Author Accepted Manuscript_Discrimination of centre composition in panned chocolate goods using near infrared spectroscopy_CQU.pdf (3.05 MB)
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Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy

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journal contribution
posted on 23.11.2022, 00:07 authored by Joel JohnsonJoel Johnson
Non-destructively identifying the centre composition of panned chocolate goods may be useful in quality assurance settings. However, no studies to date have investigated this topic. In this study, nearinfrared spectra (1000–2500 nm) were collected from chocolate-coated peanuts and chocolate-coated sultanas (n = 170 of each) in order to investigate the prospect of non-invasively detecting the composition of the centre. Principal component analysis confirmed that the spectra of these samples were distinct from one another. The partial least squares discriminant analysis (PLS-DA) model showed a high level of separation between chocolate-coated peanuts and sultanas in the training set (R2 = 0.95; RPD = 4.4). Discrimination between peanut and sultana samples from an independent test set was also possible, although with slightly less distinct separation between the sample types. A soft independent modelling by class analogy model was also able to differentiate between the two sample types, albeit with higher levels of misclassification compared to PLS-DA. Incorporating samples from different manufacturers may be useful for improving the broader applicability of the model.

History

Volume

30

Issue

3

Start Page

130

End Page

137

Number of Pages

8

eISSN

1751-6552

ISSN

0967-0335

Publisher

Sage

Language

en

Peer Reviewed

Yes

Open Access

No

Acceptance Date

10/02/2022

Era Eligible

Yes

Journal

Journal of Near Infrared Spectroscopy