Combining stable isotopes and multi-elements with machine learning chemometric models to identify the geographical origins of Tetrastigma hemsleyanum Diels et Gilg DOI
Lu Bai, Zixuan Zhang, Yalan Li

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 469, P. 142496 - 142496

Published: Dec. 24, 2024

Language: Английский

Rapid and non-destructive identification of Panax ginseng origins using hyperspectral imaging, visible light imaging, and X-ray imaging combined with multi-source data fusion strategies DOI

Jiacong Ping,

Zehua Ying,

Nan Hao

et al.

Food Research International, Journal Year: 2024, Volume and Issue: 192, P. 114758 - 114758

Published: July 14, 2024

Language: Английский

Citations

15
Estimation of wheat protein content and wet gluten content based on fusion of hyperspectral and RGB sensors using machine learning algorithms DOI
Shaohua Zhang,

Xinghui Qi,

Mengyuan Gao

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 448, P. 139103 - 139103

Published: March 23, 2024

Language: Английский

Citations

11
Development of laser-induced breakdown spectroscopy based spectral tandem technology: A topical review DOI
Shunchun Yao, Ziyu Yu, Zongyu Hou

et al.

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 177, P. 117795 - 117795

Published: May 31, 2024

Language: Английский

Citations

11
Classification of bolete species and drying temperature using LC–MS and infrared spectroscopy and simultaneous prediction of their major compounds using chemometrics DOI Creative Commons

Chuanmao Zheng,

Honggao Liu, Jieqing Li

et al.

LWT, Journal Year: 2025, Volume and Issue: unknown, P. 117393 - 117393

Published: Jan. 1, 2025

Language: Английский

Citations

1
Effect of drying temperature on composition of edible mushrooms: Characterization and assessment via HS-GC-MS and IR spectral based volatile profiling and chemometrics DOI Creative Commons

Chuanmao Zheng,

Jieqing Li, Honggao Liu

et al.

Current Research in Food Science, Journal Year: 2024, Volume and Issue: 9, P. 100819 - 100819

Published: Jan. 1, 2024

Edible wild mushrooms are one of the popular ingredients due to their high quality and unique flavor nutrients. To gain insight into effect drying temperature on its composition, 86 Boletus bainiugan were divided 5 groups dried at different temperatures. Headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used for identification volatile organic compounds (VOCs) bainiugan. The 21 differential VOCs that distinguish temperatures identified. 65 °C retained more VOCs. There differences in types content temperatures, proteins, polysaccharides, crude fibers, fats. Fourier transform near-infrared (FT-NIR) spectroscopy, infrared (FTIR) two-dimensional correlation spectroscopy (2DCOS) images successfully characterized chemical composition Partial least squares discriminant analysis (PLS-DA) verified variability with coefficient determination (R2) = 0.95 predictive performance (Q2) 0.75 92.31% accuracy. Next, provides a fast efficient assessment nutrients (proteins, fats).

Language: Английский

Citations

6
Advances in the tea plants phenotyping using hyperspectral imaging technology DOI Creative Commons

Baidong Luo,

Hong-Wei Sun, Leilei Zhang

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 1, 2024

Rapid detection of plant phenotypic traits is crucial for breeding and cultivation. Traditional measurement methods are carried out by rich-experienced agronomists, which time-consuming labor-intensive. However, with the increasing demand rapid high-throughput testing in tea plants traits, digital smart cultivation rely heavily on precise trait techniques, among hyperspectral imaging (HSI) technology stands its ability to provide real-time rich-information. In this paper, we a comprehensive overview principles technology, processing cubic data, relevant algorithms phenomics, reviewing progress applying obtain information phenotypes, growth conditions, quality indicators under environmental stress. Lastly, discuss challenges faced HSI from different perspectives, propose possible solutions, envision potential development prospects plants. This review aims theoretical technical support application detecting information, further promoting trend developing high yield leaves.

Language: Английский

Citations

5
Application of machine learning for antibiotic resistance in water and wastewater: A systematic review DOI
Maryam Foroughi,

Afrooz Arzehgar,

Seyedeh Nahid Seyedhasani

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 358, P. 142223 - 142223

Published: May 2, 2024

Language: Английский

Citations

4
Rapid discrimination and quantification of chemotypes in Perillae folium using FT-NIR spectroscopy and GC–MS combined with chemometrics DOI Creative Commons

Dai-Xin Yu,

Cheng Qu, Jiayi Xu

et al.

Food Chemistry X, Journal Year: 2024, Volume and Issue: 24, P. 101881 - 101881

Published: Oct. 5, 2024

Perillae Folium (PF) is a well-known food and herb containing different chemotypes, which affect its quality. Herein, method was proposed to classify quantify PF chemotypes using gas chromatography-mass spectrometry (GC-MS) Fourier transform-near infrared spectroscopy (FT-NIR). GC-MS results revealed that contains several including perilla ketone (PK) type,

Language: Английский

Citations

4
Advanced Food Contaminant Detection through Multi-Source Data Fusion: Strategies, Applications, and Future Perspectives DOI
Selorm Yao‐Say Solomon Adade, Hao Lin, Nana Adwoa Nkuma Johnson

et al.

Trends in Food Science & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 104851 - 104851

Published: Dec. 1, 2024

Language: Английский

Citations

4
Techniques for Species Identification and Quality Assessment in Edible Mushrooms DOI
Pradeep Kumar Sahu, Deepika Patel, Milan Hait

et al.

Reference series in phytochemistry, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 36

Published: Jan. 1, 2025

Language: Английский

Citations

0