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Sains Malaysiana 51(10)(2022):
http://doi.org/10.17576/jsm-2022-5110-17
Estimation of Proximate, Fatty
Acid, Mineral Content and Proline Level in Amaranth using Near Infrared
Reflectance Spectroscopy
(Anggaran Proksimat, Asid Lemak, Kandungan Mineral dan Tahap Prolin dalam Amaranth menggunakan Spektroskopi Pemantulan Inframerah Dekat)
AYLIN
CELILE OLUK*
Eastern
Mediterranean Agricultural Research Institute, Yüregir,
Adana, Turkey
Diterima: 8 Oktober 2021/Diserahkan: 18 Mei
2022
Abstract
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.
Keywords: Calibration; fatty
acids; minerals; near-ınfrared reflectance spectroscopy; proline
AbstraK
Bagi mencapai kejayaan pembangunan varieti amaranth baru, adalah penting untuk mencari kaedah analisis yang murah dan pantas untuk pengukuran proksimat, asid lemak, kandungan mineral dan tahap prolin dalam benih. Dalam kajian ini, persamaan penentukuran spektroskopi NIR telah dibangunkan untuk menganggar asid lemak, kandungan mineral dan tahap prolin amaranth menggunakan kaedah regresi separa terkecil (MPLS) yang terubah suai. Penentukuran yang dianggarkan oleh spektroskopi NIR adalah tekal dengan korelasi antara nilai rujukan pada pengesahan luaran. Persamaan yang dibangunkan telah dinilai berdasarkan keputusan penentuan anggaran relatif untuk pengesahan luaran (RPDv). Persamaan untuk jumlah protein (RPDv = 2.967),
lemak (RPDv = 4.396), Zn (RPDv = 3.668), prolin (RPDv =
6.692), asid oleik (RPDv = 3.366) dan asid linoleik (RPDv = 2.086) menunjukkan ketepatan yang tinggi manakala persamaan untuk abu (RPDv = 1.675) dan Fe (RPDv = 1.565) menunjukkan ketepatan yang agak tinggi. Apabila dihitung dengan faktor pengesahan yang sama, paras Ca (RPDv = 0.268), asid palmitik (RPDv = 1.434), asid stearik (RPDv = 0.949), asid linolenik (RPDv = 1.244) dan asid arakidik (RPDv = 0.402) adalah lebih rendah daripada nilai anggaran. Protein, minyak, abu, Fe, Zn, prolin, asid oleik dan asid linoleik boleh digunakan sebagai pengguna yang boleh dipercayai, manakala persamaan yang dibangunkan untuk Ca, asid palmitik, asid stearik, asid linolenik dan asid arakidik boleh digunakan dengan pasti untuk menyaring sampel untuk program pembiakan amaranth.
Kata kunci: Asid lemak; mineral; penentukuran; prolin; spektroskopi pemantulan inframerah dekat
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*Pengarang untuk surat-menyurat; email: celileaylin.oluk@tarimorman.gov.tr
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