Abstract:Mycotoxins are the secondary metabolites of fungi in food and can be toxic to people. Therefore, developing simple, sensitive, and specific detection methods to detect mycotoxins in food is essential for ensuring food safety. Fluorescent aptasensors for the detection of mycotoxins in food have developed rapidly. They are simple and fast with high affinity and specificity. However, fluorescent aptasensors have not yet been applied in officially approved standards so far. This review elucidates fluorescent aptas… Show more
“…The use of metabolomics techniques allows for the rapid quantification or localisation of certain types of substances in foods, which is a very convenient method in food composition studies. Based on this same principle, toxins, hormones, pesticides or drug residues in food can be identified for the purpose of food safety control ( Yan et al, 2022 ). Flavour components of food products are also a popular research topic.…”
Section: Applications Of Metabolomics In Food Analysismentioning
“…The use of metabolomics techniques allows for the rapid quantification or localisation of certain types of substances in foods, which is a very convenient method in food composition studies. Based on this same principle, toxins, hormones, pesticides or drug residues in food can be identified for the purpose of food safety control ( Yan et al, 2022 ). Flavour components of food products are also a popular research topic.…”
Section: Applications Of Metabolomics In Food Analysismentioning
“…[ 13 , 14 ]. In recent years, many research groups have screened and prepared aptamers for a variety of potential hazards in food matrices, such as biotoxins [ 15 , 16 ], pesticides [ 17 ], veterinary drugs [ 18 ], pathogenic microorganisms [ 19 ], and heavy metals [ 20 ]. As biological recognition components, aptamers have been widely used in the analysis of hazardous substances in food safety, showing outstanding detection performance, such as high sensitivity, simple operation, fast detection speed, and low cost.…”
Aflatoxin M1 (AFM1), one of the most toxic mycotoxins, is a feed and food contaminant of global concern. To isolate the ssDNA aptamer of AFM1, synthesized magnetic graphene oxide nanomaterials, 12 rounds of subtractive systematic evolution of ligands by exponential enrichment (SELEX) selection were carried out. As a result, 24 candidate aptamers were selected, and their sequence similarity exceeded 97%. Their binding affinity and specificity were further examined by fluorescence and biofilm interferometry (BLI) methods. One aptamer (Apt-5) against AFM1 with a high affinity and specificity was isolated and demonstrated to be the optimal aptamer, whose dissociation constant reached the nanomolar level, Kdâ= 8.12 ± 1.51ânM. Additionally, molecular docking studies were used to predict the possible binding sites and mechanisms of the two. Based on Apt-5, an unlabeled aptamer-AuNPs colorimetric method was established to detect AFM1 in milk with a linear range of 0.078â10âng/mL, and the actual detection limit was 0.078âng/mL. These results demonstrated that this detection technique could be useful for the quantitative determination of AFM1 in milk and dairy products.
“…Recently, fluorescence sensing methods have been widely used for food assessment, owing to their high operational simplicity, high sensitivity, and short response time [10,11]; however, these fluorescence methods need to be improved, owing to the requirement of specialized instruments [12]. Eye-readable sensors have attracted increasing attention for their simple and convenient assessment, without the need for electronics and external digital readouts [13,14]. Such sensors have been fabricated using organic fluorophores, such as fluorescein isothiocyanate (FITC) [8] and succinimide substituted 2-(2 -hydroxyphenyl) benzothiazole derivative (BTSA) [15].…”
This study established a flexible and eye-readable sensing system for the easy-to-use, visual detection of milk freshness, using acidity-responsive N-doped carbon quantum dots (N-CQDs). N-CQDs, rich in amino groups and with characteristic acidity sensitivity, exhibited high relative quantum yields of 25.2% and an optimal emission wavelength of 567 nm. The N-CQDs fluorescence quenching upon the dissociated hydrogen ions (H+) in milk and their reacting with the amino groups produced an excellent linear relation (R2 = 0.996) between the fluorescence intensity and the milk acidity, which indicated that the fluorescence of the N-CQDs was highly correlated with milk freshness. Furthermore, a fluorescence sensor was designed by depositing the N-CQDs on filter-papers and starch-gel films, to provide eye-readable signals under UV light. A fluorescence colorimetric card was developed, based on the decrease in fluorescence brightness as freshness deteriorated. With the advantages of high sensitivity and eye readability, the proposed sensor could detect spoiled milk in advance and without any preprocessing steps, offering a promising method of assessing food safety.
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