Assessment of bioactive compounds in faba bean using infrared spectroscopy
Abstract Faba bean (Vicia faba) is growing in popularity in Australia, partly due to its higher levels of health‐benefiting compounds compared to other grain crops. This study investigated infrared spectroscopy for predicting levels of bioactive compounds such as antioxidants and phenolics in faba b...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-12-01
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| Series: | Legume Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/leg3.203 |
| _version_ | 1797371954748981248 |
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| author | Joel B. Johnson Kerry B. Walsh Mani Naiker |
| author_facet | Joel B. Johnson Kerry B. Walsh Mani Naiker |
| author_sort | Joel B. Johnson |
| collection | DOAJ |
| description | Abstract Faba bean (Vicia faba) is growing in popularity in Australia, partly due to its higher levels of health‐benefiting compounds compared to other grain crops. This study investigated infrared spectroscopy for predicting levels of bioactive compounds such as antioxidants and phenolics in faba bean flour. Calibration models were performed on 60 samples of faba bean, comprising 10 varieties grown across two field locations in 1 year. For model validation, an independent test set comprising the same varieties grown in a different year was utilised. Near‐infrared spectroscopy (NIRS) showed promise for the prediction of total phenolic content, with an R2pred of 0.66 and root mean square error of prediction (RMSEP) of 76 mg/100 g. Similarly, prediction of ferric reducing antioxidant power, a measure of antioxidant activity, gave an R2pred of 0.59 and RMSEP of 87 mg/100 g. Additionally, moving window optimisation was used to determine the most important wavelength region for the prediction of these analytes. Fourier transform infrared spectroscopy did not yield any suitable models for the analytes investigated. Although the NIRS models developed were not capable of exactly quantifying phenolic or antioxidant content, infrared spectroscopy appears useful for rapidly discriminating between samples containing high and low levels of phenolics or antioxidant compounds. With further refinement, this technique could potentially be applied for the quality assurance of phenolic content or antioxidant capacity in faba bean seeds. |
| first_indexed | 2024-03-08T18:28:19Z |
| format | Article |
| id | doaj.art-0742c920ea97449fbb2bf664105b7532 |
| institution | Directory Open Access Journal |
| issn | 2639-6181 |
| language | English |
| last_indexed | 2024-03-08T18:28:19Z |
| publishDate | 2023-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | Legume Science |
| spelling | doaj.art-0742c920ea97449fbb2bf664105b75322023-12-30T05:23:32ZengWileyLegume Science2639-61812023-12-0154n/an/a10.1002/leg3.203Assessment of bioactive compounds in faba bean using infrared spectroscopyJoel B. Johnson0Kerry B. Walsh1Mani Naiker2School of Health, Medical and Applied Sciences Central Queensland University North Rockhampton Queensland AustraliaSchool of Health, Medical and Applied Sciences Central Queensland University North Rockhampton Queensland AustraliaSchool of Health, Medical and Applied Sciences Central Queensland University North Rockhampton Queensland AustraliaAbstract Faba bean (Vicia faba) is growing in popularity in Australia, partly due to its higher levels of health‐benefiting compounds compared to other grain crops. This study investigated infrared spectroscopy for predicting levels of bioactive compounds such as antioxidants and phenolics in faba bean flour. Calibration models were performed on 60 samples of faba bean, comprising 10 varieties grown across two field locations in 1 year. For model validation, an independent test set comprising the same varieties grown in a different year was utilised. Near‐infrared spectroscopy (NIRS) showed promise for the prediction of total phenolic content, with an R2pred of 0.66 and root mean square error of prediction (RMSEP) of 76 mg/100 g. Similarly, prediction of ferric reducing antioxidant power, a measure of antioxidant activity, gave an R2pred of 0.59 and RMSEP of 87 mg/100 g. Additionally, moving window optimisation was used to determine the most important wavelength region for the prediction of these analytes. Fourier transform infrared spectroscopy did not yield any suitable models for the analytes investigated. Although the NIRS models developed were not capable of exactly quantifying phenolic or antioxidant content, infrared spectroscopy appears useful for rapidly discriminating between samples containing high and low levels of phenolics or antioxidant compounds. With further refinement, this technique could potentially be applied for the quality assurance of phenolic content or antioxidant capacity in faba bean seeds.https://doi.org/10.1002/leg3.203antioxidant capacityanti‐nutritional factorsbioactive compoundsfaba beanphenolics |
| spellingShingle | Joel B. Johnson Kerry B. Walsh Mani Naiker Assessment of bioactive compounds in faba bean using infrared spectroscopy Legume Science antioxidant capacity anti‐nutritional factors bioactive compounds faba bean phenolics |
| title | Assessment of bioactive compounds in faba bean using infrared spectroscopy |
| title_full | Assessment of bioactive compounds in faba bean using infrared spectroscopy |
| title_fullStr | Assessment of bioactive compounds in faba bean using infrared spectroscopy |
| title_full_unstemmed | Assessment of bioactive compounds in faba bean using infrared spectroscopy |
| title_short | Assessment of bioactive compounds in faba bean using infrared spectroscopy |
| title_sort | assessment of bioactive compounds in faba bean using infrared spectroscopy |
| topic | antioxidant capacity anti‐nutritional factors bioactive compounds faba bean phenolics |
| url | https://doi.org/10.1002/leg3.203 |
| work_keys_str_mv | AT joelbjohnson assessmentofbioactivecompoundsinfababeanusinginfraredspectroscopy AT kerrybwalsh assessmentofbioactivecompoundsinfababeanusinginfraredspectroscopy AT maninaiker assessmentofbioactivecompoundsinfababeanusinginfraredspectroscopy |