Infrared
sp
ectrophotometry
David
G.
Watson
Lecture
5
EMAD.ALSAMARRAI
/-HftEt
Atpd*f$
'*
stearate and croscarmellose sodium.s The most notable variationsin
absorbanceintensity
in
the spectrumof
the blendoccur
at2030 nm and 2240 nm. Absorbance at these wavelengths can be attributed to hydrochlorothiazide and lactose, respectively' The more complete the blend, the less the standard deviationsof
the absorbances at these wavelengths obtained when several batches sampled at the sarRe timepoint
are compared.As would
be expected, the standard deviations shownin
Figure 5'17 decreasewith
blend time, but the decrease is less marked afterl0
min.In
this studyit
was found that blendingfor
more than 20min
caused a lossin uniformity
dueto
an alterationin
theflow
piopertiesof
the powder, resultingfrom
a changein
thedistribution
of
the magnesium stearate.NIR
probes can be inserteddirectly
into blendersto monitor mixing.
Determination
of
active
ingredients
in
multicomponent
dosage
forms
NIRA
has been usedto
analyse multicomponent tablets, e.g. aspirinlcaffeinelbutalbarbital, and can examine such tablets
in
a passffail manner.u The tabletsfail
when the ingredientsfall
outside the specified range as shown in Figure 5'19, which is derived by the monitoring of two wavelengths in theNIR
spectrum of theformulation'
This might
appear simple but a great dealof
developmentwork
was carried out in order to determine which wavelengths to monitor in order give the best discrimination'In-pack
determination
of
active
ingredifnts
In
clinical trials
of
a new drugit
is important to ensure that the tablets have been packed and coded correctly. Figure 5.20 shows the absorbance of tablets monitored at a wavelengthwhich
can be correlatedwith
the contentof
active ingredient.TIt
was possible to distinguish between tablets containing 0,5,
10'
15 and 207oof
the active ingredient.tt
was also possibleto
adapt the methodto
determinationof
the active ingredientof
the tablets'in
pack' using afibreoptic
probe, although the precision wasnot quite as good as that obtained
from
the unpackaged tablets'Determination
of
Polymorphs
NIRA
provides a non-destructive alternativeto differential
scanning calorimetryfor
the determination
of polymorphic
formsof
drugs, e.g. thepolymorphic
formsof
caffeine.a
NIRA
has also been usedto
determine opticalpurity. While
the pureFig.5.19
Application of NIRA to control of the ingredients in tablets containing three comPonents. Reproduced with permission from SpectroscoPY (see Reference 6). 0.64 0.63 0.62 0.61 0.60 0.59 0.58 0.57 0.56 0.55 o.'ss o.so 0.57 0.58 0,59 0.60 0'61 0.62 in ..1*. E
s
q) N N 0) (J o o alt Absorbance al2266nmtt" N
o
r x c o ttl i(! !> i,: lC) :-O :e 'A -0.35 -0.75 -1.15 Fig. 5.20 Determination of the amount of active ingredient in tablets bYdirect use of NIRA.
Reproduced with
permission from J. Pharm'
Biomed. Anal. (see
Reference 7)'
opposite enantiomers
of
a substance have identicalNIR
spectra'mixing
two enantiomers together causes a changein
the spectrum' Thus thereis
potentiaffor
determining the percentage of each enantiomerin
an enantiomeric mixture and hencefor
the controlof
enantiomeric impurities'aM
oistu
re determi
nation
Moisture determination by
NIRA
continues to be an areaof
interest.In
a recent paper the determinationof
waterin
the anti-fungal compound caspofungin acetate wasJ"*onrrruted.s
The method used the chemometric methodof partial
least squares(pLS)
analysisof
the second derivative spectrumin
orderto
develop a quantitative methodfor
waterin
the samples. TheNIRA
method was validated againstKarl
Fischer
titration.
The water affects the whole spectral region between 950 and 1650 nm and thus a method examining the effectsof
increasing levelsof
water on the whole spectral region was foundto
be robust' The PLS method uses broad bandsof
wavelengthsto
construct a calibration model. The statistical concepts are quitedifficult
to understand; however, a recent booke provides an excellent introductionto
chemometrics,which
is a subjectof
increasing importance in analytical chemistry.process
control
of
components
in
a shampoo
NIRA
was studied as a technique for process control in the manufacture of shampoo.'o The formulation contained detergent, solids, water andglycerol' In
order to carry out the process control, samples of shampoo were taken at various points in the productionpror.r..
NIR
reflectance spectra were obtainedfor
75 samples over the range11012500
nm.A
multiple
step-up linear regression analysis was performed at nine wavelengths.This
typeof
statistical test consistsof multiple
correlationsof
\ \ablets conraining 5% of experimental
drug
\uul"rt.ontalnlng 10% ol experimental drug
Tablets containing 2090 of expelilnental
1472
1474: t: t: ir ::l::t ',! t!t::i:!i
absorbances at different wavelengths
with
the concentrationof
the ingredientsof
the shampoo determinedby
classical methods. Correlation coefficientsof
0.99 were obtainedfor
water, solids and detergent,with
a ratherlower
correlationfor
glycerol,which at
lToin
thematrix
was closeto
thelimits of
detection. The technique was deemed suitablefor flow-through monitoring.
The computermonitoring
of
the processby
NIRA
could be used tocontrol
actuators and valveswithin
the chemical processing plant.Additional
problerns
1
.
Four steroids (i), (ii), (iii) and (iv) correspond to the structures below (Fig. 5.21). The steroidsare analysed by lR as KBr discs. The principal bands in their spectra between 1500 cm-l "nA+OOti.r-t.rugiven below. Determinewhich
of thestructuresgiven belowcorrespond
to (i), (ii), (iii) and (iv).
(i)
Steroid ca 3000 cm-1, 1710 cm-1, 1670 cm-1, 1620 cm-1'(ii)
Steroid 3450cm-1 (broad band), ca 3000cm-1, 1710cm-l, 1550cm-t, 1620cm-t'1610 cm-r.
Steroid 290f3500 cm-1 (very broad band obscuring other bands in this region)'
1605 cm-1, 1580 cm-1, 15oo cm-1.
St"-iJ
3400 cm-l (broad band), ca 3000 cm-1, 1570 cm-l, 1505 cm-l.Fig. 5.21
Testosterone Progesterone
HO
Oestradiol
uexametnasurreouoJalsolsal (^t) :lotpeJrsao (t1) :auoseqlaurexap (1;) iauolalsaEotd (t):tansuy 2. The principal bands between 1500 cm-l and 4000 cm-1 are given for the m6lecules shown
below (Fig. 5.22). Associate each set of data with one of the molecules.
[i
-."
ioijo.;:';ti;rjgoo.1n-'
(very b.road), 1600.cm-l (weak), 1500 cm 1.(ii)
3300-3500 cm-r (broad), ca3000.t-t,
t75O cm-1,1720cm-1, 1650 cm-1, 1612 cm-l,1600 cm-r.
tiiil
giZgir-t
{rh.rp), 2300-3200 cm-1 (broad band obscuring other bands in this region),' '
iiAg;;-r
iwitfr siigl",t s6outder ati750.r-t),
1690 cm-1, 1505 cm-1, 1580 cm-r,1500cm1.
(iv) 3380 cm-l, 3320 cm-1, ca 3000 cm -1, 2300-2900 cm 1 (very broad), 1690 cm-',
1620 cm-1, 1500 cm-1, 1500 cm-1. (iii) (iv) :tl Dexamethasone (Continued)
Additiohal:
Fig.5.22
Ct-coocH2cHrilHlcrHu;, Ia\
ttl
I NHz Procaine.HCl cl-? HOCH2CH2NH(CH3)2 Diphenhydramine.HCl11p'aurero:d (nt) iut;1t:tdtue (ttt) ia1e1a:e
pJk"-7ff$1,
o'
cooHa
6
Ampicillin Prednisolone acetateauolos!upard (rr) l11g'aurue.rplquaqdtp (t) :raMsuv I
References
1. Williams DH, Flemingl. Spectroscopic Methods in Organic Chemistry,4th ed. London:
McGraw-Hill; 1989.
2. Schrimer RE. Modern Methods of Pharmaceutical Analysis, vol. l . Boca Raton: CRC hess; l99l '
3. Hartauer KJ, Miller ES, Guillory IK. Int J Pharm 1992;85:163:14.
4. Ciurczak EW. Applied Spectroscopy Reviews 1987;23:14743. 5. Wargo DJ, Drennen JK.,t Pharm Biomed Anal 1996;14:1415-23.
6. Ciurczak EW, Maldacker T. Spectroscopy 1986;l:3G9.
7. Dempster MA, Jones JA, Last IR, MacDonald BF, Prebble KA.,f Pharm Biomed Anol 1993;
rl(12): t087-92.
8. Dunko A, Dovletoglou A. J Pharm Bionted Anal 2002;28:145-54.
9. Brereton RE. Chemometrics. Data Analysisfor the Laboratory and Chemical Plant. Wiley; 2003.
10. Walling PL, Dabney JM.
/
Soc Cosmet Chem 1988;39:l9l-9. Further readingBunaciu AA, Aboul-Enein HY, Fleschin S. Application of Fourier transform infrared spectrophotometry in pharmaceutical drugs analysis. Appl Spectosc Rev 2010;45:206-19. Bunaciu AA, Aboul-Enein HY, Fleschin S. Recent applications of Fourier transform infrared
spectrophotometry in herbal medicine analysis. Apltl Specn'osc Rev 20ll;46:2514O.
Karande AD, Heng PWS, Liew CV.In-line quantification of micronized drug and excipients in tablets by near infrared (MR) spectroscopy: Real time monitoring of tabletting process. Int .I Pharm 2010;396:63-74.
Komsta L, Czarnik-Matusewicz H, Szostak R, et al. Chemometric detection of acetaminophen in pharmaceuticals by infrared spectroscopy combined with pattern recognition techniques:
Comparison of attenuated total reflectance-FTlR and Raman spectroscopy. J AOAC Int 2Oll:94:743-9.
Mantanus J, Ziemons E, Lebrun P, et al. Active content determination of non-coated pharmaceutical pellets by near infrared spectroscopy: Method development, validation and reliability evaluation. Talanta 2010;E0: I 750-7.
Sasic S. Parallel imaging of active pharmaceutical ingredients in some tablets and blends on Raman and near-infrared mapping and imaging platforms. Analytical Methods 2011;3:806-13'
Additional
readingSocrares G. Infrared Characteristic Group Frequencies: Tahles and Charts. 2nd ed. Wiley Interscience; 1994.
Griffiths P, De Haseth JA. FourierTransfornr Infrared Spectrometry. Wiley Interscience; 1986.
Murray I, Cowe IA. Making LightWork: Advances in Near InJVared Spectroscopy. Wiley Interscience;
t992.
S iesler HW. Near- i nfi'ar e d S p e c t r o s c opy. Wi ley-VCH; 2002.
Journal of Near Infrared Spectroscopy
Usefulwebsites
www.spectroscopynow.com
Good coverage of IR, NIR spectroscopy and also chemometrics.
hup://www.ijvs.com/index.html
Website of electronic joumal on vibrational spectroscopy. Useful articles both introductory and advanced. Strong focus on Raman sPectroscopy.
http ://www.spectroscopyeurope.com/