Prediction of the processing factor for pesticides in apple juice by principal component analysis and multiple linear regression

Development of a processing factor prediction model for pesticides in processed tomato foods using elastic net regularization

A novel regularized elastic net regression model was developed to predict processing factor (PF) for pesticide residues, which represents a change in the residue levels during food processing. The PF values for tomato juice, wet pomace and dry pomace in the evaluations and reports published by the Joint FAO/WHO Meeting on Pesticide Residues significantly correlated with the physicochemical properties of pesticides, and subsequently the correlation was observed in the present tomato processing study. The elastic net regression model predicted the PF values using the physicochemical properties as predictor variables for both training and test data within a 2-fold range for 80-100% of the pesticides tested in the tomato processing study while overcoming multicollinearity. These results suggest that the PF values are predictable at a certain degree of accuracy from the unique sets of physicochemical properties of pesticides using the developed model based on a processing study with representative pesticides.

Residue levels, processing factors and risk assessment of pesticides in ginger from market to table

Ginger is consumed as a spice and medicine globally. However, pesticide residues in ginger and their residue changes during processing remain poorly understood. Our results demonstrate that clothianidin, carbendazim and imidacloprid were the top detected pesticides in 152 ginger samples with detection rates of 17.11-27.63%, and these pesticides had higher average residues of 44.07-97.63 μg/kg. Although most samples contained low levels of pesticides, 66.45% of the samples were detected with pesticides, and 38.82% were contaminated with 2-5 pesticides. Peeling, washing, boiling and pickling removed different amounts of pesticides from ginger (processing factor range: 0.06-1.56, most <1). By contrast, pesticide residues were concentrated by stir-frying and drying (0.50-6.45, most >1). Pesticide residues were influenced by pesticide physico-chemical parameters involving molecular weight, melting point, degradation point and octanol-water partition coefficient by different ginger processing methods. Chronic and acute dietary risk assessments suggest that dietary exposure to pesticides from ginger consumption was within acceptable levels for the general population. This study sheds light on pesticide residues in ginger from market to processing and is of theoretical and practical value for ensuring ginger quality and safety.

High and low temperature processing: Effective tool reducing pesticides in/on apple used in a risk assessment of dietary intake protocol

Apples play an important role in everyone's diet and may contain pesticide residues that can pose a significant health problem for consumers. Various technological processes are promising methods for minimizing pesticide concentrations in fruit. Therefore, the subject of this comprehensive study was to investigate the effects of high-temperature (baking) and low-temperature (freeze-drying) processes on the change in the levels of nine fungicides in apples with skin and peeled. The investigated compounds belong to the chemical groups of benzimidazole (thiophanate methyl and carbendazim), phtalimide (captan and their metabolite tetrahydrophtalimid (THPI)), strobilurin (pyraclostrobin, trifloxystrobin) and triazole (difenoconazole, tebuconazole, tetraconazole). Processing factors (PF) were calculated for each pesticide-process-product combination. The results show that baking and freeze-drying generally reduced pesticide concentrations, with PFs ranging from 0.31 to 0.81 and 0.26 to 0.68, respectively. Apart from freeze-drying for carbendazim and baking for captan, PFs were above 1. Only for thiophanate-methyl, a complete reduction was observed, which resulted from complete degradation to carbendazim. The study also aimed to assess human risk according to the new strategy for different sub-populations with conversion using the 36 PFs obtained. The highest acute exposure (expressed as %ARfD) was obtained for tebuconazole in raw apples (initial concentration of 1.42 mg/kg; 400% ARfD) for Dutch toddlers. After food processing, this decreased to 284% (0.74 mg/kg, baking) and to 137% (0.37 mg/kg, freeze-drying), but was still above the safety limit. Similarly, for adults and the general French population for tebuconazole, the %ARfD was high as it reached the values of 104% (initial concentration of 0.89 mg/kg) in unprocessed apples, 73.9% after baking (0.73 mg/kg) and 35.6% after freeze-drying (0.35 mg/kg). The results indicate that food processing techniques can potentially be used to minimize the hazardous effects of pesticide residues on human health.

The dissipation, processing factors, metabolites, and risk assessment of pesticides in honeysuckle from field to table

Globally, honeysuckle is consumed as a food and administered as a medicinal agent. However, pesticide residues in honeysuckle limit its application and development of the honeysuckle industry, affecting food safety and endangering human health. Here, the degradation kinetics of 11 typical pesticides, including insecticides, fungicides, and an acaricide, in honeysuckle were investigated. The half-lives of pesticides in Henan and Liaoning fields were 1.90-4.33 and 2.05-4.62 d, respectively. The processing factors (PFs) of these pesticides after oven, sun, and shade drying ranged from 3.52 to 11.2. After decocting, the PFs of the pesticides were <1. Twenty degradation products were identified using ultra high performance liquid chromatography-quadrupole time-of-flight mass spectrometry, and pathways were proposed based on drying and decoction. The ecotoxicities of the degradation products were evaluated using the Toxicity Estimation Software Tool. Finally, the acute hazard indices of these pesticides, as determined via dietary exposure assessment combined with the PFs, were 0.227 and 0.911 for adults and children, respectively. Thus, special populations, such as children, require particularly careful risk control in terms of dietary exposure.

Transfer of Pesticide Residues from Grapes (Vitis vinifera) into Wine—Correlation with Selected Physicochemical Properties of the Active Substances

The concentration of pesticide residues in agricultural products at harvest can change during subsequent processing steps. This change, commonly expressed as Processing Factor (PF), is influenced by the raw agricultural commodity, and the processing conditions, as well as the properties of the substances. As it is not possible to conduct processing studies for all possible combinations of pesticide × process × product, new approaches for determining processing factors are needed. Wine was chosen as the object of the present study because it is a widely consumed product. Furthermore, it is already known that the concentration of pesticide residues can change considerably during the processing of grapes into wine, substantiating the need for PFs for a large number of pesticides. The aim of the present study was to investigate the correlation between selected physicochemical properties and PFs. In addition, the influence of different winemaking processes was explored. For this purpose, 70 processing studies conducted by pesticide manufacturers in the framework of regulatory procedures were evaluated in detail and PFs were derived for 20 pesticides. For wine, a good correlation between the PF and the octanol-water partition coefficient of the substances was found, depending on the specific production methods used. Exemplarily, the coefficient of determination for white wine was 0.85, and 0.81 for red wine, when thermovinification was applied. These results can serve as the basis for a predictive model to be validated further with future winemaking studies for pesticides.

Model prediction of herbicide residues in soybean oil: Relationship between physicochemical properties and processing factors

The distribution and processing factors (PFs) of herbicides in cold-/hot-pressed soybean samples (n = 3) were studied on the laboratory scale. The hot-pressing process was found to have a significant effect on herbicide degradation in soybean samples. Specifically, for highly water-soluble pesticides with pK_ow > 2 in soybean oil, the PF values were generally > 1. Nonlinear curve fitting revealed that the PFs of herbicides in soybean oil were positively correlated with their octanol-water partition coefficients, but negatively correlated with their water solubility and melting points. A principal component analysis confirmed the dominant parameters among the herbicide PFs during soybean oil production. Using the physicochemical parameters of pesticides, the developed multiple linear regression model gave a fitting accuracy of ≥0.80 for predicting the theoretical PF values of pesticides in soybean oil products (0.39 < RMSE < 0.58). Thus, this model may be applicable for safety risk assessments and establishing maximum residue limits for pesticides in processed products.

Transfer assessment of carbendazim residues from rapeseed to oil production determined by HPLC-MS/MS

It is crucial to develop practical procedures for the control and reduction of pesticide residues in oil productions from farm to dining table. In this study, the dissipation behaviors of typical fungicide from rapeseed to oil production were studied to reveal relationship among spraying stage, application dosage, household oil processing stage, and pesticide residues. In the field trials, rape plants were sprayed with carbendazim at three different dosages during flowering period. Transfer assessment of carbendazim residues from rapeseed to oil production during household oil processing via different press techniques was determined using high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS). The recoveries of carbendazim in rapeseed samples, meals after squeezing samples, and rapeseed oil samples ranged from 82.5% to 93.6% with relative standard deviations (RSDs) ＜5.2%. The validation results illustrated that the methods were reliable and sensitive. The average processing factor (PF) during household oil processing via hot press technique and cold press technique was 0.15 and 0.51, respectively. This study demonstrated that household oil processing could significantly reduce the pesticide residues, especially by hot press technique.

Factors controlling the fate of pyrethroids residues during post-harvest processing of raw agricultural crops: An overview

Control of residual levels of synthetic pyrethroids in fresh fruits and vegetables as well as in foodstuff made of fresh agricultural produces is of utmost importance. Apart from the need to more control on application of pesticides by farmers, simple and effective postharvest practices by consumers and/or manufacturers usually applied to produces before consumption may enhance food safety from potentially harmful pesticide residues. The present review discusses the underline factors that control the effectiveness of crops postharvest treatments and the possible mechanisms of loss of pesticides during food processing. It is shown that the effectiveness of postharvest processes is controlled by various factors and that understanding such factors is essential for more control of residual pesticides. Though postharvest processes may lead to substantial reduction of residual pesticides, metabolites of broken pesticides are of great concern.

Dissipation behaviour, processing factors and risk assessment for metalaxyl in greenhouse-grown cucumber

BACKGROUND

Cucumber is widely cultivated in Iran, and the application of systemic and protective fungicides is the main choice of disease treatment, particularly in greenhouse-grown systems. In this research, cucumber fruits were harvested at 1 h to 25 days after the last application to determine the residue and dissipation behaviour of metalaxyl. The effects of peeling and storage (at 3 °C for 4 days) on metalaxyl residue reduction were also assessed. Samples were extracted by the QuEChERS procedure then analysed using liquid chromatography-tandem mass spectrometry.

RESULTS

The dissipation of metalaxyl residues approximately fitted a first-order kinetic model, obtaining half-life values of 2.2 and 3.8 days and preharvest interval values of 5.2 and 12.5 days at the recommended dose (2 kg ha(-1) ) and double (4 kg ha(-1) ) dose respectively. The processing factor values for peeling and storage were 0.50 and 0.93 respectively, showing that storage had little effect on residue reduction compared with peeling.

CONCLUSION

The higher content of metalaxyl residues in flesh showed its penetration from the skin into the flesh. The results provided more understanding of fungicide distribution as well as the effective role of peeling in reducing residues in cucumber fruits.