| Literature DB >> 29867486 |
Dandan Kong1, Weijun Kong1, Xiaoli Yang1, Meihua Yang1.
Abstract
Locust is esteemed as a traditional Chinese medicine, as well as one of the most important nutritional foods especially in Asian countries. However, some toxic secondary metabolites such as mycotoxins are usually found in different parts of locust to affect its quality and safety. This study aimed to investigate the aflatoxins (AFs) contaminated parts by observing Aspergillus flavus, spores' diameter, amount and distribution on head, tentacle, wing, belly and shank parts of the locust with scanning electron microscopy (SEM). Furthermore, to assess the residue levels of multi-mycotoxins in the locust, the high performance liquid chromatography with fluorescence detection (HPLC-FLD) was adopted. The technique was used to determine the contents of AFs, zearalenone (ZON) and α-zearalenol (α-ZOL) in locust and the positive samples were confirmed by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The chromatographic conditions, MS/MS parameters and the method of sample extraction were carefully optimized. Results revealed that obvious differences of Aspergillus flavus strains and spores were found, while the spores' diameter ranged from 3.0 to 13.0 μm in different contaminated parts of the locust samples. The HPLC-FLD method for multi-mycotoxins analysis showed good selectivity, linearity, recovery and precision. Limits of quantification (LOQs) were lower than 27.6 μg/kg, while limits of detection (LODs) were in the range of 0.02-8.6 μg/kg. The accuracy of the developed method was validated regarding recoveries of 80.1-118.1% with relative standard deviation (RSD) ≤ 11.4%. Finally, the developed multi-mycotoxin method was applied for screening of these mycotoxins in 11 commercial locust samples. Only AFB1 and AFB2 were found in six samples, and the contamination levels ranged from 0.12 to 4.4 μg/kg, which were lower than the maximum residue limit and can be used safely. This is the first report on the exploration of contamination parts and levels of multi-mycotoxins in medicinal and edible locust. The combined method of SEM and HPLC-FLD exhibited advantages of low cost, high sensitivity, rapid determination, convenience and especially intuitive judgment, which is proposed for contamination parts observation, for the large-scale quantification of multi-mycotoxins in other medicinal animal matrices.Entities:
Keywords: HPLC-FLD; SEM; contamination parts; locust; multi-mycotoxins
Year: 2018 PMID: 29867486 PMCID: PMC5966561 DOI: 10.3389/fphar.2018.00480
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Parameters of flow rate and the conditions of mobile phase gradient for detection of four AFs by HPLC-MS/MS.
| Time/min | Flow rate/(mL/min) | A (%) | B (%) |
|---|---|---|---|
| 0.00 | 0.4 | 90 | 10 |
| 0.50 | 0.4 | 90 | 10 |
| 3.00 | 0.4 | 60 | 40 |
| 6.00 | 0.4 | 55 | 45 |
| 7.00 | 0.4 | 10 | 90 |
| 8.00 | 0.4 | 10 | 90 |
| 8.10 | 0.4 | 90 | 10 |
Instrument parameters of MS/MS conditions for detection of four AFs.
| Components | AFG2 | AFG1 | AFB2 | AFB1 |
|---|---|---|---|---|
| Precursor ions Q1 (m/z) | 331.2 | 329.2 | 315.2 | 313.2 |
| Product ions Q3 (m/z) | 313.1 | 311.1 | 287.1 | 285.1 |
| 245.1 | 243.1 | 259.1 | 241.1 | |
| Capillary voltage (V) | 3,500 | 3,500 | 3,500 | 3,500 |
| Fragmentor (V) | 380 | 380 | 380 | 380 |
| Collision energy (V) | 25 | 20 | 25 | 22 |
| Nebulizer temperature (°C) | 150 | 150 | 150 | 150 |
| Nebulizer pressure (psi) | 45 | 45 | 45 | 45 |
| Nebulizer flow rate (L/min) | 15 | 15 | 15 | 15 |
| Sheath temperature (°C) | 350 | 350 | 350 | 350 |
| Sheath flow rate (L/min) | 11 | 11 | 11 | 11 |
Validation data of AFG2, AFG1, AFB2, AFB1, α-ZOL, ZON.
| Mycotoxin | Liner range (ng/mL) | Equation | LOD (μg/kg) | LOQ (μg/kg) | |
|---|---|---|---|---|---|
| AFG2 | 0.06–6.00 | 0.9999 | 0.04 | 0.14 | |
| AFG1 | 0.20–20.00 | 0.9999 | 0.10 | 0.32 | |
| AFB2 | 0.06–6.00 | 0.9998 | 0.02 | 0.07 | |
| AFB1 | 0.20–20.00 | 0.9998 | 0.04 | 0.14 | |
| α-ZOL | 30.00–600.00 | 0.9999 | 6.60 | 19.10 | |
| ZON | 30.00–600.00 | 0.9997 | 8.60 | 27.60 | |
Intra- and inter-day precision of the developed method.
| Concentration of reference solution (ng/mL) | Intra-day RSD (%) | Inter-day RSD (%) | Stability RSD (%) |
|---|---|---|---|
| AFG2 (0.6 ng/mL) | 0.80 | 0.62 | 1.03 |
| AFG1 (2.0 ng/mL) | 0.99 | 0.98 | 1.53 |
| AFB2 (0.6 ng/mL) | 0.60 | 0.57 | 1.11 |
| AFB1 (2.0 ng/mL) | 0.96 | 0.87 | 1.82 |
| α-ZOL (60.0 ng/mL) | 1.19 | 3.90 | 1.56 |
| ZON (60.0 ng/mL) | 1.21 | 3.12 | 1.64 |
Recovery and repeatability of AFG2, AFG1, AFB2, AFB1, α-ZOL, ZON.
| Mycotoxins | Spiked level (μg/kg) | Test value (μg/kg) | Recovery/(%, | RSD (%) | ||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||
| AFG2 | 0.3 | 0.32 | 0.34 | 0.33 | 110.6 | 7.50 |
| 1.5 | 1.36 | 1.37 | 1.34 | 90.3 | 1.15 | |
| 3 | 2.40 | 2.55 | 2.53 | 83.1 | 3.10 | |
| AFG1 | 1 | 1.06 | 1.08 | 1.03 | 105.7 | 8.33 |
| 5 | 4.37 | 4.49 | 4.37 | 88.3 | 1.27 | |
| 10 | 8.49 | 8.94 | 8.82 | 87.6 | 2.67 | |
| AFB2 | 0.3 | 0.30 | 0.32 | 0.30 | 102.8 | 9.61 |
| 1.5 | 1.33 | 1.38 | 1.31 | 89.4 | 2.65 | |
| 3 | 2.61 | 2.74 | 2.68 | 89.2 | 2.41 | |
| AFB1 | 1 | 1.06 | 0.93 | 0.95 | 97.7 | 11.4 |
| 5 | 4.52 | 4.64 | 4.41 | 90.5 | 2.55 | |
| 10 | 8.90 | 9.53 | 9.41 | 93.1 | 3.01 | |
| α-ZOL | 30 | 35.73 | 34.91 | 35.62 | 118.1 | 7.87 |
| 60 | 55.62 | 50.66 | 57.73 | 91.1 | 6.64 | |
| 300 | 298.67 | 288.82 | 266.88 | 94.9 | 5.71 | |
| ZON | 30 | 32.47 | 34.27 | 29.01 | 106.4 | 8.38 |
| 60 | 49.73 | 47.81 | 46.62 | 80.1 | 3.27 | |
| 300 | 293.59 | 344.65 | 313.89 | 105.8 | 8.10 | |
Co-detection of six mycotoxins in real locust samples from different sources in China (n = 3).
| No. | Source | Concentration (μg/kg) | |||||
|---|---|---|---|---|---|---|---|
| AFG2 | AFG1 | AFB2 | AFB1 | α-ZOL | ZON | ||
| 1 | Guangxi | – a | – | – | 0.17 | – | – |
| 2 | Guangxi | – | – | – | <LOQ b | – | – |
| 3 | Guangxi | – | – | – | – | – | – |
| 4 | Guangxi | – | – | – | <LOQ | – | – |
| 5 | Yunnan | – | – | – | 0.14 | – | – |
| 6 | Yunnan | – | – | – | <LOQ | – | – |
| 7 | Yunnan | – | – | – | – | – | – |
| 8 | Bozhou | – | – | 0.12 | 4.4 | – | – |
| 9 | Bozhou | – | – | – | 0.32 | – | – |
| 10 | Bozhou | – | – | – | 0.46 | – | – |
| 11 | Bozhou | – | – | – | 0.69 | – | – |