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 *

130 related articles for article (PubMed ID: 38840806)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. Rapid screening for hazelnut oil and high-oleic sunflower oil in extra virgin olive oil using low-field nuclear magnetic resonance relaxometry and machine learning.
    Hou X; Wang G; Wang X; Ge X; Fan Y; Jiang R; Nie S
    J Sci Food Agric; 2021 Apr; 101(6):2389-2397. PubMed ID: 33011981
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques.
    Viciano-Tudela S; Parra L; Navarro-Garcia P; Sendra S; Lloret J
    Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447662
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Sequential (step-by-step) detection, identification and quantitation of extra virgin olive oil adulteration by chemometric treatment of chromatographic profiles.
    Capote FP; Jiménez JR; de Castro MD
    Anal Bioanal Chem; 2007 Aug; 388(8):1859-65. PubMed ID: 17611742
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multivariate Curve Resolution Methodology Applied to the ATR-FTIR Data for Adulteration Assessment of Virgin Coconut Oil.
    De Luca M; Ioele G; Grande F; Occhiuzzi MA; Chieffallo M; Garofalo A; Ragno G
    Molecules; 2023 Jun; 28(12):. PubMed ID: 37375216
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ion mobility spectrometry fingerprints: A rapid detection technology for adulteration of sesame oil.
    Zhang L; Shuai Q; Li P; Zhang Q; Ma F; Zhang W; Ding X
    Food Chem; 2016 Feb; 192():60-6. PubMed ID: 26304320
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Rapid quantitative authentication and analysis of camellia oil adulterated with edible oils by electronic nose and FTIR spectroscopy.
    Wang X; Gu Y; Lin W; Zhang Q
    Curr Res Food Sci; 2024; 8():100732. PubMed ID: 38699681
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fraud detection and quality assessment of olive oil using ultrasound.
    Zarezadeh MR; Aboonajmi M; Ghasemi Varnamkhasti M
    Food Sci Nutr; 2021 Jan; 9(1):180-189. PubMed ID: 33473282
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Chia Oil Adulteration Detection Based on Spectroscopic Measurements.
    Mburu M; Komu C; Paquet-Durand O; Hitzmann B; Zettel V
    Foods; 2021 Aug; 10(8):. PubMed ID: 34441575
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Rapid Authentication and Detection of Olive Oil Adulteration Using Laser-Induced Breakdown Spectroscopy.
    Nanou E; Pliatsika N; Couris S
    Molecules; 2023 Dec; 28(24):. PubMed ID: 38138450
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection and quantification of extra virgin olive oil adulteration by means of autofluorescence excitation-emission profiles combined with multi-way classification.
    Durán Merás I; Domínguez Manzano J; Airado Rodríguez D; Muñoz de la Peña A
    Talanta; 2018 Feb; 178():751-762. PubMed ID: 29136891
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hyperspectral Microscopy Technology to Detect Syrups Adulteration of Endemic Guindo Santo and Quillay Honey Using Machine-Learning Tools.
    Machuca G; Staforelli J; Rondanelli-Reyes M; Garces R; Contreras-Trigo B; Tapia J; Sanhueza I; Jara A; Lamas I; Troncoso JM; Coelho P
    Foods; 2022 Nov; 11(23):. PubMed ID: 36496674
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rapid detection of sesame oil multiple adulteration using a portable Raman spectrometer.
    Li X; Wang D; Ma F; Yu L; Mao J; Zhang W; Jiang J; Zhang L; Li P
    Food Chem; 2023 Mar; 405(Pt B):134884. PubMed ID: 36435121
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Rapid and nondestructive detection of marine fishmeal adulteration by hyperspectral imaging and machine learning.
    Kong D; Sun D; Qiu R; Zhang W; Liu Y; He Y
    Spectrochim Acta A Mol Biomol Spectrosc; 2022 May; 273():120990. PubMed ID: 35183858
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Reflectance Spectroscopy with Multivariate Methods for Non-Destructive Discrimination of Edible Oil Adulteration.
    Su N; Weng S; Wang L; Xu T
    Biosensors (Basel); 2021 Dec; 11(12):. PubMed ID: 34940249
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hyperspectral Shortwave Infrared Image Analysis for Detection of Adulterants in Almond Powder with One-Class Classification Method.
    Faqeerzada MA; Lohumi S; Kim G; Joshi R; Lee H; Kim MS; Cho BK
    Sensors (Basel); 2020 Oct; 20(20):. PubMed ID: 33081195
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.