Tea authentication and determination of chemical constituents using digital image-based fingerprint signatures and chemometrics

Fernandes, Jéssica Silva; Fernandes, David Douglas de Sousa; Pistonesi, Marcelo Fabián; Diniz, Paulo Henrique Gonçalves Dias

doi:10.1016/j.foodchem.2023.136164

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…This makes it possible to acquire a vector ( x 1 × J ) of information by samples resulting in a matrix ( X I × J ) for a set of I samples. Subsequently, the matrices are used as input for multivariate classification ( Fernandes et al, 2023 ) and/or multivariate calibration models ( Belén et al, 2020 ; Vallese et al, 2021 ). Although less common, there are also DI applications into multiway data acquisition for both calibration and classification ( Belén et al, 2020 ; Vallese et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

Koljančić,

Onça,

Khvalbota

et al. 2024

Current Research in Food Science

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Section: Introductionmentioning

confidence: 99%

Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

Koljančić,

Onça,

Khvalbota

et al. 2024

Current Research in Food Science

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“…To understand the information on the consumption of non-alcoholic beverages with their caffeine levels, acidity levels, and health risks, a literature review was conducted. The consumer's preference for non-alcoholic beverages is based on the organoleptic characteristics of the beverages in terms of aroma, color, and taste, which gives a good reputation to specific producing companies [22]. Considering caffeine and health, the multi-target action of caffeine present in non-alcoholic beverages has been found to have excellent outcomes on brain function, cognitive performance, memory, suppressing body weight, and respiratory function [23].…”

Section: Introductionmentioning

confidence: 99%

Caffeine content and acidity levels of some non-alcoholic water-based beverages sold in Banda zone, Kampala, Uganda

Onen¹,

Kissa²,

Odokonyero³

et al. 2023

BMP

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Background:The consumption of has gained attention due to its ability to promote acute benefits such as improved attention, cognitive performance, reduction of fatigue, increased wakefulness, and analgesia. However, the result of caffeine consumption is a concern, it is important to inform consumers about the caffeine content and acidity levels of all non-alcoholic water-based beverages.Methods:The samples were sonicated and subjected to analysis by high-performance liquid chromatography-ultraviolet method and pH meter method for acidity content. Results: The highest concentration of caffeine was found in energy drink, ED; with 64.01±0.07 mg/L as compared to soft drinks, SD1; 20.20±0.02 mg/L, SD2; 23.14±0.08 mg/L, and SD3; 29.88±0.02 mg/L. All obtained concentrations were below the permissible levels for caffeine (200 mg/L) intake by the United States Food and Drug Administration. The study also showed that all the non-alcoholic beverages were acidic except bottled water in the sequence BW < ED < SD. The categorical range was bottled water; BW2; 8.01±0.03, BW1; 7.5±0.10, BW3; 7.5±0.11, BW4 6.85±1.38, and Energy drink; ED; 3.17±0.01, and finally, soft drinks; SD2; 2.82±0.02, SD1; 2.61±0.02, and SD3; 2.59±0.05. Conclusions: The results obtained in this study provide satisfactory information on the caffeine and acidity contents of the commonly consumed non-alcoholic water-based beverages in Banda, Kampala-Uganda. This in the future could pose serious health risks, since some individuals consume multiple servings of the drinks in a short time, which could result in intoxication/overdose.Keywords: caffeine, soft drinks, energy drinks, public health, Banda

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Comprehensive analysis of fresh tea (Camellia sinensis cv. Lingtou Dancong) leaf quality under different nitrogen fertilization regimes

Qiu,

Liao,

Chen

et al. 2024

Food Chemistry

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Tea authentication and determination of chemical constituents using digital image-based fingerprint signatures and chemometrics

Cited by 7 publications

References 26 publications

Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

Caffeine content and acidity levels of some non-alcoholic water-based beverages sold in Banda zone, Kampala, Uganda

Comprehensive analysis of fresh tea (Camellia sinensis cv. Lingtou Dancong) leaf quality under different nitrogen fertilization regimes

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