Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers
The aim of this study was to test the predictability of a detailed mineral profile of beef using different portable near-infrared spectrometers (NIRS). These devices are rapid, chemical waste-free, cheap, nondestructive tools that can be used directly on the meat surface in the work environment with...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/9/10/1389 |
| _version_ | 1797552085827321856 |
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| author | Nageshvar Patel Hugo Toledo-Alvarado Alessio Cecchinato Giovanni Bittante |
| author_facet | Nageshvar Patel Hugo Toledo-Alvarado Alessio Cecchinato Giovanni Bittante |
| author_sort | Nageshvar Patel |
| collection | DOAJ |
| description | The aim of this study was to test the predictability of a detailed mineral profile of beef using different portable near-infrared spectrometers (NIRS). These devices are rapid, chemical waste-free, cheap, nondestructive tools that can be used directly on the meat surface in the work environment without the need to take samples. We compared a transportable Visible-NIRS (weight 5.6 kg; wavelength 350–1830 nm), a portable NIRS (2.0 kg; 950–1650 nm), and a hand-held Micro-NIRS (0.06 kg; 905–1649 nm) to predict the contents of 20 minerals (measured by ICP-OES) in 178 beef samples (<i>Longissimus thoracis</i> muscle) using different mathematical pretreatments of the spectra and partial least square regressions. The externally validated results show that Fe, P, Mg, S, Na, and Pb have some potential for prediction with all instruments (<i>R</i><sup>2</sup><sub>VAL</sub>: 0.40–0.83). Overall, the prediction performances of the three instruments were similar, although the smallest (Micro-NIRS) exhibited certain advantages. |
| first_indexed | 2024-03-10T15:54:57Z |
| format | Article |
| id | doaj.art-611f7f22654c42dbb0e8355fd971b24c |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T15:54:57Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-611f7f22654c42dbb0e8355fd971b24c2023-11-20T15:47:23ZengMDPI AGFoods2304-81582020-10-01910138910.3390/foods9101389Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) SpectrometersNageshvar Patel0Hugo Toledo-Alvarado1Alessio Cecchinato2Giovanni Bittante3Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, ItalyDepartment of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, ItalyDepartment of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, ItalyDepartment of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE), University of Padova, 35020 Legnaro, ItalyThe aim of this study was to test the predictability of a detailed mineral profile of beef using different portable near-infrared spectrometers (NIRS). These devices are rapid, chemical waste-free, cheap, nondestructive tools that can be used directly on the meat surface in the work environment without the need to take samples. We compared a transportable Visible-NIRS (weight 5.6 kg; wavelength 350–1830 nm), a portable NIRS (2.0 kg; 950–1650 nm), and a hand-held Micro-NIRS (0.06 kg; 905–1649 nm) to predict the contents of 20 minerals (measured by ICP-OES) in 178 beef samples (<i>Longissimus thoracis</i> muscle) using different mathematical pretreatments of the spectra and partial least square regressions. The externally validated results show that Fe, P, Mg, S, Na, and Pb have some potential for prediction with all instruments (<i>R</i><sup>2</sup><sub>VAL</sub>: 0.40–0.83). Overall, the prediction performances of the three instruments were similar, although the smallest (Micro-NIRS) exhibited certain advantages.https://www.mdpi.com/2304-8158/9/10/1389micro-nutrientstrace and environmental elementsportable NIR instrumentsnear infrared absorbancechemometrics |
| spellingShingle | Nageshvar Patel Hugo Toledo-Alvarado Alessio Cecchinato Giovanni Bittante Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers Foods micro-nutrients trace and environmental elements portable NIR instruments near infrared absorbance chemometrics |
| title | Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers |
| title_full | Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers |
| title_fullStr | Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers |
| title_full_unstemmed | Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers |
| title_short | Predicting the Content of 20 Minerals in Beef by Different Portable Near-Infrared (NIR) Spectrometers |
| title_sort | predicting the content of 20 minerals in beef by different portable near infrared nir spectrometers |
| topic | micro-nutrients trace and environmental elements portable NIR instruments near infrared absorbance chemometrics |
| url | https://www.mdpi.com/2304-8158/9/10/1389 |
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