Skip to main content
International Journal of Analytical Chemistry logoLink to International Journal of Analytical Chemistry
. 2024 Feb 27;2024:8664723. doi: 10.1155/2024/8664723

Validation and Application of Screen-Printed Microchip for Potentiometric Determination of Metformin Hydrochloride in Tablet Dosage Form

Mohammed Alqarni 1, Abdullah A Alshehri 2, Hassan Arida 1,
PMCID: PMC10914426  PMID: 38445178

Abstract

Metformin is an oral biguanides hypoglycaemic agent, which used to lower the blood glucose levels in people with type 2 diabetes mellitus. Many analytical techniques have been used to quantify the drug in different pharmaceutical dosage forms; however, most of these methods have limited throughput in the quality control application. A disposable potentiometric microsensor responsive to metformin has recently been reported. For the first time, herein, this method of analysis has been validated according to IUPAC recommendations and successfully applied in the determination of metformin drug in some dosage form. Different drug formulations of metformin hydrochloride have been collected from the local pharmaceutical stores in Saudi Arabia and analysed using the validated microchip-based method of analysis. Subsequently, the results of this study showed that the validated method was linear, specific, precise, and accurate. The linear range was 1 × 10−1–1 × 10−5 mol L−1 and the correlation coefficient was 0.999. The limit of detection was 2.89 × 10−6 mol L−1, and the limit of quantification was 8.77 × 10−6 mol L−1. This method demonstrated high precision, with an RSD% of less than 2.22%. The accuracy of this method was obtained by comparing the recovery percentage with percentage values less than 5%. The results obtained showed that there was no significant difference between the references, label, and recovery of less than 5%.

1. Introduction

Metformin (MTE) is the most frequently prescribed oral medication as a treatment for people with type 2 diabetes. It lowers blood glucose levels and increases insulin sensitivity in the body, preventing potential diabetic complications such as eye damage, kidney damage, nerve damage, and sexual dysfunction [15]. MET is also a preferred antidiabetic drug due to its high efficacy, good safety profile, and low cost [6]. Furthermore, considerable effectiveness of MET on obesity [7], cardiovascular diseases [8], liver diseases [9], cancers [10, 11], and renal diseases [12] were reported. MET hydrochloride (also known as N, N dimethyl imido dicarbonimidic diamide hydrochloride) has the empirical formula C4H11N5.HCl and a molecular weight of 165.63 g/mol. Subsequently, because of its ubiquitous usage, continuous monitoring of MET levels in pharmaceutical formulations and in human plasma has long been a crucial concern. Since the quality of pharmaceutical formulations generally determines the efficacy and safety of MET treatment.

MET quality control (QC) generally requires an assay with a high throughput capability. For the purpose of determining MET, several instrumental techniques have been developed [13]. These techniques include high-performance liquid chromatography [14, 15], UV-visible spectrophotometry [1618], LC-MS/MS [19, 20], electrochemical methods of analysis [2125], spectrofluorimetric methods [26], and varied HPTLC techniques [2729]. Spectrophotometric assays are considered practical procedures due to their high sensitivity, simplicity, low cost, and wide accessibility in laboratories. However, a majority of these assays have substantial limitations, such as low selectivity because their measurements are made in the UV region [3032], decreased assay procedure simplicity, and laborious liquid–liquid extraction stages [3335]. Furthermore, due to differences in the chemical structures of MET, these assays were developed individually. Thin-film microelectrode development, on the other hand, has recently received more interest than previous techniques due to its inherent simplicity, high sensitivity, quick analysis, low cost, large-scale production, and automated and integrated feasibility [3642].

Consequently, scientists and researchers have been developing analytical techniques with high-throughput capacities to increase the QC analysis and improve its productivity. High-throughput assays enable researchers to efficiently process massive quantities of samples; hence, uniformity of pharmaceutical formulations, rapid identification of active substances, and other pharmaceutical industry operations which could be achieved. Recently, Alfadhel et al. [23] fabricated a novel disposable microchip that demonstrated significant reliability, good credibility, low cost, and rapid determination of MET. Therefore, this research aimed to validate and investigate the realized potentiometric microsensor for the QC application of MET for the first time.

2. Materials and Methods

2.1. Apparatus and Tools

A Jenway (model 3510) pH/mV meter and Jenway combination pH electrode for all pH experiments were used for electrochemical characterization measurements. The metformin-based microchip (Figure 1) has been fabricated, characterized, and used in the metformin analysis as described in our previous work [23]. For MET detection, the microchip was used as the working electrode which based on a tetraphenyl borate/MET ion pair modified with carbon nanotubes in conjunction with the reference electrode (metrohm double junction electrode), as mentioned in the previous teamwork [23]. Double-distilled water was obtained from an Aquatron water distiller (A4000D, Bibby Scientific, UK, 1.0 MΩ cm−1), and it was used to prepare the samples and rinse the glassware.

Figure 1.

Figure 1

Photographic picture of fabricated screen-printed microchip assemblies [23].

2.2. Standards Pharmaceutical Formulation and Reagents

The MET hydrochloride raw material (purity: 99.6%) was a gift supplied by Aljazerah Industry from Auro laboratories company (India). Four strengths of MET hydrochloride were purchased from the local pharmacies in Saudi Arabia. The origin of these pharmaceutical formulations was Oman, Saudi Arabia, and France with strengths labelled to containing 500, 750, 850, and 1000 mg MET hydrochloride, respectively.

2.3. Preparation of Standard and Sample Solutions

Stock standard solutions (1 × 10−1 mol L−1) of MET were prepared by dissolving an accurately weighed amount (1.66 g) of the standard material in 100 mL of deionized water. These stock solutions were stable for at least two weeks when kept in a refrigerator at 5°C. The working solutions were prepared by diluting stock solution with deionized water to make different concentrations: 1 × 10−5–1 × 10–2 mol L−1 for MET. Both stock and working solutions were kept in a refrigerator at 5°C.

For the preparation of pharmaceutical formulation sample solutions, three tablets from each of the different studied brands were weighed and finely pulverized. Then, a quantity of 100 mg of the MET from each drug brand powder was transferred into a volumetric flask and dissolved in approximately 100 mL of deionized water, mixed for 15 min, and then sonicated for 30 min. These solutions were then maintained in a refrigerator at 5°C.

2.4. General Procedures

In the electrochemical validation of the used method, the MET microchip and reference electrode were immersed in the calibration standards solutions, and the EMV and mV of the cell were recorded versus the concentration of MET. The potentiometric validation studies were performed at room temperature (25 ± 2°C). The calibration curves were obtained by plotting subtract logarithm of concentrations against the cell potential, mV. The quantifications of MET samples were achieved under the same conditions. Then, the sample concentrations were calculated by using the linear equations of the calibration curves of MET.

3. Results and Discussion

The metformin-based microchip was characterized in terms of sensitivity, selectivity, effect of pH, and response time and reported in our previous work [23]. The organic layer membrane is frequently employed in chemical electrodes due to its great selectivity, sensitivity, and simplicity. Because of the preceding advantages, a selective microchip electrode was constructed in this work to determine the MET hydrochloride in the solutions. The sensitivity of microchips demonstrates that they have significant merits in detecting MET hydrochloride in solutions and in tablet dosage form. There are numerous advantages to using this method, which are rapid, small size, simple, and costless [23].

3.1. Validation of Proposed Assays

3.1.1. Linearity and Sensitivity

The linearity, selectivity, and sensitivity of metformin hydrochloride are detected by microchips. Calibration graphs were constructed for the detection of MET in aqueous media using a potentiometric microchip (Figure 2). The regression equation of MET was derived, and the results are presented in Table 1. The obtained data shows that the correlation coefficients (r2) of MET was 0.999. The limits of detection (LOD) and limits of quantification (LOQ) were detected. The LOD and LOQ values of MET were found to be 2.89 × 10–6 mol L−1 and 8.77 × 10–6 mol L−1, respectively.

Figure 2.

Figure 2

Potentiometric calibration of MET based microchip.

Table 1.

Quantitative parameter of linearity.

Parameter MET
Linear range (mol L−1) 0.00001–0.1
Intercept 56.02
Slope 33.98
Correlation coefficient (r) 0.999
LOD, (mol L−1) 2.89 × 10−6
LOQ, (mol L−1) 8.77 × 10−6

3.1.2. Precision and Accuracy

Replicate analysis of drug solutions at three distinct concentrations was used to assess the precision of potentiometric microchip assays for MET (Table 2). The average relative standard deviation (RSD) of the proposed drug in potentiometric microchips did not exceed 4% for MET (Table 2).

Table 2.

MET intra and interday assay precision data (n = 3).

Component Theoretical concentration (mol L−1) Measured conc. (mol L−1), RSD (%)
Intra-day Inter-day
MET 0.0002 0.000205 (3.45) 0.000209 (3.73)
0.002 0.00206 (1.41) 0.00209 (3.06)
0.02 0.0202 (1.78) 0.0206 (1.17)

Eventually, the accuracy of the proposed assays was evaluated by determining the recovery percentage of different concentrations. The values presented in the table show that the recovery percentage of all tested drugs was less than 5% (Table 3).

Table 3.

MET % recovery studies and % RSD (n = 3).

Component Concentration, (mol L−1) % recovery (average) SD × 10−4 % RSD
MET 0.0002 102.56 0.071 3.45
0.002 103.13 0.29 1.41
0.02 100.97 3.6 1.78

3.2. Determination of MET in Pharmaceutical Formulations

Commercially available pharmaceutical dosage forms of MET were analysed using the validated method. The mean percentage recovery relative to the label amounts obtained by previous methods is shown in Table 4. The results indicate that there was no significant difference between the references, label, and recovery which was less than 5% (Table 4).

Table 4.

Metformin hydrochloride in commercially available pharmaceutical formulations data (n = 3).

No. Commercially available pharmaceutical formulations Origin Weight of tablet (gm) Added (nominated) value (mg) Measured value (mg) Recovery (%)
1 Tablet, 500 Oman 0.602 83.0 74.5 89.7
2 Tablet, 750 Saudi Arabia 1.093 68.0 68.5 100.7
3 Tablet, 850 France 0.897 94.0 91.1 96.9
4 Tablet, 1000 France 1.071 93.4 88.6 94.8
Average recovery 95.5

4. Conclusions

This study demonstrates the validation of a recently developed disposable potentiometric microsenor which responsive for the measurement of MET hydrochloride in pharmaceutical formulations for the first time. The potentiometric method depends on tetraphenyl borate: a MET ion pair complex ionophore modified with 5% CNTs sensitive to the MET drug. In addition, this method based on disposable chip assembly, which is used as a low-cost analytical tool (economic), has a rapid response time of less than 10 seconds and is an environmentally friendly “Green” approach. In terms of analytical procedure simplicity, it is a recommended approach for MET hydrochloride and can be employed in high-throughput systems. The proposed approach also offers the merit of determining MET hydrochloride using a single system. These advantages support the use of proposed methodologies as an alternative to current methods in quality control laboratories for regular MET hydrochloride testing.

Acknowledgments

We would like to acknowledge the Deanship of Scientific Research at the Taif University for funding this work.

Data Availability

The data used to support the findings of this study are included within the article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

  • 1.Bailey C. J., Turner R. C. Metformin. New England Journal of Medicine . 1996;334(9):574–579. doi: 10.1056/NEJM199602293340906. [DOI] [PubMed] [Google Scholar]
  • 2.DeFronzo R. A., Barzilai N., Simonson D. C. Mechanism of metformin action in obese and lean noninsulin-dependent diabetic subjects. Journal of Clinical Endocrinology and Metabolism . 1991;73(6):1294–1301. doi: 10.1210/jcem-73-6-1294. [DOI] [PubMed] [Google Scholar]
  • 3.Foretz M., Guigas B., Viollet B. Understanding the glucoregulatory mechanisms of metformin in type 2 diabetes mellitus. Nature Reviews Endocrinology . 2019;15(10):569–589. doi: 10.1038/s41574-019-0242-2. [DOI] [PubMed] [Google Scholar]
  • 4.Nathan D. M. J. N. E. Long-term complications of diabetes mellitus. New England Journal of Medicine . 1993;328(23):1676–1685. doi: 10.1056/nejm199306103282306. [DOI] [PubMed] [Google Scholar]
  • 5.Chawla R., Chawla A., Jaggi S. Microvasular and macrovascular complications in diabetes mellitus: distinct or continuum? Indian Journal of Endocrinology and Metabolism . 2016;20(4):546–551. doi: 10.4103/2230-8210.183480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Inzucchi S. E., Maggs D. G., Spollett G. R., et al. Efficacy and metabolic effects of metformin and troglitazone in type II diabetes mellitus. New England Journal of Medicine . 1998;338(13):867–873. doi: 10.1056/NEJM199803263381303. [DOI] [PubMed] [Google Scholar]
  • 7.Breining P., Jensen J. B., Sundelin E. I., et al. Metformin targets brown adipose tissue in vivo and reduces oxygen consumption in vitro. Diabetes, Obesity and Metabolism . 2018;20(9):2264–2273. doi: 10.1111/dom.13362. [DOI] [PubMed] [Google Scholar]
  • 8.Lamanna C., Monami M., Marchionni N., Mannucci E. Effect of metformin on cardiovascular events and mortality: a meta-analysis of randomized clinical trials. Diabetes, Obesity and Metabolism . 2011;13(3):221–228. doi: 10.1111/j.1463-1326.2010.01349.x. [DOI] [PubMed] [Google Scholar]
  • 9.Bhat A., Sebastiani G., Bhat M. Systematic review: preventive and therapeutic applications of metformin in liver disease. World Journal of Hepatology . 2015;7(12):1652–1659. doi: 10.4254/wjh.v7.i12.1652. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Morales D. R., Morris A. D. Metformin in cancer treatment and prevention. Annual Review of Medicine . 2015;66(1):17–29. doi: 10.1146/annurev-med-062613-093128. [DOI] [PubMed] [Google Scholar]
  • 11.Gandini S., Puntoni M., Heckman-Stoddard B. M., et al. Metformin and cancer risk and mortality: a systematic review and meta-analysis taking into account biases and confounders. Cancer Prevention Research . 2014;7(9):867–885. doi: 10.1158/1940-6207.capr-13-0424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Neven E., Vervaet B., Brand K., et al. Metformin prevents the development of severe chronic kidney disease and its associated mineral and bone disorder. Kidney International . 2018;94(1):102–113. doi: 10.1016/j.kint.2018.01.027. [DOI] [PubMed] [Google Scholar]
  • 13.Judeh A. A., Sarief A., Umar Y., Ashwaq O., Haque S. M. J. J.C. C. S. Development, computational studies and validation of spectrophotometric method of metformin hydrochloride in pharmaceutical formulations. Journal of the Chilean Chemical Society . 2020;65(3):4895–4899. doi: 10.4067/s0717-97072020000204895. [DOI] [Google Scholar]
  • 14.Chhetri H. P., Thapa P., Van Schepdael A. Simple HPLC-UV method for the quantification of metformin in human plasma with one-step protein precipitation. Saudi Pharmaceutical Journal . 2014;22(5):483–487. doi: 10.1016/j.jsps.2013.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Shakoor A., Ahmed M., Ikram R., et al. Stability-indicating RP-HPLC method for simultaneous determination of metformin hydrochloride and vildagliptin in tablet and biological samples. Acta Chromatographica . 2020;32(1):39–43. doi: 10.1556/1326.2019.00555. [DOI] [Google Scholar]
  • 16.Pundir C. S., Deswal R., Narwal V., Narang J. J. C. A. C. Quantitative analysis of metformin with special emphasis on sensors: a review. Current Analytical Chemistry . 2018;14(5):438–445. doi: 10.2174/1573411013666170907150509. [DOI] [Google Scholar]
  • 17.da Trindade M. T., Kogawa A. C., Salgado H. R. N. Metformin: a review of characteristics, properties, analytical methods and impact in the green chemistry. Critical Reviews in Analytical Chemistry . 2018;48(1):66–72. doi: 10.1080/10408347.2017.1374165. [DOI] [PubMed] [Google Scholar]
  • 18.Abdel-Ghany M. F., Abdel-Aziz O., Ayad M. F., Tadros M. M. J. S. A. P. A. M., Spectroscopy B. Validation of different spectrophotometric methods for determination of vildagliptin and metformin in binary mixture. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy . 2014;125:175–182. doi: 10.1016/j.saa.2014.01.055. [DOI] [PubMed] [Google Scholar]
  • 19.Polagani S. R., Pilli N. R., Gajula R., Gandu V. Simultaneous determination of atorvastatin, metformin and glimepiride in human plasma by LC–MS/MS and its application to a human pharmacokinetic study. Journal of Pharmaceutical Analysis . 2013;3(1):9–19. doi: 10.1016/j.jpha.2012.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chaudhari K., Wang J., Xu Y., et al. Determination of metformin bio-distribution by LC-MS/MS in mice treated with a clinically relevant paradigm. PLoS One . 2020;15(6) doi: 10.1371/journal.pone.0234571.234571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Ghanbari M. H., Sharafi P., Nayebossadr S., Norouzi Z. J. M. A. Utilizing a nanocomposite consisting of zinc ferrite, copper oxide, and gold nanoparticles in the fabrication of a metformin electrochemical sensor supported on a glassy carbon electrode. Microchimica Acta . 2020;187(10):557–568. doi: 10.1007/s00604-020-04529-8. [DOI] [PubMed] [Google Scholar]
  • 22.E Obaya Valdivia A., Montaño Osornio C., Marina Vargas-Rodríguez Y. PBL with the application of multiple and nonlinear linear regression in chemical kinetics and catalysis. American Journal of Educational Research . 2021;9(1):31–37. doi: 10.12691/education-9-1-4. [DOI] [Google Scholar]
  • 23.Alfadhel M., Alrobaian M., Arida H. Fabrication of new potentiometric microsensor for metformin based on modified screen-printed microchip. International Journal of Electrochemical Science . 2021;16(6) doi: 10.20964/2021.06.68.210660 [DOI] [Google Scholar]
  • 24.El-Shal M. A., Azab S. M., Hendawy H. A. A facile nano-iron oxide sensor for the electrochemical detection of the anti-diabetic drug linagliptin in the presence of glucose and metformin. Bulletin of the National Research Centre . 2019;43:95–98. doi: 10.1186/s42269-019-0132-8. [DOI] [Google Scholar]
  • 25.Gholivand M. B., Shamsipur M., Paimard G., Feyzi M., Jafari F. Synthesis of Fe–Cu/TiO2 nanostructure and its use in construction of a sensitive and selective sensor for metformin determination. Materials Science and Engineering: C . 2014;42:791–798. doi: 10.1016/j.msec.2014.05.077. [DOI] [PubMed] [Google Scholar]
  • 26.Zhang G.-Q., Zhang X.-Y., Luo Y.-X., et al. A flow injection fluorescence “turn-on” sensor for the determination of metformin hydrochloride based on the inner filter effect of nitrogen-doped carbon dots/gold nanoparticles double-probe. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy . 2021;250 doi: 10.1016/j.saa.2020.119384.119384 [DOI] [PubMed] [Google Scholar]
  • 27.Thomas A. B., Patil S. D., Nanda R. K., Kothapalli L. P., Bhosle S. S., Deshpande A. D. J. S. P. J. Stability-indicating HPTLC method for simultaneous determination of nateglinide and metformin hydrochloride in pharmaceutical dosage form. Saudi Pharmaceutical Journal . 2011;19(4):221–231. doi: 10.1016/j.jsps.2011.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Srivani J., Umamahesh B., Veeresham C. J. I. J. P. P. S. Development and validation of stability indicating HPTLC method for simultaneous determination of linagliptin and metformin. International Journal of Pharmacy and Pharmaceutical Sciences . 2016;8(1):112–115. [Google Scholar]
  • 29.Abdelrahman A. E., Maher H. M., Alzoman N. Z. J. C. A. C. HPTLC method for the determination of metformin hydrochloride, saxagliptin hydrochloride, and dapagliflozin in pharmaceuticals. Current Analytical Chemistry . 2020;16(5):609–619. doi: 10.2174/1573407215666190131123029. [DOI] [Google Scholar]
  • 30.Venugopal K., Saha R. N. J. I. F. New, simple and validated UV-spectrophotometric methods for the estimation of gatifloxacin in bulk and formulations. Il Farmaco . 2005;60(11-12):906–912. doi: 10.1016/j.farmac.2005.08.010. [DOI] [PubMed] [Google Scholar]
  • 31.Salgado H. R. N., Oliveira C. L. C. G. Development and validation of an UV spectrophotometric method for determination of gatifloxacin in tablets. Die Pharmazie . 2005;60(4):263–264. [PubMed] [Google Scholar]
  • 32.Hopkala H., Kowalczuk D. J. A. P. P. Application of derivative UV spectrophotometry for the determination of ciprofloxacin, norfloxacin and ofloxacin in tablets. Acta Poloniae Pharmaceutica . 2000;57(1):3–13. [PubMed] [Google Scholar]
  • 33.Amin A. S., Issa Y. M. J. M. A. Spectrophotometric microdetermination of some pharmaceutically impor tant aminoquinoline antimalarials, as ion-pair complexes. Microchimica Acta . 2000;134(3-4):133–138. doi: 10.1007/s006040070028. [DOI] [Google Scholar]
  • 34.Gowda B. G., Seetharamappa J. J. A. S. Extractive spectrophotometric determination of fluoroquinolones and antiallergic drugs in pure and pharmaceutical formulations. Analytical Sciences . 2003;19(3):461–464. doi: 10.2116/analsci.19.461. [DOI] [PubMed] [Google Scholar]
  • 35.El-Brashy A. M., El-Sayed Metwally M., El-Sepai F. A. Spectrophotometric determination of some fluoroquinolone antibacterials by binary complex formation with xanthene dyes. Il Farmaco . 2004;59(10):809–817. doi: 10.1016/j.farmac.2004.07.001. [DOI] [PubMed] [Google Scholar]
  • 36.Saini A., Gallardo-Gonzalez J., Baraket A., et al. A novel potentiometric microsensor for real-time detection of Irgarol using the ion-pair complex [Irgarol-H]+[Co (C2B9H11) 2] Sensors and Actuators B: Chemical . 2018;268:164–169. doi: 10.1016/j.snb.2018.04.070. [DOI] [Google Scholar]
  • 37.Arida H. Novel pH microsensor based on a thin film gold electrode modified with lead dioxide nanoparticles. Microchimica Acta . 2015;182(1-2):149–156. doi: 10.1007/s00604-014-1311-9. [DOI] [Google Scholar]
  • 38.Gallardo-Gonzalez J. A highly sensitive potentiometric amphetamine microsensor based on all-solid-state membrane using a new ion-par complex,[3, 3′-Co (1, 2-closo-C2B9H11)2]− C9H13NH+ Proceedings . 2017 [Google Scholar]
  • 39.Arida H., Al-Hajry A., Maghrabi I. A. New micro-sensor chip integrated with potassium zinc hexacyanoferrate (II) nano-composite for potentiometric determination of cesium (I) International Journal of Electrochemical Science . 2015;10(12):10478–10490. doi: 10.1016/s1452-3981(23)11273-9. [DOI] [Google Scholar]
  • 40.Arida H., Maghrabi I. A., Zayed S. I. J. I. J. E. S. Development of new thin-film micro-sensor for potentiometric determination of amiloride. International Journal of Electrochemical Science . 2014;9(6):2728–2736. doi: 10.1016/s1452-3981(23)07963-4. [DOI] [Google Scholar]
  • 41.Arida H., Al-Hajry A., Maghrabi I. A. J. I. J. E. S. A novel solid-state copper (II) thin-film micro-sensor based on organic membrane and titanium dioxide nano-composites. International Journal of Electrochemical Science . 2014;9(1):426–434. doi: 10.1016/s1452-3981(23)07729-5. [DOI] [Google Scholar]
  • 42.Stefan-van Staden R.-I., Balahura L.-R., Cioates-Negut C., Aboul-Enein H. Y. Stochastic microsensors for the assessment of DNA damage in cancer. Analytical Biochemistry . 2020;605 doi: 10.1016/j.ab.2020.113839.113839 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used to support the findings of this study are included within the article.


Articles from International Journal of Analytical Chemistry are provided here courtesy of Wiley

RESOURCES