Moldy sugarcane poisoning, an acute fatal food poisoning of unknown etiology, has occurred in 13 provinces in China. The epidemiological characteristics and clinical features were described. Evidence from laboratory s...Moldy sugarcane poisoning, an acute fatal food poisoning of unknown etiology, has occurred in 13 provinces in China. The epidemiological characteristics and clinical features were described. Evidence from laboratory studies indicates that 3-nitropropionic acid roduced by the fungus Arthrinium Spp. is the etiological factor of this food poisoning.展开更多
Zeranol (Z) is an estrogenic growth-promoting agent synthesized from mycotoxin zearalenone (Zen). Inadvertent consumption of Z and its structural analogs from meat or grain products remain a food safety concern. An ec...Zeranol (Z) is an estrogenic growth-promoting agent synthesized from mycotoxin zearalenone (Zen). Inadvertent consumption of Z and its structural analogs from meat or grain products remain a food safety concern. An economic and rapid high performance liquid chromatography method with electrochemical detection using disposable screen-printed carbon electrode is developed for determination of Z, Zen and 3 major metabolic analogs α-zearalenol (α-Ze), β-zearalenol (β-Ze), and β-zearalanol (β-Za). The electrochemical method was validated for application in food matrices including beef, pork, feed and cereal after optimized liquid and/or solid-phase extraction procedures. All 5 Z analogs were separated in 10 minutes with the limits of detection ranging from 15 ng/ml for α-Ze and 25 ng/ml for Z and Zen;the limit of quantitation ranged from 40 50 ng/ml. The recoveries were all above 75% regardless of matrix types and extraction procedures. The intra and inter day variations were both less than 6% at the nominal concentration of 1 μg/ml and less than 13% at 100 ng/ml level. Chromatographically time-matched peaks of Z, α-Ze and β-Za were observed in moldy feed, cereal and rice with high productivity, indicating possible grain-specific Zs exposure for animals and human. Proper exercise of preservative procedures for grain and grain products to prevent it from mold production is imperative. The simplicity and reproducibility of this method affords quick and reliable quantitation of multiple types of Z analogs in food products and can offer semi-confirmative information comparable to UV detection and supplementary to ELISA screening.展开更多
A detection method based on transmittance spectroscopy and support vector machine(SVM)was proposed to achieve rapid nondestructive detection of moldy core in apples.A visible to near-infrared(Vis/NIR)spectroradiometer...A detection method based on transmittance spectroscopy and support vector machine(SVM)was proposed to achieve rapid nondestructive detection of moldy core in apples.A visible to near-infrared(Vis/NIR)spectroradiometer was used for scanning transmittance spectra of 215 apple samples in the wavelength range of 200-1025 nm.Wavelet transform was used to reduce the dimensionality of the spectra and extract wavelet coefficients.Two classification algorithms including artificial neural network(ANN)and SVM were used to develop models whose parameters were optimized by genetic algorithms(GA)for determination of the presence and types of moldy core in apples.Comparisons results of the models showed that the GA-SVM model obtained the optimal result with an accuracy of 96.92%for detecting the presence of moldy core and 81.48%for distinguishing symptom types of the disease.These results indicate that it is feasible to detect moldy core in apples nondestructively and rapidly based on transmittance spectroscopy and that wavelet transform is an effective method for extraction of characteristics from spectra.Moreover,the GA-SVM algorithm in conjunction with Vis/NIR transmittance spectroscopy can accurately achieve fast and nondestructive detection of the presence and types of moldy core in apples.展开更多
文摘Moldy sugarcane poisoning, an acute fatal food poisoning of unknown etiology, has occurred in 13 provinces in China. The epidemiological characteristics and clinical features were described. Evidence from laboratory studies indicates that 3-nitropropionic acid roduced by the fungus Arthrinium Spp. is the etiological factor of this food poisoning.
文摘Zeranol (Z) is an estrogenic growth-promoting agent synthesized from mycotoxin zearalenone (Zen). Inadvertent consumption of Z and its structural analogs from meat or grain products remain a food safety concern. An economic and rapid high performance liquid chromatography method with electrochemical detection using disposable screen-printed carbon electrode is developed for determination of Z, Zen and 3 major metabolic analogs α-zearalenol (α-Ze), β-zearalenol (β-Ze), and β-zearalanol (β-Za). The electrochemical method was validated for application in food matrices including beef, pork, feed and cereal after optimized liquid and/or solid-phase extraction procedures. All 5 Z analogs were separated in 10 minutes with the limits of detection ranging from 15 ng/ml for α-Ze and 25 ng/ml for Z and Zen;the limit of quantitation ranged from 40 50 ng/ml. The recoveries were all above 75% regardless of matrix types and extraction procedures. The intra and inter day variations were both less than 6% at the nominal concentration of 1 μg/ml and less than 13% at 100 ng/ml level. Chromatographically time-matched peaks of Z, α-Ze and β-Za were observed in moldy feed, cereal and rice with high productivity, indicating possible grain-specific Zs exposure for animals and human. Proper exercise of preservative procedures for grain and grain products to prevent it from mold production is imperative. The simplicity and reproducibility of this method affords quick and reliable quantitation of multiple types of Z analogs in food products and can offer semi-confirmative information comparable to UV detection and supplementary to ELISA screening.
基金National High-tech Research and Development Projects(863)(2013AA10230402)National Natural Science Foundation of China(61473235)the Major Pilot Projects of the Agro-Tech Extension and Service in Shaanxi(2016XXPT-05).
文摘A detection method based on transmittance spectroscopy and support vector machine(SVM)was proposed to achieve rapid nondestructive detection of moldy core in apples.A visible to near-infrared(Vis/NIR)spectroradiometer was used for scanning transmittance spectra of 215 apple samples in the wavelength range of 200-1025 nm.Wavelet transform was used to reduce the dimensionality of the spectra and extract wavelet coefficients.Two classification algorithms including artificial neural network(ANN)and SVM were used to develop models whose parameters were optimized by genetic algorithms(GA)for determination of the presence and types of moldy core in apples.Comparisons results of the models showed that the GA-SVM model obtained the optimal result with an accuracy of 96.92%for detecting the presence of moldy core and 81.48%for distinguishing symptom types of the disease.These results indicate that it is feasible to detect moldy core in apples nondestructively and rapidly based on transmittance spectroscopy and that wavelet transform is an effective method for extraction of characteristics from spectra.Moreover,the GA-SVM algorithm in conjunction with Vis/NIR transmittance spectroscopy can accurately achieve fast and nondestructive detection of the presence and types of moldy core in apples.
