| Literature DB >> 30987731 |
Shi-Han Jian1, Pei-Jou Yeh1, Chung-Huang Wang2, Hsin-Chang Chen3, Sung-Fang Chen1.
Abstract
Heterocyclic amines (HCAs), a class made up of more than 25 compounds, are unintended hazardous substances that are generated by the heating or processing of proteinaceous foods at high temperatures. The International Agency for Research on Cancer (IARC) has classified four such HCAs (IQ, MeIQ, MeIQx, and PhIP) as being probable or possible human carcinogens. In this study, two sample preparation strategies, liquid-liquid extraction (LLE) with solid-phase extraction (SPE) and a rapid, easy, cheap, effective, rugged, and safe extraction (QuEChERS) method, were investigated for the determination of 11 types of HCAs in meat products by LC-MS/MS. The HCAs in the samples were first extracted with acetonitrile by LLE, and followed by SPE. In the case of QuEChERS extraction, acetonitrile is used as the LLME solvent, and PSA, C18EC and MgSO4 were used as the dSPE sorbent. Both methods showed good performance with respect to precision (RSD < 15.15%), accuracy (79.80-117.64%), recovery (52.39-116.88%), limit of quantitation for a spiked meat extract (0.01-10 ppb) and correlation coefficients (>0.993). The QuEChERS extraction strategy provided a better linear dynamic range and superior sensitivity in comparison with the LLE-SPE approach. HCAs were successfully quantified in real samples using the two proposed approaches by LC-MS/MS.Entities:
Keywords: HPLC-MS/MS; Heterocyclic aromatic amines; QuEChERS; Quantitation; SPE
Mesh:
Substances:
Year: 2018 PMID: 30987731 PMCID: PMC9296210 DOI: 10.1016/j.jfda.2018.10.002
Source DB: PubMed Journal: J Food Drug Anal Impact factor: 6.157
Fig. 1Optimization of the solvents used for the liquid–liquid extraction.
Fig. 2Optimization of dSPE sorbent composition for the QuEChERS.
Fig. 3Extract ion chromatogram (XIC) of 11 HCA compounds and internal standard.
LOD, LOQ and linear regression of the quantitative calibration curve for standards using LC-MRM MS analysis.
| Concentration (ppb) | Linear equation | r | |||
|---|---|---|---|---|---|
|
| |||||
| LOD | LOQ | Calibration range | |||
| IQ | 0.1 | 0.25 | 0.25–100 | y = 0.0145 x + 0.00242 | 0.9965 |
| MeIQ | 0.1 | 0.25 | 0.25–100 | y = 0.0133 x + 0.00136 | 0.9986 |
| 8-MeIQx | 0.1 | 0.25 | 0.25–100 | y = 0.0109 x + 0.00376 | 0.9965 |
| PhIP | 0.005 | 0.025 | 0.025–100 | y = 0.0151 x + 0.00146 | 0.9989 |
| MeAαC | 0.01 | 0.025 | 0.025–100 | y = 0.0226 x + 0.000926 | 0.9985 |
| AαC | 0.01 | 0.025 | 0.025–100 | y = 0.0278 x + 0.00119 | 0.9986 |
| Harman | 0.005 | 0.01 | 0.01–100 | y = 0.0425 x + 0.00197 | 0.9987 |
| Norharman | 0.025 | 0.05 | 0.05–100 | y = 0.0341 x + 0.000259 | 0.9973 |
| Trp-P-1 | 0.005 | 0.025 | 0.025–100 | y = 0.0204 x + 0.00059 | 0.9980 |
| Trp-P-2 | 0.01 | 0.025 | 0.025–100 | y = 0.0131 x + 0.000805 | 0.9981 |
| Glu-P-1 | 0.25 | 1 | 1–100 | y = 0.0029 x + 0.00126 | 0.9976 |
S/N ≥ 3
S/N ≥ 10
LOD, LOQ and linear regression of the quantitative calibration curve for the standard-spiked blank matrix using LLE/SPE and LC-MRM MS analysis.
| Concentration (ppb) | Linear equation | r | |||
|---|---|---|---|---|---|
|
| |||||
| LOD | LOQ | Calibration range | |||
| IQ | 5 | 10 | 10–250 | y = 0.0000618 x + 0.00141 | 0.9979 |
| MeIQ | 2.5 | 5 | 5–250 | y = 0.0000482 x + 0.000308 | 0.9948 |
| 8-MeIQx | 0.25 | 1 | 1–250 | y = 0.00104 x − 0.00418 | 0.9976 |
| PhIP | 0.1 | 0.25 | 0.25–100 | y = 0.0224 x + 0.00863 | 0.9975 |
| MeAαC | 2.5 | 5 | 5–250 | y = 0.00241 x − 0.0129 | 0.9976 |
| AαC | 1 | 5 | 5–250 | y = 0.00158 x − 0.0076 | 0.9979 |
| Harman | 0.05 | 0.1 | 0.1–100 | y = 0.0521 x + 0.0186 | 0.9940 |
| Norharman | 0.05 | 0.1 | 0.1–100 | y = 0.0444 x + 0.0327 | 0.9963 |
| Trp-P-1 | 1 | 2.5 | 2.5–250 | y = 0.00231 x + 0.00817 | 0.9978 |
| Trp-P-2 | 0.5 | 1 | 1–250 | y = 0.00322 x − 0.00189 | 0.9974 |
| Glu-P-1 | 5 | 10 | 10–250 | y = 0.000281 x + 0.00147 | 0.9980 |
LOD, LOQ and linear regression of the quantitative calibration curve for the standard-spiked blank matrix using QuEChERS and LC-MRM MS analysis.
| Concentration (ppb) | Linear equation | r | |||
|---|---|---|---|---|---|
|
| |||||
| LOD | LOQ | Calibration range | |||
| IQ | 0.5 | 1 | 1–250 | y = 0.00482 x − 0.00208 | 0.9988 |
| MeIQ | 0.5 | 2.5 | 2.5–250 | y = 0.00582 x − 0.00834 | 0.9965 |
| 8-MeIQx | 0.25 | 1 | 1–250 | y = 0.0134 x − 0.00727 | 0.9991 |
| PhIP | 0.005 | 0.025 | 0.025–100 | y = 0.0225 x + 0.0000865 | 0.9989 |
| MeAαC | 0.005 | 0.25 | 0.25–100 | y = 0.0139 − 0.000337 | 0.9955 |
| AαC | 0.25 | 1 | 1–250 | y = 0.0223 x − 0.0167 | 0.9973 |
| Harman | 0.005 | 0.01 | 0.01–100 | y = 0.0802 x + 0.0121 | 0.9982 |
| Norharman | 0.005 | 0.01 | 0.01–100 | y = 0.0316 x + 0.0225 | 0.9940 |
| Trp-P-1 | 0.005 | 0.025 | 0.025–100 | y = 0.0309 x − 0.000196 | 0.9980 |
| Trp-P-2 | 0.1 | 0.25 | 0.25–100 | y = 0.0145 x + 0.000731 | 0.9937 |
| Glu-P-1 | 2.5 | 5 | 5–250 | y = 0.00271 x − 0.0161 | 0.9981 |
Quantitative analysis of commercial meat products.
| LLE-SPE | Concentration (ppb) (n = 3) | |||||
|---|---|---|---|---|---|---|
|
| ||||||
| sample 1 | sample 2 | sample 3 | sample 4 | sample 5 | sample 6 | |
| IQ | 271.50 | 73.78 | 88.66 | N.Q. | 32.40 | 63.64 |
| MeIQ | N.Q. | N.D. | N.D. | N.D. | N.D. | N.D. |
| 8-MeIQx | N.D. | N.D. | N.D. | N.D. | N.D. | N.D. |
| PhIP | N.Q. | N.Q. | N.D. | N.D. | N.D. | N.D. |
| MeAαC | N.D. | N.D. | N.D. | N.D. | N.D. | N.Q. |
| AαC | N.D. | N.D. | N.D. | N.D. | N.D. | N.D. |
| Harman | 261.59 | 86.68 | 81.79 | 176.74 | 51.29 | 142.91 |
| Norharman | 32.49 | 5.67 | 7.33 | 15.67 | 4.52 | 25.95 |
| Trp-P-1 | N.D. | N.D. | N.Q. | N.D. | N.Q. | N.Q. |
| Trp-P-2 | N.D. | N.D. | N.Q. | N.D. | N.Q. | N.D. |
| Glu-P-1 | 342.19 | 120.52 | 67.67 | 465.27 | 193.76 | 718.46 |
| QuEChERS | ||||||
| IQ | 274.41 | 71.56 | 82.69 | 3.38 | 31.07 | 62.04 |
| MeIQ | N.Q. | N.D. | N.D. | N.Q. | N.D. | N.Q. |
| 8-MeIQx | N.D. | N.D. | N.D. | N.D. | N.Q. | N.D. |
| PhIP | N.Q. | N.D. | N.Q. | N.D. | N.D. | 0.10 |
| MeAαC | N.D. | N.D. | N.Q. | N.D. | N.D. | N.D. |
| AαC | N.D. | N.D. | N.D. | N.Q. | N.D. | N.Q. |
| Harman | 254.81 | 42.50 | 75.06 | 161.77 | 35.46 | 149.73 |
| Norharman | 68.76 | 8.00 | 16.11 | 33.92 | 10.29 | 58.19 |
| Trp-P-1 | N.Q. | N.Q. | 0.06 | N.Q. | N.D. | N.D. |
| Trp-P-2 | 0.53 | N.D. | N.Q. | N.Q. | N.D. | N.Q. |
| Glu-P-1 | N.D. | N.D. | N.D. | N.D. | N.D. | N.D. |
| N.D. | ||||||
Which is under the LOD for each standard.