ArticleData in brief2026
A dataset for geographical origin identification of tobacco leaves from multiple countries using near-infrared spectroscopy and chemometric analysis.
Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Infrared Spectroscopy for Variety Identification and Authenticity Analysis of Tobacco Samples.Sensors (Basel, Switzerland) · 2026Article
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This dataset comprises 347 complete spectra of tobacco leaves, acquired using an Antaris II Fourier Transform Near-Infrared spectrometer equipped with an integrating sphere diffuse reflectance sampling system. The samples were collected from six countries: Argentina, Brazil, Zimbabwe, the United States, Tanzania, and Zambia. All samples were dried using an FD240 oven (Binder GmbH, Germany), ground using a ZM200 grinder (Retsch GmbH, Germany), and sieved through a 0.250 mm mesh screen. NIR spectra were acquired with the following parameters: a spectral range of 4000-10,000 cm
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