These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
202 related articles for article (PubMed ID: 38218155)
21. Current Application of Advancing Spectroscopy Techniques in Food Analysis: Data Handling with Chemometric Approaches. Kharbach M; Alaoui Mansouri M; Taabouz M; Yu H Foods; 2023 Jul; 12(14):. PubMed ID: 37509845 [TBL] [Abstract][Full Text] [Related]
22. Emerging Spectroscopic and Spectral Imaging Techniques for the Rapid Detection of Microorganisms: An Overview. Wang K; Pu H; Sun DW Compr Rev Food Sci Food Saf; 2018 Mar; 17(2):256-273. PubMed ID: 33350086 [TBL] [Abstract][Full Text] [Related]
23. Non-Destructive and rapid evaluation of staple foods quality by using spectroscopic techniques: A review. Su WH; He HJ; Sun DW Crit Rev Food Sci Nutr; 2017 Mar; 57(5):1039-1051. PubMed ID: 26480047 [TBL] [Abstract][Full Text] [Related]
24. Recent developments in hyperspectral imaging for assessment of food quality and safety. Huang H; Liu L; Ngadi MO Sensors (Basel); 2014 Apr; 14(4):7248-76. PubMed ID: 24759119 [TBL] [Abstract][Full Text] [Related]
25. Detection of adulteration in food based on nondestructive analysis techniques: a review. He Y; Bai X; Xiao Q; Liu F; Zhou L; Zhang C Crit Rev Food Sci Nutr; 2021; 61(14):2351-2371. PubMed ID: 32543218 [TBL] [Abstract][Full Text] [Related]
26. Application of Visible/Infrared Spectroscopy and Hyperspectral Imaging With Machine Learning Techniques for Identifying Food Varieties and Geographical Origins. Feng L; Wu B; Zhu S; He Y; Zhang C Front Nutr; 2021; 8():680357. PubMed ID: 34222304 [TBL] [Abstract][Full Text] [Related]
27. Overview of advanced technologies for volatile organic compounds measurement in food quality and safety. Lin H; Jiang H; Adade SYS; Kang W; Xue Z; Zareef M; Chen Q Crit Rev Food Sci Nutr; 2023; 63(26):8226-8248. PubMed ID: 35357234 [TBL] [Abstract][Full Text] [Related]
28. Applications of hyperspectral imaging in chicken meat safety and quality detection and evaluation: a review. Xiong Z; Xie A; Sun DW; Zeng XA; Liu D Crit Rev Food Sci Nutr; 2015; 55(9):1287-301. PubMed ID: 24689678 [TBL] [Abstract][Full Text] [Related]
29. Application of hyperspectral technology in detection of agricultural products and food: A Review. Zhu M; Huang D; Hu XJ; Tong WH; Han BL; Tian JP; Luo HB Food Sci Nutr; 2020 Oct; 8(10):5206-5214. PubMed ID: 33133524 [TBL] [Abstract][Full Text] [Related]
30. Analysis and detection using novel terahertz spectroscopy technique in dietary carbohydrate-related research: Principles and application advances. Li Q; Lei T; Sun DW Crit Rev Food Sci Nutr; 2023; 63(13):1793-1805. PubMed ID: 36647744 [TBL] [Abstract][Full Text] [Related]
31. Non-Invasive Methods for Predicting the Quality of Processed Horticultural Food Products, with Emphasis on Dried Powders, Juices and Oils: A Review. Okere EE; Arendse E; Nieuwoudt H; Fawole OA; Perold WJ; Opara UL Foods; 2021 Dec; 10(12):. PubMed ID: 34945612 [TBL] [Abstract][Full Text] [Related]
32. Recent developments in the food quality detected by non-invasive nuclear magnetic resonance technology. Fan K; Zhang M Crit Rev Food Sci Nutr; 2019; 59(14):2202-2213. PubMed ID: 29451810 [TBL] [Abstract][Full Text] [Related]
33. [Application of Raman spectroscopy technique to food quality and safety determination]. Liu YD; Liu T; Sun XD; Ouyang AG; Hao Y Guang Pu Xue Yu Guang Pu Fen Xi; 2010 Nov; 30(11):3007-12. PubMed ID: 21284173 [TBL] [Abstract][Full Text] [Related]
34. Recent developments and applications of hyperspectral imaging for quality evaluation of agricultural products: a review. Liu D; Zeng XA; Sun DW Crit Rev Food Sci Nutr; 2015; 55(12):1744-57. PubMed ID: 24915395 [TBL] [Abstract][Full Text] [Related]
35. Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review. Elmasry G; Kamruzzaman M; Sun DW; Allen P Crit Rev Food Sci Nutr; 2012; 52(11):999-1023. PubMed ID: 22823348 [TBL] [Abstract][Full Text] [Related]
36. Applications of Computer Vision for Assessing Quality of Agri-food Products: A Review of Recent Research Advances. Ma J; Sun DW; Qu JH; Liu D; Pu H; Gao WH; Zeng XA Crit Rev Food Sci Nutr; 2016; 56(1):113-27. PubMed ID: 24689735 [TBL] [Abstract][Full Text] [Related]
37. Influence of physical and biological variability and solution methods in fruit and vegetable quality nondestructive inspection by using imaging and near-infrared spectroscopy techniques: A review. Zhang B; Dai D; Huang J; Zhou J; Gui Q; Dai F Crit Rev Food Sci Nutr; 2018; 58(12):2099-2118. PubMed ID: 28414525 [TBL] [Abstract][Full Text] [Related]
38. Applications of machine learning techniques for enhancing nondestructive food quality and safety detection. Lin Y; Ma J; Wang Q; Sun DW Crit Rev Food Sci Nutr; 2023; 63(12):1649-1669. PubMed ID: 36222697 [TBL] [Abstract][Full Text] [Related]
39. Advances in surface-enhanced Raman spectroscopy technology for detection of foodborne pathogens. Zhu A; Ali S; Jiao T; Wang Z; Ouyang Q; Chen Q Compr Rev Food Sci Food Saf; 2023 May; 22(3):1466-1494. PubMed ID: 36856528 [TBL] [Abstract][Full Text] [Related]