Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy
For successful development of new amaranth varieties, it is important to find inexpensive and rapid analysis methods for the measurement of proximate, fatty acid, mineral content, and proline level in seeds. In this study, calibration equations in NIR spectroscopy were developed to estimate for...
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
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| Online Access: | http://journalarticle.ukm.my/20875/ http://journalarticle.ukm.my/20875/1/17.pdf |
| _version_ | 1848815219054215168 |
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| author | Oluk, Aylin Celile |
| author_facet | Oluk, Aylin Celile |
| author_sort | Oluk, Aylin Celile |
| building | UKM Institutional Repository |
| collection | Online Access |
| description | For successful development of new amaranth varieties, it is important to find inexpensive and rapid analysis methods
for the measurement of proximate, fatty acid, mineral content, and proline level in seeds. In this study, calibration
equations in NIR spectroscopy were developed to estimate for the fatty acid, mineral content and proline level of
amaranth using the modified partial least squares (MPLS) regression method. The calibrations estimated by NIR
spectroscopy were consistent with the correlations between reference values at external validation. The equations
developed were evaluated based on the relative estimate determination results for external validation (RPDv). The
equations for total protein (RPDv = 2.967), fat (RPDv = 4.396), Zn (RPDv = 3.668), proline (RPDv = 6.692), oleic acid
(RPDv = 3.366) and linoleic acid (RPDv = 2.086) showed high accuracy, while the equations for ash (RPDv = 1.675)
and Fe (RPDv = 1.565) showed relatively high accuracy. When calculated with the same validation factors, the level
of Ca (RPDv = 0.268), palmitic acid (RPDv = 1.434), stearic acid (RPDv = 0.949), linolenic acid (RPDv = 1.244) and
arachidic acid (RPDv = 0.402) were lower than the estimated value. Protein, oil, ash, Fe, Zn, proline, oleic acid and
linoleic acid can be used as reliable users, while equations developed for Ca, palmitic acid, stearic acid, linolenic acid
and arachidic acid can be reliably used to screen samples for amaranth breeding programmes. |
| first_indexed | 2025-11-15T00:46:30Z |
| format | Article |
| id | oai:generic.eprints.org:20875 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T00:46:30Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org:208752022-12-28T06:07:39Z http://journalarticle.ukm.my/20875/ Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy Oluk, Aylin Celile For successful development of new amaranth varieties, it is important to find inexpensive and rapid analysis methods for the measurement of proximate, fatty acid, mineral content, and proline level in seeds. In this study, calibration equations in NIR spectroscopy were developed to estimate for the fatty acid, mineral content and proline level of amaranth using the modified partial least squares (MPLS) regression method. The calibrations estimated by NIR spectroscopy were consistent with the correlations between reference values at external validation. The equations developed were evaluated based on the relative estimate determination results for external validation (RPDv). The equations for total protein (RPDv = 2.967), fat (RPDv = 4.396), Zn (RPDv = 3.668), proline (RPDv = 6.692), oleic acid (RPDv = 3.366) and linoleic acid (RPDv = 2.086) showed high accuracy, while the equations for ash (RPDv = 1.675) and Fe (RPDv = 1.565) showed relatively high accuracy. When calculated with the same validation factors, the level of Ca (RPDv = 0.268), palmitic acid (RPDv = 1.434), stearic acid (RPDv = 0.949), linolenic acid (RPDv = 1.244) and arachidic acid (RPDv = 0.402) were lower than the estimated value. Protein, oil, ash, Fe, Zn, proline, oleic acid and linoleic acid can be used as reliable users, while equations developed for Ca, palmitic acid, stearic acid, linolenic acid and arachidic acid can be reliably used to screen samples for amaranth breeding programmes. Penerbit Universiti Kebangsaan Malaysia 2022-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/20875/1/17.pdf Oluk, Aylin Celile (2022) Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy. Sains Malaysiana, 51 (10). pp. 3321-3332. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid51bil10_2022/KandunganJilid51Bil10_2022.html |
| spellingShingle | Oluk, Aylin Celile Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title | Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title_full | Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title_fullStr | Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title_full_unstemmed | Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title_short | Estimation of proximate, fatty acid, mineral content and proline level in Amaranth using near infrared reflectance spectroscopy |
| title_sort | estimation of proximate, fatty acid, mineral content and proline level in amaranth using near infrared reflectance spectroscopy |
| url | http://journalarticle.ukm.my/20875/ http://journalarticle.ukm.my/20875/ http://journalarticle.ukm.my/20875/1/17.pdf |