161 related articles for article (PubMed ID: 26366185)
21. Classification of Bee Pollen and Prediction of Sensory and Colorimetric Attributes-A Sensometric Fusion Approach by e-Nose, e-Tongue and NIR.
Sipos L; Végh R; Bodor Z; Zaukuu JZ; Hitka G; Bázár G; Kovacs Z
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33256130
[TBL] [Abstract][Full Text] [Related]
22. Species discrimination among three kinds of puffer fish using an electronic nose combined with olfactory sensory evaluation.
Zhang M; Wang X; Liu Y; Xu X; Zhou G
Sensors (Basel); 2012; 12(9):12562-71. PubMed ID: 23112731
[TBL] [Abstract][Full Text] [Related]
23. Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors.
Zakaria A; Shakaff AY; Adom AH; Ahmad MN; Masnan MJ; Aziz AH; Fikri NA; Abdullah AH; Kamarudin LM
Sensors (Basel); 2010; 10(10):8782-96. PubMed ID: 22163381
[TBL] [Abstract][Full Text] [Related]
24. Electronic Tongue and Consumer Sensory Evaluation of Spicy Paneer Cheese.
Schlossareck C; Ross CF
J Food Sci; 2019 Jun; 84(6):1563-1569. PubMed ID: 31042820
[TBL] [Abstract][Full Text] [Related]
25. Application of Sensory Evaluation, HS-SPME GC-MS, E-Nose, and E-Tongue for Quality Detection in Citrus Fruits.
Qiu S; Wang J
J Food Sci; 2015 Oct; 80(10):S2296-304. PubMed ID: 26416698
[TBL] [Abstract][Full Text] [Related]
26. Characterization of Chinese rice wine taste attributes using liquid chromatographic analysis, sensory evaluation, and an electronic tongue.
Yu H; Zhao J; Li F; Tian H; Ma X
J Chromatogr B Analyt Technol Biomed Life Sci; 2015 Aug; 997():129-35. PubMed ID: 26113454
[TBL] [Abstract][Full Text] [Related]
27. Discrimination between washed Arabica, natural Arabica and Robusta coffees by using near infrared spectroscopy, electronic nose and electronic tongue analysis.
Buratti S; Sinelli N; Bertone E; Venturello A; Casiraghi E; Geobaldo F
J Sci Food Agric; 2015 Aug; 95(11):2192-200. PubMed ID: 25258213
[TBL] [Abstract][Full Text] [Related]
28. Discrimination and geographical origin prediction of washed specialty Bourbon coffee from different coffee growing areas in Rwanda by using electronic nose and electronic tongue.
Flambeau KJ; Lee WJ; Yoon J
Food Sci Biotechnol; 2017; 26(5):1245-1254. PubMed ID: 30263658
[TBL] [Abstract][Full Text] [Related]
29. Integration of a low-cost electronic nose and a voltammetric electronic tongue for red wines identification.
Han F; Zhang D; Aheto JH; Feng F; Duan T
Food Sci Nutr; 2020 Aug; 8(8):4330-4339. PubMed ID: 32884713
[TBL] [Abstract][Full Text] [Related]
30. Evaluation of the quality grade of Congou black tea by the fusion of GC-
Wang L; Xie J; Wang Q; Hu J; Jiang Y; Wang J; Tong H; Yuan H; Yang Y
Food Chem X; 2024 Oct; 23():101519. PubMed ID: 38933990
[TBL] [Abstract][Full Text] [Related]
31. Comparison of Sensory Qualities in Eggs from Three Breeds Based on Electronic Sensory Evaluations.
Dong X; Gao L; Zhang H; Wang J; Qiu K; Qi G; Wu S
Foods; 2021 Aug; 10(9):. PubMed ID: 34574094
[TBL] [Abstract][Full Text] [Related]
32. Sampling locations and processing methods shape fungi microbiome on the surface of edible and medicinal Arecae semen.
Wei G; Xu J; Zhang Z; Zhang G; Chen S; Dong L
Front Microbiol; 2023; 14():1188986. PubMed ID: 37547678
[TBL] [Abstract][Full Text] [Related]
33. Discrimination and characterization of strawberry juice based on electronic nose and tongue: comparison of different juice processing approaches by LDA, PLSR, RF, and SVM.
Qiu S; Wang J; Gao L
J Agric Food Chem; 2014 Jul; 62(27):6426-34. PubMed ID: 25005851
[TBL] [Abstract][Full Text] [Related]
34. UPLC-HDMS-based on serum metabolomics reveals the toxicity of arecae semen.
Lin Q; Wang C; Jia Z; Xiong H; Xue X; Liu M; Xu X; Qu W; Li X
J Ethnopharmacol; 2020 Jan; 247():112223. PubMed ID: 31553926
[TBL] [Abstract][Full Text] [Related]
35. [Water migration and kinetics of Arecae Semen during moistening process].
Qi FM; Rao XY; Han TT; Zhong LY; Luo XJ; He Y; Shen RL
Zhongguo Zhong Yao Za Zhi; 2022 Apr; 47(7):1871-1880. PubMed ID: 35534257
[TBL] [Abstract][Full Text] [Related]
36. [Discrimination of traditional Chinese medicinal materials with different tastes based on electronic tongue].
Du RC; Wang YJ; Wu F; Feng Y; Xu DS; Hong YL; Ruan KF
Zhongguo Zhong Yao Za Zhi; 2013 Jan; 38(2):154-60. PubMed ID: 23672033
[TBL] [Abstract][Full Text] [Related]
37. Wastewater monitoring by means of e-nose, VE-tongue, TD-GC-MS, and SPME-GC-MS.
Moufid M; Hofmann M; El Bari N; Tiebe C; Bartholmai M; Bouchikhi B
Talanta; 2021 Jan; 221():121450. PubMed ID: 33076073
[TBL] [Abstract][Full Text] [Related]
38. Discrimination of chicken seasonings and beef seasonings using electronic nose and sensory evaluation.
Tian H; Li F; Qin L; Yu H; Ma X
J Food Sci; 2014 Nov; 79(11):S2346-53. PubMed ID: 25311825
[TBL] [Abstract][Full Text] [Related]
39. [Discrimination of different processing degrees and quantitative study of processing end point of vinegar-processing Cyperi Rhizoma pieces based on electronic sensory technology].
Shi YB; Fu R; Li MX; Li Y; Zhang JB; Ji D; Su LL; Mao CQ; Lu TL; Mei X
Zhongguo Zhong Yao Za Zhi; 2023 Sep; 48(18):5003-5013. PubMed ID: 37802842
[TBL] [Abstract][Full Text] [Related]
40. [A thin layer chromatography densitometric method for the determination of arecoline content in semen Arecae from different producing areas].
Lin L; Xu H; Deng P; Lu W
Zhongguo Zhong Yao Za Zhi; 1992 Aug; 17(8):491-2, 512. PubMed ID: 1482538
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]