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Volume 12
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10.3390/app122111051
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Article

Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy

by
Liwei Zhu
1,*,†,
Rebecca Njeri Damaris
2,†,
Yong Lv
1,
Qianxi Du
1,
Taoxiong Shi
1,
Jiao Deng
1 and
Qingfu Chen
1
1
Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang 550001, China
2
Department of Biological Sciences, Pwani University, Kilifi 195-80108, Kenya
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Appl. Sci. 2022, 12(21), 11051; https://doi.org/10.3390/app122111051
Submission received: 10 October 2022 / Revised: 27 October 2022 / Accepted: 28 October 2022 / Published: 31 October 2022
(This article belongs to the Special Issue Spectral Detection: Technologies and Applications)
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Versions Notes

Featured Application

Breeding and processing of Golden Tartary buckwheat.

Abstract

To meet the demand of the breeding and processing industry of Golden Tartary buckwheat, quantitative identification models were established to test the content of leucine (Leu) and tyrosine (Tyr) in Golden Tartary buckwheat leaves by near-infrared reflectance spectroscopy (NIRS) with quantitative partial least squares (PLS). Leu’s modeling results were as follows: first derivative (11) pretreatment, the wavenumber range of 4000–9000 cm−1 was appropriate for modeling (calibration sets: validation set = 6:1), the mean coefficient of determination (R2), standard error of calibration (SEC), and relative standard deviation (RSD) for the calibration set were 0.9229, 0.45, and 3.45%, respectively; for the validation set, the mean R2, SEC, and RSD were 0.9502, 0.47, and 3.65%, respectively. Tyr modeling results were as follows: first derivative (11) pretreatment, the wavenumber range of 4000–10,000 cm−1 was suitable for modeling (calibration sets: validation set = 4:1), the R2, SEC, and RSD for the calibration set was 0.9016, 0.15, and 5.72%, respectively; for the validation set, the mean R2, SEC, and RSD were 0.9012, 0.15, and 5.53%, respectively. It was proved that the Leu and Tyr content of Golden Tartary buckwheat could be quantified using the model structured by near infrared spectroscopy combined with the partial least squares method.
Keywords: near infrared spectroscopy; buckwheat; quantitative partial least squares; leucine; tyrosine near infrared spectroscopy; buckwheat; quantitative partial least squares; leucine; tyrosine

Share and Cite

MDPI and ACS Style

Zhu, L.; Damaris, R.N.; Lv, Y.; Du, Q.; Shi, T.; Deng, J.; Chen, Q. Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy. Appl. Sci. 2022, 12, 11051. https://doi.org/10.3390/app122111051

AMA Style

Zhu L, Damaris RN, Lv Y, Du Q, Shi T, Deng J, Chen Q. Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy. Applied Sciences. 2022; 12(21):11051. https://doi.org/10.3390/app122111051

Chicago/Turabian Style

Zhu, Liwei, Rebecca Njeri Damaris, Yong Lv, Qianxi Du, Taoxiong Shi, Jiao Deng, and Qingfu Chen. 2022. "Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy" Applied Sciences 12, no. 21: 11051. https://doi.org/10.3390/app122111051

APA Style

Zhu, L., Damaris, R. N., Lv, Y., Du, Q., Shi, T., Deng, J., & Chen, Q. (2022). Construction and Application of Detection Model for Leucine and Tyrosine Content in Golden Tartary Buckwheat Based on Near Infrared Spectroscopy. Applied Sciences, 12(21), 11051. https://doi.org/10.3390/app122111051

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