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Signal-enhanced SERS-sensors of CAR-PLS and GA-PLS coupled AgNPs for ochratoxin A and aflatoxin B1 detection.
Food Chemistry ( IF 8.8 ) Pub Date : 2020-01-20 , DOI: 10.1016/j.foodchem.2020.126231
Felix Y H Kutsanedzie 1 , Akwasi A Agyekum 2 , Viswadevarayalu Annavaram 2 , Quansheng Chen 2
Affiliation  

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 × 108) 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.

中文翻译:

CAR-PLS和GA-PLS偶联AgNP的信号增强型SERS传感器可用于检测曲霉毒素A和黄曲霉毒素B1。

ch曲毒素A(OTA)和黄曲霉毒素B1(AFT-B1)对消费者的健康构成威胁,因此需要使用传感器进行快速监控。这项工作合成了(4≤pH≤11)±0.2以内的银纳米颗粒(AgNPs),以获得不同的增强因子(EF)。选择具有最高SERS-EF(1.45×108)的AgNP @ pH-11来制造SERS传感器。并与两种化学计量学算法相结合,用于预测制备的标准溶液(SS)和加标可可豆样品(SCBS)中的OTA和AFT-B1。与0.002 µg / mL相比,SCBS中OTA(2.63 pg / mL)和AFT-B1(4.15 pg / mL)的LOD较低。建模型记录了3以上的残余预测偏差。获得了96-110%的回收率;两种毒素实现的低变异系数(2.12-8.07%)表明预测结果是可重现的。
更新日期:2020-01-21
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