XRF to support food traceability studies: Classification of Sri Lankan tea based on their region of origin

Rajapaksha, D. R. N. S.; Waduge, Vajira; Padilla-Álvarez, R.; Kalpage, Maheshika; Rathnayake, R. M. N. P.; Migliori, Alessandro; Frew, Russell; Abeysinghe, Sarath I. B.; Abrahim, Aiman; Amarakoon, Tissa

doi:10.1002/xrs.2748

Cited by 29 publications

(15 citation statements)

References 9 publications

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“…Currently, tea is grown on around 221,969 ha, and the cultivation is mainly divided into three major regions; low-grown (<600 m a.s.l), mid-grown (600-1200 m a.s.l), and high-grown (>1200 m a.s.l) areas [26]. There are seven main tea growing areas: Ruhuna and Sambaragamuwa in the low-growing region, Kandy in the mid-growing region, and Nuwara Eliya, Dimbula, Uva, and Uda Pussallawa in the high-growing region of Sri Lanka (Figure 1) [27].…”

Section: Tea Growing Areasmentioning

confidence: 99%

Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka

2020

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How the current distribution of tea cultivation is influenced by specific environmental conditions in Sri Lanka is yet to be explored. Therefore, this study aims to assess the differences between tea and non-tea growing areas with respect to climatic and topographic covariates, and to determine the major covariates that control tea distributions. Climatic data of temperature and rainfall were extracted from WorldClim-Global Climate Data; the elevation, slopes, and aspects were obtained from Global Multi-resolution Terrain Elevation Data; and the solar radiation data was computed using a clear-sky solar radiation model. Random points were created on rasterised environmental layers for tea-growing and non-tea growing areas, stratified into low, mid, and high regions, using ArcGIS version 10.4.1 (Environmental Systems Research Institute: ESRI Redlands, CA, USA).Correlations were derived between covariates and tea and non-tea growing areas. According to the logistic regression analysis, there was no significant influence of the south-west, west, and north-west aspect compared to the north aspect when all other covariates were held constant. The odds ratio indicated that an area with a one-unit higher solar radiation was 1.453 times more likely to be a tea growing area. Similarly, a per unit increase in slope increases the likelihood of an area being suitable for tea cultivation by 1.039 times. When the annual mean temperature increased, the suitability of tea cultivation decreased, but an increased rainfall had increased the suitability of an area for tea cultivation. Areas with a north facing slope had the highest suitability for tea cultivation. This research demonstrated that tea growing could be expanded into a variety of locations as long as these variables are either found or managed in order to obtain the critical levels. In addition, it is proposed that the results of this study could be utilised in the assessment of the climate or/and land suitability for tea.

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Section: Tea Growing Areasmentioning

confidence: 99%

Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka

2020

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“…From that point of view, characterisation of elemental profiles seems to be an excellent approach to differentiate PDO paprika powders from non-PDO products. Several works have been published demonstrating that elemental profiles of food are linked to geographical origin and botanical varieties in different types of food commodities such as honey, tea and potatoes ( Kropf et al, 2010 ; Latorre, Barciela García, García martin & Peña Crecente, 2013 ; Rajapaksha et. 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Authentication of PDO paprika powder (Pimentón de la Vera) by multivariate analysis of the elemental fingerprint determined by ED-XRF. A feasibility study

et al. 2021

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Products with a Protected Denomination of Origin (PDO) are vulnerable to misdescription of their true geographical origin. In this work a method has been developed that allows the authentication of La Vera paprika powder (Pimentón de la Vera), a PDO product from the central-west Spanish region, Extremadura. The mass fractions of Br, Ca, Cr, Cl, Cu, Fe, K, Mn, Ni, P, Rb, S, Sr and Zn determined by energy dispersive X-ray fluorescence (ED-XRF) are used for classification purposes by multivariate analysis using Soft Independent Modelling of Class Analogy (SIMCA) (PCA-Class) and Partial Least Square-Discriminant Analysis (PLS-DA). Sixty-seven paprika samples purchased in supermarkets around Europe and on-line via the official web-site of Pimentón de La Vera, were used to build up the models for prediction purposes. The PCA-class model of La Vera paprika powder had a sensitivity of 82%, a specificity of 100% and an accuracy of 91%, whereas the PLS-DA model had a sensitivity of 100%, a specificity of 91% and an accuracy of 96%.

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“…X-ray fluorescence analysis at NSIL has been applied to a variety of studies: e.g. classification of Sri Lankan tea based on their region of origin [7]; study of surface alterations in archaeological coins [8] and other studies. A full-field XRF spectrometer was commissioned at NSIL.…”

Section: Adaptative Research and Developmentmentioning

confidence: 99%

IAEA Nuclear Science and Instrumentation Laboratory: Support to IAEA Member States and Recent Developments

Foulon¹,

Abdelouahed²,

Bogovać³

et al. 2020

EPJ Web Conf.

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As part of the International Atomic Energy Agency's (IAEA) Physics Section, the Nuclear Science and Instrumentation Laboratory (NSIL) helps Member States (MSs) to establish, operate and maintain various nuclear instrumentation and spectrometry techniques in support of a wide range of applications such as health care, food, agriculture, environment, forensics, cultural heritage, and materials science. NSIL is contributing to capacity building, transfer of knowledge and expertise sharing, including the development of instruments and validation of analytical methodologies. This paper describes NSIL's key activities and provides an overview of the recent developments and achievements, including the commissioning and utilization of an end-station at one of the beam lines in Elettra Sincrotrone Trieste (EST, Italy), the upgrade of an ultralight radiation monitoring system onboarded on a drone, as well as the development of a full field X-ray fluorescence analytical system for forensic applications and characterization of valuable art/archaeological objects.

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XRF to support food traceability studies: Classification of Sri Lankan tea based on their region of origin

Cited by 29 publications

References 9 publications

Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka

Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka

Authentication of PDO paprika powder (Pimentón de la Vera) by multivariate analysis of the elemental fingerprint determined by ED-XRF. A feasibility study

IAEA Nuclear Science and Instrumentation Laboratory: Support to IAEA Member States and Recent Developments

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