Predictive models for assessing the risk of Fusarium pseudograminearum mycotoxin contamination in post-harvest wheat with multi-parameter integrated sensors

Hua Cui; Songshan Wang; Xu Yang; Wei Zhang; Mengze Chen; Yu Wu; Sen Li; Li Li; Di Cai; Baoyuan Guo; Jin Ye; Songxue Wang

doi:10.1016/j.fochx.2022.100472

Predictive models for assessing the risk of Fusarium pseudograminearum mycotoxin contamination in post-harvest wheat with multi-parameter integrated sensors

Food Chem X. 2022 Oct 17:16:100472. doi: 10.1016/j.fochx.2022.100472. eCollection 2022 Dec 30.

Authors

Hua Cui¹, Songshan Wang¹, Xu Yang², Wei Zhang¹, Mengze Chen¹, Yu Wu¹, Sen Li¹, Li Li¹, Di Cai¹, Baoyuan Guo¹, Jin Ye¹, Songxue Wang¹

Affiliations

¹ Academy of National Food and Strategic Reserves Administration, No. 11 Baiwanzhuang Str, Xicheng District, Beijing 100037, China.
² Baoding Qingyuan District National Grain Reserve Co., Ltd., No. 2866-500, Lianchi South Str, Qingyuan District, Baoding City, Hebei 071100, China.

Abstract

Reliable prediction of the risk of mycotoxin contamination in post-harvest wheat will aid in improvement of the quality and safety. To establish the relationship between Fusarium pseudograminearum mycotoxins and CO₂ production, changes in their respective concentrations were monitored for the artificial contamination of wheat under different values of water activities (0.84 a_w, 0.92 a_w, and 0.97 a_w) and temperatures (20 ℃, 25 ℃, and 30 ℃). Water activity played a significant role in all these processes. CO₂ concentration together with moisture content and temperature were used as the main parameters to establish DON and ZEN contamination prediction models. The prediction accuracy for DON was 98.15 % (R² = 0.990) and 90.74 % for ZEN (R² = 0.982). These models were combined with T/RH/MC/CO₂ multi-parameter integrated sensors to form an early warning system, which offers a great prospect to minimise the risk of DON/ZEN contamination in post-harvest wheat.

Keywords: CO2; DMLs, dry matter losses; DON, deoxynivalenol; Deoxynivalenol; FCR, Fusarium crown rot; FHB, Fusarium head blight; Fusarium pseudograminearum; MC, moisture content; Predictive model; RH, relative humidity; T, temperature; ZEN, zearalenone; Zearalenone; aw, water activity.