共查询到19条相似文献,搜索用时 46 毫秒
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该研究开发一种快速、灵敏同时检测玉米、小麦和稻米中玉米赤霉烯酮(zearalenone,ZEN)和赭曲霉毒素A(ochratoxin A,OTA)的高效液相色谱检测方法。将样品采用乙腈/水(80/20,体积比),200 r/min,30℃振荡提取30 min后,经Oasis PRiME HLB固相萃取柱净化后,上样检测。该方法ZEN和OTA检测限(limit of detection,LOD)为3.7μg/kg和0.11μg/kg,定量限(quantification Limit,LOQ)为12.25μg/kg和0.38μg/kg,线性范围分别为10μg/kg^2000μg/kg和0.2μg/kg^200μg/kg,加标样品中不同浓度的ZEN和OTA回收率为83.0%~101.3%,日内精密度和日间精密度分别为3.12%~7.03%和3.57%~9.3%。该方法适用于玉米、小麦和稻米中ZEN和OTA的同时检测。 相似文献
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建立玉米中玉米赤霉烯酮(Zearalenone,ZEN)和赭曲霉毒素A(Ochratoxin A,OTA)的超高效液相色谱检测方法。样品用乙腈/水(90∶10,体积比)振荡提取,过滤后过真菌毒素净化柱,取上清液氮气吹干,用流动相溶解残渣,过0.22μm有机滤膜于进样瓶,采用高效液相色谱检测法(High Performance Liquid Chromatography,HPLC)分析。在ZORBAX SB-C18反相柱上分离后,ZEN以甲醇/水(60∶40,体积比)作为流动相,OTA以乙腈/水/乙酸(43∶56∶1,体积比)为流动相,荧光检测器检测。ZEN的线性范围为0.5μg/mL~6.0μg/mL,相关系数大于0.99;OTA的线性范围为0.05μg/mL~0.8μg/mL,相关系数大于0.99。3个不同水平的加标平均回收率为86.4%~114.1%,相对标准偏差不大于10%。ZEN和OTA的检测限分别为5.0μg/kg和1.0μg/kg。应用该方法对收集的不同玉米样品进行测定,发现ZEN和OTA污染较严重,超标率均为71.4%。该方法具有操作简单、灵敏度高、重现性好等特点,能够用于玉米样品中真菌毒素的测定。 相似文献
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乳酸菌抗真菌活性及其抑制真菌毒素的效果 总被引:10,自引:0,他引:10
讨论了乳酸菌抗真菌的活性及其清除真菌毒素的3种可能机制,即①乳酸菌通过对霉菌生长的直接抑制,从而抑制真菌毒素的形成;②通过产生代谢产物抑制真菌菌株或降解真菌毒素到无毒或毒性较低的化合物,以此降低真菌毒素的危害;③借助乳酸菌细胞壁与真菌毒素(黄曲霉毒素B1和玉米赤霉烯酮)的物理结合来清除介质中的毒素危害。乳酸菌的抗真菌活性和清除霉菌毒素的能力显然受到菌株、细胞浓度、细胞处理方式和环境条件的影响。新型发酵乳菌株筛选过程中应该考虑乳酸菌菌株的抗真菌活性及其清除真菌毒素的能力。 相似文献
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Arthur Tin-chung Yau Melva Yung-yung Chen Chi-ho Lam Yuk-yin Ho Ying Xiao 《Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment》2016,33(6):1026-1035
Dietary exposure of Hong Kong adults to mycotoxins and their metabolites including aflatoxins (AFs), ochratoxin A (OTA), fumonisins (FNs), deoxynivalenol (DON), acetyldeoxynivalenols (AcDONs) and zearalenone (ZEA) was estimated using the Total Diet Study (TDS) approach to assess the associated health risk to the local people. Sixty commonly consumed food items, collected in four seasons, were sampled and prepared as consumed. These mycotoxins were primarily found at low levels. The highest mean levels (upper bound) were: AFs, 1.50 µg kg–1 in legumes, nuts and seed; OTA, 0.22 µg kg–1 in sugars and confectionery; FNs, 9.76 µg kg–1 in cereals and their products; DON and AcDONs, 33.1 µg kg–1 in cereals and their products; and ZEA, 53.8 µg kg–1 in fats and oils. The estimated dietary exposures of Hong Kong adults to the mycotoxins analysed were well below the respective health-based guidance values, where available. For AFs, the upper-bound exposure for high consumers is 0.0049 µg kg bw–1 day–1, which was estimated to contribute to about 7.7 (< 1%) of liver cancer cases when compared with 1222 liver cancer cases per year in Hong Kong. The percentage contributions of the estimated 95th percentile dietary exposures (lower and upper bound) to the health-based guidance values of individual mycotoxins were: ochratoxin A, 3.6–9.2%; fumonisins, 0.04–8.5%; deoxynivalenol and acetyldeoxynivalenols, 21.7–28.2%; and zearalenone 3.3–34.5%. The findings indicate that dietary exposures to all the mycotoxins analysed in this study were unlikely to pose an unacceptable health risk to the Hong Kong population. 相似文献
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根据溴酸钾(KBrO3)可在酸性条件下氧化3,3',5,5'-四甲基联苯胺(TMB)而显色的原理,建立了小麦粉中溴酸钾定性检测的目视比色法和定量检测的分光光度法。研究了体系酸度、显色液用量、反应时间对显色的影响,并确立了最优化的实验条件。结果表明:在最优化实验条件下,显色体系的颜色随溴酸钾含量的升高而逐渐加深,溴酸钾浓度在0~4 mg/L范围内符合比尔定律,线性回归方程为ΔA=0.2437C-0.005 2,R2=0.999 3。可用于实际样品的测定,目视比色法可快速确定溴酸钾的含量范围,分光光度法的回收率为96.51%~101.70%,RSD为1.79%~3.12%,能够满足市场监管的需求。 相似文献
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《Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment》2013,30(12):1683-1693
Method validation for quantitative analysis of aflatoxins (AFs), ochratoxin A (OTA) and zearalenone (ZEA) in cereals using HPLC with fluorescence detector (FLD) is described. Mycotoxins were extracted with methanol?:?water (80?:?20) and purified with a multifunctional AOZ immunoaffinity column before HPLC analysis. The validation of the analytical method was performed to establish the following parameters: specificity, selectivity, linearity, limits of detection (LOD) and quantification (LOQ), accuracy, precision (within- and between-day variability), stability, robustness, measurement of performance, and measurement of uncertainty. Calibration curves were linear (r?>?0.999) over the concentration range, from the LOQ to 26, 40 and 400?ng/g for AFs, OTA and ZEA, respectively. LOD and LOQ were 0.0125 and 0.05?ng/g for aflatoxin B1 (AFB1) and G1 (AFG1), 0.0037 and 0.015?ng/g for aflatoxin B2 (AFB2) and G2 (AFG2), as well as 0.05 and 0.2?ng/g for OTA and 0.5 and 2?ng/g for ZEA, respectively. The mean recovery values were 77–104% for different concentrations of AFs, OTA and ZEA in spiked cereal samples. Both intra- and inter-day accuracy and precision were within acceptable limits. This method was successfully applied for the simultaneous determination of mycotoxins for 60 cereal samples collected from Malaysian markets. Fifty per cent of the cereal samples were contaminated with at least one of these mycotoxins, at a level greater than the LOD. Only one wheat sample and two rice samples were contaminated with levels greater than the European Union regulatory limits for AFs and OTA (4 and 5?ng/g). The means and ranges of mycotoxins obtained for the cereal samples were 0.4?ng/g and 0.01–5.9?ng/g for total AFs; 0.18?ng/g and 0.03–5.3?ng/g for OTA; and 2.8?ng/g and 2.4–73.1?ng/g for ZEA, respectively. The results indicate that the method is suitable for the simultaneous determination of AFs, OTA and ZEA in cereals and is suitable for routine analysis. 相似文献
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Miguel Machinski Lucia M Valente Soares Eduardo Sawazaki Denizart Bolonhezi Jairo L Castro Nelson Bortolleto 《Journal of the science of food and agriculture》2001,81(10):1001-1007
Past surveys indicated that the occurrence of aflatoxins, zearalenone and ochratoxin A was not a problem in corn and corn products in the state of São Paulo, Brazil. However, according to recent studies, a change in pattern has been detected. To obtain a better overview, these toxins were searched for in 110 samples of freshly harvested corn, corresponding to 48 commercial cultivars planted at three different locations in the state. Aflatoxin contamination was found in 60 (54.5%) of the samples, in levels ranging from 6 to 1600 µg kg?1 aflatoxin B1. Insect control was exercised, so this was not the main route of corn infection. Endosperm type, germplasm type, number of days to flowering, and length of time the mature corn remained in the field had no effect on aflatoxin contamination. Ochratoxin A was found in two samples (206 and 128 µg kg?1) and zearalenone in one sample (4640 µg kg?1). Possible causes of the increase in aflatoxin levels may lie in the changing nature of the commercial cultivars employed, associated with the forsaking of the original landraces, and in a change in the toxigenicity pattern of the corn mycoflora Aspergillus flavus/Aspergillus parasiticus prevailing strains. © 2001 Society of Chemical Industry 相似文献
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《Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment》2013,30(7):902-912
A reversed-phase HPLC optimization strategy is presented for investigating the separation and retention behavior of aflatoxin B1, B2, G1, G2, ochratoxin A and zearalenone, simultaneously. A fractional factorial design (FFD) was used to screen the significance effect of seven independent variables on chromatographic responses. The independent variables used were: (X1) column oven temperature (20–40°C), (X2) flow rate (0.8–1.2?ml/min), (X3) acid concentration in aqueous phase (0–2%), (X4) organic solvent percentage at the beginning (40–50%), and (X5) at the end (50–60%) of the gradient mobile phase, as well as (X6) ratio of methanol/acetonitrile at the beginning (1–4) and (X7) at the end (0–1) of gradient mobile phase. Responses of chromatographic analysis were resolution of mycotoxin peaks and HPLC run time. A central composite design (CCD) using response surface methodology (RSM) was then carried out for optimization of the most significant factors by multiple regression models for response variables. The proposed optimal method using 40°C oven temperature, 1?ml/min flow rate, 0.1% acetic acid concentration in aqueous phase, 41% organic phase (beginning), 60% organic phase (end), 1.92 ratio of methanol to acetonitrile (beginning) and 0.2 ratio (end) for X1–X7, respectively, showed good prediction ability between the experimental data and predictive values throughout the studied parameter space. Finally, the optimized method was validated by measuring the linearity, sensitivity, accuracy and precision parameters, and has been applied successfully to the analysis of spiked cereal samples. 相似文献