Agustika, Dyah K., Mercuriani, Ixora S., Purnomo, Chandra W., Hartono, Sedyo, Triyana, Kuwat, Iliescu, Doina D. and Leeson, Mark S. (2022) Fourier transform infrared spectrum pre-processing technique selection for detecting PYLCV-infected chilli plants. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 278 . 121339. doi:10.1016/j.saa.2022.121339 ISSN 1386-1425.

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Abstract

Pre-processing is a crucial step in analyzing spectra from Fourier transform infrared (FTIR) spectroscopy because it can reduce unwanted noise and enhance system performance. Here, we present the results of pre-processing technique optimization to facilitate the detection of pepper yellow leaf curl virus (PYLCV)-infected chilli plants using FTIR spectroscopy. Optimization of a range of pre-processing techniques was undertaken, namely baseline correction, normalization (standard normal variate, vector, and min–max), and de-noising (Savitzky-Golay (SG) smoothing, 1st and 2 derivatives). The pre-processing was applied to the mid-infrared spectral range (4000 – 400 cm−1) and the biofingerprint region (1800 – 900 cm−1) then the discrete wavelet transform (DWT) was used for dimension reduction. The pre-processed data were then used as an input for classification using a multilayer perceptron neural network, a support vector machine, and linear discriminant analysis. The pre-processing method with the highest classification model accuracy was selected for the further use in the processing. It was seen that only the SG 1st derivative method applied to both wavenumber ranges could produce 100% accuracy. This result was supported by principal component analysis clustering. Thus, we have demonstrated that by using the right pre-processing technique, classification success can be increased, and the process simplified by optimization and minimization of the technique used.

Item Type:	Journal Article
Subjects:	Q Science > QD Chemistry Q Science > QK Botany Q Science > QR Microbiology
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH):	Fourier transform infrared spectroscopy , Plant diseases -- Diagnosis, Hot peppers -- Diseases and pests -- Diagnosis, Plant viruses
Journal or Publication Title:	Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Publisher:	Elsevier BV
ISSN:	1386-1425
Official Date:	5 October 2022
Dates:	Date Event 5 October 2022 Published 7 May 2022 Available 29 April 2022 Accepted 20 December 2021 Submitted
Volume:	278
Number of Pages:	12
Article Number:	121339
DOI:	10.1016/j.saa.2022.121339
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Copyright Holders:	Elsevier B.V.
Date of first compliant deposit:	9 May 2022
Date of first compliant Open Access:	24 May 2022
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID S-2507/LPDP.4/2019 Kementerian Keuangan Republik Indonesia UNSPECIFIED

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