198 related articles for article (PubMed ID: 29903260)
21. Investigating the fermentation of cocoa by correlating denaturing gradient gel electrophoresis profiles and near infrared spectra.
Nielsen DS; Snitkjaer P; van den Berg F
Int J Food Microbiol; 2008 Jul; 125(2):133-40. PubMed ID: 18499292
[TBL] [Abstract][Full Text] [Related]
22. [Prediction of minced pork quality attributes using visible and near infrared reflectance spectroscopy].
Fan YX; Liao YT; Cheng F
Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Oct; 31(10):2734-7. PubMed ID: 22250546
[TBL] [Abstract][Full Text] [Related]
23. [Prediction of protein content of intact wheat seeds with near infrared reflectance spectroscopy (NIRS)].
Wang WD; Gu YH; Qin GY; Huo YP
Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Apr; 27(4):697-701. PubMed ID: 17608178
[TBL] [Abstract][Full Text] [Related]
24. Rapid Prediction of Moisture Content in Intact Green Coffee Beans Using Near Infrared Spectroscopy.
Adnan A; Hörsten DV; Pawelzik E; Mörlein AD
Foods; 2017 May; 6(5):. PubMed ID: 28534842
[TBL] [Abstract][Full Text] [Related]
25. Applying spectral peak area analysis in near-infrared spectroscopy moisture assays.
Brülls M; Folestad S; Sparén A; Rasmuson A; Salomonsson J
J Pharm Biomed Anal; 2007 May; 44(1):127-36. PubMed ID: 17391888
[TBL] [Abstract][Full Text] [Related]
26. Near infrared spectroscopy for high-throughput characterization of Shea tree (Vitellaria paradoxa) nut fat profiles.
Davrieux F; Allal F; Piombo G; Kelly B; Okulo JB; Thiam M; Diallo OB; Bouvet JM
J Agric Food Chem; 2010 Jul; 58(13):7811-9. PubMed ID: 20518501
[TBL] [Abstract][Full Text] [Related]
27. Prediction of alpaca fibre quality by near-infrared reflectance spectroscopy.
Canaza-Cayo AW; Alomar D; Quispe E
Animal; 2013 Jul; 7(7):1219-25. PubMed ID: 23535002
[TBL] [Abstract][Full Text] [Related]
28. [Nondestructive analysis of protein and fat in whole-kernel soybean by NIR].
Li N; Min SG; Qin FL; Zhang MX; Ye SF
Guang Pu Xue Yu Guang Pu Fen Xi; 2004 Jan; 24(1):45-9. PubMed ID: 15768973
[TBL] [Abstract][Full Text] [Related]
29. [Predicting the chemical composition of intact kernels in maize hybrids by near infrared reflectance spectroscopy].
Wei LM; Jiang HY; Li JH; Yan YL; Dai JR
Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Sep; 25(9):1404-7. PubMed ID: 16379276
[TBL] [Abstract][Full Text] [Related]
30. Application of near infrared reflectance spectroscopy for the evaluation of yam (Dioscorea alata) germplasm and breeding lines.
Lebot V; Malapa R
J Sci Food Agric; 2013 May; 93(7):1788-97. PubMed ID: 23255261
[TBL] [Abstract][Full Text] [Related]
31. [Comparison of PLS and SMLR for nondestructive determination of sugar content in honey peach using NIRS].
Xu HR; Wang HJ; Huang K; Ying YB; Yang C; Qian H; Hu J
Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Nov; 28(11):2523-6. PubMed ID: 19271481
[TBL] [Abstract][Full Text] [Related]
32. Determination of pH and acidity in green coffee using near-infrared spectroscopy and multivariate regression.
Araújo CDS; Macedo LL; Vimercati WC; Ferreira A; Prezotti LC; Saraiva SH
J Sci Food Agric; 2020 Apr; 100(6):2488-2493. PubMed ID: 31960433
[TBL] [Abstract][Full Text] [Related]
33. Near-infrared spectroscopy and multivariate calibration as an alternative to the Agtron to predict roasting degrees in coffee beans and ground coffees.
Pires FC; Pereira RGFA; Baqueta MR; Valderrama P; Alves da Rocha R
Food Chem; 2021 Dec; 365():130471. PubMed ID: 34252622
[TBL] [Abstract][Full Text] [Related]
34. Multivariate NIR spectroscopy models for moisture, ash and calorific content in biofuels using bi-orthogonal partial least squares regression.
Lestander TA; Rhén C
Analyst; 2005 Aug; 130(8):1182-9. PubMed ID: 16021218
[TBL] [Abstract][Full Text] [Related]
35. Fast and robust discrimination of almonds (Prunus amygdalus) with respect to their bitterness by using near infrared and partial least squares-discriminant analysis.
Borràs E; Amigo JM; van den Berg F; Boqué R; Busto O
Food Chem; 2014 Jun; 153():15-9. PubMed ID: 24491694
[TBL] [Abstract][Full Text] [Related]
36. [Discrimination of Varieties of Cabbage with Near Infrared Spectra Based on Principal Component Analysis and Successive Projections Algorithm].
Luo W; Du YZ; Zhang HL
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Nov; 36(11):3536-41. PubMed ID: 30198665
[TBL] [Abstract][Full Text] [Related]
37. Rapid evaluation of the quality of chestnuts using near-infrared reflectance spectroscopy.
Hu J; Ma X; Liu L; Wu Y; Ouyang J
Food Chem; 2017 Sep; 231():141-147. PubMed ID: 28449990
[TBL] [Abstract][Full Text] [Related]
38. Near-Infrared Spectroscopy Using a Supercontinuum Laser: Application to Long Wavelength Transmission Spectra of Barley Endosperm and Oil.
Ringsted T; Dupont S; Ramsay J; Jespersen BM; Sørensen KM; Keiding SR; Engelsen SB
Appl Spectrosc; 2016 Jul; 70(7):1176-85. PubMed ID: 27340221
[TBL] [Abstract][Full Text] [Related]
39. Application of near infrared spectroscopy for rapid analysis of intermediates of Tanreqing injection.
Li W; Xing L; Fang L; Wang J; Qu H
J Pharm Biomed Anal; 2010 Nov; 53(3):350-8. PubMed ID: 20457503
[TBL] [Abstract][Full Text] [Related]
40. Near-infrared spectroscopy and X-ray fluorescence data fusion for olive leaf analysis and crop nutritional status determination.
Comino F; Ayora-Cañada MJ; Aranda V; Díaz A; Domínguez-Vidal A
Talanta; 2018 Oct; 188():676-684. PubMed ID: 30029431
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
