Application of Near Infrared Spectroscopy Combined With Multivariate Analysis for Screening Foliar Main Essential Oil Components in Bay Laurel

Prediction of total extracted oil and major terpenes in leaves of Kunzea ambigua using near infrared reflectance spectroscopy

“…In contrast, the SD of α-pinene was much higher at 2.67 mg/g DW, perhaps reflecting the variability that may be expected for a wider data set from 0 to 15 mg/g DW (Supplementary Figure 3). The SD values of the GC data measured in this study appear to be similar to those published in previous papers that evaluated NIR predictive models for essential oil yield 15,18 and individual plant terpenes in heterogeneous samples. 11,17,18 Regardless, if improved accuracy is required, future models could potentially solely target the abaxial surface though this may be challenging in the field, as well as increase sampling to consider seasonal effects, in addition to variation due to K. ambigua chemotypes.…”

“…basil 7,8 ) and perennial species. [8][9][10] The majority of NIR studies have developed robust partial least square (PLS) regression models to allow quantification and identification of terpenoids of the extracted oil itself, [11][12][13][14] from pelleted 8,10 and dried and ground samples, [5][6][7][8][9][10][11][12][13][14][15][16][17][18] However, fewer NIR studies have been reported for intact fresh or dried samples for terpenoid analysis (e.g. dried leaves of Salvia officinalis 19 ; dried flower buds of Egletes viscosa 20 ; fresh Pinus radiata needles and bark 10 ).…”