Development and validation of a novel lateral flow immunoassay device for detection of aflatoxins in soy-based foods

Santos, Vanessa O.; Pelegrini, Patrícia B.; Mulinari, Fernanda; Lacerda, Ariane Ferreira; Moura, Rodrigo Scaliante de; Cardoso, Ludimila Paula Vaz; Bührer-Sékula, Samira; Miller, Robert N.; Grossi‐de‐Sá, Maria Fátima

doi:10.1039/c7ay00601b

Cited by 22 publications

(7 citation statements)

References 26 publications

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“…For instance, Santos et al. (2017) described a LFIA suitable for the detection of aflatoxin in soybean‐based foods. The method detected aflatoxin at levels as low as 0.5 ug/kg within 10 min.…”

Section: Current Aflatoxin Detection Methodsmentioning

confidence: 99%

Worldwide aflatoxin contamination of agricultural products and foods: From occurrence to control

Jallow

Xie

Tang

et al. 2021

Comp Rev Food Sci Food Safe

183

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Aflatoxins represent a global public health and economic concern as they are responsible for significant adverse health and economic issues affecting consumers and farmers worldwide. Produced by fungal species from the Aspergillus genus, aflatoxins are a toxic, mutagenic, and carcinogenic group of fungal metabolites that routinely contaminate food and agricultural products. Climate and diet are essential factors in the aflatoxin contamination of food and subsequent human exposure process. Countries with warmer climates and staple foods that are aflatoxin‐susceptible shoulder a substantial portion of the global aflatoxins burden. Enactment of regulations, prevention of pre‐ and postharvest contamination, decontamination, and detoxification have been used to prevent human dietary exposure to aflatoxin. Exploiting their chemical and structural properties, means are devised to detect and quantify aflatoxin presence in foods. Herein, recent developments in several important aspects impacting aflatoxin contamination of the food supply, including: fungal producers of the toxin, occurrence in food, worldwide regulations, detection methods, preventive strategies, and removal and degradation methods were reviewed and presented. In conclusion, aflatoxin continues to be a major food safety problem, especially in developing countries where regulatory limits do not exist or are not adequately enforced. Finally, knowledge gaps and current challenges in each discussed aspect were identified, and new solutions were proposed.

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Section: Current Aflatoxin Detection Methodsmentioning

confidence: 99%

Worldwide aflatoxin contamination of agricultural products and foods: From occurrence to control

Jallow

Xie

Tang

et al. 2021

Comp Rev Food Sci Food Safe

183

View full text Add to dashboard Cite

show abstract

“…Cross-reactivity studies for the immune-based rapid tests for aflatoxins are done to determine the potential cross-reactivity against the different types of aflatoxins (i.e., AfB1, AfG1, AfB2, AfG2, and AfM1), as described by Santos et al [24], or against other mycotoxins (i.e., deoxynivalenol, zearalenone, ochratoxin, and, fumonisins), as previously outlined by Zhang et al [22]. To the best of our knowledge, the cross-reactivity of the aflatoxin lateral flow devices have not been investigated to the extent presented in this paper.…”

Section: Cross-reactivity Testingmentioning

confidence: 99%

Evaluating the Performance of Lateral Flow Devices for Total Aflatoxins with Special Emphasis on Their Robustness under Sub-Saharan Conditions

Cvak

Warth

Atehnkeng

et al. 2021

Toxins

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As aflatoxins are a global risk for humans and animals, testing methods for rapid on-site screening are increasingly needed alongside the standard analytical laboratory tools. In the presented study, lateral flow devices (LFDs) for rapid total aflatoxin screening were thoroughly investigated with respect to their matrix effects, cross-reactivity, their performance under harsh conditions in Sub-Saharan Africa (SSA), and their stability, as well as when compared with liquid chromatography-tandem mass spectrometry (LC-MS/MS). To analyze the matrix effects, qualitative test kits offering a certain cutoff level were used to screen different nut samples. In addition, these tests were challenged on their cross-reactivity with 230 fungal toxins and metabolites. Furthermore, the resulting measurements performed under harsh tropical conditions (up to 38.4 °C and 91% relative humidity) in SSA, specifically Burkina Faso and Mozambique, were compared with the results from a well-established and validated LC-MS/MS-based reference method. The comparison of the on-site LFD results with the reference method showed a good agreement: 86.4% agreement, 11.8% non-agreement, and 1.8% invalid test results. To test the robustness of the cutoff tests, short- and long-term stability testing was carried out in Mozambique and Nigeria. For both experiments, no loss of test performance could be determined. Finally, a subset of African corn samples was shipped to Austria and analyzed under laboratory conditions using semiquantitative aflatoxin tests. A good correlation was found between the rapid strip tests and the LC-MS/MS reference method. Overall, the evaluated LFDs showed satisfying results regarding their cross-reactivity, matrix effects, stability, and robustness.

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“…Despite their undeniable advantages, these methods are laborious and time-consuming. Some modern techniques detect the presence of aflatoxins immunochemically by using specific antibodies to specifically determine their analytes from complex samples or by using immunochemical assays, such as enzyme-linked immunosorbent assay [82], lateral flow immunoassay [83], and chemiluminescent immunoassay [84].…”

Section: Mycotoxin Contentmentioning

confidence: 99%

In-Line Technologies for the Analysis of Important Milk Parameters during the Milking Process: A Review

et al. 2021

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Considering automatized and robotic milking systems substantially decreasing the contact between producers and the herd, milk analysis is crucial to maintain the quality and safety of all dairy products. These systems naturally also decrease the possibility of health problems and illness identification. Abnormalities in milk can be caused by several factors. Milk quality can be affected by external conditions, such as temperature and contamination in the feedstock; by management practices, such as hygiene, milking frequency, treatment, and feedstuff quality; and by diseases, genetics, or age. Somatic cell count, electric conductivity, and contents of urea, fat, protein, and lactose were reviewed as likely parameters of milk representing its quality with respect to feedback for consumers and breeders. Methods for evaluating milk constituents and parameters are still being developed to provide in-line information. These methods allow the avoidance of enormous economic losses every year caused by milk discard, health treatments, or cow replacements. In addition, individual and in-line milk analysis provides information in terms of nutritional status or lactation period and fertility. The objective of this study is to identify trends and potential methods focusing on in situ and in-line techniques for the analysis of milk parameters during the automatized and robotic milking process. Four methods are described and compared: near-infrared spectroscopy (NIRS) and mid-infrared spectroscopy (MIRS), optical analysis, milk conductivity analysis, and milk leukocyte differential test. The versatility and accessibility of these methods were also evaluated, showing a considerable range of possible related problems.

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Development and validation of a novel lateral flow immunoassay device for detection of aflatoxins in soy-based foods

Abstract: Aflatoxins (AFs) are natural toxins produced as secondary fungal metabolites.

Cited by 22 publications

References 26 publications

Worldwide aflatoxin contamination of agricultural products and foods: From occurrence to control

Worldwide aflatoxin contamination of agricultural products and foods: From occurrence to control

Evaluating the Performance of Lateral Flow Devices for Total Aflatoxins with Special Emphasis on Their Robustness under Sub-Saharan Conditions

In-Line Technologies for the Analysis of Important Milk Parameters during the Milking Process: A Review

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