| Literature DB >> 34210086 |
Edyta Janik1, Marcin Niemcewicz1, Marcin Podogrocki1, Michal Ceremuga2, Leslaw Gorniak1, Maksymilian Stela3, Michal Bijak1.
Abstract
Mycotoxins represent a wide range of secondary, naturally occurring and practically unavoidable fungal metabolites. They contaminate various agricultural commodities like cereals, maize, peanuts, fruits, and feed at any stage in pre- or post-harvest conditions. Consumption of mycotoxin-contaminated food and feed can cause acute or chronic toxicity in human and animals. The risk that is posed to public health have prompted the need to develop methods of analysis and detection of mycotoxins in food products. Mycotoxins wide range of structural diversity, high chemical stability, and low concentrations in tested samples require robust, effective, and comprehensible detection methods. This review summarizes current methods, such as chromatographic and immunochemical techniques, as well as novel, alternative approaches like biosensors, electronic noses, or molecularly imprinted polymers that have been successfully applied in detection and identification of various mycotoxins in food commodities. In order to highlight the significance of sampling and sample treatment in the analytical process, these steps have been comprehensively described.Entities:
Keywords: analitycal methods; chemical analysis; food safety; human health; mycotoxins
Mesh:
Substances:
Year: 2021 PMID: 34210086 PMCID: PMC8271920 DOI: 10.3390/molecules26133981
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Extraction methods, solvent, advantages, and disadvantages.
| Method | Solvent | Advantages | Disadvantages | References |
|---|---|---|---|---|
| QuEChERS | Acetonitrile, acetonitrile/acetic acid, acetonitrile/citric acid, acetonitrile/formic acid | Fast, simple, economical, reproducibility and applicability | Low enrichment factor in extracts of lipophilic compounds and the need for original modifications of the procedure | [ |
| LLE | Hexane, cyclohexane | Effective for small-scale preparations | Does not provide a sufficiently clean analyte in all cases, time-consuming, possible loss of sample by adsorption onto the glassware | [ |
| SLE | Acetonitrile/water, methanol/water | Smaller volumes of solvent | SLE alone can be not satisfactory to extract some mycotoxins without interference and additional purification steps are usually needed | [ |
| PLE | Acetonitrile/water, | Extraction process can be automated, higher extraction efficiency in shorter time, lower amount of extraction solvent | High instrument price | [ |
| SFE | supercritical CO2 fluid, acetonitrile | Fast, small solvent volumes, extraction of temperature sensible analytes | Low recoveries, high concentrations of co-extracts, high costs | [ |
Chromatography techniques used in mycotoxin detection.
| Technique | Mycotoxin | Food Commodity | LOD | LOQ | References |
|---|---|---|---|---|---|
| TLC | PAT | Apple juice | 14 µg/L | - | [ |
| TLC | AFB1 | Herbs | 0.01 µg /mL | - | [ |
| TLC | AFs | Brazil nuts | - | 2000 µg/kg | [ |
| HPLC | DON | Wheat bran | 12.58 µg/kg | - | [ |
| HPLC | OTA | Wheat bran | 0.40 µg/kg | - | [ |
| HPLC | OTA | Wine | 0.09 μg/L | - | [ |
| HPLC | ZEA | Wheat bran | 6.74 µg/kg | - | [ |
| HPLC | AFB1 | Peanut | 0.10 µg/kg | - | [ |
| HPLC | ZEA | Wheat flour | 0.10 µg/kg | - | [ |
| LC-MS/MS | AFs | Walnut kernel | 0.004–0.013 µg/kg | - | [ |
| LC-MS/MS | AFB1 | Animal feed | 0.72 µg/kg | - | [ |
| LC-MS/MS | FB1 | Maize | 1 µg/kg | - | [ |
| LC-MS/MS | T-2 | Beer | 0.001 µg/mL | - | [ |
| LC-MS/MS | DON | Red wine | 0.001 µg/mL | - | [ |
| LC-MS/MS | AFB1 | Cow milk | 0.00002 µg/mL | - | [ |
| LC-MS/MS | ZEA | Cow milk | 0.00051 µg/mL | - | [ |
| GC-MS/MS | T-2 | Wheat-based cereals | - | 5 µg/kg | [ |
| GC-MS/MS | PAT | Rice-based cereals | - | 10 µg/kg | [ |
| GC-MS/MS | ZEA | Maize-based cereals | - | 10 µg/kg | [ |
| GC-MS/MS | DON | Wheat semolina | - | 1.25 µg/kg | [ |
| GC-MS/MS | DAS | Wheat semolina | - | 5 µg/kg | [ |
ELISA method used in the detection and of mycotoxins in various types of food.
| Type of ELISA | Mycotoxin | Food Commodities | LOD | References |
|---|---|---|---|---|
| Direct ELISA | AFB1 | Wheat | 0.05 µg/kg | [ |
| AFB2 | 0.04 µg/kg | |||
| AFG1 | 0.06 µg/kg | |||
| AFG2 | 0.07 µg/kg | |||
| Competitive ELISA | OTA | White tea | 3.7 µg/kg | [ |
| Red tea | 3.7 µg/kg | |||
| Spearmint | 1.1 µg/kg | |||
| ZEA | White tea | 8.3 µg/kg | ||
| Red tea | 4.5 µg/kg | |||
| Spearmint | 2.1 µg/kg | |||
| Competitive ELISA | FUMs | Maize | 30 µg/kg | [ |
| DON | 70 µg/kg | |||
| Green ELISA based on the SSB-assisted aptamer | AFB1 | Corn | 0.112 µg/L | [ |
| OTA | 0.319 µg/L | |||
| ZEA | 0.377 µg/L | |||
| Competitive ELISA | OTA | Corn | 1.9 ppb | [ |
| Barley | 2.8 ppb | |||
| Wheat | 3.5 ppb | |||
| Green coffee | 3.3 ppb | |||
| Soybeans | 2.5 ppb |
Different labels used in mycotoxins detection and their sensitivity.
| Label | Mycotoxin | Food Commodity | Sensitivity | References |
|---|---|---|---|---|
| GNPs | CPA | Rice | 1 μg/kg | [ |
| GNPs | DAS | Rice | 50 µg/kg | [ |
| GNPs | FB1 | Cereals | 5 µg/L | [ |
| ACNPs | ZEA | Maize | 1 µg/kg | [ |
| CdSe/ZnS QDs + GNPs | FUMs | Maize | 62.5 µg/kg | [ |
| CdSe/CdS/ZnS QDs | FB1+ FB2 | Maize | 2.8 µg/L | [ |
Examples of biosensors used in different mycotoxin detection.
| Recognition Element | Transducer/Technique | Mycotoxin | Food Commodity | Detection Limit | References |
|---|---|---|---|---|---|
| Antibody | Piezoelectric/QCM | AFB1 | Peanut | 0.83 ng/kg | [ |
| Antibody | Piezoelectric/QCM | OTA | Red wine | 0.16 ng/mL | [ |
| Antibody | Impedimetric/EIS | AFB1 | Corn | 0.05 ng/mL | [ |
| Antibody | Optical/SPR | OTA | Coffee | 0.05 ng/mL | [ |
| Aptamer | Impedimetric/EIS | PAT | Apple juice | 2.8 ng/L | [ |
| Aptamer | Optical/FRET | T-2 | Wheat, maize | 0.00093 ng/mL | [ |
| Antibody | Amperometric/CV/DPV | ZEA | Maize | 0.00017 ng/mL | [ |
| Aptamer | Impedimetric/EIS | FB1 | Maize | 2 pM | [ |
| Black phosphorene | Potentiometric/DPV | OTA | Grape juice, red wine | 180 ng/mL | [ |
Figure 1Schematic diagram of fluorescence polarization immunoassay.
Figure 2Scheme of the principle of aggregation-induced emission.
Figure 3Scheme of molecularly imprinted polymer preparation.