NewBioWorld A
Journal of Alumni Association of Biotechnology (2022) 4(1):20-27
REVIEW
ARTICLE
Review on various analytical methodologies for
Azithromycin
Aakanksha
Sinha and S. J. Daharwal*
University Institute of Pharmacy,
Pt. Ravishanker Shukla University, Raipur, Chhattisgarh, India
*Corresponding Author Email- daharwalresearch@rediffmail.com
ARTICLE INFORMATION
|
|
ABSTRACT
|
Article history:
Received
13 April 2022
Received in revised form
18 April 2022
Accepted
Keywords:
Azithromycin;
UV-
Visible Spectrophotometer; HPLC;
HPTLC;
Bioanalytical
method
|
|
The
azithromycin broad-spectrum macrolide antibiotic, is generally used to treat
genitourinary, respiratory, and enteric infections. The development of analytical
techniques and the different currently employed techniques for estimating
azithromycin, both in pharmaceutical dose form or in bulk, are the primary
focus of the current study. Analytical techniques are crucial for determining
compositions as they allow us to employ state-of-the-art analytical equipment
to collect both qualitative and quantitative data. Chromatographic,
electrochemical, spectroscopic, and other methods can be used
to analyse azithromycin. These methods aid in understanding key
process factors and restricting the negative impact they have on accuracy and
precision. Analytical technique development is required for maintaining high
commercial product quality standards and to comply with rules and
regulations. In response to the reference, regulatory bodies in various
nations have developed policies and procedures for giving approval,
authentication, and registration.
|
|
1.
Introduction
The antibiotic azithromycin was developed in 1980 by
the Yugoslav Pharmaceutical Firm Pliva, and it received medical approval in
1988 under the trade name Sumamed. It obtained a patent in 1981. It was
initially authorised by the FDA in 1991 and is listed on the World Health
Organization's list of essential medicines (Greenwood et al. 2008). A broad-spectrum
antibiotic with a significant amount of tissue penetration and an extended
half-life is azithromycin (Pereyre et al. 2016). Macrolide antibiotics
specifically bind to the 50S component of the ribosomes in the apicoplast and
inhibit protein synthesis (Choemunng et al. 2010). Azithromycin is a
15-membered semi-synthetic antibiotic that belongs to a member of the macrolide
family. Its azalactone ring is structurally distinct from erythromycin in that
it contains methyl-substituted nitrogen at position C-10, which increases
azithromycin's activity by 15 times compared to erythromycin at position C-9
(Mallah et al. 2011). Erythromycin A was converted into azithromycin by
treating it with hydroxylamine hydrochloride, a base, and methanol at reflux
temperature for 10 hours to produce oxime. The oxime was separated, purified,
and then Beckmann's rearrangement was performed on it in aqueous acetone for
two hours at 50 degrees in order to produce the intermediary (6,9-iminoether).
With the help of sodium borohydride in methanol or by catalytic hydrogenation
in the presence of platinum dioxide and acetic acid as solvents, the iminoether
was reduced to the secondary amine (Djokić et al. 1986). IUPAC name of
azithromycin (2R, 3S, 4R, 5R, 8R, 11R, 13S, 14R)-11-(2S, 3S, 4S,
6R)-4-(dimethyl amino)-
3-hydroxy-6-methyltetrahydro-2H-pyran-2-yl)oxy)-2-ethyl-3,4,10-
trihydroxy-13-(2R, 4R, 5S,
6S)-5-hydroxy-4-methoxy-4,6-dimethyltetrahydro-2H-pran-2-yl)oxy)-3, 5, 6, 8,
10, 14- hexamethyl-1-oxa-6- azacyclopentadecan-15-one (PubChem). Patients with
acute bronchitis, pneumonia, sinusitis, pharyngitis, tonsillitis, and otitis
media have reported success with it. It is extremely efficient against skin and
soft tissue infections, sexually transmitted diseases, and upper and lower respiratory
tract infections (Chen et al. 2007).
1.1
Physicochemical Properties:
Figure
1: Chemical structure of Azithromycin
A crystalline powder that is white, tasteless, and
odourless and has the chemical formula C38H72N2O12.
Almost insoluble in water, azithromycin is easily soluble in methylene chloride
and anhydrous ethanol has an average molecular weight of 748.9845 g/mol and an
ionisation constant of 7.34 (Babić et al. 2007, EP 2005).
DOI: 10.52228/NBW-JAAB.2022-4-1-5
|
1.2 Pharmacodynamic properties:
By preventing protein synthesis and translation,
macrolides treat bacterial infections by preventing growth of bacteria.
Azithromycin has been used in chronic respiratory inflammatory illnesses for
this reason because it also has additional immunomodulatory properties (Marvig
et al. 2012).
1.3
Pharmacokinetic properties:
Azithromycin has a 37% bioavailability after oral
ingestion. Food has little impact on absorption. P-glycoprotein (ABCB1) efflux
transporters are thought to mediate macrolide absorption in the intestines. A
primary route of elimination for azithromycin is biliary excretion, primarily
as unchanged medication. Over the course of one week, roughly 6% of the
prescribed dose gets found in urine as an unmodified medication (Pereyre et al.
2006). Half-life for terminal elimination is 68 hours. In humans, the serum
protein binding varies, ranging from 51% at 0.02 g/mL to 7% at 2 g/ml. It
causes renal and liver damage (Singlas et al. 1995).
1.4
Approved dosage form of Azithromycin:
The available dosage form in the market along with
the brand name, active pharmaceutical ingredients and concentration are
presented in Table 1.
2.
Need of Analytical method:
Analytical technique advances are incorporated into
official test procedures. Therefore, these methods are used by quality control
laboratories to assess the functionality, identity, purity, safety, and
efficacy of medication products. Regulatory authorities find the analytical
methods utilised in production to be of the utmost importance and utility. For
regulatory authorities to approve the medication, the applicant must
demonstrate control over the entire drug development process using recognised
analytical techniques (Ravisankar et al. 2015). The ICH has published
analytical guidelines papers for stability testing (Q1), validation of
analytical procedures (Q2), contaminants in drug substances and products (Q3),
and specifications for new drug substances and products (Q6) (Breaux et al. 2003).
3.
Analytical Method Development by UV Spectrophotometer:
UV-visible spectroscopy is the study of interactions
between matter and electromagnetic radiation in this range of wavelengths. The
ultraviolet's (UV) wavelength ranges from 200 to 400 nanometres (FJ et al. 2004).
It is based on the Beer-Lambert rule, which states that the absorbance of a
solution and its path length are directly related. It can therefore be used to
determine the absorber concentration in a solution for a specific path length.
Understanding how quickly absorbance changes with concentration is crucial
(Verma et al. 2018). Table 2 includes a few of the examples.
4.
Analytical method development by HPLC
High performance liquid chromatography (HPLC) is by
far the most widely used separation technique and one of the most
well-established analytical processes. It has been used in laboratories all
around the world for more than 40 years for a variety of purposes, including
pharmaceutical sciences, clinical chemistry, food and environmental assessments,
synthetic chemistry, etc. (Zotou et al. 2012). In this method, the stationary
phase could be a liquid or a solid. Using a liquid mobile phase, the components
of a combination can be separated using HPLC. The term HPLC describes liquid
chromatography in which the liquid mobile phase is mechanically pumped through
the column while the stationary phase is contained in a column (Yandamuri et
al. 2013). The column is the vibrating
heart of HPLC systems. A good silica and binding method will result in a
repeatable and symmetrical peak, which is necessary for accurate certification.
Examples of frequently utilised RP columns include C18 (USP L1), C8 (USP L8),
Phenyl (USP L11), and Cyno (USP L18) (Ravisankar et al. 2014). Researchers
usually use an HPLC to create the procedure. Table 3 provides examples of some
of those.
5.
Analytical Method Development Using HPTLC Method
Both qualitative and quantitative tasks response
positively to the powerful analytical method HPTLC (Sharma et al. 2008).
Depending on the type of adsorbents used on the plates and the development
solvent system, partition, adsorption, or both processes may be to blame for
separation. The many components of HPTLC fundamentals include theory,
instrumentation, implementation, optimisation, validation, automation, and
qualitative and quantitative analysis (Ambati et al. 2021). Table 4 displays
the variations between TLC and HPTLC. The method is often developed by
researchers using an HPTLC. Examples of a few of those are given in Table 5.
Table 1: Azithromycin formulations with brand Name and
Concentrations
S. No.
|
Drug Formulation
|
Concentration
|
Route of administration
|
Brand Name
|
1.
|
Tablet
|
600 mg
|
Oral
|
Act Azithromycin
|
2.
|
Tablet
|
250 mg
|
Oral
|
Azithromycin
|
3.
|
Solution
|
10mg/1mL
|
Ophthalmic
|
AzaSite
|
4.
|
Solution
|
1 % w/w
|
Ophthalmic
|
Azasite
|
5.
|
Injection
|
500 mg/4.8mL
|
Intravenous
|
Azithromycin
|
6.
|
Powder, for suspension
|
100 mg / 5 mL
|
Oral
|
Azithromycin
|
7.
|
Powder, for solution
|
200 mg / 5 mL
|
Oral
|
Azithromycin
|
Table no: 2 Analytical method development using UV
spectrophotometer
S. No.
|
Sample / Dosage form
|
Method / Instrument model
|
Solvent / Solution
|
Wavelength
|
References
|
1.
|
Tablet
|
Shimadzu
UV-spectrophotometer, model 1800
|
Distilled water
|
Area under curve method 219-224
nm and 275-302 nm
|
(Gulhane et al. 2021)
|
2.
|
Bulk powder and
laboratory-prepared tablets
|
UV-VIS spectrometer
|
Methanol
|
Direct measurement of absorbance
method 482 nm and 224 nm
first
derivative spectrophotometric method (475–490 nm) and (280–253 nm)
|
(El-Yazbi et al. 2020)
|
3.
|
Tablet
|
UV-Visible double beam
spectrophotometer Shimadzu UV 1800
|
Methanol
|
Simultaneous
equation method 251 nm and derivative spectroscopic methods Zero order
derivatives 251 nm, first order derivative spectroscopic method 245 nm
|
(Baig et al. 2015)
|
4.
|
Tablet
|
Double-beam
Jasco-630 UV- Visible spectrophotometer
|
Methanol
|
Simultaneous equation method 254
nm
|
(Magar et al. 2012)
|
5.
|
Bulk Powder
|
UV/VIS double beam
spectrophotometer (model 1800)
|
0.1N HCl
pH
6.8 phosphate buffer
|
Simultaneous vierodt’s
estimation method equation 298 nm
|
(Malhotra et al. 2021)
|
6.
|
Bulk
powder
|
Double-beam
UV/Visible spectrophotometer
|
Bidistilled
water
|
475
nm
|
(Omara
et al. 2014)
|
7.
|
Tablet
|
UV/Vis-1800
double beam UV/Visible spectrophotometer
|
Methanol
|
Second
order derivative spectra 326.4 nm
|
(Shah
et al. 2012)
|
8.
|
Tablet
|
Shimadzu
1601 UV visible spectrophotometer
|
Methanol
|
482
nm
|
(Haleem
et al. 2006)
|
Table 3. Analytical method development using HPLC method
S. No.
|
Sample
|
Stationary phase/column
|
Mobile phase
|
Wavelength
(nm)
|
Flow
rate (ml/min)
|
RT
(min)
|
Reference
|
1.
|
Tablet
|
Octadecylsilyl
amorphous organosilica polymer, column 25 cm x 4.6 mm
|
a. 0.18 per cent w/v solution of
anhydrous disodium hydrogen phosphate with the pH adjusted to 8.9 with dilute
orthophosphoric acid or with dilute sodium hydroxide solution
b. mixture of 25 volumes of
methanol and 75 volumes of acetonitrile
|
210
|
1
|
-
|
(IP
2010)
|
2.
|
Tablet
|
C18
column (100 mm x 4.6 mm, 5 μm particle size)
|
Methanol:
Toluene: 100mMpotassium dihydrogen phosphate buffer (60:30:10, v/v/v)
|
218
|
1
|
5.20
|
(Afzal
et al. 2016)
|
3.
|
Bulk
|
Hypersil
GOLD C-18 column packed with deactivated silica (250 mm x 4.6 mm x 5 µm)
|
Ammonium
acetate solution: acetonitrile (18:82, v/v)
|
210 nm
|
0.7
|
-
|
(Abou
et al. 2017)
|
4.
|
Bulk
and Tablet
|
Xterra
C18 column (150 ×4.6 mm; 5µ)
|
Acetonitrile
and phosphate buffer (pH adjusted to 7.5) in a ratio of 50:50 v/v
|
215
|
1
|
-
|
(Dewan
et al. 2013)
|
5.
|
Bulk
and Tablet
|
Kromasil
C18
|
Ortho
Phosphoric Acid buffer and Methanol in the ratio of 70:30 v/v
|
292
|
1
|
2.8
|
(Gundala
et al. 2014)
|
6.
|
Bulk
and Tablet
|
ODS-3
(250 mm ×4.6 mm x 5 μm)
|
Methanol:
Phosphate buffer (9:1, v/v)
|
210
|
1.2
|
-
|
(Al-Hakkani
et al. 2019)
|
7.
|
Tablet
|
C18
(250 mm × 4.6 mm, 5 μ) column
|
Phosphate
buffer: Methanol (pH adjusted to 5.0 with ortho phosphoric acid)
|
215
|
1
|
-
|
(Hinge
et al. 2015)
|
8.
|
Tablet
|
C18
column (250 mm x 4.6 mm id, 5 µm particle size)
|
Methanol:
potassium dihydrogen phosphate buffer (60:40, v/v
|
279.6
|
1
|
5.08
|
(Kamble
et al.2015)
|
9.
|
Bulk
and pharmaceutical formulation
|
supleco
C18 (25cm×4.6 mm, 5 µm)
|
80:20
Na2HPO4: Methanol
|
273
|
1
|
2.77
|
(Nagaraju
et al. 2018)
|
10.
|
Tablet
|
Hypersil
C18 column (250×4.6 mm, 5μ)
|
Phosphate
buffer(pH-3.5) and acetonitrile in the ratio of 45:55%v/v
|
240
|
1
|
4.472
|
(Padmavathi
et al. 2015)
|
11.
|
Tablet
|
LiChroCART®
125×4.6 mm
|
Mixture
of buffer, acetonitrile and methanol (60:20:20) a
|
215
|
1
|
5
|
(Zubata
et al. 2002)
|
12.
|
Tablet
|
C18
phenomenex Gemini 5m, 250cm x 4.6mm
|
Acetonitrile
and mono basic potassium phosphate buffer of pH 8.5 in the ratio of 65:35 v/v
|
220
|
2
|
6.1
|
(Raja
et al. 2010)
|
13.
|
Bulk
and tablet dosage
|
Xterra
RP-18 column (250 × 4.6 mm ID, 5 mM)
|
Water:
methanol (63:37% v/v)
|
210
|
1.2
|
-
|
(Sahoo
et al. 2015)
|
14.
|
Tablet
|
Hypersil-
keystone C18 (250 X 4.60 mm), 5µm column
|
Buffer
Potassium dihydrogen Phosphate: Acetonitrile (pH 7.5 adjusted with ortho
phosphoric acid).
|
215
|
1.2
|
9.761
|
(Sahu
et al. 2015)
|
15.
|
Tablet
|
Xterra
RP18 (250 mm × 4.6 mm, 5 µm)
|
Acetonitrile–dipotassium
phosphate (30 mM) (50:50, v/v) (pH 9.0)
|
215
|
1.7
|
11.5
|
(Shaikh
et al. 2008
|
16.
|
Tablet
|
C18
column, 4.6×150mm, 5µm
|
Ammonium
acetate buffer pH 6 ±0.02 pH and methanol (30:70 %v/v)
|
262
|
1
|
4.862
|
(Vennela
et al. 2014)
|
Table 4. Major Differences between TLC and HPTLC (Gunjal et al. 2022)
Parameters
|
TLC
|
HPTLC
|
Technique
|
Manual
|
Instrumental
|
Efficiency
|
Less
|
High
|
Layer
|
Lab
made
|
Precoated
|
Mean
particle size
|
10-12
µm
|
5-6
µm
|
Layer
thickness
|
250
µm
|
100µm
|
Plate
height
|
30
µm
|
12
µm
|
Solid
support
|
Silica
gel, Alumina, Kieselguhr
|
Silica
gel-Normal Phase C8 and C18-reverse phase
|
Spotting
of sample
|
Manual
(Capillary/Pipette)
|
Syringe
|
Volume
of sample
|
1-5µL
|
0.1-0.5
µL
|
Separation
|
10-15
cm
|
3-5
cm
|
Separation
time
|
20-200
min
|
3-20
min
|
Analysis
time
|
Slower
|
Storage
migration distance and the analysis time is greatly reduced
|
Scanning
|
Not
possible
|
Use
of UV/visible/fluorescence scanner
|
Table 5. Analytical Method Development Using HPTLC Method
S. No.
|
Sample
|
Stationary Phase/ Column
|
Mobile phase
|
Wavelength
(nm)
|
Reference
|
1.
|
Tablet
|
Aluminium
plates precoated with silica gel 60F254
|
Ethyl
acetate: methanol: acetone: toluene: ammonia (1:5:7:0.5:0.5, v/v)
|
235
|
(Gawande
et al. 2018)
|
2.
|
Tablet
|
Aluminium
plates precoated with silica gel 60F254
|
Chloroform:
ethanol :25% ammonia 6:14:0.2 (v/v/v)
|
483
|
(Bouklouze
et al. 2017)
|
3.
|
Tablet
|
Aluminium
plates precoated with silica gel 60F254
|
Methanol:
ethyl acetate: toluene: ammonia (30%) 4.5:3.5:2:0.4%v/v/v/v
|
450
|
(Raval
et al. 2014)
|
Conclusion
The focus of the study has primarily
been on the various analytical techniques used to estimate azithromycin as well
as medicines in bulk form. The development of analytical techniques such as UV
spectrophotometry, HPLC, HPTLC, and RP-HPLC has been the focus of research. The
developed analytical procedures have better levels of automation and sample
throughput and are more sensitive, dependable, reproducible, and precise. A
literature review is conducted to gather data on various analytical and
instrumental analytical techniques. A unique analytical approach could be
developed using such data.
Competing Interests
Authors
report no conflict of interest concerning this review article.
References
Abou Assi, R., Darwis, Y., Abdulbaqi, I.M. and Asif,
S.M., 2017. Development and validation of a stability-indicating RP-HPLC method
for the detection and quantification of azithromycin in bulk, and
self-emulsifying drug delivery system (SEDDs) formulation. Journal of
Applied Pharmaceutical Science, 7(9), pp.020-029.
Afzal, S.J.S., Khan, P.M.A.A. and Baig, M.S., 2016.
RP-HPLC analytical method development and validation for azithromycin and
cefpodoxime in tablet dosage form.
Al-Hakkani, M.F., 2019. A rapid, developed and validated
RP-HPLC method for determination of azithromycin. SN Applied
Sciences, 1(3), p.222.
Ambati P, Bala Krishna P, Srinivasa Rao Y, Varaprasada
Rao K and Deepthi R. 2021. Instrumentation and future prospectus of HPTLC-A.
World Journal of Pharmaceutical Research Vol.10 Issue 6, 650-661
Babić, S., Horvat, A.J., Pavlović, D.M. and
Kaštelan-Macan, M., 2007. Determination of pKa values of active pharmaceutical
ingredients. TrAC Trends in Analytical Chemistry, 26(11),
pp.1043-1061.
Baig, M.S., Anees, M.I., Muntasiruddin, K., Naeem, S. and
Khan, J., 2015. Simultaneous estimation of azithromycin and cefpodoxime
proxetil from its tablet dosage form by UV Visible spectroscopic methods. World
Journal of Pharmacy and Pharmaceutical Sciences, 4, pp.1420-1430.
Bouklouze, A., Kharbach, M., Cherrah, Y. and Vander
Heyden, Y., 2017, March. Azithromycin assay in drug formulations: Validation of
a HPTLC method with a quadratic polynomial calibration model using the accuracy
profile approach. In Annales Pharmaceutiques Francaises (Vol. 75, No.
2, pp. 112-120). Elsevier Masson.
Breaux J, Jones K and Boulas P. Analytical methods
development and validation. Pharm. Technol. 2003; 1:6-13.
Chen, L., Qin, F., Ma, Y. and Li, F., 2007. Quantitative
determination of azithromycin in human plasma by ultra-performance liquid
chromatography–electrospray ionization mass spectrometry and its application in
a pharmacokinetic study. Journal of Chromatography B, 855(2),
pp.255-261.
Choemunng, A.
and Na-Bangchang, K., 2010. An alternative liquid chromatography-mass
spectrometric method for the determination of azithromycin in human plasma and
its application to pharmacokinetic study. Journal of liquid chromatography
and related technologies, 33(16), pp.1516-1528.
Dewan, I., Amin, T., Hossain, M.F., Hasan, M., Chowdhury,
S.F., Gazi, M. and Islam, S.A., 2013. Development and validation of a new HPLC
method for the estimation of azithromycin in bulk and tablet dosage
form. Int J Pharm Sci Res, 4(1), pp.282-286.
Djokić, S.,
Kobrehel, G., Lazarevski, G., Lopotar, N., Tamburašev, Z., Kamenar, B., Nagl,
A. and Vicković, I., 1986. Erythromycin series. Part 11. Ring expansion of
erythromycin A oxime by the Beckmann rearrangement. Journal of the
Chemical Society, Perkin Transactions 1, pp.1881-1890.
El-Yazbi, A.F., Khamis, E.F., Youssef, R.M., El-Sayed,
M.A. and Aboukhalil, F.M., 2020. Green analytical methods for simultaneous
determination of compounds having relatively disparate absorbance; application
to antibiotic formulation of azithromycin and
levofloxacin. Heliyon, 6(9), p.e04819.
European Pharmacopoeia, edition vol. 16. 2005,1649.
FJ, SDH and Nieman DA, Introduction to UV Spectroscopy in
Principle of Instrumental Analysis. 2004, 5th ed., Thomson book/Cole, 156.
Gawande, V.T., Bothara, K.G. and Satija, C.O., 2018.
Validated stability-indicating HPTLC method for cefixime and azithromycin with
preparative isolation, identification, and characterization of degradation
products. Acta Chromatographica, 30(4), pp.212-218.
Greenwood, D., 2008. Antimicrobial Drugs: Chronicle of
a Twentieth Century Medical Triumph. OUP Oxford.
Gulhane, C.A., Motule, A.S., Manwar, J.V., Sawarkar,
H.S., Ajmire, P.V. and Bakal, R.L., 2021. UV-Visible Spectrophotometric
estimation of azithromycin and cefixime from tablet formulation by area under
curve method. World Journal of Pharmaceutical Sciences, pp.163-168.
Gundala, U., Bonagiri, C. and Nayakanti, D., 2014. Simultaneous
estimation of azithromycin and cefixime in bulk and pharmaceutical formulation
by Reverse Phase High Performance Liquid Chromatography (RP-HPLC), World
Journal of Pharmaceutical Research Vol.3.
Gunjal
Sanket, B and Dighe, PR, Analysis of herbal drugs by HPTLC: A
review. Asian Journal of Pharmaceutical Research. 2022;10(2):125-8.
Haleem, D., Shireen, E., Haleem, M., Kaye, W., Bailer,
U., Frank, G., Wagner, A. and Henry, S., 2006. Degradation studies of
azithromycin and its spectrophotometric determination in pharmaceutical dosage
forms. Pak. J. Pharm. Sci, 19(2), pp.98-103.
Hinge, M.A., Desai, N.A., Mahida, R.J. and Dalvadi, H.P.,
2015. Spectrophotometric and High-Performance Liquid Chromatographic
Determination of Ofloxacin and Azithromycin in Pharmaceutical
Tablets. Pharmaceutical Methods, 6(1), p.26.
https://pubchem.ncbi.nlm.nih.gov/#query=azithromycin.
Kamble, R.N., Kumar, A.P. and Mehta, P.P., 2015. RP-HPLC
Analytical Method Development and Validation for Azithromycin and Levofloxacin
in Tablet Dosage Form. Int. J. Pharm. Sci. Rev. Res, 31, pp.162-165.
Magar, S.D., Tupe, A.P., Pawar, P.Y. and Mane, B.Y.,
2012. Simultaneous spectrophotometric estimation of cefixime and azithromycin
in tablet dosage form. Journal of Current Pharma Research, 2(3),
p.535.
Malhotra, D., KALIA, A. and Tomar, S., 2011. Validated UV
spectroscopic method for simultaneous estimation of Azithromycin and
Prednisolone. International Journal of Pharmacy and Pharmaceutical
Sciences, 3, pp.299-302.
Mallah,
M.A., Sherazi, S.T.H., Mahesar, S.A. and Rauf, A., 2011. Assessment of
azithromycin in pharmaceutical formulation by Fourier-transform infrared
(FT-IR) transmission spectroscopy. Pakistan Journal of Analytical and
Environmental Chemistry, 12(1 and 2), p.7.
Marvig, R.L., Søndergaard, M.S., Damkiær, S., Høiby, N.,
Johansen, H.K., Molin, S. and Jelsbak, L., 2012. Mutations in 23S rRNA confer
resistance against azithromycin in Pseudomonas aeruginosa. Antimicrobial Agents
and Chemotherapy, 56(8), pp.4519-4521.
Nagaraju, K. and Chowdary, Y.A., 2018. Analytical Method
Development and Validation for The Simultaneous Estimation of Azithromycin and
Cefixime by RP-HPLC Method in Bulk and Pharmaceutical Formulations.
International Journal of Research in Science and Technology, Vol. 4.
Omara, H.A., Ahmed, H.A., El-Mahdy, A.A. and Musbah,
S.A., 2014. New spectrophotometric determination of azithromycin in pure and dosage
forms using N-bromosuccinimide and potassium permanganate as
oxidants. World J. of Pharmacy and Pharmaceutical Sciences, 3(4),
pp.100-112.
Padmavathi, K. and Rao, M.S., 2015. A new validated
RP-HPLC method for the simultaneous determination of ambroxol and azithromycin
in combined dosage form. Bulletin of Pharmaceutical and Medical Sciences
(BOPAMS), 3(4).
Pereyre, S.,
Renaudin, H., Charron, A., Bébéar, C. and Bébéar, C.M., 2006. Emergence of a
23S rRNA mutation in Mycoplasma hominis associated with a loss of the intrinsic
resistance to erythromycin and azithromycin. Journal of Antimicrobial
Chemotherapy, 57(4), pp.753-756.
Pereyre, S.,
Renaudin, H., Charron, A., Bébéar, C. and Bébéar, C.M., 2006. Emergence of a
23S rRNA mutation in Mycoplasma hominis associated with a loss of the intrinsic
resistance to erythromycin and azithromycin. Journal of Antimicrobial
Chemotherapy, 57(4), pp.753-756.
Pharmacopeia, Indian. Vol-I and II Indian Pharmacopeia
Commission. Ghaziabad, Govt of India Ministry of Health and Family
Welfare. 2010: 861-62.
Raja, M.S., Shan, S.H., Moorthy, S. and Perumal, P.,
2010. RP-HPLC method development and validation for the simultaneous estimation
of azithromycin and ambroxol hydrochloride in tablets. International
Journal of Pharm Tech Research, 2(1), pp.36-9.
Raval, P.L., Mehta, F.A., Ahir, K.B. and Bhatt, K.K.,
2014. Simultaneous estimation of azithromycin dihydrate and cefixime trihydrate
in pharmaceutical formulation by HPTLC method. Journal of Liquid Chromatography
and Related Technologies, 37(13), pp.1805-1818.
Ravisankar P,
Gowthami S and Rao GD. A review on analytical method development. Indian
Journal of Research in Pharmacy and Biotechnology. 2014;2(3):1183.
Ravisankar P, Navya CN, Pravallika D and Sri DN. A review
on step-by-step analytical method validation. IOSR J
Pharm. 2015;5(10):7-19.
Sahoo, D.K. and Sahu, P.K., 2015. Chemometric approach
for RP-HPLC determination of azithromycin, secnidazole, and fluconazole using
response surface methodology. Journal of Liquid Chromatography and Related
Technologies, 38(6), pp.750-758.
Sahu, A., Jatavb, M.P., Vinodec, R. and Yadavd, K., 2015.
Development and validation of a reversedphase HPLC method for simultaneous
estimation of azithromycin in tablet dosage form. International Journal
Pharmaceutical Chemistry, 5, p.09.
Shah, V. and Raj, H., 2012. Development and validation of
derivative spectroscopic method for simultaneous estimation of cefixime
trihydrate and azithromycin dihydrate in combined dosage
form. International Journal of Pharmaceutical Sciences and
Research, 3(6), p.1753.
Shaikh, K.A., Patil, S.D. and Devkhile, A.B., 2008.
Development and validation of a reversed-phase HPLC method for simultaneous
estimation of ambroxol hydrochloride and azithromycin in tablet dosage
form. Journal of Pharmaceutical and Biomedical Analysis, 48(5),
pp.1481-1484.
Sharma A,
Shanker C, Tyagi LK, Singh M and Rao CV 2008. Herbal medicine for market
potential in India: an overview. Academy Journal of Plant Sci.;1(2):26-36.
Singlas, E., 1995. Clinical Pharmacokinetics of Azithromycin. Pathologie-Biologie, 43(6),
pp.505-511.
Vennela, K., Reddy, M.M. and Subramanian, S., 2014. A New
RP-HPLC Method for the Simultaneous Estimation of Azithromycin and Levofloxacin
in it’s Pure and Pharmaceutical Dosage Form as per ICH Guidelines. International
Journal of Pharma Research and Health Sciences Volume 2 (6), Page-507-513.
Verma G and Mishra M. Development and optimization
of UV-VIS spectroscopy-a review. World Journal of Pharmaceutical
Research. 2018;7(11):1170-1180.
Yandamuri N, Srinivas Nagabattula KR, Kurra SS, Batthula
S, Nainesha Allada LPS and Bandam P. Comparative study of new trends in HPLC: a
review. International Journal of Pharmaceutical Sciences Review and
Research.2013; 23:52-57.
Zotou A. An
overview of recent advances in HPLC Instrumentation. Open
Chemistry. 2012;10(3):554-569.
Zubata, P., Ceresole, R., Rosasco, M.A. and Pizzorno,
M.T., 2002. A new HPLC method for azithromycin quantitation. Journal of
Pharmaceutical and Biomedical Analysis, 27(5), pp.833-836.