Predicting tea tree oil distillate composition using portable spectrometric technology. (26th January 2022)
- Record Type:
- Journal Article
- Title:
- Predicting tea tree oil distillate composition using portable spectrometric technology. (26th January 2022)
- Main Title:
- Predicting tea tree oil distillate composition using portable spectrometric technology
- Authors:
- Gloerfelt‐Tarp, Francine
Mieog, Jos C.
Bigland, Mark
Wheeler, Simon
Palmer, William M.
Kretzschmar, Tobias - Abstract:
- Abstract: Commercial tea tree oil (TTO) has to conform chemically to the international standard ISO4730: 2017, which defines acceptable ranges for the 15 main terpenoids therein. Lack of in‐house capacity for the technology typically required for terpenoid quantification (GC‐FID) necessitates that Australian TTO producers outsource the analyses to commercial service providers. This is associated with high cost and slow turnaround times, which have been recognized as limiting factors for TTO process optimization in the areas of quality assurance, distillation and blending. This paper describes the testing of two custom portable Raman devices with different lasers (785 and 1064 nm) for the relative quantification of the 15 main TTO components using model‐based predictions. Initial testing showed that the 1064‐nm device provided superior data for TTO predictions. Machine‐learning algorithms were trained with spectral data from the 1064‐nm device and corresponding GC‐FID data from 214 TTO samples. Hold‐over validation (HV) correlations between actual and predicted values using up to 53 unseen samples showed r 2 at or above 0.92 for 10 and at or above 0.95 for 6 of the 15 specified terpenoids. The highly abundant key TTO quality compound terpinen‐4‐ol showed an HV r 2 of 0.96 with a root mean square error (RMSE) of 0.37%, whereas the lowly abundant key compound 1, 8‐cineole showed an HV r 2 of 1.00 with a RMSE of 0.13%. These results indicated a strong potential for RamanAbstract: Commercial tea tree oil (TTO) has to conform chemically to the international standard ISO4730: 2017, which defines acceptable ranges for the 15 main terpenoids therein. Lack of in‐house capacity for the technology typically required for terpenoid quantification (GC‐FID) necessitates that Australian TTO producers outsource the analyses to commercial service providers. This is associated with high cost and slow turnaround times, which have been recognized as limiting factors for TTO process optimization in the areas of quality assurance, distillation and blending. This paper describes the testing of two custom portable Raman devices with different lasers (785 and 1064 nm) for the relative quantification of the 15 main TTO components using model‐based predictions. Initial testing showed that the 1064‐nm device provided superior data for TTO predictions. Machine‐learning algorithms were trained with spectral data from the 1064‐nm device and corresponding GC‐FID data from 214 TTO samples. Hold‐over validation (HV) correlations between actual and predicted values using up to 53 unseen samples showed r 2 at or above 0.92 for 10 and at or above 0.95 for 6 of the 15 specified terpenoids. The highly abundant key TTO quality compound terpinen‐4‐ol showed an HV r 2 of 0.96 with a root mean square error (RMSE) of 0.37%, whereas the lowly abundant key compound 1, 8‐cineole showed an HV r 2 of 1.00 with a RMSE of 0.13%. These results indicated a strong potential for Raman spectrometry to provide real‐time product quality data at TTO distillation sites enabling direct feedback control and process optimisations. Abstract : Accurate calibrations for all ISO‐relevant tea tree terpenoids provide an affordable and versatile tool for quality control and process optimization to the essential oil industry. … (more)
- Is Part Of:
- Journal of Raman spectroscopy. Volume 53:Number 4(2022)
- Journal:
- Journal of Raman spectroscopy
- Issue:
- Volume 53:Number 4(2022)
- Issue Display:
- Volume 53, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 53
- Issue:
- 4
- Issue Sort Value:
- 2022-0053-0004-0000
- Page Start:
- 771
- Page End:
- 784
- Publication Date:
- 2022-01-26
- Subjects:
- chemometrics -- essential oil production -- Melaleuca alternifolia -- Raman spectroscopy -- tea tree oil quality
Raman spectroscopy -- Periodicals
535.846 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/jrs.6308 ↗
- Languages:
- English
- ISSNs:
- 0377-0486
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5045.600000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 27010.xml