In situ Single-Pass Perfused Rabbit Intestinal Study sample Analysis of Ractopamine by UPLC

 

Fathima Namzi1, Kathirvel S2, Raja Rajeswari K3

1National College of Pharmacy, KMCT Group of Institutions, Manassery, Kozhikode - 673602, Kerala, India.

2National College of Pharmacy, KMCT Group of Institutions, Manassery, Kozhikode - 673602, Kerala, India.

3Department of Pharmaceutical Analysis, Sri Sivani College of Pharmacy, Srikakulam - 532402,

Andhra Pradesh, India.

*Corresponding Author E-mail: amithafizman@gmail.com, kathirvel2007@gmail.com, drrajarajeswarikatta@gmail.com

 

ABSTRACT:

In recent years, the prediction of oral drug absorption in humans has been a challenge for researchers and many techniques for permeability studies have been developed for several purposes, including biowaiver processes. The Single-Pass Intestinal Perfusion (SPIP) method performed in rats can provide permeability results closest to in vivo condition. he use of SPIP in rats and calculations for absorption prediction in humans may indicate the transport mechanisms and/or pre-systemic metabolism involved on permeation processes of drugs, since this model is the closest to in vivo conditions. Ractopamine hydrochloride is a commercial beta-adrenergic agonist commonly used as a dietary supplement in cattle production for improved feed efficiency and growth promotion. Currently, regulatory target tissues (as approved in the New Animal Drug Application with Food and Drug Administration) for ractopamine residue testing are muscle and liver. The aim of the study is to develop and validate an UPLC assay method to determine whether detectable and quantifiable levels of perfused ractopamine in small intestine of cattle or not. The separation is carried on Acquity UPLC BEH C18 (150mm x 2.1mm, 1.7 µm) reversed phase column using acetonitrile and 0.01M ammonium formate as the mobile phase in gradient mode at flow rate of 0.5mL/min. The precision, accuracy, extraction recovery, matrix effect, and stability meet the requirements of the guiding principles. In order to verify the sensitivity and selectivity of the method in a real-time situation, the developed method is successfully applied to a perfusion study in small intestine of rabbit and the samples were analyzed by Empower software.

 

KEYWORDS: UPLC, Ractopamine, Perfusion, Small Intestine, Validation.

 

 


1. INTRODUCTION:

Ractopamine hydrochloride (Figure-1) is a phenol-based TAAR1 agonist and β adrenoreceptor agonist that stimulates β1 and β2 adrenergic receptors1. When used as a food additive, ractopamine added to feed can be distributed by the blood to the muscle tissues, where it serves as a full agonist to murine (mouse or rat) TAAR1, a receptor protein (not necessarily in humans).

 

Figure 1: Chemical structure of Ractopamine

 

In 2000, use of ractopamine for the purpose of increasing weight gain, carcass leanness, and promoting better feed efficiency in swine was approved by the USFDA2. Since then, it has been used in livestock production in over 20 countries, but concerns remain regarding potential human health risks. ractopamine increase protein synthesis while decreasing degradation of protein and production of fat3. Ractopamine is an animal feed additive that is known to produce lean muscle and less fat in turkey, pork and cattle meat. It is a safe additive for human consumption if used according to the label and approved guidelines in a number of countries like the USA, South Korea and Japan. When used excessively, it causes adverse effects to animals like broken limbs, hyperactivity and trembling. Before any medication or feed supplement that is given to animals is determined safe, the FDA recommends several tests on humans and animals to see how they react to the drug. Several studies have been done over the years and found that ractopamine is safe and effective when administered at 4.5-9grams per ton of feed in the last three to four weeks to slaughter. When this drug is strictly used according to FDA’s guidelines, ractopamine analysis in tissues of slaughtered animals falls below the set limits of 50 ppb in the liver and 15 ppb in meat. The acceptable concentration, together with the amount of meat consumed in a day, is useful in calculating the acceptable daily intake (ADI). ADI is the total drug amount a person can take in a single day (24 hours) without side effects and health risks. Commercial ractopamine is a mixture of all four possible stereoisomers. It is also a positional isomer of dobutamine, a related drug. The RR-isomer of ractopamine is considered to be a full agonist at the beta2-adrenoceptor and a partial agonist at the beta-adrenoceptor. In cattle and swine tissue, it was found in 2007 that a procedure for the analysis of ractopamine residues in liver or muscle can be performed by high performance liquid chromatography (HPLC) with fluorescence detection4. Till date very few methods are published for ractopamine using immunosorbent assays5 and LC-MS methods6-10. As of today, no method has been reported for the perfusion study of Ractopamine by UPLC. The objective of the current research is to develop a rapid, reliable, sensitive and simple ultra-performance liquid chromatography method for the quantification of Ractopamine in perfusion study samples conducted in jejunum of rabbits and also to validate the method as per the Veterinary International Conference on Harmonization (VICH) guideline for analytical methods to be used in residue depletion studies and USFDA Guidelines. After complete validation, the method was applied to analyze sample analysis in rabbits by SPIP study.

 

2. EXPERIMENTAL:

2.1Instrumentation and Chromatographic Conditions:

UPLC–UV Analysis:

The LC system consisted of a Waters Acquity UPLC with Empower software equipped with a photodiode array detector. A Acquity UPLC BEH RP C18 column (2.1mm × 150mm, 1.7μm particle size) from Waters was used as stationary phase and temperature maintained at 20°C. The mobile phase consisted of Acetonitrile (A) and 0.01M ammonium formate (B) in gradient mode pumped at a flow rate of 1.0mL/min. Gradient program started initially with 95% ammonium formate. 1.1–2 min: 50% A, 50% B; 2.1-3 min: 95%A, 5% B; 3.1-4 min: 95%A, 5% B; 4.1–4.5 min: 5% A, 95% B; 4.6–5 min: 5% A, 95% B. Analysis was performed for 5 min at the detection wavelength of 220nm and the injection volume was 10µL. The autosampler maintained at 4°C.

 

2.2 Chemicals:

Ractopamine and internal standard (Imipramine) are purchased from Sigma–Aldrich Trading Co., Ltd. (Shanghai, China). Acetonitrile and methanol of HPLC grade and all other chemicals were obtained from Merck (Mumbai, India). Ammonium formate and all other chemicals (GR grade) were purchased from Merck Chemicals Ltd., Mumbai. Water used in the entire analysis was prepared from Milli-Q water purification system from Millipore (Milford, MA, USA).

 

2.3 Preparation of Perfusion buffer:

0.35gKCl, 1.37g NaHCO3, 7.8g NaCl, 0.22g NaH2PO4, 0.02g MgCl2, and glucose 1.48g dissolved in 1000mL purified water, pH of this solution obtained as 6.5.

 

2.4 Preparation of Calibrators and QC Samples

A standard stock solution of Ractopamine was prepared by dissolving standard 50mg of Ractopamine into 50ml volumetric flask, to this added 30ml of methanol and sonicated for 10 minutes at a temperature not exceeding 20°C. Allowed the solution to attain room temperature and then diluted to the volume with methanol to have a solution with a concentration of 1000µg/mL. Calibration standard and quality control (QC) samples were prepared by diluting corresponding working solutions with methanol: water (50:50). A volume of 10mL of appropriate diluted stock solution at different concentrations and 10mL of IS at a fixed concentration were spiked into 200µL of perfusion buffer to yield final concentrations of calibration samples 50, 100, 200, 300, 400, 500, 800 and 1000ng/mL. The final concentration of IS was 100ng/mL. Similarly, QC samples were prepared at four concentration levels LLOQ (50ng/mL), LQC (200ng/mL) MQC (500ng/mL) and HQC(800 ng/mL).

 

2.5 Sample preparation:

Perfusion samples were collected at certain time points, centrifuged at 5000rpm for 10 minutes. The supernatant layer was separated and filtered through 0.45µm syringe filters and 10µL of the solution was injected for UPLC analysis.

 

2.6 Analytical Validation:

The method is going to be validated interms of specificity, linearity, accuracy and precision. The intra and inter-day precision and accuracy, stability and extraction recovery of analyte need to be determined. The proposed method has resulted no matrix effect with respect to intestinal fluids. The developed bioanalytical method has been validated according to Guidance for Industry11,12, ICH13 and VICH guidelines14. In order to verify the sensitivity and selectivity of the method in a real-time situation, the developed method is successfully applied to a perfusion study in rabbit small intestine.

 

Assay Specificity and Selectivity:

Specificity was assessed by verifying the absence of significant interference in the biological control medium with regard to the retention time of the compound (s) to be assayed. The specificity of the method was confirmed by comparing chromatograms of blank matrix, spiked matrix with analyte at LOQ concentration. No interfering endogenous peaks were observed around the retention time.

 

Linearity:

A calibration curve was prepared within the range of 50 to 1000ng/mL Ractopamine in each run. Half of the calibration samples were analyzed at the beginning of the run and half at the end. The simplest calibration model and weighting procedure were used. The calculations of the curve’s parameters were based on the ratio of the peak areas of Ractopamine/IS versus the concentration of Ractopamine. Ractopamine concentrations for samples were calculated from the curve’s equation obtained by means of linear regression.

 

Accuracy of back-calculated calibration samples should be within±15% of the corresponding nominal concentration, except at the lowest concentration level, where the accuracy should be within ±20%. Per calibration curve, a maximum of 33% of the calibration samples, except the LLOQ and upper limit of quantification (ULOQ, 800ng/mL), may differ from these specifications. At least 6 concentration levels were represented in each curve.

 

Matrix Effect, Extraction Recovery, and Process Efficiency:

The influence of the matrix on the quantification of Ractopamine was monitored using a comparison of: (1) the instrument response for the low, medium, and high QCs (n = 4 per level) injected directly in mobile phase (neat solutions), (2) the same amount of analyte added to extracted blank samples (post extraction spiked samples), and (3) the same amount of analyte added to the biological matrix before extraction (pre extraction spiked samples). Total process efficiency was calculated from the ratio of mean peak areas of Ractopamine in extracted validation samples versus neat unextracted samples. This term accounts for any loss in signal attributable to the extraction process or matrix effect. Extraction recovery was calculated from the ratio of mean peak areas of Ractopamine in extracted validation samples versus blank samples spiked after extraction. The absolute matrix effect was calculated from the ratio of mean peak areas of Ractopamine in blank samples spiked after extraction versus neat unextracted samples. If the ratio was 85% or 115%, an exogenous matrix effect was inferred.

 

Matrix Variability:

To confirm that the biological matrix would not interfere with the assay, the selectivity of the developed method was tested by analyzing 6 different lots of blank buffer samples spiked with IS at the LLOQ level (n = 3 per lot), and blank buffer samples with no IS (n = 3 per lot) against a calibration curve. The results for the LLOQ samples were considered acceptable if the precision from each matrix lot was ±20% and the accuracy was within the range of 80%–120%. The acceptance criterion for the analysis of the blank samples from the 6 individual lots was based on the raw peak areas found at the retention times of Ractopamine and IS. No more than 10% of the blank samples could have peak areas greater than 20% of the average peak area of Ractopamine in the LLOQ QCs.

 

Stability studies:

Stability evaluations were performed in both aqueous and matrix-based samples. Stability evaluations in matrix were performed against freshly spiked calibration standards using freshly prepared quality control samples (comparison samples). Ractopamine stability in perfusion buffer was evaluated by performing bench top stability, long-term stability, short term stability and freeze-thaw stability. The processed samples were studied for stability in auto sampler at 10°C. Stability evaluated at both low and high QC level by comparing the mean response ratio of stability samples against the comparison samples.

 

3. RESULTS AND DISCUSSION:

3.1 Chromatographic and detection parameters:

Optimal chromatographic conditions were obtained after running different mobile phases with a reversed-phase C18 column. The different columns tried were Symmetry C18, Luna C18 and Zorbax C18. The best results were observed with the Acquity UPLC BEH C18 column (2.1mm × 150mm, 1.7μm particle size) using acetonitrile (A) and 0.01M ammonium formate (B) (gradient mode) as mobile phase. Variation of the column temperature between 20 and 30°C did not cause significant change in the resolution, however changes in retention time were observed. The column was used at 20°C at a flow rate of 1.0mL/min. The method allowed the separation of analyte with IS in 5min (Figure 2) runtime.

 

Figure 2: LOQ chromatogram showing the separation of the analyte from IS

 

Table 1: Linearity data of Ractopamine

Concn (ng/mL)

Peak Area

50

1205

100

2425

200

4652

400

9142

500

10977

600

12785

800

16069

1000

21005

 

 

3.2 Specificity, Linearity, Accuracy and Precision:

The specificity of method was confirmed by comparing chromatograms of blank matrix, spiked matrix with analyte at LOQ concentration. No interfering endogenous peaks were observed around their retention times. The eight point calibration curve for the analyte showed a linear correlation between concentration and peak area. Calibration data (Table 1) indicated the linearity (r2>0.99) of the detector response for all standard solutions from 50 to 1000ng/mL (Figure-3). The limit of detection by UPLC was found to be 20 ng/mL and LOQ was found to be 50ng/mL. All standards and samples were injected in triplicate. Multiple injections showed that the results are highly reproducible and showed low standard error. A recovery experiment was performed to confirm the accuracy of the method. Blank intestinal fluid (perfusion buffer) was spiked with Low QC, Mid QC and High QC levels of the standard stock solution and then extracted and analyzed under optimized conditions. The extraction recoveries of all samples from perfusion were in the range of 92.7-110.7% with relative standard deviations less than 10.0%, which indicates the sample preparation technique is suitable for extracting. The recovery results are displayed in Table 2. Intra- and inter-day precision of the method was determined by analyzing QC samples on two consecutive days and the obtained intra-day accuracies were in the range of 92.0–107.1% and inter-day accuracies were in the range of 95.7–109.8%. The results are displayed in Table 3 and Table 4. To investigate carry-over from one sample to the other in the autosampler, each validation run containing a calibration curve included a blank sample analyzed directly after the sample at the ULOQ calibration level. The response of interfering peak (s) in the blank sample should not exceed 20% of the response of the component peak at the LLOQ calibration sample concentration. To demonstrate that the method is suitable for perfusion sample with test compound concentration higher than the ULOQ, the dilution integrity was assessed using validation samples spiked with the test compound at 2-, 4-, and 10-fold the concentration of the high QC. The dilution test was performed by increasing the concentration of IS by the appropriate dilution factor.

 

Figure 3: Linearity curve of Ractopamine for Calibration standards


 

Table 2: Recovery Results of Ractopamine

 

LLOQ QC-50 ng/mL

LOW QC-200 ng/mL

MID QC-400 ng/mL

HIGH QC-800 ng/mL

Recovery

Concn found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

55.496

110.659

203.965

101.938

512.305

102.340

814.627

101.462

55.473

110.615

188.379

94.148

514.237

102.726

800.305

99.679

55.771

92.719

206.166

103.038

510.745

102.028

808.002

100.637

55.193

110.055

197.514

98.714

514.368

102.752

826.329

102.920

55.020

109.710

214.016

106.961

500.450

99.971

790.015

98.397

49.231

98.167

193.846

96.880

513.470

102.572

833.311

103.790

N

6

6

6

6

6

6

6

6

Mean

54.364

105.321

200.648

100.280

510.929

102.065

812.098

101.148

SD

2.528

 

9.239

 

5.310

 

16.140

 

CV (%)

4.650

 

4.604

 

1.039

 

1.987

 

 

Table 3: Intra-day Precision & Accuracy Results

Ractopamine

Batch ID

LLOQ QC

LOW QC

MID QC

HIGH QC

50 ng/mL

200 ng/mL

500 ng/mL

800 ng/mL

Concn. found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

Intra-day

51.739

103.478

208.290

103.916

519.490

103.775

800.305

100.038

52.229

104.458

202.519

101.037

515.513

102.980

809.002

101.125

46.000

92.000

206.242

102.894

512.271

102.333

783.556

97.945

49.057

98.114

186.433

93.012

533.801

106.634

807.985

100.998

51.744

103.488

209.008

104.274

536.056

107.084

760.929

95.116

53.060

106.120

198.224

98.894

523.831

104.642

767.894

95.987

N

6

6

6

6

6

6

6

6

Mean

50.638

101.276

201.786

100.671

523.494

104.575

788.278

98.535

SD

2.640

8.524

9.694

20.728

CV (%)

5.213

4.224

1.852

2.630

 

 

Table 4: Inter-day Precision & Accuracy Results

Ractopamine

Batch ID

LLOQ QC

 LOW QC

MID QC

HIGH QC

50 ng/mL

200 ng/mL

500 ng/mL

800 ng/mL

Concn found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

Concn found

% Recovery

Inter-day

55.088

109.846

198.807

99.381

511.919

102.263

784.562

98.070

52.829

105.342

199.263

99.610

513.445

102.567

767.334

95.917

53.646

106.971

187.562

93.760

497.055

99.293

858.067

107.258

48.010

95.733

209.392

104.673

527.146

105.304

785.684

98.211

51.069

101.833

208.955

104.455

503.486

100.578

804.812

100.602

53.720

107.119

189.763

94.861

493.993

98.681

790.307

98.788

N

6

6

6

6

6

6

6

6

Mean

52.394

104.474

198.957

99.457

507.841

101.448

798.461

99.808

SD

2.722

 

8.971

 

11.376

 

35.019

 

CV (%)

5.195

 

4.509

 

2.240

 

4.386

 

 

 

Table 5: Long term stability study Results (n-6) after 90 days

Long term stability after 90 days

 

Ractopamine

 

0 Hr-Low QC

0 Hr-HQC

Day-90-LQC

Day-90-HQC

 

189.568

808.998

194.984

815.501

 

211.278

804.206

201.102

807.602

 

208.045

808.019

208.896

815.116

 

192.526

775.501

217.845

785.216

 

194.040

807.602

200.151

800.000

 

188.698

882.994

198.880

785.213

N

 

6

6

6

6

Mean

 

197.359

814.553

203.643

801.441

SD

 

9.778

35.884

8.314

13.794

CV(%)

 

4.954

4.405

4.083

1.721

% Change

 

n/a

n/a

3.184

-1.610

 

 


After extraction, the dry extract was taken up with a volume of injection solvent also multiplied by the same factor. Accuracy of the calculated concentrations within the range of 85%–115% of the nominal values would suggest that samples containing Ractopamine at a higher concentration than the ULOQ can be diluted using the above tested dilution method.

 

Stability evaluations were performed in both aqueous and matrix-based samples. The stock solutions were stable for a period of 24 h at room temperature and for 90 days at 1–10°C. Stability evaluations in matrix were performed against freshly spiked calibration standards using freshly prepared quality control samples (comparison samples). The processed samples were stable up to 36 h in auto sampler at 10°C. The long-term matrix stability was evaluated at −20°C over a period of 90 days. No significant degradation of analytes was observed over the stability duration and conditions. The long-term stability results presented in Table 5 were within 85–115%. Stability in intestinal fluid was evaluated at both low and high QC level by comparing the mean response ratio of stability samples against the comparison samples. The short-term stability of analyte at room temperature was within 85–115% upto 24 h. The stability results presented in Table 6 and Table 7.


Table 6: Short term stability study Results (n-6)

Short term stability

Ractopamine

0 Hour

4 Hour

24 Hour

Low QC

HQC

Low QC

HQC

Low QC

HQC

202.918

785.624

222.019

799.600

199.989

801.252

210.980

788.147

207.501

800.000

194.699

816.186

194.206

812.521

197.602

802.531

208.018

795.414

220.145

800.852

199.967

784.120

192.244

803.732

196.069

798.632

195.936

792.510

179.495

870.610

192.971

805.258

211.976

797.241

192.296

889.362

N

6

6

6

6

6

6

Mean

202.881

798.506

205.834

796.000

194.457

829.426

SD

10.803

10.206

10.026

6.730

9.466

40.186

CV (%)

5.325

1.278

4.871

0.845

4.868

4.845

% Change

n/a

-1.913

1.299

 

 


Ractopamine was stable upto 10 h on bench top at room temperature and over 4 freeze–thaw cycles. In mouse blood, the freeze-thaw study was carried out and the results are presented in Table 8. The variability of the matrix effect in intestinal fluid has resulted a very minute changes in the recovery of middle concentration of calibration curve. The results of Matrix effect area presented in Table 9.

 

Table 7: Freeze thaw stability (after IV cycle) study Results (n-6) conducted below -20°C

Freeze Thaw Cycle-IV below -20°C

LOW QC

HIGH QC

200 ng/mL

800 ng/mL

Conc found

% Recovery

Conc found

% Recovery

207.441

103.721

785.241

98.155

209.630

104.815

809.854

101.232

192.511

96.256

791.214

98.902

189.581

94.791

790.521

98.815

209.589

104.794

777.524

97.191

208.586

104.293

786.213

98.277

N

6

6

6

6

Mean

202.890

101.445

790.095

98.762

SD

9.255

 

10.849

 

CV (%)

4.562

 

1.373

 

 

 

 

Table 8: Freeze thaw stability (after IV cycle) study Results (n-6) conducted below -50°C

Freeze Thaw Cycle-IV below -50°C

LOW QC

HIGH QC

200 ng/mL

800 ng/mL

Conc found

% Recovery

Conc found

% Recovery

191.522

95.761

788.521

98.565

208.587

104.294

802.147

100.268

191.696

95.848

814.214

101.777

192.214

96.107

799.654

99.957

190.253

95.126

787.123

98.390

210.584

105.292

778.214

97.277

N

6

6

6

6

Mean

197.476

98.738

794.979

99.372

SD

9.423

 

12.866

 

CV (%)

4.772

 

1.618

 

 

Table 9: Matrix effect Results

Intestinal fluid No.

Ractopamine 500 ng/mL

Neat standard sample Concentration

Extracted blank plus spiked sample peak concentration

Unit No.: 1

11817

11048

Unit No.: 2

10814

10450

Unit No.:3

11891

10650

Unit No.: 4

10908

9862

Unit No.: 5

10779

9997

Unit No.: 6

10832

9627

N

6

6

Mean

11173.500

10272.333

SD

529.317

536.002

CV (%)

4.737

5.218

Matrix effect (%)

0.919

 

 

Table. 10: Concentration of Ractopamine found in rabbit intestine (n=6)

S. No.

Concentration (ng/ml)

Rabbit-1

0.027427859

Rabbit -2

0.0198284

Rabbit -3

0.025704077

Rabbit -4

0.018782709

Rabbit -5

0.021004077

Rabbit -6

0.019123292

Avg

0.021978402

S.D

0.003674593

CV

16.71910849

 

 

3.3 Application of the method to pharmacokinetic study in Mice:

Rabbits (1200g±0.50) were anesthetized with an intra-muscular injection of 1mL/kg of ketamine–xylazine solution (9:1 respectively), placed on a heated surface maintained at 37°C (Harvard Apparatus Inc., Holliston, MA), and a 3cm midline abdominal incision was made. Approximal 10cm jejuna segment, starting 2cm below the ligament of Treitz, was cannulated on two ends, and was rinsed with blank perfusion buffer. All solutions were incubated in a 37°C water bath. At the starting point of each experiment, perfusion solution containing the investigated drug, 10mM perfusion buffer, pH 6.5, 135mM NaCl, 5mM KCl, and 0.01mg/mL phenol red, with an osmolarity of 290 mOsm/L, was perfused through the intestinal segment at a flowrate of 0.2 mL/min. The perfusion buffer was perfused for 1h without sampling, to ensure steady state conditions, followed by additional 1h of perfusion with samples taken every 10 min (Figure-4). The pH of the collected samples was measured at the outlet, to verify that there was no pH change throughout the perfusion (pH 6.5). The samples were immediately assayed by UPLC. The length of the perfused intestinal segment was measured at the end point of the experiment. The effective permeability (Peff, cm/sec) through the rabbit gutwall was determined according to the following equation.

 

Peff = -Q ln(Cout/Cin) 2πRL

 

Where Q is the perfusion buffer flowrate (0.2mL/min), Cout/Cin is the ratio of the outlet and the inlet concentration of drug that has been adjusted for water transport via the non-absorbable marker phenol red, R is the radius of the intestinal segment (set to 0.2cm), and L is the length of the perfused intestinal segment. All the samples were analyzed by UPLC in the proposed method.

 

Figure 4: Perfusion study and sample collection of Ractopamine in rabbit

 

 

The intestinal permeability in the rabbit was found to be segmental-dependent similar to reference compound (metoprolol) with higher Peff at distal intestinal regions (with higher average pH) than in proximal segments. The results from the present study suggest that a drug can be classified as highly permeable if it’s permeability in any intestinal region is higher than metoprolol’s permeability in jejunum. The Peff of metoprolol was found to be 0.31±0.07 x 10-4 whereas for Ractopamine, the Peff value is 0.022 ± 0.003 x 10-4 (Table-10). The low Peff of the molecule indicates it has low permeability in jejunum region (Figure-5). In situ single-pass intestinal perfusion in rabbits gave a good estimation of the effective permeability.

 

Figure 5: Mean concentrations of Ractopamine in rabbit Perfusion study(n=6)

 

3.4 Greenness of the method using AGREE:

AGREE software produces a clockwise circular diagram in which numbers 1 to 12 are arranged in the edge, indicates 12 ideologies of green analytical chemistry. Each of the 12 principles' result is based on an aggregate scale of 0 to 1 based on inputs and weights provided.15,16 The score is the net result of all the 12 principles Figure 5 shows the AGREE diagram of the proposed method. The representative AGREE score of the proposed UPLC was estimated as 0.73 (Figure-6) which suggested the significant greenness for the estimation of Ractopamine.

 

Figure 6: Greenness of the proposed UPLC method

 

4. CONCLUSIONS:

The present UPLC method offers significant advantages over those previously reported, LC-MS methods. The linear dynamic range established was adequate to measure the concentration of Ractopamine in any preclinical and clinical study involving different biological species. However, the current method may not exactly classify the drugs for permeability, but it can be used to estimate such low concentrations used in perfusion and diffusion studies. The results also suggest the importance of determining regional permeability of drugs for prediction of their suitability for use in extended release (ER) formulations.

 

5. CONFLICT OF INTEREST:

The authors have no relevant financial or non-financial interests to disclose.

 

6. AUTHOR CONTRIBUTIONS:

All authors contributed to the study conception and design. All authors read and approved the final manuscript.

 

7. REFERENCES:

1.      W.E. Colbert, P.D. Williams, G.D. Williams. Beta-adrenoceptor Profile of Ractopamine HCl in Isolated Smooth and Cardiac Muscle Tissues of Rat and Guinea-pig. The Journal of Pharmacy and Pharmacology. 1991; 43(12): 844–847. doi:10.1111/j.2042-7158.1991.tb03192.

2.      X. Liu, D.K. Grandy, A. Janowsky. Ractopamine, a livestock feed additive, is a full agonist at trace amine-associated receptor 1. The Journal of Pharmacology and Experimental Therapeutics. 2014; 350(1): 124–129. doi:10.1124/jpet.114.213116.PMC 4170122.

3.      H. J. Mersmann. Overview of the effects of beta-adrenergic receptor agonists on animal growth including mechanisms of action. Journal of Animal Science.  1998; 76: 160-172. doi: 10.1016/j.aca.2004.09.053.

4.      J. P. Wang, S. X. Zhang, and J. Z. Shen. Technical note: a monoclonal antibody-based immunoassay for determination of ractopamine in swine feeds. Journal of Animal Science. 2006; 84: 1248–1251.

5.      D. Guanglong, D. Li, J. Qin, J. Zhu, B. Wang, Q. Geng, M. Guo, D. Punyapitak, Y. Cao. Development and validation of a high-performance liquid chromatography method for determination of ractopamine residue in pork samples by solid phase extraction and pre-column derivatization. Meat Science. 2015; 106: 55-60.

6.      T. Sakai et al. Determination method for ractopamine in swine and cattle tissues using LC/MS. Shokuhin Eiseigaku Zasshi. 2007; 48(5): 144–147. doi:10.3358/shokueishi.48.144

7.      J. P. Antignac, P. Marchand, B. Le Bizec, and F. Andre. Identification of ractopamine residues in tissue and urine samples at ultra-trace level using liquid chromatography-positive electrospray tandem mass spectrometry. Journal of Chromatography B. 2002; 774: 59–66.

8.      E. D. Haley, B. Crystal-Dawn, B. Patrick, G. Ifigenia, J.B. Thomas, S. John, B. Keith, P. Jessica. Quantification of ractopamine residues on and in beef digestive tract tissues. Journal of Animal Science. 2019; 97(10): 4193–4198.

9.      J.T Nie, Z.T Hong, J. Lian, X.L. Deng. Rapid Determination of Ractopamine and Clenbuterol in Animal Urine with HPLC-MS/MS. Chin. J. Vet. Drug. 2008; 42(8): 17–20.

10.   Y.F. Ying, X.E Pi, P.G. Wu, H.H. Chen, C.Y. Zhu, C.B Lu. Simultaneous Determination of Ractopamine and Clenbuterol Residues in Animal Urine with Gas Chromatography-Mass Spectrometry. J. Chin. Mass Spectr. Soc. 2006; 27(2):  74–78.

11.   Food and Drug Administration. Guidance for Industry: Bioanalytical Method Validation Center for Drug Evaluation and Research. Silver Springs, MD: FDA; 2001.

12.   S. K. Amruta, V. P. Nayana, S. G. Puja, D. C. Sushila. Bioanalytical Method Validation. Asian J. Pharm. Ana. 2015; 5(4): 219-225.

13.   ICH guideline M10 on Bioanalytical Method Validation and Study Sample Analysis EMA/CHMP/ICH/172948/2019.

14.   VICH Guideline 49 (2011) Studies to Evaluate the Metabolism and Residue Kinetics of Veterinary Drugs in Food-Producing Animals, U.S. Food and Drug Administration, Center for Veterinary Medicine, http://www.fda.gov/downloads/ AnimalVeterinary/GuidanceComplianceEnforcement/GuidanceforIndustry/UCM207942.pdf

15.   P. F. Pereira, W. Wojnowski, M. Tobiszewski. Analytical GREEnness Metric Approach and Software. Anal Chem. 2020; 92(14): 10076–82.

16.   A. Gałuszka, Z. M. Migaszewski, P. Konieczka, J. Namieśnik. Analytical Eco-Scale for assessing the greenness of analytical procedures. Trends Anal Chem. 2012; 37: 61–72.

 

 

 

 

Received on 10.08.2023           Modified on 15.02.2024

Accepted on 05.07.2024   ©Asian Pharma Press All Right Reserved

Asian J. Res. Pharm. Sci. 2024; 14(3):195-202.

DOI: 10.52711/2231-5659.2024.00032