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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 06.12.2017, 00:00 by Umesh AcharyaUmesh Acharya, Phul SubediPhul Subedi, Kerry WalshKerry Walsh
The 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

3

Issue

8

Start Page

524

End Page

533

Number of Pages

10

eISSN

2156-8278

ISSN

2156-8251

Location

United States

Publisher

SciRO.org

Language

en-aus

Peer Reviewed

Yes

Open Access

Yes

External Author Affiliations

Centre for Plant and Water Science; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

Yes

Journal

American journal of analytical chemistry.