Application of Target Partial Least Squares for Analysis of Fourier Transform Infrared—Attenuated Total Reflection Hyperspectral Images for Characterization of the Distribution of Crop Protection Products on the Leaf Surface

Abstract

Target partial least squares (PLS) is applied to Fourier transform infrared–attenuated total reflection (FT-IR-ATR) hyperspectral images of plant leaf surface treated with crop protection products. Detection of active ingredient is demonstrated at application rates of 50 g active ingredient per hectare. This sensitivity could not be achieved without the application of multivariate analysis. Quantitative information appears to be easily recovered through analysis of combined images with known and unknown amounts of active ingredient.

Keywords

Hyperspectral imaging Chemometrics Partial least squares PLS Target PLS Attenuated total reflection ATR Fourier transform infrared spectroscopy FT-IR spectroscopy Crop protection chemicals

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References

Burka

E. M.

and Curbelo

, US Patent 6,141,100 (2000).

Sommer

A. J.

Tisinger

L. G.

Marcott

and Story

G. M

, Appl. Spectrosc. 55, 252 (2001).

Chan

Andrew K. L.

and Kazarian

S. G

, Appl. Spectrosc. 62, 1095 (2008), and references therein.

Bojko

Roux

and Reedy

B. J

, J. Forensic Sci. 53, 1458 (2008).

Sasaki

Kawata

and Minami

, J. Opt. Soc. Am. A 6, 73 (1989).

Andrew

J. J.

and Hancewicz

T. M

, Appl. Spectrosc. 52, 797 (1998).

Budevska

B. O.

Sum

S. T.

and Jones

T. J

, Appl. Spectrosc. 57, 124 (2003).

Manne

, Chemom. Intell. Lab. Syst. 27, 89 (1995).

De Juan

and Tauler

, Anal. Chim. Acta 500, 195 (2003).

10.

De Juan

Maeder

Hancewicz

and Tauler

, Chemom. Intell. Lab. Syst. 77, 64 (2005).

11.

De Juan

Maeder

Hancewicz

and Tauler

, J. Chemom. 22, 291 (2008).

12.

Windig

and Guilment

, Anal. Chem. 63, 1425 (1991).

13.

Gallagher

N. B.

Shaver

J. M.

Martin

E. B.

Morris

Wise

B. M.

and Windig

, Chemom. Intell. Lab. Syst., 73, 105 (2004).

14.

Jackson

J. E.

, A User's Guide to Principal Components, Wiley Series in Probability and Mathematical Statistics (John Wiley and Sons, New York, 1991).

15.

Feudale

R. N.

and Brown

S. D

, Chemom. Intell. Lab. Syst. 77, 75 (2005).

16.

Martens

and Naes

, Multivariate Calibration (John Wiley and Sons, New York, 1989), p. 77.

17.

Martens

and Martens

, Multivariate Analysis of Quality (John Wiley and Sons, New York, 2001).

18.

Budevska

B. O.

, “FT-IR Hyperspectral Imaging: Applications and Data Analysis” (Technical Digest of the 2007 Meeting of the Optical Society of America on Fourier Transform Spectroscopy, Hyperspectral Imaging and Sounding of the Environment, FMB4).

19.

Chen

K. L. A.

and Kazarian

S. G

, Appl. Spectrosc. 57, 381 (2003).