38 related articles for article (PubMed ID: 38708100)
1. Detection of honey adulteration using machine learning.
Ahmed E
PLOS Digit Health; 2024 Jun; 3(6):e0000536. PubMed ID: 38857195
[TBL] [Abstract][Full Text] [Related]
2. Revolutionizing Phenolic Content Determination in Vegetable Oils: A Cutting-Edge Approach Using Smartphone-Based Image Analysis.
Vucane S; Cinkmanis I; Juhnevica-Radenkova K; Sabovics M
Foods; 2024 May; 13(11):. PubMed ID: 38890928
[TBL] [Abstract][Full Text] [Related]
3. Review of some adulteration detection techniques of edible oils.
Salah WA; Nofal M
J Sci Food Agric; 2021 Feb; 101(3):811-819. PubMed ID: 32833235
[TBL] [Abstract][Full Text] [Related]
4. A comprehensive review on different classes of polyphenolic compounds present in edible oils.
Zeb A
Food Res Int; 2021 May; 143():110312. PubMed ID: 33992331
[TBL] [Abstract][Full Text] [Related]
5. Machine learning identification of edible vegetable oils from fatty acid compositions and hyperspectral images.
Hwang J; Choi KO; Jeong S; Lee S
Curr Res Food Sci; 2024; 8():100742. PubMed ID: 38708100
[TBL] [Abstract][Full Text] [Related]
6. Hyperspectral identification of oil adulteration using machine learning techniques.
Aqeel M; Sohaib A; Iqbal M; Rehman HU; Rustam F
Curr Res Food Sci; 2024; 8():100773. PubMed ID: 38840806
[TBL] [Abstract][Full Text] [Related]
7. A classification and identification model of extra virgin olive oil adulterated with other edible oils based on pigment compositions and support vector machine.
Lu CH; Li BQ; Jing Q; Pei D; Huang XY
Food Chem; 2023 Sep; 420():136161. PubMed ID: 37080110
[TBL] [Abstract][Full Text] [Related]
8. Rapid Identification of Adulteration in Edible Vegetable Oils Based on Low-Field Nuclear Magnetic Resonance Relaxation Fingerprints.
Huang ZM; Xin JX; Sun SS; Li Y; Wei DX; Zhu J; Wang XL; Wang J; Yao YF
Foods; 2021 Dec; 10(12):. PubMed ID: 34945619
[TBL] [Abstract][Full Text] [Related]
9. Studying the Evaluation Model of the Nutritional Quality of Edible Vegetable Oil Based on Dietary Nutrient Reference Intake.
Zhao X; Xiang X; Huang J; Ma Y; Sun J; Zhu D
ACS Omega; 2021 Mar; 6(10):6691-6698. PubMed ID: 33748582
[TBL] [Abstract][Full Text] [Related]
10. Stepwise strategy based on
Alonso-Salces RM; Berrueta LÁ; Quintanilla-Casas B; Vichi S; Tres A; Collado MI; Asensio-Regalado C; Viacava GE; Poliero AA; Valli E; Bendini A; Gallina Toschi T; Martínez-Rivas JM; Moreda W; Gallo B
Food Chem; 2022 Jan; 366():130588. PubMed ID: 34314930
[No Abstract] [Full Text] [Related]
11. Hyperspectral Imaging and Chemometrics for Authentication of Extra Virgin Olive Oil: A Comparative Approach with FTIR, UV-VIS, Raman, and GC-MS.
Malavi D; Nikkhah A; Raes K; Van Haute S
Foods; 2023 Jan; 12(3):. PubMed ID: 36765958
[TBL] [Abstract][Full Text] [Related]
12. A Combination of Near-Infrared Hyperspectral Imaging with Two-Dimensional Correlation Analysis for Monitoring the Content of Alanine in Beef.
Dong F; Bi Y; Hao J; Liu S; Lv Y; Cui J; Wang S; Han Y; Rodas-González A
Biosensors (Basel); 2022 Nov; 12(11):. PubMed ID: 36421161
[TBL] [Abstract][Full Text] [Related]
13. Emerging Applications of Machine Learning in Food Safety.
Deng X; Cao S; Horn AL
Annu Rev Food Sci Technol; 2021 Mar; 12():513-538. PubMed ID: 33472015
[TBL] [Abstract][Full Text] [Related]
14. Determination of acid value during edible oil storage using a portable NIR spectroscopy system combined with variable selection algorithms based on an MPA-based strategy.
Jiang H; He Y; Chen Q
J Sci Food Agric; 2021 Jun; 101(8):3328-3335. PubMed ID: 33222172
[TBL] [Abstract][Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
