The characterization of caffeine and nine individual catechins in the leaves of green tea (Camellia sinensis L.) by near-infrared reflectance spectroscopy

Lee, Min-Seuk; Hwang, Young-Sun; Lee, Jinwook; Choung, Myoung-Gun

doi:10.1016/j.foodchem.2014.02.127

Cited by 94 publications

(62 citation statements)

References 36 publications

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“…Next to water, tea is the most consumed beverage and synthesis a lot of medicinally important secondary metabolites i.e. vitamins (C, E and K), caffeine, polysaccharides, lutein and theanine which are needed for health (Mondal et al 2004, Lee et al 2014. The high genetical heterozygocity of existing Camellia varieties are hampering in steady production of metabolites which could be overcome by using in vitro culture.…”

Section: Introductionmentioning

confidence: 99%

Endogenous Bacterial Contamination of Plant Tissue Culture Materials: Identification and Control Strategy

Ali¹,

Boonerjee²,

Islam

et al. 2018

Plant Tissue Cult. & Biotech.

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The endogenous bacterial contamination of plant tissue culture materials and their possible control was studied. Nine bacterial isolates were isolated from the contaminated tissue culture materials viz. potato and tea. On the basis of morphology and biochemical characters of nine isolates, seven were identified as Gram positive belonging to Bacillus alcalophilus, B. circulans, B. infantis, B. lentus, B. schlegelii, B. pumilus and B. subtilis. Remaining two were Gram negative and identified as Enterobacter cloacae sub. sp. dissolvens and Pantoea agglomerans. Molecular analysis was conducted on the basis of 16S rDNA sequence to confirm three isolates. Culture and sensitivity test was carried out to screen out the antibiotic sensitivity where streptomycin (S-10), polymyxin (PB-300) and gentamicin (CN-120) antibiotics were found to be effective against all bacterial isolates. The culture and sensitivity test reflected the feasibility to control or eliminate the contaminant bacteria during in vitro culture of plant which is very much required in the commercial tissue culture production.

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Section: Introductionmentioning

confidence: 99%

Endogenous Bacterial Contamination of Plant Tissue Culture Materials: Identification and Control Strategy

Ali¹,

Boonerjee²,

Islam

et al. 2018

Plant Tissue Cult. & Biotech.

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“…En segundo lugar se realizó una evaluación de las ecuaciones de calibración seleccionadas con muestras que no intervinieron en la calibración (colectivo de validación, n = 69 en nuestro trabajo), proceso que se denomina validación externa (Bagchi, Sharma, & Chattopadhyay, 2016;Font, Del Río, Fernández, & De Haro, 2003;Kim, Lee, Shin, & Shin, 2014;Lee, Hwang, Lee, & Choung, 2014;Martínez et al, 2014;Sánchez, Garrido-Varo, Guerrero, & Pérez-Marín, 2013;Shenk & Westerhaus, 1991). Las estadísticas de la validación externa incluyen el coeficiente de determinación de la validación (r 2 ve ), el error estándar de predicción (SEP), el RPD ve (que es la relación SD/SEP) y el RER (Williams & Sobering, 1996) que es la relación entre el intervalo de los datos de cada mineral y el error estándar de la predicción.…”

Section: Validación De Las Ecuacionesunclassified

Análisis del contenido en minerales en nabizas y grelos (Brassica rapaL. var.rapa) mediante reflectancia en el infrarrojo cercano

Obregón-Cano

Moreno-Rojas

Jurado-Millán

et al. 2015

CyTA - Journal of Food

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“…Therefore, a method that can identify tea varieties quickly and accurately is important for the tea industry. Currently, some methods, such as inductively coupled plasma emission spectroscopy [3] , inductively coupled plasma mass spectrometry [4] , atomic fluorescence spectrometry [5] , gas chromatography [6] , near-infrared spectroscopy [7] , and high performance liquid chromatography [8] are used to the analyze chemical compositions of tea leaves. However, although these methods can analyze tea composition, some methods require an external environment or complex sample preprocessing and do not have ability to remote control.…”

Section: Introductionmentioning

confidence: 99%

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

Zhang

Zhu

Huang

et al. 2018

International Journal of Agricultural and Biological Engineering

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Abstract:The accurate identification of tea varieties is of great significance to ensure the interests of tea producers and consumers. As a non-destructive or micro damage detection method, laser-induced breakdown spectroscopy (LIBS) has been widely used in the quality detection or classification of agricultural products and food. The objective of this research was to automatically select optimal spectral peaks from the full LIBS spectra, and develop effective classification model for identifying tea varieties. The LIBS spectra covering the region 200-500 nm were measured for 600 Chinese tea leaves including six varieties (i.e. Longjing green tea, Jinhao black tea, Tie Guanyin, Huang Jinya, White peony tea, and Anhua dark tea). A total of 50 optimal spectral peaks were automatically selected from full LIBS spectra (6102) by using the uninformative variable elimination (UVE) and partial least squares projection analysis, and the selected spectral peaks mainly represent the elemental difference in C, Fe, Mg, Mn, Al and Ca. Partial Least Squares Discriminant Analysis (PLS-DA) was used for developing classification model using selected optimal spectral peaks, and yielded the 99.77% classification accuracy for 300 test samples was reached. The results indicate that the proposed method can be used to identify leaf varieties in various tea products.

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The characterization of caffeine and nine individual catechins in the leaves of green tea (Camellia sinensis L.) by near-infrared reflectance spectroscopy

Cited by 94 publications

References 36 publications

Endogenous Bacterial Contamination of Plant Tissue Culture Materials: Identification and Control Strategy

Endogenous Bacterial Contamination of Plant Tissue Culture Materials: Identification and Control Strategy

Análisis del contenido en minerales en nabizas y grelos (Brassica rapaL. var.rapa) mediante reflectancia en el infrarrojo cercano

Automatic determination of optimal spectral peaks for classification of Chinese tea leaves using laser-induced breakdown spectroscopy

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