Quality evaluation and comparative physicochemical and sensory studies of chickpea (Cicer arietinum) beverage DOI
Neha Sharma, Nushrat Yeasmen, Valérie Orsat

et al.

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

Rapid qualitative and quantitative analysis of benzo(b)fluoranthene (BbF) in shrimp using SERS-based sensor coupled with chemometric models DOI
Selorm Yao‐Say Solomon Adade, Hao Lin, Nana Adwoa Nkuma Johnson

et al.

Food Chemistry, Journal Year: 2024, Volume and Issue: 454, P. 139836 - 139836

Published: May 25, 2024

Language: Английский

Citations

7
Flexible paper-based AuNP sensor for rapid detection of diabenz (a,h)anthracene (DbA) and benzo(b)fluoranthene (BbF) in mussels coupled with deep learning algorithms DOI
Selorm Yao‐Say Solomon Adade, Hao Lin,

Xorlali Nunekpeku

et al.

Food Control, Journal Year: 2024, Volume and Issue: 168, P. 110966 - 110966

Published: Oct. 24, 2024

Language: Английский

Citations

4
Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy DOI Creative Commons
Mátyás Lukács,

T. Somogyi,

Barasa Mercy Mukite

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 313 - 313

Published: Jan. 7, 2025

The processing of beans begins with a particularly time-consuming procedure, the hydration seeds. Ultrasonic treatment (US) represents potential environmentally friendly method for process acceleration, while near-infrared spectroscopy (NIR) is proposedly suitable non-invasive monitoring tool to assess compositional changes. Our aim was examine red kidney varying sizes and origins. Despite surface areas, beans’ soaking times 13–15, 15–17, 17–19 mm did not reveal significant differences between any groups (control; low power: 180 W, 20 kHz; high 300 40 kHz). US observed result in release greater quantities water-soluble components from beans. This evidenced by darkening water’s color, increase a* color parameter, rise dry matter value. NIRs, combination chemometric tools, are an effective predicting characteristics bean-soaking water. PLSR- SVR-based modelling content light parameters demonstrated robust model fits cross test set-validated R2 values (>0.95), suggesting that these techniques can effectively capture chemical information samples.

Language: Английский

Citations

0
Nondestructive prediction and classification of gel strength in ethanol-treated kudzu starch gels using near-infrared spectroscopy DOI
John‐Nelson Ekumah, Selorm Yao‐Say Solomon Adade,

Xorlali Nunekpeku

et al.

Food Chemistry, Journal Year: 2025, Volume and Issue: 476, P. 143357 - 143357

Published: Feb. 11, 2025

Language: Английский

Citations

0
Online analysis of filling power of cut tobacco by dynamic modeling on near-infrared spectral data DOI

Guorong Du,

Tongguang Xu,

Wei Zhao

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107447 - 107447

Published: March 1, 2025

Language: Английский

Citations

0
Optimization of UAE-NADES green extraction of bioactive compounds from chickpea (Cicer arietinum L.) sprouts using simplex lattice mixture design methodology DOI Creative Commons
Waseem Khalid, Hyrije Koraqi,

Imed E Benmebarek

et al.

Ultrasonics Sonochemistry, Journal Year: 2024, Volume and Issue: 112, P. 107186 - 107186

Published: Nov. 30, 2024

Language: Английский

Citations

3
A Knowledge-Informed Spectral Variable Interval Identification and Combination Based On the Hierarchical Clustering for Robust and Interpretable Analysis DOI
Pengcheng Wu,

M. Shengrui Wang,

Tao Chen

et al.

Published: Jan. 1, 2024

Variable selection in the context of regression problems can be considered as an optimization process. However, such data-driven methods may ignore physically relevant variables or feature structures, which exploited to enhance robustness and interpretability variable results. In this paper, we propose a knowledge-informed spectral hierarchical-clustering optimal interval combination (HCIC) strategy capture exploit underlying correlations among spectra wavelengths. first step, (SVHC) is employed determine correlation between adjacent then generate number non-uniform intervals. These intervals are designed distinguish patterns structural regions arising from infrared-light chemical bonds reactions, enabling exploitation characteristics. subsequent bayesian linear based (BLR-OIC) introduced with weighted bootstrap sampling (WBS) search for most effective solutions. This aims emulate synergy effect functional bands group functions data. We conduct extensive experiments on public available private databases various techniques verify efficacy proposed algorithm. The results not only manifest improved prediction performance compared benchmark but also demonstrate consistent

Language: Английский

Citations

0
Prediction of saccharides concentration in intact and ground Codonopsis root using near-infrared reflectance spectroscopy DOI Creative Commons
Zheng Jiang, Thomas Rodemann, Alieta Eyles

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 205, P. 111333 - 111333

Published: July 31, 2024

Codonopsis root, a traditional Chinese medicine, produces saccharides that serve as key indicators for assessing its quality. In this study, we employ near-infrared reflectance spectroscopy to predict total polysaccharide concentration well the major individual of intact (surface and cross-section) ground samples roots. We developed regression relationships between spectra fructose, glucose polysaccharides set (Rp2 > 0.8, RPD>2.0) based on partial least squares (PLSR) model. However, cross-section set, only dominant component could be quantitatively detected RPD>2.0). All models surface were unacceptable performance. This discrepancy attributed low levels different distinct chemical profiles reflected by sets from with varying homogeneity. The findings provide an approach efficient sustainable analysis purposes quality control standardization

Language: Английский

Citations

0
Correction methods for visible near-infrared spectroscopy in water pH detection to mitigate temperature influence DOI Creative Commons

Hanjun Su,

Lina Li, Xiaojian Hu

et al.

Spectroscopy Letters, Journal Year: 2024, Volume and Issue: 57(10), P. 565 - 579

Published: Aug. 9, 2024

The pH value is an important indicator for determining water quality, and visible near-infrared (Vis-NIR) spectroscopy ideal technique rapid detection. Vis-NIR spectrum of greatly affected by temperature. When using to detect the water, temperature interference will affect prediction accuracy value. In this study, several chemometric methods developed in recent years were used correct spectra distilled samples under improve values. Specifically, includes external parameter orthogonalization (EPO) algorithm generalized least square weighting (GLSW) algorithm. Spectra at different temperatures 400–1049 nm range collected, correction effects EPO GLSW on after changes, as well errors values, tested examined, compared with traditional full-temperature spectral models. results show that both require only a small number representative obtain filtering matrices. By correcting all reference level, good can be achieved. Additionally, values models corrected better than method, complexity also reduced.

Language: Английский

Citations

0
Quality evaluation and comparative physicochemical and sensory studies of chickpea (Cicer arietinum) beverage DOI
Neha Sharma, Nushrat Yeasmen, Valérie Orsat

et al.

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

Citations

0