Literature DB >> 26504613

Detection of Gelatin Adulteration in Traditional Chinese Medicine: Analysis of Deer-Horn Glue by Rapid-Resolution Liquid Chromatography-Triple Quadrupole Mass Spectrometry.

Jia Chen1, Xian-Long Cheng1, Feng Wei1, Qian-Qian Zhang1, Ming-Hua Li1, Shuang-Cheng Ma1.   

Abstract

Simultaneous identification of donkey-hide gelatin and bovine-hide gelatin in deer-horn glue was established by rapid-resolution liquid chromatography-triple quadrupole mass spectrometry. Water containing 1% NH4HCO3 was used for sample dissolution and trypsin was used for hydrolysis of the gelatins. After separation by a SB-C18 reversed-phase analytical column, collagen marker peptides were detected by mass spectrometry in positive electrospray ionization mode with multiple reaction monitoring. The method was specific, precise and reliable, and suitable for detection of adulterants derived from donkey-hide gelatin and bovine-hide gelatin in deer-horn glue.

Entities:  

Year:  2015        PMID: 26504613      PMCID: PMC4609468          DOI: 10.1155/2015/259757

Source DB:  PubMed          Journal:  J Anal Methods Chem        ISSN: 2090-8873            Impact factor:   2.193


1. Introduction

Deer-horn glue (Cervi Cornus Colla) is a traditional Chinese medicine (TCM) that has been widely used in China for about 2000 years. It is a solid glue prepared from deer horn by decoction and concentration [1]. It is viewed as a nutritious, high-quality TCM, as indicated in “Shennong's Herbal,” and is predominantly used for treating kidney disorders and Qi deficiency. It is claimed that long-time consumption of deer-horn glue will nourish yin, replenish blood, and prolong life. Because of the high market price and an inability to satisfy demand, adulteration is common and the most widely practiced approach is to substitute and/or replace the authentic material with donkey- and bovine-hide gelatin. It has long been difficult to control the quality of deer-horn glue because of the absence of appropriate quality assessment methods. The polymerase chain reaction method has been used in DNA analysis for collagen identification [2, 3], but the method is not suitable for gelatin identification because of the breakdown of gelatin DNA during sample processing. Literature research has revealed that proteomic methods have been proposed as alternative tools for the assessment of collagen species in gelatins [4] and mass spectrometry has been successfully applied to elucidate differences among homological gelatins [5]. In our work, the focus of research has been on method specificity for differentiation of homological gelatins. In our previous work [6, 7], for instance, tryptic peptides of gelatins were measured by ultrahigh performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS), and principal component analysis was used to classify donkey-hide gelatin, bovine-hide gelatin, and deer-horn glue. Thereafter, gelatins were analyzed by doubly charged selected ion monitoring (DCSIM) with tandem mass spectrometry (MS/MS) to aid in the identification of the gelatins. The possibility of detecting the target peptides in such gelatins with rapid-resolution liquid chromatography (RRLC) coupled to electrospray ionization- (ESI-) ion trap (IT) MS would be a useful development. Generally, HPLC-QQQ MS/MS is a sensitive analytical method available for detection of the adulterants. As shown recently, high-pressure liquid chromatography-mass spectrometry (HPLC-MS) is a widely used technique for qualitative and quantitative analyses, combining the efficient separation capability of HPLC with the powerful structural capability of MS [8-19]. In addition, the MS method offers the potential for high sensitivity and selectivity through multiple reaction monitoring (MRM) without the need for baseline chromatographic separation of the target analytes [20-22]. In the present work, RRLC-QQQ-MS with MRM has been used for characterization of deer-horn glue and detection of gelatin adulteration. A fully validated method has been developed, permitting measurement of the collagen marker peptides in commercial samples of deer-horn glue adulterated with donkey-hide and bovine-hide gelatins.

2. Experimental

2.1. Materials and Reagents

Formic acid was purchased from Sigma-Aldrich (St. Louis, MO, USA) and HPLC-grade acetonitrile (MeCN) was purchased from Fisher Scientific (Pittsburgh, PA, USA). Ultrahigh-purity water was prepared using a Milli-Q water purification system (Millipore Corporation, Bedford, MA, USA). Trypsin (sequencing grade) was obtained from Promega (Madison, WI, USA). Syringe filters (0.22 μm) were purchased from Millipore (Billerica, MA, USA). All other chemicals used were of analytical grade. All samples were collected by the National Institute for Food and Drug Control.

2.2. Sample Preparation

First, 100 mg of the gelatin was dissolved in 50 mL of a 1% NH4HCO3 solution (pH 8.0). Then 10 μL of trypsin solution (1 mg/mL in 1% NH4HCO3, pH 8.0) was added to 100 μL of the gelatin solution. The mixture was incubated at 37°C for 12 h. All gelatin samples were prepared in this way. The sources of the gelatin samples are shown in Table 1.
Table 1

Gelatin sources.

SampleStandard gelatinSourceLot number by NIFDC
1Deer-horn glue Cervus elaphus Linnaeus121694-201301
2Donkey-hide gelatin Equus asinus L.121274-201202
3Bovine-hide gelatin Bos taurusdomesticus Gmelin121695-201301

2.3. Chromatographic Separation and Mass Spectrometry

The RRLC analysis was performed using an Agilent 1200 LC system (Agilent, MA, USA). Chromatographic separation was performed on an Agilent Zorbax SB-C18 reversed-phase analytical column (100 mm × 2.1 mm; 1.8 μm particle size) at a column temperature of 45°C. The sample injection volume was 5 μL. The mobile phase consisted of 0.1% formic acid in water (eluent A) and acetonitrile (eluent B). Gradient elution was performed as follows: 0–25 min eluent B 5% → 20%; 25–40 min eluent B 20% → 50%. The flow rate was 0.3 mL·min−1. Mass spectrometry experiments were performed with an ESI source in positive ion mode. The vaporizer temperature was maintained at 350°C. The temperature of the drying gas was set at 350°C. The flow rate of the drying gas and the pressure of the nebulizer gas were set at 6 L/min and 60 psi, respectively. In MRM scan mode, the precursor and product ions should be set. The intensity of the precursor ion should be higher after optimizing the fragmentation voltage and the intensity of the product ion should also be higher after collision energy (CE) optimization. After optimization, the voltages for fragmentation and the CE were recorded (Table 2). An Agilent ChemStation was used for instrument (Agilent 6410B series triple quadrupole MS system) control and data processing. This included definitive identification of metabolites using retention times and fragmentation transition matching. Chromatographic separation was achieved using identical conditions to those described above for IT-MS experiments [6, 7]. Gradient elution was performed as follows: 0–25 min eluent B 5% → 20%; 25–40 min eluent B 20% → 50%. The flow rate was 0.3 mL·min−1.
Table 2

Precursor and product ions for the gelatin species and operating parameters for fragmentation voltage and collision-activated dissociation voltage.

NumberPrecursorProduct ionOriginated fromRetention timeFragment voltageCollision energy
m/z m/z mineVeV
A1732.8817.9/961.9Deer-horn glue11.208017530
A2765.4554.0/733.0Deer-horn glue17.120913515
B1641.3783.3/726.2Bovine-hide gelatin7.430913537
B2790.9912.4/841.3Bovine-hide gelatin12.544617532
B3747.3903.3/847.1Bovine-hide gelatin13.400415526
B4604.8569.8/910.1Bovine-hide gelatin15.200213525
C1618.8721.9/778.9Donkey-hide gelatin7.740713523
C2539.8612.4/923.8Donkey-hide gelatin10.104313515
C3765.9823.1/991.0Donkey-hide gelatin18.837915545

3. Results and Discussion

Method validation was performed according to the guidelines of the Chinese Pharmacopoeia (2010 edition) for TCM. The key performance parameters evaluated were selectivity, signal linearity, sensitivity, and repeatability.

3.1. Selectivity

The specificity of the method was investigated using deer-horn glue as a blank sample, while donkey- and bovine-hide gelatin serving as positive control samples. In previous work, the gelatins were characterized using DCSI-MS/MS. In this study, doubly charged ions at m/z 641.3, 747.5, 790.9, and 604.8, which are the species-specific peptides of bovine-hide gelatin, were selected for monitoring. Also, the fragments of these monitored ions resulted in the following additional characteristic molecular ion pairs: m/z 641.3 → 783.3, 641.3 → 726.2, 747.5 → 903.3, 747.5 → 847.1, 790.9 → 912.4, 790.9→841.3, 604.8→569.8, and 604.8→910.1. Doubly charged ions at 539.8, 618.8, and 765.9, which are species-specific peptides of donkey-hide gelatin, were selected for monitoring and yielded the following molecular ion transition pairs: 539.8 → 612.4, 539.8 → 923.8, 618.8 → 721.9, 618.8 → 778.9, 765.9 → 823.1, and 765.9 → 991.0. The chromatographic peaks were verified by checking the retention times and fragments of the peaks. As a result, chromatographic peaks for deer-horn glue were different to those of donkey-hide gelatin and bovine-hide gelatin. This meant that the mass spectra for the peptides in deer-horn glue were not subject to interference, as shown in Figure 1.
Figure 1

(a) Characteristic selected ion chromatograms for deer-horn glue. (b) Characteristic selected ion chromatograms for bovine-hide gelatin. (c) Characteristic selected ion chromatograms for donkey-hide gelatin.

3.2. Signal Linearity

3.2.1. Calibration Curves for Bovine-Hide Gelatin

A matrix solution of deer-horn gelatin standard was prepared by dissolving 100.0 mg of standard in 50 mL of a 1% NH4HCO3 solution (pH 8.0). Next, 100.6 mg of the bovine-hide gelatin standard was dissolved in 50 mL of a 1% NH4HCO3 solution (pH 8.0). Increasing aliquots (0.1, 0.5, 1.0, 1.5, and 5.0 mL) of the bovine-hide gelatin standard solutions were dissolved in 10 mL of the differing matrix solutions. Then, 100 μL of the gelatin standard solution was taken and 10 μL of trypsin solution (1 mg/mL in 1% NH4HCO3, pH 8.0) was added. The mixtures were incubated at 37°C for 12 h.

3.2.2. Calibration Curves for Donkey-Hide Gelatin

For sample preparation, 119.6 mg of the donkey-hide gelatin standard was dissolved in 50 mL of a 1% NH4HCO3 solution (pH 8.0). This solution was then subjected to the same method as outlined in Section 3.2.1. The regression equations, correlation coefficients, and test ranges for calibration are shown in Table 3. The results showed that there was an excellent correlation between the ratio of peak area response and concentration for each compound within the test ranges examined.
Table 3

Signal linearity curves for two analytes.

AnalytesLinear equationsRange (μg/mL) R 2
Bovine-hide gelatin Y = 3715X + 321.120.12–10060.957
Donkey-hide gelatin Y = 32485X − 113023.92–11960.995

3.3. Sensitivity

The limit of detection (LOD), defined as the peak signal with a signal to noise ratio = 3/1, was determined based on injections (2 μL) of low level standard solutions. The results demonstrated that the method was very sensitive with LODs of 10 × 10−6 g/mL and 20 × 10−6 g/mL for the peptides in the bovine- and donkey-hide gelatin samples, respectively.

3.4. Repeatability

Five replicate samples were prepared by the above method and the selected ion chromatograms, shown in Figures 2 and 3, confirm that the method provided reproducible detection of the collagen marker peptides.
Figure 2

Characteristic selected ion chromatograms obtained for the tryptic digests of five donkey-hide gelatins.

Figure 3

Characteristic selected ion chromatograms obtained for the tryptic digests of six bovine-hide gelatins.

3.5. Species Identification by RRLC-QQQ-MS

The complex peptide pools obtained by tryptic digestion of the gelatins were subjected to LC-MS/MS and the characteristic molecular ion peaks for the bovine- and donkey-hide gelatins were detected as ion pairs listed in Table 2. Typical MRM chromatograms are shown in Figures 4 and 5. Commercial samples were positively identified after matching specific peptides in these samples with the corresponding reference samples. In 29 commercial samples of deer-horn glue analyzed, 12 tested positive for bovine-hide gelatin and 2 tested positive for donkey-hide gelatin, as indicated in Table 4. Overall, the proposed method provides a new and efficient route for unambiguous measurement of collagen marker peptides of bovine- and donkey-hide gelatins.
Figure 4

Representative MRM chromatograms for bovine-hide gelatins in tested samples.

Figure 5

Representative MRM chromatograms for donkey-hide gelatins in tested samples.

Table 4

Results for commercial samples of deer-horn glue.

NumberSampleNumberOriginDonkey-hide gelatinBovine-hide gelatinDeer-horn glue
1Deer-horn glue001Henan Province++
2Deer-horn glue002Henan Province+
3Deer-horn glue003Shandong Province+
4Deer-horn glue004Henan Province++
5Deer-horn glue005Hubei Province+
6Deer-horn glue006Hunan Province++
7Deer-horn glue007Hebei Province++
8Deer-horn glue008Hebei Province++
9Deer-horn glue009Hunan Province++
10Deer-horn glue010Henan Province++
11Deer-horn glue011Henan Province+
12Deer-horn glue012Hunan Province++
13Deer-horn glue013Inner Mongolia Autonomous Region++
14Deer-horn glue014Shandong Province++
15Deer-horn glue015Shandong Province+
16Deer-horn glue016Shandong Province+
17Deer-horn glue017Beijing Municipality+
18Deer-horn glue018Beijing Municipality+
19Deer-horn glue019Beijing Municipality+
20Deer-horn glue020Hubei Province+
21Deer-horn glue021Hubei Province+
22Deer-horn glue022Hubei Province+
23Deer-horn glue023Henan Province+
24Deer-horn glue024Henan Province+
25Deer-horn glue025Henan Province+
26Deer-horn glue026Shandong Province+
27Deer-horn glue027Shandong Province+
28Deer-horn glue028Beijing Municipality+
29Deer-horn glue029Beijing Municipality+
30Deer-horn glue 121694-201301Standard gelatin from NIFDC+
31Donkey-hide gelatin121274-201202Standard gelatin from NIFDC+
32Bovine-hide gelatin121695-201301Standard gelatin from NIFDC+

4. Conclusions

The RRLC-MS method with MRM provides an excellent qualitative tool for quality assessment of deer-horn glue because of its high sensitivity and specificity. As shown, collagen marker peptides associated with donkey-hide gelatin and bovine-hide gelatin and presented as adulterants in deer-horn glue, were readily detected. Furthermore, according to the signal linearity, we can estimate the amount of adulteration roughly and provide a specified limitation for adulteration. In survey analysis, almost 50% of commercial samples were found to have been adulterated by the addition of donkey- and/or bovine-hide gelatin, which were more than 3% of adulterants in samples according to the signal linearity.
  17 in total

1.  Two assays for measuring fibrosis: reverse transcriptase-polymerase chain reaction of collagen alpha(1) (III) mRNA is an early predictor of subsequent collagen deposition while a novel serum N-terminal procollagen (III) propeptide assay reflects manifest fibrosis in carbon tetrachloride-treated rats.

Authors:  S G Kauschke; A Knorr; M Heke; J Kohlmeyer; M Schauer; G Theiss; R Waehler; E R Burchardt
Journal:  Anal Biochem       Date:  1999-11-15       Impact factor: 3.365

2.  Biotransformation of isoimperatorin by rat liver microsomes and its quantification by LC-MS/MS method.

Authors:  Tian-Li Chen; You-Bo Zhang; Wei Xu; Ting-Guo Kang; Xiu-Wei Yang
Journal:  Fitoterapia       Date:  2013-12-29       Impact factor: 2.882

Review 3.  Building and searching tandem mass (MS/MS) spectral libraries for peptide identification in proteomics.

Authors:  Henry Lam; Ruedi Aebersold
Journal:  Methods       Date:  2011-01-28       Impact factor: 3.608

4.  Comparison of the efficiency of different extraction methods for the simultaneous determination of mycotoxins and pesticides in milk samples by ultra high-performance liquid chromatography-tandem mass spectrometry.

Authors:  M M Aguilera-Luiz; P Plaza-Bolaños; R Romero-González; J L Martínez Vidal; A Garrido Frenich
Journal:  Anal Bioanal Chem       Date:  2011-02-01       Impact factor: 4.142

5.  Determination of 32 cathinone derivatives and other designer drugs in serum by comprehensive LC-QQQ-MS/MS analysis.

Authors:  Madeleine J Swortwood; Diane M Boland; Anthony P DeCaprio
Journal:  Anal Bioanal Chem       Date:  2012-11-23       Impact factor: 4.142

6.  The (un)certainty of selectivity in liquid chromatography tandem mass spectrometry.

Authors:  Bjorn J A Berendsen; Linda A M Stolker; Michel W F Nielen
Journal:  J Am Soc Mass Spectrom       Date:  2012-12-11       Impact factor: 3.109

7.  Quantification of amygdalin in nonbitter, semibitter, and bitter almonds (Prunus dulcis) by UHPLC-(ESI)QqQ MS/MS.

Authors:  Jihyun Lee; Gong Zhang; Elizabeth Wood; Cristian Rogel Castillo; Alyson E Mitchell
Journal:  J Agric Food Chem       Date:  2013-07-31       Impact factor: 5.279

8.  Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.

Authors:  D R Mani; Susan E Abbatiello; Steven A Carr
Journal:  BMC Bioinformatics       Date:  2012-11-05       Impact factor: 3.169

9.  Quantitative LC-MS/MS analysis of seven ginsenosides and three aconitum alkaloids in Shen-Fu decoction.

Authors:  Na Guo; Mingtao Liu; Dawei Yang; Ying Huang; Xiaohong Niu; Ruifan Wu; Ying Liu; Guizhi Ma; Deqiang Dou
Journal:  Chem Cent J       Date:  2013-10-10       Impact factor: 4.215

10.  Using the Doubly Charged Selected Ion Coupled with MS/MS Fragments Monitoring (DCSI-MS/MS) Mode for the Identification of Gelatin Species.

Authors:  Xian-Long Cheng; Feng Wei; Jia Chen; Ming-Hua Li; Lei Zhang; Ying-Yong Zhao; Xin-Yue Xiao; Shuang-Cheng Ma; Rui-Chao Lin
Journal:  J Anal Methods Chem       Date:  2014-03-13       Impact factor: 2.193

View more
  2 in total

1.  Species-specific identification of donkey-hide gelatin and its adulterants using marker peptides.

Authors:  Jinju Zhang; Menghua Wu; Zhiguo Ma; Ying Zhang; Hui Cao
Journal:  PLoS One       Date:  2022-08-12       Impact factor: 3.752

2.  To Estimate Performance of Artificial Neural Network Model Based on Terahertz Spectrum: Gelatin Identification as an Example.

Authors:  Yizhang Li; Lingyu Liu; Zhongmin Wang; Tianying Chang; Ke Li; Wenqing Xu; Yong Wu; Hua Yang; Daoli Jiang
Journal:  Front Nutr       Date:  2022-07-14
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.