Graph clustering and portable X-Ray Fluorescence: An application for in situ, fast and preliminary classification of transport amphoras

Odelli, Eleonora; Palleschi, Vincenzo; Legnaioli, Stefano; Cantini, Federico; Raneri, Simona

doi:10.1016/j.sab.2020.105966

Cited by 11 publications

(9 citation statements)

References 29 publications

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“…The 218 spectra were classified using the Graph Clustering method, which was introduced by the Pisa group in 2016 for the classification of samples based on their Laser-Induced Breakdown Spectroscopy spectra [49,50] and then also successfully applied to the classification of samples from their X-Ray Fluorescence spectra [51]. The graph is represented by an adjacency matrix whose (i, j) elements are given by the correlation between the i and j spectra:…”

Section: Methodsmentioning

confidence: 99%

Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment

Cocciaro

Merlino

Bianucci

et al. 2023

Sensors

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The detection and classification of microplastics in the marine environment is a complex task that implies the use of delicate and expensive instrumentation. In this paper, we present a preliminary feasibility study for the development of a low-cost, compact microplastics sensor that could be mounted, in principle, on a float of drifters, for the monitoring of large marine surfaces. The preliminary results of the study indicate that a simple sensor equipped with three infrared-sensitive photodiodes can reach classification accuracies around 90% for the most-diffused floating microplastics in the marine environment (polyethylene and polypropylene).

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Section: Methodsmentioning

confidence: 99%

Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment

Cocciaro

Merlino

Bianucci

et al. 2023

Sensors

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“…Main Elements It can be observed that half of the samples (9 over 18) are made by a Cu-Sn-Pb alloy. To verify if these samples can be really considered as a single group, we applied the graph clustering (GC) method, firstly introduced by the Pisa Laboratory for the unsupervised classification of materials by laser-induced breakdown spectroscopy (LIBS) [13] and later also used for the classification of archaeological objects based on their XRF spectra [14]. The classification is performed based on the distance d 12 between the spectra, which is considered as inversely proportional to their correlation…”

Section: Types Of Alloy Samplesmentioning

confidence: 99%

Preliminary X-ray Fluorescence Analysis of Metallic Samples from the Chovdar Necropolis in Azerbaijan

et al. 2022

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Several samples coming from the recently discovered (February 2019) Late Bronze Age/Early Iron Age Chovdar necropolis in Azerbaijan were analysed using the X-ray fluorescence (XRF) technique. The analysis allowed a preliminary classification of the samples in eight groups based on their composition, obtained from the XRF spectra using the fundamental parameter method. A more detailed classification was then obtained using the graph clustering method.

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“…A study presented by Odelli et al used portable XRF followed by data analysis using an assortment of chemometric methods to classify the provenance of 73 transport amphorae . 383 These authors used PCA, cluster analysis and a method called graph clustering for the classification. The analysis took place on a fresh cut surface.…”

Section: Cultural Heritagementioning

confidence: 99%

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Carter

Clough

Fisher

et al. 2021

J. Anal. At. Spectrom.

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Graph clustering and portable X-Ray Fluorescence: An application for in situ, fast and preliminary classification of transport amphoras

Cited by 11 publications

References 29 publications

Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment

Feasibility Study for the Development of a Low-Cost, Compact, and Fast Sensor for the Detection and Classification of Microplastics in the Marine Environment

Preliminary X-ray Fluorescence Analysis of Metallic Samples from the Chovdar Necropolis in Azerbaijan

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

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