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Titolo:
Rapid qualitative and quantitative evaluation of deer antler (Cervus elaphus) using near-infrared reflectance spectroscopy
Autore:
Cho, CH; Woo, YA; Kim, HJ; Chung, YJ; Chang, SY; Chung, H;
Indirizzi:
Dongduk Womens Univ, Coll Pharm, Seoul 136814, South Korea Dongduk Womens Univ Seoul South Korea 136814 , Seoul 136814, South Korea Korea Food & Drug Adm, Seoul, South Korea Korea Food & Drug Adm Seoul South Korea & Drug Adm, Seoul, South Korea SK Corp, NIR Project Team, Ulsan, South Korea SK Corp Ulsan South KoreaSK Corp, NIR Project Team, Ulsan, South Korea
Titolo Testata:
MICROCHEMICAL JOURNAL
fascicolo: 2-3, volume: 68, anno: 2001,
pagine: 189 - 195
SICI:
0026-265X(200103)68:2-3<189:RQAQEO>2.0.ZU;2-0
Fonte:
ISI
Lingua:
ENG
Soggetto:
GROWING ANTLERS; GROWTH;
Keywords:
near-infrared reflectance spectroscopy; habitat; ash; Cercus elaphus; partial least squares; soft independence modeling of class analogies;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Kim, HJ Dongduk Womens Univ, Coll Pharm, Seoul 136814, South Korea DongdukWomens Univ Seoul South Korea 136814 136814, South Korea
Citazione:
C.H. Cho et al., "Rapid qualitative and quantitative evaluation of deer antler (Cervus elaphus) using near-infrared reflectance spectroscopy", MICROCHEM J, 68(2-3), 2001, pp. 189-195

Abstract

Near-infrared (NIR) spectroscopy has been applied for both the qualitativeand quantitative evaluation of the velvet deer antler. The most important parameters of determining the quality of velvet antler are the habitat (thecountry of origin) and ash content. Conventionally, the habitat is determined by examining the appearance of samples (by human eye), which lacks objectivity. Ash content is measured by an ignition method (measurement ash residue), however, it is too slow (4-5 h) to be used for rapid at-site measurement. Velvet antlers from three different habitats (China, New Zealand, andRussia), albeit the same species of Cervus elaphus, were evaluated in thispaper. Soft independence modeling of class analogies (SIMCA) and partial least squares (PLS) were used for classification of habitat and determination of ash content. The habitat was successfully identified with over 80% accuracy, and the ash content prediction result using PLS regression showed good correlation with the reference ignition method with a standard error of prediction (SEP) of 1.264%. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 29/03/20 alle ore 18:20:11