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Evaluation of partial least-squares regression with multivariate analytical figures of merit for determination of 10 pesticides in milk

Koleini, F ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1080/03067319.2020.1745198
  3. Publisher: Taylor and Francis Ltd , 2020
  4. Abstract:
  5. A multi-residue method using gas chromatography coupled with flame ionisation detector has been developed for simultaneous determination of 10 pesticides in milk. The methodology involved a sample clean-up procedure using ‘quick, easy, cheap, effective, rugged and safe’ followed by a preconcentration step based on dispersive liquid–liquid microextraction. In this regard, acetonitrile was added to the milk sample with specific pH and ionic strength, and the mixture was rigorously shaken. The extracts were centrifuged; then, the organic phase (acetonitrile) was transferred to a test tube and was mixed with deionised water. The mixture was sonicated and chloroform was added as an acceptor phase in an ultrasonic bath. Partial least squares (PLS) regression has been utilised to build a multivariate calibration model in the concentration range of 0.5–100 ng mL−1 and then multivariate analytical figures of merit including sensitivity, analytical sensitivity, limit of detection and limit of quantitation were calculated for PLS model. The values of relative recovery (RR) and relative standard deviation were satisfactory (77.69–147.69% and 1.6–9.7%, respectively). Method validation was performed in accordance with European Union guidelines. The European Union criteria (RR 70–120%, relative standard deviation <20%) were met for the majority of pesticides. The limits of detection and limits of quantitation ranged from 4.16–27.41 ng mL−1 to 11.89–82.23 ng mL−1, respectively. The above method was successfully applied to the analysis of milk samples. Pesticide concentration in real-milk samples (2.49–10.48 ng mL−1) was compared with the maximum residue limits. It is concluded that this comprehensive chemometric-based strategy is a reliable and easy method for the determination of pesticides in milk. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group
  6. Keywords:
  7. Dispersive liquid-liquid microextraction ; Milk ; QuEChERS ; Acetonitrile ; Chlorine compounds ; Deionized water ; Gas chromatography ; Ionic strength ; Least squares approximations ; Liquid chromatography ; Liquids ; Mixtures ; Multivariable systems ; Pesticides ; Statistics ; Ultrasonic applications ; Chemometrics ; Multivariate calibration ; Extraction
  8. Source: International Journal of Environmental Analytical Chemistry ; March , 2020
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/03067319.2020.1745198?journalCode=geac20