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Research progress on the application technology of aflatoxin control in the whole industrial chain of peanut oil
Transactions of the Chinese Society of Agricultural Engineering 2025, 41(11): 26-34
Published: 15 June 2025
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Aflatoxin is one of the high-risk contaminants in the processing of peanut oil. Its contamination has pervaded the entire industrial chain, including the peanut cultivation, procurement, storage, transportation, and processing at present. There is a grave threat to the health of consumers in the sustainable industry. It is of great significance to systematically control aflatoxin in industrial development for food safety. Therefore, a three-dimensional prevention and control framework of the “source-process-removal at the processing end” has been established for the control of the aflatoxin in peanut oil. This article aims to systematically review the application technologies for the control of aflatoxin in the entire industrial chain of peanut oil processing. The key aspects were also covered, including the aflatoxin prevention and control at the source of peanuts, the control of aflatoxin during procurement, storage, and transportation of the peanuts, and the removal of the aflatoxin in the processing of peanut oil. At the source of peanut growth, the Aspergillus flavus and Rhizobia Coupling (ARC) microbial agents were achieved in the green prevention and control of aflatoxin at the source. The prevention and control of the aflatoxin at the source was also carried out in the breeding of the ARC microbial agents and the peanut varieties resistant to aflatoxin. Meanwhile, the efficient nodulation and nitrogen fixation of peanuts were induced to significantly promote the yield. That is, the coupling role was observed to prevent and control the contamination of Aspergillus flavus and its toxins. In peanut cultivation, the self-built bases or the order-based planting model were used to realize the quality control of the peanut raw materials. Professional and standardized planting and fertilization were also adopted using advanced equipment and facilities. The origin examination, sample testing, and inspection were carried out during the procurement, storage, and transportation of the peanuts. According to the temperature variation in the storage and transportation of the peanuts, the storage parameters were optimized to reduce the risk of aflatoxin contamination. Furthermore, the vibratory screening and color sorting were carried out on the peanut oil. A vibratory sieve with physical screening and a color sorter was applied to remove the contaminated peanuts in the pre-treatment stage during processing. The deep removal of the aflatoxin was also realized, according to the combination of multiple technologies, such as ultraviolet degradation, physical adsorption, and alkali refining. Among them, the ultraviolet irradiation and physical adsorption were suitable for the control of the aflatoxin in the pressed peanut oil. While the alkali refining was suitable for the control of aflatoxin in the refined peanut oil. Some challenges still remain in the control of aflatoxin in peanut oil at present, such as the insufficient stability of the source prevention and control, as well as the online lagging detection. As such, it is necessary to promote source biocontrol technologies in the future; Artificial intelligence detection can be expected to intensify the real-time and accurate online monitoring equipment for the aflatoxin content. The data resources of each link can be integrated into the entire industrial chain. A multi-dimensional coordinated prevention and control system can also be constructed for the quality and safety of edible oil products.

Open Access Review Issue
Functional genes associated with the occurrence of mycotoxins produced by Aspergillus in foods
Journal of Integrative Agriculture (JIA) 2026, 25(2): 585-601
Published: 01 November 2025
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Aspergillus species are ubiquitous fungi that produce mycotoxins (secondary metabolites) known as sterigmatocystin and aflatoxins in many different kinds of foods, which leads to serious contamination in agricultural products, thereby endangering human health. Extensive studies on Aspergillus fungi have been conducted on growth and development, aflatoxin biosynthesis, and their interactions with environment. Here, we summarized a series of functional genes of the main Aspergillus fungi relative to toxins occurrence in foods, which revealed the signal transduction mechanisms of their involvement in growth and development, toxin production, and response to light, anticipating providing theoretical guidance on developing control and prevention technologies for mycotoxin contamination in agricultural products to ensure food safety.

Issue
Research on the Application of a Balanced Sampling-Random Forest Early Warning Model for Aflatoxin Risk in Peanut
Scientia Agricultura Sinica 2022, 55(17): 3426-3436
Published: 01 September 2022
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【Objective】

Peanuts are highly vulnerable to aflatoxin contamination. Based on the Balanced Sampling-Random Forest early warning model for aflatoxin contamination in peanut established previously, this study aimed to analyze the main technical parameters and practical application effects of the model through systematic application research, which could provide a critical technical support for risk prediction of aflatoxin in post-harvest peanuts in China.

【Method】

The model was used to predict the aflatoxin contamination risk of 153 main peanut producing cities in China from 2019 to 2020 by selecting the data of one month before the peanut harvest, including one geographical variable (latitude) and three climatic variables (precipitation, average air pressure, and daily average temperature of 8:00-20:00) as the key input parameters of the model. The immunoaffinity chromatography-high performance liquid chromatography-fluorescence detection method was used to determine the aflatoxin content of 2 164 peanuts to obtain the aflatoxin contamination data areas. The accuracy, precision, sensitivity, and false-positive rate of the model were analyzed to clarify the application effect according to the predicted risk and the actual risk of the model.

【Result】

A total of 125 areas were predicted as low-risk areas of aflatoxin, of which 116 areas were consistent with the actual measurement results, but 9 high-risk producing areas were misjudged as low-risk areas (False negative). Meanwhile, 28 areas were predicted as high-risk areas of aflatoxin, of which 15 areas were consistent with the actual measurement results, but 13 low-risk producing areas were misjudged as high-risk producing areas (False positive). Therefore, the accuracy of the model was 85.61%, the false-negative rate was 8.49%, and the false-positive rate was 5.88%.

【Conclusion】

The application of the Balanced Sampling-Random Forest early warning model could predict the risk of aflatoxin contamination in peanuts, which provided the technical support for scientifically guiding the harvesting, storage and utilization in post-harvest peanuts in China, thereby reducing the loss of aflatoxin contamination and guaranteeing the quality and safety of agricultural products.

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