Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement

By focusing our attention on nitrogen components in plants, which are important for cultivation management in data-driven agriculture, we developed a simple, rapid, non-chemical and simultaneous quantification method for proteinic and nitrate nitrogen in a leaf model based on near-infrared (NIR) spe...

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Main Authors: Atsushi Hashimoto, Ken-ichiro Suehara, Takaharu Kameoka
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/4/1160
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author Atsushi Hashimoto
Ken-ichiro Suehara
Takaharu Kameoka
author_facet Atsushi Hashimoto
Ken-ichiro Suehara
Takaharu Kameoka
author_sort Atsushi Hashimoto
collection DOAJ
description By focusing our attention on nitrogen components in plants, which are important for cultivation management in data-driven agriculture, we developed a simple, rapid, non-chemical and simultaneous quantification method for proteinic and nitrate nitrogen in a leaf model based on near-infrared (NIR) spectroscopic information obtained using a compact Fourier Transform NIR (FT-NIR) spectrometer. The NIR spectra of wet leaf models impregnated with a protein–nitric acid mixed solution and a dry leaf model obtained by drying filter paper were acquired. For spectral acquisition, a compact MEMS (Micro Electro Mechanical Systems) FT-NIR spectrometer equipped with a diffuse reflectance probe accessory was used. Partial least square regression analysis was performed using the spectral information of the extracted absorption bands based on the determination coefficients between the spectral absorption intensities and the contents of the two-dimensional spectral analysis between NIR and mid-infrared spectral information. Proteinic nitrogen content in the dry leaf model was well predicted using the MEMS FT-NIR spectroscopic method. Additionally, nitrate nitrogen in the dry leaf model was also determined by the provided method, but the necessity of adding the data for a wider range of nitric acid concentrations was experimentally indicated for the prediction of nitrate nitrogen content in the wet leaf model. Consequently, these results experimentally suggest the possibility of the application of the compact MEMS FT-NIR for obtaining the bioinformation of crops at agricultural on-sites.
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spelling doaj.art-7589f2a466e64bff8254e15f5c3af0ac2024-02-23T15:33:43ZengMDPI AGSensors1424-82202024-02-01244116010.3390/s24041160Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic MeasurementAtsushi Hashimoto0Ken-ichiro Suehara1Takaharu Kameoka2Graduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu 514-8507, JapanGraduate School of Regional Innovation Studies, Mie University, 1577 Kurimamachiya-cho, Tsu 514-8507, JapanGraduate School of Bioresources, Mie University, 1577 Kurimamachiya-cho, Tsu 514-8507, JapanBy focusing our attention on nitrogen components in plants, which are important for cultivation management in data-driven agriculture, we developed a simple, rapid, non-chemical and simultaneous quantification method for proteinic and nitrate nitrogen in a leaf model based on near-infrared (NIR) spectroscopic information obtained using a compact Fourier Transform NIR (FT-NIR) spectrometer. The NIR spectra of wet leaf models impregnated with a protein–nitric acid mixed solution and a dry leaf model obtained by drying filter paper were acquired. For spectral acquisition, a compact MEMS (Micro Electro Mechanical Systems) FT-NIR spectrometer equipped with a diffuse reflectance probe accessory was used. Partial least square regression analysis was performed using the spectral information of the extracted absorption bands based on the determination coefficients between the spectral absorption intensities and the contents of the two-dimensional spectral analysis between NIR and mid-infrared spectral information. Proteinic nitrogen content in the dry leaf model was well predicted using the MEMS FT-NIR spectroscopic method. Additionally, nitrate nitrogen in the dry leaf model was also determined by the provided method, but the necessity of adding the data for a wider range of nitric acid concentrations was experimentally indicated for the prediction of nitrate nitrogen content in the wet leaf model. Consequently, these results experimentally suggest the possibility of the application of the compact MEMS FT-NIR for obtaining the bioinformation of crops at agricultural on-sites.https://www.mdpi.com/1424-8220/24/4/1160infrared spectroscopynitrate nitrogenproteinic nitrogenleaf modelnitrogenFT-NIR
spellingShingle Atsushi Hashimoto
Ken-ichiro Suehara
Takaharu Kameoka
Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
Sensors
infrared spectroscopy
nitrate nitrogen
proteinic nitrogen
leaf model
nitrogen
FT-NIR
title Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
title_full Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
title_fullStr Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
title_full_unstemmed Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
title_short Development of a Simultaneous Quantification Method for Multiple Modes of Nitrogen in Leaf Models Using Near-Infrared Spectroscopic Measurement
title_sort development of a simultaneous quantification method for multiple modes of nitrogen in leaf models using near infrared spectroscopic measurement
topic infrared spectroscopy
nitrate nitrogen
proteinic nitrogen
leaf model
nitrogen
FT-NIR
url https://www.mdpi.com/1424-8220/24/4/1160
work_keys_str_mv AT atsushihashimoto developmentofasimultaneousquantificationmethodformultiplemodesofnitrogeninleafmodelsusingnearinfraredspectroscopicmeasurement
AT kenichirosuehara developmentofasimultaneousquantificationmethodformultiplemodesofnitrogeninleafmodelsusingnearinfraredspectroscopicmeasurement
AT takaharukameoka developmentofasimultaneousquantificationmethodformultiplemodesofnitrogeninleafmodelsusingnearinfraredspectroscopicmeasurement