Cited by Advanced chemometric discrimination of intact organic and conventional brown rice kernels: Comparing NIR benchtop, hand-held NIR and NIR hyperspectral imaging

Influence of particle size on NIR spectroscopic characterization of sorghum biomass for the biofuel industry DOI

Md Wadud Ahmed, Carlos Esquerre, Kristen K. Eilts

et al.

Results in Chemistry, Journal Year: 2025, Volume and Issue: 13, P. 102016 - 102016

Published: Jan. 1, 2025

Language: Английский

Citations

A method of maize seed variety identification based on near-infrared spectroscopy combined with improved DenseNet model DOI

Haichao Zhou,

Haiou Guan,

Xiaodan Ma

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 206, P. 111542 - 111542

Published: Sept. 1, 2024

Language: Английский

Citations

Geographic traceability of Gastrodia elata Blum based on combination of NIRS and Chemometrics DOI

Guangyao Li, Jieqing Li, Honggao Liu

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 464, P. 141529 - 141529

Published: Oct. 9, 2024

Language: Английский

Citations

Developing a fast Fourier Transform Infrared Spectroscopy System for Precise and Reliable Grade Differentiation of Gastrodia elata DOI

S. T. Lin, Zhongfan Liu, H. Qin

et al.

Vibrational Spectroscopy, Journal Year: 2025, Volume and Issue: unknown, P. 103769 - 103769

Published: Jan. 1, 2025

Language: Английский

Citations

Constructing an origin discrimination model of japonica rice in Heilongjiang Province based on confocal microscopy Raman spectroscopy technology DOI

Guifang Zhang, Jinming Liu, Z. Li

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 18, 2025

An origin discrimination model for rice from five production regions in Heilongjiang Province was constructed based on the combination of confocal microscopy Raman spectroscopy and chemometrics. A total 150 field samples were collected Fangzheng, Chahayang, Jiansanjiang, Xiangshui, Wuchang areas. The optimal sample processing conditions, instrument parameter settings, spectrum acquisition techniques identified by investigating influencing factor. spectra milled within range 100–3200 cm−1 selected as raw data, preprocessing method consisting normalization, Savitzky–Golay smoothing, multivariate scatter correction identified. Subsequently, competitive adaptive reweighted sampling discrete binary particle swarm optimization algorithms employed to optimize feature wavelength selection, resulting screening 226 1899 variables, respectively. Using full data inputs, partial least squares discriminant analysis, support vector machine extreme learning models constructed. results indicated that BPSO-GA-SVM exhibited best predictive ability, achieving a testing set accuracy 86.67%.

Language: Английский

Citations

Multivariate fusion for identification of geographic origins and varieties of coix seed DOI

Xing Liu, Kai Fan, Yangyang Lu

et al.

npj Science of Food, Journal Year: 2025, Volume and Issue: 9(1)

Published: March 25, 2025

To ensure the authenticity of geographic origins and varieties coix seeds their preliminary processed products, this study focused on viscosity characteristics stable isotopes before after gelatinization. The feasibility identifying seed from Guizhou Liaoning, China, distinguishing between big (BCS) small (SCS) based parameters, protein lipid content, isotope ratios near-infrared spectra was investigated. Significant differences were observed in peak viscosity, trough final δ2H, δ18O values Liaoning seeds, as well BCS SCS. Stable isotopic changes gelatinization consistent, with higher gelatinized seeds. PLS-DA models achieved prediction accuracies 92.00% for samples, 88.00% 84.00% SCS, providing effective methods large-scale traceability seeds' varieties.

Language: Английский

Citations

Application of an electronic tongue combined with meta-learning for rice origin detection DOI

Litong Chen, Zihan Wang, Z.W. Wang

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 156, P. 111174 - 111174

Published: May 26, 2025

Language: Английский

Citations

Study on Rice Origin and Quality Identification Based on Fluorescence Spectral Features DOI

Yixin Qiu,

Yong Tan,

Yingying Zhou

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(10), P. 1763 - 1763

Published: Oct. 6, 2024

The origin of agricultural products significantly influences their quality and safety. Fluorescence spectroscopy was used to analyse Japonica rice 830, grown in different areas Jilin Province, by examining seed, brown rice, flour from 12 origins. spectra were pre-processed through normalisation smoothing remove noise. These processed input into decision trees, support vector machines (SVMs), K-nearest neighbour (KNN), neural network models for classification. analysis revealed that the combined four achieved an average classification accuracy 98.05% with a computation time 180 s, while reduced-scale improved 98.36% reduced 11.25 s. Additionally, prediction using standard starch content values across states R² over 0.8. This method provides rapid, precise approach assessing origin, demonstrating significant potential application analysis.

Language: Английский

Citations

Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics DOI

Guangmei Deng,

Honggao Liu, Jieqing Li

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 327, P. 125421 - 125421

Published: Nov. 10, 2024

Language: Английский

Citations

Rapid determination of the geographical origin of kimchi by Fourier transform near-infrared spectroscopy coupled with chemometric techniques DOI

Suyeon Kim, Ji‐Hyoung Ha

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 19, 2024

Language: Английский

Citations