色谱 ›› 2020, Vol. 38 ›› Issue (5): 572-580.DOI: 10.3724/SP.J.1123.2019.09013
收稿日期:
2019-09-10
出版日期:
2020-05-08
发布日期:
2020-12-10
通讯作者:
张晓华
作者简介:
张晓华.Tel:03742968812, E-mail:12016020@xcu.edu.cn基金资助:
ZHANG Xiaohua(), LÜ Minming, ZHENG Jingjing, MU Shuting, LIU Panhua, CHEN Zheng
Received:
2019-09-10
Online:
2020-05-08
Published:
2020-12-10
Contact:
ZHANG Xiaohua
Supported by:
摘要:
利用化学计量学二阶校正方法结合高效液相色谱对枣花蜜中10种酚酸类物质的快速定量分析进行了研究。首先通过验证样本研究了所建立模型的准确性。结果显示:10种酚酸类物质的线性相关系数(R)为0.9982~0.9999,平均回收率为97.6%~101.1%,说明所建立的模型稳定可靠。其次,通过模拟蜂蜜试验,确定了固相萃取柱的种类及操作条件(HLB柱,酸化水淋洗,甲醇洗脱)。最后,利用模拟蜂蜜得到的最优条件结合化学计量学二阶校正方法,测定了枣花蜜中10种酚酸类物质的含量,并测得其加标回收率为62.1%~93.8%,考虑到目标分析物的种类较多,且蜂蜜基质极为复杂,该结果基本满足要求。另外,还利用统计与品质因子验证了试验方法的可靠性,结果令人满意。该方法具有简单、快速等优点,可用于复杂基质中多种目标分析物的同时定量分析。
张晓华, 吕敏明, 郑晶晶, 母淑婷, 刘攀华, 陈征. 化学计量学二阶校正方法结合高效液相色谱用于蜂蜜中10种酚酸类物质的快速定量分析[J]. 色谱, 2020, 38(5): 572-580.
ZHANG Xiaohua, LÜ Minming, ZHENG Jingjing, MU Shuting, LIU Panhua, CHEN Zheng. Fast high-performance liquid chromatography quantification of ten phenolic acids in honey using chemometric second-order calibration method[J]. Chinese Journal of Chromatography, 2020, 38(5): 572-580.
No. | GA | 3, 4-DA | CHA | p-HA | CA | SA | p-CA | FA | AA | CIA |
GA: gallic acid; 3, 4-DA: 3, 4-dihydroxybenzoic acid; CHA: chlorogenic acid; p-HA: p-hydroxybenzoic acid; CA: caffeic acid; SA: syringic acid; p-CA: p-coumaric acid; FA: ferulic acid; AA: abscisic acid; CIA: cinnamic acid. C01-C06: calibration sample 1-calibration sample 6. V01-V05: validation sample 1-validation sample 5. | ||||||||||
C01 | 0.00 | 0.00 | 4.38 | 0.00 | 4.40 | 0.00 | 0.00 | 5.12 | 0.00 | 5.48 |
C02 | 2.76 | 0.44 | 3.94 | 0.44 | 3.96 | 4.32 | 0.43 | 4.61 | 0.44 | 4.93 |
C03 | 11.04 | 1.74 | 2.63 | 1.76 | 2.64 | 0.86 | 1.72 | 3.07 | 1.76 | 3.29 |
C04 | 16.56 | 2.62 | 1.75 | 2.64 | 1.76 | 1.30 | 2.58 | 2.05 | 2.64 | 2.19 |
C05 | 22.08 | 3.49 | 0.88 | 3.52 | 0.88 | 1.73 | 3.44 | 1.02 | 3.52 | 1.10 |
C06 | 27.60 | 4.36 | 0.00 | 4.40 | 0.00 | 2.16 | 4.30 | 0.00 | 4.40 | 0.00 |
V01 | 5.52 | 0.87 | 3.50 | 0.88 | 3.52 | 0.43 | 0.86 | 4.10 | 0.88 | 4.38 |
V02 | 8.28 | 1.31 | 3.07 | 1.32 | 3.08 | 3.89 | 1.29 | 3.58 | 1.32 | 3.84 |
V03 | 13.80 | 2.18 | 2.19 | 2.20 | 2.20 | 3.46 | 2.15 | 2.56 | 2.20 | 2.74 |
V04 | 19.32 | 3.05 | 1.31 | 3.08 | 1.32 | 3.02 | 3.01 | 1.54 | 3.08 | 1.64 |
V05 | 24.84 | 3.92 | 0.44 | 3.96 | 0.44 | 2.59 | 3.87 | 0.51 | 3.96 | 0.55 |
表1 校正样与验证样中酚酸类物质的质量浓度
Table 1 Mass concentrations of phenolic acids in calibration samples and validation samples mg/L
No. | GA | 3, 4-DA | CHA | p-HA | CA | SA | p-CA | FA | AA | CIA |
GA: gallic acid; 3, 4-DA: 3, 4-dihydroxybenzoic acid; CHA: chlorogenic acid; p-HA: p-hydroxybenzoic acid; CA: caffeic acid; SA: syringic acid; p-CA: p-coumaric acid; FA: ferulic acid; AA: abscisic acid; CIA: cinnamic acid. C01-C06: calibration sample 1-calibration sample 6. V01-V05: validation sample 1-validation sample 5. | ||||||||||
C01 | 0.00 | 0.00 | 4.38 | 0.00 | 4.40 | 0.00 | 0.00 | 5.12 | 0.00 | 5.48 |
C02 | 2.76 | 0.44 | 3.94 | 0.44 | 3.96 | 4.32 | 0.43 | 4.61 | 0.44 | 4.93 |
C03 | 11.04 | 1.74 | 2.63 | 1.76 | 2.64 | 0.86 | 1.72 | 3.07 | 1.76 | 3.29 |
C04 | 16.56 | 2.62 | 1.75 | 2.64 | 1.76 | 1.30 | 2.58 | 2.05 | 2.64 | 2.19 |
C05 | 22.08 | 3.49 | 0.88 | 3.52 | 0.88 | 1.73 | 3.44 | 1.02 | 3.52 | 1.10 |
C06 | 27.60 | 4.36 | 0.00 | 4.40 | 0.00 | 2.16 | 4.30 | 0.00 | 4.40 | 0.00 |
V01 | 5.52 | 0.87 | 3.50 | 0.88 | 3.52 | 0.43 | 0.86 | 4.10 | 0.88 | 4.38 |
V02 | 8.28 | 1.31 | 3.07 | 1.32 | 3.08 | 3.89 | 1.29 | 3.58 | 1.32 | 3.84 |
V03 | 13.80 | 2.18 | 2.19 | 2.20 | 2.20 | 3.46 | 2.15 | 2.56 | 2.20 | 2.74 |
V04 | 19.32 | 3.05 | 1.31 | 3.08 | 1.32 | 3.02 | 3.01 | 1.54 | 3.08 | 1.64 |
V05 | 24.84 | 3.92 | 0.44 | 3.96 | 0.44 | 2.59 | 3.87 | 0.51 | 3.96 | 0.55 |
图1 (a) 校正样、(b)验证样、(c)校正样C04、实际样T01和加标样S01在252 nm处的色谱图
Fig. 1 Chromatograms for (a) calibration samples, (b) validation samples, and (c) a calibration sample (C04), a jujube flower honey sample (T01), and a spiked acacia honey sample (S01) at 252 nm Peak identifications: 1. gallic acid; 2.3, 4-dihydroxybenzoic acid; 3. chlorogenic acid; 4. p-hydroxybenzoic acid; 5. caffeic acid; 6. syringic acid; 7. p-coumaric acid; 8. ferulic acid; 9. abscisic acid; 10. cinnamic acid.
No. | Analyte | Linear equation | R | Average recovery/% |
y: the relative concentration values of each analyte in calibration samples; x: the nominal concentrations in calibration samples. | ||||
1 | GA | y=8.43x+2.40 | 0.9999 | 99.0 |
2 | 3, 4-DA | y=10.99x+3.20 | 0.9993 | 100.6 |
3 | CHA | y=5.77x+0.38 | 0.9993 | 99.4 |
4 | p-HA | y=11.54x+2.30 | 0.9992 | 101.0 |
5 | CA | y=3.93x+1.18 | 0.9990 | 98.4 |
6 | p-CA | y=1.55x+2.15 | 0.9998 | 97.6 |
7 | SA | y=16.68x+0.68 | 0.9982 | 101.1 |
8 | FA | y=5.02x+0.91 | 0.9987 | 98.6 |
9 | AA | y=8.12x+0.99 | 0.9998 | 99.4 |
10 | CIA | y=0.14x+0.63 | 0.9998 | 99.0 |
表2 验证样中每个分析物的线性方程、相关系数和平均回收率(n=5)
Table 2 Linear equation, correlation coefficient (R), and average recovery of each analyte in validation samples (n=5)
No. | Analyte | Linear equation | R | Average recovery/% |
y: the relative concentration values of each analyte in calibration samples; x: the nominal concentrations in calibration samples. | ||||
1 | GA | y=8.43x+2.40 | 0.9999 | 99.0 |
2 | 3, 4-DA | y=10.99x+3.20 | 0.9993 | 100.6 |
3 | CHA | y=5.77x+0.38 | 0.9993 | 99.4 |
4 | p-HA | y=11.54x+2.30 | 0.9992 | 101.0 |
5 | CA | y=3.93x+1.18 | 0.9990 | 98.4 |
6 | p-CA | y=1.55x+2.15 | 0.9998 | 97.6 |
7 | SA | y=16.68x+0.68 | 0.9982 | 101.1 |
8 | FA | y=5.02x+0.91 | 0.9987 | 98.6 |
9 | AA | y=8.12x+0.99 | 0.9998 | 99.4 |
10 | CIA | y=0.14x+0.63 | 0.9998 | 99.0 |
Analyte | Added/ (μg/g) | HLB | PSD | MAX | |||||
Found/(μg/g) | Recovery/% | Found/(μg/g) | Recovery/% | Found/(μg/g) | Recovery/% | ||||
GA | 3.45 | 3.53 | 102.2 | 1.92 | 55.7 | 3.52 | 102.1 | ||
3, 4-DA | 0.55 | 0.46 | 82.8 | 0.37 | 67.3 | 0.43 | 78.2 | ||
CHA | 0.55 | 0.50 | 90.6 | 0.47 | 85.5 | 0.01 | 1.8 | ||
p-HA | 0.55 | 0.50 | 90.9 | 0.46 | 83.6 | 0.46 | 83.6 | ||
CA | 0.86 | 0.61 | 70.9 | 0.61 | 70.9 | 0.62 | 72.1 | ||
SA | 0.54 | 0.44 | 81.5 | 0.37 | 68.5 | 0.36 | 66.7 | ||
p-CA | 0.84 | 0.54 | 64.3 | 0.53 | 63.1 | 0.52 | 61.9 | ||
FA | 1.00 | 0.72 | 72.0 | 0.70 | 70.0 | 0.72 | 72.0 | ||
AA | 0.55 | 0.45 | 82.6 | 0.43 | 78.2 | 0.43 | 78.2 | ||
CIA | 0.69 | 0.53 | 76.8 | 0.52 | 75.4 | 0.53 | 76.8 |
表3 模拟蜂蜜中10种酚酸类物质经3种固相萃取柱净化后的回收率(n=3)
Table 3 Recoveries of the ten phenolic acids in simulated honey purified on three solid phase extraction columns (n=3)
Analyte | Added/ (μg/g) | HLB | PSD | MAX | |||||
Found/(μg/g) | Recovery/% | Found/(μg/g) | Recovery/% | Found/(μg/g) | Recovery/% | ||||
GA | 3.45 | 3.53 | 102.2 | 1.92 | 55.7 | 3.52 | 102.1 | ||
3, 4-DA | 0.55 | 0.46 | 82.8 | 0.37 | 67.3 | 0.43 | 78.2 | ||
CHA | 0.55 | 0.50 | 90.6 | 0.47 | 85.5 | 0.01 | 1.8 | ||
p-HA | 0.55 | 0.50 | 90.9 | 0.46 | 83.6 | 0.46 | 83.6 | ||
CA | 0.86 | 0.61 | 70.9 | 0.61 | 70.9 | 0.62 | 72.1 | ||
SA | 0.54 | 0.44 | 81.5 | 0.37 | 68.5 | 0.36 | 66.7 | ||
p-CA | 0.84 | 0.54 | 64.3 | 0.53 | 63.1 | 0.52 | 61.9 | ||
FA | 1.00 | 0.72 | 72.0 | 0.70 | 70.0 | 0.72 | 72.0 | ||
AA | 0.55 | 0.45 | 82.6 | 0.43 | 78.2 | 0.43 | 78.2 | ||
CIA | 0.69 | 0.53 | 76.8 | 0.52 | 75.4 | 0.53 | 76.8 |
图2 基于HPLC-DAD-ATLD方法得到的枣花蜂蜜中10种分析物的归一化色谱图
Fig. 2 Elution time profiles of the ten analytes in jujube flower honey samples based on the HPLC-DAD-ATLD method All plots were normalized to unit length in their regions (r-1-r-8).
图3 基于HPLC-DAD-ATLD方法得到的枣花蜂蜜中10种分析物的归一化光谱图
Fig. 3 Spectral profiles of the ten analytes in jujube flower honey samples based on the HPLC-DAD-ATLD method All plots were normalized to unit length in their regions (r-1-r-8).
Analyte | Background/ (μg/g) | Added/ (μg/g) | Found/ (μg/g) | Recovery/ % | |
-: not detected. | |||||
GA | 1.68 | 44.16 | 42.58 | 92.6 | |
3, 4-DA | 13.14 | 6.98 | 19.43 | 90.1 | |
CHA | - | 7.01 | 5.90 | 84.2 | |
p-HA | 8.72 | 7.04 | 15.32 | 93.8 | |
CA | 2.69 | 10.56 | 10.22 | 71.3 | |
SA | 1.10 | 6.91 | 6.07 | 71.9 | |
p-CA | 3.47 | 10.32 | 9.88 | 62.1 | |
FA | 1.58 | 12.29 | 9.35 | 63.2 | |
AA | 11.51 | 7.04 | 17.08 | 79.1 | |
CIA | - | 8.77 | 6.50 | 74.1 |
表4 基于HPLC-DAD-ATLD方法得到的枣花蜜中10种分析物的定量结果及加标回收率(n=3)
Table 4 Prediction results and recoveries based on the HPLC-DAD-ATLD method for the ten analytes in jujube flower honey samples (n=3)
Analyte | Background/ (μg/g) | Added/ (μg/g) | Found/ (μg/g) | Recovery/ % | |
-: not detected. | |||||
GA | 1.68 | 44.16 | 42.58 | 92.6 | |
3, 4-DA | 13.14 | 6.98 | 19.43 | 90.1 | |
CHA | - | 7.01 | 5.90 | 84.2 | |
p-HA | 8.72 | 7.04 | 15.32 | 93.8 | |
CA | 2.69 | 10.56 | 10.22 | 71.3 | |
SA | 1.10 | 6.91 | 6.07 | 71.9 | |
p-CA | 3.47 | 10.32 | 9.88 | 62.1 | |
FA | 1.58 | 12.29 | 9.35 | 63.2 | |
AA | 11.51 | 7.04 | 17.08 | 79.1 | |
CIA | - | 8.77 | 6.50 | 74.1 |
Analyte | SEN/ (mL/μg) | SEL | RMSEP/ (μg/mL) | LOD/ (μg/mL) | LOQ/ (μg/mL) |
SEN: sensitivity; SEL: selectivity; RMSEP: root mean square error of prediction; LOD: limit of detection; LOQ: limit of quantitation. | |||||
GA | 9.56 | 0.40 | 7.16 | 1.70 | 5.16 |
3, 4-DA | 22.99 | 0.31 | 0.58 | 0.19 | 0.58 |
CHA | 8.02 | 0.19 | 0.64 | 1.18 | 3.57 |
p-HA | 147.61 | 0.64 | 0.32 | 0.21 | 0.65 |
CA | 55.33 | 0.28 | 0.52 | 0.84 | 2.55 |
SA | 67.33 | 0.33 | 0.60 | 0.08 | 0.24 |
p-CA | 84.92 | 0.23 | 1.91 | 0.35 | 1.05 |
FA | 79.16 | 0.32 | 1.74 | 0.65 | 1.96 |
AA | 22.62 | 0.21 | 0.57 | 0.29 | 0.87 |
CIA | 45.58 | 0.21 | 0.93 | 0.27 | 0.83 |
表5 基于HPLC-DAD-ATLD方法各个分析物的品质因子计算结果
Table 5 Validation parameters for each analyte based on the HPLC-DAD-ATLD method
Analyte | SEN/ (mL/μg) | SEL | RMSEP/ (μg/mL) | LOD/ (μg/mL) | LOQ/ (μg/mL) |
SEN: sensitivity; SEL: selectivity; RMSEP: root mean square error of prediction; LOD: limit of detection; LOQ: limit of quantitation. | |||||
GA | 9.56 | 0.40 | 7.16 | 1.70 | 5.16 |
3, 4-DA | 22.99 | 0.31 | 0.58 | 0.19 | 0.58 |
CHA | 8.02 | 0.19 | 0.64 | 1.18 | 3.57 |
p-HA | 147.61 | 0.64 | 0.32 | 0.21 | 0.65 |
CA | 55.33 | 0.28 | 0.52 | 0.84 | 2.55 |
SA | 67.33 | 0.33 | 0.60 | 0.08 | 0.24 |
p-CA | 84.92 | 0.23 | 1.91 | 0.35 | 1.05 |
FA | 79.16 | 0.32 | 1.74 | 0.65 | 1.96 |
AA | 22.62 | 0.21 | 0.57 | 0.29 | 0.87 |
CIA | 45.58 | 0.21 | 0.93 | 0.27 | 0.83 |
|
[1] | 岳超, 赵超群, 毛思浩, 王展华, 施贝, 徐欣丰, 梁晶晶. 通过式固相萃取净化-超高效液相色谱-串联质谱法测定液体乳中10种氨基甲酸酯类农药残留[J]. 色谱, 2023, 41(9): 807-813. |
[2] | 孟二琼, 念琪循, 李峰, 张秋萍, 许茜, 王春民. 磺酸化磁性氮化碳固相萃取-超高液相色谱-串联质谱筛检淡水鱼中孔雀石绿和隐色孔雀石绿[J]. 色谱, 2023, 41(8): 673-682. |
[3] | 高祎阳, 丁亚丽, 陈鲁玉, 杜芳, 辛绪波, 冯娟娟, 孙明霞, 冯洋, 孙敏. 共价有机框架材料在固相萃取中的最新应用进展[J]. 色谱, 2023, 41(7): 545-553. |
[4] | 秦童童, 高莉, 赵文杰. 超交联多孔有机聚合物在柱固相萃取中的应用进展[J]. 色谱, 2023, 41(7): 554-561. |
[5] | 王秋旭, 冯启言, 朱雪强. 加速溶剂萃取-固相萃取净化结合超高效液相色谱-串联质谱法测定沉积物中双酚类化合物[J]. 色谱, 2023, 41(7): 582-590. |
[6] | 夏宝林, 汪仕韬, 殷晶晶, 张维益, 杨娜, 刘强, 吴海晶. 自动上样固相萃取-超高效液相色谱-串联质谱法同时测定水中9类43种抗菌药物残留[J]. 色谱, 2023, 41(7): 591-601. |
[7] | 赵原庆, 胡锴, 杨成, 韩鹏昭, 李立新, 刘晓冰, 张振强, 张书胜. 基于Ti3C2Tx/聚酰亚胺复合材料的分散固相萃取-液相色谱法测定尿液中儿茶酚胺类神经递质[J]. 色谱, 2023, 41(7): 572-581. |
[8] | 陈东洋, 张昊, 张磊, 王一红, 王小丹, 冯家力, 梁静, 钟旋. 固相萃取-超高效液相色谱-串联质谱法测定发酵食品中的曲酸[J]. 色谱, 2023, 41(7): 632-639. |
[9] | 王园媛, 李璐璐, 吕佳, 陈永艳, 张岚. 固相萃取-超高效液相色谱-三重四极杆质谱法测定饮用水中13种卤代苯醌类消毒副产物[J]. 色谱, 2023, 41(6): 482-489. |
[10] | 宁晓盼, 姚倩, 许忠祥, 殷耀, 柳菡, 张晓燕, 丁涛, 张勇, 侯玉, 王梦茹, 吴丽娜, 汤奇婷. 固相萃取-高效液相色谱法测定水产调味品中7种对羟基苯甲酸酯类防腐剂[J]. 色谱, 2023, 41(6): 513-519. |
[11] | 李振环, 胡小键, 陆一夫, 谢琳娜, 朱英. 基于高通量全自动固相萃取的超高效液相色谱-串联质谱法测定人尿中16种抗生素和4种β-受体激动剂[J]. 色谱, 2023, 41(5): 397-408. |
[12] | 宋新力, 王宁, 何飞燕, 程灿玲, 王飞, 王京龙, 张立华. 碳纳米管复合材料结合分散固相萃取-高效液相色谱-串联质谱法检测环境水样中痕量全氟化合物[J]. 色谱, 2023, 41(5): 409-416. |
[13] | 吴少明, 欧阳立群, 孟鹏, 何孟杭, 林钦, 陈言凯, 刘文菁, 苏晓明, 戴明. 固相萃取净化-超高效液相色谱-串联质谱法测定畜肉中18种卡因类麻醉剂[J]. 色谱, 2023, 41(5): 434-442. |
[14] | 韩林学, 张续, 胡小键, 张海婧, 邱天, 林潇, 朱英. 超高效液相色谱-串联质谱法测定人尿中12种典型个人护理品[J]. 色谱, 2023, 41(4): 312-322. |
[15] | 陆慧媛, 王利娟, 张炯恺, 张驰中, 李天娟, 季瑞雪, 沈伟健. 固相萃取-气相色谱法测定橄榄油中4种脂肪酸乙酯[J]. 色谱, 2023, 41(4): 359-365. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||