Extension of self-modeling curve resolution to mixtures of more than three components. Part 2. Finding the complete solution

Chemometrics and Intelligent Laboratory Systems

Volumn 49, Issue 1, 1999, Pages 67-77

  Kim, Bong Mann ^a   Henry, Ronald C ^b  

^a SOUTH COAST AIR QUALITY MANAGEMENT DISTRICT   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Additional physical constraints; Linear programming; Mixtures; SAFER model; Self modeling curve resolution

Indexed keywords

ALGORITHM; ANALYTICAL ERROR; ARTICLE; CHEMOMETRICS; COMPUTER SIMULATION; DRUG IDENTIFICATION; DRUG MIXTURE; INFORMATION PROCESSING; MODEL; PRIORITY JOURNAL; TECHNIQUE;

EID: 0032782503     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(99)00029-5     Document Type: Article

References (10)

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3. Borgen O.S., Kowalski B.R. An extension of the multivariate component-resolution method to three components. Analytica Chimica Acta. 174:1985;1-26.
4. G. Helzer, Applied Linear Algebra with APL, Little, Brown and Company, Boston, MA, 1983, pp. 422-429.
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8. 10 data, Atmospheric Environment (1999) (accepted).
9. B.M. Kim, Development of a new multivariate receptor model and its application to Los Angeles airborne particle data, PhD, dissertation, University of Southern California, Los Angeles, CA, 1989.
10. B.M. Kim, R. Lewis, H. Hogo, J.C. Chow, Source Apportionment by chemical mass balance: a comparison between measured source profiles and SAFER model estimated source profiles, in: J.C. Chow, D.M. Ono (Eds.), Transactions, PM10 Standards and Nontraditional Particulate Source Controls, Vol. 1, Air and Waste Management Association, 1992, pp. 146-162.