Nondestructive authentication of the regional and geographical origin of cocoa beans by using a handheld NIR spectrometer and multivariate algorithm

Anyidoho, Elliot K.; Teye, Ernest; Agbemafle, Robert

doi:10.1039/d0ay00901f

Cited by 25 publications

(12 citation statements)

References 42 publications

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“…It is also known to show good performance for classifying high-dimensional data when a limited number of samples are available. 28,29 The performance of each model was evaluated according to sensitivity, specificity, error rates, accuracy and efficiency. These parameters were calculated using eqn (1)–(5) respectively.…”

Section: Methodsmentioning

confidence: 99%

A feasibility study on the use of a pocket-sized NIR spectrometer and multivariate algorithm to distinguish expired drugs from unexpired ones

et al. 2022

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Section: Methodsmentioning

confidence: 99%

A feasibility study on the use of a pocket-sized NIR spectrometer and multivariate algorithm to distinguish expired drugs from unexpired ones

et al. 2022

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“…However, the scores related to the set of Medicilândia samples get mixed with the scores of the samples from the other two regions. Several factors can explain the formation of characteristic groups of cocoa, such as chemical composition [32,33], degree of fermentation [34], and genotype [35], which may be associated with the region of origin of the seeds [36].…”

Section: Discrimination Models For Dried Unfermented Cocoamentioning

confidence: 99%

Geographical Discrimination of Ground Amazon Cocoa by Near-Infrared Spectroscopy: Influence of Sample Preparation

Ferreira

Chagas

Oliveira

et al. 2022

Journal of Food Quality

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This work presents the application of the NIR technique associated with exploratory analysis of spectral data by main principal components for the discrimination of Amazon cocoa ground seeds. Cocoa samples from different geographic regions of the state of Pará, Brazil (Medicilândia, Tucumã, and Tomé-Açu), were evaluated. The samples collected from each region were divided into four groups distinguished by the treatment applied to the samples, which were fermented (1-with fat and 2-fat-free) and unfermented (3-with moisture and 4-dried). Each set of samples was analyzed separately to identify the influence of moisture, fermentation, and fat on the geographical differentiation of the three regions. From the results obtained, it can be observed that it was not possible to differentiate the samples of seeds not fermented by geographic origin. However, fermentation was crucial for efficient discrimination, providing more defined clusters for each geographic region. The presence of fat in the seeds was a determinant to obtain the best model of geographic discrimination.

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“…The geographical origin of cocoa beans has also been assessed using the Tellspec NIR Spectrometer (Anyidoho et al, 2020). The NIR Spectrometer from Tellspec features an In GaAs (uncooled) detector, built-in battery, and smart phone connectivity capabilities.…”

Section: Near-infrared Spectroscopymentioning

confidence: 99%

Portable spectroscopy for high throughput food authenticity screening: Advancements in technology and integration into digital traceability systems

McVey

Elliott

Cannavan

et al. 2021

Trends in Food Science & Technology

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Nondestructive authentication of the regional and geographical origin of cocoa beans by using a handheld NIR spectrometer and multivariate algorithm

Abstract: Traceability in the cocoa bean trade is vital to ensuring quality. In this study, a handheld near-infrared (NIR) spectroscopy was attempted for rapid and nondestructive regional and geographical classification of...

Cited by 25 publications

References 42 publications

A feasibility study on the use of a pocket-sized NIR spectrometer and multivariate algorithm to distinguish expired drugs from unexpired ones

A feasibility study on the use of a pocket-sized NIR spectrometer and multivariate algorithm to distinguish expired drugs from unexpired ones

Geographical Discrimination of Ground Amazon Cocoa by Near-Infrared Spectroscopy: Influence of Sample Preparation

Portable spectroscopy for high throughput food authenticity screening: Advancements in technology and integration into digital traceability systems

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