Optimization of extraction of defatted walnut powder by ultrasonic assisted and artificical neural network

Xu, Xia-jing; Ren, Shumeng; Wang, Dongmei; Ma, Jing; Yan, Xiaowei; Guo, Yongli; Liu, Xiaoqiu; Pan, Yingni

doi:10.1590/fst.53320

Cited by 8 publications

(9 citation statements)

References 23 publications

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“…NIR spectroscopy has been used in the tea industry, for example, to analyze caffeine and free amino acids, and determine the origins of tea varieties. Backward interval partial least squares (bi-PLS) (Wang et al, 2022b) and back propagation-artificial neural network (BP-ANN) algorithms (Xu et al, 2022;Pranoto et al, 2022), and other pattern recognition systems (Shi et al, 2012), such as the support vector machine, have been used to calibrate tea nutrition models. However, there are few reports on near infrared spectroscopy combined with chemometrics to identify fresh tea leaves at different altitudes, so it is necessary to carry out relevant research.…”

Section: Fast and Nondestructive Discrimination Of Fresh Tea Leaves A...mentioning

confidence: 99%

Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods

et al. 2023

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Near infrared spectroscopy (NIRS) combined with various chemometrics methods was tried to identify the fresh tea leaves at different altitudes quickly and nondestructively. Three kinds of samples were collected, then scanning NIRS, conducting spectral preprocessing to remove noise information, using backward interval partial least squares to screen characteristic spectral intervals, going on principal component analysis, respectively. Finally, least squares support vector machine method (LS-SVM) was applied to establish NIRS models, whose robustness was tested by prediction set samples. The best pretreated method was the combination of multivariate scattering correction and the first derivative. Six characteristic spectral intervals were screened, and the corresponding spectral wavenumbers were 4821.

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Section: Fast and Nondestructive Discrimination Of Fresh Tea Leaves A...mentioning

confidence: 99%

Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods

et al. 2023

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“…Some research works have also been performed on quality evaluation (Yuan et al, 2010); however, estimating the quality of Yongchuan Xiuya tea by NIRS has not been reported. In the present study, NIRS combined with synergy interval partial least squares (siPLS), principal component analysis (PCA) and back propagation-artificial neural network (BP-ANN) (Xu et al, 2022;Pranoto et al, 2022) was used to establish the quality prediction model of Yongchuan Xiuya tea that can be used for rapid and accurate quality evaluation.…”

Section: Introductionmentioning

confidence: 99%

Rapid prediction of Yongchuan Xiuya tea quality by using near infrared spectroscopy coupled with chemometric methods

et al. 2023

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The current developmental trend is to evaluate the quality of Yongchuan Xiuya tea rapidly. After spectrum pre-processing, near infrared spectroscopy (NIRS) coupled with synergy interval partial least squares (siPLS), principal component analysis (PCA) and back propagation-artificial neural network (BP-ANN) was applied to rapidly and non-destructively predict the quality of Yongchuan Xiuya tea. External Yongchuan Xiuya tea samples were used for the actual application of the proposed model. The best pre-processing method was multiple scattering correction coupled with second derivative, and the characteristic spectral regions selected by siPLS were 4381.5-4755.6 cm -1 , 4759.5-5133.6 cm -1 , 6266.6-6637.8 cm -1 and 7389.9-7760.2 cm -1 . The cumulative contribution rate was 99.05% for the first three principal components of the characteristic spectra regions. The transfer function, root mean square error and determinant coefficient of the best BP-ANN prediction model were the tanh function, 0.384 and 0.977, respectively. The root mean square error and determinant coefficient of the external 10 Yongchuan Xiuya tea samples were 0.406 and 0.969, respectively. These results showed that NIRS combined with BP-ANN algorithm can be used to evaluate the quality of Yongchuan Xiuya tea rapidly and accurately.

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“…It is a research hotspot in the field of starch deep processing to seek new effective modification methods to meet the consistent application needs. As a new non-thermal processing technology, ultrasonic has become a hot spot in the field of food processing because of its advantages of green energy-saving, safety, high efficiency and convenient application (Araújo et al, 2022;Chew & Ali, 2021;Xu et al, 2022). Ultrasonic treatment is mainly used to modify starch by mechanical effect and cavitation effect, and affects the surface structure, crystal structure and amorphous structure of starch grains, which can degrade starch and reduce the gelatinization viscosity of starch.…”

Section: Introductionmentioning

confidence: 99%

Recent progress of starch modification assisted by ultrasonic wave

et al. 2023

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Starch is a kind of natural polymer, which is the main energy source for human body and important industrial raw materials.As a new non-thermal processing technology, ultrasonic has the advantages of green energy-saving, safety, high efficiency and convenient application. It plays an important role in starch modification process. In this paper, the effects of ultrasound on the multi-scale structure and physicochemical properties of starch were reviewed. The application of ultrasonic synergistic modification in starch modification was also analyzed, which is expected to provide some reference for the green modification of starch and its industrial production and application.

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Optimization of extraction of defatted walnut powder by ultrasonic assisted and artificical neural network

Cited by 8 publications

References 23 publications

Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods

Fast and nondestructive discrimination of fresh tea leaves at different altitudes based on near infrared spectroscopy and various chemometrics methods

Rapid prediction of Yongchuan Xiuya tea quality by using near infrared spectroscopy coupled with chemometric methods

Recent progress of starch modification assisted by ultrasonic wave

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