picture of their genetic relationships with the commercial varieties. Moreover, infrared spectroscopy was used to acquire a fingerprint of the tuber flesh composition. A total of 279 spectra, 70% of which were used in calibration and the remaining 30% for prediction, were processed using partial least squares discriminant analysis. About 97% of the calibration samples and 80% of the prediction samples were correctly classified according to the potato origin. In summary, the combination of the three approaches were useful in the characterization and valorization of local germplasm. In particular, the molecular markers suggest that the potato accession named Montenerodomo, cultivated in Majella National Park, can be considered a local variety and can be registered into the Regional Voluntary GR Register and entered into the foreseen protection scheme, as reported by the Italian regional laws.

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Near infrared (NIR) spectroscopy-based classification for the authentication of Darjeeling black tea

Cited by 124 publications

References 41 publications

Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics

Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics

Geographical Origin Authentication of Agri-Food Products: A Review

Discrimination of Potato (Solanum tuberosum L.) Accessions Collected in Majella National Park (Abruzzo, Italy) Using Mid-Infrared Spectroscopy and Chemometrics Combined with Morphological and Molecular Analysis

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