Dietary supplement mislabelling: case study on selected slimming products by developing a green isocratic HPLC method for their quality control
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Dietary supplement mislabelling: case study on selected slimming products by developing a green isocratic HPLC method for their quality control

Apr 17, 2024

Scientific Reports volume 12, Article number: 22305 (2022) Cite this article

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An Author Correction to this article was published on 31 January 2023

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Nowadays, a huge population consumes Dietary supplements for losing weight. Products are often claimed as botanical blends, yet they aren't necessarily safe. Misleading labels are also very common. Thus, validated analytical methods for a wide range of slimming compounds are highly needed. Herein, we present a simple HPLC/PDA method for the quantitation of seven popular slimming ingredients. Studied compounds were Caffeine, Raspberry Ketone, trans-Resveratrol, p-Synephrine, p-Octopamine, p-Hordenine and 2-phenethylamine. After optimization, separation was carried out on a C18 column and mobile phase was a mixture of Acetonitrile:Water containing 0.1% phosphoric acid (50:50, %v/v). The last compound was eluted at 9.76 min. Separation was efficient showing baseline- separated symmetric peaks, without using any gradient programs, organic mobile phase modifiers or modified stationary phases. Method validation was done following ICH guidelines. Calibration curves were linear over wide concentration ranges and calculated LOD values were in the range 0.02–0.09 µg/mL. Method greenness was assessed using Analytical Eco-scale, GAPI and AGREE metric tools. Further, four random sample products purchased from online supplement stores were assayed. Results proved some mislabeling actions. To support our findings, standard addition was carried out and average % recoveries were 96.67 – 101.44% with standard deviation ≤ 2.83 between measurements.

Weight loss Dietary supplements (DS) are now trending over the internet. They are deemed a safe easy way to maintain health and achieve a nice physical appearance. Consumers falsely believe that these products contain natural ingredients and that they have been well tested for safety and efficacy prior to release to the market. Unfortunately, these non-prescription products are ineffective and at times harmful. As per the Dietary Supplement Health and Education Act (DSHEA) in 1994, DS aren't subjected to pre-market approval regarding purity, labeling, safety and efficacy. The FDA reacts only if serious adverse events or new scientific findings were reported post-market release. Consequently, mislabeling fraud is very common. Ingredients are often listed as proprietary blends. Moreover, these multi-ingredient formulas either contain prohibited ingredients or don’t contain the actual active ingredients listed on the label. The consumer should obtain a properly labeled product with a well-known composition. Thus, proper official regulations are mandatory. The National Institute of Health/ Office of Dietary Supplements (NIS/ODS) conducts some regulatory initiatives and encourages the development of standard reference materials for DS ingredients and validated analytical methods to pave the way for reliable quality control practices1,2,3.

As per our web search and in local health shops, slimming formulations currently available to the public contain a wide range of ingredients, either extracted from their natural sources or their synthetic analogues. Among the most commonly used compounds in these OTC products are trans-Resveratrol, Raspberry Ketone and the phenethylamine compounds; 2-Phenethylamine, p-Synephrine, p-Octopamine and p-Hordenine. It was also noticed that high Caffeine content is a major aspect in most weight loss DS.

Resveratrol is a polyphenol that occurs naturally in the skin of red grapes in defense to stress conditions such as fungal infections or environmental distress. It has been widely known for its antioxidant, anti-inflammatory and cardioprotective properties. It is also used as an anti-obesity agent, being an anti-adipocyte that suppresses adipogenesis inducing regulators. Resveratrol exists in both trans- and cis- isomers. However, the trans- form is more sterically stable, abundant and biologically active4. As per our literature review, trans-Resveratrol was assayed in supplement products using several techniques including reversed phase high performance liquid chromatography with UV and fluorescence detection5,6,7,8, fused core column chromatography with UV detection9, high performance thin layer chromatography10, capillary electrophoresis with UV detection11 and electrochemical detection12, constant wavelength synchronous spectrofluorimetry7and square wave13,14 and differential pulse voltammetry15,16.

Raspberry ketone is the major aromatic compound that gives the characteristic flavor of raspberry fruits. Among its wide health benefits, it is a popular anti-obesity agent. It induces lipolysis and inhibits intestinal fat absorption17. Natural Raspberry Ketone held GRAS (Generally Recognized as Safe) status since 196518. Although it is an abundant ingredient in weight loss DS, the adverse effects of its prolonged consumption aren't yet fully characterized. Few studies reported intravascular hemolysis, hyperglycemia and dose related mortality in mice19,20. Various methods have been published for Raspberry Ketone assay in DS products including high performance liquid chromatographic methods with Diode array detection using phenyl columns21 and UV detection22. It was also determined using high performance thin layer chromatographic22, IR-spectroscopic23 and spectrofluorimetric24,25,26 methods.

Phenethylamines (PEAs) are sympathomimetics found as appetite suppressants, thermogenic and lipolytic agents in weight loss formulas. 2-Phenethylamine is the most abundant, followed by the Citrus aurantium ingredients; p-Synephrine, p-Octopamine and p-Hordenine. Despite being natural, the high amount of PEAs in DS is possibly of synthetic origin. They are structurally similar to epinephrine and norepinephrine and affect the body's natural neurotransmitter system. Thus, their safety remains questioned. These adrenergic stimulants exert serious cardiovascular adverse events that are exaggerated with caffeine, especially that obese are already at high risk. The World Anti-Doping Agency (WADA) listed 2- Phenethylamine and p-Octopamine as prohibited substances and included p-Synephrine, p-Hordenine and Caffeine in the 2021 monitoring list to monitor the pattern of their abuse among athletes. Yet, they are still seen to the public2,27. To our knowledge, analytical methods have been published for either qualitative screening or quantitation of PEAs. These include monolithic column chromatography with acidic potassium permanganate chemiluminescence28, reversed phase high performance liquid chromatography with UV detection29,30,31,32,33,34,35,36,37, fluorescence detection29,32,38 and mass detection33,35,39,40,41, gas chromatography with mass detection42, capillary electrophoresis43, square wave and differential pulse voltammetry44,45 and NMR spectroscopy46.

To date, no general method is available in literature for the simultaneous assay of the previously mentioned weight loss ingredients. Only several methods have been published for the separation of mixtures of p-Synephrine, p-Octopamine and p-Hordenine32,38,40and at times with Caffeine31,36. Proper product labeling requires reliable validated analytical methods and a universal method is still indispensable.

Herein, we aimed to propose a versatile method that could be feasibly applied for quality control practices in regulatory laboratories. We developed a validated reversed phase high performance liquid chromatographic method for the simultaneous determination of Caffeine, trans-Resveratrol, Raspberry Ketone, p-Octopamine, p-Synephrine, p-Hordenine and 2-Phenethylamine, employing a photodiode array detector. The separation was achieved isocratically using only acetonitrile and acidified water in a short run time. Formal validation was done in accordance to ICH guidelines and method was applied to the analysis of random DS samples purchased from online health shops.

Caffeine anhydrous (1, 3, 7-Trimethylpurine-2, 6-dione, CAS no. [58-08-2], certified to be ≥ 99.5%), 2-Phenylethylamine HCl (CAS no. [156-28-5], certified to be ≥ 98.0%), p-Hordenine HCl (4-(2-(Dimethylamino) ethyl) phenol hydrochloride, CAS no. [6027-23-2], certified to be ≥ 99.5%), p-Octopamine HCl (4-(2-amino-1-hydroxyethyl) phenol hydrochloride, CAS no. [770-05-8], certified to be ≥ 99.5%), p-Synephrine HCl (4-[1-Hydroxy-2-(methylamino) ethyl] phenol hydrochloride, CAS no. [5985-28-4], certified to be ≥ 99.5%), trans-Resveratrol (trans-3, 5, 4′-Trihydroxystilbene, CAS no. [501-36-0], certified to be ≥ 99.0%) and Raspberry Ketone (4-(4-Hydroxyphenyl)-2-butanone, CAS no. [5471-51-2], certified to be ≥ 99.5%) were purchased from China (Baoji Guokang Biotechnology Co. Ltd); Acetonitrile, water (Fisher Chemical, UK) and 85% ortho-phosphoric acid (Merck, Darmstadt, Germany) were HPLC reagent grade.

Analysis was carried out using HPLC Waters Alliance e2695 separating module (Waters Co., MA, USA) equipped with a quaternary solvent system, in-line vacuum degasser, 100 µl injection loop; autosampler, heated column compartment and photo-diode array (PDA) detector. Analytical column was RP Spherisorb® ODS-2; 250 × 4.6 mm with 5 µm particle size (Waters Co., MA, USA). Empower-3 chromatography data software was used for data collection and acquisition. Column compartment and sample tray were kept at 25 °C. Mobile phase was a mixture of Acetonitrile: 0.1% phosphoric acid in ratio 50:50%v/v. 20 µl of samples were injected in triplicates and isocratically eluted with flow rate 0.9 mL/min. Total run time was 11 min and column was equilibrated with mobile phase for 5 min between single injections. PDA detection was carried out at 205 nm for Caffeine and 2-Phenylethylamine, 225 nm for Raspberry Ketone, p-Octopamine, p-Synephrine and p-Hordenine and 305 nm for trans-Resveratrol. Separation efficiency was verified by system suitability results.

Four different dietary supplement samples indicated for weight loss were purchased from online health shops. Sample (1) was labeled to contain a 280 mg proprietary blend of Caffeine anhydrous, Synephrine HCl and Octopamine HCl; per tablet. Sample (2) was claimed to contain 125 mg 2-Phenylethylamine HCl, 80 mg Caffeine anhydrous, 15 mg Hordenine HCl and 1 mg Synephrine HCl; per tablet. Sample (3) was claimed to be a mixture of 400 mg of Raspberry Ketone (4%), 400 mg Caffeine and Grape extract equivalent to 200 mg; per capsules serving. Sample (4) was labeled to contain Raspberry Ketone powder 300 mg, Green tea leaf extract 200 mg, Caffeine anhydrous 100 mg and a proprietary blend of Apple cider vinegar powder, Grapefruit powder, Kelp powder, Acai fruit powder, African mango seed extract and 10% Resveratrol extract; per capsules serving. All samples were analysed before their expiration date.

Separate stock solutions (100 µg/mL) of all drugs were prepared using water, except for trans-Resveratrol, which was dissolved in acetonitrile: water (1: 9, %v/v). All stock solutions were stable for 7 days when stored at 4 °C. Working standard solutions for construction of calibration curves were freshly prepared by appropriate linear aliquot dilution of stock solutions in mobile phase.

Emptied capsule contents or finely powdered tablets equivalent to one serving size were accurately weighted, dissolved in water (samples 1 and 2) or acetonitrile: water (1: 9, %v/v) (samples 3 and 4), sonicated for 10 min, filtered and stock solutions of each sample were prepared. Appropriate dilutions of each sample were prepared in mobile phase to fall within the calibration range and analysed under the previously mentioned chromatographic separation conditions. Extraction efficiency was further evaluated using standard addition technique. Known amounts of pure standards were added to commercial samples; those mixtures were then subjected to the entire sample preparation and quantitation steps. Recoveries were calculated by subtracting the concentration of the non-spiked samples from the total concentration of the spiked samples.

In view of the poor DS regulation, the existence of analytical methods to simultaneously identify and quantify different constituents in these products is very important to the field of health surveillance. This study sheds the light on seven popular slimming compounds; namely: Caffeine, trans-Resveratrol, Raspberry Ketone, p-Octopamine, p-Synephrine, p-Hordenine and 2-Phenethylamine. A simple, ecological and cheap RP-HPLC/PDA method was developed and validated for their simultaneous determination. To date, analytical methods are published for quantitation of a single compound or combination of few of them. Moreover, these methods employ long gradient programs and propose minimal validation data5,22,30,33. Thus, this proposal can be put forward as a general green, simple and valid method for the quality control of a wide variety of commercially available DS products.

On our chemical investigation of all mentioned compounds, we aimed to develop a green method that shows best resolution, peak shape and sensitivity using a conventional ODS column in a very short run time. Chromatogram showing all separated compounds is presented in Fig. 1. A standard C18 column was preferred as it is the most popular among quality control labs. However, all analytes were basic hydrophilic and separation of the basic PEAs on unmodified reversed phase silica was challenging. At neutral water pH, basic analytes are strongly retained on silanol residues and so peaks didn't appear in the relevant chromatograms. At low pH, unionized silanols and ionized basic analytes limit ion-exchange and let compounds be eluted47. Thus, methods in literature always used acidic buffers or ion pairing agents (e.g.: heptane sulphonate or sodium lauryl sulphate) through gradient mobile phase composition and/or gradient flow rate programs in long run times31,48. These mobile phase additives shorten the column lifetime and tedious gradient procedures aren't feasible for quality control practices. Only two methods were published in literature presenting a low concentration phosphoric acid in mobile phase instead of using organic acid modifiers. Insufficient resolution was observed between Octopamine and Synephrine peaks despite that both used gradient mobile phase composition and/or flow rate gradient elution36,37. The proposed method was optimized regarding mobile phase composition, flow rate, detection wavelength and injection volume. Mixtures of methanol: 0.1% phosphoric acid and acetonitrile: 0.1% phosphoric acid were tested in different proportions and flow rates. Acetonitrile was more promising than methanol due to its lower viscosity and UV cutoff. Methanol chromatograms were noisy and this reduced method sensitivity49. Acetonitrile: 0.1% phosphoric acid mixture was tested in the ratios, 30:70, 50:50 and 70:30, %v/v. In low acetonitrile ratio, Octopamine and Synephrine peaks co-eluted. Increasing acidified water proportion caused relative increase in protonation of bases and decreased their retention on column. In high acetonitrile ratio, last compound was eluted at 30 min along with co-elution of Caffeine and trans-Resveratrol peaks. The best baseline separation of the seven compounds was observed with isocratic elution of acetonitrile: 0.1% phosphoric acid mixture (50:50, %v/v). Isocratic elution was sufficient to provide satisfactory baseline separation with resolution between peaks more than 2, eliminating the need for the previously published laborious gradient programs and organic modifiers in the mobile phase. Blank solvent samples were injected and no carryover was detected between runs. Different pump flow rates were tested, a flow rate 0.9 mL/min showed the best resolution between peaks along with the least possible run time with the last compound eluted at 9.76 min. Although Raspberry Ketone and PEAs showed nearly similar UV spectra, they were differently eluted from the column under optimized conditions. Each analyte was detected at its λmax; 205 nm for Caffeine and 2-Phenethylamine, 225 nm for Raspberry Ketone, p-Synephrine, p-Octopamine and p-Hordenine and 305 nm for trans- Resveratrol. Optimum injection volume was 20 µl, above which peak shapes were distorted. Hence, both detection wavelengths and injection volume attributed to the method sensitivity.

HPLC–PDA chromatogram of standard solution of the studied drugs at 205 nm for caffeine and 2-phenethylamine, 225 nm for Raspberry Ketone, p-Octopamine, p-Synephrine, p-Hordenine and 305 nm for trans-Resveratrol (2 µg/mL each).

All validation parameters for our proposed method were calculated as per the ICH Q2 (R1) guidelines50.

Under the proposed chromatographic conditions, all target analytes were separated all the way to the baseline, showing well resolved peaks for both pure standard solutions and tested supplement samples. Representative chromatograms (Figs. 1 and 2) show no interfering peaks at the retention times of the studied drugs.

HPLC–PDA chromatogram of Dietary supplement samples (a sample 1, b sample 2, c sample 3, and d sample 4).

Five to seven point calibration curves were constructed for the studied drugs, correlating average peak area at the selected detection wavelength to the corresponding concentration and regression equations were computed. All linearity ranges and regression parameters are listed in Table 1. All drugs were linear over acceptably wide concentration ranges with correlation coefficient values higher than 0.999.

Method sensitivity was assayed in terms of LOD and LOQ values. Determination of LOD and LOQ was based on calibration data using the residual standard deviation of regression line in the range of detection limit (σ) and the slope of the calibration curve (s), applying the formula LOD = 3.3 × σ/s and LOQ = 10 × σ/s. Results are presented in Table 1.

Accuracy was evaluated by analyzing different concentrations of pure drug solutions across the linear ranges. Accuracy results were expressed as average percentage recoveries. The percentage relative standard deviation (%RSD) was calculated between a set of triplicate measurements of three different concentrations of each drug performed on the same day and on three consecutive days for expressing both Intra-day and Inter-day precision; respectively. Calculated results, expressed in Table 1, prove that our method is accurate and precise as indicated by percentage recoveries close to 100% and %RSD values less than 2%.

System suitability testing evaluates the whole components of an analytical system and efficiency of separation. During method optimization, System suitability parameters were calculated using Empower® software as described in FDA guidance for industry on Validation of Chromatographic Methods and USP-NF General Chapter <621> Chromatography–system suitability Chromatography. 258–265 (2012)." href="/articles/s41598-022-24830-1#ref-CR51" id="ref-link-section-d37080207e1464">51. Under the selected conditions, results (Table 2) were within the acceptable values verifying that the chromatographic system is efficient showing well resolved symmetric peaks. Thus, the proposed method is adequately valid for its intended purpose.

Robustness testing is a measure of the degree of method reliability to small but deliberate variation in operating conditions. It also highlights and set limits for critical method parameters. Multiple samples at the same concentration level were analyzed after varying pump flow rate (± 0.05 mL/min) and mobile phase composition (± 2%) and %RSD of assay was calculated at each typical variation. Results (Table 3) reveal that method was robust with respect to flow rate changes. However, mobile phase composition is a critical method parameter that affects resolution between peaks. Increasing 0.1% phosphoric acid concentration in mobile phase by 2% didn’t affect %drug assay, but resolution decreased to be 1.74 and 1.81 for Raspberry Ketone-Octopamine and Octopamine-Synephrine peaks; respectively.

After validation, the viability of the proposed method was endorsed. Four different DS samples were purchased from online retailers and analyzed using our mentioned procedures. Extraction was simply done using water, except for samples claimed to contain Resveratrol, that 10% acetonitrile in water was used. Compounds were identified on basis of relevant retention times, UV spectra and spiking samples with known amounts of pure standards for spectrally similar compounds. Representative chromatograms (Fig. 3) showed no interfering peaks in the relevant regions. Moreover, peak purity testing was performed using Empower® PDA software to exclude that possible impurities or degradates were co-eluted with studied compounds. Evaluation involved comparing a purity angle to threshold angle for each peak. Purity angle, the degree of spectral homogeneity, compares spectra across each point in the peak to the spectrum at the peak apex. Threshold angle is the largest possible purity angle attributed to co-elution, noise, solvent and detector error. An impurity is detected within a peak when its purity angle exceeds its threshold angle. In all tested DS products, peaks corresponding to studied drugs showed purity angle lower than threshold angle (Table 4) demonstrating spectral homogeneity, therefore, confirming the purity of eluting peaks52.

(a) GAPI—green analytical procedure index (b) AGREE – Analytical GREEnness Calculator assessments of our proposed methods.

Contents in samples were measured and compared relevant to label claims. Then samples were spiked with known amounts of pure standards to further identify compounds and evaluate the extraction efficiency. Assay and standard addition results are presented in Table 4.

For samples (1) and (2), measured amounts were in fairly good agreement with those on the label. Sample (1) contained a total intake of p-Synephrine and p-Octopamine higher than the safe levels, in addition to the high amount of Caffeine2,53. This probably explains the manufacturer's intention to mislead the consumer about the active agent content, that the mixture was labeled as a proprietary blend without stating the exact amount of each component. Despite that assay results of sample (2) matched with label claim, it is crucial to alert that it contains a very high level of the prohibited synthetic 2-Phenethylamine and yet is still available for sale to the public. For the other tested samples, results showed that the actual contents largely varied from the label claims. No resveratrol was detected above method LOD in sample (3), although it was labeled to contain 100 mg of grape extract. Moreover, it contained nearly half of its labeled Raspberry Ketone content. Similarly, Sample (4) contained approximately 3% of the labeled Raspberry Ketone, although it was declared as the main active agent in the product. To support the accuracy of our findings, standard addition was applied to the faulty samples and average recoveries varied between 96.67 and 103.33%.

Method greenness was assessed using the ''Eco-Scale'' tool. In evaluation, it considers hazard and amount of used re-agents, energy use, occupational hazard and waste generation. Each item is given a number of penalty points (PPs) and the total PPs are subtracted from an ideal total score of 100. Eco-scale scores >75, >50 or < 50 describe excellent, acceptable or inadequate greenness; respectively. Eco-scale score, calculated as described by Namiesnik et al.54, was 90 proving that our method is an excellent green one (Table 5).

GAPI is a semi-quantitative tool that evaluates all stages of an analytical procedure from sample collection to preparation to final analysis. It also shows whether a method is qualitative or quantitative. Assessment involves a three colored symbol that consists of five pentagrams. Each section is colored green, yellow or red for high, mid and low environmental friendliness; respectively. This metric visually highlights the variations among different analytical methodologies55,56. GAPI assessment of our proposed analytical method was calculated using ComplexGAPI® software57 and results are shown in Fig. 3a.

AGREE is an automated metric that considers the 12 principles of Green Analytical Chemistry (SIGNIFICANCE) during evaluation. Each criterion is given a score from 0 to 1. Final result is a pictogram divided into 12 segments. Each segment is colored green, yellow or red in different color intensities, according to its greenness. The width of each segment corresponds to its weight assigned by user. Finally, a total score of the whole analytical methodology is presented in the middle of the pictogram with a color corresponding to this score, where dark green is associated with values close to 1.This method is considered unique for its flexibility and that it not only considers the hazards of an analytical method but its output as well58. AGREE assessment of our proposed analytical method was calculated using AGREE® software and results are shown in Fig. 3b.

In this manuscript, the problem of DS mislabeling in market was assessed. For the assay of weight loss DS, an isocratic RP-HPLC method with diode array detection was developed for the separation and quantitation of seven popular lipolytic agents in weight loss DS. The proposed method is environment-friendly in which only acetonitrile and acidified water are enrolled for complete separation in an adequately short run time. Separation was efficient showing well resolved Gaussian shaped peaks. Validation was done in accordance to ICH guidelines and results proved that the method is sensitive, accurate, precise and robust across a wide concentration range. Further, it was applied to the assay of four DS products randomly purchased from online stores. Our results revealed the discrepancy between labeled and actual contents in two of the analyzed samples. The other two samples agreed with label claims. However, it's worth alerting that these two samples contained higher than safe levels of caffeine and PEAs that are already on monitoring/Prohibited WADA list and yet still available to the public. Finally, we believe that this simple, green, efficient and cost-effective procedure will contribute to enhancement of DS regulatory practices.

The datasets generated and analysed during the current study are available from the corresponding author on reasonable request.

A Correction to this paper has been published: https://doi.org/10.1038/s41598-023-28976-4

Bailey, R. L. Current regulatory guidelines and resources to support research of dietary supplements in the United States. Crit. Rev. Food Sci. Nutr. 60, 298–309 (2020).

Article Google Scholar

Pawar, R. S. & Grundel, E. Overview of regulation of dietary supplements in the USA and issues of adulteration with phenethylamines ( PEAs ). Drug Test. Anal. 9, 500–517 (2017).

Article CAS Google Scholar

Navarro, V. et al. The contents of herbal and dietary supplements implicated in liver injury in the United States are frequently mislabeled. Hepatol. Commun. 3, 792–794 (2019).

Article Google Scholar

Vincenzo, B., Riccio, F., Fonseca-santos, B., Colerato, P. & Chorilli, M. Characteristics, biological properties and analytical methods of trans -resveratrol : a review. Crit. Rev. Anal. Chem. 50, 339–358 (2020).

Article Google Scholar

Brizzi, A., Brizzi, V. & Corradini, D. Identification and quantification of trans - resveratrol in dietary supplements by a rapid and straightforward RP-HPLC method. J. Liq. Chromatogr. Relat. Technol. 31, 2089–2100 (2008).

Article CAS Google Scholar

Jagwani, S., Jalalpure, S., Dhamecha, D. & Hua, G. S. A Stability indicating reversed phase HPLC method for estimation of trans -resveratrol in oral capsules and nanoliposomes. Anal. Chem. Lett. 9, 711–726 (2019).

Article CAS Google Scholar

Moreton-Lamas, E., Lago-Crespo, M., Lage-Yusty, M. A. & Lopez-Hernandez, J. Comparison of methods for analysis of resveratrol in dietary vegetable supplements. Food Chem. 224, 219–223 (2017).

Article CAS Google Scholar

Omar, J. M., Yang, H., Li, S., Marquardt, R. R. & Jones, P. J. H. Development of an improved reverse-phase high-performance liquid chromatography method for the simultaneous analyses of trans -/ cis -resveratrol, quercetin, and emodin in commercial resveratrol supplements. J. Agric. Food Chem. 62, 5812–5817 (2014).

Article CAS Google Scholar

Solich, P., Fibigr, J. & Satínsk, D. A study of retention characteristics and quality control of nutraceuticals containing resveratrol and polydatin using fused-core column chromatography ˇ. J. Pharm. Biomed. Anal. 120, 112–119 (2016).

Article Google Scholar

Babu, S. K., Kumar, K. V. & Subbaraju, G. V. Estimation of trans-resveratrol in herbal extracts and dosage forms by high-performance thin-layer chromatography. Chem. Pharm. Bull. 53, 691–693 (2005).

Article CAS Google Scholar

Orlandini, S., Giannini, I., Pinzauti, S. & Furlanetto, S. Multivariate optimisation and validation of a capillary electrophoresis method for the analysis of resveratrol in a nutraceutical. Talanta 74, 570–577 (2008).

Article CAS Google Scholar

Gao, L., Chu, Q. & Ye, J. Determination of trans-resveratrol in wines, herbs and health food by capillary electrophoresis with electrochemical detection. Food Chem. 78, 255–260 (2002).

Article CAS Google Scholar

Zhang, H., Xu, L. & Zheng, J. Anodic voltammetric behavior of resveratrol and its electroanalytical determination in pharmaceutical dosage form and urine. Talanta 71, 19–24 (2007).

Article CAS Google Scholar

Yardim, Y. Electrochemical determination of resveratrol in dietary supplements at a boron-doped diamond electrode in the presence of hexadecyltrimethylammonium bromide using square-wave adsorptive stripping voltammetry. J. Serbian Chem. Soc. 82, 175–188 (2017).

Article CAS Google Scholar

Liu, J. X., Wu, Y. J., Wang, F., Gao, L. & Ye, B. X. Adsorptive voltammetric behaviors of resveratrol at graphite electrode and its determination in tablet dosage form. J. Chinese Chem. Soc. 55, 264–270 (2008).

Article CAS Google Scholar

Klein, R. S. et al. Trans-resveratrol electrochemical detection using portable device based on unmodified screen-printed electrode. J. Pharm. Biomed. Anal. 207, 114399–114407 (2021).

Article Google Scholar

Rao, S. et al. Pharmacological exploration of phenolic compound : raspberry ketone-update 2020. Plants 10, 1323–1339 (2021).

Article CAS Google Scholar

Lee, J. Further research on the biological activities and the safety of raspberry ketone is needed. NFS 2, 15–18 (2016).

Article Google Scholar

Hao, L. et al. Acute feeding suppression and toxicity of raspberry ketone [4-(4-hydroxyphenyl)-2-butanone] in mice. Food Chem. Toxicol. 143, 111512 (2020).

Article CAS Google Scholar

Mir, T. M., Ma, G., Ali, Z., Khan, I. A. & Mohammad, K. Effect of raspberry ketone on normal, obese and health-compromised obese mice: A preliminary study. J. Diet. Suppl. 18, 1–16 (2021).

Article CAS Google Scholar

Al-othman, Z. A., Al-warthan, A., Aboul-enein, H. Y., Za’abi, M., & Al Ali, I. Mechanistic approaches of PhE and PPF columns separation for rasberry ketone and caffeine. J. Liq. Chromatogr. Relat. Technol. 38, 1324–1332 (2015).

Maggi, F. et al. Analysis of food supplement with unusual raspberry ketone content. J. Food Process. Preserv. 41, 13–19 (2016).

Google Scholar

Aboul-Enein, H. Y., Antochi, O. M., Nechifor, G. & Bunaciu, A. A. Analysis of raspberry ketone in nutraceutical formulation using Fourier transform infrared spectrophotometric method. Open Bioact. Compd. J. 7, 8–13 (2019).

Article Google Scholar

Higashi, Y. Simple HPLC-fluorescence determination of raspberry ketone in fragrance mist after pre-column derivatization with 4-Hydrazino - 7- nitro - 2, 1, 3 - benzoxadiazole. J. Anal. Sci. Methods Instrum. 6, 44–49 (2016).

CAS Google Scholar

Higashi, Y. Improved method for determination of raspberry ketone in fragrance mist by HPLC-fluorescence analysis after pre-column derivatization with ( N -chloroformylmethyl- N -methylamino ). J. Anal. Sci. Methods Instrum. 8, 17–24 (2018).

CAS Google Scholar

Abdelaal, S. H., El, N. F., Hassan, S. A. & El-kosasy, A. M. Quality control of dietary supplements : An economic green spectrofluorimetric assay of Raspberry ketone and its application to weight variation testing. Spectrochim. Acta Part A Mol. Biomol. Spectrosc. 261, 120032–120038 (2021).

The World Anti-Doping Agency. The Prohibited Stimulants List. https://www.wada-ama.org/en/content/what-is-prohibited/prohibited-in-competition/stimulants.

Percy, D. W. et al. Determination of Citrus aurantium protoalkaloids using HPLC with acidic potassium permanganate chemiluminescence detection. Talanta 80, 2191–2195 (2010).

Article CAS Google Scholar

Putzbach, K., Rimmer, C. A., Sharpless, K. E. & Sander, L. C. Determination of Bitter Orange alkaloids in dietary supplements standard reference materials by liquid chromatography with ultraviolet absorbance and fluorescence detection. J. Chromatogr. A 1156, 304–311 (2007).

Article CAS Google Scholar

Roman, M. C., Betz, J. M. & Hildreth, J. Determination of synephrine in bitter orange raw materials, extracts, and dietary supplements by liquid chromatography with ultraviolet detection: Single-laboratory validation. J. AOAC Int. 90, 68–81 (2007).

Article CAS Google Scholar

Evans, R. L. & Siitonen, P. H. Determination of caffeine and sympathomimetic alkaloids in weight loss supplements by high-performance liquid chromatography. J. Chromatogr. Sci. 46, 61–67 (2008).

Article CAS Google Scholar

Lorenzo, C. D. et al. Development and validation of HPLC method to measure active amines in plant food supplements containing Citrus aurantium L. Food Control 46, 136–142 (2014).

Article Google Scholar

Yun, J., Kwon, K., Choi, J. & Jo, C. H. Monitoring of the amphetamine-like substances in dietary supplements by LC-PDA and LC–MS/MS. Food Sci. Biotechnol. 26, 1185–1190 (2017).

Article CAS Google Scholar

Rodrigues, J. et al. Rapid screening method in the identification of 17 adulterants in dietary supplements. Chromatographia 84, 267–274 (2021).

Article Google Scholar

Yun, J., Choi, J., Jo, C. H. & Kwon, K. Detection of synthetic anti-obesity drugs, designer analogues and weight-loss ingredients as adulterants in slimming foods from 2015 to 2017. J. Chromatogr. Sep. Tech. 09, 1000396–1000401 (2018).

Google Scholar

Viana, C. et al. Liquid chromatographic determination of caffeine and adrenergic stimulants in food supplements sold in brazilian e-commerce for weight loss and physical fitness. Food Addit. Contam. - Part A 33, 1–9 (2015).

Article Google Scholar

Viana, C. et al. High-performance liquid chromatographic analysis of biogenic amines in pharmaceutical products containing Citrus aurantium. Food Addit. Contam. - Part A 30, 634–642 (2013).

Article CAS Google Scholar

Gatti, R. & Lotti, C. Development and validation of a pre-column reversed phase liquid chromatographic method with fluorescence detection for the determination of primary phenethylamines in dietary supplements and phytoextracts. J. Chromatogr. A 1218, 4468–4473 (2011).

Article CAS Google Scholar

Pawar, R. S., Grundel, E., Fardin-kia, A. R. & Rader, J. I. Determination of selected biogenic amines in Acacia rigidula plant materials and dietary supplements using LC – MS / MS methods. J. Pharm. Biomed. Anal. 88, 457–466 (2014).

Article CAS Google Scholar

Pawar, R. S., Sagi, S. & Leontyev, D. Analysis of bitter orange dietary supplements for natural and synthetic phenethylamines by LC-MS/MS. Drug Test. Anal. 12, 1241–1251 (2020).

Article CAS Google Scholar

Hsien, A., Koh, W., Chess-williams, R. & Elizabeth, A. HPLC-UV-QDa analysis of Citrus aurantium- labelled pre-workout supplements suggest only a minority contain the plant extract. J. Pharm. Biomed. Anal. 193, 113746–113754 (2021).

Article Google Scholar

Marchei, E., Pichini, S., Pacifici, R., Pellegrini, M. & Zuccaro, P. A rapid and simple procedure for the determination of synephrine in dietary supplements by gas chromatography-mass spectrometry. J. Pharm. Biomed. Anal. 41, 1468–1472 (2006).

Article CAS Google Scholar

Mercolini, L. et al. Fast CE analysis of adrenergic amines in different parts of Citrus aurantium fruit and dietary supplements. J. Sep. Sci. 33, 2520–2527 (2010).

Article CAS Google Scholar

Allahverdiyeva, S., Keskin, E., Pinar, P. T., Yardim, Y. & Senturk, Z. First electroanalytical methodology for the determination of hordenine in dietary supplements using a boron-doped diamond electrode. Electroanalysis 31, 1–8 (2019).

Article Google Scholar

Haššo, M., Sarakhman, O., Stanković, D. M. & Švorc, L. A new voltammetric platform for reliable determination of the sport performance-enhancing stimulant synephrine in dietary supplements using a boron-doped diamond electrode. Anal. Methods 12, 4749–4758 (2020).

Article Google Scholar

Zhao, J., Wang, M., Avula, B. & Khan, I. A. Detection and quantitation of phenethylamines in sports dietary supplements by NMR approach. J. Pharm. Biomed. Anal. 151, 347–355 (2018).

Article CAS Google Scholar

McCalley, D. V. Selection of suitable stationary phases and optimum conditions for their application in the separation of basic compounds by reversed-phase HPLC. J. Sep. Sci. 26, 187–200 (2003).

Article CAS Google Scholar

Rebiere, H., Guinot, P., Civade, C., Bonnet, P. & Nicolas, A. Detection of hazardous weight-loss substances in adulterated slimming formulations using ultra-high- pressure liquid chromatography with diode-array detection. Food Addit. Contam. Part A 29, 161–171 (2012).

Article CAS Google Scholar

Snyder, L. R., Kirkland, J. J. & Glajch, J. L. Appendix II: Properties of Solvents Used in HPLC. Practical HPLC Method Dev. 3, 721–728 (2012).

Article Google Scholar

Validation of Analytical Procedures: Text and Methodology Q2(R1), U. food and drug administration. International Conference on Harmonisation, Validation of Analytical Procedures: Text and Methodology Q2(R1), US food and drug administration. in (2005). https://doi.org/10.1590/s1984-82502011000100012.

FDA guidance for industry on Validation of Chromatographic Methods and USP General 200 Chapter <621> Chromatography. 258–265 (2012).

Karthikeyan, K., Arularasu, G. T., Ramadhas, R. & Pillai, C. K. Development and validation of indirect RP-HPLC method for enantiomeric purity determination of d-cycloserine drug substance. J. Pharm. Biomed. Anal. 54, 850–854 (2011).

Article CAS Google Scholar

Biesterbos, J. W. H., Sijm, D. T. H. M., van Dam, R. & Mol, H. G. J. A health risk for consumers: The presence of adulterated food supplements in the Netherlands. Food Addit. Contam. - Part A 36, 1273–1288 (2019).

Article CAS Google Scholar

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

Article Google Scholar

Płotka-Wasylka, J. A new tool for the evaluation of the analytical procedure: Green analytical procedure Index. Talanta 181, 204–209 (2018).

Article Google Scholar

Gamal, M., Naguib, I. A., Panda, D. S. & Abdallah, F. F. Comparative study of four greenness assessment tools for selection of greenest analytical method for assay of hyoscine: N -butyl bromide. Anal. Methods 13, 369–380 (2021).

Article CAS Google Scholar

Płotka-Wasylka, J. & Wojnowski, W. Complementary green analytical procedure index (ComplexGAPI) and software. Green Chem. 23, 8657–8665 (2021).

Article Google Scholar

Pena-Pereira, F., Wojnowski, W. & Tobiszewski, M. AGREE - analytical GREEnness metric approach and software. Anal. Chem. 92, 10076–10082 (2020).

Article CAS Google Scholar

Linda, L. Reviewer guidance - validation of chromatographic methods. CDER. Cent. Drug Eval. Res. 22, 1–30 (1998).

Google Scholar

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Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Ain Shams University, Cairo, 11566, Egypt

Noha F. El Azab, Sarah H. Abdelaal & Amira M. El-Kosasy

Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, 11562, Egypt

Said A. Hassan

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N.F.E.-A.: Conceptualization, Resources, Formal analysis, Writing –review and editing. S.H.A.: Conceptualization, Methodology, Investigation, Formal analysis, writing original draft. S.A.H.: Conceptualization, Investigation, Validation, Writing—review and editing. A.M.E-K.: Conceptualization, Supervision, Project administration.

Correspondence to Sarah H. Abdelaal.

The authors declare no competing interests.

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El Azab, N.F., Abdelaal, S.H., Hassan, S.A. et al. Dietary supplement mislabelling: case study on selected slimming products by developing a green isocratic HPLC method for their quality control. Sci Rep 12, 22305 (2022). https://doi.org/10.1038/s41598-022-24830-1

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Received: 10 September 2022

Accepted: 21 November 2022

Published: 24 December 2022

DOI: https://doi.org/10.1038/s41598-022-24830-1

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