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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 33746282)

  • 1. Tea quality evaluation by applying E-nose combined with chemometrics methods.
    Xu M; Wang J; Zhu L
    J Food Sci Technol; 2021 Apr; 58(4):1549-1561. PubMed ID: 33746282
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The qualitative and quantitative assessment of tea quality based on E-nose, E-tongue and E-eye combined with chemometrics.
    Xu M; Wang J; Zhu L
    Food Chem; 2019 Aug; 289():482-489. PubMed ID: 30955639
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ripeness Prediction of Postharvest Kiwifruit Using a MOS E-Nose Combined with Chemometrics.
    Du D; Wang J; Wang B; Zhu L; Hong X
    Sensors (Basel); 2019 Jan; 19(2):. PubMed ID: 30669613
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.
    Zou X; Wang C; Luo M; Ren Q; Liu Y; Zhang S; Bai Y; Meng J; Zhang W; Su SW
    Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35458982
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of Multiple Chinese Liquors by Means of a QCM-based E-Nose and MDS-SVM Classifier.
    Li Q; Gu Y; Jia J
    Sensors (Basel); 2017 Jan; 17(2):. PubMed ID: 28146111
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques.
    Mu F; Gu Y; Zhang J; Zhang L
    Sensors (Basel); 2020 Jul; 20(15):. PubMed ID: 32751425
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Rapid Characterization of Black Tea Taste Quality Using Miniature NIR Spectroscopy and Electronic Tongue Sensors.
    Ren G; Zhang X; Wu R; Yin L; Hu W; Zhang Z
    Biosensors (Basel); 2023 Jan; 13(1):. PubMed ID: 36671927
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Early identification of Aspergillus spp. contamination in milled rice by E-nose combined with chemometrics.
    Gu S; Wang Z; Chen W; Wang J
    J Sci Food Agric; 2021 Aug; 101(10):4220-4228. PubMed ID: 33426692
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Characterization of different grades of Jiuqu hongmei tea based on flavor profiles using HS-SPME-GC-MS combined with E-nose and E-tongue.
    Peng Q; Li S; Zheng H; Meng K; Jiang X; Shen R; Xue J; Xie G
    Food Res Int; 2023 Oct; 172():113198. PubMed ID: 37689946
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of tea storage times by linear discrimination analysis and back-propagation neural network techniques based on the eigenvalues of principal components analysis of e-nose sensor signals.
    Yu H; Wang Y; Wang J
    Sensors (Basel); 2009; 9(10):8073-82. PubMed ID: 22408494
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of different classification methods for analyzing electronic nose data to characterize sesame oils and blends.
    Shao X; Li H; Wang N; Zhang Q
    Sensors (Basel); 2015 Oct; 15(10):26726-42. PubMed ID: 26506350
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effect of swelling agent treatment on grape fruit quality and the application of electronic nose identification detection.
    Qiao J; Su G; Yuan L; Wu L; Weng X; Liu S; Feng Y; Jiang D; Chen Y; Ma Y
    Front Plant Sci; 2023; 14():1292335. PubMed ID: 38298605
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Rapid discrimination of quality grade of black tea based on near-infrared spectroscopy (NIRS), electronic nose (E-nose) and data fusion.
    Xia H; Chen W; Hu D; Miao A; Qiao X; Qiu G; Liang J; Guo W; Ma C
    Food Chem; 2024 May; 440():138242. PubMed ID: 38154280
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Determination of the Geographical Origin of Coffee Beans Using Terahertz Spectroscopy Combined With Machine Learning Methods.
    Yang S; Li C; Mei Y; Liu W; Liu R; Chen W; Han D; Xu K
    Front Nutr; 2021; 8():680627. PubMed ID: 34222305
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection of Mildewed Nutmeg Internal Quality during Storage Using an Electronic Nose Combined with Chemical Profile Analysis.
    Cui Y; Yao Y; Yang R; Wang Y; Liang J; Ouyang S; Yu S; Zou H; Yan Y
    Molecules; 2023 Aug; 28(16):. PubMed ID: 37630302
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose.
    Yu D; Gu Y
    Foods; 2021 Apr; 10(4):. PubMed ID: 33917735
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of different chemometrics approaches for the robust classification of electronic nose data.
    Gromski PS; Correa E; Vaughan AA; Wedge DC; Turner ML; Goodacre R
    Anal Bioanal Chem; 2014 Nov; 406(29):7581-90. PubMed ID: 25286877
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rapid identification of the green tea geographical origin and processing month based on near-infrared hyperspectral imaging combined with chemometrics.
    Liu Y; Huang J; Li M; Chen Y; Cui Q; Lu C; Wang Y; Li L; Xu Z; Zhong Y; Ning J
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 Feb; 267(Pt 1):120537. PubMed ID: 34740002
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rapid characterization of the volatile profiles in Pu-erh tea by gas phase electronic nose and microchamber/thermal extractor combined with TD-GC-MS.
    Yang Y; Rong Y; Liu F; Jiang Y; Deng Y; Dong C; Yuan H
    J Food Sci; 2021 Jun; 86(6):2358-2373. PubMed ID: 33929725
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.