Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples
Near infrared (NIR) spectroscopy is widely used for evaluating quality traits of cereal grains. For evaluating protein content of intact sorghum grains, parallel NIR calibrations were developed using an established benchtop instrumentation (Perten DA-7250) as a baseline to test the efficacy of an ad...
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| Format: | Article |
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MDPI AG
2023-08-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/12/16/3101 |
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| author | Kamaranga H. S. Peiris Scott R. Bean Xiaorong Wu Sarah A. Sexton-Bowser Tesfaye Tesso |
| author_facet | Kamaranga H. S. Peiris Scott R. Bean Xiaorong Wu Sarah A. Sexton-Bowser Tesfaye Tesso |
| author_sort | Kamaranga H. S. Peiris |
| collection | DOAJ |
| description | Near infrared (NIR) spectroscopy is widely used for evaluating quality traits of cereal grains. For evaluating protein content of intact sorghum grains, parallel NIR calibrations were developed using an established benchtop instrumentation (Perten DA-7250) as a baseline to test the efficacy of an adaptive handheld instrument (VIAVI MicroNIR OnSite-W). Spectra were collected from 59 grain samples using both instruments at the same time. Cross-validated calibration models were validated with 33 test samples. The selected calibration model for DA-7250 with a coefficient of determination (R<sup>2</sup>) = 0.98 and a root mean square error of cross validation (RMSECV) = 0.41% predicted the protein content of a test set with R<sup>2</sup> = 0.94, root mean square error of prediction (RMSEP) = 0.52% with a ratio of performance to deviation (RPD) of 4.13. The selected model for the MicroNIR with R<sup>2</sup> = 0.95 and RMSECV = 0.62% predicted the protein content of the test set with R<sup>2</sup> = 0.87, RMSEP = 0.76% with an RPD of 2.74. In comparison, the performance of the DA-7250 was better than the MicroNIR, however, the performance of the MicroNIR was also acceptable for screening intact sorghum grain protein levels. Therefore, the MicroNIR instrument may be used as a potential tool for screening sorghum samples where benchtop instruments are not appropriate such as for screening samples in the field or as a less expensive option compared with benchtop instruments. |
| first_indexed | 2024-03-10T23:56:41Z |
| format | Article |
| id | doaj.art-da5ba5cc56f24e5eb52ce90d562a804a |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T23:56:41Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
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| series | Foods |
| spelling | doaj.art-da5ba5cc56f24e5eb52ce90d562a804a2023-11-19T01:06:55ZengMDPI AGFoods2304-81582023-08-011216310110.3390/foods12163101Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain SamplesKamaranga H. S. Peiris0Scott R. Bean1Xiaorong Wu2Sarah A. Sexton-Bowser3Tesfaye Tesso4Grain Quality and Structure Research Unit, Center for Grain and Animal Health Research, USDA-ARS, Manhattan, KS 66502, USAGrain Quality and Structure Research Unit, Center for Grain and Animal Health Research, USDA-ARS, Manhattan, KS 66502, USAGrain Quality and Structure Research Unit, Center for Grain and Animal Health Research, USDA-ARS, Manhattan, KS 66502, USADepartment of Agronomy, Kansas State University, Manhattan, KS 66506, USADepartment of Agronomy, Kansas State University, Manhattan, KS 66506, USANear infrared (NIR) spectroscopy is widely used for evaluating quality traits of cereal grains. For evaluating protein content of intact sorghum grains, parallel NIR calibrations were developed using an established benchtop instrumentation (Perten DA-7250) as a baseline to test the efficacy of an adaptive handheld instrument (VIAVI MicroNIR OnSite-W). Spectra were collected from 59 grain samples using both instruments at the same time. Cross-validated calibration models were validated with 33 test samples. The selected calibration model for DA-7250 with a coefficient of determination (R<sup>2</sup>) = 0.98 and a root mean square error of cross validation (RMSECV) = 0.41% predicted the protein content of a test set with R<sup>2</sup> = 0.94, root mean square error of prediction (RMSEP) = 0.52% with a ratio of performance to deviation (RPD) of 4.13. The selected model for the MicroNIR with R<sup>2</sup> = 0.95 and RMSECV = 0.62% predicted the protein content of the test set with R<sup>2</sup> = 0.87, RMSEP = 0.76% with an RPD of 2.74. In comparison, the performance of the DA-7250 was better than the MicroNIR, however, the performance of the MicroNIR was also acceptable for screening intact sorghum grain protein levels. Therefore, the MicroNIR instrument may be used as a potential tool for screening sorghum samples where benchtop instruments are not appropriate such as for screening samples in the field or as a less expensive option compared with benchtop instruments.https://www.mdpi.com/2304-8158/12/16/3101sorghumproteinNIR spectroscopyhandheld spectrometerinstrument comparison |
| spellingShingle | Kamaranga H. S. Peiris Scott R. Bean Xiaorong Wu Sarah A. Sexton-Bowser Tesfaye Tesso Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples Foods sorghum protein NIR spectroscopy handheld spectrometer instrument comparison |
| title | Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples |
| title_full | Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples |
| title_fullStr | Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples |
| title_full_unstemmed | Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples |
| title_short | Performance of a Handheld MicroNIR Instrument for Determining Protein Levels in Sorghum Grain Samples |
| title_sort | performance of a handheld micronir instrument for determining protein levels in sorghum grain samples |
| topic | sorghum protein NIR spectroscopy handheld spectrometer instrument comparison |
| url | https://www.mdpi.com/2304-8158/12/16/3101 |
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