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.
129 related articles for article (PubMed ID: 35996456)
1. Front-face synchronous fluorescence spectroscopy: a rapid and non-destructive authentication method for Arabica coffee adulterated with maize and soybean flours. Xie JY; Tan J J Verbrauch Lebensm; 2022; 17(3):209-219. PubMed ID: 35996456 [TBL] [Abstract][Full Text] [Related]
2. A practical application of front-face synchronous fluorescence spectroscopy to rapid, simultaneous and non-destructive determination of piperine and multiple adulterants in ground black and white pepper (Piper nigrum L.). Liu ZX; Xiong SR; Tang SH; Wang Y; Tan J Food Res Int; 2023 May; 167():112654. PubMed ID: 37087244 [TBL] [Abstract][Full Text] [Related]
3. Fluorescence quenching by competitive absorption between solid foods: Rapid and non-destructive determination of maize flour adulterated in turmeric powder. Xie JY; Tan J; Tang SH; Wang Y Food Chem; 2022 May; 375():131887. PubMed ID: 34952388 [TBL] [Abstract][Full Text] [Related]
4. Rapid, simultaneous and non-destructive determination of multiple adulterants in Panax notoginseng powder by front-face total synchronous fluorescence spectroscopy. Liu ZX; Tang SH; Wang Y; Tan J; Jiang ZT Fitoterapia; 2023 Apr; 166():105469. PubMed ID: 36907229 [TBL] [Abstract][Full Text] [Related]
5. Near-Infrared Spectroscopy Applied to the Detection of Multiple Adulterants in Roasted and Ground Arabica Coffee. de Carvalho Couto C; Freitas-Silva O; Morais Oliveira EM; Sousa C; Casal S Foods; 2021 Dec; 11(1):. PubMed ID: 35010188 [TBL] [Abstract][Full Text] [Related]
6. Improvement of near infrared spectroscopic (NIRS) analysis of caffeine in roasted Arabica coffee by variable selection method of stability competitive adaptive reweighted sampling (SCARS). Zhang X; Li W; Yin B; Chen W; Kelly DP; Wang X; Zheng K; Du Y Spectrochim Acta A Mol Biomol Spectrosc; 2013 Oct; 114():350-6. PubMed ID: 23786975 [TBL] [Abstract][Full Text] [Related]
7. SPME-GC-MS untargeted metabolomics approach to identify potential volatile compounds as markers for fraud detection in roasted and ground coffee. Couto CC; Chávez DWH; Oliveira EMM; Freitas-Silva O; Casal S Food Chem; 2024 Jul; 446():138862. PubMed ID: 38430775 [TBL] [Abstract][Full Text] [Related]
8. Quantification of Corn Adulteration in Wet and Dry-Processed Peaberry Ground Roasted Coffees by UV-Vis Spectroscopy and Chemometrics. Yulia M; Suhandy D Molecules; 2021 Oct; 26(20):. PubMed ID: 34684672 [TBL] [Abstract][Full Text] [Related]
9. Authentication of the Origin, Variety and Roasting Degree of Coffee Samples by Non-Targeted HPLC-UV Fingerprinting and Chemometrics. Application to the Detection and Quantitation of Adulterated Coffee Samples. Núñez N; Collado X; Martínez C; Saurina J; Núñez O Foods; 2020 Mar; 9(3):. PubMed ID: 32213986 [TBL] [Abstract][Full Text] [Related]
11. Quantitative evaluation of multiple adulterants in roasted coffee by Diffuse Reflectance Infrared Fourier Transform Spectroscopy (DRIFTS) and chemometrics. Reis N; Franca AS; Oliveira LS Talanta; 2013 Oct; 115():563-8. PubMed ID: 24054633 [TBL] [Abstract][Full Text] [Related]
12. Analysis of coffee adulterated with roasted corn and roasted soybean using voltammetric electronic tongue. Arrieta AA; Arrieta PL; Mendoza JM Acta Sci Pol Technol Aliment; 2019; 18(1):35-41. PubMed ID: 30927750 [TBL] [Abstract][Full Text] [Related]
13. Synchronous front-face fluorescence spectroscopy for authentication of the adulteration of edible vegetable oil with refined used frying oil. Tan J; Li R; Jiang ZT; Tang SH; Wang Y; Shi M; Xiao YQ; Jia B; Lu TX; Wang H Food Chem; 2017 Feb; 217():274-280. PubMed ID: 27664635 [TBL] [Abstract][Full Text] [Related]
14. Assessing the Levels of Robusta and Arabica in Roasted Ground Coffee Using NIR Hyperspectral Imaging and FTIR Spectroscopy. Sahachairungrueng W; Meechan C; Veerachat N; Thompson AK; Teerachaichayut S Foods; 2022 Oct; 11(19):. PubMed ID: 36230198 [TBL] [Abstract][Full Text] [Related]
15. Near infrared spectroscopy: an analytical tool to predict coffee roasting degree. Alessandrini L; Romani S; Pinnavaia G; Dalla Rosa M Anal Chim Acta; 2008 Sep; 625(1):95-102. PubMed ID: 18721545 [TBL] [Abstract][Full Text] [Related]
16. Liquid Chromatography-High-Resolution Mass Spectrometry (LC-HRMS) Fingerprinting and Chemometrics for Coffee Classification and Authentication. Núñez N; Saurina J; Núñez O Molecules; 2023 Dec; 29(1):. PubMed ID: 38202813 [TBL] [Abstract][Full Text] [Related]
17. Prediction of maize flour adulteration in chickpea flour ( Bala M; Sethi S; Sharma S; Mridula D; Kaur G J Food Sci Technol; 2022 Aug; 59(8):3130-3138. PubMed ID: 35505664 [TBL] [Abstract][Full Text] [Related]
18. The use of multispectral imaging for the discrimination of Arabica and Robusta coffee beans. Mihailova A; Liebisch B; Islam MD; Carstensen JM; Cannavan A; Kelly SD Food Chem X; 2022 Jun; 14():100325. PubMed ID: 35586030 [TBL] [Abstract][Full Text] [Related]
19. Assessing polyphenols content and antioxidant activity in coffee beans according to origin and the degree of roasting. Dybkowska E; Sadowska A; Rakowska R; Dębowska M; Świderski F; Świąder K Rocz Panstw Zakl Hig; 2017; 68(4):347-353. PubMed ID: 29265388 [TBL] [Abstract][Full Text] [Related]
20. Authenticity Assessment and Fraud Quantitation of Coffee Adulterated with Chicory, Barley, and Flours by Untargeted HPLC-UV-FLD Fingerprinting and Chemometrics. Núñez N; Saurina J; Núñez O Foods; 2021 Apr; 10(4):. PubMed ID: 33921420 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]