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361 related items for PubMed ID: 23983143
1. Study on discrimination of white tea and albino tea based on near-infrared spectroscopy and chemometrics. Chen Y, Deng J, Wang Y, Liu B, Ding J, Mao X, Zhang J, Hu H, Li J. J Sci Food Agric; 2014 Mar 30; 94(5):1026-33. PubMed ID: 23983143 [Abstract] [Full Text] [Related]
2. Authentication of pure camellia oil by using near infrared spectroscopy and pattern recognition techniques. Li S, Zhu X, Zhang J, Li G, Su D, Shan Y. J Food Sci; 2012 Apr 30; 77(4):C374-80. PubMed ID: 22429109 [Abstract] [Full Text] [Related]
3. Discrimination of Sri Lankan black teas using fluorescence spectroscopy and linear discriminant analysis. Seetohul LN, Scott SM, O'Hare WT, Ali Z, Islam M. J Sci Food Agric; 2013 Jul 30; 93(9):2308-14. PubMed ID: 23371833 [Abstract] [Full Text] [Related]
4. Discrimination of Ganoderma lucidum according to geographical origin with near infrared diffuse reflectance spectroscopy and pattern recognition techniques. Chen Y, Xie MY, Yan Y, Zhu SB, Nie SP, Li C, Wang YX, Gong XF. Anal Chim Acta; 2008 Jun 23; 618(2):121-30. PubMed ID: 18513533 [Abstract] [Full Text] [Related]
5. Study on discrimination of Roast green tea (Camellia sinensis L.) according to geographical origin by FT-NIR spectroscopy and supervised pattern recognition. Chen Q, Zhao J, Lin H. Spectrochim Acta A Mol Biomol Spectrosc; 2009 May 23; 72(4):845-50. PubMed ID: 19155188 [Abstract] [Full Text] [Related]
6. Predicting the age and type of tuocha tea by fourier transform infrared spectroscopy and chemometric data analysis. Xu L, Deng DH, Cai CB. J Agric Food Chem; 2011 Oct 12; 59(19):10461-9. PubMed ID: 21899255 [Abstract] [Full Text] [Related]
7. Study of aroma formation and transformation during the manufacturing process of Biluochun green tea in Yunnan Province by HS-SPME and GC-MS. Wang C, Lv S, Wu Y, Lian M, Gao X, Meng Q. J Sci Food Agric; 2016 Oct 12; 96(13):4492-8. PubMed ID: 26858163 [Abstract] [Full Text] [Related]
8. Validation of origins of tea samples using partial least squares analysis and Euclidean distance method with near-infrared spectroscopy data. He W, Zhou J, Cheng H, Wang L, Wei K, Wang W, Li X. Spectrochim Acta A Mol Biomol Spectrosc; 2012 Feb 12; 86():399-404. PubMed ID: 22112575 [Abstract] [Full Text] [Related]
9. Chilean flour and wheat grain: tracing their origin using near infrared spectroscopy and chemometrics. González-Martín MI, Wells Moncada G, González-Pérez C, Zapata San Martín N, López-González F, Lobos Ortega I, Hernández-Hierro JM. Food Chem; 2014 Feb 15; 145():802-6. PubMed ID: 24128548 [Abstract] [Full Text] [Related]
11. Classification of structurally related commercial contrast media by near infrared spectroscopy. Yip WL, Soosainather TC, Dyrstad K, Sande SA. J Pharm Biomed Anal; 2014 Mar 15; 90():148-60. PubMed ID: 24374816 [Abstract] [Full Text] [Related]
12. Cognitive spectroscopy for evaluating Chinese black tea grades (Camellia sinensis): near-infrared spectroscopy and evolutionary algorithms. Ren G, Sun Y, Li M, Ning J, Zhang Z. J Sci Food Agric; 2020 Aug 15; 100(10):3950-3959. PubMed ID: 32329077 [Abstract] [Full Text] [Related]
13. Usefulness of near-infrared reflectance (NIR) spectroscopy and chemometrics to discriminate fishmeal batches made with different fish species. Cozzolino D, Chree A, Scaife JR, Murray I. J Agric Food Chem; 2005 Jun 01; 53(11):4459-63. PubMed ID: 15913311 [Abstract] [Full Text] [Related]
14. Characterization of tea cultivated at four different altitudes using 1H NMR analysis coupled with multivariate statistics. Ohno A, Oka K, Sakuma C, Okuda H, Fukuhara K. J Agric Food Chem; 2011 May 25; 59(10):5181-7. PubMed ID: 21456619 [Abstract] [Full Text] [Related]
15. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins. Cozzolino D, Smyth HE, Gishen M. J Agric Food Chem; 2003 Dec 17; 51(26):7703-8. PubMed ID: 14664532 [Abstract] [Full Text] [Related]
17. Evaluation of matcha tea quality index using portable NIR spectroscopy coupled with chemometric algorithms. Wang J, Zareef M, He P, Sun H, Chen Q, Li H, Ouyang Q, Guo Z, Zhang Z, Xu D. J Sci Food Agric; 2019 Aug 30; 99(11):5019-5027. PubMed ID: 30977141 [Abstract] [Full Text] [Related]
18. Identification of tea based on CARS-SWR variable optimization of visible/near-infrared spectrum. Yun L, Qing-Wei P, Jian-Cheng Y, Yan-Lin T. J Sci Food Agric; 2020 Jan 15; 100(1):371-375. PubMed ID: 31577843 [Abstract] [Full Text] [Related]
19. Determination of quality constituents in the young leaves of albino tea cultivars. Feng L, Gao MJ, Hou RY, Hu XY, Zhang L, Wan XC, Wei S. Food Chem; 2014 Jul 15; 155():98-104. PubMed ID: 24594160 [Abstract] [Full Text] [Related]