Next Article in Journal
Dye Sorption from Mixtures on Chitosan Sorbents
Previous Article in Journal
Combining the Fragment Molecular Orbital and GRID Approaches for the Prediction of Ligand–Metalloenzyme Binding Affinity: The Case Study of hCA II Inhibitors
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

UPLC-MS/MS-Based Target Screening of 90 Phosphodiesterase Type 5 Inhibitors in 5 Dietary Supplements

1
National Institute for Food and Drug Control, Beijing 100050, China
2
School of Pharmaceutical Sciences, Capital Medical University, Beijing 100069, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Molecules 2024, 29(15), 3601; https://doi.org/10.3390/molecules29153601
Submission received: 2 July 2024 / Revised: 23 July 2024 / Accepted: 29 July 2024 / Published: 30 July 2024
(This article belongs to the Special Issue Advances in the Mass Spectrometry of Chemical and Biological Samples)

Abstract

:
The aim of individuals consuming health supplements is to attain a robust state through nutritional regulation. However, some unscrupulous manufacturers, motivated by profit, fraudulently incorporate drugs or unauthorized components with therapeutic effects into the product for instant product performance enhancement. The long-term use of these products may inadvertently inflict harm on human health and fail to promote nutritive healthcare. The illegal inclusion of these substances is prevalent in kidney-tonifying and sexuality-enhancing products. Developing effective analytical methods to identify these products and screen for illegal added ingredients can effectively prevent such products from reaching and remaining on the market. A target screening method for the detection and quantification of 90 phosphodiesterase type 5 inhibitors (PDE-5is) in 5 kinds of health products was developed and validated. The type of dietary supplements varied from tablets, capsules, and protein powder to wine and beverages. Sample preparation was completed with a one-step liquid phase extraction. The screening process of 90 PDE-5is was done efficiently within 25 min by ultra-high performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) using the dynamic multiple reaction monitoring (dMRM) technique. The LODs of 90 PDE-5is were detected at levels ranging from 25 to 85 ng/g or ng/mL. This novel targeting methodology was effective and can be applied to routine market supervision. Among 286 batches of samples, 8 batches were found to be positive. Three kinds of PDE-5is were first detected in healthy products. The screening method demonstrated herein will be a promising and powerful tool for rapid screening of PDE-5is.

1. Introduction

The global trend toward dietary supplements to encourage healthier living has consistently intensified appreciably [1,2]. Considering the burgeoning demand for dietary supplements, potential risks also escalate concurrently. Throughout the previous decade, instances of suspected illegal adulterants of pharmaceuticals, unapproved drugs, and regulated substances have amplified markedly, posing a significant global challenge to the safety surveillance of dietary supplements [3]. Phosphodiesterase type 5 inhibitors (PDE-5is) can selectively inhibit the activity of the PDE-5 enzyme and increase the concentration of cyclic guanosine monophosphate (cGMP) in cells, resulting in smooth muscle relaxation [4]. At the earliest stage, it was used as a clinical drug for cardiovascular diseases [5]. Later, it was found that it has a therapeutic effect on patients with erectile dysfunction (ED), and nowadays, it has been used as the first-choice drug for the treatment of ED [6,7,8]. In pursuit of improving sexual ability, PDE-5is are often unethically added to various health products and dietary supplements. Most of these additions are unmarked and illegal, and taking these products without the guidance of a doctor is a great threat to health [9,10].
Several methods of PDE-5is detection or screening have been developed to effectively oversee and combat this illegal addition [11,12,13,14,15,16]. Most of these methods rely on liquid chromatography tandem mass spectrometry (LC-MS/MS) [17,18,19,20,21,22,23]. According to the differences in instruments, these methods are bifurcated into two main classifications: non-target screening methods based on high-resolution mass spectrometry and target screening methods based on tandem quadrupole mass spectrometry [24]. Non-target screening utilizes a database of precise reference material MS and MS/MS profiles acquired on high-resolution mass spectrometry [25]. The number of compounds screened hinges upon the contents of the database. Data processing consumes 70% of the whole screening work. Compound parameters, such as retention time and MS/MS spectrum are primary matching elements. Filtered parameters, such as the threshold of matching, are key factors affecting the screening results [26,27,28].
In contrast to the non-target methodology, the target screening approach is guided by optimizing acquisition parameters. The retention time and multiple reaction monitoring (MRM) transition channels of each compound have been fine-tuned to obtain the highest screening efficiency. The retention time and multiple reaction monitoring (MRM) transition channels for each compound have been meticulously curated to attain the utmost screening efficacy. The precise calibrators crafted by the reference materials are employed to construct the standard curve, facilitating not merely target screening but also precise quantification of the screened compounds [29]. Over half of the target screening endeavor entails sample preparation and data acquisition. The established screening methodology by reference material data allows for swift sample examination and compound quantification. False positive rates are significantly lower for target screening methods compared to non-target screening methods. For the scrutiny of health-threatening compounds, target screening methods with superior accuracy are typically employed. Lee et al. simultaneously identified 38 PDE-5is in illicit erectile dysfunction products [30]. Philippe et al. developed a prompt target assessment methodology for 71 active and 11 naturally occurring erectile dysfunction ingredients found in potentially tainted or counterfeit goods. Furthermore, they incorporated a high-resolution full scan procedure into this method, enabling subsequent identification via an untargeted approach to minimize the potential for false-positive outcomes [31]. With the notable advancement in chromatographic separation and mass spectrometry acquisition, over 150 compounds can be target screened in a single analysis [32]. Qie crafted a swift method for the simultaneous quantification of 160 drugs in urine or blood [33]. Employing the power of the scheduled MRM mode, Yin and colleagues presented an extensive multiresidue analytical methodology for 210 drugs in pork within a concise 20 min [34]. These case studies vividly underscore the broad application of the targeted screening strategy in food regulation.
To scrutinize all PDE-5is discovered, this research refined a target screening methodology to assess 90 of them (outlined in Table S1) across five food substrates or wholesome products, encompassing tablets, capsules, protein powder, healthful wine, and functional beverages. There was a significant incidence of PDE-5is incorporation into these wholesome products; this research approach streamlined existing laboratory methodologies and notably enhanced the food surveillance capabilities in the fight against illicit additions.

2. Results and Discussion

2.1. Extraction Solvent Optimization

Most PDE5-is were aromaticity compounds with weak polarity and limited solubility in pure water; organic solvents such as methanol, ethanol, acetone, and acetonitrile were often used for sample pre-treatment [35,36]. Within this study, methanol and acetonitrile were utilized for sample dilution or extraction; all PDE5-is were identifiable in these two solvents. However, in blank matrix-spiked samples, some compounds such as hydroxythiovardenafil exhibited splitting chromatographic peaks in acetonitrile, particularly evident in samples of wine and beverages; however, it was ameliorated when methanol was employed as solvent. The splitting chromatographic peak in acetonitrile is shown in the upper part of Figure S1, and the ameliorated peak in methanol is shown in the lower part of Figure S1.

2.2. LC–MS/MS Optimization

For liquid chromatography separation, methanol and 0.1% formic acid aqueous solution were selected as the mobile phase due to the enhanced solubility of PDE-5is in methanol. Initially, a 10% organic phase was maintained for 1 min to ensure robust retention of the sample on the chromatographic column; subsequently, the proportion of the organic phase was incrementally increased to facilitate sequential elution of the compound for analysis. The proportion of the organic phase was elevated to 100% until 19 min and sustained for 3 min to ensure complete elution of all substances in the sample without accumulation on the chromatographic column to prevent contamination. To optimally separate 90 PDE-5i, three distinct types of columns were employed. In comparison to HSS T3 (2.1 × 100 mm, 1.8 μm, Waters, Milford, MA, USA) and BEH C18 (2.1 × 100 mm, 1.7 μm, Waters, Milford, MA, USA), separation on Zorbax Eclipse Plus C18 (3.0 × 150 mm, 1.8 μm, Agilent, Santa Clara, CA, USA) was superior, as this column was the longest, exhibiting superior resolution for basic PDE-5is compounds. Figure S2 presents the outcomes of LC separation, employing three different chromatographic columns.
For MS detection, the unique standard solution (100 ng/mL) of each compound was administered into the mass spectrometer, and the fragmentation voltage was refined in full scan mode to facilitate the precursor ion to attain the utmost response. The polarities of the electrospray ionization (ESI) source were also optimized; all PDE-5is exhibited superior response in positive mode except depiperazinothio sildenafil, vardenafil dimer, and N-phenylpropylethyl tadalafil. These three PDE-5is manifested superior response in negative mode. Subsequently, the acquiring mode was shifted to the product ion mode to optimize the collision energy, and the two most abundant product ions were chosen for quantification and qualitative validation. Currently, PDE-5is primarily comprise two structural classifications, akin to the two popular sex-enhancing drugs presently available. The first comprises structural analogs of sildenafil, yielding fragment ions with a m/z of 311.1, 113.1, or 99.1; the second, structural prostaglandins of Tadalafil, predominantly produce fragment ions at a m/z of 135. The subtle differences in structure engender disparities in their collision energies, necessitating individual optimization.
When all 180 transitions were configured in a single MRM method, the dwell time of each transition could only be allotted to 2 milliseconds when the cycle time was set to 400 milliseconds, which significantly impacted the sensitivity of the methodology. To mitigate this limitation, the dynamic multiple reaction monitoring (dMRM) modality was employed for data acquisition, wherein specific ion transitions were apprehended exclusively within a narrow retention time interval, thus potentially reducing the number of concurrent ion transitions and significantly augmenting sensitivity [37,38,39,40,41]. The extract ion chromatograms (EICs) of the transitions of all PDE-5is are shown in Figure S3. Among these 90 compounds, 2-hydroxypropylnortadalafil and the vardenafil dimer need special attention because they both have tautomerism; there were two peaks in the respective EICs, which are shown in Figure 1. The two peak areas need to be added together for quantification.

2.3. Selectivity, Linearity, Sensitivity, and Matrix Effects

The chromatograms of blank matrix and spiked matrix samples at a concentration of 100 ng/mL were juxtaposed to illustrate the selectivity of the devised methodology. The findings are illustrated in Figure S4. Peaks in the chromatograms of the blank matrix did not obstruct the analysis of PDE-5is in all five matrices, which validated the outstanding selectivity of the method.
The calibration curves of all 90 PDE-5is were in accordance with the quantitative analysis requirement, demonstrating excellent regression coefficient values exceeding 0.99. The matrix effects exhibited considerable fluctuations across the five diverse matrices. For tablets, healthful wine, and functional beverages, the matrix effects were within the range of 85–115%, indicating a negligible impact on PDE-5is quantification. For capsules and protein powder, the matrix effects were less than 80%, establishing matrix-matched calibration curves to mitigate the influence of the matrix. The regression coefficients of these two matrix-matched calibration curves were superior to 0.99, reflecting superb linearity. The method LODs and LOQs were evaluated utilizing the spiked-in sample in a blank matrix. The LOD and LOQ of each of the 90 PDE-5is are detailed in Table 1. The LODs of these 90 PDE-5is were less than 50 ng/g or 30 ng/mL. These thresholds were relatively low and suggest that the developed methodology is sufficiently sensitive to quantify the PDE-5is in various matrices.

2.4. Precision and Recoveries

The degrees of precision were computed through the ascertainment of mixed standard solutions spiked in 5 distinct blank matrices at concentrations of 15 ng/mL, 80 ng/mL, and 150 ng/mL. Six replicates of these solutions were quantified on a single day to assess intra-day precision, and the identical samples were assessed continually for three consecutive days to appraise the inter-day precision. All intra-day degrees of precision were below 10%, and all inter-day degrees of precision were below 15%. All recoveries of the solutions formulated at 3 concentrations in 5 matrices fell within the range of 80–120%. The mean precision and recoveries of the solutions in five matrices at divergent concentrations are illustrated in Table 2.

2.5. Method Application

The established method has played an important role in health product risk monitoring. From the perspective of product efficacy claims, samples can be segmented into five categories: boosting immunity, alleviating fatigue, reducing blood pressure, and amplifying sexual performance, and others. Within 286 cohorts of samples, PDE-5is were identified in 8 cohorts. Sildenafil was detected in 6 cohorts of tablet samples. It was a traditional illicit additive with a positive detection rate of 2.1%. In addition to 4 instances identified in samples that enhanced sexual efficacy, 2 events were identified in samples that mitigated fatigue. This suggests that illegal additions are becoming progressively more concealed, escalating the complexity of risk surveillance. 2-Hydroxypropyl nortadalafil was detected positively in one of the nutritionally beneficial wine samples. N-Ethyltadalafil was identified in one of the capsule samples. These two inhibitors have not been detected in our previous screening endeavors, signifying that the illegal incorporation of PDE-5is has become progressively covert. For all screening specimens, the overall positive detection rate was 2.8%; it is imperative to persistently expand the spectrum of detection compounds for food risk evaluation.

3. Materials and Methods

3.1. Reagents and Standards

The names, molecular formulas, and CAS numbers of the exceptional 90 PDE-5is standards are detailed in Table S1. Reference standards (purity ≥ 98%) for the 90 PDE-5is were obtained from Dr. Ehrenstorfer Laboratories (Augsburg, Germany). Formic acid (LC-MS grade) was purchased from Merck Co. (Darmstadt, Germany). Methanol (MeOH, LC-MS grade) was purchased from Honeywell Burdick & Jackson (Muskegon, MI, USA). Ultrapure water (18.2 MΩ) was obtained from a Milli-Q Advantage ultrapure water purification system. Healthy products such as vitality tablets, epimedium capsules, ginseng wine, protein power, and functional energy beverages were obtained from the National Institutes for Food and Drug Control (Beijing, China).

3.2. Sample Preparation

Liquid substances, such as wine and beverages, were precisely determined after dilution to an exact volume. For solid substrates, the tablets were meticulously crushed into a uniform powder and blended thoroughly. The shells of all capsules were gently eliminated, and the powder within was delicately mixed. Typically, 1 g (±0.05 g) of solid samples (tablets, capsules, and powder) or 1 mL of liquid samples (wine and beverage) were precisely transferred into a 10 mL volumetric flask and dissolved in 7 mL methanol, followed by gentle sonication for 10 min. The volume of all samples was precisely fixed to 10 mL after the solid matter was completely dispersed or dissolved. Then, 5 mL methanol was transferred to a centrifuge tube and centrifuged at 14,000 rpm for 5 min sequentially; the supernatant was collected and filtered through a 0.22 μm filter (NormJect, Tuttlingen, Germany) prior to analysis.

3.3. Preparation of Standard Solutions and Calibration Curve

Stock dilutions of the individual standards were meticulously prepared in methanol (ranging from 300 to 1000 μg/mL) and preserved at −80 °C. The working standard combination solution of 90 PDE-5is was formulated monthly at a concentration of 3 μg/mL in methanol and carefully stored at −20 °C. Blank instances were diligently processed, as outlined in Section 3.2, to yield a blank matrix solution. Subsequently, the matrix-matched calibration solution with the highest concentration (200 ng/mL) was prepared by fortifying the working solution (3 μg/mL) into a blank matrix solution. Finally, the remaining five matrix-matched calibration solutions were prepared by progressive dilution with the highest matrix-matched calibration solution (200 ng/mL). Mixed standard solutions with concentrations of 5, 10, 20, 50, 100, and 200 ng/mL were employed for constructing matrix-matched calibration curves. All calibrators were meticulously prepared prior to use. External standard calibration was utilized for the quantitative analysis.

3.4. LC-MS/MS Conditions

Chromatographic separation was carried out on an Agilent 1290 ultrahigh-performance liquid chromatography setup, employing an Agilent Eclipse Plus C18 column (3.0 × 150 mm, 1.8 μm) with the managerial column oven temperature preserved at 35 °C. The separation conditions underwent optimization: the infusion rate was set to 400 μL/min, the injection volume was 5 μL, and deionized water with 0.1% formic acid and methanol were the mobile phases A and B. A gradient routine was employed for elution: 0–1 min, 10% B, 1–16 min, 10–65% B, 16–19 min, 65–100% B, 19–22 min, 100%B, 22–22.1 min, returned to 10% B, and re-equilibrated for 3 min.
MS analysis was executed on an Agilent 6460 triple quadrupole (QQQ) mass spectrometer furnished with an AJS electrospray ionization source (ESI). The fine-tuned ESI conditions were: drying gas (N2) temperature at 200 °C, drying gas flow at 14 L/min, sheath gas (N2) temperature at 250 °C, sheath gas flow at 11 L/min, capillary at 3000 V, and nebulizer gas at 40 psi. The acquisition was conducted in dynamic multi-reaction mode (dMRM) with a cycle duration of 500 ms. Two specific transitions for each PDE-5i were monitored over an automatic set delta retention time. The detailed parameters of the established methodology are illustrated in Table S2.

3.5. Method Validation

The optimized sample screening methodology was meticulously validated in terms of selectivity, linearity, quantification, precision, recovery, and sensitivity in various matrices [30,35,36]. Selectivity was evaluated by comparing the chromatograms of 80 ng/mL standard analyte-spiked solutions and blank matrix, confirming the full resolution of all MRM extracted ion chromatograms (EICs) devoid of matrix interference. The peak area was correlated with specific spiked analyte concentrations within a blank matrix to formulate calibration curves. Calibration linearity was assessed using the coefficient of determination (R2). Accuracy and precision were confirmed through the analysis of spiked replicates at 3 concentration levels (15 ng/mL, 80 ng/mL, and 150 ng/mL), serving as quality control (QC) samples. Precision was expressed as a relative standard deviation (RSD, %) of the measured concentrations in spiked replicates. The recoveries of analytes across diverse matrices were also calculated at identical concentrations. The method’s reliability was gauged by establishing the limits of detection (LODs) and quantification (LOQs) of the spiked samples. When the signal-to-noise ratio (S/N) exceeding 3 for an individual target analyte in sequential dilutions was classified as LOD, it reached 10 signified LOQ. Matrix interference was assessed by comparing the measured peak area of analytes from QC samples to the predicted value using standards prepared in the solvent.

4. Conclusions

A targeted detection methodology for the concurrent quantification of 90 PDE-5is in five types of wholesome foods was efficiently designed and validated. The sample extraction procedures were straightforward and dependable, eliminating the necessity for a complementary clean-up protocol. The detection and quantitative evaluation of the 90 PDE-5is could be accomplished utilizing UHPLC-MS/MS, with a gradient chromatographic runtime of merely 25 min, executed in dMRM mode. This methodology provides an adept approach to target detection of PDE-5is in wholesome food with superior selectivity, precision, and sensitivity. Further expansion of this methodology could be achieved by augmenting the newly identified PDE-5i to enhance the capability of illicit addition detection.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/molecules29153601/s1.

Author Contributions

Conceptualization, S.J. and J.C.; Data curation, T.L. and X.N.; Formal analysis, J.C.; Investigation, S.J. and X.P.; Methodology, Y.W. and X.P.; Project administration, S.J. and J.C.; Resources, Y.W. and T.L.; Software, X.N. and X.P.; Supervision, J.C. and X.P.; Validation, S.J., Y.W., and R.L.; Visualization, Y.W. and X.P.; Writing—original draft, S.J. and Y.W.; Writing—review and editing, R.L. and S.J. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Key Research and Development Program of China (grant number 2021YFC2401100).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the study are included in the article (and Supplementary Materials), further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Li, S.; Wei, Y.; Liang, Z.; Guo, L.; Hao, X.; Zhang, Y. Review on dietary supplements as an effective improvement of Alzheimer’s disease: Focus on structures and mechanisms. Food Sci. Hum. Wellness 2024, 13, 1787–1805. [Google Scholar] [CrossRef]
  2. Duan, H.; Pan, J.; Guo, M.; Li, J.; Yu, L.; Fan, L. Dietary strategies with anti-aging potential: Dietary patterns and supplements. Food Res. Int. 2022, 158, 111501. [Google Scholar] [CrossRef] [PubMed]
  3. Zhang, D.; Liu, D.; Jing, J.; Jia, B.; Tian, Y.; Le, Y.; Yu, Y.; Hu, Q. Unveiling the chemical complexity of food-risk components: A comprehensive data resource guide in 2024. Trends Food Sci. Technol. 2024, 148, 104513. [Google Scholar] [CrossRef]
  4. Schwartz, B.G.; Jackson, G.; Stecher, V.J.; Campoli-Richards, D.M.; Kloner, R.A. Phosphodiesterase type 5 inhibitors improve endothelial function and may benefit cardiovascular conditions. Am. J. Med. 2013, 126, 192–199. [Google Scholar] [CrossRef] [PubMed]
  5. Vlachopoulos, C.; Ioakeimidis, N.; Rokkas, K.; Stefanadis, C. Cardiovascular effects of phosphodiesterase type 5 inhibitors. J. Sex. Med. 2009, 6, 658–674. [Google Scholar] [CrossRef] [PubMed]
  6. Miranda, E.P.; Taniguchi, H.; Cao, D.L.; Hald, G.M.; Jannini, E.A.; Mulhall, J.P. Application of sex aids in men with sexual dysfunction: A review. J. Sex. Med. 2019, 16, 767–780. [Google Scholar] [CrossRef] [PubMed]
  7. Zakhem, G.A.; Goldberg, J.E.; Motosko, C.C.; Cohen, B.E.; Ho, R.S. Sexual dysfunction in men taking systemic dermatologic medication: A systematic review. J. Am. Acad. Dermatol. 2019, 81, 163–172. [Google Scholar] [CrossRef] [PubMed]
  8. Montorsi, F.; Adaikan, G.; Becher, E.; Giuliano, F.; Khoury, S.; Lue, T.F.; Sharlip, I.; Althof, S.E.; Andersson, K.E.; Brock, G.; et al. Summary of the recommendations on sexual dysfunctions in men. J. Sex. Med. 2010, 7, 3572–3588. [Google Scholar] [CrossRef] [PubMed]
  9. Shafiee-Nick, R.; Afshari, A.R.; Mousavi, S.H.; Rafighdoust, A.; Askari, V.R.; Mollazadeh, H.; Fanoudi, S.; Mohtashami, E.; Rahimi, V.B.; Mohebbi, M.; et al. A comprehensive review on the potential therapeutic benefits of phosphodiesterase inhibitors on cardiovascular diseases. Biomed. Pharmacother. 2017, 94, 541–556. [Google Scholar] [CrossRef]
  10. Yafi, F.A.; Sharlip, I.D.; Becher, E.F. Update on the safety of phosphodiesterase type 5 inhibitors for the treatment of erectile dysfunction. Sex. Med. Rev. 2018, 6, 242–252. [Google Scholar] [CrossRef]
  11. López-García, E.; Mastroianni, N.; Postigo, C.; Valcárcel, Y.; González-Alonso, S.; Barceló, D.; López De Alda, M. Simultaneous lc–ms/ms determination of 40 legal and illegal psychoactive drugs in breast and bovine milk. Food Chem. 2018, 245, 159–167. [Google Scholar] [CrossRef] [PubMed]
  12. Kim, J.; Ji, D.; Kang, S.; Park, M.; Yang, W.; Kim, E.; Choi, H.; Lee, S. Simultaneous determination of 18 abused opioids and metabolites in human hair using lc–ms/ms and illegal opioids abuse proven by hair analysis. J. Pharmaceut. Biomed. 2014, 89, 99–105. [Google Scholar] [CrossRef]
  13. Park, M.; Sim, J.; Jeon, Y.; Yeon, S.; Lee, J.; In, S. Determination of boldenone in postmortem specimens including blood and urine samples using lc-ms/ms. J. Pharmaceut. Biomed. 2019, 169, 111–115. [Google Scholar] [CrossRef] [PubMed]
  14. Cheng, Y.; Tsai, T. A validated lc–ms/ms determination method for the illegal food additive rhodamine b: Applications of a pharmacokinetic study in rats. J. Pharmaceut. Biomed. 2016, 125, 394–399. [Google Scholar] [CrossRef] [PubMed]
  15. Pratiwi, R.; Dipadharma, R.H.; Prayugo, I.J.; Layandro, O.A. Recent analytical method for detection of chemical adulterants in herbal medicine. Molecules 2021, 26, 6606. [Google Scholar] [CrossRef] [PubMed]
  16. Li, L.; Liang, X.; Xu, T.; Xu, F.; Dong, W. Rapid detection of six glucocorticoids added illegally to dietary supplements by combining tlc with spot-concentrated raman scattering. Molecules 2018, 23, 1504. [Google Scholar] [CrossRef] [PubMed]
  17. Patel, D.N.; Li, L.; Kee, C.; Ge, X.; Low, M.; Koh, H. Screening of synthetic pde-5 inhibitors and their analogues as adulterants: Analytical techniques and challenges. J. Pharmaceut. Biomed. 2014, 87, 176–190. [Google Scholar] [CrossRef] [PubMed]
  18. Saito, K.; Kokaji, Y.; Muranaka, Y.; Ito, R. Simultaneous determination of synthetic cannabinoids in illegal herbal products and blood by lc/tof-ms, and linear regression analysis of retention time using log pow. Forensic Chem. 2020, 17, 100202. [Google Scholar] [CrossRef]
  19. Hu, Z.; Qi, P.; Wang, N.; Zhou, Q.; Lin, Z.; Chen, Y.; Mao, X.; Jiang, J.; Li, C. Simultaneous determination of multiclass illegal dyes with different acidic–basic properties in foodstuffs by lc-ms/ms via polarity switching mode. Food Chem. 2020, 309, 125745. [Google Scholar] [CrossRef]
  20. Li, L.; Li, L.; Jin, Y.; Shuang, Y.; Wang, H. Preparation of a teicoplanin-bonded chiral stationary phase for simultaneous determination of clenbuterol and salbutamol enantiomers in meat by lc-ms/ms. Microchem. J. 2020, 157, 104925. [Google Scholar] [CrossRef]
  21. Ovidio, C.D.; Locatelli, M.; Perrucci, M.; Ciriolo, L.; Furton, K.G.; Gazioglu, I.; Kabir, A.; Merone, G.M.; de Grazia, U.; Ali, I.; et al. Lc-ms/ms application in pharmacotoxicological field: Current state and new applications. Molecules 2023, 28, 2127. [Google Scholar] [CrossRef] [PubMed]
  22. Aldubayyan, A.A.; Castrignanò, E.; Elliott, S.; Abbate, V. A quantitative lc–ms/ms method for the detection of 16 synthetic cathinones and 10 metabolites and its application to suspicious clinical and forensic urine samples. Pharmaceuticals 2022, 15, 510. [Google Scholar] [CrossRef] [PubMed]
  23. Shin, D.; Kang, H.; Kim, H.; Moon, G. Multi-class determination of 64 illicit compounds in dietary supplements using liquid chromatography–tandem mass spectrometry. Molecules 2020, 25, 4399. [Google Scholar] [CrossRef] [PubMed]
  24. Sibiya, I.; Poma, G.; Cuykx, M.; Covaci, A.; Daso Adegbenro, P.; Okonkwo, J. Targeted and non-target screening of persistent organic pollutants and organophosphorus flame retardants in leachate and sediment from landfill sites in Gauteng province, South Africa. Sci. Total Environ. 2019, 653, 1231–1239. [Google Scholar] [CrossRef] [PubMed]
  25. Knolhoff, A.M.; Kneapler, C.N.; Croley, T.R. Optimized chemical coverage and data quality for non-targeted screening applications using liquid chromatography/high-resolution mass spectrometry. Anal. Chim. Acta 2019, 1066, 93–101. [Google Scholar] [CrossRef] [PubMed]
  26. Kim, E.H.; Seo, H.S.; Ki, N.Y.; Park, N.; Lee, W.; Do, J.A.; Park, S.; Baek, S.Y.; Moon, B.; Oh, H.B.; et al. Reliable screening and confirmation of 156 multi-class illegal adulterants in dietary supplements based on extracted common ion chromatograms by ultra-high-performance liquid chromatography-quadrupole/time of flight-mass spectrometry. J. Chromatogr. A 2017, 1491, 43–56. [Google Scholar] [CrossRef] [PubMed]
  27. Hu, M.; Krauss, M.; Brack, W.; Schulze, T. Optimization of lc-orbitrap-hrms acquisition and mzmine 2 data processing for nontarget screening of environmental samples using design of experiments. Anal. Bioanal. Chem. 2016, 408, 7905–7915. [Google Scholar] [CrossRef] [PubMed]
  28. Pluskal, T.; Uehara, T.; Yanagida, M. Highly accurate chemical formula prediction tool utilizing high-resolution mass spectra, ms/ms fragmentation, heuristic rules, and isotope pattern matching. Anal. Chem. 2012, 84, 4396–4403. [Google Scholar] [CrossRef] [PubMed]
  29. Vaclavik, L.; Krynitsky, A.J.; Rader, J.I. Targeted analysis of multiple pharmaceuticals, plant toxins and other secondary metabolites in herbal dietary supplements by ultra-high performance liquid chromatography–quadrupole-orbital ion trap mass spectrometry. Anal. Chim. Acta 2014, 810, 45–60. [Google Scholar] [CrossRef]
  30. Lee, E.; Lee, J.H.; Han, K.M.; Kim, J.W.; Hwang, I.S.; Cho, S.; Han, S.Y.; Kim, J. Simultaneous determination of 38 phosphodiestrase-5 inhibitors in illicit erectile dysfunction products by liquid chromatography–electrospray ionization-tandem mass spectrometry. J. Pharmaceut. Biomed. 2013, 83, 171–178. [Google Scholar] [CrossRef]
  31. Lebel, P.; Gagnon, J.; Furtos, A.; Waldron, K.C. A rapid, quantitative liquid chromatography-mass spectrometry screening method for 71 active and 11 natural erectile dysfunction ingredients present in potentially adulterated or counterfeit products. J. Chromatogr. A 2014, 1343, 143–151. [Google Scholar] [CrossRef] [PubMed]
  32. Hermes, N.; Jewell, K.S.; Wick, A.; Ternes, T.A. Quantification of more than 150 micropollutants including transformation products in aqueous samples by liquid chromatography-tandem mass spectrometry using scheduled multiple reaction monitoring. J. Chromatogr. A 2018, 1531, 64–73. [Google Scholar] [CrossRef] [PubMed]
  33. Qie, M.; Zhao, Y.; Yang, S.; Wang, W.; Xu, Z. Rapid simultaneous determination of 160 drugs in urine and blood of livestock and poultry by ultra-high-performance liquid chromatography-tandem mass spectrometry. J. Chromatogr. A 2019, 1608, 460423. [Google Scholar] [CrossRef] [PubMed]
  34. Yin, Z.; Chai, T.; Mu, P.; Xu, N.; Song, Y.; Wang, X.; Jia, Q.; Qiu, J. Multi-residue determination of 210 drugs in pork by ultra-high-performance liquid chromatography–tandem mass spectrometry. J. Chromatogr. A 2016, 1463, 49–59. [Google Scholar] [CrossRef] [PubMed]
  35. Mostafa, A. Analysis of phosphodiesterase type 5 inhibitors and analogues as adulterants in herbal dietary food supplements in saudi market using green uplc-ms/ms method: Assessment of the greenness and whiteness profiles. Microchem. J. 2024, 203, 110867. [Google Scholar] [CrossRef]
  36. Tachi, M.; Kobayashi, S.; Tomita, K.; Tanahashi, T.; Imanishi, S.Y. Hierarchical clustering of liquid chromatography-tandem mass spectrometry data for screening of phosphodiesterase type 5 inhibitors and their analogues in adulterated dietary supplements. J. Chromatogr. A 2022, 1678, 463366. [Google Scholar] [CrossRef] [PubMed]
  37. Kimble, A.N.; Decaprio, A.P. Systematic analysis of novel psychoactive substances. Ii. Development of a screening/confirmatory lc-qqq-ms/ms method for 800+ compounds and metabolites in urine. Forensic Chem. 2019, 16, 100189. [Google Scholar] [CrossRef]
  38. Ambrosio, G.; Wirth, D.; Joseph, J.F.; Mazzarino, M.; de la Torre, X.; Botrè, F.; Parr, M.K. How reliable is dietary supplement labelling?—Experiences from the analysis of ecdysterone supplements. J. Pharmaceut. Biomed. 2020, 177, 112877. [Google Scholar] [CrossRef] [PubMed]
  39. Cooman, T.; Santos, H.; Cox, J.; Filho, J.F.A.; Borges, K.B.; Romão, W.; Arroyo-Mora, L.E. Development, validation and evaluation of a quantitative method for the analysis of twenty-four new psychoactive substances in oral fluid by lc–ms/ms. Forensic Chem. 2020, 19, 100231. [Google Scholar] [CrossRef]
  40. Yan, G.; Kaiser, K. A rapid and sensitive method for the analysis of lignin phenols in environmental samples using ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry with multiple reaction monitoring. Anal. Chim. Acta 2018, 1023, 74–80. [Google Scholar] [CrossRef]
  41. Caprioli, G.; Nzekoue, F.K.; Giusti, F.; Vittori, S.; Sagratini, G. Optimization of an extraction method for the simultaneous quantification of sixteen polyphenols in thirty-one pulse samples by using hplc-ms/ms dynamic-mrm triple quadrupole. Food Chem. 2018, 266, 490–497. [Google Scholar] [CrossRef] [PubMed]
Figure 1. EICs of 2-hydroxypropylnortadalafil (A) and vardenafil dimer (B).
Figure 1. EICs of 2-hydroxypropylnortadalafil (A) and vardenafil dimer (B).
Molecules 29 03601 g001
Table 1. The LODs and LOQs of 90 PDE-5is obtained in five different matrices.
Table 1. The LODs and LOQs of 90 PDE-5is obtained in five different matrices.
CompoundTablet
/(ng/g)
Capsule
/(ng/g)
Protein Powder
/(ng/g)
Healthful Wine
/(ng/mL)
Functional
Beverage/(ng/mL)
LODLOQ LODLOQ LODLOQ LODLOQ LODLOQ
Sildenafil4716275198792465215535101
Tadalafil5717373211712193612735115
Imidazosagatriazinone6117172210812365114439113
Gendenafil5617473234792544714727102
Acetil acid5817171216752224210835101
Xanthoanthrafil451476723775205381232595
Aminotadalafil4514779214672134615136125
Chloropretadalafil4715182233852265214053138
Piperiacetildenafil5216266205762404012544114
Noracetildenafil501577625071195339645126
Carbodenafil601656724275244501543298
Pseudovardenafil5718575210822554513939115
Norneosildenafil5114580237792524211935115
N-Desethylvardenafil5517380238712133811745143
N-Desmethylsildenafil4814585234812293610950141
Acetildenafil5415781235742065014142120
Hydroxyacetildenafil6317976205802314413436107
Avanafil471467220969221541443398
Aildenafil5515082197681954510545131
Homosildenafil6117173199742172910543130
Vardenafil5917979238722204814138123
Thiosildenafil6118380195832374515035103
Thiohomosildenafil5617177235752053711936112
Hydroxyvardenafil5014580212792425213742124
Hydroxyhomosildenafil6017582201842464113044125
Udenafil6518172222692203512541126
Hydroxythiohomosildenafil591848121270206319547140
Norneovardenafil5015065195772383810551153
Nitrodenafil6216873215732153912654149
Nortadalafil5016175223832404211640133
Chlorodenafil6017183241792344512952153
Hydroxychlorodenafil5817483207652033712939123
N-Butyltadalafil6418270245722254714735126
Desmethylcarbodenafil5316475198812493512050146
Descarbonsildenafil4715469205782335315438124
Dimethylacetildenafil6217573232731952910435120
Dithio-desmethylcarbodenafil5416184242752314411526103
Oxohongdenafil4815367245662224111148146
N-Octylnortadalafil5817872231662065314935130
Dioxohongdenafil5517684204812512810545117
Hydroxythiovardenafil6418565211752534715338118
Cyclopentynafil6518374225772494412245124
Propoxyphenyl thiohydroxyhomosildenafil6117683207752053612253154
Benzylsildenafil4716073221682055513754144
Cinnamyldenafil6117072210752114513835105
Lodenafil carbonate6317678214652184112228104
Propoxyphenylsildenafil4814479236742085214637115
Depiperazinothiosildenafil471396823968199319936119
Acetaminotadalafil4613676197692233611546140
2-Hydroxypropylnortadalafil4915285229832473410537125
Acetylvardenafil5216470201812424313252146
Propoxyphenyl hydroxyhomosildenafil6218577217722005013952140
Propoxyphenyl thioaildenafil5817669248832515114545125
Yohimbine5114182213722055315041107
Dapoxetine5518583214782404614835118
N-Desethylacetildenafil4515980212712134112839116
Desmethylthiosildenafil511417821283238289733101
N-Boc-N-desethyl acetildenafil6116771201662173812235114
N-Ethyltadalafil4615582215722164111539125
O-Desethylsildenafil6017379212722222810541117
Pyrazole N-desmethylsildenafil4915375252762463410029101
Isobutylsildenafil5515375239762534111735122
Sildenafil dimer impurity6118376230812453010354146
Vardenafil oxopiperazine4515170204652094311538115
Sildenafil N-oxide5918378208782285313537128
Vardenafil N-oxide501397719577245339942124
2-Hydroxyethylnortadalafil4816472198752094313142113
Vardenafil acetyl analogue4615267211711963511852143
Vardenafil dimer5817572231741983813051151
Mirodenafil5114568196762382610025105
Mutaprodenafil5414568220772453613154152
Thioquinapiperfil6317480214782414514531100
Aminosildenafil5618381201772375315337115
Desethylcarbodenafil6316672209692074210751154
Didescarbonsildenafil5316485196802504713941133
N-Phenylpropenyltadalafil5114372234842514613552153
N-Desethyl-N-methylvardenafil6217576200772403811653139
Thioaildenafil631727420971207461483099
Dichlorodenafil481588423065224361072595
Piperazonifil6416883253832363510844105
Propoxyphenyl thiosildenafil5917377223752433812531105
Propoxyphenyl thiohomosildenafil4614683195722253712645109
Dithiodesethyl carbodenafil4714976220741964312949145
Hydroxythioacetildenafil6518569215852394614536111
Tadalafil dichloro impurity5115479234792273511237107
Sildenafil impurity 125215685231802363612735115
Demethylpiperaziny sildenafil sulfonic acid5618468221762434110642114
Propoxyphenyl aildenafil4714175233782265514638106
Sildenafil impurity 145313582253692023813337121
Propoxyphenylisobutyl aildenafil5618372225822354012252147
Table 2. The average recoveries of 90 PDE-5is obtained in five matrices (tablets, capsules, protein powder, healthful wine, and functional beverages) at 15 ng/mL, 80 ng/mL, and 150 ng/mL. The average inter-day precision was obtained using six replicates of the same solution as the recoveries mentioned above. The inter-day precision was obtained by continuous determination for three days of the same solution as the intra-day precision mentioned above.
Table 2. The average recoveries of 90 PDE-5is obtained in five matrices (tablets, capsules, protein powder, healthful wine, and functional beverages) at 15 ng/mL, 80 ng/mL, and 150 ng/mL. The average inter-day precision was obtained using six replicates of the same solution as the recoveries mentioned above. The inter-day precision was obtained by continuous determination for three days of the same solution as the intra-day precision mentioned above.
CompoundTablet/%Capsule/%Protein Powder/%Healthful Wine/%Functional Beverage/%
Average RecoveryAverage Intra-Day PrecisionAverage Inter-Day PrecisionAverage RecoveryAverage Intra-Day PrecisionAverage Inter-Day PrecisionAverage RecoveryAverage Intra-Day PrecisionAverage Inter-Day PrecisionAverage RecoveryAverage Intra-Day PrecisionAverage Inter-Day PrecisionAverage RecoveryAverage Intra-Day PrecisionAverage Inter-Day Precision
Sildenafil98.789.6410.3390.997.514.1284.699.993.3385.009.8110.0493.568.4213.66
Tadalafil85.175.4211.6895.336.919.1986.456.388.52107.057.689.7894.134.655.18
Imidazosagatriazinone96.402.484.1496.208.4011.5389.948.529.22100.746.4612.4491.113.2413.02
Gendenafil84.196.8910.7984.107.429.9790.175.1811.0585.143.638.3597.958.4810.56
Acetil acid86.979.353.1784.078.104.9687.876.256.15102.588.5211.0997.165.916.87
Xanthoanthrafil86.696.818.3786.536.615.8387.114.302.4991.433.1810.5499.8410.815.52
Aminotadalafil90.067.018.6493.214.202.3381.325.151.72103.702.986.3692.809.9410.50
Chloropretadalafil96.5710.5011.5691.662.407.6791.887.187.5281.128.839.3291.188.705.79
Piperiacetildenafil97.537.014.7884.689.155.3485.633.357.4285.629.718.9195.273.439.63
Noracetildenafil97.009.053.9182.917.491.0291.664.532.66104.246.506.9292.499.0612.67
Carbodenafil94.676.165.8284.018.3312.0891.774.504.05101.604.636.3292.253.9911.13
Pseudovardenafil98.906.636.5780.026.935.8384.219.103.5398.733.1710.1091.058.4311.20
Norneosildenafil95.607.843.1284.028.666.0086.449.289.17101.6310.7212.9094.666.7410.19
N-Desethylvardenafil101.802.427.9782.117.615.6588.429.292.8196.965.125.4295.294.827.18
N-Desmethylsildenafil99.989.867.8394.375.359.8085.312.637.0586.369.766.6496.943.8310.39
Acetildenafil102.858.659.3793.109.389.9987.5810.876.3883.184.047.9693.525.6211.59
Hydroxyacetildenafil89.559.489.1786.142.354.7985.574.5511.82101.887.587.69102.836.855.75
Avanafil96.935.7511.4082.279.785.0486.898.146.17110.996.7010.1692.674.108.21
Aildenafil100.113.863.6992.316.695.2385.974.8811.88103.627.088.4095.533.8111.04
Homosildenafil88.958.002.3780.895.5110.4081.127.397.7982.459.0913.1091.5410.8413.71
Vardenafil97.489.791.0396.384.059.0690.2810.292.4081.813.597.4898.524.3612.73
Thiosildenafil99.3410.6811.8784.718.535.2482.042.3210.9484.585.086.7091.967.3810.63
Thiohomosildenafil91.286.296.4189.299.373.6787.763.247.9398.287.317.3296.675.7411.33
Hydroxyvardenafil98.943.197.7080.406.245.0389.156.214.9184.783.408.5597.529.839.58
Hydroxyhomosildenafil85.072.046.2795.437.344.9387.508.2511.7589.325.999.5795.333.725.79
Udenafil102.396.343.8894.367.613.0189.954.588.24100.378.999.14103.103.228.33
Hydroxythiohomosildenafil104.8410.471.6787.767.715.7587.1210.225.71111.527.8312.01100.816.649.74
Norneovardenafil100.867.399.2183.746.419.9582.175.9710.72104.309.349.23104.656.746.80
Nitrodenafil80.707.063.1182.867.583.2483.027.9110.6985.496.175.0699.176.119.44
Nortadalafil99.354.5910.5487.606.3912.1381.856.597.0984.865.617.32101.355.9312.63
Chlorodenafil97.792.677.7985.898.133.7986.076.545.60109.578.4213.88100.997.5411.78
Hydroxychlorodenafil87.413.875.0282.122.366.1091.053.332.9090.364.989.97104.753.529.02
N-Butyltadalafil94.329.8411.7891.102.516.9890.658.447.4687.093.6114.1298.908.018.57
Desmethylcarbodenafil86.979.527.3686.397.267.0689.826.612.9393.175.8012.3299.433.947.51
Descarbonsildenafil89.392.627.9789.068.591.1782.4710.485.5588.765.485.10106.534.969.14
Dimethylacetildenafil104.064.0112.3886.558.104.3490.964.953.54100.194.7613.35103.168.479.03
Dithio-desmethylcarbodenafil97.975.249.2981.686.348.2586.803.788.3484.313.9111.67100.936.4011.36
Oxohongdenafil96.195.133.7483.737.078.8992.429.254.5280.363.889.59101.957.866.26
N-Octylnortadalafil100.638.456.6795.724.284.0383.018.208.3299.047.428.5698.032.288.33
Dioxohongdenafil95.998.208.3294.206.525.6787.315.025.5780.518.078.2797.184.937.27
Hydroxythiovardenafil105.128.592.9685.348.273.2883.695.105.87107.109.4011.81100.689.319.33
Cyclopentynafil89.987.7711.6991.358.269.8790.245.976.95102.718.8912.4499.073.8314.17
Propoxyphenyl thiohydroxyhomosildenafil96.086.6512.6095.535.316.8686.285.2110.8996.163.5713.10106.468.428.98
Benzylsildenafil101.297.352.4082.772.347.9690.307.462.9394.179.287.22100.305.7213.26
Cinnamyldenafil101.941.302.9282.415.229.3086.778.9510.34110.824.416.59108.0610.5513.55
Lodenafil carbonate100.281.419.3881.206.3210.9889.5510.387.8584.093.7512.78101.634.187.11
Propoxyphenylsildenafil97.573.206.4985.205.2711.1085.096.407.39105.784.707.04102.197.978.43
Depiperazinothiosildenafil87.907.919.2981.049.214.8588.156.633.36100.477.9114.1299.678.3413.16
Acetaminotadalafil85.682.703.3682.823.2310.7693.007.033.0487.724.395.4699.468.3213.76
2-Hydroxypropylnortadalafil104.070.673.8286.831.505.3281.864.392.69102.506.189.64102.947.268.71
Acetylvardenafil96.463.516.1585.106.985.9984.339.202.5882.553.039.23101.085.899.89
Propoxyphenyl hydroxyhomosildenafil95.635.472.9589.975.3910.6881.416.168.8189.534.1510.10104.903.708.03
Propoxyphenyl thioaildenafil96.755.429.0494.842.642.6983.975.920.27111.0510.9812.31107.626.609.81
Yohimbine95.434.259.0185.401.419.5884.738.203.4781.944.519.7187.407.896.36
Dapoxetine81.953.656.8395.088.1611.4586.489.496.5896.195.2410.83106.547.3612.59
N-Desethylacetildenafil100.248.214.2995.388.867.8681.098.2010.92101.267.098.8495.568.1414.04
Desmethylthiosildenafil103.952.096.6081.945.129.1885.508.611.7492.615.557.96108.099.4613.57
N-Boc-N-desethyl acetildenafil90.857.0810.7695.393.039.3487.913.108.2090.054.4111.50101.582.1012.24
N-Ethyltadalafil91.428.786.5083.176.0810.5589.666.085.2283.453.638.3998.563.7814.66
O-Desethylsildenafil102.518.7211.6094.876.088.3891.354.952.8493.789.1912.0096.693.0913.27
Pyrazole N-desmethylsildenafil102.085.4411.5980.021.147.9891.275.449.7597.775.3810.0099.012.7813.12
Isobutylsildenafil97.508.298.6881.993.885.6690.054.277.3182.919.405.91102.939.336.74
Sildenafil dimer impurity100.043.6510.9383.951.585.3684.079.2411.4788.439.2311.1998.968.0310.68
Vardenafil oxopiperazine97.743.808.6693.226.659.1389.289.641.12101.695.2713.1699.654.406.20
Sildenafil N-oxide98.837.674.9282.124.867.7890.966.5611.81109.3410.967.5897.578.736.33
Vardenafil N-oxide89.978.808.4682.6510.367.4687.489.587.69103.998.629.1784.978.1114.85
2-Hydroxyethylnortadalafil87.112.008.5793.593.429.5587.005.3411.4185.914.646.4399.143.787.74
Vardenafil acetyl analogue96.475.424.1592.596.8410.4088.883.313.2282.883.2711.77102.887.3013.97
Vardenafil dimer93.802.107.5580.155.205.4284.296.798.9182.6910.848.85100.769.259.18
Mirodenafil100.798.423.3889.375.656.6086.073.926.6481.093.329.68105.413.6813.96
Mutaprodenafil93.656.057.0990.887.456.6789.3710.043.68105.432.8311.13107.853.9612.50
Thioquinapiperfil84.857.5010.2087.744.644.1889.3110.806.9083.939.107.1594.077.7412.15
Aminosildenafil93.252.2710.3287.229.885.2785.814.946.8398.063.595.5195.007.5612.01
Desethylcarbodenafil83.8610.477.4587.146.874.1489.727.987.5687.475.998.11100.234.9913.78
Didescarbonsildenafil92.110.115.7582.778.208.4689.877.855.8588.709.9912.15101.948.869.45
N-Phenylpropenyltadalafil87.5010.3410.3486.059.306.7282.265.038.4096.803.515.4396.589.047.97
N-Desethyl-N-methylvardenafil87.216.734.1281.825.397.1382.499.993.0989.7610.9711.0898.924.585.93
Thioaildenafil91.191.719.4883.486.335.6288.656.279.7193.207.815.08105.736.458.99
Dichlorodenafil93.008.819.1595.959.243.8092.053.552.1792.108.556.19106.934.6010.32
Piperazonifil91.116.467.8690.378.2312.4984.646.719.8594.177.1313.74100.263.937.41
Propoxyphenyl thiosildenafil85.714.297.7186.255.4010.2591.409.913.6888.446.8210.6883.402.1310.85
Propoxyphenyl thiohomosildenafil84.746.363.1689.177.657.7783.327.732.6499.304.929.65108.8610.7611.14
Dithiodesethyl carbodenafil82.647.8110.7985.325.985.3983.787.074.2880.854.628.1896.974.4513.02
Hydroxythioacetildenafil98.444.416.9796.254.255.3981.426.5111.1293.0010.9212.5898.764.776.29
Tadalafil dichloro impurity95.273.2610.8793.537.2110.2583.194.092.3787.5410.3114.15102.203.418.02
Sildenafil impurity 12103.090.946.4085.959.229.8683.809.5112.5392.335.8011.36103.128.0211.72
Demethylpiperaziny sildenafil sulfonic acid101.101.945.4694.765.004.4485.445.111.3799.904.9713.4890.008.0211.20
Propoxyphenyl aildenafil96.145.9311.3086.7510.776.7090.9910.071.3592.086.0813.2997.739.0710.56
Sildenafil impurity 1491.7910.1610.4182.573.137.7288.253.284.2095.079.1012.9289.2810.2410.71
Propoxyphenylisobutyl aildenafil95.728.185.6592.064.979.0590.022.257.7391.6210.737.99101.906.806.89
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Jin, S.; Wang, Y.; Ning, X.; Liu, T.; Liang, R.; Pei, X.; Cao, J. UPLC-MS/MS-Based Target Screening of 90 Phosphodiesterase Type 5 Inhibitors in 5 Dietary Supplements. Molecules 2024, 29, 3601. https://doi.org/10.3390/molecules29153601

AMA Style

Jin S, Wang Y, Ning X, Liu T, Liang R, Pei X, Cao J. UPLC-MS/MS-Based Target Screening of 90 Phosphodiesterase Type 5 Inhibitors in 5 Dietary Supplements. Molecules. 2024; 29(15):3601. https://doi.org/10.3390/molecules29153601

Chicago/Turabian Style

Jin, Shaoming, Yaonan Wang, Xiao Ning, Tongtong Liu, Ruiqiang Liang, Xinrong Pei, and Jin Cao. 2024. "UPLC-MS/MS-Based Target Screening of 90 Phosphodiesterase Type 5 Inhibitors in 5 Dietary Supplements" Molecules 29, no. 15: 3601. https://doi.org/10.3390/molecules29153601

Article Metrics

Back to TopTop