Quantification of ternary mixtures of heavy metal cations from metallochromic absorbance spectra using neural network inversion

Analytical Chemistry

Volumn 76, Issue 19, 2004, Pages 5726-5733

  Mikami, Dan ^a   Ohki, Toshifumi ^a   Yamaji, Ken ^a   Ishihara, Saeko ^a   Citterio, Daniel ^b   Hagiwara, Masafumi ^a   Suzuki, Koji ^a,b,c  

^a KEIO UNIVERSITY   (Japan)

^b KANAGAWA ACADEMY OF SCIENCE AND TECHNOLOGY   (Japan)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ABSORPTION; CHEMICAL SENSORS; CORRELATION METHODS; DATA REDUCTION; MATHEMATICAL MODELS; NEURAL NETWORKS; SOLUTIONS; SPECTROPHOTOMETRY; ZINC COMPOUNDS;

ABSORPTION SPECTRUM; ARTIFICIAL NEURAL NETWORK INVERSION (ANNI); OPTICAL SIGNALS; TERNARY MIXTURES;

HEAVY METALS;

CADMIUM; CATION; HEAVY METAL; MERCURY; ZINC;

ABSORPTION SPECTROPHOTOMETRY; ABSORPTION SPECTROSCOPY; AQUEOUS SOLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; OPTICS; QUANTITATIVE ANALYSIS; SENSOR; SIGNAL DETECTION;

EID: 4744372121     PISSN: 00032700     EISSN: None     Source Type: Journal    
DOI: 10.1021/ac040024e     Document Type: Article

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