Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology
Moisture content and its distribution is a critical parameter in the production of cereal bars. Inappropriate control of this quality parameter can lead to non-conforming products and excess waste on production lines. In the field of hyperspectral imaging, the search for alternative light sources to...
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| Format: | Article |
| Language: | English |
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IM Publications Open
2022-10-01
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| Series: | Journal of Spectral Imaging |
| Subjects: | |
| Online Access: | https://www.impopen.com/subs/jsi/v11/I11_a10.pdf |
| _version_ | 1828100328661188608 |
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| author | Jaione Echávarri-Dublhán Miriam Alonso-Santamaría Paula Luri-Esplandiú María-José Sáiz-Abajo |
| author_facet | Jaione Echávarri-Dublhán Miriam Alonso-Santamaría Paula Luri-Esplandiú María-José Sáiz-Abajo |
| author_sort | Jaione Echávarri-Dublhán |
| collection | DOAJ |
| description | Moisture content and its distribution is a critical parameter in the production of cereal bars. Inappropriate control of this quality parameter can lead to non-conforming products and excess waste on production lines. In the field of hyperspectral imaging, the search for alternative light sources to stabilised-halogen (cheaper and emitting less heat) is a growing need for the application of this technology in industry. This study compares three different illumination systems for moisture prediction in the visible-near infrared (vis-NIR) range (from 400 nm to 1000 nm). The hyperspectral images were acquired using three illumination systems including two halogen-based systems (stabilised-halogen and conventional-halogen) and an LED-based illumination system. The results showed that halogen-based illumination systems combined with a partial least squares model better predicted moisture in bars. Lower accuracies were obtained when the experiment was performed with an LED-based illumination system, which showed double the error of the halogen-based systems. It was concluded that this is a consequence of the information lost in bands appearing above 850 nm that may be revealing information about the moisture in bars since the second overtone of the water O–H is found at 970 nm. The results demonstrate that conventional halogen-based light systems in the vis-NIR range are a promising method for moisture prediction in cereal bars. |
| first_indexed | 2024-04-11T08:27:52Z |
| format | Article |
| id | doaj.art-4db2d355181a4cf9a084771d61243e65 |
| institution | Directory Open Access Journal |
| issn | 2040-4565 |
| language | English |
| last_indexed | 2024-04-11T08:27:52Z |
| publishDate | 2022-10-01 |
| publisher | IM Publications Open |
| record_format | Article |
| series | Journal of Spectral Imaging |
| spelling | doaj.art-4db2d355181a4cf9a084771d61243e652022-12-22T04:34:40ZengIM Publications OpenJournal of Spectral Imaging2040-45652022-10-0111a1010.1255/jsi.2022.a10Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technologyJaione Echávarri-Dublhán0https://orcid.org/0000-0003-1425-2383Miriam Alonso-Santamaría1Paula Luri-Esplandiú2María-José Sáiz-Abajo3National Centre for Food Technology and Safety (CNTA), Ctra. NA 134, Km 53, 31570 San Adrihán, Navarre, SpainNational Centre for Food Technology and Safety (CNTA), Ctra. NA 134, Km 53, 31570 San Adrihán, Navarre, SpainNational Centre for Food Technology and Safety (CNTA), Ctra. NA 134, Km 53, 31570 San Adrihán, Navarre, SpainNational Centre for Food Technology and Safety (CNTA), Ctra. NA 134, Km 53, 31570 San Adrihán, Navarre, SpainMoisture content and its distribution is a critical parameter in the production of cereal bars. Inappropriate control of this quality parameter can lead to non-conforming products and excess waste on production lines. In the field of hyperspectral imaging, the search for alternative light sources to stabilised-halogen (cheaper and emitting less heat) is a growing need for the application of this technology in industry. This study compares three different illumination systems for moisture prediction in the visible-near infrared (vis-NIR) range (from 400 nm to 1000 nm). The hyperspectral images were acquired using three illumination systems including two halogen-based systems (stabilised-halogen and conventional-halogen) and an LED-based illumination system. The results showed that halogen-based illumination systems combined with a partial least squares model better predicted moisture in bars. Lower accuracies were obtained when the experiment was performed with an LED-based illumination system, which showed double the error of the halogen-based systems. It was concluded that this is a consequence of the information lost in bands appearing above 850 nm that may be revealing information about the moisture in bars since the second overtone of the water O–H is found at 970 nm. The results demonstrate that conventional halogen-based light systems in the vis-NIR range are a promising method for moisture prediction in cereal bars.https://www.impopen.com/subs/jsi/v11/I11_a10.pdfhyperspectralillumination systemsvis-nirspectroscopyclassification accuracylight sourcescereal bars |
| spellingShingle | Jaione Echávarri-Dublhán Miriam Alonso-Santamaría Paula Luri-Esplandiú María-José Sáiz-Abajo Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology Journal of Spectral Imaging hyperspectral illumination systems vis-nir spectroscopy classification accuracy light sources cereal bars |
| title | Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| title_full | Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| title_fullStr | Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| title_full_unstemmed | Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| title_short | Comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| title_sort | comparison of different illumination systems for moisture prediction in cereal bars using hyperspectral imaging technology |
| topic | hyperspectral illumination systems vis-nir spectroscopy classification accuracy light sources cereal bars |
| url | https://www.impopen.com/subs/jsi/v11/I11_a10.pdf |
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