Determination of Aflatoxins in Grains and Raw Peanuts by a Rapid Procedure with Fluorometric Analysis

Malone, B.; Humphrey, Craig W.; Romer, Tom R; Richard, J. L.

doi:10.1093/jaoac/83.1.95

Cited by 23 publications

(7 citation statements)

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“…Since contamination of food products and feeding stuffs with aflatoxin B1 comprises about 75% out of total mycotoxin contamination [4], development of a fast and reliable method of its detection is of great importance. A number of traditional instrumental analytical [5,6] as well as immunochemical [6][7][8][9] methods were developed for aflatoxin detection. Chromatographic methods, such as TLC [10], HPLC [11] and LC-MS [7] as well as ELISA-based commerciallyavailable test-systems, are the most widely used analytical methods for detection of aflatoxin B1.…”

Section: Introductionmentioning

confidence: 99%

Development of a smartphone-based biomimetic sensor for aflatoxin B1 detection using molecularly imprinted polymer membranes

Sergeyeva

Yarynka

Piletska

et al. 2019

Talanta

106

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A novel smartphone-based optical biomimetic sensor based on free-standing molecularly imprinted polymer (MIP) membranes was developed for rapid and sensitive point-of-care detection of aflatoxin B1. The developed MIP membranes were capable of selective recognition of the target analyte and, at the same time, of generation of a fluorimetric sensor response, which could be registered using the camera of a smartphone and analysed using image analysis. The developed system provides a possibility of synchronous detection of aflatoxin B1 in 96 channels. UV irradiation of aflatoxin B1, selectively bound by the MIP membranes from the analysed samples, initiated fluorescence of aflatoxin B1 with intensity directly proportional to its concentration. The composition of the MIP membranes used as a recognition element was optimised taking into account data of computational modelling. Two functional monomers (2-acrylamido-2-methyl-1-propansulfonic acid and acrylamide) were identified as optimal for the formation of aflatoxin B1-selective binding sites in the structure of the MIP membranes. Working characteristics of the smartphone-based sensor system were also estimated. The influence of pH and of buffer and NaCl concentrations on the smartphonebased sensor responses were studied. High selectivity of the developed sensor system towards aflatoxin B1 was confirmed in experiments with close structural analogues of the target analyteaflatoxin G2, and ochratoxin A. The detection limit for aflatoxin B1 using the smartphone-based sensor systems was found to be 20 ng mL-1 for the sensor based on MIP membranes synthesised with acrylamide as a functional monomer. The storage stability of the recognition elements of the developed sensors was estimated as one year when stored at 22°C. The possibility to detect the aflatoxin B1 in contaminated food samples was shown. The MIP-membrane-based sensor system provided a convenient point-of-care approach in food safety testing.

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Section: Introductionmentioning

confidence: 99%

Development of a smartphone-based biomimetic sensor for aflatoxin B1 detection using molecularly imprinted polymer membranes

Sergeyeva

Yarynka

Piletska

et al. 2019

Talanta

106

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“…They occur widely in food, especially in corn, nuts, peanuts, coconut, fruits, dried fruits, beer, etc. (Malone et al, 2000;Chiavaro et al, 2001;Blesa et al, 2003). They have also been found in medicinal herbs (Roy et al, 1988;Abeywickrama and Bean, 1991;Reif and Metzger, 1995;Han et al, 2010) that are not fully dried or stored improperly (e.g.…”

Section: Introductionmentioning

confidence: 99%

Determination of Aflatoxins in Medicinal Herbs by High‐performance Liquid Chromatography–Tandem Mass Spectrometry

Liu

Jin

Sun

et al. 2012

Phytochemical Analysis

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This simple and accurate method effectively eliminates false positive detection and can be used to determine the AFs in medicinal herbs to control product quality. We found that in the 174 samples tested, 27 were contaminated with AFs. The incidences of AFB1, AFB2, AFG1 and AFG2 in the samples tested were 15.52%, 14.37%, 6.32% and 2.30%, respectively. We proposed 10 µg/kg total AFs and 5 µg/kg AFB1 as the reasonable maximum limits (ML) in medicinal herbs, and there are 10 samples (5.71% occurrence) in our test that exceeded this proposed limit.

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“…Fluorometric assays require the use of specific columns, a solid phase extraction (SPE) or an immunoaffinity (IAC) column, for the purification and enrichment of a preliminary solvent extract prior to analysis with a fluorometer. The purification step results in the reduction or elimination of matrix effects and purification from unspecific fluorescent compounds that could generate false-positive results [157,158]. There are various SPE and IAC products for mycotoxins commercially available to couple with fluorometry readers, which can generate semi-quantitative results within minutes at on-site analysis.…”

Section: Fluorometric Assaysmentioning

confidence: 99%

Recent Advances in Mycotoxin Analysis and Detection of Mycotoxigenic Fungi in Grapes and Derived Products

Kizis

Vichou

Natskoulis³

2021

Sustainability

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Mycotoxins are secondary metabolites of filamentous fungi that can cause toxic effects in human and animal health. Most of the filamentous fungi that produce these mycotoxins belong to four genera, namely, Aspergillus, Penicillium, Fusarium, and Alternaria. Mycotoxigenic fungi, along with mycotoxins, create a constant and serious economic threat for agriculture in many terms, counting product losses due to crop contamination and food spoilage, as well malnutrition when considering nutritional quality degradation. Given the importance of robust and precise diagnostics of mycotoxins and the related producing fungi in the grape food chain, one of the most important agricultural sectors worldwide, the present review initially delivers a comprehensive presentation of mycotoxin reports on grape and derived products, including a wide range of commodities such as fresh grapes, raisins, wine, juices, and other processed products. Next, based on worldwide regulations’ requirements for mycotoxins, and referring to the relative literature, this work presents methodological approaches for mycotoxin determination, and stresses major methods for the detection of fungal species responsible for mycotoxin production. The principle of function and basic technical background on the available analytical and molecular biology techniques developed—including chromatography, mass spectrometry, immunochemical-based assays, biosensors, and molecular assays—is briefly given, and references for their application to grape and derived product testing are highlighted.

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Determination of Aflatoxins in Grains and Raw Peanuts by a Rapid Procedure with Fluorometric Analysis

Cited by 23 publications

References 0 publications

Development of a smartphone-based biomimetic sensor for aflatoxin B1 detection using molecularly imprinted polymer membranes

Development of a smartphone-based biomimetic sensor for aflatoxin B1 detection using molecularly imprinted polymer membranes

Determination of Aflatoxins in Medicinal Herbs by High‐performance Liquid Chromatography–Tandem Mass Spectrometry

Recent Advances in Mycotoxin Analysis and Detection of Mycotoxigenic Fungi in Grapes and Derived Products

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