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Evaluation of a dry extract system involving NIR Spectroscopy (DESIR) for rapid assessment of pesticide contamination of fruit surfaces
journal contribution
posted on 2017-12-06, 00:00 authored by Umesh AcharyaUmesh Acharya, Phul SubediPhul Subedi, Kerry WalshKerry WalshThe dry-extract system for (near) infrared (DESIR) technique was implemented using reflectance near-infrared spectroscopy in context of detection of contact pesticide residues on fruit. Based on chemical structure, spectra features and regression statistics for PLSR models, a product containing metiram and pyraclostrobin was chosen from six pesticides for further consideration. Regression models based on spectra of dry extracts of aqueous solutions and either acetone or water washes of contaminated fruit were encouraging (RMSECV of approximately 0.03 - 0.06 mg a.i.). This level of analytical performance would support the use of the technique as a rapid screening tool, with suspect samples then subject to the reference GC-MS analysis method. However, the PLSR model performance was poor across populations of fruit, suggesting that matrix changes in the solvent wash between sets of fruit is problematic. Further work is required to establish whether sufficient variation can be built into a calibration set to overcome this issue, without degrading model performance to the point where it loses practical application.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Volume
3Issue
8Start Page
524End Page
533Number of Pages
10eISSN
2156-8278ISSN
2156-8251Location
United StatesPublisher
SciRO.orgFull Text URL
Language
en-ausPeer Reviewed
- Yes
Open Access
- Yes
External Author Affiliations
Centre for Plant and Water Science; Institute for Resource Industries and Sustainability (IRIS);Era Eligible
- Yes