赭曲霉毒素A
黄曲霉毒素
化学
真菌毒素
色谱法
食品科学
作者
Felix Y.H. Kutsanedzie,Akwasi Akomeah Agyekum,Viswadevarayalu Annavaram,Quansheng Chen
出处
期刊:Food Chemistry
[Elsevier]
日期:2020-01-20
卷期号:315: 126231-126231
被引量:129
标识
DOI:10.1016/j.foodchem.2020.126231
摘要
• AgNPs@pH-11 gave the highest and most stable SERS enhancement factor. • AgNPs @pH-11 was used to fabricate SERS-nanosensor with low LODs. • The SERS-nanosensor detected ochratoxin and aflatoxin in cocoa beans at pg/mL level. • The sensor coupled to chemometric algorithms rapidly detected toxins in cocoa beans. Ochratoxin-A (OTA) and aflatoxin-B1 (AFT-B1) pose debilitating health threats to consumers and therefore require rapid monitoring with sensors. This work synthesized silver nanoparticles (AgNPs) within (4 ≤ pH ≤ 11) ± 0.2 to attain different enhancement-factors (EF). AgNP@pH-11 which gave the highest SERS-EF (1.45 × 10 8 ) was selected to fabricate SERS-sensor; and coupled to two chemometric algorithms for the prediction of OTA and AFT-B1 in prepared standard solutions (SS) and spiked-cocoa-beans samples (SCBS). The LOD for OTA (2.63 pg/mL) and AFT-B1 (4.15 pg/mL) in the SCBS were lower compared with 0.002 µg/mL. The built-models recorded residual-predictive-deviations above 3. Obtained recovery rates of 96–110%; and the low coefficients of variation (2.12–8.07%) realized for both toxins suggest the predicted results are reproducible. The SERS-sensor holds promise for the rapid quantification of OTA and AFT-B1 at pg/mL level in cocoa beans to enable safety assurance in the cocoa beans industry.
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