APPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL COMPONENTS IN BAY LAUREL
[ N/A ]
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Soc Brasil Engenharia Agricola
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Ground bay laurel leaf samples (10-15 g) were scanned using Fourier-transform nearinfrared (FT-NIR) spectrometer with reflectance mode in the 1000-2500 nm wavelength range. According to the wet chemical analyses, the essential oil content of the samples from different locations varied between 1.77 and 5.30%. The major component of essential oil was 1-8 cineole with a concentration of 43.4-58.1%. The regression coefficients of calibration (R-C(AL))2 and validation (R-VAL(2)) for essential oil and 1-8 cineol content with partial least square regression (PLSR) actualized as 0.96-0.98 and 0.98-0.98, respectively. The prediction accuracy of the final NIRS model was reasonable, with acceptable root mean standard errors of prediction (RMSEP) of 0.18% and 0.45%. According to the residual predictive deviation (RPD) index (3.58 and 8.41), the accuracy of the NIRS models was regarded as the best. The PLSR model differentiated bay laurel genotypes very well on the first principal component (PC1), based on the related properties.
Açıklama
Anahtar Kelimeler
NIRS prediction, Laurus nobilis L., 1-8 cineol, PLSR
Kaynak
Engenharia Agricola
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
42
Sayı
2
