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Volumn 132, Issue 10, 2007, Pages 1024-1030

Multi-layered analyses using directed partitioning to identify and discriminate between biogenic amines

Author keywords

[No Author keywords available]

Indexed keywords

ALIPHATIC AMINE; AROMATIC AMINE; BIOGENIC AMINE; POLYMER;

EID: 34748890552     PISSN: 00032654     EISSN: None     Source Type: Journal    
DOI: 10.1039/b708583d     Document Type: Article
Times cited : (47)

References (48)
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    • E. Kress-Rogers and C. J. B. Brimelow, CRC Press: Boca Raton, Fl, pp 553-662
    • E. Kress-Rogers, Sensors for food flavour and freshness: Electronic noses, tongues and testers, in Instrumentation and Sensors for the Food Industry, ed., E. Kress-Rogers, and, C. J. B. Brimelow, CRC Press: Boca Raton, Fl, 2001, 2nd edn, pp 553-662
    • (2001) Instrumentation and Sensors for the Food Industry, Ed.
    • Kress-Rogers, E.1
  • 27
    • 0002270239 scopus 로고
    • The Formation of Diamines and Polyamines During the Storage of Mackerel (Scomber scombrus) ed. J. J. Connell, Fishing News Ltd., Farnham, UK
    • A. H. Ritchie and I. M. Mackie, The Formation of Diamines and Polyamines During the Storage of Mackerel (Scomber scombrus), in Advance in Fish Science and Technology, ed. J. J. Connell, Fishing News Ltd., Farnham, UK, 1980, pp. 489-494
    • (1980) Advance in Fish Science and Technology , pp. 489-494
    • Ritchie, A.H.1    MacKie, I.M.2
  • 32
    • 0011804016 scopus 로고
    • Developments in Characterization of Foods Using Antibodies
    • ed., A. G. Gaonkar, Elsevier Science, New York ch 15
    • Z. M. Merchant and S. G. G. Cheng, Developments in Characterization of Foods Using Antibodies, in Characterization of Foods: Emerging Methods, ed., A. G. Gaonkar, Elsevier Science, New York, 1995, ch 15
    • (1995) Characterization of Foods: Emerging Methods
    • Merchant, Z.M.1    Cheng, S.G.G.2
  • 40
    • 34748833394 scopus 로고    scopus 로고
    • Systat, Systat Software, Inc 2004, Version 11.00.01
    • Systat, Systat Software, Inc 2004, Version 11.00.01
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    • Statistica, StatSoft, Inc 2003, Version 6.1
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    • XL Miner, QuantLink, 2005, Version 3.0.0
    • XL Miner, QuantLink, 2005, Version 3.0.0
  • 47
    • 34548160460 scopus 로고    scopus 로고
    • 10.1021/ol071065a Using LDA, variation within group is minimized while differences between groups are maximized Leave-one-out cross-validation successively removes each sample from the data set while recomputing discriminant functions based on the remaining samples. Classification errors for each sample are then obtained without using that sample to calculate the discriminant model and assessing the model's ability to correctly identify the removed sample. Thus, the estimates of the classification accuracies for each sample were independent of the discriminant model. For example see:
    • M. S. Maynor T. L. Nelson C. O'Sullivan J. J. Lavigne Org. Lett. 2007 10.1021/ol071065a
    • (2007) Org. Lett.
    • Maynor, M.S.1    Nelson, T.L.2    O'Sullivan, C.3    Lavigne, J.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.