Lei Zhu1, Li Liu1,2, Le Du1, Jingmei Hao1, Jianhua Ma1, Jun Zhu1, Wenjing Gong1. 1. Institute of Forensic Medicine and Laboratory Medicine, Jining Medical University, Jining 272067, China. 2. School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China.
Abstract
A rapid, accurate, and selective analytical method to simultaneously quantify 13 anticoagulant rodenticides in animal biological samples was developed using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) coupled with electrospray ionization (ESI) in negative mode. Samples were extracted and purified based on a modified QuEChERS (quick, easy, cheap, effective, rugged, safe) sample preparation technique. The sample pH and the type of extraction solvent and cleanup sorbent used to estimate the procedure's effectiveness were optimized. To improve the matrix effects and obtain acceptable recoveries for 13 rodenticides, 0.1 mL/g biological sample and 1 mL acetonitrile (or acetonitrile: EtOAc = 1:1/(v:v)) extraction followed by Florisil/HC-C18/anhydrous Na2SO4 (NaCl) cleanup under alkaline conditions was fully validated and shown to be selective, precise, accurate, and linear in the range from 1 to 100 ng/mL (g). The mean recoveries were between 52.78 and 110.69%, while the limits of detection and quantification ranged from 0.05 to 0.5 and 0.1-1 ng/mL (μg/kg), respectively. Ideal soft matrix effects (≤20%) were observed for the vast majority of rodenticides (>95%) showing either suppression or enhancement. This method meets international criteria and is capable of simultaneously identifying and quantifying anticoagulant rodenticides in animal blood and tissues and can be suitable for the detection of poisoning cases in the field of forensic or public health.
A rapid, accurate, and selective analytical method to simultaneously quantify 13 anticoagulant rodenticides in animal biological samples was developed using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) coupled with electrospray ionization (ESI) in negative mode. Samples were extracted and purified based on a modified QuEChERS (quick, easy, cheap, effective, rugged, safe) sample preparation technique. The sample pH and the type of extraction solvent and cleanup sorbent used to estimate the procedure's effectiveness were optimized. To improve the matrix effects and obtain acceptable recoveries for 13 rodenticides, 0.1 mL/g biological sample and 1 mL acetonitrile (or acetonitrile: EtOAc = 1:1/(v:v)) extraction followed by Florisil/HC-C18/anhydrous Na2SO4 (NaCl) cleanup under alkaline conditions was fully validated and shown to be selective, precise, accurate, and linear in the range from 1 to 100 ng/mL (g). The mean recoveries were between 52.78 and 110.69%, while the limits of detection and quantification ranged from 0.05 to 0.5 and 0.1-1 ng/mL (μg/kg), respectively. Ideal soft matrix effects (≤20%) were observed for the vast majority of rodenticides (>95%) showing either suppression or enhancement. This method meets international criteria and is capable of simultaneously identifying and quantifying anticoagulant rodenticides in animal blood and tissues and can be suitable for the detection of poisoning cases in the field of forensic or public health.
In
recent years, incidents of livestock poisoning caused by accidental
or deliberate poisoning with anticoagulant rodenticides (ARs) have
occurred frequently, and illegal poaching using rodent poisoning for
profit has also been reported from time to time.[1−3] ARs can accumulate
in cattle, sheep, and other livestock after ingestion of the drug,
and when such livestock are processed into animal-derived foods such
as meat products and dairy products, the resulting products may pose
risks to human health.[4,5] In addition, wildlife protection
survey results also show that poisoning caused by this type of rodenticide
is also an important cause of wildlife mortality. Target animals taking
poisonous rodenticide bait and nontarget wildlife scavenging on carcasses
containing high concentrations of poisons can both cause poisoning
or death.[6,7] Because of the wide variety of ARs, most
of them are permitted for use in farmland, pasture, and even residential
areas to eliminate the damage of voles and other rodents to cash crops
and foods. ARs are commonplace chemicals that can be found in many
homes, hardware stores, and big box stores and can be purchased in
many forms, including blocks, pellets, and powders. Therefore, safety
accidents involving such poisons have the characteristics of concealment,
suddenness, and complexity, and realizing timely and effective management
and handling of AR poisoning is a great challenge. Currently, the
presence of these chemicals in food and other wildlife samples has
prompted warnings from the Centers for Disease Control (CDC) and Wildlife
Conservation Associations of various countries.[8−10]There
are two classes of ARs, hydroxycoumarins and indandiones,
whose active constituents are 4-hydroxycoumarins and indandione derivatives,
respectively (see structures in Supporting Information, Figure S1).[11,12] These kinds of drugs can block
the vitamin K epoxide reductase required to reduce vitamin K epoxide,
an essential factor in the biosynthesis of clotting factors.[10,12] In voles and other rodents, the synthesis of prothrombin is inhibited
in the body, making the capillary wall brittle after taking the drugs,
resulting in visceral coagulation disorders, hemorrhage, and even
death after a few days.[11,13,14] The representative types of commonly used indandione rodenticides
include diphacinone, valone, and pindone.[15,16] Hydroxycoumarin rodenticides are usually divided into two generations.
The first generation is known as chronic drugs, mainly coumatetralyl,
warfarin, coumachlor, and so forth, whose rodent-killing effect is
slow and requires accumulation of several doses within a few days.
The second generation, including bromadiolone, brodifacoum, and difenacoum,
is a class of high-efficiency compounds that can kill rodents in a
single use.[14] ARs are characterized by
low toxicity to humans while simultaneously having good rodent-killing
effects.[15] The highest concentration in
human blood can be reached within a few minutes to 1 h after ingestion,
and the clinical onset time is longer, usually more than 36 h.[14] In animal experiments, the half-life period
of warfarin in the blood of dogs is approximately 14 h, and those
of diphacinone and brodifacoum are approximately 4.5 and 6 days, respectively.[17] Therefore, the long half-life makes blood the
first choice for AR poisoning detection.[12,14]At present, a number of analytical methods are used to detect
ARs,
including thin-layer chromatography,[18] spectrophotometry,[19] high-performance liquid chromatography (HPLC)
with ultraviolet (UV) and fluorescence detectors (FLDs),[12,20] gas chromatography–mass spectrometry,[21,22] and liquid chromatography–mass spectrometry (LC-MS).[23] However, these methods usually suffer from a
lack of sensitivity and selectivity and complicated sample preparation
at the same time, and the qualitative and quantitative accuracy is
easily affected by instrument errors, which make it difficult to meet
the rapid screening and trace detection requirements of ARs. In recent
years, liquid chromatography coupled with electrospray ionization
tandem mass spectrometry based on a triple quadrupole configuration
(LC-MS/MS) has been widely developed and used in poisoning cases with
the advantages of high instrument sensitivity, excellent specificity,
speed and reliable detection results and ability to screen multiple
ARs in complex samples at the same time.[11] Generally, cases involving AR poisoning mainly use the blood of
freshly poisoned persons/animals as biological samples.[24,25] However, the field survey results show that the poisoning or death
of wildlife or livestock after being exposed to poisonous bait or
animal carcasses containing ARs is often not detected in time.[7] The symptoms of such drug poisoning are easily
confused with some medical diseases.[14,26] Therefore,
mastering the detection methods of AR residues and specifically determining
their content in animal tissues is of great significance for scientific
investigation of the cause of animal poisoning/death and for biosafety
and human health.Previous studies have shown that it is necessary
to consider the
interference of impurities in the samples on the detection process
of target compounds when using animal tissue as a biomaterial.[27] It is known that the water content of animal
samples is approximately 70–80% in addition to a variety of
proteins, carbohydrates, pigments, fats, and sterols. These components
are the main interferences of the analyte in the sample preparation
process and at the same time the main source of the matrix effect.[28] Their existence not only affects the detection
results but also causes pollution to instruments with high sensitivity.
Therefore, choosing an appropriate sample pretreatment method is a
crucial step for the detection of target compounds in complex biological
samples. Since the QuEChERS (quick, easy, cheap, effective, rugged,
safe) sample preparation technique was first proposed by Anastassiades
et al. in 2003,[29] this method has been
widely used in the field of multiresidue detection of foods and medicines
because of its rapid, simple, environmentally friendly, and inexpensive
qualities. With the progress and development of this method, researchers
continue to improve the technology and apply it to the detection of
ARs in food and animal plasma.[11,30] At present, limited
research reports on the extraction and purification of ARs from animal
tissues by QuEChERS methodology have been published.[31] There has been no systematic comparison of the extraction
efficiency and matrix effect of common extraction solvents and cleanup
sorbents.This study aims to use sheep blood and tissue as experimental
samples
to improve the cleanup step to effectively improve matrix effects
while maintaining ideal recoveries in the analysis of 13 ARs in sheep
whole blood, heart, liver, kidney, muscle, and stomach wall based
on a modified QuEChERS sample preparation method using high-performance
liquid chromatography-triple quadrupole/linear ion trap tandem mass
spectrometry (HPLC-QTrap-MS/MS). Purification steps based on different
extraction solvents, dehydrants, d-SPE sorbent combinations and a
step without cleanup were compared. By comparison, the extraction
and purification steps for 13 ARs in blood and various tissues of
sheep were obtained. In addition, this study minimized the matrix
effect interference by optimizing instrument parameters, using isotope
internal standards and matrix-matched calibration for AR analyses.
The developed method was successfully applied to the determination
of ARs and the forensic judgment of a case of goat poisoning in a
pasture.
Materials and Methods
Chemicals
and Reagents
Methanol and
acetonitrile (HPLC grade) were both purchased from Merck (Darmstadt,
Germany). Ethyl acetate (EtOAc, HPLC grade) and diethyl ether (Et2O, analytical grade) were both provided by Kemiou Chemical
Reagent Co. (Tianjin, China). All other chemicals were obtained at
the highest quality grade from commercial sources. Ammonium acetate
(HPLC grade) and formic acid (analytical grade, 98% purity) were supplied
by Fluka Chemical Co. (Bruchs, Switzerland). Analytical reagent-grade
hydrochloric acid, sodium hydroxide, and inorganic salts of sodium
chloride (NaCl), anhydrous sodium sulfate (Na2SO4), magnesium sulfate (MgSO4), and sodium carbonate (Na2CO3) were all obtained from Kemiou Chemical Reagent
Co. (Tianjin, China). Ultrapurified water was obtained from a Milli-Q
Advantage Elix Essential 3.5.10.15 system (Merck KGaA, Darmstadt,
Germany).The QuEChERS sorbents (1) alumina-N (Al–N,
100–200 mesh), (2) HC-C18 (40–63 mesh), (3) graphitized
carbon black (GCB, 120–400 mesh), (4) primary-secondary amine
(PSA, 40–63 mesh), (5) polystyrene-divinylbenzene (PS-DVB,
80–160 mesh), and (6) classic Florisil diatomite (100–200
mesh) were supplied by CNW (Shanghai, China) and Aladdin Reagent Co.
(Shanghai, China).
Standard and Working Solutions
The
AR standards (coumafuryl, valone, pindone, coumatetralyl, warfarin,
coumachlor, diphacinone, dicoumarol, chlorophacinone, bromadiolone,
difenacoum, flocoumafen, brodifacoum) examined in our work were purchased
from Cerilliant (Round Rock, AK, U.S.A.). Warfarin-D5 (100 μg/mL)
used as an internal standard (IS) was provided by Cato (Guangzhou,
China). The purities of the standards were >99% (w/w), and they
were
used within established reanalysis dates. Standard stock solutions
(100 μg/mL) of 13 kinds of rodenticides were prepared separately
in methanol or acetonitrile and stored in the dark at a temperature
below −20 °C for at least 6 months. Mixed standard working
solutions at a level of 1.0 μg/mL were prepared by dilution
of stock solutions in methanol. The IS working solution (1.0 μg/mL)
was prepared by dilution of warfarin-D5 (100 μg/mL) in methanol.
All of the standard working solutions were stored in the dark below
4 °C and prepared monthly when used.
Sample
Preparation
In this study,
we analyzed the extraction and detection methods of 13 ARs in sheep
whole blood, heart, liver, kidney, muscle and stomach wall. Fresh
sheep tissues/organs (heart, liver, kidney, muscle, stomach wall)
for the experiment were purchased from the Dongfa Farmers Market (Huoju
Road), Rencheng District, Jining City, Shandong Province from Jan
16 to Apr 20, 2021. Sheep whole blood was purchased from Solarbio
(Beijing, China). All biological samples were stored at −20
°C until the time of testing.All samples were extracted
and purified with a modified QuEChERS method. First, the samples were
defrosted, and 0.1 mL of blood or 0.1 g of tissue samples was accurately
placed in a 5 mL centrifuge tube. The samples were spiked with 5 μL
of IS working solution (1 μg/mL) to achieve an IS concentration
of 5 ng/mL (spiked at 5 μg/kg). Subsequently, the QuEChERS method
was used to extract and purify sheep blood/tissue samples. The specific
steps are shown in Table . After centrifugation, the supernatant was transferred into
a 5 mL glass tube, placed in a nitrogen stream at 60 °C and blown
to near dryness. The residue was redissolved in 0.1 mL of methanol
and filtered through a 0.22 μm nylon filter into an autosampler
vial for LC-MS/MS analysis.
Table 1
QuEChERS Steps for
Sheep Biological
Samples
serial number
step
blood
tissue
1
homogenization
directly homogenized using vortex
the tissue
sample was placed in a tube containing porcelain
bumping beads before adding 100 μL of 0.1% formic acid water, and homogenized with a high-efficiency
sample breaker at low temperature (4 °C)
2
add solvent
1 mL acetonitrile
0.5 mL acetonitrile + 0.5 mL EtOAc
3
pH regulation
≥9
4
extraction
cryogenic ultrasound 10 min
cryogenic ultrasound 5 min, and 1800 r/min oscillation for 5 min
5
centrifugation
centrifuged at 8000 r/min for 5 min, and transferred the supernatant
to a new 2 mL centrifuge tube containing dehydrants and d-SPE sorbents
6
dehydration
20 mg Na2SO4
20 mg Na2SO4 + 50 mg NaCl
7
purification
20 mg Florisil + 10 mg HC-C18
20 mg Florisil + 20 mg HC-C18
8
oscillation
2000 r/min for 10 min
9
centrifugation
centrifuged at 8000 r/min for 5 min, and the supernatant was transferred
to a new 5 mL glass tube
LC-MS/MS
Conditions
Chromatographic
separation was carried out on a Shimadzu HPLC system (Shimadzu Corp.,
Kyoto, Japan) with a Kinetex Biphenyl 100 Å column (100 ×
3.0 mm, 2.6 μm, Phenomenex, Torrance, CA, U.S.A.) at 35 °C.
On the basis of the findings of the optimization study, experiments
used 5 mmol/L ammonium acetate buffer mixed with eluent A and methanol
as eluent B. The gradient elution was as follows: 10% B at 0–0.5
min, 10–90% B at 0.5–9.0 min, 90% B at 9.0–12.5
min, 90–10% B at 12.5–12.6 min, and re-equilibration
at 10% B for 1.4 min. The flow rate was 0.45 mL/min, and the sample
injection volume was set at 2 μL. The total run time for one
injection is 14 min.The effluent from the HPLC system was introduced
into an API 5500 Qtrap-MS/MS (Applied Biosystems Sciex, Foster City,
CA, U.S.A.) equipped with an electrospray Turbo spray interface operating
in negative ion mode (ESI-). The detection conditions were optimized
previously to afford the highest relative intensity: an ion spray
(IS) voltage of −4500 V and a source temperature of 550 °C
were applied. The curtain gas (CUR) was 30 psi, the ion source gas
1 (GS1) was 45 psi and the ion source gas 2 (GS2) was 30 psi. To optimize
the declustering potential (DP) and collision energies (CE), a multiple
reaction monitoring (MRM) scan mode was used with a dwell time of
25 ms. Two precursor/product ion transitions for each target compound
were monitored in MRM mode, and both transitions were used for quantification
and confirmation purposes (SANCO, 2011). Masshunter workstation software
data Analyst 1.6.3 and MultiQuant 3.0.2 were used for data acquisition
and processing. Precursor ions, product ions, retention times (Rt),
and the optimum turning parameters (DP, CE) for target compounds are
shown in Table .
Table 2
MRM Parameters and Rts of 13 ARs and
IS
peak number
analytes
precursor ion (m/z)
product ion (m/z)
DP (V)
CE (eV)
Rt (min)
1
coumafuryl
297.1
161.1a
–90.000
–24.000
5.84
240.1
–90.000
–25.000
2
valone
229.0
144.9a
–90.000
–32.000
6.03
116.0
–90.000
–50.000
3
pindone
229.1
116.2a
–90.000
–45.000
6.03
172.0
–90.000
–28.000
4
coumatetralyl
291.0
140.9a
–90.000
–35.000
6.80
274.1
–90.000
–30.000
5
warfarin
307.2
160.8a
–90.000
–26.000
7.06
250.0
–90.000
–30.000
6
coumachlor
341.0
161.0a
–90.000
–28.000
7.49
283.8
–90.000
–31.000
7
diphacinone
339.1
167.1a
–90.000
–30.000
7.59
145.2
–90.000
–27.000
8
dicoumarol
335.0
160.8a
–40.000
–18.000
7.77
9
chlorophacinone
373.0
200.9a
–90.000
–30.000
8.07
145.2
–90.000
–35.000
10
bromadiolone
525.1
273.1a
–90.000
–48.000
8.84
250.0
–90.000
–48.000
11
difenacoum
443.3
135.0a
–90.000
–43.000
9.01
293.2
–90.000
–44.000
12
flocoumafen
541.3
382.300a
–90.000
–33.000
9.10
161.100
–90.000
–45.000
13
brodifacoum
523.1
80.9a
–90.000
–94.000
9.32
93.0
–90.000
–94.000
IS
warfarin-D5
312.2
161.0a
–90.000
–38.000
7.07
255.0
–90.000
–38.000
Used as the quantitative ion.
Used as the quantitative ion.
Quality Assurance/Quality Control
Quality assurance and quality control of the analytical process were
carried out using duplicates, method blanks, and matrix spikes. A
procedural blank (one laboratory blank, one control blank spiked with
IS only, and one standard-spiked matrix sample) was run before samples
to assess for potential interference and cross-contamination from
the procedure. During the injection time, the 13 target ARs were not
detected in the procedural blanks. Three duplicate samples were set
in each station, and the Rts of the target compounds in parallel samples
were within the tolerance range. The concentrations of 13 kinds of
ARs in sheep blood and tissue samples were quantitatively determined
by the isotope IS method using peak area, which was kept consistent
in parallel samples.
Statistical Analyses
Data is presented
as the mean ± standard error (SE). The differences between the
groups were analyzed by one-way analysis of variance (one-way ANOVA).
If significant (P < 0.05) differences were found
by the ANOVA test, the t test was used to determine
pairwise differences between means. All statistical analyses were
carried out using SPSS version 16.0.
Results
and Discussion
Optimization of LC–MS/MS
Condition
To effectively separate the 13 target ARs with
different structures
and molecular weights, the mobile phase parameters were first experimentally
optimized. In addition to affecting the retention time and peak shape
of the target compound, the selection of the mobile phase also influenced
the ionization of the analyte in the mass spectrum. Usually, adding
an appropriate amount of alkaline substance to the mobile phase can
increase the response value of the target in negative ion mode. Previous
studies have shown that compared to ammonia, adding ammonium acetate
to the aqueous phase (A) was more conducive to obtaining a good symmetrical
peak shape in the detection of ARs.[30] On
this basis, our study compared the difference between methanol and
acetonitrile as the organic phase and the effect of adding formic
acid (0.1%) to the mobile phase. More satisfactory sensitivity and
peak shape for the target compounds could be obtained when methanol
was used as the organic phase (especially for valone), and some compounds
showed double peaks after adding formic acid (such as brodifacoum),
as shown in Figure . Therefore, the A/5 mM ammonium acetate–B/methanol system
was selected as the mobile phase in the experiment.
Figure 1
Chromatograms of 13 ARs
using gradient elution with different mobile
phases: (A) 5 mM ammonium acetate (0.1% formic acid)-acetonitrile,
(B) 5 mM ammonium acetate-acetonitrile, (C) 5 mM ammonium acetate
(0.1% formic acid)-methanol, and (D) 5 mM ammonium acetate-methanol.
The injection concentration was 50 ng/mL.
Chromatograms of 13 ARs
using gradient elution with different mobile
phases: (A) 5 mM ammonium acetate (0.1% formic acid)-acetonitrile,
(B) 5 mM ammonium acetate-acetonitrile, (C) 5 mM ammonium acetate
(0.1% formic acid)-methanol, and (D) 5 mM ammonium acetate-methanol.
The injection concentration was 50 ng/mL.To optimize the mass spectrometric parameters of the 13 target
ARs, a single standard solution (50 ng/mL) was injected into the ESI
ion source continuously at a flow rate of 7 μL/min with a flow
syringe pump. Thirteen target compounds were analyzed by first-order
mass spectrometry to obtain precursor ions (Q1) after optimizing the
extraction voltage in ESI- detection mode. Then, the precursor ion
was analyzed by secondary mass spectrometry (product ion scan) to
obtain product ion information, and the DP and CE were optimized by
using the multireaction monitor to maximize the response signal of
the parent/product ion pairs. The optimized RT, precursor ions, and
product ions as well as used DP and CE are listed in Table . The extracted ion (quantitative)
chromatograms of blank blood spiked with the 13 ARs mixed standard
solutions at 25 ng/mL are shown in Figure .
Figure 2
Extracted ion (quantitative) chromatograms of
blank blood spiked
with the 13 ARs mixed standard solutions at 25 ng/mL.
Extracted ion (quantitative) chromatograms of
blank blood spiked
with the 13 ARs mixed standard solutions at 25 ng/mL.
Optimization of the Sample Preparation Process
On the basis of the classic pretreatment methodology QuEChERS,
this study took sheep blood and tissues as the object by optimizing
the sample pH, selecting extraction methods and solvents, and determining
the effects and dosages of different dehydrating and purifying agents
through single-factor experiments to explore the extraction and purification
effect of this method and its influence on the matrix effect. The
study established a set of rapid, low cost, and easy to use experimental
parameters with good performance characteristics suitable for a variety
of biological matrices, which provides a reference for the rapid detection
of multiple AR residues in organisms.First, to weaken the interactions
between analytes and the matrix, 0.1 mL of deionized water was added
to the grinding flask containing 0.1 g of sheep tissue sample before
extraction, and the tissue sample was thoroughly ground to ensure
adequate partitioning. Previous research on pesticide determination
methods in herbs has shown that adding an appropriate amount of distilled
water to low-moisture samples before the extraction step can help
increase the extraction efficiency,[32] and
this conclusion was also applied in this study.The selection
of an extracting solvent in the sample pretreatment
process with a proper polarity to match the analyte was beneficial
to improve recovery. The experiment compared the extraction efficiency
of 13 ARs in sheep biological samples with four different organic
solvents. One milliliter of Et2O, EtOAc, acetonitrile,
and methanol were selected in turn as solvents for 0.1 mL of spiked
blood or 0.1 g of tissue samples, and the comparison results are shown
in Figure . For blood
samples, the extraction efficiency using either Et2O or
EtOAc was significantly lower than that of the other two solvents
(P < 0.05). The average extraction efficiencies
of Et2O, EtOAc, acetonitrile and methanol for the 13 target
compounds in spiked blood were 17.65%, 28.23%, 56.47%, and 45.93%,
respectively. Therefore, acetonitrile was selected as the extraction
solvent for blood samples. However, the extractability of the four
organic solvents for the analytes in the five biological tissues was
quite different. Among them, EtOAc had a higher ability for the liver
and kidneys, and an ideal extraction effect was obtained when methanol
or acetonitrile was used to extract the heart, muscle, and stomach
wall samples. Therefore, the experiment then compared the extraction
effect of the combination of an equal volume of EtOAc and acetonitrile
or methanol and finally selected EtOAc/acetonitrile (v/v: 1:1) as
the unified extraction solvent for the five biological tissues. The
results showed that the combined effect of two solvents can generally
improve the extraction efficiency of 13 ARs in the spiked tissue samples
with a recovery rate ranging from 54.75% to 67.98% (Figure ). In a previous study, Jia
et al. studied the LC-MS/MS detection method of ARs in whole blood
samples of poisoned patients and stated that compared with Et2O, EtOAc, and acetone, when acetonitrile was used to extract
blood samples it could effectively precipitate the proteins in the
samples and reduce matrix interference.[14] This conclusion was also confirmed in the present study. In addition,
Cao et al. analyzed the screening methods of ARs in animal-derived
foods and pointed out that pigments and other impurities in foods
were easily extracted and absorbed by acetone and EtOAc, thereby enhancing
the matrix effect, which could be effectively improved by adding acetonitrile
or methanol.[11]
Figure 3
Average recoveries of
13 ARs in spiked biological samples with
different solvents (P < 0.05). * Indicates a significant
difference in observations between groups. Data is mean ± SE
(n = 3).
Average recoveries of
13 ARs in spiked biological samples with
different solvents (P < 0.05). * Indicates a significant
difference in observations between groups. Data is mean ± SE
(n = 3).Generally, relative to ionic compounds, molecular-type compounds
are easier to extract effectively, and the higher the ionization degree
of the compound is the more difficult the extraction is.[33] The pH of the solution affects the degree of
hydrolysis and ionization of the compounds in the sample, which has
a certain impact on the extraction efficiency. This study compared
the recoveries of 13 ARs under neutral, acidic and alkaline pH conditions,
and the results showed that the pH of the sample had a significant
impact on the extraction efficiency, as shown in Figure . When the sample pH was neutral,
the spiked recovery rate of most ARs was significantly lower than
that under acidic and alkaline conditions, and the average recovery
rate under strong acid–base conditions (pH ≤ 3 or pH
≥ 11) was generally lower than that under weakly acidic or
basic conditions (pH ≤ 5 or pH ≥ 9) (P < 0.05). The extraction efficiencies of coumachlor, flocoumafen,
and bromadiolone under weakly alkaline conditions (pH ≥ 9)
were slightly lower than those under weakly acidic conditions (pH
≤ 5), except the recoveries of other target compounds were
generally higher. As a class of weakly acidic compounds,[30] ARs under acidic conditions mainly exist in
their neutral molecular form, which is more conducive to organic solvent
extraction and separation. However, when the pH of the sample was
adjusted in this experiment to be acidic, the organic solution of
the sample extraction layer became more turbid, and the color changed
from light yellow to brownish red. Previous studies by Zhong et al.
have shown that when using the acetonitrile protein precipitation
method to extract pharmaceutical components from liver tissue, acidic
solvent pH could cause liver tissue to be dissolved by acid.[34] Under acidic conditions, membranes and organelles
are destroyed by acid, and a large amount of broken organelles, pigments,
proteins, and other substances flow into the matrix fluid, which makes
the matrix more complicated and it even becomes turbid, which is not
conducive to purification. Hemoglobin in the liver was also released
into the matrix after the cells were destroyed, which discolored the
extraction solvent and affected the subsequent extraction. Therefore,
the molecular form of the analyte in this study was maintained as
much as possible without damaging the cell structure of the biological
matrix, and the pH of the sample solution was adjusted to weakly alkaline
(≥9) before extraction.
Figure 4
Average recoveries of 13 ARs in spiked
samples under different
pH conditions (P < 0.05). * Indicates a significant
difference in observations between groups. Data is mean ± SE
(n = 3).
Average recoveries of 13 ARs in spiked
samples under different
pH conditions (P < 0.05). * Indicates a significant
difference in observations between groups. Data is mean ± SE
(n = 3).While the solvent can extract the target substance, it also absorbs
the moisture in the sample. The presence of water makes the analyte
partly dissolve in it and forms a competitive relationship with the
extraction solvent. Therefore, it is necessary to select suitable
dehydrants to remove water from biological samples. Studies have shown
that adding appropriate inorganic salts can precipitate a small amount
of protein in the system while absorbing water, which can not only
enhance the protein precipitation effect of the extractant but also
improve the matrix effect to a certain extent. NaCl, anhydrous Na2SO4, MgSO4, and so forth are commonly
used water absorbents, which can be used alone or in combination.
Among them, NaCl can promote phase separation and make the target
compounds undergo liquid–liquid distribution in the sample;
anhydrous Na2SO4 or MgSO4 can combine
with the water in the system to distribute and transfer the analyte
from the biological sample to the organic phase.[35,36] This study analyzed the water absorption and salting-out effects
of NaCl, anhydrous Na2CO3, Na2SO4, and MgSO4. Figure shows that when anhydrous Na2CO3 or MgSO4 was used as a dehydrant, the recoveries of the
13 target ARs in the samples were significantly lower than those of
anhydrous Na2SO4 and NaCl. Previous studies
have confirmed that although anhydrous MgSO4 absorbs water
more thoroughly, if Mg2+ fails to quickly absorb water
after addition, it will form a chelate with the target compound, thereby
increasing the difficulty of extraction.[37] Anhydrous Na2CO3 can generate NaOH after hydrolysis,
which will change the pH of the system and reduce the extraction efficiency.
In contrast, the recoveries of the analytes after adding anhydrous
Na2SO4 to spiked blood samples were significantly
higher than that of NaCl at the same dosage (P <
0.05). By comparing the extraction effects of different dosages, 20
mg of anhydrous Na2SO4 was selected as the dehydrant
for blood samples in the experiment. Meanwhile, due to the different
dehydration effects of anhydrous Na2SO4 and
NaCl on the five tissue samples, to simplify and unify the extraction
steps the experiment then compared the extraction efficiency of the
two agents in combination, and finally selected the combination of
20 mg of anhydrous Na2SO4 and 50 mg of NaCl
as the common dehydrants for the five tissue samples. Compared with
the samples analyzed without dehydration, the average recoveries of
the target compounds in the blood and tissue samples after adding
the above-mentioned inorganic salts increased by 13.02% and 16.71%,
respectively (P < 0.05).
Figure 5
Average recoveries of
13 ARs for the modified QuEChERS procedures
with and without dehydration (P < 0.05). * Indicates
a significant difference in observations between treatments and controls.
Data is mean ± SE (n = 3).
Average recoveries of
13 ARs for the modified QuEChERS procedures
with and without dehydration (P < 0.05). * Indicates
a significant difference in observations between treatments and controls.
Data is mean ± SE (n = 3).Biological samples contain a variety of complex matrices, including
carbohydrates, macromolecular proteins, lipids, natural pigments,
and sterols, which make analysis more complicated. The step without
cleanup showed that over 10% of the analytes exhibited a significant
ME (above 50%). Therefore, cleanup of the different sheep biological
extracts was needed to minimize the matrix effect.During the
experiments, it was found that various d-SPE sorbents
and their combinations had a significant influence on the purification
and recoveries of target analytes. As shown in Figure , Al–N and GCB were not suitable as
adsorbents for either sheep blood or tissue samples. The recoveries
of 13 ARs in sheep biological samples were not significantly ameliorative
or even lower than those of unpurified samples. Studies have shown
that Al–N can adsorb polar substances containing amino (−NH2) and hydroxyl (−OH) groups, such as organic acids
and alcohols.[38] As an electrophile with
Lewis acid/base properties, Al–N can inhibit the ionization
of the basic group and maintain its free state, so it has a better
purification effect on alkaline substances; in contrast, Al–N
reacts with compounds containing acidic groups (such as ARs) to form
a salt, thereby causing tailing and difficult separation.[39,40] As a kind of nonporous reversed-phase sorbent, GCB has been reported
to be a highly effective sorbent for sample cleanup and can remove
planar molecules such as natural pigments (e.g., chlorophyll, hemoglobin,
and carotenoids), sterols, and nonpolar interferences.[29,41,42] However, compounds such as ARs
with a planar structure will also be adsorbed.[43] Previous research by Rutkowska et al. showed that the use
of high amounts of GCB (>10 mg per 1 mL of acetonitrile extracts)
may lead to unacceptable losses of some planar pesticides.[44]
Figure 6
Average recoveries of 13 ARs for the modified QuEChERS
procedures
with and without cleanup (P < 0.05). * Indicates
a significant difference in observations between treatments and controls.
Data is mean ± SE (n = 3).
Average recoveries of 13 ARs for the modified QuEChERS
procedures
with and without cleanup (P < 0.05). * Indicates
a significant difference in observations between treatments and controls.
Data is mean ± SE (n = 3).In this experiment, when Florisil and HC-C18 were used as sorbents,
the matrix effect of the spiked samples was significantly improved.
Florisil is a highly polar magnesium silicate sorbent that can be
used to extract polar compounds from nonpolar solutions.[30] It can effectively remove fat and has a significant
purification effect on biological samples with high lipid content.[32] Octadecyl-like HC-C18 is the sorbent most commonly
used to remove coextractives from biological samples.[27] Its octadecyl functional group can adsorb fat and other
nonpolar interfering substances, which can be used to remove oil,
sterols, vitamins, and so forth in blood or tissues.[45] Previous studies have confirmed that compared to PSA with
a similar structure, HC-C18 has a better purification ability for
biological samples.[27]In addition,
PS-DVB was considered for use in this study. As a
new type of functional material, there is a lack of reports on the
subject of compound determination in biological samples using this
sorbent. With a main functional group of microporous polymer microspheres,
PS-DVB is reported to be able to efficiently separate drug molecules
such as natural products, antibiotics, organic compounds, peptides,
proteins, and oligonucleotides.[46] In this
study, when PS-DVB was used as a sorbent (10 mg per 0.1 mL/g sample)
for blood or tissue samples, only 30% of ARs had acceptable recoveries
(≥50%). Thus, it was not applicable to this research.To avoid the reduction of recovery and minimize additional cost
caused by excessive adsorption, the experiment subsequently compared
the purification effects of two sorbents (HC-C18 and Florisil) at
10, 20, and 50 mg (per 0.1 mL/g sample). The results showed that 10
mg or 20 mg of the two sorbents used alone can achieve acceptable
matrix removal effects on blood and tissue samples, respectively.
This advantage was replaced by excessive adsorption when the dosage
was ≥50 mg, and the recoveries of more than 34% of the target
analytes in spiked samples were less than 50%. The next experiment
involved mixing the d-SPE sorbents in combination, and the results
showed that the purification effect of the sample was better than
that of using either sorbent alone, thereby significantly improving
the matrix effect. This study confirmed that excellent results were
achieved using the 20 mg Florisil/10 mg HC-C18/20 mg Na2SO4 combination in sheep blood samples, which provided
satisfactory recoveries (63.5–104.27%) in the blood matrix
(P < 0.05). For the tissue samples, the dosage
of sorbents was slightly increased, which was a combination of 20
mg Florisil/20 mg HC-C18/20 mg Na2SO4/50 mg
NaCl. The purification efficiency of this combination brought about
an 11% improvement in recoveries for 5 tissue matrices (P < 0.05), and the recoveries of the 13 target compounds reached
between 64.16 and 110.65%.
Method Validation
The optimized analytical
method for the determination of 13 ARs in sheep blood and tissue samples
using HPLC-MS/MS was evaluated according to Peters et al., Matuszewski
et al., and Meng et al.[47−49] A series of parameters, including
selectivity, linearity, limit of detection (LOD), limit of quantification
(LOQ), accuracy, precision, recovery, matrix effect, stability, and
carryover, were performed to validate the modified QuEChERS method
under optimized conditions.To evaluate the selectivity of the
method, the interference effects of complex components in biological
samples such as the matrix, metabolites, impurities, and so forth
on target compounds were investigated. The selectivity of the method
was tested in 10 different blank samples by purchasing sheep blood
products of different batch numbers and collecting different healthy
sheep tissues to analyze whether the endogenous substances in the
whole blood or tissues interfered with the detection of the target
compounds. Results showed that there were no compounds determined
in the selectivity experiment.For the biological samples with
complex matrices, calibration curves
were obtained from matrix-matching calibration solutions to assess
the linearity of the method. The linearity was studied in the range
of 1–100 ng/mL (g) with seven calibration points (1, 2, 5,
10, 20, 50, and 100 ng/mL (g)), performing three replicates at each
level. The calibration curves were derived by plotting the peak areas
of analytes to IS versus the spiked concentration using a 1/x weighted linear least-squares regression model. The results
of the calibration curves are shown in Supporting Information, Table S1. A good linearity coefficient of determination
(R2) value was obtained for each target
compound in this study, ranging from 0.99 to 0.9999.The LOQ
was regarded as the lowest spiking level or detectable
concentration of the analyte that could be quantified with acceptable
accuracy and precision. The LOD was defined as the lowest concentration
of the analyte that could only be detected but was unable to be quantified
accurately. Both are important validation parameters and were used
to evaluate the sensitivity of the analytical methods. In this study,
the minimal values with signal-to-noise ratios of 3 (S/N ≥ 3) and 10 (S/N ≥ 10) in spiked samples were determined as the
LOD and LOQ, respectively. Furthermore, an accuracy and precision
within ±20% was required for the LOQ. The data are shown in Table , and the values were
low enough to sensitively determine the concentrations of the 13 target
ARs in animal blood or tissue samples.
Table 3
LOD and
LOQ Obtained from Blank Sheep
Blood and Tissues Spiked with 13 ARs
compound
LOD (S/N ≥ 3) (ng/mL (g))
LOQ (S/N ≥ 10) (ng/mL (g))
coumafuryl
0.1
0.2
valone
0.5
1
pindone
0.5
1
coumatetralyl
0.1
0.2
warfarin
0.1
0.2
coumachlor
0.1
0.2
diphacinone
0.2
0.5
dicoumarol
0.1
0.2
chlorophacinone
0.1
0.2
bromadiolone
0.1
0.2
difenacoum
0.1
0.2
flocoumafen
0.05
0.1
brodifacoum
0.5
1
The accuracy and precision of the method were evaluated
at three
concentrations (5, 20, 80 ng/mL (g)) in spiked samples within the
linear range. Each level was replicated six times. The accuracy was
defined as the percent deviation between the mean calculated value
and the corresponding spiked concentration, and the precision was
expressed by the relative standard deviation (RSD%) during the same
day (intraday precision) and for three consecutive days (interday
precision). The criteria of accuracy should be in the range of 85%
to 115% (80–120% near the LOQ), and precision should be within
15% RSD (20% near the LOQ). In this study, parallel sample results
obtained for the 13 target ARs indicated good method accuracy and
overall precision, ranging from 88.28 to 114.21% and 0.29–14.85%,
respectively, as shown in Supporting Information, Tables S2 and S3.Extraction recovery (ER) and matrix effect
(ME) experiments were
also performed in six blank spiked samples at three levels (5, 20,
80 ng/mL (g)). Each level was replicated five times. By comparing
the difference in the instrument response value of each analyte between
the spiked samples, the standard in the matrix solution, and the standard
in methanol at the same concentrations, the ER and ME of different
types of samples were validated. Their formulas are as followswhere set 1 is the concentration of each analyte
in extracted blank blood/tissue samples spiked with the compounds
and treated as described in Section ; set 2 is estimated by the extracted blank
blood/tissue samples treated as described in Section and then spiked with the same amounts
of rodenticides and IS when reconstituting the dry residues; and set
3 is the standard working solution diluted by methanol to the designated
concentration.In this study, ERs obtained for 13 ARs were satisfactory
and ranged
from 52.78 to 110.69% (Supporting Information, Table S4). The average ERs of the target analytes in the six biological
spiked samples (blood, heart, liver, kidney, muscle, and stomach wall)
were 81.22%, 68.66%, 76.83%, 80.12%, 86.50%, and 79.00%, respectively,
which all met the method verification requirements (≥50%).Studies have shown that the matrix effect has become a very serious
and common phenomenon in LC-MS/MS analysis, affected by sample type,
chromatographic separation, the mobile phase, ionization and other
factors. In this study, six biological samples showed different degrees
of matrix enhancement or inhibition effects. During the chromatographic
analysis of pesticide residues, Hajšlová et al. stated
that coextracted matrix components can compete with target analytes
for access to the active site during the injection process, which
may result in enhancement of the detector’s signal. Meanwhile,
(semi)polar or thermal-sensitive analytes may decompose at active
sites in the liners, column, and detector, giving losses and distorted
peak shapes, which may result in suppression of the chromatographic
signal. Previous studies by Cao et al. showed that matrix effects
can severely compromise qualitative and quantitative analysis of the
target compounds at trace levels as well as method reproducibility,
especially when electrospray ionization is used.[11] In this study, the analysis without cleanup showed that
more than 50% of the analytes had MEs higher than 20%, and nearly
10% exhibited significant MEs (≥50%), as shown in Figure . The average ME
of blood samples was the lowest, and the heart and stomach wall were
more severe. This was not only related to the complex matrix composition
but also involved the group structure, polarity, and molecular mass
of the target compounds. Research by Rutkowska et al. showed that
compounds with amino (−R–NH−), azole (−N=),
benzimidazole, carbamate (−O–CO–NH−),
carboxyl (−COOH), hydroxyl (−OH), imidazole, and urea
(−NH–CO–NH−) groups are most susceptible
to matrix effects.[36] In addition, compounds
with high polarity and high molecular mass (over 400 g/mol), such
as bromadiolone and difenacoum, were also susceptible to ME. Therefore,
to reduce the influence of complex matrices and obtain more reliable
results, in addition to optimizing the instrument parameters and using
a matrix-matched internal standard calibration curve for quantification,
QuEChERS technology was used in this work to systematically optimize
the sample pretreatment steps to minimize the interference of matrix
components on the analyte ion detection process. Excellent results
were achieved using the Florisil/HC-C18/anhydrous Na2SO4 (NaCl) combination, which brought an approximately 47% improvement
in ME for six biological matrices, and over 90% exhibited acceptable
soft ME (≤20%) (Supporting Information, Table S5).
Figure 7
Matrix effects of the 13 target ARs for the modified QuEChERS
procedures:
(A) extraction using organic solvents only; (B) extraction after the
optimized method (pH adjusted, dehydrating and purifying agents added).
Matrix effects of the 13 target ARs for the modified QuEChERS
procedures:
(A) extraction using organic solvents only; (B) extraction after the
optimized method (pH adjusted, dehydrating and purifying agents added).Examining stability is also necessary for the effectiveness
of
the entire method. This study first verified the freeze/thaw stability
of 13 ARs through three spiked points (5, 20, 80 ng/mL (g)) at low,
medium, and high concentrations. Following an initial freezing period
of 24 h (−20 °C), the samples were thawed for 12 h (to
25 °C). The period was performed for three freeze–thaw
cycles before preparation. When comparing the repeated freeze–thaw
samples with the control samples analyzed immediately, the analyte
peaks and the average measured concentration of the processed samples
were unchanged by these test conditions. Additionally, other stability
experiments (room-temperature stability, long-term stability and autosampler
stability) were also verified in turn. By comparing the measured concentration
of the spiked samples stored at room temperature (25 °C) for
24 h or −20 °C for 1 month with the average value of the
quality control samples analyzed immediately after preparation, the
results of room temperature stability and long-term stability were
obtained. The autosampler stability experiment analyzed the changes
of samples after pretreatment and storage in the autosampler for 24
h. The results showed that all of the compounds were stable in the
various matrices assayed under three different experimental conditions,
and there were no significant differences when comparing values obtained
from the samples with those of control samples. In all tests, the
absolute %RSD values were less than 15% (method requirement was within
±20%).Carryover was assessed by placing one control blank
(without analyte
and I.S) immediately after every maximum concentration sample (80
ng/mL (mg)) in each accuracy and precision run. It was considered
acceptable if the carryover blank had analyte peaks that were <20.0%
of the lowest peak area of LOQ and had IS peaks that were <5.00%
of the mean peak area of IS in the run. In this study, the target
compounds and IS residues in the blank sample met the requirements
of the method at the corresponding retention time. By calculating
the peak area of the compounds in the blank sample at the corresponding
retention time, the average peak area of 13 ARs in the blank sample
was less than 15% LOQ, and the residual IS was less than 3%.To the best of our knowledge, this is the frst study that uses
a QuEChERS method for the analysis of 13 kinds of ARs in various biological
materials. The method is easy and fast to implement in a forensic
or food analysis laboratory. The main advantages over most published
methods are the extensive practical values with 13 common ARs that
are widely used and its application in six biological matrices. Compared
with the previous QuEChERs method used in the field of pesticide residue
detection, this modified protocol reduced the sample size, thereby
saving the consumption of extraction reagents and sorbents.[27,32] Furthermore, while simplifying the experimental steps, accuracy,
precision and matrix purification capacity obtained was comparable
or better than those methods that used liquid–liquid extraction
(LLE) or solid-phase extraction (SPE).[24,50] Next, the
application and verification of this method in actual poisoning cases
can be used as research content of important scientific merit in future
work.
Method Application
Our laboratory received samples
from a public security bureau in Genhe City, Inner Mongolia, where
a farmer in its jurisdiction reported that several goats died on their
ranch. The dead goats had bleeding from the nose and mouth, and it
was suspected of being poisoned. After processing and analysis by
the above method established in this study, warfarin and bromadiolone
were detected in the heart blood and stomach wall of the three goats
submitted for inspection, and the detected contents were all >1
ng/mL
(g). At the same time, sampling and testing of soil samples from mountain
slopes and herdsmen’s residences were carried out. It was confirmed
that bromadiolone was detected on the mountain slopes within the range
of goats’ activities, and warfarin was extracted from the sheepfold
at the herder’s home. As a type of rodenticide with low acute
toxicity, the single oral LD50 of warfarin and bromadiolone
in rats is 3.0 and 1.1 mg/kg, respectively. In animal poisoning cases
involving such drugs, multiple administrations are often required
to exert their efficacy, which can also be enhanced by combined use.
In this case, although warfarin and bromadiolone in the heart blood
and stomach wall of the dead goats did not reach the rat’s
single oral LD50, it was inferred that they may have ingested
the two drugs for multiple days during grazing and accumulated poisoning.
In summary, combining the symptoms of the dead animals and determination
results, it was concluded that the three goats submitted in this case
died from ingesting the ARs warfarin and bromadiolone.
Conclusions
A multiresidue analysis method based on a modified QuEChERS pretreatment
methodology for the simultaneous screening and detection of 13 ARs
in biological samples (sheep whole blood, heart, liver, kidney, muscle,
stomach wall) was demonstrated, and the matrix effect of the detection
method was evaluated and compensated. In this work, a tandem mass
spectrometry library was established for the 13 target compounds,
and simulataneous qualitative and quantitative analysis was carried
out using MRM-EPI scan mode. The mobile phase and mass spectrometric
parameters were optimized first, and the isotope IS and matrix matching
standard curve were applied to this method to effectively compensate
for the interference of matrix effects on the quantitative results.
The study discussed the impact of pretreatment parameters, such as
sample pH and type of extraction solvent and cleanup sorbent, on recoveries
and matrix effects, with the aim of choosing suitable methods for
multiresidue analyses. Finally, the modified QuEChERS method based
on acetonitrile (or acetonitrile: EtOAc = 1:1/(v:v)) extraction followed
by Florisil/HC-C18/anhydrous Na2SO4 (NaCl) cleanup
under alkalescence conditions was validated in terms of selectivity,
linearity, LOD, LOQ, accuracy, precision, ER, ME, stability, and carryover.
The correlation coefficients of the 13 target ARs in spiked biological
matrices were between 0.9900–0.9999 in the range of 1–100
ng/mL (g), and the LODs were less than 0.05–0.5 ng/mL (g).
The ERs of the target compounds were between 52.78 and 110.69%, and
the RSDs were consistently <12.8%. It is worth noting that this
method ensured an ideal ME. Over 46% of the obvious matrix enhancement
or suppression effects (ME ≥ 20%) of the target compounds were
effectively improved. The developed method meets the requirements
of international guidelines with the advantages of being robust, inexpensive,
and straightforward, and it is convenient for practical application.
It has been successfully applied to a series of livestock death cases
caused by suspected AR poisoning, and its application can be useful
to improve the detection capabilities of dealing with rodenticide
poisoning cases for forensic authentication and biosafety assessment.
Authors: Alma M Hernández; José Bernal; José L Bernal; María T Martín; Constantino Caminero; María J Nozal Journal: J Chromatogr B Analyt Technol Biomed Life Sci Date: 2013-03-04 Impact factor: 3.205