Skip to main content

Determination of levofloxacin, norfloxacin, and moxifloxacin in pharmaceutical dosage form or individually using derivative UV spectrophotometry

Abstract

Purpose

In this study, first, second, third, and fourth-order derivative spectrophotometric methods utilizing the peak—zero (P—O) and peak-peak (P—P) techniques of measurement were developed for the determination of levofloxacin, norfloxacin, and moxifloxacin. These methods were applied to their combined pharmaceutical dosage form or individually for levofloxacin, norfloxacin, and moxifloxacin.

Methods

Linearity was established in the concentration range of 2–20 µg/mL. The procedures are simple, quick, and precise. The developed methods are sensitive, accurate, and cost-effective, demonstrating excellent correlation coefficients (R2 = 0.9998) and mean recovery values ranging from 99.20% to 100.08%, indicating a high level of precision.

Results

The developed approach was effectively employed to determine the levofloxacin, norfloxacin, and moxifloxacin content in commercially available pharmaceutical dosages.

Conclusions

Statistical analysis and recovery tests confirmed the method's linearity and accuracy. The results suggest that this method can be utilized for routine analysis in both bulk and commercial formulations. The simplicity, accuracy, and cost-effectiveness of the developed methods make them valuable for pharmaceutical analysis.

Peer Review reports

Introduction

Derived UV-spectrophotometry is a method that provides both qualitative and quantitative information from spectra in disputable bands. It involves using the first or higher derivatives of absorbance concerning wavelength for analysis purposes [1]. Derivative spectroscopy was first introduced in the 1950s and demonstrated various advantages; however, it received limited attention due to the challenges of generating derivative spectra with early UV–Visible spectrophotometers. [2] The technique gained traction with the advent of microcomputers in the late 1970s. These computers allowed for the quick, easy, and reproducible generation of derivative spectra using mathematical methods. This technological advancement significantly increased the application of the derivative technique. IN this application note, we will delve into the mathematics and generation methods of derivative spectroscopy in a concise manner. Computer-generated examples will be used to illustrate the features and applications of this technique (see Fig. 1) [20].

Fig. 1
figure 1

Absorbance and derivative spectra of a Gaussian band

Derived UV-spectrophotometry: application and methods overview

Derived UV-spectrophotometry, employing first to higher-order derivatives, provides both qualitative and quantitative information from spectra. The distinguishing feature of second-order derivatives is a negative band with a minimum at the same wavelength as the maximum on the zero-order band, along with positive satellite bands. Fourth-order derivatives display a positive band. Even-order derivatives exhibit a strong negative or positive band with a minimum or maximum at the same wavelength as the absorbance band’s maximum. The number of observed bands is one more than the derivative order [3,4,5]. Second-order Derivative: Negative band at the same wavelength as the zero-order maximum, with positive satellite bands. Fourth-order Derivative: Positive band. Even-order Derivatives: Strong negative or positive band with a minimum or maximum at the same wavelength as the absorbance band's maximum [6].

Methods of derivative spectra generation

Optical and electronic techniques

Wavelength Modulation: Involves rapid modulation of incident light wavelength over a narrow range. Suitable for generating first and second derivatives. Dual Wavelength Spectrophotometer: Produces first-derivative spectra by scanning with each monochromatic wavelength separated by a small constant difference.

Mathematical techniques

Easily calculated and recalculated with different parameters. Smoothing techniques can enhance signal-to-noise ratio. The determination by the “peak—zero” (P—O) and “peak—peak” (P–P) techniques involves analyzing the derivative spectra to obtain specific information about the drugs being studied. Here's a more detailed explanation for both techniques:

Peak—Zero (P—O) Technique

In the "peak—zero" technique, the analysis is based on measuring the amplitude from the maximum to the zero line or from the minimum to the zero line of the derivative spectra. The derivative spectra represent the rate of change of absorbance with respect to wavelength. Peaks or valleys in the derivative spectra correspond to specific features in the original absorbance spectrum. The "peak—zero" technique involves measuring the amplitude of a particular peak or valley in the derivative spectrum from its highest or lowest point to the zero line. This amplitude can be related to the concentration of the substance being analyzed, and the technique is used to determine the presence and concentration of specific compounds.

Peak—Peak (P-P) Technique

In the "peak—peak" technique, the analysis is based on measuring the amplitude from one peak to another peak in the derivative spectrum. Similar to the “peak—zero” technique, the derivative spectrum is examined for peaks and valleys, and the amplitude is measured between two specific peaks. This amplitude can be used for quantification and is related to the concentration of the analyzed substance. The “peak—peak” technique provides an alternative way to extract information from the derivative spectra, allowing for a comprehensive analysis of the features present.

Both techniques essentially use the characteristics of the derivative spectra to quantify the concentration of substances. By measuring the amplitudes in different ways, analysts can choose the most suitable approach based on the specific features of the derivative spectra and the compounds being studied. These techniques are part of the broader field of derivative spectrophotometry, offering advantages in terms of sensitivity and selectivity in the determination of drugs and other chemical substances.

Fluoroquinolones and antibacterial chemotherapy

Fluoroquinolones, a class of antibiotics structurally similar to nalidixic acid, exhibit enhanced antibacterial activity. Improved potency, broader antibacterial spectrum, and favorable pharmacokinetic properties contribute to their clinical significance. Widely distributed in the body, fluoroquinolones are effective against various infections, including urinary, respiratory, gastrointestinal, skin, soft tissue, bone, and sexually transmitted infections. The ease of oral therapy adds to their advantages.

Quinolones and fluoroquinolones

Quinolones, structurally similar to nalidixic acid, achieve bactericidal action by blocking bacterial DNA gyrase. Early quinolones had limitations, including a narrow spectrum, low potency, high resistance rates, low serum concentrations, and short half-lives. Fluoroquinolones overcome these limitations with a broader antibacterial range, increased potency, low resistance rates, high oral bioavailability, significant tissue penetration, and extended elimination half-lives. Potential side effects include gastrointestinal disturbances, rashes, central nervous system stimulation, cartilage damage, eye toxicity, teratogenicity, and spermatogenesis impairment [7, 8]. Newer Fluoroquinolones characterized by broad-spectrum bactericidal action, excellent oral bioavailability, good tissue penetration, and favorable safety and tolerability. Classified into four generations based on antibacterial spectrum and therapeutic indications. The extended antibacterial spectrum of the most recent fluoroquinolones allows for a diverse range of applications. Spectroscopic Analysis of Levofloxacin, Norfloxacin, and Moxifloxacin, antibiotics used against various bacterial species, were studied using fluorescence and UV–visible absorption spectroscopy. Solvent polarity and drug concentration influenced fluorescence quantum yields, lifespan, and non-radiative decay. Fluorescence quenching techniques revealed binding mechanisms with caffeine, indicating ground state complexes and contributions from electrostatics, hydrogen, and Van der Waals forces [9,10,11,12].

Recently, UV–Visible spectroscopy and density functional theory (DFT) techniques, our investigation delved into the development of charge-transfer (CT) complexes. Our focus centered on exploring the interaction of iodine with aniline and its derivatives in CCl4 across varying temperatures (293.15–308.15 K). The calculation of formation constants (KCT) using the Benesi-Hildebrand plot revealed the influence of temperature changes and donor molecule structure on KCT values. Both experimental and DFT UV spectra uncovered an additional CT band, with the elongation of I2 acceptor bonds facilitating the observation of the interaction between I2 and aniline derivatives [13]. Introduced an innovative titrimetric approach (method A) for the precise determination of Ciprofloxacin Hydrochloride (CIP-HCl). This approach involved the in situ bromination of CIP-HCl through the interaction of acid with the bromate-bromide combination. Additionally, a UV-Spectroscopic analysis (method A), as per previous literature, demonstrated adherence to Beer's law within the concentration range of 3.5–11.5 g mL−1. Titrimetric analysis extended the determination range to 5.0–70.0 mg CIP-HCl. Comparative analysis of accuracy and precision with the reference method (method B) showcased negligible differences in results. Method A successfully determined three distinct dosage forms of CIP-HCl [14]. A novel, rapid, specific, and economical UV spectrophotometric method was established for the quantification of levofloxacin in both pure form and pharmaceutical formulations. This technique employs a distinct solvent mixture (water: methanol: acetonitrile) and measures absorbance at a pre-determined wavelength (292 nm). It was demonstrated to be linear across a broad range of levofloxacin concentrations (1.0–12.0 mg/mL), exhibiting a commendable correlation coefficient (R2 = 0.9998) and exceptional mean recovery (99.00–100.07%). [15, 16]. Study investigated the application of highly crystalline TiO2 nanoparticles in the photocatalytic degradation of levofloxacin. Synthesized through a sol–gel method, the TiO2 nanoparticles underwent comprehensive assessment for morphological, structural, compositional, thermal, and optical characteristics. The in-depth research highlighted the nanoparticles' high density, exceptional crystallinity, and favorable optical characteristics, contributing to efficient photocatalytic degradation [17]. Employing a straightforward hydrothermal and sol–gel synthesis, we created carbon dots (C-dots), titanium dioxide (TiO2) quantum dots, and TiO2/C-dots. Thorough characterization encompassing crystallinity, structure, morphology, thermal stability, and optical properties confirmed the great quality of the produced photo catalysts. The nanocomposites displayed an average size of 12 nm, with C-dots uniformly dispersed across TiO2 quantum dots [18]. Addressing contemporary environmental challenges, our emphasis centered on the need for photocatalytic materials with suitable structural and morphological architectures. The creation of Z-scheme hetero junctions emerged as an ideal strategy to overcome the limitations associated with single-component or conventional heterogeneous catalysts. Our discussion highlighted the diverse applications of these materials, particularly in the effective removal of organic compounds from wastewater [19]. Presenting a simple, quick, and cost-effective technique, we detailed the preparation of MIL-100(Fe) using a sealed autoclave and a solid-state reaction. Extensive characterization using PXRD, FTIR, SEM, EDX, TGA, BET surface area, and zeta potential analysis provided insights into the properties of the as-prepared MIL-100(Fe). The resulting MIL-100(Fe) effectively served as an adsorbent for the extraction of the antibiotic levofloxacin from the aqueous phase [20]. More research technique were reviewed [21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37].

Materials and methods

Devices

UV–Visible double-beam spectrophotometric, Shimadzu 1800 Origin, Kyoto, Japan, was employed. Absorbance measurements were conducted using Uv. Probe 2.34, Model Shimadzu Origin Kyoto Japan, with matched quartz cells. Additional equipment included a laboratory oven-sonorous, a sensitive electronic balance, an ultrasonic device (ultrasonicator)-sonorex, a water bath (Karl K olb), and a hot plate with magnetic stirrer (LMS-1003, Daihan Lab Tech) from Germany. Precision measurements were facilitated by micro pipettes (1–10 µl and 100 µl) originating from Switzerland. Computational aspects were handled on a Dell computer from Germany and China.

Chemical materials

Levofloxacin, Norfloxacin, and Moxifloxacin were generously supplied by Arti (India). Eipico Company, located in the 10th of Ramadan City, Egypt, provided pharmaceutical-grade excipients, including Citric acid, Magnesium stearate, Vinyl pyrrolidone, Starch, Talc, and Lactose. Deionized water utilized in the analysis underwent preparation through reverse osmosis and filtration via a 0.45 μm Millipore filter (Millipore Company, USA).

Market sample

Tablet forms of Levofloxacin, Norfloxacin, and Moxifloxacin were randomly selected from the market. The recently developed and approved method was applied to analyze sample solutions against the reference standard. Quantities of Levofloxacin, Norfloxacin, and Moxifloxacin were determined using data from the marketed products.

Levoxin (250 mg Levofloxacin) by ALAR LABORATORIES PVT LIMITED, Composition: Levofloxacin: 250 mg, and excipients: maize starch, Magnesium stearate, Polyethylene glycol, Povidone K30, Yellow Tartrazine, and Talc.

Epinor (400 mg Norfloxacin) by EIPICO. Composition: Norfloxacin: 400 mg Excipients: maize starch, Magnesium stearate, Polyethylene glycol, Povidone K90, Titanium dioxide, and Talc.

Delmoxa (400 mg Moxifloxacin) by DELTA PHARMA. Composition: Moxifloxacin: 400 mg, and excipients: maize starch, Magnesium stearate, Lactose, Povidone K90, Talc, and Iron oxide red.

Solutions

Solution (1000 µg/mL): Prepared by dissolving 0.1 g of each substance in 100 ml of 0.1 mol/L HCl solution. Solution (100 µg/mL): Obtained by diluting the stock solution in methanol and further dilution in a volumetric flask to achieve a concentration of 100 µg/mL in 0.1 mol/L HCl solution (2–20 µg/mL). Additives (1000 µg/mL): Solution containing Levofloxacin, Norfloxacin, Moxifloxacin, and other additives, prepared in 100 mL of 0.1 mol/L HCl.

Stability study

Solvent selection and standardization

In the preliminary trial, five different solvent compositions were considered, including distilled water, methanol, methanol: distilled water (1:1), 0.1 N HCl, and phosphate buffer (pH 7.1). After evaluation, methanol: distilled water (1:1) was chosen as the suitable medium due to its ease of sample preparation, the drug's solubility, and cost-effectiveness. The wavelength maximum for levofloxacin, norfloxacin, and moxifloxacin was identified at 287 nm,291 nm, and 294 respectively A stock solution of the levofloxacin, norfloxacin, and moxifloxacin standard were prepared with an approximate concentration of 5 μg/mL and subjected to sonication for 4 min in a sonicator bath.

Linearity

The response function was determined by preparing standard solutions at ten different concentration levels ranging from 2 to 20 μg/mL using UV/Vis derivative spectrophotometric methods. The limit of detection (LOD) and limit of quantitation (LOQ) were calculated based on the standard deviation of the Y-intercept and the slope of the calibration curve following the International Council for Harmonisation (ICH) guidelines [20]. The formulas used were LOD = 3.3 × (standard deviation of Y-intercept/slope of the curve) and LOQ = 10 × 2 (standard deviation of Y-intercept/slope of the curve).

Accuracy

A study was conducted using pre-formulated granules containing pure Levofloxacin, Norfloxacin, and Moxifloxacin, along with common excipients. The calculation was based on the label claim and the average weight of the final product. A previously established dilution pattern was followed for the granules, resulting in three concentrations 80%, 100%, and 120% of the reference solution. Three replicate samples were prepared at each concentration level, and the percent recovery at each level (n = 10) was determined.

Precision

By repeatedly scanning levofloxacin, norfloxacin, and moxifloxacin standard samples (n = 6) without altering the parameters of the suggested derivative spectrophotometric method, the instrumental precision, expressed as relative standard deviation (RSD), was verified. Data on intra-assay and inter-assay precision (RSD) were collected in the lab on days 1, 3, and 7 as well as on several days over the course of a week (days 1, 3, 5, and 7). The standard deviation of the measurements divided by the mean of the measurements multiplied by 100 is how the RSD percentage is computed.

Assay

Three marketed brands (Levoxin, Epinor and Delmoxa) were tested using this method, with levofloxacin at 287 nm, norfloxacin at 281 nm and moxifloxacin at 294 nm, using the following formula: active ingredient content (mg/ tablet). = (sample absorbance/standard absorbance) × (standard weight/sample weight) × average weight × standard intensity/100.

Samples generated for repeatability research were stored at room temperature for 24 h before undergoing testing for short-term stability the following day.

Specificity in the presence of excipients

An analytical method’s specificity is intended to quantitatively identify the analyte as a constituent that is anticipated to exist in the sample matrix. Popular additives, such as lactose, povidone K30, magnesium stearate, and purified talc, are combined in the right proportions per test protocol and dissolved in a solvent system that matches the additive weight during sample preparation. First, the nominal concentration of the drug is combined with various additive concentrations (80–120% of the nominal concentration in the test formulation). After increasing the additive's nominal concentration to different drug concentration levels (80–120% of the test formulation's nominal concentration), absorption is assessed. To calculate how much medication is needed, perform some calculations. The response of commercially available products, standard of levofloxacin, norfloxacin, and moxifloxacin, and additives under stress conditions was compared with the response of the same solutions under stress conditions in order to determine the stability-indicating properties of the developed UV/visible method. This analysis is a component of a study on forced degradation.

Forced degradation study

The drug material and one of the three commercially available drug products were both forced to degrade under various stress conditions in this study. These conditions included neutral, acidic, and base hydrolysis as well as oxidative, photolytic, and thermolytic stress. Specifically, the drug substance and drug product degradation was carried out in the solid state. The drug substance or drug product is dissolved in distilled water, aqueous HCl/NaOH/H2O2, or a solvent until a concentration of 50 μg/mL is reached to be able to start a degradation study. Subsequently, these solutions were diluted using a methanol: distilled water (1:1) solvent to a concentration of roughly 5 μg/mL. The degradation was then observed by performing a UV/visible spectrophotometric, a spectral scan in the 220–350 nm range, and measuring the absorbance on various days. Hydrolysis tests were performed to evaluate the impact of different conditions on the drug substance and drug product. For duration of seven days, neutral hydrolysis using distilled water was conducted at room temperature and 60 ℃. Using 0.1 N HCl, acid hydrolysis was carried out for seven days at 60 ℃ and room temperature. In contrast, base hydrolysis used 0.1 N NaOH solutions at 60 ℃ and room temperature, but only for two days. Sample solutions of the drug substance and drug product were exposed to 3% H2O2 at room temperature and 60 ℃ for a week in order to assess oxidative stress. Over 14 days, photolytic stress experiments were conducted, and both light and dark conditions were observed. The drug substance and drug product were subjected to controlled oven temperatures—room temperature and 70 ℃, specifically—for 14 days to induce thermal stress. It is significant to remember that all samples under stress were given placebo preparations.

Determination of levofloxacin, norfloxacin, and moxifloxacin in pharmaceutical dosage

Weighed and milled were ten tablets of Levonex (0.250 g of levofloxacin), Epinor (0.400 g of norfloxacin), and Deltamox (0.400 g of moxifloxacin). Each tested drug’s 50 mg of homogenized powder was carefully weighed and added to a 50 mL volumetric flask along with 20 mL of 0.1 mol/L HCl. 0.1 mol/L HCl was used to dilute the volumes to 50 ml after the combinations were shaken for 20 min. The resulting solutions were then filtered. Then, using 0.1 mol/L HCl, 1 mL of each clear solution was diluted to 10 mL. These solutions' volumes—0.5 mL, 0.5 mL, and 1.0 mL for the levofloxacin, norfloxacin, and moxifloxacin solutions, respectively—were put into 10 mL volumetric flasks and diluted with 0.1 mol/l HCl until the proper volume was reached. For these solutions, derivative spectra at the first, second, third, and fourth orders were noted. The concentrations of Levofloxacin, Norfloxacin, and Moxifloxacin in the studied sample solutions were determined by interpolating the corresponding calibration curves, and the amplitudes of the minimum and maximum were graphically measured.

Results

Method development and optimization

Levofloxacin, Norfloxacin, and Moxifloxacin demonstrated high solubility in 0.1 mol HCl.The optimized solvent composition was water (5): methanol (5) for favorable UV analysis. The absorption spectra were scanned in the range of 220–350 nm, revealing maximum absorption wavelengths (λ max) for Levofloxacin at 287 nm, Norfloxacin at 291 nm, and Moxifloxacin at 294 nm.

Method validation

Linearity and range

The calibration curve exhibited a linear correlation coefficient (R2) exceeding 0.99. Calibration curves for derivative spectra of each drug were constructed, showing significant clarity in the graphs.

Plotting the graphically measured (mm) amplitudes of the first-, second-, third-, and fourth-order derivative spectra against the corresponding concentrations of the drugs under investigation allowed for the construction of calibration curves. The first, second, third, and fourth-order derivative spectra of the levofloxacin standard solution in 0.1 mol HCI are displayed in Figure 3. They were recorded at concentrations of 2.0 to 20.0 µg mL of levofloxacin, within the wavelength range of 220–350 nm. The first, second, third, and fourth-order derivative spectra of the norfloxacin standard solution in 0.1 mol HCI are displayed in Figure 4. The spectra were recorded at concentrations of 2.0 to 20.0 µg mL of norfloxacin, within the wavelength range of 220–350 nm. The first, second, third, and fourth-order derivative spectra of the moxifloxacin standard solution in 0.1 mol HCI are displayed in Figure 5. The spectra were recorded at concentrations of 2.0 to 20.0 µg mL of moxifloxacin, within the wavelength range of 220–350 nm. Tables l0, 12, and 14 present the linear equations derived from the regression analysis of the ciprofloxacin hydrochloride, norfloxacin, and ofloxacin data, respectively. The data on the determination of the studied fluoroquinolones in tablets, along with a statistical analysis of the outcomes, are displayed in Tables 11, 13, and 15.

Limit of detection and limit of quantification

LOD and LOQ values, calculated from linearity studies, indicated high sensitivity of the proposed method in the range of 2-20 µg/mL for Levofloxacin, Norfloxacin, and Moxifloxacin. Are displayed in Figure 2

Fig. 2
figure 2

Spectrums of levofloxacin, norfloxacin, and moxifloxacin in zero order

Stability

Stability study results (Table 1) indicated that the samples were stable for 24 h (short-term) at various concentrations, affirming the robustness of the proposed method.

Table 1 Short-term Stability

For all three medications at various concentrations (2, 4, and 6 mg/mL), the values of the concentration found generally agree with the claimed concentration. All drug potencies vary from 98.19% to 100.05% on average, which shows that there is good agreement between the declared and actual concentrations. The measurements are consistent and show little fluctuation around the mean when the RSD values are low.

Accuracy/recovery

Results within the range of 99.20–100.08% ensure an accurate method as shown in (Table 2).

Table 2 Recovery/accuracy for three different concentrations of Levofloxacin, Norfloxacin, and Moxifloxacin

Precision

The repeatability and intra-day assay precision (RSD) was < 1% and the inter-day assay precision was < 2% revealed the proposed method for analyzing Levofloxacin is both precise and accurate (Table 3).

Table 3 Precision Study levofloxacin

The repeatability and intra-day assay precision (RSD) was < 1% and the inter-day assay precision was < 2% revealed the proposed method for analyzing norfloxacin n is both precise and accurate (Table 4).

Table 4 Precision Study norfloxacin

The repeatability and intra-day assay precision (RSD) was < 1% and the inter-day assay precision was < 2% revealed the proposed method for analyzing moxifloxacin in n is both precise and accurate (Table 5).

Table 5 Precision Study moxifloxacin

The ability of a method to measure the analytical response accurately in the presence of all possible components is referred to as specificity. Furthermore, confirming the suggested method's specificity is the sample’s stress analysis. The study aimed to determine the critical variables that will affect the drug product's stability and validate the developed method's ability to indicate stability. To assess the interference of degradation products in the quantitation of levofloxacin, norfloxacin, and moxifloxacin, the specificity was determined by ICH guidelines by subjecting a sample solution and solid to accelerated degradation by acidic/alkaline/neutral hydrolytic, oxidative, photolytic, and thermal stress conditions. The reported method provides data on specificity for their estimation in the presence of degradants and formulation excipients.

Specificity in the presence of excipients

The specificity of the method was confirmed by comparing spectra of placebo granules and degradation products with that of accurate samples.

Study effect of additives

First derivative of peak absorbance measurement at wavelength (287) nm, second derivative of peak absorbance measurement at wavelength (287) nm, third derivative of peak absorbance measurement at wavelength (287) nm, and fourth derivative of peak absorbance measurement at wavelength (287) nm were used to determine the effect of specific pharmaceutical additives on levofloxacin. The estimation of levofloxacin at10 μg/mL does not exhibit any additive effect, as indicated by the fourth derivative of the peak absorbance measurement. The outcomes are displayed in Table 6.

Table 6 The suggested method's effect of additives (100 µg/mL) on the drug levofloxacin determination

First derivative of peak absorbance measurement at wavelength (291) nm, second derivative of peak absorbance measurement at wavelength (291) nm, third derivative of peak absorbance measurement at wavelength (291) nm and fourth derivative of peak absorbance measurement at wavelength (291) nm were used to determine the effect of specific pharmaceutical additives on norfloxacin. The estimation of Norfloxacin at 10 μg/mL does not exhibit any additive effect, as indicated by the fourth derivative of the peak absorbance measurement. The outcomes are displayed in Table 7.

Table 7 The suggested method’s effect of additives (100 µg/mL) on the drug norfloxacin determination

First derivative of peak absorbance measurement at wavelength (294) nm, second derivative of peak absorbance measurement at wavelength (294) nm, third derivative of peak absorbance measurement at wavelength (294) nm and fourth derivative of peak absorbance measurement at wavelength (294) nm were used to determine the effect of specific pharmaceutical additives on moxifloxacin. Estimation of moxifloxacin at 10 μg/mL does not exhibit any additive effect, as indicated by the fourth derivative of the peak absorbance measurement. The outcomes are displayed in Table 8.

Table 8 The suggested method’s effect of additives (100 µg/ml) on the drug moxifloxacin determination

Forced degradation study

The stress test findings for three antibiotics—levofloxacin, norfloxacin, and moxifloxacin—are displayed in the table. In order to observe how drugs degrade, the test subjects them to more severe conditions than they usually encounter. The most stable appears to be levofloxacin. In most cases, levofloxacin degrades more slowly than norfloxacin. Similar to norfloxacin, moxifloxacin breaks down a little bit more slowly (Table 9).

Table 9 Forced degradation study of levofloxacin, norfloxacin, and moxifloxacin

Figure 2 aims to illustrate the absorption characteristics of Levofloxacin, Norfloxacin, and Moxifloxacin. By comparing these spectra, can potentially. Identify and differentiate between the three compounds based on their unique peak patterns, gain insights into the structural similarities and differences between the molecules, provide a reference for further analysis using techniques derivative spectroscopy. In the “peak-peak” technique, amplitude measurements (from maximum to minimum) were conducted, while the baseline-to-peak technique involved measurements from the maximum to the zero line or from the minimum to the zero line (Additional file 1).

Figure 3 presents the first (1st), second (2nd), third (3rd), and fourth (4th) derivative spectra of levofloxacin. Each spectrum exhibits distinct features compared to the original spectrum and other derivatives. The purpose of these derivative spectra is to enhance specific characteristics and potentially improve the analysis of levofloxacin.

Fig. 3
figure 3

First (l) second (2), third (3) and fourth (4) derivative spectra of levofloxacin

Figure 4 presents the first (1st), second (2nd), third (3rd), and fourth (4th) derivative spectra of norfloxacin. Each spectrum exhibits distinct features compared to the original spectrum and other derivatives. The purpose of these derivative spectra is to enhance specific characteristics and potentially improve the analysis of norfloxacin.

Fig. 4
figure 4

First (l) second (2), third (3) and fourth (4) derivative spectra of norfloxacin

Figure 5 presents the first (1st), second (2nd), third (3rd), and fourth (4th) derivative spectra of moxifloxacin. Each spectrum exhibits distinct features compared to the original spectrum and other derivatives. The purpose of these derivative spectra is to enhance specific characteristics and potentially improve the analysis of moxifloxacin Additional file 1.

Fig. 5
figure 5

First (l) second (2), third (3) and fourth (4) derivative spectra of moxifloxacin

Statistical analysis

The data were meticulously subjected to statistical analysis, expressing results in terms of standard deviation (%SD) and relative standard deviation (%RSD). The calculated %RSD values, consistently below 1%, underscore the remarkably high precision achieved by these methods (refer to Tables 10, 12, 14). This statistical assessment further solidifies the reliability and reproducibility of the developed methods. The content determination of Levofloxacin, Norfloxacin, and Moxifloxacin in market products closely aligned with label claims, ranging from 98.05% to 99.47%, indicating the reliability of the proposed method. RSD values were within the range of 0.16% to 0.92% (refer to Tables 11, 13, 15).

Table 10 Statistical evaluation of the developed method for levofloxacin (standard solution, n = 10)
Table 11 Statistical analysis of the determination of levofloxacin in levoxin tablet (n = 10)
Table 12 Statistical evaluation of the elaborated method for norfloxacin (standard solution n = 10)
Table 13 Statistical analysis of the determination of norfloxacin in tablets “Epinor 400 mg” (n = 10)
Table 14 Statistical evaluation of the elaborated method for moxifloxacin (standard solution n = 10)
Table 15 Statistical evaluation of moxifloxacin determination in “Delmoxa 400” tablets (n = 10)

Potency assay tests of levofloxacin were performed by the proposed method. According to USP 29 [38], levofloxacin tablets must contain 95–105% of the labeled amount of drug. The brand products met the standard criteria with the new analytical method (Table 11). For Levofloxacin in Levonex tablets, the "peak-zero" technique for the fourth derivative spectra at 287.0 nm yielded the best results (SD—5.01*10^-3, RSD—0.61%).

Potency assay tests of norfloxacin were performed by the proposed method. According to USP 29 [38], norfloxacin tablets must contain 95–105% of the labeled amount of drug. The brand products met the standard criteria with the new analytical method (Table 13). For Norfloxacin in Epinor 400 mg tablets showed optimal results with the "peak-zero" and "peak-peak" techniques for the fourth derivative spectra at all examined wavelengths (RSD about 0.65%).

Potency assay tests of moxifloxacin were performed by the proposed method. According to USP 29 [38], Moxifloxacin tablets must contain 95–105% of the labeled amount of drug. The brand products met the standard criteria with the new analytical method (Table 15). For Moxifloxacin in Delmoxa tablets demonstrated superior outcomes with the "peak-zero" technique for the second derivative spectrum at wavelength 294 nm (SD—5.3210^-3, RSD—0.91%) and the third derivative spectrum at wavelength 302 nm (SD—5.3210^-3, RSD—0.45%).

The table presents the statistical evaluation of the determination of Moxifloxacin content in "Delmoxa 400" tablets using various derivatives and techniques.

These results are provided to assess the accuracy and efficiency of the proposed method used for the analysis of Moxifloxacin in “Delmoxa 400” tablets.

Discussion

In summary, the proposed analytical method proves to be a highly effective tool for the routine quality control analysis of Levofloxacin, Norfloxacin, and Moxifloxacin in both pure and pharmaceutical samples employing. First-, second-, third-, and fourth-order UV derivative spectroscopy, offers a straightforward, quick, sensitive, and direct approach for determining the analyzed drugs. The method offers accuracy, precision, selectivity, and ease of use, making it a valuable addition to the analytical toolbox.

Utilizing the Lambda 15 spectrophotometric, spectra derivatives can be stored in the computer memory, allowing the retrieval of derivative values at any marked point on the recorded spectrum. Two graphical techniques, namely “peak-zero” and “peak-peak,” were employed for determining spectra derivatives.

In the “peak-peak” technique, amplitude measurements (from maximum to minimum) were conducted, while the baseline-to-peak technique involved measurements from the maximum to the zero line or from the minimum to the zero line.

Linear equations derived from regression analysis for Levofloxacin, Norfloxacin, and Moxifloxacin are presented in Tables 10, 12, and 14, respectively. Statistical evaluation of the results for the determination of fluoroquinolones in pharmaceutical dosage tablets is illustrated in Tables 11, 13, and 15.

Conclusions

The proposed approach demonstrates sensitivity, accuracy, simplicity, precision, speed, and economy. The results showed an outstanding mean recovery (99.20–100.08%) and a good correlation value (R2 = 0.999).The recommended derivative spectrophotometry method was successfully validated in accordance with ICH Q2B criteria by using UV spectral data that was produced from the analysis of chemically deteriorated samples using the recommended methodology. In physical–chemical research, derivative spectrophotometry proves to be an extremely useful tool as it allows for the non-invasive extraction of information from the fundamental spectrum. Recovery investigations support the great accuracy of these techniques even further. The method is found to be precise and accurate, with a linear response within the given range and lower LOD and LOQ values where acceptable, making it suitable for routine quality control analysis for levofloxacin, Norfloxacin, and Moxifloxacin in both pure form and pharmaceutical samples.

Data availability

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

References

  1. Osman AF. Determination of levofloxacin, norfloxacin, and moxifloxacin in pharmaceutical dosage form or individually using derivative UV spectrophotometry. 2023. https://doi.org/10.21203/rs.3.rs-2455969/v2

  2. King DE, Malone R, Lilley SH. New classification and update on the quinolone antibiotics. Am Fam Physician. 2000;61(9):2741–8. https://doi.org/10.15585/mmwr.rr4904a1.

    Article  CAS  PubMed  Google Scholar 

  3. Redasani VK, Patel PR, Marathe DY, Chaudhari SR, Shirkhedkar AA, Surana SJ. A review on derivative UV-spectrophotometry analysis of drugs in pharmaceutical formulations and biological samples. J Chil Chem Soc. 2018;63(3):4126–34. https://doi.org/10.4067/s0717-97072018000304126.

    Article  CAS  Google Scholar 

  4. Ojeda CB, Rojas FS. Recent developments in derivative ultraviolet/visible absorption spectrophotometry. Anal Chim Acta. 2004;518(1–2):1–24. https://doi.org/10.1016/j.aca.2004.04.031.

    Article  CAS  Google Scholar 

  5. Karpinska, J. Basic principles and analytical application of derivative spectrophotometry. Macro to nano spectroscopy, Macro to nano spectroscopy, book edited by Jamal Uddin (2012):253–256.

  6. Taghizade M, Ebrahimi M, Fooladi E, Yoosefian M. Simultaneous spectrophotometric determination of the residual of ciprofloxacin, famotidine, and tramadol using magnetic solid phase extraction coupled with multivariate calibration methods. Microchem J. 2021;160:105627. https://doi.org/10.1016/j.microc.2020.105627.

    Article  CAS  Google Scholar 

  7. Gülfen M, Canbaz Y, Özdemir A. Ratio-first order derivative-zero crossing UV-visible spectrophotometric method for analysis of amoxicillin, levofloxacin and lansoprazole mixture. Pak J Anal Environ Chem. 2020;21(1):34–43.

    Article  Google Scholar 

  8. Acharya DR, Patel DB, Patel VV. Development and validation of first order derivative spectrophotometric method for simultaneous estimation dicloxacillin and cefdoxime proxetil in tablet dosage form. J Drug Deliv Ther 2012;2.1. https://doi.org/10.22270/jddt.v2i1.49.

  9. Kamal AH, El-Malla SF. Factor space analysis and dual wavelength spectrophotometric methods for simultaneous determination of norfloxacin and tinidazole in tablet. Anal Chem Lett. 2018;8(3):393–404. https://doi.org/10.1080/22297928.2018.1472834.

    Article  CAS  Google Scholar 

  10. Paton JH, Reeves DS. Fluoroquinolone antibiotics. Microbiology, pharmacokinetics and clinical use. Drugs. 1988;36(2):193–228. https://doi.org/10.2165/00003495-198836020-00004.

    Article  CAS  PubMed  Google Scholar 

  11. von Rosenstiel N, Adam D. Quinolone antibacterials. An update of their pharmacology and therapeutic use. Drugs. 1994;47(6):872–901. https://doi.org/10.2165/00003495-199447060-00003.

    Article  Google Scholar 

  12. Woldegiorges K, Belay A, Kebede A. Photophysical properties of levofloxacin and norfloxacin drugs and their fluorescence quenching mechanism with caffeine. Spectrosc Lett. 2022;55(8):500–13.

    Article  CAS  Google Scholar 

  13. Rahman S, Rub MA, Mahbub S, Joy MTR, Rana S, Hoque MA. Spectroscopic and DFT studies of the charge transfer complexation of iodine with aniline and its derivatives in carbon tetrachloride medium. J Mol Liq. 2022;351:118667.

    Article  CAS  Google Scholar 

  14. Badulla WFS, Bamahmood ESO. Development of green bromination titration for determination of ciprofloxacin hydrochloride in different pharmaceutical dosage forms. Indones J Chem Sci. 2022;11(3):259–65.

    Google Scholar 

  15. Maleque M, Hasan MR, Hossen F, Safi S. Development and validation of a simple UV spectrophotometric method for the determination of levofloxacin both in bulk and marketed dosage formulations. J Pharm Anal. 2012;2(6):454–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Kansal SK, Kundu P, Sood S, Lamba R, Umar A, Mehta SK. Photocatalytic degradation of the antibiotic levofloxacin using highly crystalline TiO2 nanoparticles. New J Chem. 2014;38(7):3220–6.

    Article  CAS  Google Scholar 

  17. Sharma S, Umar A, Mehta SK, Ibhadon AO, Kansal SK. Solar light driven photocatalytic degradation of levofloxacin using TiO2/carbon-dot nanocomposites. New J Chem. 2018;42(9):7445–56.

    Article  CAS  Google Scholar 

  18. Sharma S, Ibhadon AO, Francesconi MG, Mehta SK, Elumalai S, Kansal SK, Baskoutas S. Bi2WO6/C-Dots/TiO2: a novel Z-scheme photocatalyst for the degradation of fluoroquinolone levofloxacin from aqueous medium. Nanomaterials. 2020;10(5):910.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Chaturvedi G, Kaur A, Umar A, Khan MA, Algarni H, Kansal SK. Removal of fluoroquinolone drug, levofloxacin, from aqueous phase over iron based MOFs, MIL-100 (Fe). J Solid State Chem. 2020;281:121029.

    Article  CAS  Google Scholar 

  20. Ocaña JA, Barragán FJ, Callejón M. Spectrofluorimetric determination of moxifloxacin in tablets, human urine and serum. Analyst. 2000;125(12):2322–5.

    Article  PubMed  Google Scholar 

  21. International Conference on Harmonisation (ICH) of Technical Requirements for Registration of Pharmaceuticals for Human Use: Harmonised Triplicate Guideline on Validation of Analytical Procedures: Methodology, recommended for Adoption at Step 4 of the ICH Process by the ICH Steering Committee, IFPMA, Switzerland. 1996.

  22. United States Pharmacopeial Convention. Committee of Revision. The United States Pharmacopeia; The National Formulary. United States Pharmacopeial Convention, Incorporated, 1994.

  23. Kasabe AJ, Shitole VV, Waghmare VV, Mohite V. Simultaneous estimation of metronidazole and ofloxacin in combined dosage form by reverse phase high performance liquid chromatography method. Int J ChemTech Res. 2009;1(4):1244–50.

    CAS  Google Scholar 

  24. Barot HN, Dave JB, Patel CN. Development and validation of spectrophotometric method for simultaneous determination of prednisolone acetate and ofloxacin in eye-drop. Int J Pharm Sci Res. 2012;3(6):1817.

    CAS  Google Scholar 

  25. Naveed S, Kafeel H, Rukh R. Spectrophotometric method for the estimation of Ciprofloxacin in different medium. Int J Pharm Res Drug Dev. 2014;1(1):27–30.

    Google Scholar 

  26. Zaky M, Fadel S, Elgendy KM. Spectrophotometric method for determination of some third generation cephalosporins antibiotics using sodium molybdate. Eurasian J Anal Chem. 2020;15(1):59–73.

    CAS  Google Scholar 

  27. Naveed S, Waheed N. Simple UV spectrophotometric assay of ciprofloxacin. Mintage J. Pharm. Med. Sci, 2014;3(4):10–13.

    Google Scholar 

  28. Naveed S, Alam T, Hameed A, Sharif N. UV spectrophotometric method for estimation of Ofloxacin in tablet dosage form and comparative study of its two brands. J Bioequiv Availab. 2016;8:125–7.

    Google Scholar 

  29. Mohammmed MA, Kadhum MA. Simultaneous determination of ciprofloxacin hydrochloride and mebeverin hydrochloride by derivative spectrophotometry. Ibn AL-Haitham J Pure Appl Sci. 2017;27(3):448–61.

    Google Scholar 

  30. Yadav P, Joshi C, Y. Synthesis and spectral study of novel norfloxacin derivatives. E-J Chem. 2008;5(S2):1154–8.

    Article  CAS  Google Scholar 

  31. Prashanth KN, Basavaiah K, Raghu MS. Simple and selective spectrophotometric determination of ofloxacin in pharmaceutical formulations using two sulphonphthalein acid dyes. Int Sch Res Not. 2013. https://doi.org/10.1155/2013/357598.

  32. Nguyen TD, Le HB, Dong TO, Pham TD. Determination of fluoroquinolones in pharmaceutical formulations by extractive spectrophotometric methods using ion-pair complex formation with bromothymol blue. J Anal Methods Chem. 2018. https://doi.org/10.1155/2018/8436948.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Shah V, Raj H. Development and validation of derivative spectroscopic method for simultaneous estimation of cefixime trihydrate and azithromycin dihydrate in combined dosage form. Int J Pharm Sci Res. 2012;3(6):1753.

    CAS  Google Scholar 

  34. Owen, A. J. Uses of Derivative Spectroscopy, Application Note. Agilent Technologies, Waldbronn, Germany (1995).

  35. Khasawneh OFS, Palaniandy P. Photocatalytic degradation of pharmaceuticals using TiO based nanocomposite catalyst-review. Civil Environ Eng Rep. 2019;29(3):1–33.

    Article  Google Scholar 

  36. Sharma T, Kumar R, Sahoo SC, Sindhu J, Singh J, Singh B, Kataria R. Synthesis, structural and pharmacological exploration of 2-(3, 5-dimethyl-1H-pyrazol-1-yl)-acetophenone oximes and their silver complexes. Polyhedron. 2021;195:114972.

    Article  CAS  Google Scholar 

  37. Kim J, Ahn SY, Um SH. Light-induced heat conversion of gold nanorods as a local temperature probe for chemical species transformation in aqueous solution. Sci Adv Mater. 2021;13(8):1437–44.

    Article  CAS  Google Scholar 

  38. Beard KW. Internet addiction: a review of current assessment techniques and potential assessment questions. Cyber Psychol Behavior. 2005;8(1):7–14.

    Article  Google Scholar 

Download references

Acknowledgements

The author presents great thanks to the Eipico Company for supporting this study.

Funding

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

Author information

Authors and Affiliations

Authors

Contributions

Kh. Elgendy: Methodology, Validation, Conceptualization, Project administration, Supervision, Writing—review & editing. M. Zaky: Datacuration, Supervision, Conceptualization, Investigation. T. Alaa Eldin: Data curation, Software, Methodology. S. Fadel: Methodology, Soft-ware, Data curation, Formal analysis, Validation, Writing—originaldraft.

Corresponding author

Correspondence to K h. Elgendy.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Examples Spectra Used In The Research.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Elgendy, K.h., Zaky, M., altorky, A.E.m.M. et al. Determination of levofloxacin, norfloxacin, and moxifloxacin in pharmaceutical dosage form or individually using derivative UV spectrophotometry. BMC Chemistry 18, 115 (2024). https://doi.org/10.1186/s13065-024-01193-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13065-024-01193-4

Keywords