306 related articles for article (PubMed ID: 29784366)
1. Raman spectroscopy for wine analyses: A comparison with near and mid infrared spectroscopy.
Teixeira Dos Santos CA; Páscoa RNMJ; Porto PALS; Cerdeira AL; González-Sáiz JM; Pizarro C; Lopes JA
Talanta; 2018 Aug; 186():306-314. PubMed ID: 29784366
[TBL] [Abstract][Full Text] [Related]
2. Merging vibrational spectroscopic data for wine classification according to the geographic origin.
Teixeira Dos Santos CA; Páscoa RNMJ; Sarraguça MC; Porto PALS; Cerdeira AL; González-Sáiz JM; Pizarro C; Lopes JA
Food Res Int; 2017 Dec; 102():504-510. PubMed ID: 29195978
[TBL] [Abstract][Full Text] [Related]
3. Comparison of different measurement techniques and variable selection methods for FT-MIR in wine analysis.
Friedel M; Patz CD; Dietrich H
Food Chem; 2013 Dec; 141(4):4200-7. PubMed ID: 23993606
[TBL] [Abstract][Full Text] [Related]
4. [Determination of wine original regions using information fusion of NIR and MIR spectroscopy].
Xiang LL; Li MH; Li JM; Li JH; Zhang LD; Zhao LL
Guang Pu Xue Yu Guang Pu Fen Xi; 2014 Oct; 34(10):2662-6. PubMed ID: 25739204
[TBL] [Abstract][Full Text] [Related]
5. Prediction of total and volatile acidity in red wines by Fourier-transform mid-infrared spectroscopy and iterative predictor weighting.
Pizarro C; González-Sáiz JM; Esteban-Díez I; Orio P
Anal Bioanal Chem; 2011 Feb; 399(6):2061-72. PubMed ID: 21042907
[TBL] [Abstract][Full Text] [Related]
6. A Comparative Approach to Screen the Capability of Raman and Infrared (Mid- and Near-) Spectroscopy for Quantification of Low-Active Pharmaceutical Ingredient Content Solid Dosage Forms: The Case of Alprazolam.
Makraduli L; Makreski P; Goracinova K; Stefov S; Anevska M; Geskovski N
Appl Spectrosc; 2020 Jun; 74(6):661-673. PubMed ID: 32031007
[TBL] [Abstract][Full Text] [Related]
7. Quantitative analysis of binary polymorphs mixtures of fusidic acid by diffuse reflectance FTIR spectroscopy, diffuse reflectance FT-NIR spectroscopy, Raman spectroscopy and multivariate calibration.
Guo C; Luo X; Zhou X; Shi B; Wang J; Zhao J; Zhang X
J Pharm Biomed Anal; 2017 Jun; 140():130-136. PubMed ID: 28359962
[TBL] [Abstract][Full Text] [Related]
8. Investigation of the potential utility of single-bounce attenuated total reflectance Fourier transform infrared spectroscopy in the analysis of distilled liquors and wines.
Cocciardi RA; Ismail AA; Sedman J
J Agric Food Chem; 2005 Apr; 53(8):2803-9. PubMed ID: 15826022
[TBL] [Abstract][Full Text] [Related]
9. New PLS analysis approach to wine volatile compounds characterization by near infrared spectroscopy (NIR).
Genisheva Z; Quintelas C; Mesquita DP; Ferreira EC; Oliveira JM; Amaral AL
Food Chem; 2018 Apr; 246():172-178. PubMed ID: 29291836
[TBL] [Abstract][Full Text] [Related]
10. Quantitative analysis of red wine tannins using Fourier-transform mid-infrared spectrometry.
Fernandez K; Agosin E
J Agric Food Chem; 2007 Sep; 55(18):7294-300. PubMed ID: 17696445
[TBL] [Abstract][Full Text] [Related]
11. [Combination of near infrared spectroscopy and electronic nose for alcohol quantification during the red wine fermentation].
Zhang SM; Yang Y; Ni YY
Guang Pu Xue Yu Guang Pu Fen Xi; 2012 Nov; 32(11):2997-3001. PubMed ID: 23387165
[TBL] [Abstract][Full Text] [Related]
12. Measurement of non-sugar solids content in Chinese rice wine using near infrared spectroscopy combined with an efficient characteristic variables selection algorithm.
Ouyang Q; Zhao J; Chen Q
Spectrochim Acta A Mol Biomol Spectrosc; 2015; 151():280-5. PubMed ID: 26143319
[TBL] [Abstract][Full Text] [Related]
13. Rapid Determination of Wine Grape Maturity Level from pH, Titratable Acidity, and Sugar Content Using Non-Destructive In Situ Infrared Spectroscopy and Multi-Head Attention Convolutional Neural Networks.
Kalopesa E; Gkrimpizis T; Samarinas N; Tsakiridis NL; Zalidis GC
Sensors (Basel); 2023 Nov; 23(23):. PubMed ID: 38067909
[TBL] [Abstract][Full Text] [Related]
14. Non-invasive quantification of vitamin C, citric acid, and sugar in 'Valência' oranges using infrared spectroscopies.
Borba KR; Spricigo PC; Aykas DP; Mitsuyuki MC; Colnago LA; Ferreira MD
J Food Sci Technol; 2021 Feb; 58(2):731-738. PubMed ID: 33568867
[TBL] [Abstract][Full Text] [Related]
15. A multi-model fusion strategy for multivariate calibration using near and mid-infrared spectra of samples from brewing industry.
Tan C; Chen H; Wang C; Zhu W; Wu T; Diao Y
Spectrochim Acta A Mol Biomol Spectrosc; 2013 Mar; 105():1-7. PubMed ID: 23274502
[TBL] [Abstract][Full Text] [Related]
16. The application of near infrared spectroscopy to wine analysis: An innovative approach using lyophilization to remove water bands interference.
Páscoa RNMJ; Porto PALS; Cerdeira AL; Lopes JA
Talanta; 2020 Jul; 214():120852. PubMed ID: 32278421
[TBL] [Abstract][Full Text] [Related]
17. Prediction of enological parameters and discrimination of rice wine age using least-squares support vector machines and near infrared spectroscopy.
Yu H; Lin H; Xu H; Ying Y; Li B; Pan X
J Agric Food Chem; 2008 Jan; 56(2):307-13. PubMed ID: 18167072
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Individual and Integrated Inline Raman, Near-Infrared, and Mid-Infrared Spectroscopic Models to Predict the Viscosity of Micellar Liquids.
Haroon K; Arafeh A; Cunliffe S; Martin P; Rodgers T; Mendoza Ć; Baker M
Appl Spectrosc; 2020 Jul; 74(7):819-831. PubMed ID: 32312088
[TBL] [Abstract][Full Text] [Related]
19. Noninvasive measurement of glucose in artificial plasma with near-infrared and Raman spectroscopy.
Xue J; Chen H; Xiong D; Huang G; Ai H; Liang Y; Yan X; Gan Y; Chen C; Chao R; Ye L
Appl Spectrosc; 2014; 68(4):428-33. PubMed ID: 24694699
[TBL] [Abstract][Full Text] [Related]
20. Near infrared spectroscopy as a rapid tool to measure volatile aroma compounds in Riesling wine: possibilities and limits.
Smyth HE; Cozzolino D; Cynkar WU; Dambergs RG; Sefton M; Gishen M
Anal Bioanal Chem; 2008 Apr; 390(7):1911-6. PubMed ID: 18283438
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]