Assessing aflatoxin B1 distribution and variability in pistachios: Validation of a Monte Carlo modeling method and comparison to the Codex method

Wesolek, Nathalie; Roudot, Alain‐Claude

doi:10.1016/j.foodcont.2015.06.034

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…A different approach to modelling mycotoxin concentrations was taken by Wesolek and Roudot (2016). The authors validated a model they had previously developed based on Monte Carlo simulations that described the distribution of aflatoxin B 1 (AFB 1 ) in pistachios.…”

Section: Samplingmentioning

confidence: 99%

Developments in mycotoxin analysis: an update for 2018-19

Tittlemier¹,

Cramer

Dall’Asta

et al. 2020

WMJ

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This review summarises developments on the analysis of various matrices for mycotoxins that have been published in the period from mid-2018 to mid-2019. Analytical methods to determine aflatoxins, Alternaria toxins, ergot alkaloids, fumonisins, ochratoxins, patulin, trichothecenes, and zearalenone are covered in individual sections. Advances in sampling strategies are also discussed in a dedicated section. In addition, developments in multi-mycotoxin methods – including comprehensive mass spectrometric-based methods as well as simple immunoassays – are also reviewed. This critical review aims to briefly present the most important recent developments and trends in mycotoxin determination as well as to address limitations of the presented methodologies.

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Section: Samplingmentioning

confidence: 99%

Developments in mycotoxin analysis: an update for 2018-19

Tittlemier¹,

Cramer

Dall’Asta

et al. 2020

WMJ

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show abstract

“…The increase in attention and interest in addressing the challenges with sampling various commodities for mycotoxin analysis continued over the past year. Several articles have been published since the previous review that describe sampling methods or guidance to mitigate the effects of heterogeneous distribution of mycotoxins in various matrices, ranging from grain (Whitaker et al, 2015a,b), flour (Armorini et al, 2015), pistachios (Wesolek and Roudot, 2016), to bales of hay and silage (Häggblom and Nordkvist, 2015;McElhinney et al, 2016) and pit silage (McElhinney et al, 2016).…”

Section: Samplingmentioning

confidence: 99%

Developments in mycotoxin analysis: an update for 2017-2018

Tittlemier¹,

Cramer

Dall’Asta

et al. 2019

WMJ

View full text Add to dashboard Cite

This review summarises developments that have been published in the period from mid-2017 to mid-2018 on the analysis of various matrices for mycotoxins. Analytical methods to determine aflatoxins, Alternaria toxins, ergot alkaloids, fumonisins, ochratoxins, patulin, trichothecenes, and zearalenone are covered in individual sections. Advances in sampling strategies are discussed in a dedicated section, as are methods used to analyse botanicals and spices, and newly developed comprehensive liquid chromatographic-mass spectrometric based multi-mycotoxin methods. This critical review aims to briefly discuss the most important recent developments and trends in mycotoxin determination as well as to address limitations of the presented methodologies.

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“…A systematic approach fully accounting for the statistical uncertainty of model parameters, and allowing for increased reliability in shelf life estimations could be based on Monte Carlo simulation techniques. Based on the employment of such tools, the stochastic variability and uncertainty associated with various quality attributes of different food matrices [16,18,[26][27][28][29] has been successfully described in current scientific publications.…”

Section: Introductionmentioning

confidence: 99%

“…Such approach would be particularly appropriate in order to account for the real uncertainty of model parameters, and thus proceed to realistic and reliable shelf life estimations, using Monte Carlo simulation. Although Monte Carlo techniques have been applied in recent literature for the probabilistic assessment of stochastic variability and uncertainty associated with various quality attributes of different food systems [16,18,[26][27][28][29], the statistical interrelation of the values applied in the iterative simulation process has not been considered.…”

Section: Introductionmentioning

confidence: 99%

Holistic Approach to the Uncertainty in Shelf Life Prediction of Frozen Foods at Dynamic Cold Chain Conditions

Giannakourou

Taoukis

2020

Foods

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Systematic kinetic modeling is required to predict frozen systems behavior in cold dynamic conditions. A one-step procedure, where all data are used simultaneously in a non-linear algorithm, is implemented to estimate the kinetic parameters of both primary and secondary models. Compared to the traditional two-step methodology, more precise estimates are obtained, and the calculated parameter uncertainty can be introduced in realistic shelf life predictions, as a tool for cold chain optimization. Additionally, significant variability of the real distribution/storage conditions is recorded, and must be also incorporated in a kinetic prediction scheme. The applicability of the approach is theoretically demonstrated in an analysis of data on frozen green peas Vitamin C content, for the calculation of joint confidence intervals of kinetic parameters. A stochastic algorithm is implemented, through a double Monte Carlo scheme incorporating the temperature variability during distribution, drawn from cold chain databases. Assuming a distribution scenario of 130 days in the cold chain, 93 ± 110 days remaining shelf life was predicted compared to 180 days assumed based on the use by date. Overall, through the theoretical case study investigated, the uncertainty of models’ parameters and cold chain dynamics were incorporated into shelf life assessment, leading to more realistic predictions.

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Assessing aflatoxin B1 distribution and variability in pistachios: Validation of a Monte Carlo modeling method and comparison to the Codex method

Cited by 13 publications

References 14 publications

Developments in mycotoxin analysis: an update for 2018-19

Developments in mycotoxin analysis: an update for 2018-19

Developments in mycotoxin analysis: an update for 2017-2018

Holistic Approach to the Uncertainty in Shelf Life Prediction of Frozen Foods at Dynamic Cold Chain Conditions

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