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Research article · 2025 · Full text

International Journal of Advanced Chemistry Research

LC-MS/MS method development for quantification of mycotoxins in cereal grains

Amr HamdiSahar MansourLayla Khaled NasserFarida Zakaria

Volume 7(9) · Pages 187–191 · DOI: 10.33545/26646781.2025.v7.i9c.635 ↗

Research areasMycotoxins in Agriculture and FoodPesticide Residue Analysis and SafetyAnalytical chemistry methods development

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Abstract

Author-written

Mycotoxins secondary metabolites of toxigenic moulds pose a persistent food safety threat in cereal supply chains across Africa and the Middle East, where climate conditions favour Aspergillus, Fusarium, and Penicillium contamination during crop growth, harvest, and storage. Egypt's strategic position as a major importer and processor of wheat and maize for its population of over 100 million creates a direct exposure pathway: contaminated grain imports arriving at Alexandria and Port Said are processed into flour, bread, and animal feed that enter a food chain with limited mycotoxin monitoring capacity at the domestic processing level. The present research developed and validated an LC-MS/MS multi-mycotoxin method for the simultaneous quantification of eight mycotoxins aflatoxins B1, B2, G1, G2 (AFB1, AFB2, AFG1, AFG2), Ochratoxin A (OTA), Zearalenone (ZEA), deoxynivalenol (DON), and fumonisin B1 (FB1) in wheat, maize, rice, barley, and sorghum. Sample preparation used a dilute-and-shoot approach optimised for matrix effect minimisation across the diverse cereal matrices. Chromatographic separation was achieved on a C18 reverse-phase column with gradient elution (methanol/0.1% formic acid in water); detection was by electrospray ionisation triple quadrupole MS in positive/negative switching MRM mode. Method validation followed Commission Regulation (EU) 2021/808 and CEN/TR 16059 criteria. LOQs ranged from 0.1 µg/kg (AFB1) to 2.5 µg/kg (DON), with all values at or below EU Maximum Limits (MLs). Recoveries across three spiked levels ranged from 72.4 to 112.3% with RSD ≤ 11.4%. A survey of 270 cereal samples from Egyptian markets identified mycotoxins in 41.5% of samples; 8.5% exceeded EU MLs. DON showed the highest frequency in wheat (41.0%) and maize (32.0%); AFB1 exceedance of EU ML (2 µg/kg) was found in 6.7% of maize samples, with maximum 18.4 µg/kg. These results provide the first comprehensive multi-mycotoxin occurrence dataset for Egyptian market cereals using fully validated LC-MS/MS methodology.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Mycotoxins produced by toxigenic moulds are a constant food safety risk in Africa and the Middle East because the climate encourages contamination by Aspergillus, Fusarium, and Penicillium. View evidence ↗

      Why it matters

      Mycotoxins produced by toxigenic moulds are a constant food safety risk in Africa and the Middle East because the climate encourages contamination by Aspergillus, Fusarium, and Penicillium.

      In the paper's own words

      “Mycotoxins secondary metabolites of toxigenic moulds pose a persistent food safety threat in cereal supply chains across Africa and the Middle East, where climate conditions favour Aspergillus, Fusarium, and Penicillium contamination during crop growth, harvest, and storage.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Egypt's high volume of wheat and maize imports for its population of over 100 million creates a risk of exposure due to limited mycotoxin monitoring during domestic processing. View evidence ↗

      Why it matters

      Egypt's high volume of wheat and maize imports for its population of over 100 million creates a risk of exposure due to limited mycotoxin monitoring during domestic processing.

      In the paper's own words

      “Egypt's strategic position as a major importer and processor of wheat and maize for its population of over 100 million creates a direct exposure pathway: contaminated grain imports arriving at Alexandria and Port Said are processed into flour, bread, and animal feed that enter a food chain with limited mycotoxin monitoring capacity at the domestic processing level.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Certain mycotoxins pose severe health risks: Aflatoxin B1 is a Group 1 carcinogen targeting the liver, and fumonisin B1 is linked to oesophageal cancer, which is particularly prevalent in Egypt's Upper Nile governorates. View evidence ↗

      Why it matters

      Certain mycotoxins pose severe health risks: Aflatoxin B1 is a Group 1 carcinogen targeting the liver, and fumonisin B1 is linked to oesophageal cancer, which is particularly prevalent in Egypt's Upper Nile governorates.

      In the paper's own words

      “Aflatoxin B1 is classified by IARC as a Group 1 carcinogen with the liver as the primary target organ; fumonisin B1 promotes oesophageal cancer, the incidence of which in Egypt's Upper Nile governorates significantly exceeds the national average [2].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to develop and validate an LC-MS/MS method to simultaneously quantify eight specific mycotoxins across five types of cereal grains. View evidence ↗

      The question

      The study aimed to develop and validate an LC-MS/MS method to simultaneously quantify eight specific mycotoxins across five types of cereal grains.

      In the paper's own words

      “The present research developed and validated an LC-MS/MS multi-mycotoxin method for the simultaneous quantification of eight mycotoxins aflatoxins B1, B2, G1, G2 (AFB1, AFB2, AFG1, AFG2), Ochratoxin A (OTA), Zearalenone (ZEA), deoxynivalenol (DON), and fumonisin B1 (FB1) in wheat, maize, rice, barley, and sorghum.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The researchers collected 270 cereal samples (60 each of wheat, maize, rice, and barley, and 30 of sorghum) from various markets and facilities across four Egyptian governorates in October 2024. View evidence ↗

      What they did

      The researchers collected 270 cereal samples (60 each of wheat, maize, rice, and barley, and 30 of sorghum) from various markets and facilities across four Egyptian governorates in October 2024.

      In the paper's own words

      “Survey samples (n = 270: 60 wheat, 60 maize, 60 rice, 60 barley, 30 sorghum) were collected from retail markets, grain storage facilities, and flour mills in Cairo, Alexandria, Luxor, and Assiut governorates (October 2024).”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
    • The study used an optimized 'dilute-and-shoot' sample preparation method using an acetonitrile/water/formic acid extraction solvent and stable isotope-labelled internal standards (SIL-IS). View evidence ↗

      What they did

      The study used an optimized 'dilute-and-shoot' sample preparation method using an acetonitrile/water/formic acid extraction solvent and stable isotope-labelled internal standards (SIL-IS).

      In the paper's own words

      “Sample preparation used a dilute-and-shoot approach optimised for matrix effect minimisation across the diverse cereal matrices.”

      Page 1

      “Extraction solvent: 20 mL acetonitrile/water/formic acid (79:20:1 v/v) with SIL-IS mix (50 µL, 200 µg/L each).”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Analysis was performed using a Waters Acquity UPLC I-Class coupled to a Xevo TQ-S Micro triple quadrupole mass spectrometer with a BEH C18 column. View evidence ↗

      What they did

      Analysis was performed using a Waters Acquity UPLC I-Class coupled to a Xevo TQ-S Micro triple quadrupole mass spectrometer with a BEH C18 column.

      In the paper's own words

      “LC-MS/MS system: Waters Acquity UPLC I-Class coupled to a Waters Xevo TQ-S Micro triple quadrupole mass spectrometer (Waters Corporation, Milford, USA) with electrospray ionisation (ESI) source.”

      Page 2

      “UPLC column: Waters Acquity BEH C18 (2.1 × 100 mm, 1.7 µm particle size).”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The method's limits of quantification (LOQs) ranged from 0.1 µg/kg for AFB1 to 2.5 µg/kg for DON, all of which were at or below European Union Maximum Limits. View evidence ↗

      What they found

      The method's limits of quantification (LOQs) ranged from 0.1 µg/kg for AFB1 to 2.5 µg/kg for DON, all of which were at or below European Union Maximum Limits.

      In the paper's own words

      “LOQs ranged from 0.1 µg/kg (AFB1) to 2.5 µg/kg (DON), with all values at or below EU Maximum Limits (MLs).”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Method validation showed recoveries between 72.4% and 112.3% across three spiked levels, with a relative standard deviation (RSD) of 11.4% or less. View evidence ↗

      What they found

      Method validation showed recoveries between 72.4% and 112.3% across three spiked levels, with a relative standard deviation (RSD) of 11.4% or less.

      In the paper's own words

      “Recoveries across three spiked levels ranged from 72.4 to 112.3% with RSD ≤ 11.4%.”

      Page 1

      Found in: Discussion

      Read it in the full textOpen PDF at page 1 ↗
    • Out of 270 Egyptian market cereal samples, 41.5% contained detectable mycotoxins, and 8.5% exceeded the EU Maximum Limits. View evidence ↗

      What they found

      Out of 270 Egyptian market cereal samples, 41.5% contained detectable mycotoxins, and 8.5% exceeded the EU Maximum Limits.

      In the paper's own words

      “A survey of 270 cereal samples from Egyptian markets identified mycotoxins in 41.5% of samples; 8.5% exceeded EU MLs.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Maize had the highest contamination rate at 61.7%, with Aflatoxin B1 reaching a maximum of 18.4 µg/kg, which is roughly nine times the EU limit of 2 µg/kg. View evidence ↗

      What they found

      Maize had the highest contamination rate at 61.7%, with Aflatoxin B1 reaching a maximum of 18.4 µg/kg, which is roughly nine times the EU limit of 2 µg/kg.

      In the paper's own words

      “Maize showed the highest contamination rate (61.7%) and the highest AFB1 maximum (18.4 µg/kg, approximately 9× the EU ML of 2 µg/kg).”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • Barley exhibited the highest maximum level of deoxynivalenol (DON) at 4136 µg/kg, with only one sample exceeding the EU limit of 1750 µg/kg. View evidence ↗

      What they found

      Barley exhibited the highest maximum level of deoxynivalenol (DON) at 4136 µg/kg, with only one sample exceeding the EU limit of 1750 µg/kg.

      In the paper's own words

      “Barley showed the highest DON maximum (4136 µg/kg), remaining below the EU ML of 1750 µg/kg for unprocessed cereals for human consumption in all but one sample (4136 µg/kg).”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
    • Ochratoxin A (OTA) exceeded the EU limit of 3 µg/kg in three samples (two barley, one wheat), all of which came from storage facilities in Upper Egypt with humidity control issues. View evidence ↗

      What they found

      Ochratoxin A (OTA) exceeded the EU limit of 3 µg/kg in three samples (two barley, one wheat), all of which came from storage facilities in Upper Egypt with humidity control issues.

      In the paper's own words

      “OTA exceeded EU ML (3 µg/kg for cereals) in two barley samples and one wheat sample all from Upper Egypt storage facilities with documented humidity control problems.”

      Page 3

      Found in: Introduction

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors conclude there is an urgent need for national Aflatoxin B1 monitoring programs in Egypt to allow for the rejection or diversion of shipments that exceed maximum limits. View evidence ↗

      What it means

      The authors conclude there is an urgent need for national Aflatoxin B1 monitoring programs in Egypt to allow for the rejection or diversion of shipments that exceed maximum limits.

      In the paper's own words

      “These findings support the urgent need for national AFB1 monitoring programs with rapid action protocols for shipment rejection or diversion to non-food uses when ML exceedances are detected.”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗
    • The study provides the first validated LC-MS/MS dataset for Egyptian cereals, identifying AFB1 in maize and DON in barley as the top priorities for regulatory monitoring. View evidence ↗

      What it means

      The study provides the first validated LC-MS/MS dataset for Egyptian cereals, identifying AFB1 in maize and DON in barley as the top priorities for regulatory monitoring.

      In the paper's own words

      “These results provide the first validated LC-MS/MS occurrence dataset for Egyptian market cereals and identify AFB1 in maize and DON in barley as priority mycotoxin-cereal combinations for regulatory monitoring action in Egypt.”

      Page 4

      Found in: Introduction

      Read it in the full textOpen PDF at page 4 ↗
    • A limitation of the 'dilute-and-shoot' approach is the risk of matrix component accumulation on the column, which the authors managed by performing a column wash every 10 samples. View evidence ↗

      What it means

      A limitation of the 'dilute-and-shoot' approach is the risk of matrix component accumulation on the column, which the authors managed by performing a column wash every 10 samples.

      In the paper's own words

      “The main operational risk of D&S is accumulation of co-extracted matrix components on the LC column over time, leading to retention time shifts and increased matrix effects in later injections; this was managed by injecting a column wash solution (90% methanol) every 10 samples [7].”

      Page 4

      Found in: Discussion

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Max AFB1 (µg/kg): Wheat vs Maize vs Rice vs Barley vs Sorghum
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Max AFB1 (µg/kg): Wheat vs Maize vs Rice vs Barley vs Sorghum

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Wheat: Positive (%) vs Positive and >EU ML (%)
Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Wheat: Positive (%) vs Positive and >EU ML (%)

Replotted from Table 2 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
LC-MS/MS validation parameters for eight mycotoxins in wheat matrixTable 1Page 2Mycotoxin occurrence in 270 Egyptian market cereal samplesTable 2Page 3(Left) Donut chart of mycotoxin class distribution among 112 positive cereal samples; (Right) Box plot of method recoveryFigure 1Page 3(Left) Stacked bar of mycotoxin occurrence frequency (%) by cereal type; (Right) Matrix-matched calibration curves on log scale forFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

The Food and Agriculture Organization of the United Nations estimates that 25% of the world's food supply is contaminated with mycotoxins, representing an annual economic loss of approximately USD 1 billion and a significant chronic disease burden in populations with high cereal-based dietary exposure [1] . In Egypt, where wheat bread (aish baladi) provides approximately 35% of daily caloric intake and maize is a staple for Lower Egypt rural populations, chronic low-level mycotoxin exposure is of particular concern. Aflatoxin B1 is classified by IARC as a Group 1 carcinogen with the liver as the primary target organ; fumonisin B1 promotes oesophageal cancer, the incidence of which in Egypt's Upper Nile governorates significantly exceeds the national average [2] . Multi-mycotoxin LC-MS/MS methods have become the gold standard for regulatory monitoring because they combine the selectivity of MRM transitions with the efficiency of simultaneous quantification of chemically diverse compounds that would require separate methods under classical immunochemical approaches [3] . The 'dilute-and-shoot' (D&S) sample preparation approach direct dilution of cereal extracts in acetonitrile/water without solid-phase cleanup offers significant advantages in throughput and cost over Immunoaffinity Column (IAC) or dispersive SPE (dSPE) procedures, at the cost of higher matrix effects that must be managed by matrix-matched calibration and stable isotopelabelled internal standards [4] . Despite Egypt's status as one of the largest cereal importers in the world (approximately 12 million tonnes of wheat annually), no peer-reviewed multi-mycotoxin occurrence dataset for Egyptian market cereals using validated LC-MS/MS methodology has been published in the international literature as of April 2025. Overall, 41.5% of cereal samples contained at least one detectable mycotoxin. Maize showed the highest contamination rate (61.7%) and the highest AFB1 maximum (18.4 µg/kg, approximately 9× the EU ML of 2 µg/kg). This AFB1 level in maize is consistent with findings from imported maize arriving from West African suppliers during a period of elevated Aspergillus activity correlated with pre-harvest drought conditions [5] . Barley showed the highest DON maximum (4136 µg/kg), remaining below the EU ML of 1750 µg/kg for unprocessed cereals for human consumption in all but one sample (4136 µg/kg). OTA exceeded EU ML (3 µg/kg for cereals) in two barley samples and one wheat sample all from Upper Egypt storage facilities with documented humidity control problems.

Discussion

The 13-minute total LC run time with simultaneous positive/negative switching represents a significant throughput improvement over earlier Egyptian multimycotoxin methods that required separate positive and negative injections [6] . The dilute-and-shoot approach achieved matrix effects of -9.7% to -22.3%, all within acceptable bounds when corrected by SIL-IS, and the simplified sample preparation (no SPE step) is well-suited to the high sample volumes required for a national survey. The main operational risk of D&S is accumulation of coextracted matrix components on the LC column over time, leading to retention time shifts and increased matrix effects in later injections; this was managed by injecting a column wash solution (90% methanol) every 10 samples [7] . The AFB1 levels found in maize samples (maximum 18.4 µg/kg) are concerning from a public health perspective, as chronic dietary intake of AFB1 at these concentrations contributes meaningfully to lifetime Hepatocellular Carcinoma (HCC) risk, particularly in hepatitis B surface antigen-positive individuals who have approximately 30fold synergistic risk elevation [8] . Egypt's HBsAg seroprevalence of approximately 8% in some governorates means that a significant fraction of the population is at elevated combined AFB1+HBV risk from dietary exposure to contaminated maize. These findings support the urgent need for national AFB1 monitoring programs with rapid action protocols for shipment rejection or diversion to nonfood uses when ML exceedances are detected. The high DON frequency in barley (47.0% positive rate) is consistent with its origin primarily from Fusarium head blight, which is endemic in Nile Delta barley cultivation areas during years with wet heading periods. DON at the concentrations found (< 4136 µg/kg) primarily affects animal health rather than human health at typical barley intake levels, since barley is consumed mainly as animal feed and barley bread in Egypt [9] . However, the brewing industry, which uses significant barley volumes, should note that DON is not fully removed by malting and fermentation, and could accumulate in beer to levels of regulatory concern if contaminated raw materials are processed [10] .

Conclusion

Conclusion

Figures and tables from the paper

Table 1. LC-MS/MS validation parameters for eight mycotoxins in wheat matrix
MycotoxinLOD (µg/kg)LOQ (µg/kg)EU ML (µg/kg)Linear range (µg/kg)Recovery 1× ML (%)RSD (%)ME%
AFB10.030.1020.1-10087.4 ± 4.85.5-18.4
AFB20.040.1020.1-10084.2 ± 5.16.1-21.7
OTA0.100.5030.5-20091.2 ± 4.44.8-14.3
ZEA0.200.501000.5-50084.7 ± 5.66.6-16.8
DON0.501.0017501.0-500089.3 ± 5.25.8-12.4
FB10.501.0040001.0-1000086.1 ± 5.96.8-9.7
T-20.100.501000.5-50083.4 ± 6.47.7-19.2
HT-20.100.501000.5-50080.7 ± 6.88.4-22.3

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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LC-MS/MS validation parameters for eight mycotoxins in wheat matrix↗ Enlarge
Table 1
LC-MS/MS validation parameters for eight mycotoxins in wheat matrix

LC-MS/MS validation parameters for eight mycotoxins in wheat matrix

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Original paper tableSource PDF · page 2 ↗
Table 2. Mycotoxin occurrence in 270 Egyptian market cereal samples
CerealnPositive (%)Positive and >EU ML (%)Max AFB1 (µg/kg)Max DON (µg/kg)Max OTA (µg/kg)
Wheat6038.35.03.428476.2
Maize6061.716.718.414284.8
Rice6018.31.71.11241.6
Barley6045.08.34.741368.4
Sorghum3046.710.07.89863.7
All cereals27041.58.518.4 (maize)4136 (barley)8.4 (barley)

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Mycotoxin occurrence in 270 Egyptian market cereal samples↗ Enlarge
Table 2
Mycotoxin occurrence in 270 Egyptian market cereal samples

Mycotoxin occurrence in 270 Egyptian market cereal samples

Open full-size image ↗
Original paper tableSource PDF · page 3 ↗
Figure 1. (Left) Donut chart of mycotoxin class distribution among 112 positive cereal samples; (Right) Box plot of method recovery
(Left) Donut chart of mycotoxin class distribution among 112 positive cereal samples; (Right) Box plot of method recovery↗ Enlarge
Figure 1
(Left) Donut chart of mycotoxin class distribution among 112 positive cereal samples; (Right) Box plot of method recovery

(Left) Donut chart of mycotoxin class distribution among 112 positive cereal samples; (Right) Box plot of method recovery

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 2. (Left) Stacked bar of mycotoxin occurrence frequency (%) by cereal type; (Right) Matrix-matched calibration curves on log scale for
(Left) Stacked bar of mycotoxin occurrence frequency (%) by cereal type; (Right) Matrix-matched calibration curves on log scale for↗ Enlarge
Figure 2
(Left) Stacked bar of mycotoxin occurrence frequency (%) by cereal type; (Right) Matrix-matched calibration curves on log scale for

(Left) Stacked bar of mycotoxin occurrence frequency (%) by cereal type; (Right) Matrix-matched calibration curves on log scale for

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

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