4.6 Article

Detection of Profenofos in Chinese Kale, Cabbage, and Chili Spur Pepper Using Fourier Transform Near-Infrared and Fourier Transform Mid-Infrared Spectroscopies

Journal

ACS OMEGA
Volume 6, Issue 40, Pages 26404-26415

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsomega.1c03674

Keywords

-

Funding

  1. Research and Researchers for Industry Program (RRI) under the Thailand Research Fund [PHD58I0035]
  2. Thai President Foods Public Company Limited (Thailand)
  3. Center for Advanced Studies for Agriculture and Food [CASAF175]
  4. Institute for Advanced Studies, Kasetsart University, Bangkok, Thailand under the Higher Education Research Promotion
  5. National Research University Project of Thailand, Office of the Higher Education Commission, Ministry of Education, Thailand

Ask authors/readers for more resources

Quantitative technologies based on infrared spectroscopy were compared for profenofos detection, with FT-NIR-PLSR and FT-MIR-PLSR showing the best prediction of profenofos residues. The ease of use and appropriate sample preparation make FT-NIR-PLSR combined with DESIR a promising screening method for pesticide detection in vegetables.
Different types of quantitative technology based on infrared spectroscopy to detect profenofos were compared based on Fourier transform near-infrared (FT-NIR; 12,500-4000 cm(-1)) and Fourier transform mid-infrared (FT-MIR; 4000-400 cm(-1)) spectroscopies. Standard solutions in the range of 0.1-100 mg/L combined with the dry-extract system for infrared (DESIR) technique were analyzed. Based on partial least-squares regression (PLSR) to develop a calibration equation, FT-NIR-PLSR produced the best prediction of profenofos residues based on the values for R-2 (0.87), standard error of prediction or SEP (11.68 mg/L), root-mean-square error of prediction or RMSEP (11.50 mg/L), bias (-0.81 mg/L), and ratio performance to deviation or RPD (2.81). In addition, FT-MIR-PLSR produced the best prediction of profenofos residues based on the values for R-2 (0.83), SEP (13.10 mg/L), RMSEP (13.00 mg/L), bias (1.46 mg/L), and RPD (2.49). Based on the ease of use and appropriate sample preparation, FT-NIR-PLSR combined with DESIR was chosen to detect profenofos in Chinese kale, cabbage, and chili spur pepper at concentrations of 0.53-106.28 mg/kg. The quick, easy, cheap, effective, rugged, and safe technique coupled with gas chromatography-mass spectrometry was used to obtain the actual values. The best FT-NIR-PLSR equation provided good profenofos detection in all vegetables based on values for R-2 (0.88-0.97), SEP (5.27-11.07 mg/kg), RMSEP (5.25-11.00 mg/kg), bias (-1.39 to 1.30 mg/kg), and RPD (2.91-5.22). These statistics revealed no significant differences between the FT-NIR predicted values and actual values at a confidence interval of 95%, with agreeable results presented at pesticide residue levels over 30 mg/kg. FT-NIR spectroscopy combined with DESIR and PLSR should be considered as a promising screening method for pesticide detection in vegetables.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available