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Review

Current Trends in Simultaneous Determination of Co-Administered Drugs

Department of Pharmacy, University of Chieti-Pescara “G. d’Annunzio”, 66100 Chieti, Italy
*
Author to whom correspondence should be addressed.
Separations 2020, 7(2), 29; https://doi.org/10.3390/separations7020029
Submission received: 11 March 2020 / Revised: 28 April 2020 / Accepted: 26 May 2020 / Published: 28 May 2020

Abstract

:
Recently, high demand of high-throughput analyses with high sensitivity and selectivity to molecules and drugs in different classes with different physical-chemical properties—and a reduction in analysis time—is a principal milestone for novel methodologies that researchers are trying to achieve—especially when analytical procedures are applied to clinical purposes. In addition, to avoid high doses of a single drug that could cause serious side effects, multi-drug therapies are often used to treat numerous diseases. For these reasons, the demand for methods that allow the rapid analysis of mixed compounds has increased in recent years. In order to respond to these needs, new methods and instruments have been developed. However, often the complexity of a matrix can require a long time for the preparation and processing of the samples. Different problems in terms of components, types of matrices, compounds and physical-chemical complexity are encountered when considering drugs association profiles for quantitative analyses. This review addresses not only recently optimized procedures such as chromatographic separation, but also methods that have allowed us to obtain accuracy (precision and trueness), sensitivity and selectivity in quantitative analyses for cases of drug associations.

Graphical Abstract

1. Introduction

Recently, high demand for new formulations and new targeted therapies has led to more sensitive and selective analytical procedures for simultaneous classification, identification and quantification of compounds that show different physical-chemical properties. From a chemical point of view, these compounds may belong to the same chemical class [1,2] or may be different [3]. Moreover, several therapeutic classes (e.g., antihistamines, bronchodilators, mucolytics, anti-inflammatories, antibiotics, etc.) are available on the market that present a low percentage of serious adverse reactions when administered in low doses. Thus, considering the lower occurrence of severe side effects of a low dose of individual drug, the treatment of certain pathologies often involves a combination of medicines. The need for new procedures that allow the simultaneous analysis and bioanalysis of different compounds has been increasing in the last years. When tablet and/or other pharmaceutical forms are analyzed, in order to develop robust procedures for drug quality controls the first step involves the identification of target analytes—often in complex matrices. This step is the key when these compounds are quantified in biologic matrix to evaluate the pharmacokinetic (PK) and pharmacodynamics (PD) parameters for the administration of single drugs or the co-administration. Since dosage changes do not instantly translate into responses or side effects, therapeutic drug monitoring can facilitate dose adjustments. Often, when drugs are administered in association, the co-administered drug and/or its metabolites may modify the pharmacokinetic parameters of the single active principle via a sort of cross-influence. This can lead to changes in the therapeutic strategies and dosages. The effects can be also positive, related to a higher residence time with better efficacy or lower doses [4]. These phenomena may also be observed when a specific formulation is designed. Some solvents or other additives, such as polyvinylpyrrolidone (PVP) [5] or hydroxy-propyl-methylcellulose (HPMC) [6], may modify the compaction characteristics, mechanical properties, crystal structure and/or the compression properties of final product. HPMC and PVP are polymers that act as a release control element and must possess certain characteristics such as biocompatibility, mechanical strength and permeability to a given drug. These additives can profoundly modify the PK parameters and may be considered at the same level of a “second active compound”, due their influence in the drugs release. These polymers strongly influence the release of the drug. A high polymer content causes the formation of a gel layer which slowly erodes by controlling the drug delivery. On the other hand, a small amount of polymer allows a greater penetration of water into the matrix—and a consequent increase in the rate of drug release.
Quality control is fundamental, especially in the search for new synthetic drugs and natural products. It is also an important tool in the fight against drug counterfeiting. Studies on drug stability also allow highlighting the presence of impurities in the final formulation: according to the guidelines of the International Conference on Harmonization (ICH) and other international agencies, all impurities and degradation products that are present beyond a defined threshold must be reported, identified and quantified. In particular, impurities generally present during the synthetic process are often detected and are defined as “by-products” or “intermediates”.
Taking into consideration the great prevalence and importance of dose-combination in modern therapies, the elaboration of robust and accurate analytical procedures that are able to detect and quantify simultaneously different drugs characterized by different chemical structures represents a new challenge for analysts. The procedures used in quality control must have some characteristics such as reproducibility, transferability, cheapness and speed of analysis. In addition, a validation process must be carried out entirely in order to obtain data that can follow the drug development process [7]. In this review, recent procedures and advantages are treated, both in terms of extraction and instrument configurations in order to highlight the separation conditions, but also to achieve accuracy (precise and trueness), sensitivity and selectivity [8,9] in quantitative analyses for the drug association cases. Various methods concerning the analysis of co-formulated drugs—both in pharmaceuticals and in biologic matrices are reported.

2. Drug Associations: Co-Formulations Analyses of Two Different Active Compounds

Prophylactic, curative, palliative or diagnostic purposes is the main target of pharmaceutical drug-association analyses. The final product must satisfy quality standards in addition to respecting safe and effective PK profiles. In this topic are included the main problems related to the drugs association production, especially associated with medicines showing a low therapeutic index, due to the concentration of each compound that is not completely guaranteed. Contamination by impurities not included in the original formula, and/or degradation products is an additional problem, coupled to the simultaneous presence of other active substances that can interfere with a given single drug’s stability. In particular, impurities present are often derived from synthetic process. It has been established in the International Conference of Harmonization (ICH) guidelines that all impurities and/or degradation products present over a defined limit must be indicated and quantified. Quantitative analysis using validated procedures aims to verify whether the drug associations not only show the labeled dose of the active ingredient, but also verify the overall product integrity and the absence of degradation products and/or cross interactions between the active principles present in the formulation. In addition, several active ingredients are often present in co-formulations at lower doses than the single formulation. This has the advantage of administering lower doses of active ingredients, which at high doses could cause adverse effects. Analytical assays able to detect more drugs in pharmaceutical formulations, linking in vitro and in vivo characterization of novel formulations are very important, especially when drug development is carried out using extensive formulation development processes. In this scenario, analytical procedures based on spectroscopic techniques play a key role, due to their high sensitivity, selectivity, ease of use and inexpensiveness. In this case, the use of spectrofluorimetric techniques is often adopted, and no interfering signals due co-formulated drugs are present, as recently reported by Walash et al. [10]. In the same way, derivative spectrophotometric procedures also allow analyses of pharmaceutical formulations, as reported for the simultaneous determination of co-formulated binary mixtures for specific treatments [11,12,13,14,15,16,17,18,19,20,21,22,23,24,25]. In this case, the main problem is related to the possibility of resolving the overlapping peaks phenomena that occurs in a “cumulative” absorbance measure when different signals are recorded. To increase the reliability of this test, it is sometimes recommended that the absorbance at a given maximum value should be within ± 3% of the reference standard. In addition, in some cases, the absorbance ratio of two characteristic wavelengths is also limited. Using derivative spectroscopy in the UV-Vis spectra—and applying spectral corrections according to constant center (CC), ratio difference (RD), mean centering of ratio spectra (MCR), simultaneous equation method, Q-analysis method/absorption ratio, area under curve, or first-order derivative spectrophotometric methods—can enable quantifying two active components in different formulations. Even if spectroscopic procedures are easy and reliable [26], chromatographic methods are generally applied to quality control measurements, especially in co-formulations, as reported in Table 1, Table 2 and Table 3. High pressure thin layer chromatography (HPTLC) [27,28,29,30,31,32,33,34,35,36], capillary electrophoresis (CE) [37,38] high performance liquid chromatography (HPLC) [39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102] or methodologies allow the quantification of targeted compounds in complex pharmaceutical dosage to certify the final commercial product and its stability (also considering the possibility of cross-interactions). In particular, several HPLC procedures have been developed and validated for binary drug-association co-formulation analyses in tablets (Table 1), capsules (Table 2), mixtures or other formulations (Table 3). As highlighted in the column concerning the instrumentation, HPLC coupled with a UV detector is very useful for the simultaneous determination of drugs in pharmaceutical dosage forms. This technique is widely used for higher sensitivity and selectivity. Particular interestingly is the work by Ibrahim and co-workers [53], who used HPLC coupled with fluorescence detection in addition to third-derivative synchronous fluorescence spectroscopy as two complementary methods for the determination of rabeprazole sodium and domperidone after derivatization with 4-chloro-7-nitrobenzofurazan as fluorescence probe. The different physical-chemical properties shown by the active ingredient and its degradation products—or by two different active compounds—represent a further difficulty. These lead to optimizing the extraction and clean-up procedures in order to obtain the best recovery of molecules and/or degradation compounds.
The procedure for mixtures prepared in the laboratory involved standard solutions of the various active compounds in specific ratios that were subsequently diluted to volumes and mixed. The recommended procedure for the calibration curve was then performed. The peak signal was plotted vs. the final concentration of the drug (µg/mL) to generate the calibration curve. For the simultaneous determination of two different active compounds in their co-formulated tablets, the preparation was generally carried out as follows: tablets were weighed and pulverized well. A weighed quantity of the powdered tablet in their pharmaceutical ratio (specific for each active compounds) was transferred into a small conical flask and extracted with organic solvent (mostly methanol). The extract was then filtered into a volumetric flask. The conical flask was washed with few milliliters of methanol. The washings were passed into the same volumetric flask and filled to the volume with the same solvent. Aliquots spanning the working concentration range were transferred into final flasks.
As shown in the tables above, all developed methods consider the HPLC-UV-Vis (or PDA) instrument configuration as the best choice, particularly for ease of use, robustness, cheapness and the fact that it does not require highly qualified personnel for its use. Notably, a review study was recently published reporting the importance of HPLC instrumentation in quality control and drug research [26]. The primary developed HPLC methods are simple, sensitive, specific and adequate for the simultaneous quantification of two active compounds in different formulations. The methods have been validated in terms of linearity, intra- and inter-day precision, trueness, limit of quantification (LOQ), limit of detection (LOD) and reproducibility for each analyte and successfully applied to drug chemical stability studies. The method is also suitable for application to other analytical problems, for example, quality control of pharmaceutical formulations or evaluating the chemical stability of referred drugs in mixtures for clinical use.
In this scenario, only in recent years [67,89,95,98] some papers reported the HPLC-MS/MS configuration. These methods show very high selectivity—especially when multiple-reaction monitoring (MRM) or single-reaction monitoring (SRM) mode is adopted. This improves the selectivity and sensibility of the developed assay.
In this case, co-eluted compounds can represent major problems and the procedure can suffer from the matrix effect (ME). The impact of ME on the trueness, precision and robustness of bioanalytical methods is growing in pharmaceutical industry. The matrix composition can represent the limiting step in bioanalytical chemistry and quantitative analysis [103]. In fact, matrices often contain different components—particularly endogenous phospholipids that can affect the instrumental setting up and the equipment performance. Tang and Kebarle described the ME for the first time. MEs can be described as the difference between the MS signal of analytes in a standard solution and the signal of the same compounds in biologic matrices [104,105]. Differences between standard-solution and biologic samples may depend on a potential competition between analytes and components of matrices for stationary and mobile phases. All these factors can cause some errors in the accuracy and precision of bioanalytical methods. There are various methods for evaluating ME; the most common are the post-column infusion method and the post-extraction spike method. The former is performed by monitoring the instrument response of a constantly infused analyte after injecting an extract from a sample into the system. The post-extraction spike method evaluates MEs by comparing the response of an analyte—in a clean solution—to the response of the analyte spiked into a blank matrix sample, prepared through the same process. While the first approach is limited in that it does not provide a quantitative evaluation of the level of ME obtained, in contrast, the second method quantitatively assesses the effect. When pharmaceutical formulations (tablets, mixtures, capsules) are analyzed, the targeting compounds represent the principal component. A great strategy—often adopted in order to reduce the ME—is the dilution procedure. The injection of small amount increases the performance of analysis, due to the decreased number of components in the sample. In addition, when using the MS instrumentation the injection volume optimization is also required and mandatory in order to increase the source ionization process. The dilution procedure, as well as the injection of small volumes, also decreases the number of molecules competitors to the droplet surface [106,107]. Other scientists have focused on optimizing sample preparation in order to reduce or remove matrix effect. These sample preparation methods include protein precipitation (PPT), liquid–liquid extraction (LLE), silica-based solid-phase extraction (SPE) and polymeric SPE. Comparing all these sample preparation procedures, PPT is the least effective sample preparation technique because fails to remove enough of the plasma components, specifically phospholipids that are known to cause variability in analyte signal intensity in mass spectrometers. Reversed-phase SPE and cation exchange SPE result in significantly lower levels of phospholipids, compared with PPT. Liquid–liquid extraction provides cleaning extracts comparable to cationic SPE. Mixed-mode strong-cation-exchange SPE, which combines the retention mechanisms of reversed-phase and ion exchange, showed the most effective sample clean-up and highest recoveries, leading to minimal matrix effects from biologic samples and excellent recoveries for a range of polar and nonpolar analytes.

3. Drug Associations: Co-Formulations Analyses of More Different Active Compounds

Some recently published papers report also the quality control and/or stability evaluation for ternary mixtures of co-formulated principles [52,108,109,110,111,112,113,114,115,116], highlighting the deep importance and the necessity covered by separation techniques in pharmaceutical fields, from drugs development to final commercial products, as reported in Table 4 (tablets) and Table 5 (mixture). Nowadays, the mixtures of these active components are present in pharmaceutical formulations as capsules and tablets forms. All reported methods consider organic solvents (principally acetonitrile and methanol) and aqueous ones as starting conditions for the development of the reversed-phase chromatographic separation. This kind of chromatography has been generally selected due to the large availability of different stationary phases and robustness with respect to the nature of other chromatographic interactions.
Furthermore, the aqueous phase could be added with formic acid (generally at 0.1% to 1%) or other modifiers (trifluoroacetic acid, trichloroacetic acid), in order to improve the mass spectrometry (MS) response or could be buffer (ammonium formiate or ammonium acetate) with concentrations ranged from 25 mM to 100 mM. Interestingly, all papers use standard HPLC columns from 150 cm to 250 cm, with 4.6-mm internal diameter (i.d.) and 5-µm-particle size. In this contest these configurations are very cheap, but don’t follow the “green analytical chemistry” rules due to high solvent consumption respect to other configurations such as lower column i.d., the use of not fully environmental-friendly solvents, coupled to eventual persistent bioaccumulation and toxic effects [112].
In order to better follow the GAC rules, possible alternative options could be represented by replacement with green solvents (like ethanol, isopropanol, n-propanol, acetone, ethyl acetate, ethyl lactate and propylene carbonate) or the use of shorter columns in order to reduce the single analysis runtime (enhancing the throughput). Another available option could be the use of nano–LC instrumentation that allow the same analytical performances observed in classical configuration, but require smaller solvent volumes.

4. Drug Associations: Co-Formulations Analyses in Biologic Matrices

Papers that report the analyses of co-administered drugs in different biologic matrices are described in this section. Since some biologic functions are modified following the co-administration of two drugs, the methods for their determination in vivo helps understand their interactions—especially in metabolism reactions. Very often, the same family of cytochromes (mainly CYP3A4) metabolizes the drugs administered concomitantly. Therefore, the possibility of drug–drug interactions (DDI) is highly probable. For this reason, the development and validation of new analytical methods for the simultaneous determination of two or more drugs in biologic fluids is of utmost importance for drug therapeutic monitoring, pharmacokinetics, bioequivalence and DDI studies.
Regarding validated procedures applied to conventional formulations, in the case of biologic matrices, it can be observed that an increased number of papers consider the HPLC-MS/MS instrument configuration as the better choice (Table 6 and Table 7), even if is expensive and not readily available in most laboratories. A sample treatment step is usually necessary before the instrumental analysis of xenobiotics in the biologic matrices—in order to remove interfering compounds, isolate target analytes and increase the selectivity and sensitivity of the analytical method. In most reported works, the sample pretreatment was carried out with SPE or LLE, involving PPT (with acetonitrile in most cases). HPLC-MS/MS configurations (especially when MRM or SRM acquisition modes are used) permit minimal sample-handling due to the instruments’ intrinsic high selectivity and sensitivity [9]. By reducing the pre-analytical steps, the overall recovery methods are generally enhanced, bringing to a quali-quantitative analysis of not only active principles, but also of different compounds derived by degradation or metabolic processes, with a consequent improvement in terms of LODs and/or LOQs. The proposed methods are simple to perform and validated in terms of linearity, intra- and inter-day precision, trueness, LOQ, LOD and reproducibility. The reported analytical methodologies represent suitable tools for the efficient detection, identification and quantification of these analytes in biologic matrices. This is useful to evaluate clinical therapy efficaciously in order to better evaluate pharmacological dosages for the association. In addition, these methods have the potential for application in therapeutic monitoring of patients under treatment with several drugs, and may be applied in clinical research of drug combination, multidrug pharmacokinetics and interactions studies.
Papers that consider HPLC coupled with UV-Vis [117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140], FLD [118], MS or MS/MS [141,142,143,144] detectors are shown in Table 6 and Table 7. When a fluorescence detector was used, the pre-analytical step should involve a derivatizing reagent (for example 4-fluoro-7-nitro-[2,1,3]-benzoxadiazole), especially when the target compounds do not show fluorescence property. The derivatized products can then detected in chromatographic system. Despite these sample treatments, it is often possible to obtain better analytical performance with HPLC-FLD configurations over MS detectors [118], due to the higher intrinsic sensitivity of the FLD detector. The main drawbacks related to MS detectors are related to isobaric compounds—compounds with the same nominal mass, but with a different molecular formula—and isomeric drugs. In these cases, chromatography is of fundamental importance, which is entrusted with the task of solving these compounds, allowing simultaneous analysis in the absence of mutual interference.
The high selectivity achieved with these analytical methods allows studying pharmacokinetic profiles: it is possible to calculate pharmacokinetic parameters such as Cmax (the maximum serum concentration that a drug achieves in a specified compartment), Tmax (the time at which the Cmax is observed), area under the curve (AUC) and the elimination rate constant (Ke).
In the pharmaceutical field, the availability of validated methods that allow obtaining a high sensitivity and selectivity even in complex matrices is of fundamental importance. This can be further highlighted when the drugs—in either single or association administration—are delivered through formulations that allow the modification of the parameters of PD and PK [145,146,147,148].

5. Conclusions

Biologic cross-interactions are important in the determination of many processes that occur in living systems, especially if drug formulations comprise an association of two or more active principles. The simultaneous presence of these compounds can bring to a cross interaction and to a change in PK parameters. Although, especially for new drug formulations, drug research and drug interactions are the first basal step that must be carefully evaluated before pharmaceutical industry production. Many problems encountered in drug association analyses could also be addressed to the quality of the starting raw material used and ineffective of test used for checking the material. In this contest, analytical chemists play a key role in the drug association formulations development, in all steps required for the characterization, quality control, evaluation of pharmacological properties, drug adulteration. Validated procedures allows analytical chemists to obtain accurate and sensitive analyses with extensive linear responses on several drug classes, often using simple, economic and reproducible HPLC methods.
Another finding from this work may be related to the fact that the literature on the analyses of drugs and their associations was examined to provide a useful tool for the immediate use in the laboratory, so that drugs can be exploited according to the specific needs. Unfortunately, it is not possible to indicate which chromatographic column is better, as this would be not only pure speculation, but also free advertising that falls outside the scientific purposes of a review. This is especially in light of the fact that the choice of the column, in addition to the type of analytes to be examined, depends on the matrix (and therefore on interferents), the instrument configuration used (and the chromatographic pumps), the extraction assay and the clean-up procedure. The final choice of column falls on its capability of provide the best performance according to the overall analytical problem, and not just as a function of the analytes.

Author Contributions

Conceptualization, C.C., L.D.M. and M.L.; methodology, C.C., L.D.M. and M.L.; formal analysis, C.C., L.D.M. and M.L.; investigation, A.T., P.R. and F.D.; resources, A.T., P.R. and F.D.; data curation, A.T., P.R. and F.D.; writing—original draft preparation, A.T., P.R. and F.D.; writing—review and editing, A.T., P.R. and F.D.; visualization, C.C., L.D.M. and M.L.; supervision, C.C., L.D.M. and M.L.; project administration, C.C., L.D.M. and M.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors gratefully acknowledge the support given for this literature research from the University “G. d’Annunzio” of Chieti-Pescara.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Locatelli, M.; Ciavarella, M.T.; Paolino, D.; Celia, C.; Fiscarelli, E.; Ricciotti, G.; Pompilio, A.; Di Bonaventura, G.; Grande, R.; Zengin, G.; et al. Determination of Ciprofloxacin and Levofloxacin in Human Sputum Collected from Cystic Fibrosis Patients using Microextraction by Packed Sorbent-High Performance Liquid Chromatography Photo Diode Array Detector. J. Chromatogr. A 2015, 1419, 58–66. [Google Scholar] [CrossRef] [PubMed]
  2. Locatelli, M.; Ferrone, V.; Cifelli, R.; Barbacane, R.C.; Carlucci, G. Micro-Extraction by packed sorbent and HPLC determination of seven non-steroidal anti-inflammatory drugs in human plasma and urine. J. Chromatogr. A 2014, 1367, 1–8. [Google Scholar] [CrossRef] [PubMed]
  3. Locatelli, M.; Cifelli, R.; Di Legge, C.; Barbacane, R.C.; Costa, N.; Fresta, M.; Celia, C.; Capolupo, C.; Di Marzio, L. Simultaneous determination of Eperisone Hydrochloride and Paracetamol in mouse plasma by High Performance Liquid Chromatography-PhotoDiode Array Detector. J. Chromatogr. A 2015, 1388, 79–86. [Google Scholar] [CrossRef]
  4. Malatesta, L.; Cosco, D.; Paolino, D.; Cilurzo, F.; Costa, N.; Di Tullio, P.; Fresta, M.; Celia, C.; Di Marzio, L.; Locatelli, M. Simultaneous quantification of Gemcitabine and Irinotecan hydrochloride in rat plasma by using high performance liquid chromatography-diode array detector. J. Pharm. Biomed. Anal. 2018, 159, 192–199. [Google Scholar] [CrossRef] [PubMed]
  5. Nesic, M.; Cvetkovic, N.; Polic, D.A. Contribution to the knowledge of the consolidation mechanism of ibuprofen-polyvinylpyrrolidone system. Acta Pharm. Jugosl. 1990, 40, 545–550. [Google Scholar]
  6. Madelaine, R.W.; Ford, J.L.; Powell, M.W. Simultaneous determination of ibuprofen and hydroxypropylmethylcellulose (HPMC) using HPLC and evaporative light scattering detection. J. Pharm. Biomed. Anal. 2002, 30, 1355–1359. [Google Scholar] [CrossRef]
  7. Locatelli, M.; Governatori, L.; Carlucci, G.; Genovese, S.; Mollica, A.; Epifano, F. Recent application of analytical methods to phase I and phase II drugs development: A review. Biomed. Chromatogr. 2012, 26, 283–300. [Google Scholar] [CrossRef]
  8. Zaza, S.; Lucini, S.M.; Sciascia, F.; Ferrone, V.; Cifelli, R.; Carlucci, G.; Locatelli, M. Recent advances in the separation and determination of impurities in pharmaceutical products. Instrum. Sci. Technol. 2015, 43, 182–196. [Google Scholar] [CrossRef]
  9. Locatelli, M.; Melucci, D.; Carlucci, G.; Locatelli, C. Recent HPLC strategies to improve sensitivity and selectivity for the analysis of complex matrices. Instrum. Sci. Technol. 2012, 40, 112–137. [Google Scholar] [CrossRef]
  10. Walash, M.I.; Ibrahim, F.; Eid, M.I.; El Abass, S.A. Stability-indicating spectrofluorimetric method for determination of itopride hydrochloride in raw material and pharmaceutical formulations. J. Fluoresc. 2013, 23, 1293–1300. [Google Scholar] [CrossRef] [PubMed]
  11. Mohamed, M.H. A study of selective spectrophotometric methods for simultaneous determination of Itopride hydrochloride and Rabeprazole sodium binary mixture: Resolving sever overlapping spectra. Spectrochim. Acta A 2015, 136, 1308–1315. [Google Scholar] [CrossRef] [PubMed]
  12. Dudhe, P.B.; Shinde, A.P.; Salgar, K. Development and validation of analytical methods for simultaneous estimation of domperidone and esomeprazole magnesium in bulk and in pharmaceutical formulations using UV-visible spectroscopy. Int. J. PharmTech Res. 2014, 6, 1501–1508. [Google Scholar]
  13. Prabu, S.; Shirwaikar, A.; Shirwaikar, A.; Kumar, C.; Joseph, A.; Kumar, R. Simultaneous estimation of esomeprazole and domperidone by UV spectrophotometric method. Indian J. Pharm. Sci. 2008, 70, 128–131. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Patel, A.H.; Patel, J.K.; Patel, K.N. Development and validation of derivative spectrophotometric method for simultaneous estimation of domperidone and rabeprazole sodium in bulk and dosage forms. Int. J. Pharm. 2010, 2, 464–469. [Google Scholar]
  15. Charde, M.S.; Walode, S.G.; Tajne, M.R.; Kasture, A.V. UV-spectrophotometric estimation of ranitidine and domperidone in tablet formulations. Indian J. Pharm. Sci. 2006, 68, 658–659. [Google Scholar] [CrossRef] [Green Version]
  16. Moon, S.A.; Chate, S.G.; Kuchekar, B.S.; Karande Patil, S.A.; Patil, S.L.; Pagare, B.D. Spectrophotometric simultaneous determination of lafutidine and domperidone in combined tablet dosage form by absorbance corrected method and first order derivative method. Pharma Chem. 2012, 4, 930–934. [Google Scholar]
  17. Barse, S.A.; Gosavi, S.A.; Kasture, V.S. Comparative spectrophotometric analysis of simultaneous estimation of esomeprazole and domperidone in tablet dosage form. RJPT 2011, 4, 1363–1366. [Google Scholar]
  18. Salem, M.Y.; El-Zanfaly, E.S.; El-Tarras, M.F.; El-Bardicy, M.G. Simultaneous determination of domperidone and cinnarizine in a binary mixture using derivative spectrophotometry, partial least squares and principle component regression calibration. Anal. Bioanal. Chem. 2003, 375, 211–216. [Google Scholar] [CrossRef]
  19. Shedpure, P.S.; Patel, P.A.; Sawant, S.D.; Dole, M.N. Spectrophotometric determination of Dexrabeprazole sodium and Domperidone maleate in bulk and capsule dosage form by first order derivative spectroscopy. RJPT 2011, 4, 1086–1089. [Google Scholar]
  20. Abdelrahman, M.M. Simultaneous determination of Cinnarizine and Domperidone by area under curve and dual wavelength spectrophotometric methods. Spectrochim. Acta A 2013, 113, 291–296. [Google Scholar] [CrossRef]
  21. Saudagar, R.B.; Saraf, S. First order derivative simultaneous equation and area under the curve methods for estimation of domperidon maleate and rabeprazole sodium in tablet dosage form. Indian Drugs 2006, 43, 388–392. [Google Scholar]
  22. Choudhary, N.; Siddiqui, I.; Rai, J.; Singh, S.; Surabhi, S.; Gautam, H. Simultaneous estimation of lansoprazole and naproxen by using UV spectrophotometer in tablet dosage form. Pharma Chem. 2013, 5, 67–74. [Google Scholar]
  23. Baldha, R.G.; Patel Vandana, B.; Bapna, M. Simultaneous spectrophotometric estimation of rabeprazole sodium and domperidone in combined dosage forms. Int. J. PharmTech Res. 2010, 2, 1563–1568. [Google Scholar]
  24. Lakshmi, S.; Anilkumar, V.; Venkatesan, M.; Raja, T.K. Simultaneous estimation of omeprazole and domperidone in solid oral dosage form using spectrophotometric method. Indian Drugs 2003, 40, 589–591. [Google Scholar]
  25. Lamie, N.T.; Yehia, A.M. Development of normalized spectra manipulating spectrophotometric methods for simultaneous determination of Dimenhydrinate and Cinnarizine binary mixture. Spectrochim. Acta A 2015, 150, 142–150. [Google Scholar] [CrossRef]
  26. Gorog, S. Identification in drug quality control and drug research. Trends Anal. Chem. 2015, 69, 114–122. [Google Scholar] [CrossRef]
  27. Patel, B.H.; Suhagia, B.N.; Patel, M.M.; Patel, J.R. HPTLC determination of rabeprazole and domperidone in capsules and its validation. J. Chromatogr. Sci. 2008, 46, 304–307. [Google Scholar] [CrossRef] [Green Version]
  28. Singh, A.; Khan, M.H. High performance thin layer chromatographic quantification domperidone and paracetamol in tablets forms domperidone, paracetamol, silica gel HPTLC Plate, HPTL. Orient. J. Chem. 2014, 30, 395–399. [Google Scholar] [CrossRef] [Green Version]
  29. Vijey Aanandhi, M.; Thiyagarajan, N.; Koilraj, M.; Shanmugasundaram, P.; Sujatha, R. Simultaneous estimation of domperidone and lansoprazole in capsule formulation by HPTLC method. Rasayan J. Chem. 2009, 2, 15–17. [Google Scholar]
  30. Yadav, A.; Singh, R.; Mathur, S.; Saini, P.; Singh, G. A simple and sensitive HPTLC method for simultaneous analysis of domperidone and paracetamol in tablet dosage forms. J. Planar Chromatogr. 2009, 22, 421–424. [Google Scholar] [CrossRef]
  31. Vinodhini, C.; Kalidoss, A.S.; Vaidhyalingam, V. Simultaneous estimation of cinnarizine and domperidone by high performance thin layer chromatography in tablets. Indian Drugs 2005, 42, 600–603. [Google Scholar]
  32. Charde, M.S.; Walode, S.G.; Tajne, M.R.; Kasture, A.V. Development of high-pressure thin layer chromatographic method for simultaneous estimation of ranitidine HCl and domperidone in their combined dosage. Asian J. Chem. 2005, 17, 2402–2410. [Google Scholar]
  33. Gosavi, S.A.; Shirkhedkar, A.A.; Jaiswal, Y.S.; Surana, S.J. Quantitative planar chromatographic analysis of pantoprazole sodium sesquihydrate and domperidone in tablets. J. Planar Chromatogr. 2006, 19, 302–306. [Google Scholar] [CrossRef]
  34. Roosewelt, C.; Magesh, A.R.; Sheeja Rekha, A.C.; Shanmuga Pandian, P.; Gunasekaran, V. Simultaneous estimation and validation of esomeprazole and domperidone by HPTLC in pure and pharmaceutical dosage forms. Asian J. Chem. 2007, 19, 2955–2960. [Google Scholar]
  35. Susheel, J.; Lekha, M.; Ravi, T. High performance thin layer chromatographic estimation of lansoprazole and domperidone in tablets. Indian J. Pharm. Sci. 2007, 69, 684–686. [Google Scholar] [CrossRef]
  36. Patel, B.; Patel, M.; Patel, J.; Suhagia, B. Simultaneous determination of omeprazole and domperidone in capsules by RP-HPLC and densitometric HPTLC. J. Liq. Chromatogr. Relat. Technol. 2007, 30, 1749–1762. [Google Scholar] [CrossRef]
  37. Abdelal, A.A.; Kitagawa, S.; Ohtani, H.; El-Enany, N.; Belal, F.; Walash, M.I. Method development and validation for the simultaneous determination of cinnarizine and co-formulated drugs in pharmaceutical preparations by capillary electrophoresis. J. Pharm. Biomed. Anal. 2008, 46, 491–497. [Google Scholar] [CrossRef]
  38. Salim, M.M.; Ebeid, W.M.; El-Enany, N.; Belal, F.; Walash, M.; Patonay, G. Simultaneous determination of aliskiren hemifumarate, amlodipine besylate, and hydrochlorothiazide in their triple mixture dosage form by capillary zone electrophoresis. J. Sep. Sci. 2014, 37, 1206–1213. [Google Scholar] [CrossRef]
  39. Suneetha, G.; Venkateswarlu, P.; Prasad, P.S.S.; Krishna, P.M. Determination of Ilaprazole and Domperidone in Individual Dosage form Tablets by RP-HPLC. Asian J. Chem. 2013, 25, 3989–3992. [Google Scholar] [CrossRef]
  40. Akkamma, H.G.; Sai Kumar, S.; Chandanam, S.; Sreenivasa Rao, T.; Sukanya, K.; Manogna, K. Development and validation of new analytical method for simultaneous estimation of domperidone and rabeprazole in pharmaceutical dosage forms. Res. J. Pharm. Biol. Chem. Sci. 2012, 3, 705–712. [Google Scholar]
  41. Jain, R.R.; Patil, P.O.; Bari, S.B. Simultaneous estimation of Esomeprazole and levosulpiride in bulk and in capsule formulation by RP-HPLC. J. Chil. Chem. Soc. 2013, 58, 1846–1849. [Google Scholar] [CrossRef] [Green Version]
  42. Saravanan, G.; Yunoos, M.; Pooja, B. Development and validation of RP-HPLC method for the simultaneous estimation of paracetamol, aceclofenac and rabeprazole sodium in bulk and its pharmaceutical dosage form. J. Chem. Pharm. Res. 2013, 5, 409–416. [Google Scholar]
  43. Kranthikumar, V.; Sundaraganapathy, R.; Ananda Thangadurai, S.; Mahaboob Basha, M.; Jambulingam, M.; Niraimathi, V. Development and validation of RP-HPLC method for simultaneous estimation of domperidone and lafutidine in pharmaceutical tablet dosage form. Int. J. Pharm. Pharm. Sci. 2013, 5, 68–72. [Google Scholar]
  44. Vanka, A.K.; Voodikala, A.; Simhadri, S.V.; Atla, S.R.; Tata, S. Development and validation of RP-HPLC method for simultaneous estimation of famotidine and domperidone in pharmaceutical dosage form. Int. J. Pharm. Pharm. Sci. 2013, 5, 223–227. [Google Scholar]
  45. Jagani, N.M.; Prajapati, V.D.; Shah, J.S.; Patel, P.B. Development and validation of reverse phase high performance liquid chromatography method for simultaneous estimation of cinitapride and omeprazole in combined capsule dosage form. Int. J. Pharm. Sci. Rev. Res. 2012, 15, 35–41. [Google Scholar]
  46. El-Fatatry, H.M.; Mabrouk, M.M.; Hewala, I.I.; Emam, E.H. Stability-indicating HPLC-DAD methods for determination of two binary mixtures: Rabeprazole sodium-mosapride citrate and rabeprazole sodium-itopride hydrochloride. J. Pharm. Anal. 2014, 4, 258–269. [Google Scholar] [CrossRef] [Green Version]
  47. Rama Chandraiah, M.; Rami Reddy, Y.V. Method development and validation of HPLC for the simultaneous determination of domperidone and rabeprazole. Int. J. Pharm. Technol. 2012, 4, 4261–4267. [Google Scholar]
  48. Giriraj, P.; Sivakkumar, T. Development and validation of a rapid-chemo metrics assisted RP-HPLC method with PDA detection for the simultaneous estimation of domperidone and ilaprazole in pure and pharmaceutical formulation. Pharm. Lett. 2014, 6, 376–385. [Google Scholar]
  49. Vasantharaju, S.G.; Namita, P.; Hussen, S.S. Quantification of domperidone, paracetamol, esomeprazole and lansoprazole in pharmaceutical dosage forms by reversed phase high performance liquid chromatography. Int. J. Pharm. Pharm. Sci. 2012, 4, 303–306. [Google Scholar]
  50. Pandey, M.; Chawla, P.; Saraf, S.A. Simultaneous estimation of sumatriptan succinate, naproxen and domperidone by reverse phase high performance liquid chromatography. Asian J. Pharm. Clin. Res. 2012, 5, 176–178. [Google Scholar]
  51. Navaneethan, G.; Karunakaran, K.; Elango, K.P. Stability indicating and simultaneous determination of cinnarizine and piracetam from capsule dosage form by reversed phase high performance liquid chromatography. Indian J. Chem. Technol. 2012, 20, 323–326. [Google Scholar]
  52. Locatelli, M.; De Lutiis, F.; Carlucci, G. High Performance Liquid Chromatography determination of Prulifloxacin and five related impurities in pharmaceutical formulations. J. Pharm. Biomed. Anal. 2013, 78, 27–33. [Google Scholar] [CrossRef] [PubMed]
  53. Ibrahim, F.; Wahba, M.E.K. Liquid chromatography coupled with fluorimetric detection and third derivative synchronous fluorescence spectroscopy as two analytical methods for the simultaneous determination of rabeprazole sodium and domperidone after derivatization with 4-chloro-7-nitrobenzofurazan. J. Fluoresc. 2014, 24, 1137–1147. [Google Scholar] [CrossRef] [PubMed]
  54. Manoj, K.; Anbazhagan, S. Reverse phase high performance liquid chromatographic method for simultaneous estimation of domperidone and pantoprazole from tablet formulation. Indian Drugs 2004, 41, 604–608. [Google Scholar]
  55. Zarapkar, S.S.; Kanyawar, N.S. Simultaneous estimation of domperidone and omeprazole in pharmaceutical dosage by reverse phase high performance liquid chromatography. Indian Drugs 2002, 39, 217–221. [Google Scholar]
  56. Vinodhini, C.; Vaidyalingam, V.; Ajithadas, A.; Niraimathi, V.; Shantha, A. Simultaneous estimation of cinnarizine and domperidone in solid oral dosage form by high performance liquid chromatographic method. Indian Drugs 2005, 42, 516–518. [Google Scholar]
  57. Sivasubramanian, L.; Anilkumar, V. Simultaneous HPLC estimation of omeprazole and domperidone from tablets. Indian J. Pharm. Sci. 2007, 69, 674–676. [Google Scholar] [CrossRef]
  58. Sivakumar, T.; Manavalan, R.; Valliappan, K. Development and validation of a reversed-phase HPLC method for simultaneous determination of domperidone and pantoprazole in pharmaceutical dosage forms. Acta Chromatogr. 2007, 18, 130–142. [Google Scholar]
  59. Patel, B.H.; Patel, M.M.; Patel, J.R.; Suhagia, B.N. HPLC analysis for simultaneous determination of rabeprazole and domperidone in pharmaceutical formulation. J. Liq. Chromatogr. Rel. Technol. 2007, 30, 439–445. [Google Scholar] [CrossRef]
  60. Sabnis, S.S.; Dhavale, N.D.; Jadhav, V.Y.; Gandhi, S.V. Column reversed-phase high-performance liquid chromatographic method for simultaneous determination of rabeprazole sodium and domperidone in combined tablet dosage form. J. AOAC Int. 2008, 91, 344–348. [Google Scholar] [CrossRef] [Green Version]
  61. Thanikachalam, S.; Rajappan, M.; Kannappan, V. Stability-indicating HPLC method for simultaneous determination of pantoprazole and domperidone from their combination drug product. Chromatographia 2008, 67, 41–47. [Google Scholar] [CrossRef]
  62. Battu, P.R. Simultaneous HPLC estimation of pantoprazole and domperidone from tablets. Int. J. ChemTech Res. 2009, 1, 275–277. [Google Scholar]
  63. Shabir, G.A. Development and validation of a stability-indicating LC method for the determination of domperidone, sorbic acid, and propylparaben in pharmaceutical formulations. J. Liq. Chromatogr. Relat. Technol. 2010, 33, 1802–1813. [Google Scholar] [CrossRef]
  64. El-Enany, N.M.; Abdelal, A.A.; Belal, F.F.; Itoh, Y.I.; Nakamura, N.M. Development and validation of a repharsed phase- HPLC method for simultaneous determination of rosiglitazone and glimepiride in combined dosage forms and human plasma. Chem. Cent. J. 2012, 6, 9–19. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Singh, B.K.; Agarwal, A.; Trivedi, N.; Mittal, A.; Singhal, S.; Jha, K.K. Development and validation of RP-HPLC method for the simultaneous estimation of omeprazole and domperidone from different capsules. Pharma Res. 2014, 10, 1–6. [Google Scholar]
  66. Mukthinuthalapati, M.A.; Bukkapatnam, V.; Bandaru, S.P.K.; Grandhi, N.S. Simultaneous Determination of Rosuvastatin and Ezetimibe in pharmaceutical formulations by Stability Indicating Liquid Chromatographic Method. J. Bioequiv. Availab. 2014, 6, 174–180. [Google Scholar] [CrossRef] [Green Version]
  67. Jangala, H.; Vats, P.; Khuroo, A.H.; Monif, T. Development and Validation of a LC-MS/MS Method for the Simultaneous Estimation of Amlodipine and Valsartan in Human Plasma: Application to a Bioequivalence Study. Sci. Pharm. 2014, 82, 585–600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  68. Özdemir, F.A.; Akyüz, A. Simultaneous Determination of Amlodipine and Aliskren in Tablets by High-Performance Liquid Chromatography. J. Chromatogr. Sci. 2014, 52, 685–690. [Google Scholar] [CrossRef] [Green Version]
  69. Attimarad, M.; Nagaraja1, S.H.; Aldhubaib, B.E.; Al-Najjar, A. Development of a rapid reversed phase-high performance liquid chromatography method for simultaneous determination of metformin and vildagliptin in formulation and human plasma. J. Young Pharm. 2014, 6, 40–46. [Google Scholar] [CrossRef] [Green Version]
  70. Ramachandran, S.; Mandal, B.K.; Navalgund, S.G. Stability-Indicating HPLC Method for the Simultaneous Determination of Valsartan and Ezetimibe in Pharmaceuticals. Trop. J. Pharm. Res. 2014, 13, 809–815. [Google Scholar] [CrossRef]
  71. Tehrani, M.B.; Shoorvazi, M.; Souri, E. Stability Indicating Derivative Spectrophotometric Method for Simultaneous Determination of Amlodipine and Atorvastatin in Pharmaceutical Dosage Forms. Res. J. Pharm. Biol. Chem. Sci. 2014, 5, 26–34. [Google Scholar]
  72. Peraman, R.; Mallikarjuna, S.; Ammineni, P.; Kondreddy, V.K. RP-HPLC Method Development and Validation for Simultaneous Estimation of Atorvastatin Calcium and Pioglitazone Hydrochloride in Pharmaceutical Dosage Form. J. Chromatogr. Sci. 2014, 52, 1038–1042. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Navaneetha, S.; Srinivas, M. RP-HPLC Method for the Simultaneous Estimation of Metformin Hydrochloride and Telmisartan in Bulk and in a Synthetic Mixture. Int. J. ChemTech Res. 2014, 6, 4737–4745. [Google Scholar]
  74. Khatri, H.R.; Patel, R.B.; Patel, M.R. A new RP-HPLC method for estimation of Clindamycin and Adapalene in gel formulation: Development and validation consideration. TJPS 2014, 38, 44–48. [Google Scholar]
  75. Ashfaq, M.; Akhtar, T.; Mustafa, G.; Danish, M.; Razzaq, S.N.; Nazar, M.F. Simultaneous estimation of rosuvastatin and amlodipine in pharmaceutical formulations using stability indicating HPLC method. Braz. J. Pharma Sci. 2014, 50, 629–638. [Google Scholar] [CrossRef]
  76. Duran, A.; Dogan, H.N.; Ulgen, M. Simultaneous quantitative determinations of fluticasone propionate and salmeterol xinafote in diskus inhalers. Drug Metab. Lett. 2014, 8, 31–35. [Google Scholar] [CrossRef]
  77. Xu, H.; Paxton, J.; Lim, J.; Li, J.; Wu, Z. Development of a gradient high-performance liquid chromatography assay for simultaneous analysis of hydrophilic gemcitabine and lipophilic curcumin using a central composite design and its application in liposome development. J. Pharma Biomed. Anal. 2014, 98, 371–378. [Google Scholar] [CrossRef]
  78. Satya Raga Devi, A.; Ashutosh Kumar, S.; Saravanan, J.; Debnath, M.; Greeshma, V.; Sai Krishna, N.; Naga Madhusudhan Rao, C. A New RP-HPLC Method Development for Simultaneous Estimation of Metformin and Gliclazide in Bulk as well as in Pharmaceutical Formulation by using PDA Detector. Res. J. Pharm. Technol. 2014, 7, 142–150. [Google Scholar]
  79. Al Mahmud, M.A.; Bhadra, S.; Haque, A.; Al Mamun, M.E.; Haider, S. Development and validation of HPLC method for simultaneous determination of Gliclazide and Enalapril maleate in tablet dosage form. Dhaka Univ. J. Pharm. Sci. 2014, 13, 51–56. [Google Scholar] [CrossRef] [Green Version]
  80. Mondal, P.; Raparla, R.K.; Rani, S.S. Novel Stability Indicating Validated RP-HPLC Method for Simultaneous Quantification of Artemether and Lumefantrine in Bulk and Tablet. Curr. Pharm. Anal. 2014, 10, 271–278. [Google Scholar] [CrossRef]
  81. Alanazi, A.M.; Abdelhameed, A.S.; Khalil, N.Y.; Khan, A.A.; Darwish, I.A. HPLC method with monolithic column for simultaneous determination of irbesartan and hydrochlorothiazide in tablets. Acta Pharm. 2014, 64, 187–198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  82. King’Ori, L.D.; Walker, R.B. HPLC method for simultaneous analysis of ranitidine and metronidazole in dosage forms. Asian J. Chem. 2014, 26, 426–430. [Google Scholar] [CrossRef]
  83. Patel, J.K.; Patel, N.K. Stability-Indicating RP-HPLC Method for the Determination of Ambrisentan and Tadalafil in Pharmaceutical Dosage Form. Sci. Pharm. 2014, 82, 749–764. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Gawande, V.T.; Miniyar, P.B.; Bhandari, D.D.; Ghag, M.K.; Rajput, D.B.; Mahajan, A.A. Simultaneous Estimation of Quinapril Hydrochloride and Hydrochlorothiazide from Pharmaceutical Formulation by Using UV, IR and RP-HPLC. Asian J. Chem. 2014, 26, 3799–3804. [Google Scholar] [CrossRef]
  85. Hassan, E.M.; Jamal, M.K.E.; Sayed, M. Validated stability indicating HPLC-DAD method for the simultaneous determination of amlodipine besylate and OlmesartanMedoxomil in mixture. Int. J. Pharm. Pharm. Sci. 2014, 6, 211–214. [Google Scholar]
  86. Kumar, D.; Babu, M.N.; Rao, J.; Rao, V. Simultaneous determination of lamivudine, zidovudine and nevirapine in tablet dosage form by RP-HPLC method. RJC 2010, 3, 94–99. [Google Scholar]
  87. Sversut, R.S.; do Amaral, M.S.; de Moraes Baroni, A.S.; Rodrigues, P.O.; Rosa, A.M.; Galana Gerlin, M.C.; Singh, A.K.; Kassab, N.M. Stability-indicating HPLC-DAD method for the simultaneous determination of fluoroquinolones and corticosteroids in ophthalmic formulations. Anal. Method 2014, 6, 2125–2133. [Google Scholar] [CrossRef]
  88. Nasare, M.K.; Satish, J.; Amrohi, S.H.; Harshini, S.; Kumar, M.; Diwan, P.V. Simultaneous determination of finasteride and tamsulosin in combined dosage form by using RP-HPLC method. J. Liq. Chromatogr. Relat. Technol. 2014, 37, 1176–1186. [Google Scholar] [CrossRef]
  89. Qin, C.; He, W.; Zhu, C.; Wu, M.; Jin, Z.; Zhang, Q.; Wang, G.; Yin, L. Controlled release of metformin hydrochloride and repaglinide from sandwiched osmotic pump tablet. Int. J. Pharm. 2014, 466, 276–285. [Google Scholar] [CrossRef] [PubMed]
  90. Koyuturk, S.; Can, O.N.; Atkosar, Z.; Arli, G. A novel diluite and shoot HPLC assay method for quantification of irbesartan and hydrochlorthiazide in combination tablets and urine using second generation C18-bonded monolithic silica column with double gradient elution. J. Pharm. Biomed. Anal. 2014, 97, 103–110. [Google Scholar] [CrossRef] [PubMed]
  91. Bapatu, H.R.; Maram, R.K.; Murthy, R.S. Stability-indicating HPLC method for quantification of celecoxib and diacerein along with its impurities in capsules dosage form. J. Chromatogr. Sci. 2015, 53, 144–153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Agrawal, P.; Vegda, R.; Laddha, K. Simultaneous Estimation of Withaferin A and Z-Guggulsterone in marketed formulation by RP-HPLC. J. Chromatogr. Sci. 2015, 53, 940–944. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Hashem, H.; Ehab, I.A.; Magda, E. A novel stability indicating HPLC-method for simultaneous determination of atenolol and nifedipie in presence of atenolol pharmacopeoial impurities. J. Appl. Pharm. Sci. 2015, 5, 17–25. [Google Scholar] [CrossRef] [Green Version]
  94. Zaid, A.N.; Qaddomi, A.; Ghanem, M.; Shehadeh, L.; Abualhasan, M.; Natur, S.; Khammash, S. Development of a dissolution method to compare tablet formulations containing valsartan/amlodipine. Dissolut. Technol. 2015, 22, 32–38. [Google Scholar] [CrossRef]
  95. Bodapati, K.; Vaidya, J.R.; Siddiraju, S.; Gowrisankar, D. Stability indicating RP-HPLC studies for the estimation of irbesartan and amlodipine besylate in pharmaceutical formulations and characterization of degradants using LC-MS. J. Liq. Chromatogr. Relat. Technol. 2014, 38, 259–270. [Google Scholar] [CrossRef]
  96. Altaf, H.; Ashraf, M.; Hayat, M.M.; Hussain, A.; Shahzad, N.; Ahmad, B.M.; Rahman, J. HPLC method for simultaneous determination of entecavir and tenofovir in human spiked plasma and pharmaceutical dosage forms. Lat. Am. J. Pharm. 2015, 34, 449–455. [Google Scholar]
  97. Chen, Y.C.; Tsai, P.J.; Huang, Y.B.; Wu, P.C. Optimization and validation of high-performance chromatographic condition for simultaneous determination of adapalene and benzoyl peroxide by response surface methodology. PLoS ONE 2015, 10, e01230171. [Google Scholar] [CrossRef]
  98. Mowaka, S.; Ayoub, B.M. Comparative study between UHPLC-UV and UPLC-MS/MS methods for determination of alogliptin and metformin in their pharmaceutical combination. Pharmazie 2017, 72, 67–72. [Google Scholar] [CrossRef]
  99. Kalid, A.M.A.; El-Abasawi, N.M.; El- Olemy, E.A.; Abdelazim, A.H.; El- Dosoky, M. Simultaneous determination of Elbasvir and Grazoprevir in their pharmaceutical preparation using High-Performance Liquid Chromatographic method. J. Chromatogr. Sci. 2018, 56, 731–737. [Google Scholar] [CrossRef]
  100. Abdel-Gawad, S.A.; El-Gamal, R.M. Simultaneous determination of naltrexone and bupropion in their co-formulated tablet utilizing green chromatographic approach with application to human urine. Saudi Pharm. J. 2018, 26, 169–176. [Google Scholar] [CrossRef]
  101. Moustapha, M.E.; El-Gamal, R.M.; Belal, F.F. Two novel UPLC methods utilizing two different analytical columns and different detection approaches for the simultaneous analysis of velpatasvir and sofosbuvir: Application to their co-formulated tablet. BMC Chem. 2019, 13, 118–133. [Google Scholar] [CrossRef] [PubMed]
  102. Walash, M.I.; El-Enany, N.; Eid, M.I.; Fathy, M. Simultaneous determination of metolazone and spironolactone in raw materials, combined tablets and human urine by high performance liquid chromatography. Anal. Methods 2013, 5, 5644–5656. [Google Scholar] [CrossRef]
  103. Benijts, T.; Dams, R.; Lambert, W.; De Leenheer, A. Countering matrix effects in environmental liquid chromatography–electrospray ionization tandem mass spectrometry water analysis for endocrine disrupting chemicals. J. Chromatogr. A 2004, 1029, 153–159. [Google Scholar] [CrossRef]
  104. Tang, L.; Kebarle, P. Dependence of ion intensity in electrospray mass spectrometry on the concentration of the analytes in the electrosprayed solution. Anal. Chem. 1993, 65, 3654–3668. [Google Scholar] [CrossRef]
  105. Chambers, E.; Wagrowski-Diehl, D.M.; Ziling, L.; Mazzeo, J.R. Systematic and comprehensive strategy for reducing matrix effects in LC/MS/MS analyses. J. Chromatogr. B 2007, 852, 22–34. [Google Scholar] [CrossRef] [PubMed]
  106. Hernando, M.D.; Suarez-Barcena, J.M.; Bueno, M.J.M.; Garcia-Reyes, J.F.; Fernandez-Alba, A.R. Fast separation liquid chromatography–tandem mass spectrometry for the confirmation and quantitative analysis of avermectin residues in food. J. Chromatogr. A 2007, 1155, 62–73. [Google Scholar] [CrossRef] [PubMed]
  107. Hernandez, F.; Sancho, J.V.; Pozo, O.J. Critical review of the application of liquid chromatography/mass spectrometry to the determination of pesticide residues in biological samples. Anal. Bioanal. Chem. 2005, 382, 934–946. [Google Scholar] [CrossRef] [PubMed]
  108. Baranwal, G.J.; Upadhyay, S.; Tripathi, A.C.; Saraf, S.K. Stability indicating RP-HPLC method for simultaneous estimation of anti-diabetic and anti-hypertensive drugs. Rasayan J. Chem. 2015, 8, 287–297. [Google Scholar]
  109. Madhukar, A.; Kannappan, N.; Mahendra Kumar, C.B. Analytical method development and validation for the determination of hydrochlorothiazide, Amlodipine besylate and telmisartan hydrochloride in multicomponent tablet dosage form and in biorelevant media (FaSSIF) by RP-HPLC techniques. Int. J. Pharm. Pharm. Sci. 2015, 7, 218–225. [Google Scholar]
  110. Sultan, F.; Shoaib, M.H.; Yousuf, R.I.; Ahmed, F.R.; Salam, F.A.; Nasiri, M.I.; Khan, M.A.; Manzoor, S. Simultaneous quantitation of aspirin, amlodipine and simvastatin in a fixed dose combination of encapsulated tablet formulation by HPLC-UV method. Pak. J. Pharm. Sci. 2014, 27, 1553–1558. [Google Scholar]
  111. Jayapalu, K.; Malipeddi, H.; Chinnasamy, A. Chromatographic separation and in vitro dissolution assessment of tenofovir disoproxil fumarate, emtricitabine and nevirapine in a fixed dose combination of Antiretrovirals. J. Appl. Pharm. Sci. 2014, 4, 76–80. [Google Scholar] [CrossRef] [Green Version]
  112. Nashwahgadallah, M. Validated HPLC method for simultaneous determination of sitagliptin, metformine and atorvastatin in pure form and in pharmaceutical formulations. Int. J. Pharm. Pharm. Sci. 2014, 6, 665–670. [Google Scholar]
  113. Vaher, M.; Kaljurand, M. The development of paper microzone-based green analytical chemistry methods for determining the quality of wines. Anal. Bioanal. Chem. 2012, 404, 627–633. [Google Scholar] [CrossRef] [PubMed]
  114. Jain, D.; Kachave, R.N.; Bhadane, R.N. Simultaneous estimation of tramadol hydrochloride, paracetamol and domperidone by RP-HPLC in tablet formulation. J. Liq. Chromatogr. Relat. Technol. 2010, 33, 786–792. [Google Scholar] [CrossRef]
  115. Janardhanan, V.S.; Manavalan, R.; Valliappan, K. Stability-indicating HPLC method for the simultaneous determination of pantoprazole, rabeprazole, lansoprazole and domperidone from their combination dosage forms. Int. J. Drug Dev. Res. 2011, 3, 323–335. [Google Scholar]
  116. Chen, F.; Wang, L.; Guo, J.; Shi, X.; Fang, B. Simultaneous Determination of Dexamethasone, Ondansetron, Granisetron, Tropisetron, and Azasetron in Infusion Samples by HPLC with DAD Detection. J. Anal. Methods Chem. 2017, 9, 1–7. [Google Scholar] [CrossRef]
  117. Locatelli, M.; Cifelli, R.; Carlucci, G.; Romagnoli, A. Stability study of Prulifloxacin and Ulifloxacin in human plasma by HPLC-DAD. J. Enzyme Inhib. Med. Chem. 2016, 31, 106–111. [Google Scholar] [CrossRef]
  118. Carlucci, G.; Selvaggi, F.; Sulpizio, F.; Bassi, C.; Carlucci, M.; Cotellese, R.; Ferrone, V.; Innocenti, P.; Locatelli, M. Combined derivatization and high performance liquid chromatography with fluorescence and ultraviolet detection for simultaneous analysis of octreotide and gabexate mesylate metabolite in human pancreatic samples. Biomed. Chromatogr. 2015, 29, 911–917. [Google Scholar] [CrossRef]
  119. Sivakumar, T.; Manavalan, R.; Valliappan, K. Computer-assisted optimization of liquid-liquid extraction for HPLC analysis of domperidone and pantoprazole in human plasma. Acta Chromatogr. 2008, 20, 549–562. [Google Scholar] [CrossRef]
  120. Sultana, N.; Arayne, M.S.; Shafi, N.; Naz, A.; Naz, S.; Shamshad, H. A RP-HPLC method for the simultaneous determination of diltiazem and quinolones in bulk, formulations and human serum. J. Chil. Chem. Soc. 2009, 54, 358–362. [Google Scholar] [CrossRef] [Green Version]
  121. Sree Janardhanan, V.; Manavalan, R.; Valliappan, K. HPLC method for the simultaneous determination of proton-pump inhibitors with domperidone in human plasma employing response surface design. Int. J. Pharm. Pharm. Sci. 2012, 4, 309–317. [Google Scholar]
  122. Mohamed, A.M.I.; Mohammed, H.A.W.; Mousa, H.S. Simultaneous determination of dorzolomide and timolol in acqueous humor: A novel salting out liquid-liquid microextraction combined with HPLC. Talanta 2014, 130, 495–505. [Google Scholar] [CrossRef] [PubMed]
  123. Patel, H.; Rathod, R.; Dash, P.R.; Nivsakar, M. Simultaneous quantification of rosuvastatin and fenofibric acid by HPLC-UV in rat plasma and its application to pharmacokinetic study. J. Liq. Chromatogr. Relat. Technol. 2014, 37, 1673–1684. [Google Scholar] [CrossRef]
  124. Xu, J.H.; Song, J.G.; Li, Y.X. Effects of combination of amlodipine and valsartan on in vivo pharmacokinetics of valsartan in rats. J. Chin. Pharm. 2014, 49, 1243–1246. [Google Scholar] [CrossRef]
  125. Abdelhameed, A.S.; Afifi, S.A. A validated HPLC-DAD method for simultaneous determination of etodolac and pantoprazole in rat plasma. J. Chem. 2014, 8, 719801. [Google Scholar] [CrossRef] [Green Version]
  126. Ceballos, L.; Elissondo, C.; Sanchèz, B.S.; Denegri, G.; Lanusse, C.; Alvarez, L. Combined flubendazole-nitazoxanide treatment of cystic echinococcosis: Pharmacokinetic and efficacy assessment in mice. Acta Trop. 2015, 148, 89–96. [Google Scholar] [CrossRef]
  127. Ahmed, S.; Atia, N.N. Simultaneous determination of triple therapy for Helicobacter pilori in human plasma by reversed phase chromatography with online wavelength switching. Spectrochim. Acta A 2015, 136, 1380–1387. [Google Scholar] [CrossRef]
  128. Kasperek, R.; Zimmer, L.; Jawien, W.; Poleszak, E. Pharmacokinetics of diclofenac sodium and papaverine hydrochloride after oral administration of tablets to rabbit. Pharm. Technol. 2015, 72, 527–538. [Google Scholar]
  129. Ma, J.; Zhang, J.; Yang, T.; Fan, K.; Gu, J.; Yin, G. Pharmacokinetics of Dexamethasone and Nefopam Administered Alone or in combination using newly developed prefilled multi-drug injector in Rats. Pharmacology 2014, 93, 220–224. [Google Scholar] [CrossRef]
  130. Joseph, S.; Menon, S. Simultaneous determination of methotrexate and sulfasalazine in plasma using an agilent 1290 Infinity LC System. Agilent Technol. 2015, 1–8. [Google Scholar]
  131. Petruczynik, A.; Wroblewski, K.; Szultka-mlynska, M.; Buszewski, B.; Karakula-Juchnowicz, H.; Gajewski, J.; Morylowska-Topolska, J.; Waksmundzka-Hajnos, M. Determination of Venlafaxine, Vilazodone and their main active metabolites in human serum by HPLC-DAD and HPLC-MS. Acta Pol. Pharm. 2017, 74, 765–775. [Google Scholar] [PubMed]
  132. Ferrone, V.; Cotellese, R.; Carlucci, M.; Di Marco, L.; Carlucci, G. Air assisted dispersive liquid-liquid microextraction with solidification of the floating organic droplets (AA-DLLME-SFO) and UHPLC-PDA method: Application to antibiotics analysis in human plasma of hospital acquired pneumonia patients. J. Pharm. Biomed. Anal. 2018, 151, 266–273. [Google Scholar] [CrossRef] [PubMed]
  133. Sebaiy, M.M.; Hassan, W.S.; Elhennawy, M.E. Developing a High-Performance Liquid Chromatography (HPLC) Method for simultaneous determination of oxytetracycline, tinidazole and esomeprazole in human plasma. J. Chromatogr. Sci. 2019, 57, 724–729. [Google Scholar] [CrossRef] [PubMed]
  134. Bose, A.; Bhaumik, U.; Ghosh, A.; Chatterjee, B.; Chakrabarty, U.S.; Sarkar, A.K.; Pal, T.K. LC-MS simultaneous determination of itopride hydrochloride and domperidone in human plasma. Chromatographia 2009, 69, 1233–1241. [Google Scholar] [CrossRef]
  135. Lohar, P.; Sharma, M.K.; Sahu, A.K.; Rathod, R.; Sengupta, P. Simultaneous bioanalysis and pharmacokinetic interaction study of acebrophylline, levocetirizine and pranlukast in Sprague–Dawley rats. Biomed. Chromatogr. 2019, 33, 4672–4682. [Google Scholar] [CrossRef]
  136. Ferrone, V.; Todaro, S.; Carlucci, M.; Fontana, A.; Ventrella, A.; Carlucci, G.; Milanetti, E. Optimization by response surface methodology of a dispersive magnetic solid phase extraction exploiting magnetic graphene nanocomposite coupled with UHPLC-PDA for simultaneous determination of new oral anticoagulants (NAOs) in human plasma. J. Pharm. Biomed. Anal. 2019, 179, 112992. [Google Scholar] [CrossRef]
  137. Dahshan, H.E.; Helal, M.H.; Mostafa, S.M.; Elgawish, M.S. Development and validation of an HPLC-UV method for simultaneous determination of sildenafil and tramadol in biological fluids: Application to drug-drug interaction study. J. Pharm. Biomed. Anal. 2019, 168, 201–208. [Google Scholar] [CrossRef]
  138. Tartaglia, A.; Kabir, A.; D’Ambrosio, F.; Ramundo, P.; Ulusoy, S.; Ulusoy, H.I.; Merone, G.M.; Savini, F.; D’Ovidio, C.; De Grazia, U.; et al. Fast off-line FPSE-HPLC-PDA determination of six NSAIDs in saliva samples. J. Chromatogr B 2020, 1144, 122082. [Google Scholar] [CrossRef]
  139. Locatelli, M.; Tartaglia, A.; D’Ambrosio, F.; Ramundo, P.; Ulusoy, H.I.; Furton, K.G.; Kabir, A. Biofluid sampler: A new gateway for mail-in-analysis of whole blood samples. J. Chromatogr B 2020, 1143, 122055. [Google Scholar] [CrossRef]
  140. Locatelli, M.; Tinari, N.; Grassadonia, A.; Tartaglia, A.; Macerola, D.; Piccolantonio, S.; Sperandio, E.; D’Ovidio, C.; Carradori, S.; Ulusoy, H.I.; et al. FPSE-HPLC-DAD method for the quantification of anticancer drugs in human whole blood, plasma and urine. J. Chromatogr B 2018, 1095, 204–213. [Google Scholar] [CrossRef]
  141. Qiu, X.; Wang, Z.; Wang, B.; Zhan, H.; Pan, X.; Xu, R. Simultaneous determination of irbesartan and hydrochlorthiazide in human plasma by ultra-high-performance liquid chromatography tandem mass spectrometry and its application to a bioequivalence study. J. Chromatogr. B 2014, 957, 110–115. [Google Scholar] [CrossRef] [PubMed]
  142. Ma, W.; Wang, J.; Guo, Q.; Tu, P. Simultaneous determination of doxorubicin and curcumin in rat plasma by LC-MS/MS and its application to pharmacokinetic study. J. Pharm. Biomed. Anal. 2015, 111, 215–221. [Google Scholar] [CrossRef]
  143. Notari, S.; Tempestilli, M.; Fabbri, G.; Libertone, R.; Antinori, A.; Ammassari, A.; Agrati, C. UPLC–MS/MS method for the simultaneous quantification of sofosbuvir, sofosbuvir metabolite (GS-331007) and daclatasvir in plasma of HIV/HCV co-infected patients. J. Chromatogr. B 2018, 1073, 183–190. [Google Scholar] [CrossRef] [PubMed]
  144. Buhagiar, L.M.; Sammut, C.; Chircop, Y.; Axisa, K.; Sammut Bartolo, N.; Szijj, J.V.; Inglott, A.S.; LaFerla, G. Pratical liquid chromatography-tandem mass spectrometry method for the simultaneous quantification of amitriptyline, nortriptyline and their hydroxy metabolites in human serum. Biomed. Chromatogr. 2019, 33, 4679–4688. [Google Scholar] [CrossRef]
  145. Di Francesco, M.; Primavera, R.; Fiorito, S.; Cristiano, M.C.; Taddeo, V.A.; Epifano, F.; Di Marzio, L.; Genovese, S.; Celia, C. Acronychiabaueri Analogue Derivative-Loaded Ultradeformable Vesicles: Physicochemical Characterization and Potential Applications. Planta Med. 2017, 83, 482–491. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Cilurzo, F.; Cristiano, M.C.; Di Marzio, L.; Cosco, D.; Carafa, M.; Ventura, C.A.; Fresta, M.; Paolino, D. Influence of the Supramolecular Micro-Assembly of Multiple Emulsions on their Biopharmaceutical Features and In vivo Therapeutic Response. Curr. Drug Targets 2015, 16, 1612–1622. [Google Scholar] [CrossRef]
  147. Critello, C.D.; Fiorillo, A.S.; Cristiano, M.C.; de Franciscis, S.; Serra, R. Effects of sulodexide on stability of sclerosing foams. Phlebology 2019, 34, 191–200. [Google Scholar] [CrossRef]
  148. Chaves, L.L.; Silveri, A.; Vieira, A.C.C.; Ferreira, D.; Cristiano, M.C.; Paolino, D.; Di Marzio, L.; Lima, S.C.; Reis, S.; Sarmento, B.; et al. pH-responsive chitosan based hydrogels affect the release of dapsone: Design, set-up, and physicochemical characterization. Int. J. Biol. Macromol. 2019, 133, 1268–1279. [Google Scholar] [CrossRef]
Table 1. High performance liquid chromatography (HPLC) procedures developed and validated for binary drug-association co-formulations analyses in tablets.
Table 1. High performance liquid chromatography (HPLC) procedures developed and validated for binary drug-association co-formulations analyses in tablets.
DrugsInstrumentationRef.
Domperidone/pantoprazoleHPLC-UV-Vis[54]
Omeprazole/domperidoneHPLC-UV-Vis[57]
Rabeprazole sodium/domperidoneHPLC-UV-Vis[60]
Pantoprazole/domperidoneHPLC-UV-Vis[62]
Rosiglitazone/glimepirideRP-HPLC-UV-Vis[64]
Ilaprazole/domperidoneHPLC-UV-Vis[39]
Domperidone/lafutidineHPLC-UV-Vis[43]
Famotidine/domperidoneHPLC-UV-Vis[44]
Prulifloxacin/impuritiesHPLC-PDA[52]
Valsartan/amlodipineHPLC-MS/MS[67]
Amlodipine/aliskrenHPLC-UV-Vis[68]
Metformin/vildagliptinHPLC-UV-Vis[69]
Valsartan/ezetimibeHPLC-UV-Vis[70]
Amlodipine/atorvastatinHPLC-UV-Vis[71]
Atorvastatin calcium/pioglitazone hydrochlorHPLC-PDA[72]
Rabeprazole sodium/domperidoneHPLC-FLD[59]
Metformin/gliclazideHPLC-UV-Vis[78]
Gliclazide/enalapril maleateHPLC-UV-Vis[79]
Artemether/lumefantrineHPLC-UV-Vis[80]
Irbesartan/hydrochlorothiazideHPLC-UV-Vis[81]
Ranitidine/metronidazoleHPLC-UV-Vis[82]
Ambrisentan/tadalafilHPLC-UV-Vis[83]
Quinapril hydrochlor/hydrochlorothiazideHPLC-UV-Vis[84]
Amlodipine besylate/Olmesartan MedoxomilHPLC-PDA[85]
Nevirapine zidovudine/lamivudineRP-HPLC[86]
Metformin hydrochlor/repaglinideHPLC-MS/MS[89]
Irbesartan/hydrochlorothiazideHPLC-UV-Vis[90]
Valsartan/amlodipineHPLC-UV-Vis[94]
Irbesartan/amlodipine besylateHPLC-MS/MS[95]
Entecavir/tenofovirHPLC-UV-Vis[96]
Adapalene/benzoyl peroxideHPLC-UV-Vis[97]
Alogliptin/metforminUPLC-MS/MS[98]
Elbasvir/GrazoprevirHPLC-UV-Vis[99]
Naltrexone/bupropionHPLC-UV-Vis[100]
Velpatasvir/sofosbuvirUPLC-PDA[101]
Metolazone/spironolactoneRP-HPLC-UV-Vis[102]
Table 2. HPLC procedures developed and validated for binary drug-association co-formulation analyses in capsules.
Table 2. HPLC procedures developed and validated for binary drug-association co-formulation analyses in capsules.
DrugsInstrumentationRef.
Domperidone/omeprazoleHPLC-UV-Vis[55]
Omeprazole/domperidoneHPLC-UV-Vis[36]
Cinitapride/omeprazoleHPLC-UV-Vis[45]
Esomeprazole/levosulpirideHPLC-UV-Vis[41]
Cinnarizine/piracetamHPLC-UV-Vis[51]
Omeprazole/domperidoneRP-HPLC[65]
Celecoxib/DiacereinHPLC-UV-Vis[91]
Table 3. HPLC procedures developed and validated for binary drug-association co-formulation analyses in mixtures or other formulations.
Table 3. HPLC procedures developed and validated for binary drug-association co-formulation analyses in mixtures or other formulations.
DrugsInstrumentationRef.
Cinnarizine/domperidoneHPLC-UV-Vis[56]
Domperidone/pantoprazoleHPLC-UV-Vis[58]
Rabeprazole/domperidoneHPLC-UV-Vis[59]
Pantoprazole/domperidoneHPLC-UV-Vis[61]
Domperidone/sorbic acid/propylparabenHPLC-UV-Vis[63]
Domperidone/rabeprazoleHPLC-UV-Vis[40]
Domperidone/rabeprazoleHPLC-UV-Vis[47]
Domperidone/ilaprazoleHPLC-PDA[48]
Rosuvastatin/ezetimibeHPLC-PDA[66]
Metformin Hydrochloride and TelmisartanRP-HPLC[73]
Clindamycin/adapaleneHPLC-UV-Vis[74]
Rosuvastatin/amlodipineHPLC-UV-Vis[75]
Fluticasone propionate/salmeterol xinafoteHPLC-UV-Vis[76]
Gemcitabine/curcuminHPLC-UV-Vis[77]
Gatifloxacin/prednisolone acetateHPLC-UV-Vis[87]
Finasteride/tamsulosinHPLC-UV-Vis[88]
Withaferin a/Z-GuggulsteroneHPLC-UV-Vis[92]
Atenolol/nifedipineHPLC-UV-Vis[93]
Table 4. Analytical procedures developed and validated for multidrug (n ≥ 3)-association co-formulation analyses in tablets.
Table 4. Analytical procedures developed and validated for multidrug (n ≥ 3)-association co-formulation analyses in tablets.
DrugsInstrumentationRef.
Sumatriptan succinate/naproxen/domperidoneHPLC-UV-Vis[50]
Hydrochlorothiazide/Amlodipine besylate/telmisartan hydrochlorideHPLC-UV-Vis[109]
Aspirin/amlodipine/simvastatinHPLC-UV-Vis[110]
Tenofovir disoproxil fumarate/emtricitabine/nevirapineHPLC[111]
Table 5. Analytical procedures developed and validated for multidrug (n ≥ 3)-association co-formulation analyses in mixture or other formulations.
Table 5. Analytical procedures developed and validated for multidrug (n ≥ 3)-association co-formulation analyses in mixture or other formulations.
DrugsInstrumentationRef.
Tramadol hydrochloride/paracetamol/domperidoneHPLC[114]
Pantoprazole/rabeprazole/lansoprazole/domperidoneHPLC-UV-Vis[115]
Domperidone/paracetamol/esomeprazole/lansoprazoleHPLC-UV-Vis[49]
Paracetamol/aceclofenac/rabeprazole sodiumHPLC-UV-Vis[42]
Aliskiren hemifumarate/amlodipine besylate/hydrochlorothiazideCE-UV-Vis[38]
Sitagliptin/metformine/atorvastatinHPLC-UV-Vis[112]
Rabeprazole sodium/mosapride citrate rabeprazole sodium/itopride hydrochlorideHPLC-PDA[46]
Losartan potassium/glimepiride/metforminHPLC-UV-Vis[108]
Dexamethasone/ondasetron/granisetron/tropisetron/azasetronHPLC-PDA[116]
Table 6. Analytical procedures developed and validated for drug-association analyses in plasma.
Table 6. Analytical procedures developed and validated for drug-association analyses in plasma.
DrugsInstrumentationRef.
Domperidone/pantoprazoleHPLC-UV-Vis[119]
Proton-pump inhibitors/domperidoneHPLC-UV-Vis[122]
Rosuvastatin/fenofibric acidHPLC-UV-Vis[123]
Amlodipine/valsartanHPLC-UV-Vis[124]
Metformin/vildagliptinHPLC-UV-Vis[69]
Etodolac/pantoprazoleHPLC-PDA[125]
Furprofen/indoprofen/ketoprofen/fenbufen/
flurbiprofen/indomethacin/ibuprofen
HPLC- PDA[2]
Eperisone chloride/paracetamolHPLC- PDA[3]
Entecavir/tenofovirHPLC-UV-Vis[96]
Flubendazole/nitazoxanideHPLC-UV-Vis[126]
Omeprazole/tinidazole/clarithromycinHPLC-UV-Vis[127]
Diclofenac sodium/papaverine hydrochlor.HPLC[128]
Dexamethasone/nefopamHPLC[129]
Methotrexate/sulfasalazineHPLC- PDA[130]
Prulifloxacin/ulifloxacinHPLC- PDA[117]
Metronidazole/meropenem/ciprofloxacin/linezolid/piperacillinUHPLC-PDA[132]
Oxytetracycline/tinidazole/esomeprazoleHPLC-PDA[133]
Acebrophylline/levocetirizine/pranlukastHPLC-PDA[135]
Apixabam/dabigatran/rivaroxabanUHPLC-PDA[136]
Sildenafil/tramadolHPLC-UV[137]
Doxorubicin/curcuminHPLC-MS/MS[142]
Sofosbuvir/daclatasvirUPLC-MS/MS[143]
Ketoprofen/carprofen/diclofenacHPLC-PDA[139]
Anastrozole/letrozole/exemestaneHPLC-PDA[140]
Table 7. Analytical procedures developed and validated for drug-association analyses in other biologic matrices.
Table 7. Analytical procedures developed and validated for drug-association analyses in other biologic matrices.
DrugsMatrixInstrumentationRef.
Diltiazem/quinoloneshuman serumRP-HPLC-UV-Vis[120]
Dorzolomide/timololaqueous humorHPLC-UV-Vis[122]
Irbesartan/hydrochlorothiazideurineHPLC-UV-Vis[90]
Ciprofloxacin/levofloxacinsalivaHPLC-PDA[1]
Octreotide/gabexate mesylate metabolitepancreatic juiceHPLC-PDA-FLD[118]
Venlafaxine/vilazodonehuman serumHPLC-PDA[131]
Amitriptyline/nortriptyline and their hydroxy metaboliteshuman serumLC-MS/MS[144]
Anastrozole/letrozole/exemestaneWhole bloodHPLC-PDA[140]
Furprofen/indoprofen/ketoprofen/fenbufen/flurbiprofen/ibuprofensalivaHPLC-PDA[138]
Ketoprofen/carprofen/diclofenacwhole bloodHPLC-PDA[139]

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Celia, C.; Di Marzio, L.; Locatelli, M.; Ramundo, P.; D’Ambrosio, F.; Tartaglia, A. Current Trends in Simultaneous Determination of Co-Administered Drugs. Separations 2020, 7, 29. https://doi.org/10.3390/separations7020029

AMA Style

Celia C, Di Marzio L, Locatelli M, Ramundo P, D’Ambrosio F, Tartaglia A. Current Trends in Simultaneous Determination of Co-Administered Drugs. Separations. 2020; 7(2):29. https://doi.org/10.3390/separations7020029

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Celia, Christian, Luisa Di Marzio, Marcello Locatelli, Piera Ramundo, Francesca D’Ambrosio, and Angela Tartaglia. 2020. "Current Trends in Simultaneous Determination of Co-Administered Drugs" Separations 7, no. 2: 29. https://doi.org/10.3390/separations7020029

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