Feasibility study on use of near infrared spectroscopy for rapid and non-destructive determination of gossypol content in intact cottonseeds
Background: Gossypol found in cottonseeds is toxic to human beings and monogastric animals and is a primary parameter for the integrated utilization of cottonseed products. It is usually determined by the techniques relied on complex pretreatment procedures and the samples after determination cannot be used in breeding program, so it is of great importance to predict the gossypol content in cottonseeds rapidly and non-destructively to substitute the traditional analytical method.
Results: Gossypol content in cottonseeds was investigated by near-infrared spectroscopy (NIRS) and High-performance liquid chromatography (HPLC). Partial least squares regression, combined with spectral pretreatment methods including Savitzky-Golay smoothing, standard normal variate, multiplicative scatter correction, and first derivate, were tested for optimizing the calibration models. NIRS technique was efficient in predicting gossypol content in intact cottonseeds, as revealed by the root-mean-square error of cross-validation (RMSECV), root-mean-square error of prediction (RMSEP), coefficient for determination of prediction (Rp2), and residual predictive deviation (RPD) values for all models, being 0.05-0.07, 0.04-0.06, 0.82-0.92, and 2.3-3.4, respectively. The optimized model pretreated by Savitzky-Golay smoothing + standard normal variate + first derivate resulted in good determination of gossypol content in intact cottonseeds.
Conclusions: Near infrared spectroscopy coupled with different spectral pretreatments and PLS regression has exhibited the feasibility in predicting gossypol content in intact cottonseeds, rapidly and non-destructively. It could be used as an alternative method to substitute for traditional one to determine the gossypol content in intact cottonseeds.
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Posted 15 Jan, 2021
Received 03 Mar, 2021
On 24 Feb, 2021
On 11 Jan, 2021
Received 11 Jan, 2021
Invitations sent on 07 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 11 Nov, 2020
Received 31 Oct, 2020
On 18 Oct, 2020
Received 08 Sep, 2020
Received 07 Sep, 2020
On 26 Aug, 2020
On 23 Aug, 2020
Invitations sent on 05 Aug, 2020
On 04 Aug, 2020
On 04 Aug, 2020
On 03 Aug, 2020
On 03 Aug, 2020
Feasibility study on use of near infrared spectroscopy for rapid and non-destructive determination of gossypol content in intact cottonseeds
Posted 15 Jan, 2021
Received 03 Mar, 2021
On 24 Feb, 2021
On 11 Jan, 2021
Received 11 Jan, 2021
Invitations sent on 07 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 11 Nov, 2020
Received 31 Oct, 2020
On 18 Oct, 2020
Received 08 Sep, 2020
Received 07 Sep, 2020
On 26 Aug, 2020
On 23 Aug, 2020
Invitations sent on 05 Aug, 2020
On 04 Aug, 2020
On 04 Aug, 2020
On 03 Aug, 2020
On 03 Aug, 2020
Background: Gossypol found in cottonseeds is toxic to human beings and monogastric animals and is a primary parameter for the integrated utilization of cottonseed products. It is usually determined by the techniques relied on complex pretreatment procedures and the samples after determination cannot be used in breeding program, so it is of great importance to predict the gossypol content in cottonseeds rapidly and non-destructively to substitute the traditional analytical method.
Results: Gossypol content in cottonseeds was investigated by near-infrared spectroscopy (NIRS) and High-performance liquid chromatography (HPLC). Partial least squares regression, combined with spectral pretreatment methods including Savitzky-Golay smoothing, standard normal variate, multiplicative scatter correction, and first derivate, were tested for optimizing the calibration models. NIRS technique was efficient in predicting gossypol content in intact cottonseeds, as revealed by the root-mean-square error of cross-validation (RMSECV), root-mean-square error of prediction (RMSEP), coefficient for determination of prediction (Rp2), and residual predictive deviation (RPD) values for all models, being 0.05-0.07, 0.04-0.06, 0.82-0.92, and 2.3-3.4, respectively. The optimized model pretreated by Savitzky-Golay smoothing + standard normal variate + first derivate resulted in good determination of gossypol content in intact cottonseeds.
Conclusions: Near infrared spectroscopy coupled with different spectral pretreatments and PLS regression has exhibited the feasibility in predicting gossypol content in intact cottonseeds, rapidly and non-destructively. It could be used as an alternative method to substitute for traditional one to determine the gossypol content in intact cottonseeds.
Figure 1
Figure 2
Figure 3
Figure 4