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Abstract

For the quantitative determination of acyclovir (ACV) in bulk medication and tablet dosage form, a straightforward, quick, accurate, and economical UV-visible spectrophotometric approach was created and validated. The technique uses distilled water as a solvent to detect absorbance at 251.5 nm. With a correlation value (R2) of 0.9999, acyclovir demonstrated high linearity in the concentration range of 2–10 ppm, demonstrating outstanding adherence to Beer–Lambert's law. Three estimating techniques were used in the developed method: calibration curve method, standard absorptivity, and single point standardisation. The suggested method was verified according to ICH requirements for factors such as linearity, accuracy, precision, ruggedness, robustness, limit of detection (LOD), and limit of quantification (LOQ). In the range of 98.8% to 101.7%, the accuracy studies demonstrated an acceptable recovery. Precision results showed low %RSD values, indicating moderate precision and acceptable repeatability. The results showed that the LOD and LOQ were 0.098 ppm and 0.297 ppm, respectively. The approach is suitable for routine quality control analysis of acyclovir in pharmaceutical formulations, as evidenced by the 99.01% purity of acyclovir.

Keywords

Acyclovir-visible spectrophotometry, Method development, Method validation, Single point standardization, Calibration curve

Introduction

The discovery of acyclovir was announced in 1977.                                                                                         Acyclovir, another name for acyclovir (ACV), is an antiviral drug. It is mostly used to treat shingles, chickenpox, and viral infections. Additional applications include prevention of Epstein-Barr virus infections and CMV infections after transplantation. It can be administered intravenously and orally. Since no harm has been reported, it is usually regarded as safe to use during pregnancy. It seems safe to use when nursing. A nucleic acid counterpart derived from guanosine is acyclovir. It functions by reducing the amount of DNA produced by the virus. Acyclovir, also known as acycloguanosine, is an antiviral medication used to treat infections caused by the varicella-zoster virus (VZV), a type of herpes virus that causes shingles and chickenpox, or the herpes simplex virus (HSV). Acyclovir is effective against active, replicating HSV or VZV and was initially identified in the mid-1970s. Acyclovir is a member of a class of synthetic medications known as nucleoside analogues, which are distinguished by their resemblance to naturally occurring nucleosides—the structural components of DNA and RNA—found in viruses and cells. 9-[(2-hydroxyethoxy)-methyl] acyclovir-guanosine, an acyclic derivative of guanosine, has strong therapeutic effects by selectively inhibiting the multiplication of herpes viruses. Antiviral activity against the varicella zoster and herpes simplex viruses.

Fig.No.2: Acyclovir

MATERIAL AND METHOD:

Instrumentation

A Systronics (India) Limited UV-visible spectrophotometer, Model AU-2707, with a 1 cm cuvette and a double beam configuration system was used for the study. Ultrasonicate cleaner was used to degas the solvent. For the weighing, an electronic balance was used.

Chemicals or reagents

Leeford Healthcare Ltd provided an analytically pure sample of ACV, ZOSTER 400 DT a tablet formulation produced by Sun Pharmaceutical Industries Ltd, was purchased from a nearby pharmacy.

METHODOLOGY

Selection of suitable solvent

When selecting the solvent, the drug's solubility, stability, and absorbance maxima in the particular solvent were taken into account. Weighing 100 mg of ACV, its solubility in pure water, methanol, ethanol, acetone, and chloroform was assessed. Among the solvents on the above list, water is the most efficient. As a result, water is used as a solvent.

Preparation of standard stock solution

After being weighed, 100 mg of pure ACV was moved to a 100 ml volumetric flask and dissolved in water. To get a final concentration of 1000 ppm, it was thoroughly dissolved and diluted with diluent. A 10ppm solution was made from the stock solution using water, which served as the working standard.

Determination of wavelength

The wavelength maxima of ACV were found by scanning its UV spectra between 200 and 400 nm after it was synthesised at a concentration of 10 ppm. For the investigation, this wavelength was chosen. The highest absorbance against water was discovered to be 251.5 nm.

Estimation of ACV Tablet

Twenty ACV tablets were weighed and ground into a powder in a glass mortar. The powder equivalent to 10 mg of ACV Tablet was transferred into a 10 ml volumetric flask, dissolved in around 5–6 ml of water, and then subjected to an ultrasonicate for 15 minutes. The
flask was then diluted with water to attain a concentration of 1000 ppm. The mixture was filtered using Whatman filter paper. The sample solution was diluted and analysed, as was previously described.

 

Table No. 1: Drug estimation

Concentration (API)

Abs (API)

Concentration

(Tablet)

Abs at 251.5 nm

Specifications

2 ppm

0.086

10 ppm

0.504

Brand name:   ZOSTER 400 DT

4 ppm

0.195

10 ppm

0.506

Label claim:400 mg

6 ppm

0.301

10 ppm

0.501

Mfg. by: Leeford Healthcare Ltd

8 ppm

0.407

Mean

0.503

Manufacturing date:03/2025

10 ppm

0.509

SD

0.167901

Expiry date:02/2027

 

 

RSD

1.000075

Batch no:ZDT502C

 

 

%RSD

100.0075

% Purity of drug: 99%

 

Estimation of ACV by using Standard Absorptivity Method

Prepare standard solutions of ACV in water at concentrations ranging from 2 ppm to 10 ppm. Measure the absorbance of each solution at 251.5 nm using a UV-visible spectrophotometer. Calculate the absorptivity (a) using Beer-Lambert’s law

A = abc

Where: A = Absorbance, a = Molar Absorptivity, b = Path length (1 cm), c = Cocn in ppm

The standard absorptivity method is based on the principle of Beer-Lambert’s law, which states that absorbance is directly proportional to concentration by determining the absorptivity coefficient (a), unknown sample concentrations can be estimated accurately. This method is widely used due to its simplicity and ability to provide reliable quantitative results. By using formula, it was noted that the percentage purity of drug by using this method was found 99.01%. (By using Table No. 1)

Estimation of ESC by using single point method [6,30]

Make a standard ACV solution in water at a pre-determined concentration, such as 10 ppm.
Make the water solution for the test sample. Using a UV-visible spectrophotometer, determine the absorbance of the test sample and the standard at 251.5 nm. Determine the concentration of the test sample using the following formula:

Ctest = (Atest X Cstd) / Astd

Where, Ctest = concentrations of sample, Cstd = concentrations of standard,  Atest = absorbance of the sample, Astd = absorbance of the standard By comparing the absorbance of an unknown sample with that of a standard solution with a known concentration, the Single Point Standardisation Method provides a straightforward and straightforward method for determining the concentration of an unknown sample. It is very helpful for routine, fast analysis where great precision is not necessary. Using the procedure, it was discovered that the drug's purity percentage was 99.01% (Table No. 1).

Calibration curve method [6,30]

Make standard ACV solutions in water with concentrations between 2 and 10 parts per million. Using a UV-visible spectrophotometer, determine each solution's absorbance at 251.5 nm. Plot absorbance against concentration to create a calibration curve. Use linear regression analysis to find the calibration curve's equation. By interpolating the absorbance values of unknown samples, you can use the calibration curve equation to determine their concentration.

 

 

 

Fig. No. 2: Calibration Curve ACV

 

Beer-Lambert's law, which states that absorbance is directly proportional to concentration, is the foundation of the Calibration Curve Method. The concentration of unknown samples can be precisely ascertained by building a standard calibration curve. This technique guarantees excellent accuracy and dependability in numerical analysis. The percentage purity of the substance was discovered to be 99.01% by utilising the equation of line after the formula was calculated.

Method of validation [6,31-44]

Linearity [6,31-33]

The absorbance of each concentration was measured at 251.5 nm using water as a blank.
To make new aliquots, standard stock-2 solution with concentrations ranging from 2 to 10 ppm was utilised. The regression coefficient (R2) value for the linearity curve was found to be
0.9999. Table 1 displays the linearity results.

 

Table No. 02: Linearity

Concentration

Absorbance

Calculation

2

0.086

MEAN

0.299

4

0.195

MODE

N/A

6

0.301

MEDIAN

0.301

8

0.407

SD

0.00191

10

0.509

RSD

0.00874

Tablet -10 PPM

0.504

%RSD

0.87%

 

C.C

0.9999

INTERSECT

(-0.0178)

SLOPE

0.1058

 

 

 

Precision [6,34-35]

An analytical method's degree of repeatability under typical operating circumstances. It is separated into:

Intraday and Interday precision

The precision of the approach was demonstrated by the results, which showed little change in absorbance levels over various time intervals and days.

 

Table No. 03: Intra day precision

Time

Concentration

Absorbance

Calculation

0 Hrs.

10PPM

0.509

MEAN - 0.506

2 Hrs.

10PPM

0.499

SD - 0.006

4 Hrs.

10PPM

0.501

RSD - 0.0119

8 Hrs.

10PPM

0.505

%RSD – 1.19%

12 Hrs.

10PPM

0.510

 

24 Hrs.

10PPM

0.515

 

 

Table No. 04: Inter day precision

Time

Concentration

Day 1

Day 2

Day 3

0 Hrs.

10PPM

0.509

0.507

0.503

2 Hrs.

10PPM

0.499

0.500

0.502

4 Hrs.

10PPM

0.501

0.505

0.501

8 Hrs.

10PPM

0.505

0.511

0.505

12 Hrs.

10PPM

0.510

0.506

0.507

24 Hrs.

10PPM

0.515

0.509

0.511

 

MEAN

0.506

0.506

0.504

SD

0.00597

0.00377

0.00371

RSD

0.0118

0.00745

0.00735

%RSD

1.18 %

0.75%

0.74%

 

Accuracy [6,36-37]

The accuracy of the proposed approach was tested using recovery experiments at different replicate levels in triplets for 80%, 100%, and 120%. The pre-analysed formulation was mixed with a known amount of pure medication to create the sample solutions, and the mean percent recovery was computed and presented in ACV.

 

Table No. 5: Accuracy

Spiked Level (%)

Added Concentration

Measured Concentration

% Recovery

80

8 ppm

7.9

98.8

100

10 ppm

10.1

101

120

12 ppm

12.2

101.7

*Result shows mean of 3 readings

 

Ruggedness [6,38-40]

 The analysis was conducted by two independent analysts, and the absorbance of each was noted to determine the percentage RSD. Table No. 06 presents the results.

 

 

 

Table No. 6: Ruggedness

Analyst – 1

Analyst – 2

Concentration ( PPM )

Absorbance

Concentration

Absorbance

10 PPM

0.509

10PPM

0.512

10 PPM

0.511

10PPM

0.519

10 PPM

0.506

10PPM

0.506

10 PPM

0.515

10PPM

0.501

10 PPM

0.499

10PPM

0.495

10 PPM

0.501

10PPM

0.509

Average

0.506

Average

0.507

SD

0.00608

SD

0.00841

RSD

0.0120

RSD

0.0166

%RSD

1.20%

%RSD

1.66

 

Robustness [6,41,42]

The robustness of the approach was assessed using three different wavelengths of analysis. The results were displayed in Table No. 07 after the relative absorbance was recorded.

 

Table no. 07: Robustness

Concentration (PPM)

Wavelength (nm)

10

249.5

251.5

253.5

10

0.498

0.503

0.500

10

0.500

0.505

0.502

10

0.499

0.504

0.501

10

0.501

0.506

0.503

10

0.497

0.502

0.499

AVERAGE

0.499

0.5040

0.5010

SD

0.00158

0.00158

0.00158

%RSD

0.32%

0.31%

0.32%

 

Limit of Detection (LOD) and Limit of Quantification (LOQ)[6,43,44]

LOQ is the lowest amount of analyte that can be quantitatively determined with reasonable precision and accuracy, while LOD is the lowest amount of analyte that can be detected but not necessarily quantified under specified conditions.

LOD = 3.3×

σ /S      LOQ = 10×σ/S

 

 Where, σ = Standard deviation of the response S = Slope of the calibration curve

LOD and LOQ were calculated as 0.098 PPM and 0.297 PPM, respectively.

DISCUSSION

The UV-spectrophotometric approach was developed by scanning ACV oxalate in the UV region between 200 and 400 nm using methanol as the solvent. 243 nm was found to be the maximum wavelength. This approach has been validated in compliance with ICH standards. A number of properties, including as linearity, accuracy, precision, robustness, ruggedness, LOD, and LOQ, are used to assess and determine ACV oxalate. For linearity investigations, several doses between 4 and 20 µg/ml were generated from the same solution, and the linearity curve's R2 value was 0.9997. was observed that the mean % recovery was within the region that supported the accuracy of the method's development. At 80%, 100%, It, and 120%, the accuracy metric was assessed. The LOD and LOQ values were computed using the linearity curve.

RESULT AND CONCLUSION

In compliance with ICH recommendations, a simple UV-spectrophotometric method for ESC has been developed and confirmed. The findings of our study showed that the recommended UV-spectrophotometric method was very sensitive, accurate, and affordable.
in contrast to the methods that have already been published. ACV oxalate in bulk could be determined using the recommended UV spectrophotometric approach.

Conflict of interest

Regarding this article, the authors disclose no relevant conflicts of interest.

REFERENCES

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  5. WHO Model List of Essential Medicines Health Organization. October 2013. Retrieved April 2014.
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  15.  Sakhreliya, B.D., Trivedi, P.D., Modi, D.K.; Development and validation of spectrophotometric methods for simultaneous estimation of Escitalopram Oxalate and Etizolam in their combined tablet dosage form; Journal of Pharmaceutical Science and Bioscientific Research, 2012; 2(5): 195–200.
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  24. Patel, V.B., Dave, J.B., Patel, C.N., RP-HPLC method for simultaneous estimation of Escitalopram Oxalate and Etizolam in bulk and tablet dosage form; American Journal of Pharm Tech Research, 2012; 2(3): 1053–1061.
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Reference

  1. Yadav Purushottam Kumar*, Chandanam Sreedhar, Rao Srinivas T, Akkamma HG, Bharadwaja Reddy Gangavarapu, Deepa Moye Shrestha, new analytical method development and validation of acyclovir by rp-hplc method, Unique Journal of Pharmaceutical and Biological Sciences, 04(02), March-April 2016.
  2. Acyclovir. The American Society of Health Pharmacists. Retrieved Jan 1, 2015.
  3. Prescribing medicines in pregnancy database. Australian Government. 3 March 2014 Retrieved 22 April 2014.
  4. Hamilton, Richart . Tarascon Pocket Pharmacopoeia 2015 Deluxe Lab-Coat Edition. Jones & Bartlett Learning. 2015; 59.
  5. WHO Model List of Essential Medicines Health Organization. October 2013. Retrieved April 2014.
  6. Pratiksha Mohite, Shrikrishna Baokar, Dhananjay Ghodke and Rajendra Patil, analytical method development and validation of escitalopram oxalate, using uv-visible spectroscopy: single point standardization, standard absorptivity, and calibration curve approach www.wjpr.net ? Vol 14, Issue 7, 2025. ? ISO 9001: 2015 Certified Journal ? 949.
  7. Sanchez C., Reines EH., Montgomery SA. A comparative review of escitalopram, paroxetine, and sertraline: Are they all alike? Int Clin Psychopharmacol, 2014; (4): 185-96.
  8.  Baldwin DS., Asakura S., Efficacy of escitalopram in the treatment of social anxiety disorder: A meta-analysis versus placebo. Eur Neuropsychopharmacol, 2016; (6): 1062-1069.
  9. Bandelow B., Reitt M., Rover C., Michaelis S., Görlich Y., Efficacy of treatments for anxiety disorders: a meta-analysis. Int Clin Psychopharmacol, 2015; (4): 183-192.
  10.  Suneetha, A., Syama, S.B.; A validated UV spectrophotometric method for estimation of www.wjpr.net ? Vol 14, Issue 7, 2025. ? ISO 9001: 2015 Certified Journal ? 956 Mohite et al. World Journal of Pharmaceutical Research ESC in bulk and pharmaceutical dosage forms; Asian Journal of Research in Chemistry, 2010; 3(4): 935–937.
  11. Chaudhari, B.G., Parmar, H.R.; Spectrophotometric method for determination of Escitalopram Oxalate from tablet formulations; International Journal of Pharmaceutical Quality Assurance, 2010; 2(1): 9–12
  12. Vetrichelvan T., Arul K., Colorimetric method for the estimation of Escitalopram Oxalate in tablet dosage form Indian; Journal of Pharmaceutical Sciences, 2010; 72(2): 269–271.
  13. Kakde, R.B., Satone, D.D.; Spectrophotometric method for simultaneous estimation of Escitalopram Oxalate and Clonazepam in tablet dosage form; Indian Journal of Pharmaceutical Sciences, 2009; 71(6): 702–705.
  14.  Sharma, S., Rajpurohit, H., Sonwal, C., Sharma, P., Bhandari, A.; Simultaneous spectrophotometric determination of Escitalopram Oxalate and Clonazepam using multi component mode of analysis; Journal of Pharmacy Research, 2010; 3(9): 2303–2305
  15.  Sakhreliya, B.D., Trivedi, P.D., Modi, D.K.; Development and validation of spectrophotometric methods for simultaneous estimation of Escitalopram Oxalate and Etizolam in their combined tablet dosage form; Journal of Pharmaceutical Science and Bioscientific Research, 2012; 2(5): 195–200.
  16. 10. Syama, S.B, Development and validation of liquid chromatographic method for estimation of Escitalopram Oxalate in tablet dosage forms; International Journal of Pharma and Biosciences, 2011; 2(1): 140–146.
  17. Tapobana, S., Suddhasattya, D., Himansu, B.S., RP-HPLC method for the estimation of Escitalopram in bulk and in dosage forms; International Journal of Chemistry Research, 2011; 2(2): 11–15.
  18.  Ravisankar, P., Krishna, S.B., Santosh, K.V.S., A novel validated RPHPLC method for the determination of Escitalopram Oxalate in bulk and pharmaceutical tablet dosage form; International Journal of Advances in Pharmaceutical Sciences, 2013; 4(6): 1162–1176.
  19. Dighe, V.V., Pawaskar, P., Adhyapak, S., Development of normal phase chiral liquid chromatographic method for estimation of Escitalopram Oxalate and determination of Rcitalopram enantiomer from Escitalopram Oxalate in bulk drug and tablet; Journal of Chemical and Pharmaceutical Research, 2012; 4(11): 4804–4809.
  20.  Gandhi, S.V., Dhavale, N.D., Spectrophotometric and RPHPLC methods for simultaneous determination of Escitalopram Oxalate and Clonazepam in combined tablet dosage form, Journal Of Association of Official Analytical Chemists International, 2008; 91(1): 33–38.
  21. Chusena, N.B., Devala, R.G., Development and validation of an RP-HPLC method for the simultaneous determination of Escitalopram Oxalate and Clonazepam in bulk and its pharmaceutical formulations; International Current Pharmaceutical Journal, 2012; 1(8): 193–198.
  22. Chakole, R.D., Charde, M.S., Simultaneous estimation of Escitalopram and Clonazepam by RP-HPLC in pharmaceutical formulation; International Journal of Phyto pharmacy, 2012; 2(1): 25–29.
  23.  Kakde, R.B., Satone, D.D., Stability Indicating RP-HPLC method for the simultaneous determination of Escitalopram Oxalate and Clonazepam; Journal of Chromatographic Science, 2013; 51: 490–495.
  24. Patel, V.B., Dave, J.B., Patel, C.N., RP-HPLC method for simultaneous estimation of Escitalopram Oxalate and Etizolam in bulk and tablet dosage form; American Journal of Pharm Tech Research, 2012; 2(3): 1053–1061.
  25. Mondal, P., Santhosh, B., A new validated simultaneous RP- RP-HPLC method for estimation of Escitalopram Oxalate and Etizolam in bulk and table dosage form; Der Pharma Chemica, 2013; 5(3): 26–32.
  26. Suneetha, A., Muthuprasanna, P. Development and validation of HPTLC method for the estimation of Escitalopram Oxalate in bulk and pharmaceutical dosage form; International Journal of Pharma and Bio Sciences, 2013; 4(2): 504–510.
  27. Mahadik, M.V., Dhaneshwar, S.R., Application of stability Indicating HPTLC method for quantitative determination of Escitalopram Oxalate in pharmaceutical dosage form; Eurasian Journal of Analytical Chemistry, 2007; 2(2): 101–117.
  28. Kakde, R.B., Satone, D., Bawane, N. HPTLC Method for simultaneous analysis of Escitalopram Oxalate and Clonazepam in pharmaceutical preparations; Journal of Planar Chromatography, 2009: 22(6): 417–420.
  29.  Avanish Srivastav, Neeladri Srinivasulu, spectroscopic method for quantification of escitalopram oxalate in bulk and tablet dosage form, International Journal Of Novel Research And Development.
  30. A.H. Beckett, J.B. Stenlake. Practical Pharmaceutical Chemistry, Part Two, Fourth Edition, CBS Publishers &Distributors Pvt. Ltd., 278-279, 281.
  31. Validation of simple and rapid UV-spectrophotometric method with stress degradation study for sildenafil citrate S Baokar, RN Patil, R Jagatap, N Ekatpure Research Journal of Pharmacy and Technology, 5(2): 214-218.
  32. New Dissolution Method for the Evaluation of Acyclo vir using pH 7.4 Phosphate Buffer in-Vitro and Determination of its content by Validated UV Spectrophotometric Method Shrikrishna B. Baokar*, Kiran Khapake, Research Journal of Pharmaceutical Dosage Forms and Technology, 5(1): 46.
  33. In vitro new dissolution method for the evaluation of roxithromycin using pH 6.0 phosphate buffer and determination of its content by validated UV spectrophotometric method S Jagtap, S Baokar, RN Patil Research Journal of Pharmaceutical Dosage Forms and Technology, 5(5): 277-281.
  34. Validation of UV Spectrophotometric Method With Stress Degradation Study For Metformin Hydrochloride SB Baokar, D Kate Reference Id: PHARMATUTOR-ART, 1298.
  35.  Analytical method development and validation for estimation of ezetimibe from tablet dosage form by using RP-HPLC B Baokar Shrikrishna, RS Erande, SG ShaikhInt. J. of Res. in Pharm. and Biomed. Sci, 2(2): 833-841.
  36. Analytical method development and validation for estimation of sildenafil citrate from tablet dosage form by using RP-HPLC SB Baokar, B Shirke, V Sivanand, GK Pratheesh Int J Res Pharm Sci, 2(2): 130.
  37. Analytical method development and validation for simultaneous estimation of Montelukast and Ebastine by HPLC B Shrikrishna, R Nisharani Research Journal of Pharmacy and Technology, 8(1): 1-5.
  38.  High Performance Liquid Chromatographic Method Development and Validation of Cholesterol Inhibitor Drug B Shrikrishna, Journal of Pharmacy Research, 4(7): 2313-2316.
  39. Analytical method development and validation for simultaneous determination of bisoprolol fumarate and amlodipine besylate SS Baokar, SR Erande, GS Shaikh Indo american j pharm res, 2(1): 100-110.
  40.  Development and validation of RP-HPLC method for simultaneous determination of dicyclomine and mefanamic acid B Shrikrishna, S Mulgund, N Ranpise Journal of Pharmaceutical Research, 13(1): 16-19.
  41.  Spectrophotometric Method Development and Validation of Prazosin P Nikam, S Baokar, S Undare, RN Patil Research Journal of Science and Technology, 8(1): 1-4.
  42.  New spectrophotometric method development and validation of lumefantrine B Shrikrishna, A Amol, U Santosh Pharma Tutor, 2(5): 148-154.
  43. Validation of UV Spectrophotometric Method With Stress Degradation Study For Metformin Hydrochloride SB Baokar, D Kate Reference Id: PHARMATUTOR-ART, 1298.
  44. Analytical Method Development and Validation of Biguanide, Empagliflozin, and Linagliptin by RP HPLC Shrikrishna Baokar, Rajendra Patil International Journal of Scientific Research in Chemistry, 9(7): 285-291.      

Photo
Suyash Gaikwad
Corresponding author

Department of Pharmaceutics, Delonix Society’s Baramati College of Pharmacy, Barhanpur, Baramati, Dist. Pune, Maharashtra, India 413102

Photo
Dhananjay Ghodke
Co-author

Department of Pharmaceutics, Delonix Society’s Baramati College of Pharmacy, Barhanpur, Baramati, Dist. Pune, Maharashtra, India 413102

Photo
Shrikrishna Baokar
Co-author

Department of Pharmaceutical Analysis, Delonix Society’s Baramati College of Pharmacy, Barhanpur, Baramati, Dist. Pune, Maharashtra, India 413102

Photo
Rajendra Patil
Co-author

Department of Pharmaceutical Chemistry, Delonix Society’s Baramati College of Pharmacy, Barhanpur, Baramati, Dist. Pune, Maharashtra, India 413102

Suyash Gaikwad, Shrikrishna Baokar, Dhananjay Ghodke, Rajendra Patil, Comparative UV–Visible Spectrophotometric Quantification of Acyclovir Using Single-Point Standardization, Absorptivity and Calibration Curve Approaches, , Int. J. of Pharm. Sci., 2026, Vol 4, Issue 3, 3752-3761, https://doi.org/10.5281/zenodo.19281235

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