Itrax micro X-ray fluorescence (µXRF) for soft biological tissues

Gadd, Patricia; Gopi, Karthik; Sammut, Jesmond; Saintilan, Neil; Crawford, Jagoda; Mazumder, Debashish

doi:10.1016/j.mex.2018.10.001

Cited by 7 publications

(7 citation statements)

References 6 publications

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“…An Itrax micro-X-ray fluorescence (µXRF) core scanner with a molybdenum tube was used to determine the relative elemental abundance (given as a percentage of the total counts of elements) of the P. monodon samples. For a more detailed overview of the methods, refer to Gadd [24]. XRF through Itrax was chosen, as it was used in previous studies and produced accurate results when determining provenance [11,17].…”

Section: Elemental Profilingmentioning

confidence: 99%

Developing a MySQL Database for the Provenance of Black Tiger Prawns (Penaeus monodon)

Gopi

Mazumder

Crawford

et al. 2023

Foods

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As the demand for seafood increases, so does the incidence of seafood fraud. Confirming provenance of seafood is important to combat fraudulent labelling but requires a database that contains the isotopic and elemental “fingerprints” of authentic seafood samples. Local isotopic and elemental databases can be scaled up or combined with other databases to increase the spatial and species coverage to create a larger database. This study showcases the use of isotopic and elemental fingerprints of the black tiger prawn (Penaeus monodon) to develop a database that can be used to securely store the data necessary for determining provenance. The utility of this database was tested through querying and building seven different datasets that were used to develop models to determine the provenance of P. monodon. The models built using the data retrieved from the database demonstrated that the provenance of P. monodon could be determined with >80% accuracy. As the database was developed using MySQL, it can be scaled up to include additional regions, species, or methodologies depending on the needs of the users. Combining the database with methods of determining provenance will provide regulatory bodies and the seafood industry with another provenance tool to combat fraudulent seafood labelling.

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Section: Elemental Profilingmentioning

confidence: 99%

Developing a MySQL Database for the Provenance of Black Tiger Prawns (Penaeus monodon)

Gopi

Mazumder

Crawford

et al. 2023

Foods

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“…Procedures for the conventional ICP-MS techniques offer minimal room for adaptation. The potential of other instruments to hasten the analysis for SEP were investigated by Gadd et al [14] and a soft tissue elemental profiling protocol using X-ray fluorescence (XRF) analysis via an Itrax µXRF core scanner was established. Though this instrument is typically used on media with denser matrices like rock and soil core samples [14], the XRF analysis reduces the time needed to perform SEP from hours to minutes per sample.…”

Section: Introductionmentioning

confidence: 99%

“…The potential of other instruments to hasten the analysis for SEP were investigated by Gadd et al [14] and a soft tissue elemental profiling protocol using X-ray fluorescence (XRF) analysis via an Itrax µXRF core scanner was established. Though this instrument is typically used on media with denser matrices like rock and soil core samples [14], the XRF analysis reduces the time needed to perform SEP from hours to minutes per sample. While the analysis by Gadd et al [14] involved sample drying and powdering, here, we investigate the potential of analyzing fresh samples.…”

Section: Introductionmentioning

confidence: 99%

“…Though this instrument is typically used on media with denser matrices like rock and soil core samples [14], the XRF analysis reduces the time needed to perform SEP from hours to minutes per sample. While the analysis by Gadd et al [14] involved sample drying and powdering, here, we investigate the potential of analyzing fresh samples. Unlike ICP-MS, using XRF on fresh samples has the added benefit of being a non-destructive analysis requiring no sample digestion [15], which is ideal in practice, as samples are persevered and can be returned to the supply chain or used for additional analyses.…”

Section: Introductionmentioning

confidence: 99%

“…Studies have examined the use of various elements, such as Li, Al, V, Fe, As, Rb, Sr, Cd, Pb, Ce, Nd, Pr, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm, Yb, Lu, Th, and Y [19][20][21][22]. Gopi et al [20,23] trialed the protocol of Gadd et al [14] by profiling 31 elements in Barramundi (Lates calcarifer) and giant tiger prawns (Penaeus monodon). The SEP was then implemented in a linear discriminant analysis (LDA [24]) and random forest (RF [25]) machine learning models to determine the provenance of the two species and reported high degrees of accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Application of Portable Handheld X-ray Fluorescence (XRF) Scanner for Determining Seafood Provenance: A Case Study on Penaeus monodon

Malo,

Mazumder,

Crawford

et al. 2023

Foods

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Seafood elemental profiling (SEP) is the quantification of a range of elements in seafood products and may serve in addressing questions of seafood provenance and quality. Traditional methods for analyzing soft tissue present several limitations for the industry-level use of SEP. Portable handheld X-ray fluorescence (pXRF) analysis is a promising alternative to conventional methods; however, its application for biological analysis has not been fully established. Intact giant tiger prawn (Penaeus monodon) abdomens were analyzed with a Vanta M series XRF portable analyzer following a novel soft tissue protocol. Exploratory statistics (principal component analysis, nonmetric multidimensional scaling, and canonical discriminant analysis), as well as random forest models, have been implemented with pXRF profiles, yielding 81% accuracy when assigning the geographical origin of P. monodon. The results of this study highlight that SEP via pXRF is a viable industry-level analysis, and its application will depend on improved instrument calibration to account for fluctuating wetness factors that are influenced by cooking, storage, and other pre- and post-harvest treatments.

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