TY - JOUR
T1 - Development of chemometric models using infrared spectroscopy (MID-FTIR) for detection of sulfathiazole and oxytetracycline residues in honey
AU - Hernández, Karina Uribe
AU - Velázquez, Tzayhrí Gallardo
AU - Revilla, Guillermo Osorio
AU - Abarca, Norma Almaraz
AU - Martínez, Maylet Hernández
N1 - Publisher Copyright:
© 2015, The Korean Society of Food Science and Technology and Springer Science+Business Media Dordrecht.
PY - 2015/8/3
Y1 - 2015/8/3
N2 - Chemometric models using mid-infrared (MID-FTIR) spectroscopy were developed for detection and quantification of oxytetracycline and sulfathiazole contamination in honey samples. Low standard error of calibration (SEC) and prediction (SEP) values were achieved using a partial least squares algorithm (SEC= 1.02 and SEP=1.39 for oxytetracycline and SEC=1.24 and SEP=1.79 for sulfathiazole). Chemometric model-predicted concentrations of antibiotics were compared with ELISA results with coefficient of determination R2=0.8577 for oxytetracycline and R2=0.8216 for sulfathiazole. Classification of antibiotic contaminated honey samples and uncontaminated samples was carried out using Soft Independent Modeling Class Analogy analysis with a 100% correct classification rate with interclass distances in the range of 6.93–13.3. MID-FTIR chemometric models developed for detection and quantification of oxitetracycline and sulfathiazole in honey samples have been demonstrated.
AB - Chemometric models using mid-infrared (MID-FTIR) spectroscopy were developed for detection and quantification of oxytetracycline and sulfathiazole contamination in honey samples. Low standard error of calibration (SEC) and prediction (SEP) values were achieved using a partial least squares algorithm (SEC= 1.02 and SEP=1.39 for oxytetracycline and SEC=1.24 and SEP=1.79 for sulfathiazole). Chemometric model-predicted concentrations of antibiotics were compared with ELISA results with coefficient of determination R2=0.8577 for oxytetracycline and R2=0.8216 for sulfathiazole. Classification of antibiotic contaminated honey samples and uncontaminated samples was carried out using Soft Independent Modeling Class Analogy analysis with a 100% correct classification rate with interclass distances in the range of 6.93–13.3. MID-FTIR chemometric models developed for detection and quantification of oxitetracycline and sulfathiazole in honey samples have been demonstrated.
KW - FTIR
KW - chemometric
KW - honey
KW - oxytetracycline
KW - sulfathiazole
UR - http://www.scopus.com/inward/record.url?scp=84938336419&partnerID=8YFLogxK
U2 - 10.1007/s10068-015-0156-2
DO - 10.1007/s10068-015-0156-2
M3 - Artículo
SN - 1226-7708
VL - 24
SP - 1219
EP - 1226
JO - Food Science and Biotechnology
JF - Food Science and Biotechnology
IS - 4
ER -