Sample preparation and mass spectrometry for determining mycotoxins, hazardous fungi, and their metabolites in the environment, food, and healthcare

Fe3O4@Au magnetic SERS nanotags-based vertical flow immunoassay for simultaneous detection of fumonisin B1, aflatoxin B1 and deoxnivalenol

Agricultural products are usually contaminated by various mycotoxins, the rapid and sensitive detection of mycotoxins at the early stage is significant for food safety and human health. Here, we develop a rapid and ultrasensitive surface-enhanced Raman scattering-based vertical flow assay (VFA) for simultaneous detection of multiple mycotoxins by using Fe3O4@Au magnetic SERS nanotags. In this competitive immunoassay, three test zones are designed on the sensing membrane, and modified with multiple capture antigens. Moreover, three kinds of specific monoclonal antibodies conjugated Fe3O4NBA@Au, Fe3O44-MBA@Au, and Fe3O4DNTB@Au SERS nanotags were synthesized as probes to identify fumonisin B1 (FB1), aflatoxin B1 (AFB1), and deoxnivalenol (DON), respectively. The magnetic nanoparticles have three following merits: specific recognition, SERS signal enhancement, and magnetic enrichment of the target without any sample preprocessing steps. The limits of detection for FB1, AFB1, and DON are 0.053, 0.028 and 0.079 pg mL-1, respectively, which are 1000 times more sensitive than those conventional standard colloidal gold methods. Furthermore, the proposed biosensor is easy to operate, rapid, accurate, and can achieve high throughput and is expected to be a powerful analytic platform for early detection of multiple mycotoxins in food.

Genetically engineered integrated aflatoxin B1 and deoxynivalenol bispecific nanobody as surrogate antigens for constructed time-resolved immunoassay dual detection methods

There is a phenomenon of combined contamination of fungal toxins, of which aflatoxin B1 (AFB1) is the most toxic, and deoxynivalenol (DON) contamination is common. The use of antigens for double or multiple testing of mycotoxins is easy to cause environmental pollution, and surrogate antigens have become necessary. The small molecule and susceptibility to genetic modification of nanobodies can be used to develop alternative antigens for mycotoxins. In this study, using the nanobody gene sequences of the heavy chain recognition regions of anti-aflatoxin and deoxynivalenol monoclonal antibodies, recombinant plasmids were successfully constructed by one-step cloning, and low-temperature-induced bispecific nanobodies against AFB1-DON were obtained, which can be used as alternative antigens to reduce the pollution of the environment from mycotoxin detection. Enzyme-linked immunosorbent assay validated the bispecific nanobody, and the semi-inhibitory concentration (IC50) of the bispecific nanobody were 0.47 μg/L and 149 μg/L for AFB1 and DON, respectively. Finally, a time-resolved fluorescent dual-detection test strip was constructed by this bispecific nanobody as a surrogate antigen for AFB1 and DON, which was capable of detecting AFB1 and DON at the same time, and the limits of detection (LOD) for the two toxins were 0.0254 μg/L and 21.4 μg/L, respectively. This method has satisfactory sensitivity and does not require antigen, which reduces the toxicity of using antigen.

Effective extraction and detection of aflatoxins in cereals using nitrogen-rich benzodiimidazole linkage magnetic covalent organic framework based solid phase extraction and HPLC-MS/MS analysis

Cereals are frequently contaminated by aflatoxins (AFs). The objective of this study was to develop an efficient extraction materials for rapidly extracting and detecting AFs. A novel amino-functionalized benzodiimidazole linkage magnetic covalent organic framework (Fe3O4@BB-COF) was simply fabricated by one-step cyclization and aromatization. The Fe3O4@BB-COF, having multiple N-containing active sites, exhibited excellent extraction capability towards AFs due to synergistic interactions, including the π-π interactions, hydrogen bonding interactions, polar interactions, electrostatic interactions and Lewis acid-base interactions. The Fe3O4@BB-COF based MSPE method for detecting aflatoxins has advantages of simple operation, short extraction time (6 min), and low material consumption (2 mg). This method exhibited satisfactory linearity (0.05-20 μg/kg), and sensitivity (0.01-0.45 μg/L for the detection limits) and accuracy (76.8-97.1 % for recovery) and was successfully applied for extracting and detecting AFs in cereals.

Recent progress of the research of metal-organic frameworks-molecularly imprinted polymers (MOFs-MIPs) in food safety detection field

Food safety is an important cornerstone of protecting human health and life. Therefore, it is of great significance to detect possible pollutants in food sensitively and efficiently. Molecularly imprinted polymers (MIPs) and metal-organic frameworks (MOFs) have been widely used in the adsorption and detection of food pollutants. However, traditional MIPs have problems such as uneven loading of the imprinted cavity and slow mass transfer efficiency. While the adsorption of MOFs has low specificity and cannot accurately identify target molecules. Therefore, some researchers have taken advantage of the high specific recognition abilities of MIPs and the large specific surface areas, high porosity and easy functionalization of MOFs to combine MOFs with MIPs, and have achieved a series of important results in the field of food safety detection. This paper reviews the research progress of the application of MOFs-MIPs in the field of food safety detection from 2019 to 2024. It furnishes researchers interested in this domain with a rapid and comprehensive grasp of the latest research status, it also offers them a chance to anticipate future development trends, thereby supporting the continuous advances of MOFs-MIPs in food safety detection.

Detection of Ochratoxin A in Maize and Its Potential Impact on Avian Pathology in Romanian Farms

Ochratoxin A (OTA) is a nephrotoxic mycotoxin that commonly contaminates maize, posing significant health risks to both poultry and humans. In this study, a rapid and sensitive method utilizing ultra-performance liquid chromatography coupled with fluorescence detection (UPLC-FLD) was developed for the quantification of OTA levels in maize. The method utilizes immunoaffinity column purification for improved specificity. Accuracy and precision were validated in line with European Union Reference Laboratory (EURL-MP) guidelines, meeting regulatory standards for linearity, trueness, detection and quantification limits, precision, and uncertainty, as per European Commission Regulation (EC) No. 401/2006 and its amendments. The method demonstrated an average recovery rate of 116.78% for maize, with RSDwR values (within-laboratory reproducibility) of 12.72%. Furthermore, OTA occurrence and its possible effects were investigated in several farms in South Romania, where necropsy and histopathological analyses of poultry revealed severe kidney damage, including renal tubular degeneration.

Ambient ionisation mass spectrometry for drug and toxin analysis: A review of the recent literature

Ambient ionisation mass spectrometry (AIMS) is a form of mass spectrometry whereby analyte ionisation occurs outside of a vacuum source under ambient conditions. This enables the direct analysis of samples in their native state, with little or no sample preparation and without chromatographic separation. The removal of these steps facilitates a much faster analytical process, enabling the direct analysis of samples within minutes if not seconds. Consequently, AIMS has gained rapid popularity across a diverse range of applications, in particular the analysis of drugs and toxins. Numerous fields rely upon mass spectrometry for the detection and identification of drugs, including clinical diagnostics, forensic chemistry, and food safety. However, all of these fields are hindered by the time-consuming and laboratory-confined nature of traditional techniques. As such, the potential for AIMS to resolve these challenges has resulted in a growing interest in ambient ionisation for drug and toxin analysis. Since the early 2000s, forensic science, diagnostic testing, anti-doping, pharmaceuticals, environmental analysis and food safety have all seen a marked increase in AIMS applications, foreshadowing a new future for drug testing. In this review, some of the most promising AIMS techniques for drug analysis will be discussed, alongside different applications of AIMS published over a 5-year period, to provide a summary of the recent research activity for ambient ionisation for drug and toxin analysis.

Simultaneous detection of multiple mycotoxins in agricultural products: Recent advances in optical and electrochemical sensing methods

Mycotoxin contamination poses serious threats to human and animal health. Food and environmental systems are often simultaneously contaminated with multiple mycotoxins, a problem that is further exacerbated by the synergistic toxicological effects of these co-occurring mycotoxins. Consequently, the development of rapid detection methods capable of simultaneously identifying multiple mycotoxins in agricultural products is essential to prevent their entry into the food chain. Compared to standard detection methods, optical and electrochemical (EC) sensing methods have distinct advantages for the rapid detection of mycotoxins. This review comprehensively summarizes the latest advancements in the field of simultaneous detection of multiple mycotoxins using optical and EC sensing methods over the last 6 years (2018-2024). First, the review introduces the classification and relevant principles of optical and EC sensing methods. Thereafter, it emphasizes innovative simultaneous detection strategies within these approaches. Finally, it discusses current challenges and offers a reference for further research. Currently, the main challenge lies in the mutual interference among targets, making the development of an interference-free detection platform essential. Furthermore, the ongoing development of integrated technology is expected to aid regulatory authorities in improving the quality of agricultural products for field applications.

Enhanced selectivity for convenient extraction of acidic mycotoxins using a miniaturized centrifugal integrated cold-induced phase separation: Determination of fumonisins and ochratoxins in cereals as a proof-of-concept study

Starches-rich and protein-rich cereal samples commonly need tedious sample preparation steps before instrumental analysis. This study developed a miniaturized centrifugal integrated cold-induced phase separation (CIPS) method for convenient sample preparation. A small-sized centrifuge tube (2 mL) and a low-temperature centrifuge, both of which are easily accessible, make up the basic components of the system. Unlike conventional sample preparation methods that need a step-by-step extraction, enrichment, purification, and centrifugation, this centrifugal integrated CIPS method can be performed by a one-step combination protocol under a low-temperature centrifuge. As a proof-of-concept study, satisfactory recoveries and enrichment factors were demonstrated for the extraction of fumonisins and ochratoxins from cereals. A sensitive and selective quantification method was yielded by combining LC-HRMS using tSIM acquisition mode, with good linearity (R2 > 0.998), accuracy (82.9-106.5%), and precision (<13.4%). This strategy is convenient, low-cost, repeatable, and easy to semi-automate, further expanding the extraction potential for other acidic mycotoxins.

Detection of foodborne pathogens in contaminated food using nanomaterial-based electrochemical biosensors

Foodborne pathogens are a grave concern for the for food, medical, environmental, and economic sectors. Their ease of transmission and resistance to treatments, such as antimicrobial agents, make them an important challenge. Food tainted with these pathogens is swiftly rejected, and if ingested, can result in severe illnesses and even fatalities. This review provides and overview of the current status of various pathogens and their metabolites transmitted through food. Despite a plethora of studies on treatments to eradicate and inhibit these pathogens, their indiscriminate use can compromise the sensory properties of food and lead to contamination. Therefore, the study of detection methods such as electrochemical biosensors has been proposed, which are devices with advantages such as simplicity, fast response, and sensitivity. However, these biosensors may also present some limitations. In this regard, it has been reported that nanomaterials with high conductivity, surface-to-volume ratio, and robustness have been observed to improve the detection of foodborne pathogens or their metabolites. Therefore, in this work, we analyze the detection of pathogens transmitted through food and their metabolites using electrochemical biosensors based on nanomaterials.

The characteristics, occurrence, and toxicological effects of alternariol: a mycotoxin

Alternaria species are mycotoxin-producing fungi known to infect fresh produce and to cause their spoilage. Humans get exposed to fungal secondary metabolites known as mycotoxin via the ingestion of contaminated food. Alternariol (AOH) (C14H10O5) is an isocoumarins produced by different species of Alternaria including Alternaria alternata. AOH is often found in grain, fruits and fruits-based food products with high levels in legumes, nuts, and tomatoes. AOH was first discovered in 1953, and it is nowadays linked to esophagus cancer and endocrine disruption due to its similarity to estrogen. Although considered as an emerging mycotoxin with no regulated levels in food, AOH occurs in highly consumed dietary products and has been detected in various masked forms, which adds to its occurrence. Therefore, this comprehensive review was developed to give an overview on recent literature in the field of AOH. The current study summarizes published data on occurrence levels of AOH in different food products in the last ten years and evaluates those levels in comparison to recommended levels by the regulating entities. Such surveillance facilitates the work of health risk assessors and highlights commodities that are most in need of AOH levels regulation. In addition, the effects of AOH on cells and animal models were summarized in two tables; data include the last two-year literature studies. The review addresses also the main characteristics of AOH and the possible human exposure routes, the populations at risk, and the effect of anthropogenic activities on the widespread of the mycotoxin. The commonly used detection and control methods described in the latest literature are also discussed to guide future researchers to focus on mitigating mycotoxins contamination in the food industry. This review aims mainly to serve as a guideline on AOH for mycotoxin regulation developers and health risk assessors.

Development and validation of an improved QuEChERS method for the extraction of semi-volatile organic compounds (SVOCs) from complex soils

In order to achieve rapid, sensitive, and high-throughput determination of typical semi-volatile organic compounds (SVOCs) in soil samples, a method for the rapid determination of 63 SVOCs in soil was developed by optimizing and improving the QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) extraction technique in conjunction with gas chromatography-mass spectrometry (GC-MS) analysis. A small amount of soil sample (5.0 g) was vortexed with 10 mL of a mixture of acetone and n-hexane (V/V = 1 : 1) for 2 min, followed by rapid vortex purification and centrifugation using a mixture of copper powder and octadecylsilane (C18) dispersant. The resulting supernatant was then purified through a 0.22 μm filter membrane. The results showed that the 63 SVOCs exhibited good linear relationships within the concentration range of 100-5000 μg L-1, with correlation coefficients (R2) above 0.99. The method detection limit (MDL = 3.3 Sy/m) was lower than 0.050 mg kg-1. At a spike concentration of 1 mg kg-1, the recovery rates of the 63 SVOCs were almost above 70% (n = 7). Compared with the rapid solvent extraction (ASE) method specified in US EPA 3545 standard, this method reduced the organic solvent usage by 14 times and significantly shortened the operation time. Furthermore, this method did not involve any transfer or concentration steps of the extractant during the experimental process, reducing the exposure time of toxic compounds and providing support for the principles of green analytical chemistry. Moreover, in the detection of most compounds in the same batch of contaminated soil, the extraction results obtained by QuEChERS were superior to those obtained by the ASE method, providing evidence for the practical application of this method. This method is rapid, simple, accurate, requires a small sample volume, and causes minimal environmental pollution. It provides a high-throughput detection method for the rapid screening of SVOCs in soil.

Research advances of SERS analysis method based on silent region molecules for food safety detection

Food safety is a critical issue that is closely related to people's health and safety. As a simple, rapid, and sensitive detection technique, surface-enhanced Raman scattering (SERS) technology has significant potential for food safety detection. Recently, researchers have shown a growing interest in utilizing silent region molecules for SERS analysis. These molecules exhibit significant Raman scattering peaks in the cellular Raman silent region between 1800 and 2800 cm-1 avoiding overlapping with the SERS spectrum of biological matrices in the range 600-1800 cm-1, which could effectively circumvent matrix effects and improve the SERS accuracy. In this review, the application of silent region molecules-based SERS analytical technique for food safety detection is introduced, detection strategies including label-free detection and labeled detection are discussed, and recent applications of SERS analysis technology based on molecules containing alkyne and nitrile groups, as well as Prussian blue (PB) in the detection of pesticides, mycotoxins, metal ions, and foodborne pathogens are highlighted. This review aims to draw the attention to the silent region molecules-based SERS analytical technique and to provide theoretical support for its further applications in food safety detection.