Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Yongsheng Wang; Jie Li; Bo Wang; Yuting Zhang; Junling Geng; Li Xin Wen; Aike Li

doi:doi:10.11648/j.ijast.20210501.12

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Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Yongsheng Wang, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, Li Xin Wen, Aike Li

Published in International Journal of Animal Science and Technology (Volume 5, Issue 1)

Received: 2 August 2020 Accepted: 22 January 2021 Published: 28 January 2021

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Abstract

This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm^-1 and resolution of 16 cm^-1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R²_CAL), root mean standard error of calibration (RMSE_CAL), coefficient of determination for cross-validation (R²_CV), root mean standard error of cross-validation (RMSE_CV) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSE_CV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm^-1 and 5452-4244 cm^-1. The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.

Published in	International Journal of Animal Science and Technology (Volume 5, Issue 1)
DOI	10.11648/j.ijast.20210501.12
Page(s)	7-12
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Tannin, Near-infrared Spectroscopy, Sorghum

References

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[7]	Ronda V A C V. Sorghum for Animal Feed. In: Breeding Sorghum for Diverse End Uses, UK: Woodhead Publishing, 2019; pp. 229-238.
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[10]	Rungpichayapichet P, Mahayothee B, Nagle M, et al. Robust NIRS models for non-destructive prediction of postharvest fruit ripeness and quality in mango. Postharvest Biol. Tech. 2016; 111: 31-40.
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[14]	Dykes L, Hoffmann Jr. L, Portillo-Ridriguez O, et al. Prediction of total phenols, condensed tannins, and 3-deoxyanthocyanidins in sorghum grain using near-infrared (NIR) spectroscopy. J. Cereal Sci. 2014; doi: 10.1016/j.jcs.2014.02.002.
[15]	GB. Sorghum-Determination of tannin content GB/T 15686-2008. General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China; National standardization management Council, Chinese Standard Publishing. 2008.
[16]	Zhang Y, Zhou F, Zhang X, et al. Cluster analysis and determination of protein and tannin content in sorghum germplasms. Tianjin Agri. Sci. 2017; 54: 65-74.
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[18]	Towett E K, Alex M, Shepherd K D, et al. Applicability of near-nfrared reflectance spectroscopy (NIRS) for determination of crude protein content in cowpea (Vigna unguiculata) leaves. Food Sci. Nutr. 2013; 1: 45-53.

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APA Style

Yongsheng Wang, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, et al. (2021). Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. International Journal of Animal Science and Technology, 5(1), 7-12. https://doi.org/10.11648/j.ijast.20210501.12

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ACS Style

Yongsheng Wang; Jie Li; Bo Wang; Yuting Zhang; Junling Geng, et al. Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. Int. J. Anim. Sci. Technol. 2021, 5(1), 7-12. doi: 10.11648/j.ijast.20210501.12

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AMA Style

Yongsheng Wang, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, et al. Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. Int J Anim Sci Technol. 2021;5(1):7-12. doi: 10.11648/j.ijast.20210501.12

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@article{10.11648/j.ijast.20210501.12,
  author = {Yongsheng Wang and Jie Li and Bo Wang and Yuting Zhang and Junling Geng and Li Xin Wen and Aike Li},
  title = {Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy},
  journal = {International Journal of Animal Science and Technology},
  volume = {5},
  number = {1},
  pages = {7-12},
  doi = {10.11648/j.ijast.20210501.12},
  url = {https://doi.org/10.11648/j.ijast.20210501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijast.20210501.12},
  abstract = {This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm-1 and resolution of 16 cm-1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R2CAL), root mean standard error of calibration (RMSECAL), coefficient of determination for cross-validation (R2CV), root mean standard error of cross-validation (RMSECV) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSECV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm-1 and 5452-4244 cm-1. The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.},
 year = {2021}
}

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TY  - JOUR
T1  - Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy
AU  - Yongsheng Wang
AU  - Jie Li
AU  - Bo Wang
AU  - Yuting Zhang
AU  - Junling Geng
AU  - Li Xin Wen
AU  - Aike Li
Y1  - 2021/01/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijast.20210501.12
DO  - 10.11648/j.ijast.20210501.12
T2  - International Journal of Animal Science and Technology
JF  - International Journal of Animal Science and Technology
JO  - International Journal of Animal Science and Technology
SP  - 7
EP  - 12
PB  - Science Publishing Group
SN  - 2640-1312
UR  - https://doi.org/10.11648/j.ijast.20210501.12
AB  - This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm-1 and resolution of 16 cm-1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R2CAL), root mean standard error of calibration (RMSECAL), coefficient of determination for cross-validation (R2CV), root mean standard error of cross-validation (RMSECV) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSECV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm-1 and 5452-4244 cm-1. The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.
VL  - 5
IS  - 1
ER  -

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Author Information

Yongsheng Wang

Animal Nutrition Center of Nutrition & Health Research Institute, China Oil & Foodstuffs Corporation, Beijing, China
Jie Li

Animal Nutrition Center of Nutrition & Health Research Institute, China Oil & Foodstuffs Corporation, Beijing, China
Bo Wang

Animal Nutrition Center of Nutrition & Health Research Institute, China Oil & Foodstuffs Corporation, Beijing, China
Yuting Zhang

Beijing Engineering Research Center of Livestock Products Quality and Safety Source Control, Beijing, China
Junling Geng

Beijing Engineering Research Center of Livestock Products Quality and Safety Source Control, Beijing, China
Li Xin Wen

College of Veterinary Medicine, Hunan Agricultural University, Changsha, China
Aike Li

Institute of Grain Quality and Nutrition, Academy of National Food and Strategic Reserves Administration, Beijing, China

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APA Style

Yongsheng Wang, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, et al. (2021). Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. International Journal of Animal Science and Technology, 5(1), 7-12. https://doi.org/10.11648/j.ijast.20210501.12

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ACS Style

Yongsheng Wang; Jie Li; Bo Wang; Yuting Zhang; Junling Geng, et al. Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. Int. J. Anim. Sci. Technol. 2021, 5(1), 7-12. doi: 10.11648/j.ijast.20210501.12

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AMA Style

Yongsheng Wang, Jie Li, Bo Wang, Yuting Zhang, Junling Geng, et al. Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy. Int J Anim Sci Technol. 2021;5(1):7-12. doi: 10.11648/j.ijast.20210501.12

Copy | Download

@article{10.11648/j.ijast.20210501.12,
  author = {Yongsheng Wang and Jie Li and Bo Wang and Yuting Zhang and Junling Geng and Li Xin Wen and Aike Li},
  title = {Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy},
  journal = {International Journal of Animal Science and Technology},
  volume = {5},
  number = {1},
  pages = {7-12},
  doi = {10.11648/j.ijast.20210501.12},
  url = {https://doi.org/10.11648/j.ijast.20210501.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijast.20210501.12},
  abstract = {This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm-1 and resolution of 16 cm-1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R2CAL), root mean standard error of calibration (RMSECAL), coefficient of determination for cross-validation (R2CV), root mean standard error of cross-validation (RMSECV) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSECV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm-1 and 5452-4244 cm-1. The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy
AU  - Yongsheng Wang
AU  - Jie Li
AU  - Bo Wang
AU  - Yuting Zhang
AU  - Junling Geng
AU  - Li Xin Wen
AU  - Aike Li
Y1  - 2021/01/28
PY  - 2021
N1  - https://doi.org/10.11648/j.ijast.20210501.12
DO  - 10.11648/j.ijast.20210501.12
T2  - International Journal of Animal Science and Technology
JF  - International Journal of Animal Science and Technology
JO  - International Journal of Animal Science and Technology
SP  - 7
EP  - 12
PB  - Science Publishing Group
SN  - 2640-1312
UR  - https://doi.org/10.11648/j.ijast.20210501.12
AB  - This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm-1 and resolution of 16 cm-1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R2CAL), root mean standard error of calibration (RMSECAL), coefficient of determination for cross-validation (R2CV), root mean standard error of cross-validation (RMSECV) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSECV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm-1 and 5452-4244 cm-1. The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.
VL  - 5
IS  - 1
ER  -

Copy | Download