Green innovation in analytical chemistry: A sustainable densitometric HPTLC approach for the distinctive separation and quantification of structurally related abused drugs - tramadol, tapentadol, and venlafaxine - in seized pharmaceutical dosage forms.

An innovative ecofriendly high-performance thin layer chromatographic (HPTLC) method with spectrophotometric detection for simultaneous determination of Tramadol (TMD), Tapentadol (TAP), and Venlafaxine (VEN) in seized dosage forms was presented. Our method was conducted to achieve separation following the optimal conditions: pre-coated silica gel plates using a green mobile phase (heptane: acetone: ammonia, 7:3:0.5 v/v), with absorbance scanning at 272 nm. The validation of the method was done following International Conference on Harmonization (ICH) guidelines, demonstrates linearity, accuracy, precision, selectivity, robustness, and system suitability. Separation was achieved with a detection limit of 0.34, 0.16, and 0.084 (ug/band) for TMD, TAP, and VEN, respectively, the method successfully analyzes seized samples. Trueness is confirmed through a high degree of similarity between HPTLC and gas chromatography results. The study's ecofriendly approach, simplicity, and selectivity position it as a promising method for efficient, on-site monitoring of seized samples.

Chromatographic Separation and Quantitation of Sphingolipids from the Central Nervous System or Any Other Biological Tissue.

Chromatographic separation and purification of an individual lipid to homogeneity have long been introduced. Using this concept, a more precise method has been developed to identify and characterize the sphingolipid composition(s) using a small amount (30 mg) of biological sample. Sphingolipids (lipids containing sphingosine or dihydrosphingosine) are well-known regulators of the central nervous system development and play a critical role in neurodegenerative diseases. Introducing a silicic acid column chromatography, sphingolipid components have been separated to individual fractions such as ceramide, glucosyl/galactosylceramide, other neutral and acidic glycosphingolipids, including (dihydro)sphingosine and psychosine; as well as phospholipids from which individual components are quantified employing a single or combination of other advanced chromatography procedures such as thin-layer chromatography, gas chromatography-mass spectrometry, and high-performance liquid chromatography-mass spectrometry.

Development of a high-performance thin-layer chromatography-based method for targeted glycerolipidome profiling of microalgae.

The conditionally essential very-long-chain polyunsaturated fatty acids (VLC-PUFAs), such as eicosapentaenoic acid (EPA, C20:5 n-3), play a vital role in human nutrition. Their biological activity is thereby greatly influenced by the distinct glycerolipid molecule that they are esterified to. Here, microalgae differ from the conventional source, fish oil, both in quantity and distribution of VLC-PUFAs among the glycerolipidome. Therefore, the aim of this study was to develop a fast and reliable one-dimensional high-performance thin-layer chromatography (HPTLC)-based method that allows the separation and quantification of the main microalgal glycerolipid classes (e.g., monogalactosyldiacylglycerol (MGDG), sulfoquinovosyl diacylglycerol (SQDG), phosphatidylglycerol (PG)), as well as the subsequent analysis of their respective fatty acid distribution via gas chromatography (GC) coupled to mass spectrometry (MS). Following optimization, method validation was carried out for 13 different lipid classes, based on the International Conference on Harmonization (ICH) guidelines. In HPTLC, linearity was effective between 100 and 2100 ng, with a limit of quantification between 62.99 and 90.09 ng depending on the glycerolipid class, with strong correlation coefficients (R2 > 0.995). The recovery varied between 93.17 and 108.12%, while the inter-day precision measurements showed coefficients of variation of less than 8.85%, close to the limit of detection. Applying this method to crude lipid extracts of four EPA producing microalgae of commercial interest, the content of different glycerolipid classes was assessed together with the respective FA distribution subsequent to band elution. The results showed that the described precise and accurate HPTLC method offers the possibility to be used routinely to follow variations in the glycerolipid class levels throughout strain screening, cultivation, or bioprocessing. Thus, additional quantitative analytical information on the complex lipidome of microalgae can be obtained, especially for n-3 and n-6 enriched lipid fractions.

Densitometric method for assessment of six specialized metabolites in four Sida sp. and its congener Abutilon indicum: Targeted metabolomics, greenness assessment, and chemometrics analysis.

Sida is one of the most diverse genera, with about 200 species distributed in tropical and subtropical regions of the world. Among 18 species distributed in India, Sida acuta, Sida cordifolia, Sida rhombifolia, and Sida cordata are used in traditional medicines along with its possible adulterant Abutilon indicum for several therapeutic uses. The non-availability of marker-based validated methods for the identification and classification of these species leads to adulteration. Indoloquinoline and quinazoline are the major bioactive alkaloids distributed in Sida spp. First time, a simple, economical and high throughput method was developed and validated for the simultaneous determination of 20-hydroxyecdysone (1), vasicine (2), vasicinone (3), cryptolepine (4), quindolinone (5), and cryptolepinone (6) using HPTLC-UV densitometry. The method was validated to meet globally accepted ICH guidelines. The method was sensitive with LOD and LOQ ranging from 0.38-0.63 and 1.57-2.12 µg/band. The samples were spiked at 3 different concentrations, the recovery values were 93.49-98.88%. In addition, the greenness index of the HPTLC method was estimated using four different greenness assessment techniques. Targeted HPTLC analysis indicated the distribution of specialized metabolites in Sida spp. and A. indicum. However, the occurrence of cryptolepine in A. indicum was not reported in the literature, so this was further confirmed by liquid chromatographic studies of the samples from different locations. The chromatographic data was statistically evaluated by principal component analysis (PCA) and hierarchical clustering (HCA). HPTLC-based targeted metabolite quantitation explains the adulteration/substitution in Sida raw material and derived herbal preparations.

Towards non-target proactive food safety: identification of active compounds in convenience tomato products by ten-dimensional hyphenation with integrated simulated gastrointestinal digestion.

Current strategies for non-target food screening focus mainly on known hazardous chemicals (adulterants, residues, contaminants, packaging migrants, etc.) instead of bioactive constituents in general and exclude the biological effect detection. To widen the perspective, a more proactive non-target effect-directed strategy is introduced to complement food safety in order to detect not only known but also unknown bioactive compounds. The developed 10-dimensional hyphenation included on-surface digestion (1D), planar chromatographic separation (2D), visualization using white light (3D), UV light (4D), fluorescence light (5D), effect-directed assay analysis (6D), heart-cut zone elution to an orthogonal reversed phase column chromatography including online desalting (7D) with subsequent diode array detection (8D), high-resolution mass spectrometry (9D), and fragmentation (10D). Metabolism, i.e., intestinal digestion of each sample, was simulated and integrated on the same adsorbent surface to study any changes in the compound profiles. As proof of principle, nine convenience tomato products and a freshly prepared tomato soup were screened via five different planar assays in a non-targeted mode. Non-digested and digested samples were compared side by side. In their effect-directed profiles, 14 bioactive compounds from classes of lipids, plant hormones, spices, and pesticides were identified. In particular, bioactive compounds coming from the lipid class were increased by gastrointestinal digestion, while spices and pesticides remained unaffected. With regard to food safety, the determination of the two dinitrophenol herbicides dinoterb and dinoseb in highly processed tomato products should be given special attention. The hyphenation covered a broad analyte spectrum and showed robust and reliable results.

Derivatization-Based Novel Chromatographic and Spectrophotometric Methods for the Simultaneous Determination of Gymnemic Acid and Resveratrol in Antidiabetic Polyherbal Formulation.

Herbal medicine is widely used for the treatment and prevention of various ailments, highlighting the importance of ensuring its consistency and quality. This research focuses on the simultaneous detection of Gymnemic acid (GYM) and Resveratrol (RES) in an antidiabetic polyherbal formulation as no reported method exists for their simultaneously detection. The objective of this study is to develop and validate novel derivatization-based spectrometric and HPTLC methods for the simultaneous determination of GYM and RES. The spectrophotometric method involved derivatization of GYM with benzoyl chloride, followed by measurement of absorbance at 349 nm an isoabsorptive point. The HPTLC method utilized post derivatization with vanillin-sulfuric acid, and its separation was achieved on pre-coated silica gel 60GF254 using chloroform:methanol:glacial acetic acid (13:4:0.1, v/v/v) as mobile phase and estimated at 575 nm. The developed method exhibits linearity, accuracy, precision, LOD, LOQ, specificity and robustness in accordance with the ICH Q2 (R1) guideline. The percent assay of GYM and RES in the marketed capsule formulation was statistically compared using an unpaired t-test, resulting in a range of 99.51-102.65%. These indicate no significant difference between the proposed method and the marketed formulation. Therefore, both novel methods can be interchangeably used for quality control of GYM and RES in polyherbal formulations.

A validated bioanalytical method for the simultaneous estimation of telmisartan and gallic acid in rat plasma samples by high-performance thin-layer chromatography-mass spectrometry: Application to an oral pharmacokinetic study.

A novel and cost-effective high-performance thin-layer chromatography (HPTLC) method, combined with densitometric quantification, was developed for the biomedical analysis of telmisartan (TEL) and gallic acid (GA). Recent research indicates that when used in combination, these compounds offer improved therapeutic efficacy for the treatment of cardiovascular diseases with reduced side effects. The study focused on the simultaneous quantification and pharmacokinetic analysis of drugs in rat plasma. The separation was conducted using HPTLC silica gel 60 F254 plates with dimensions of 20 × 10 cm and a thickness of 0.2 mm. The mobile phase used for separation consisted of a mixture of ethyl acetate, methanol, chloroform, and acetic acid in the ratio of 4:2:2:0.2 (v/v). GA and TEL were analyzed using ultraviolet detection at specific wavelengths, with GA at 280 nm and TEL at 296 nm. Peak purity was assessed through spectral correlation analysis using Vision CATS software. The method underwent validation following the guidelines of the US Food and Drug Administration (US FDA). Calibration plots demonstrated linearity in the concentration range of 200-1200 ng/spot, with high correlation coefficients (R2 ). The retention factors (Rf ) were 0.67 for TEL and 0.60 for GA. The identity of the separated compounds was further confirmed using MS, with GA having a mass-to-charge ratio (m/z) of 168.9 in negative mode and TEL with m/z 515.2 in positive mode. In the pharmacokinetic study, the maximum peak plasma concentration (Cmax ) for GA was 899.7 ng/mL, and for TEL, it was 1013 ng/mL. The time to reach maximum concentration (Tmax ) was 2 h for GA and 6 h for TEL. This simultaneous qualitative and quantitative determination of the drugs in an oral pharmacokinetic study involving Wistar rats can serve as a valuable tool for future investigations into pharmacokinetic interactions, quality control, and routine analysis of these drugs, both in their pure forms and in novel formulations.

Separation and quantification of azelnidipine and chlorthalidone in a synthetic mixture using optimized HPTLC method.

OBJECTIVES: A simple, accurate, and reliable high-performance thin-layer chromatographic technique has been developed and validated for the simultaneous quantitation of azelnidipine and chlorthalidone in bulk and synthetic mixtures. MATERIAL AND METHODS: The procedure was carried out using a precoated silica gel 60 F254 TLC plate with a mobile phase of chloroform, ethyl acetate, and methanol in the ratio of 6.5:3.5:0.6 (by volume). Thin-layer chromatographic densitometry at 240nm was used to quantify medicines chromatographically. RESULTS: Over concentration ranges of 250.0 to 1000.0ng/band for chlorthalidone and 160.0 to 640.0ng/band for azelnidipine, the high-performance thin-layer chromatography technique was quantitated. This technique produced a tight and well-resolved band at retention factors of 0.67±0.02 and 0.24±0.02 for azelnidipine and chlorthalidone, respectively. Data from a linear regression study calibrating this method revealed a strong linear correlation between the two approaches, with regression coefficients of r2>0.99 for both. According to The International Conference for Harmonization of Technical Requirements for Pharmaceuticals for Human Use requirements, the procedures were validated for precision, robustness, accuracy, and specificity. CONCLUSION: The developed method was also used to simultaneously estimate azelnidipine and chlorthalidone in a synthetic mixture. The results were found to be in exemplary % assay with label claims.

The improvement of routine drug quality control analysis of some antihypertensive drugs using high-performance thin-layer chromatography densitometry method with greenness profile evaluation.

The common antihypertensive drugs are B-blockers and diuretics. For the determination of beta-blocker medicines (bisoprolol fumarate and carvedilol) and diuretic drug (Furosemide), new and accurate chromatographic method has been developed. The separation was achieved using a developing system that includes chloroform:methanol:ethyl acetate:ammonia (6:2:2:0.2 by volume) as a mobile phase and the bands were detected at 240 nm. The concentration ranges were 5-25, 1-7, and 1-3.5 µg/band for bisoprolol fumarate, carvedilol, and furosemide, respectively. This chromatographic approach is the first methodology for simultaneously determining bisoprolol fumarate, carvedilol, and furosemide in their pure forms and in their pharmaceutical dosage forms. The advantages of using known analytical procedures are their simplicity, speed, cost effectiveness, lack of laboriousness, and ability to save time as the three tablets are determined in one step and can be used for routine analysis of the investigated combinations in quality control laboratories. According to International Conference of Harmonization guidelines, the established procedures have been validated, and the results were statistically compared to those obtained by the reported reversed-phase-high-performance liquid chromatography methods using Student's t-test and F-test, with no significant difference between them, indicating that the proposed methods can be used for routine drug quality control analysis.

Bioassay-guided detection, identification and assessment of antibacterial and anti-inflammatory compounds from olive tree flower extracts by high-performance thin-layer chromatography linked to spectroscopy.

Olive trees are one of the most widely cultivated fruit trees in the world. The chemical compositions and biological activities of olive tree fruit and leaves have been extensively researched for their nutritional and health-promoting properties. In contrast, limited data have been reported on olive flowers. The present study aimed to analyse bioactive compounds in olive flower extracts and the effect of fermentation-assisted extraction on phenolic content and antioxidant activity. High-performance thin-layer chromatography (HPTLC) hyphenated with the bioassay-guided detection and spectroscopic identification of bioactive compounds was used for the analysis. Enzymatic and bacterial in situ bioassays were used to detect COX-1 enzyme inhibition and antibacterial activity. Multiple zones of antibacterial activity and one zone of COX-1 inhibition were detected in both, non-fermented and fermented, extracts. A newly developed HPTLC-based experimental protocol was used to measure the high-maximal inhibitory concentrations (IC50) for the assessment of the relative potency of the extracts in inhibiting COX-1 enzyme and antibacterial activity. Strong antibacterial activities detected in zones 4 and 7 were significantly higher in comparison to ampicillin, as confirmed by low IC50 values (IC50 = 57-58 µg in zone 4 and IC50 = 157-167 µg in zone 7) compared to the ampicillin IC50 value (IC50 = 495 µg). The COX-1 inhibition by the extract (IC50 = 76-98 µg) was also strong compared to that of salicylic acid (IC50 = 557 µg). By comparing the locations of the bands to coeluted standards, compounds from detected bioactive bands were tentatively identified. The eluates from bioactive HPTLC zones were further analysed by FTIR NMR, and LC-MS spectroscopy. Multiple zones of antibacterial activity were associated with the presence of triterpenoid acids, while COX-1 inhibition was related to the presence of long-chain fatty acids.

Quantitative monitoring ofloxacin in beef by TLC-SERS combined with machine learning analysis.

Ofloxacin is one kind of quinolone antibiotic drugs, the abuse of ofloxacin in livestock and aquaculture may bring bacterial resistance and healthy problem of people. The illegally feeding cattle with ofloxacin will help it keep health, but the sedimentation of ofloxacin could bring problem in food safety. The accurate, simple and instant monitoring ofloxacin from beef by portable sensor was of vital issue in food quality. A simple and reliable method was proposed for instant and quantitative detecting ofloxacin in beef, in which the thin-layer chromatography (TLC) -surface-enhanced Raman scattering (SERS) spectroscopy was in tandem with machine learning analysis base one principal component analysis-back propagation neural network (PCA-BPNN). The TLC plate was composed with diatomite, that was function as the stationary phase to separate ofloxacin from beef. The real beef juice was directly casted onto the diatomite plate for separating and detecting. The directly monitor ofloxacin from beef was achieved and the sensitivity down to 0.01 ppm. The PCA-BPNN was used as reliable model for quantitative predict the concentration of ofloxacin, that shown superior accuracy compared with the traditional model. The results verify that the diatomite plate TLC-SERS combined with machine-learning analysis is an effective, simple and accurate technique for detecting and quantifying antibiotic drug in meat stuff to improve the food safety.

Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography.

Natural products and their analogues have contributed significantly to treatment options, especially for anti-inflammatory and infectious diseases. Thus, the primary objective of this work was to compare the bioactivity profiles of selected medicinal plants that are historically used in folk medicine to treat inflammation and infections in the body. Chemical HPTLC fingerprinting was used to assess antioxidant, phenolic and flavonoid content, while bioassay-guided HPTLC was used to detect compounds with the highest antibacterial and anti-inflammatory activities. The results of this study showed that green tea leaf, walnut leaf, St. John's wort herb, wild thyme herb, European goldenrod herb, chamomile flower, and immortelle flower extracts were strong radical scavengers. Green tea and nettle extracts were the most active extracts against E. coli, while calendula flower extract showed significant potency against S. aureus. Furthermore, green tea, greater celandine, and fumitory extracts exhibited pronounced potential in suppressing COX-1 activity. The bioactive compounds from the green tea extract, as the most bioactive, were isolated by preparative thin-layer chromatography and characterized with their FTIR spectra. Although earlier studies have related green tea's anti-inflammatory properties to the presence of catechins, particularly epigallocatechin-3-gallate, the FTIR spectrum of the compound from the most intense bioactive zone showed the strongest anti-inflammatory activity can be attributed to amino acids and heterocyclic compounds. As expected, antibacterial activity in extracts was related to fatty acids and monoglycerides.

Identification of variety-specific metabolites of basil by high performance thin layer chromatography-assisted metabolic profiling techniques.

The technological advances of analytical instrumentation and techniques has laid the ground for the rapid expansion of metabolomics or in a wider sense, untargeted analysis applied to life sciences themes. However, the objective of identifying all existing metabolites within organisms remains a daunting challenge. All analytical techniques exhibit varying degrees of sensitivity and versatility for the detection of metabolites and none of the existing analytical platforms can be expected to be ideal for exhaustive chemical profiling. Planar liquid chromatography, and in particular, high performance thin layer chromatography (HPTLC), has been used for chemical profiling of natural products in conjunction with metabolomics. HPTLC has specific advantages which include its ability to generate reliable chemical fingerprinting data and facilitate preparative work for metabolite isolation during later stages of metabolomics analysis. In this study, we investigated the chemical profiles of four commercially available basil cultivars, namely Dolly, Emily, Keira, and Rosie. We used HPTLC as the primary analytical tool for the separation of basil cultivars based on detected metabolites, and then compared the results with those obtained with other analytical platforms. We identified the characteristic marker compounds of each basil cultivar from the HPTLC plates and validated their potential using LC-MS and GC-MS analyses as a metabolomics tool. Firstly, we compared the HPTLC data of the four cultivars, obtained with two systems that used silica gel 60 and two mobile phases composed of toluene-EtOAc (8:2, v/v) and EtOAc-formic acid-acetic acid-water (100:11:11:27, v/v), with 1H NMR data to evaluate their separation power. Despite providing lower resolution and detecting fewer compounds, the HPTLC separation power was comparable, and in some cases even better than that of 1H NMR. Additionally, we investigated the potential of HPTLC as a tool for chemical fingerprinting and demonstrated its suitability for preparative purposes that are essential for identifying metabolites in mixture analysis. Metabolites were easily isolated from sample mixtures, and identified with the assistance of GC-MS, LC-MS, and TLC-densitometry.. Several marker compounds were thus identified, including 2,4 di-tertbutylphenol, palmitic acid, hexadecanamide, 9-octadecenamide, squalene, hentriacontane, methyl 3-(3,5-ditert­butyl­4-hydroxyphenyl)propanoic acid, sagerinic acid, and cyanidin-3-O-sophoroside.

A high throughput method for detection of cyclooxygenase-2 enzyme inhibitors by effect-directed analysis applying high performance thin layer chromatography-bioassay-mass spectrometry.

A high throughput method was developed to detect bioactive molecules with inhibitory activity over cyclooxygenase (COX-2) enzyme applying effect-directed analysis and planar chromatography hyphenated with bioassay and mass spectrometry. The assay was based on the indirect measurement of arachidonic acid transformation into prostaglandin with the colorimetric co-substrate N,N,N',N'-tetramethyl-p-phenylenediamine. Inhibitory zones were observed as colorless bands over a blue background. Using a central composite design the critical factors like substrate concentration, enzyme: substrate ratio, reaction time, and co-substrate concentration were optimized. Optimal conditions were achieved with 0.03 mg/mL of arachidonic acid, 0.15 U/mL of COX-2, and 8.21 mg/mL of chromogenic reagent. Method usefulness was challenged analyzing fresh Chiloe's giant garlic (Allium ampeloprasum L) ethanol: water (8:2 v/v) extract, finding COX-2 inhibitors that were preliminarily identified as the isomers γ-glutamyl-S-allyl-l-cysteine and γ-glutamyl-S-(trans-1-propenyl)-L- cysteine.

Facile extraction of berberine from different plants, separation, and identification by thin-layer chromatography, high-performance liquid chromatography, and biological evaluation against Leishmaniosis.

The extraction of berberine was carried out from Berberis vulgaris, Berberis aquifolium, and Hydrastis canadensis plants using ethanol and water (70:30, v/v). The extracted berberine was characterized by ultraviolet-visible and Fourier-transform infrared spectroscopy. The purity of berberine was ascertained by thin-layer chromatography using n-propanol-formic acid-water (95:1:4) and (90:1:9) solvents. hRf values were in the range of 44-49 with compact spots (diameter 0.2-0.4 cm). HPLC was carried out using ammonium acetate buffer and acetonitrile in gradient mode with Zodiac (4.6 × 150 mm, 3 µm) column. The flow rate was 1.0 mL/min and detection was at 220 nm. The values of separation and resolution factors of the standard and the extracted berberine were in the range of 1.13-1.16 and 1.40-1.71, respectively. A comparison has shown that both thin-layer chromatography and high-performance liquid chromatography (HPLC) methods found applications in different situations and requirements. The extracted berberine samples were used to treat Leishmaniosis and the results showed better activity of berberine in comparison to the standard drug Amphotericin B. Briefly, the reported research is a novel and may be used to extract berberine from plants, separation and identification of berberine by thin layer chromatography and HPLC and to treat Leishmaniosis.

Bioactivity profiles of six baobab fruit pulp powders via planar chromatography hyphenated with effect-directed analysis.

Baobab (Adansonia digitata) fruit pulp has a high nutrient content and has been traditionally used for medicinal purposes (e.g., as an anti-inflammatory and antioxidant agent) that may help protect against chronic diseases. Six different baobab fruit pulp powders were investigated using three different extractants and analyzed by high-performance thin-layer chromatography (HPTLC) hyphenated with antibacterial bioassays and enzyme inhibition assays. The developed non-target effect-directed screening was performed after extraction with pentyl acetate - ethanol 1:1 (V/V) on the HPTLC plate silica gel 60 using toluene - ethyl acetate - methanol 6:3:1 (V/V/V) as mobile phase system and derivatization via the anisaldehyde sulfuric acid reagent for detection. The physico-chemical profiles of the six baobab fruit pulp powder extracts were comparable, although the intensity of some zones was moderately different. The following effect-directed profiling via tyrosinase, α-glucosidase, and acetylcholinesterase inhibition assays as well as antibacterial Aliivibrio fischeri and Bacillus subtilis bioassays revealed one prominent multipotent bioactive compound zone in common, more or less active in all five studied (bio)assays. Via the recording of high-resolution mass spectra, this compound zone was tentatively assigned to coeluting saturated (palmitic acid 16:0 and stearic acid 18:0), monounsaturated (oleic acid 18:1), and polyunsaturated (linoleic acid 18:2 and linolenic acid 18:3) fatty acids. This finding was confirmed by other studies, which already proved individual activities of fatty acids. The first (bio)activity profiling of baobab fruit pulp powders via HPTLC-effect-directed analysis revealed that the baobab fruit could be considered as a functional food, however, further research is needed to study the impact on health and the influences on the bioactivity arising from different climates, years and soils or regions.

Stability-Indicating Densitometric Analysis of Evogliptin Tartrate in Bulk and Tablet Dosage Form.

BACKGROUND: Evogliptin tartrate is a novel dipeptidyl peptidase (DPP-4) inhibitor very recently introduced into the market as an oral hypoglycemic drug. OBJECTIVE: The literature review has revealed no reports of stability-indicating analytical methods so far for evogliptin tartrate. Thus, the goal of this study was to develop and validate a stability-indicating high-performance thin-layer chromatography (HPTLC) method for evogliptin tartrate in bulk and tablet dosage form. METHOD: For the study, precoated plates of silica gel 60F254 were used as stationary phase and acetonitrile-water-formic acid (30:8:2, v/v/v) was used as a developing system. The densitometric scanning was performed at 270 nm, and the method was validated as per International Council for Harmonisation (ICH) guidelines for accuracy, precision, limit of detection (LOD), and limit of quantitation (LOQ). Evogliptin was subjected to forced degradation studies and was exposed to various stress conditions such as acid/base hydrolysis, oxidation, thermal stress, and UV light. RESULTS: The developed method furnished compact spots of evogliptin (Rf 0.62 ± 0.05) and was linear in the concentration range of 1-5 µg/spot. The lowest detection and quantitation values were found to be 0.331 and 1.003 µg/spot, respectively, and % recovery was found to be 101.09. The low RSD values (below 2%) for intra-day (% RSD 1.86) and inter-day (% RSD 1.43) precision studies demonstrated the preciseness of the developed method. CONCLUSIONS: All the validation parameters were found to be within the acceptable range prescribed by ICH guidelines, indicating that the developed method was accurate, precise, selective, and reproducible. A total of five degradation products were resolved under various stress conditions. HIGHLIGHTS: The proposed method has a promising application commercially for identification, routine quantitative determination, and monitoring of stability of the evogliptin tartrate in bulk and tablet dosage forms to guarantee its safety, efficacy, and quality. Moreover, the developed method will also help in formulation development and in determining the appropriate storage conditions.

Lipophilic Studies and In Silico ADME Profiling of Biologically Active 2-Aminothiazol-4(5H)-one Derivatives.

Pseudothiohydantoin derivatives have a wide range of biological activities and are widely used in the development of new pharmaceuticals. Lipophilicity is a basic, but very important parameter in the design of potential drugs, as it determines solubility in lipids, nonpolar solvents, and makes it possible to predict the ADME profile. The aim of this study was to evaluate the lipophilicity of 28 pseudothiohydantoin derivatives showing the inhibition of 11ß-hydroxysteroid dehydrogenase type 1 (11ß-HSD1) using chromatographic methods. Experimentally, lipophilicity was determined by reverse phase thin layer chromatography (RP-TLC) and reverse phase high-performance liquid chromatography (RP-HPLC). In both methods, methanol was used as the organic modifier of the mobile phase. For each 2-aminothiazol-4(5H)-one derivative, a relationship was observed between the structure of the compound and the values of the lipophilicity parameters (log kw, RM0). Experimental lipophilicity values were compared with computer calculated partition coefficient (logP) values. A total of 27 of the 28 tested compounds had a lipophilicity value < 5, which therefore met the condition of Lipinski's rule. In addition, the in silico ADME assay showed favorable absorption, distribution, metabolism, and excretion parameters for most of the pseudothiohydantoin derivatives tested. The study of lipophilicity and the ADME analysis indicate that the tested compounds are good potential drug candidates.

Application of effect-directed analysis using TLC-bioautography for rapid isolation and identification of antidiabetic compounds from the leaves of Annona cherimola Mill.

INTRODUCTION: Type 2 diabetes mellitus is a globally prevalent chronic disease characterised by hyperglycaemia and oxidative stress. The search for new natural bioactive compounds that contribute to controlling this condition and the application of analytical methodologies that facilitate rapid detection and identification are important challenges for science. Annona cherimola Mill. is an important source of aporphine alkaloids with many bioactivities. OBJECTIVE: The aim of this study is to isolate and identify antidiabetic compounds from alkaloid extracts with α-glucosidase and α-amylase inhibitory activity from A. cherimola Mill. leaves using an effect-directed analysis by thin-layer chromatography (TLC)-bioautography. METHODOLOGY: Guided fractionation for α-glucosidase and α-amylase inhibitors in leaf extracts was done using TLC-bioassays. The micro-preparative TLC was used to isolate the active compounds, and the identification was performed by mass spectrometry associated with web-based molecular networks. Additionally, in vitro estimation of the inhibitory activity and antioxidant capacity was performed in the isolated compounds. RESULTS: Five alkaloids (liriodenine, dicentrinone, N-methylnuciferine, anonaine, and moupinamide) and two non-alkaloid compounds (3-methoxybenzenepropanoic acid and methylferulate) with inhibitory activity were isolated and identified using a combination of simple methodologies. Anonaine, moupinamide, and methylferulate showed promising results with an outstanding inhibitory activity against both enzymes and antioxidant capacity that could contribute to controlling redox imbalance. CONCLUSIONS: These high-throughput methodologies enabled a rapid isolation and identification of seven compounds with potential antidiabetic activity. To our knowledge, the estimated inhibitory activity of dicentrinone, N-methylnuciferine, and anonaine against α-glucosidase and α-amylase is reported here for the first time.

A Rapid and Sensitive Stability-Indicating Eco-Friendly HPTLC Assay for Fluorescence Detection of Ergotamine.

Eco-friendly liquid chromatographic methods for measuring ergotamine (EGT) are scant in the published database. Accordingly, the goal of the current study was to develop a high-performance thin-layer chromatography (HPTLC) method for fluorescence detection of EGT in commercially available tablets. This approach was based on the application of ethyl alcohol-water (80:20 v/v) as the eco-friendly eluent mixture. The fluorescence detection of EGT was carried out at 322 nm. The greenness score of the present approach was evaluated by "Analytical GREENness (AGREE)" technology. The present approach for measuring EGT in the 25-1000 ng band-1 range was linear. The present assay for fluorescence detection of EGT was validated successfully by ICH guidelines for various parameters. The method was found to be rapid, sensitive, eco-friendly, and stability-indicating. The computed AGREE index for the current strategy was 0.84, displaying outstanding greenness features. The present methodology successfully separated the EGT degradation products under forced-degradation circumstances, exhibiting its stability-indicating qualities and selectivity. An amount of 99.33% of EGT was found in commercial formulations, indicating the validity of the current method for pharmaceutical analysis of EGT in commercial products. The results showed that EGT in commercial products might be regularly measured by the existing method.