Project Dst

  • June 2020
  • PDF

This document was uploaded by user and they confirmed that they have the permission to share it. If you are author or own the copyright of this book, please report to us by using this DMCA report form. Report DMCA


Overview

Download & View Project Dst as PDF for free.

More details

  • Words: 7,533
  • Pages: 24
OBJECTIVES OF THE STUDY Vibrational spectroscopic techniques including FTIR spectroscopy, are potential tools for non-invasive optical tissue diagnosis and protein conformations. The applications of spectroscopic techniques in biological studies have increased a great deal in recent years. A considerably wide field of medical and biological studies has been covered by spectroscopic methods in the past few years. It is strongly believed that in studies related to spectroscopic techniques, both the reliable experimental procedure and characterization of spectral peak positions and their assignment along with accurate peak detection and definition are of great importance. Many scientists have used different techniques. It appears that there is a remarkable parity in their spectral interpretation of comparable ones in their collected spectra of different types of the samples. Due to these facts mentioned above, we have a plan to study this sophisticated technique to apply to different fields of research. We aim to provide a detailed database for the clinicians and researchers who are working in the field of industry, biology, chemistry and geology. BIOMEDICAL APPLICATION OF FOURIER TRANSFORM INFRARED SPECTROSCOPY IN DIAGNOSIS OF DIFFERENT COMPLEX HUMAN BODY DISORDERS Introduction The ability to diagnose the early onset of disease, rapidly, non-invasively and unequivocally has multiple benefits. Some of the clinical findings currently in use are not reliable. There are so many diseases covered under metabolic disturbances. It is very important to measure metabolism directly. One of the strategies employed by the emergent science of metabolism is metabolic fingerprinting. It involves rapid, high-throughout global analysis to discriminate between the different biological blood samples of complex body disorders. It has been reported that whether clinical, biophysical or biochemical in nature, the clinical tests have been inconsistent and contradictory. Many clinicians thought these tests are unrealistic. Research continues for the optimum diagnostic test for the 1

complex body disorders. Fourier transform infrared spectroscopy was developed in order to overcome the limitations encountered with dispersive instruments. The main problem was very slow scanning process. A method for measuring all of the infrared frequencies simultaneously was needed. The solution of this problem was developed which employed a very simple optical device called n interferometer. The interferometer produces a unique type of signal which has all the infrared frequencies “encoded” into it. Signal is measured in one second only with no disturbances. Fourier transform infrared spectroscopy has considerable potential as a rapid high throughput screening method for the diagnosis of complex human body disorders. Other options should be considered for the screening of the diseases. A more holistic approach can be adopted. Method should be rapid, reagent free, nondestructive, high throughput, relatively inexpensive and require a minimal amount of background training. These features of the requirement could be provided by using spectroscopy. A routine spectroscopy should be portable and applicable to point of core medicine. Infrared and Raman spectroscopy can solve the purpose of differential diagnosis of human body disorders. Fourier Transform Infrared Spectroscopy (FTIR) In biological system, usually the rotational fine spectrum does not appear and one is encountered with vibrational studies. Due to this fact we are giving our main stress to Fourier Transform infrared Spectroscopic technique of spectroscopy. FTIR spectroscopy is a well established and constantly developing analytical method. It allows for rapid, high-throughput, non-destructive analysis of a wide range of sample type [1, 2]. Chemical bonds absorb internal energy at specific frequencies (or wavelengths), the basic structure of compounds can be determined by the spectral locations determined by the spectral locations of their infrared absorptions. If we plot a graph between compound’s infrared transmission and frequency, a spectrum is obtained which is known as fingerprint. We can compare this spectrum with reference spectrum and get a identification of the material.

2

Unknown spectra can be analyzed to determine the base of the material of the unknown by comparing their spectra to spectral spectra of known materials. We can store these spectra in our computer based library. The resulting spectra produce a profile of the sample, a unique molecular fingerprint can be used to easily screen and scan samples for many different components. This technique is used to detect functional groups and characterizing materials. Infrared spectroscopy has been a workhorse technique for material analysis in the laboratory for several years. Infrared spectrum represents a fingerprint of a sample with absorption peaks which correspond to the frequencies of vibrations between the bonds of the atoms making up the material. Each different material is unique combination of atoms, no two compounds produce the exact same infrared spectrum. Infrared spectroscopy can result in a positive indication of every different kind of material, size of the peaks in the spectrum is a direct indication of the amount of material present. Infrared technique is an excellent tool for the quantative analysis these days. It is not possible to excite the vibrational levels of the molecule by the visible light, even though it has high energy. We can however excite these levels in the infrared region (4000 cm-1 to 400 cm-1). The atoms remain in unison against attractive and repulsive forces existing in a molecule with the help of different types of bonds at same distances. One needs the energy to affect or break bonds in stretching or for altering the angle between them. Interaction with electromagnetic radiations leads to transitions from lower energy state to higher energy state. The major components of energy of a molecule are (i)

The vibration of the constituents.

(ii)

The rotations of the molecules.

(iii)

The motion of the electrons in the molecule.

Energy transition must satisfy the Bohr condition F = − K (t − req. ) = − Kx

(Hook’s law)

K stands for the force component. r for the distance between the nuclei. The energy of the vibration is 3

…(1)

1 E = kx 2 2

…(2)

The energy absorbed in transitions from state E1 to state E2 is ∆ = E2 − E1 = hν

…(3)

If the system behaves like a harmonic oscillatory of mass µ R , its frequency in Hertz will be

ν=

or

1 2π

k µR

ν 1 k =υ cm-1 c 2π c µ R µR =

…(4)

M1M 2 is reduced mass. M1 + M 2

The vibrational energy is given by 1 1  hc   Ev =  υ +  hυ = υ +  Joule 2 2 λ  

…(5)

ν is the vibrational quantum number. The lowest energy will be at ν = 0 . The constraints of selection rules allow only the heteronuclear diatomic molecules to give vibrational spectra. The force constant [3] is given by k = 4π 2 c 2 µ Rν 2 Nm-1

…(6)

FTIR spectroscopy identifies chemical bonds in a molecule by producing an infrared spectrum. FTIR generates an infrared spectral scan of samples that absorb infrared light. Metals do not absorb infrared light. Polymers can be scanned with FTIR. A material’s absorbance of infrared light at different frequencies produce a unique identification based upon the frequencies at which the material absorb infrared light and the intensity of those absorptions. The resulting spectrum is typically specific to a general class of material. Unknown spectra can be analysed to determine the base material of the unknown by comparing their spectra with spectra of known materials. The resulting spectra produce a profile of the samples. A unique molecular fingerprint can be used to easily screen and scan samples for many different compounds. 4

FTIR spectroscopy is used to identify compounds or investigate sample composition. It exploits the fact that molecules have specific frequencies at which they rotate or vibrate corresponding to discrete energy levels (vibrational modes). These resonant frequencies are determined by the shape of the molecular potential energy surfaces, the masses of the atoms and by the associated vibronic coupling. If in a molecule for a vibrational mode to be infrared active, thus it must be associated with changes in the permanent dipole. When the molecular Hamiltonian corresponding to the electronic ground state can be approximated by a harmonic oscillator problem in the neighbourhood of the equilibrium molecular geometry under the Born-oppenheimer and harmonic approximations. The resonant frequencies may be determined by the normal modes corresponding to the molecular electronic ground state potential energy surface. These frequencies of resonance can be in a first approach related to the strength of the bond and the mass of the atoms at either end of it. Vibrational frequencies can be associated with a particular bond type. Simple diatomic molecules have only one bond which may stretch. Complex molecules have many bonds, and vibrations can be conjugated, leading to infrared absorptions at characteristic frequencies that may be related to chemical groups. In the organic compounds, the CH2 group is very common. This group contains atoms and they can vibrate in different ways : (a) Symmetrical and antisymetrical (b) Stretching (c) Scissoring (d) Rocking (e) Wagging (f) Twisting The technique of spectroscopy works exclusively on samples with covalent bonds. Simple spectra can be obtained from the samples with few IR active bond and high levels of purity. More complex molecular structures lead to more absorption bands and more complex spectra. FTIR has been used for characterization of very complex mixtures. FTIR is useful for identifying chemicals that are either organic or inorganic. It can be utilized to quantitative compounds of unknown mixture. It can be applied to the 5

analysis of solids, liquids and gases. It can be used to identify the types of chemical bonds (functional groups). The wavelength of light absorbed is characteristic of the chemical bond as can be seen in the spectrum. Infrared spectroscopy reveals information about the vibrational states of a molecule. Intensity and spectral position of IR absorption allow the identification of structural elements of molecule. Among them are typical functional groups, hydrogen bonding, but also determination of conformations or even investigation of chemical reactions. Typical vibrations of functional groups make infrared spectroscopy also an important analytical tool. In the gas phase a rotational fine structure can often be observed from which the moment of inertia (M.I.) of the molecules can be determined. Infrared spectroscopy is widely used in both research and industry as a simple and reliable technique for measurement, quality control and dynamic measurement. This technique is used in forensic analysis in both criminal and civil cases. By measuring at a specific frequency over time, changes in the character or quantity of a particular bond can be measured. The functional groups within the sample will absorb the infrared radiation and vibrate in one of a number of ways, either stretching,

bending,

deformation

or

combination

vibrations

[4,

5].

These

absorptions/vibrations can be correlated directly to biochemical species. The resultant infrared absorption spectrum can be described as an infrared “finger print” property of any biochemical or chemical substance. Researchers have concentrated on the mid IR port of the electromagnetic spectrum (4000 cm-1 – 600 cm-1) for the diagnosis of complex body disorders. In the biological terminology, the vibrations in the wave number region 2800 cm-1 – 3050 cm-1 can be ascribed to CH2 and CH3, stretching vibrations from fatty acids. Vibrations in the region 1500 cm-1 – 1750 cm-1 are ascribed to C=O, OOH and C-N from proteins and peptides [6]. This region is called amide I and II bands region. The region 4000 cm-1 – 400 cm-1 is very interesting region called mid-infrared region of the spectrum for the study of the organic compounds because the absorption bands are due to the vibration of a particular functional grouping. The mid-infrared spectroscopy has been used for the structural identification or quantitative determination of the finger print of the organic compounds. Their functional groups display characteristic vibrational absorption frequencies in the infrared region of electromagnetic spectrum. 6

The exact location of the corresponding bands depends on the influence of the rest of molecules. Mid-infrared region is very useful and reliable in quantitative analysis applications. The intensities of the bands in the spectrum are proportional to the concentration of their respective functional groups Lambert-Beer’s law shows I = I 0 eε bc I = A = ε bc I0 where, I 0 = Incident radiation; I = Transmitted radiation A is the absorption of the band b is the path length

ε is the molar proportionality constant called molar absorptivity. It is the characteristic of each functional group. c is the concentration of the functional group. Lipid study is a subject that may strongly profit from FTIR, because they are composed of functional groups showing characteristic absorption bands in this region of electromagnetic spectrum [7]. FTIR spectroscopy requires only small amounts of proteins (1 mM) in a variety of environments. High quality spectra can be recorded relatively easily without the problem of background fluorescence, light scattering and problems related to size of the proteins. By the application of mathematical approach, water absorption may be subtracted. The peptide group, the structural repeat unit of proteins gives characteristic bands of nine types. These are amide A, amide B, amide I, amide II, amide III, amide IV, amide V, amide VI, amide A band (about 3500 cm -1) and amide B (about 3100 cm-1) originate from a Fermi resonance between the first overtone of amide II and the N-H stretching vibration. Amide I and amide II bands are two major bands of the protein infrared spectrum. The amide I band (between 1600 cm-1 and 1700 cm-1) is associated with the C=O stretching vibration (70-85%). Due to this fascinating property this is directly related to the backbone conformation. 7

Amide II band results from the N-H bending vibration (40-60%) and from the C-N stretching vibration (18-40%). This band is conformationally sensitive. Amide III and amide IV are very complex bands resulting from a mixture of several coordinate displacements. The out of plane motions are found in amide V and VI bands. Amide A is with more than 95% due to the N-H stretching vibration. This mode of vibration does not depend on the backbone conformation but is very sensitive to the strength of a hydrogen bond. It has wave numbers between 3225 cm-1 and 3280 cm-1 for hydrogen bond lengths between 2.69 to 2.85 Å [10]. Amide I is the most intense absorption band in proteins. It is governed by the stretching vibrations of the C=O (70-85%) and C-N groups (10-20%). Its frequency is found in the range between 1600 cm-1 – 1700 cm-1. The exact band position is determined by the backbone conformation and the hydrogen bonding pattern. Amide II is found in the region between 1510 cm -1 to 1580 cm-1. This region is more complex than amide I. Amide II derives mainly from in-place N-H bending (4060% of potential energy). The rest of the potential energy arises from the C-N (1840%) and the C-C (about 10%) stretching vibrations. Amide III, V are very complex bands dependent on the details of the force field, nature of the side chains and hydrogen bonding. We may use these bonds for the limited use in the structural information. The rapidity and reproducibility of FTIR can not be overstressed and due to its holistic nature, this technique has been recognized as a valuable tool for metabolic fingerprinting. Some of the researchers [11, 12] have reported in the literature carbohydrates, amino acids, fatty acids, lipids, proteins and polysaccharides can be analysed simultaneously. FTIR spectroscopy is a vibrational spectroscopic technique that can be used to optically probe the molecular changes associated with diseased samples [13, 14, 15]. FTIR mainly deals with non-aqueous samples. The physical effect of infrared is created by absorption and mainly influences the dipole and ionic bonds such as O-H, N-H and C=O. FTIR spectroscopy is due to changes in dipole moment during molecular vibration. Brief Summary of Experimental Research A wide range of biological studies have been covered by FTIR analysis. 8

These studies include cervix [16-24], lungs [20-27], breast [28, 29, 32], skin [33-37], gastro-intestinal tissue [38-41], brain [42-44], oral tissue [45], lymphoid tissue [46], lymphocytes (childhood leukemia) [47], non Hodgkin’s lymphoma [48], prostate [49, 50], colon [51-54], fibroblasts [55], bacteria [56, 57], tumor cells [58], DNA [59], anti-cancer drug [60], tissue processing [61], cancer detection [62], tissue preservation [64], cytotoxicity and heating [64], plant tissue [65], gall stones [66], glucose measurement [67] and bones [68]. Wood et al. [16] has reported on FTIR spectroscopy as a biodiagnostic tool for cervical cancer. The spectra of the normal epithelial cells provide intense glycogen bands at 1022 cm-1 and 1150 cm-1. A pronounced symmetric phosphate stretch was also found at 1078 cm-1. Dysplastic or malignant transformations were pronounced symmetric and asymmetric phosphate modes and a reduction in the glycogen bond intensity. The potential of automated FTIR cervical screening technology in the clinical environment has been demonstrated from the study of Wood et al. [16]. Chao et al. [42] applied infrared spectra of human central nervous system tissue for diagnosis of Alzheimer’s disease (AD). Jalkanen et al. [59] used vibration spectroscopy to study protein and DNA structure, hydration and binding of biomolecules, as experimental approach. Sahu and Mordechai [62] studied FTIR spectroscopy in a cancer detection. The area of focus were the distinction of premalignant and malignant cells and tissues from their normal state using specific parameters obtained from the spectra. Lucassen et al. [35] and Barry et al. [37] used FTIR spectoscopy to measure hydration of the stratum corneum. The determination of the hydration state of the skin can provide the basic knowledge about the penetration and loss of water in the skin stratum corneum. Yoshida et al. [44] measured the FTIR spectra of brain microsomal membranes prepared from rats fed under two dietary oil conditions with and without brightnessdiscrimination learning tasks : one group fed α -linolenate deficient oil and the other group fed the perilla oil. Mossoba et al. [56] made an investigation on printing microarrays of bacteria for identification by infrared microscopy. Jalkanen et al. [59] used vibrational spectroscopy to study protein and DNA structure, hydration, and binding of biomolecules, as a combined theoretical and 9

experimental approach. Amino acids, peptides and a variety of small molecules were studied systematically. It is believed that accurate peak definitions can have significant influence on reliability of the results provided through different spectroscopic techniques. The review of the literature indicate that most of the scientists have mainly used the previously published research articles in order to define the data acquired from the spectra collected. In biological studies, for instance, where a wide range of chemical bonds and functional groups can be attributed to every single peak, finding appropriate meanings, which can demonstrate the clinical importance of the technique and achieved results, can be one of the most important steps in finalizing a spectroscopic research work. The technique of FTIR spectroscopy has become a technique of choice for scientists interested in finding the chemical structural properties of natural and synthetic tissues. David and Royston have studied metabolic fingerprinting in disease diagnosis : biomedical applications of infrared and Raman spectroscopy [13]. Eysel et al. [69] demonstrated the ability to determine a number of differences in synovial fluids resulting from disease processes and moreover, associated specific subregions of the infrared spectra with significant discriminatory power. CH x stretching vibrations were dominated in 3500-2800 cm-1 range. FTIR spectra of synovial fluids could be used as a diagnostic aid for arthiritic disorders [69, 70, 71]. Infrared spectroscopy is generally used to generate holistic measurements of biological samples, followed by some multivariate analysis. Thus, spectroscopy can be used to detect specific chemicals. Hyalurenic acid can be measured by the method of spectroscopy. This acid leaks from the joint’s synovial fluid in osteoarthritis [69]. FTIR has been used for the examination of bacteria to the subspecies level [72], differentiation of clinically relevant species [73]. Under the strategies of analysis of multivariate, FTIR has considerable potential as a metabolic fingerprinting tool for the detection and diagnosis of disease or dysfunction. Diem et al. [74] have reported that the significant number of studies have 10

been done so far on tissues, cell and biofluids in an emergent area of research termed as infrared pathology. Goodacre et al. [75] have referred the use of this sophisticated technique as metabolic finger printing. Several researchers have used FTIR to detect scrapie and BSE in serum [76, 7780]. Kneipp et al. [77, 78] have used FTIR technique to detect disease associated molecular changes in Central Nervous System (CNS) tissue acquired from case and control hamsters. Complex histological and molecular differences occur in TSFaffected nervous tissue, such as changes in protein expression, alterations in gene expression, and composition of membrane systems [78]. We can detect the changes in multiple biomolecules by using FTIR technique. Petibois et al. [81-86] have used this technique and studied the metabolic profiling of athletes. They have used serum, blood and plasma for FTIR spectroscopy. The toxicity of drug can be measured with the help of FTIR. Narasimhan et al. have studied the diagnosis of renal stones with underlying metabolic abnormalities using FTIR spectroscopy in children [87]. They found that this tool of spectroscopy gave a clue to the nature of stones. Le et al. [88] have studied this spectroscopic technique for the diagnosis of gastric inflammation and malignancy in endoscopic biopsies based on Fourier Transform Infrared Spectroscopy. They found that in the endoscopic biopsies, the majority of spectral peaks were in the 1000 cm-1 to 1800 cm-1 region. These spectral features were related to the changes in structure and composition of biological molecules such as proteins, nucleic acids and fats. Graham et al. [89] have studied the use of infrared spectrophotometry for measuring body water spaces. They have determined the enrichments of the body fluids from FTIR spectra in the range 1800 cm-1 – 2800 cm-1. This improved infrared method for measuring deuterium enrichment in plasma and saliva requires no sample preparation, is rapid, and has potential value to the clinician. Melmiciuc et al. [90] have studied FTIR spectroscopy for the analysis of vegetable tanned ancient leather. They found that the IR spectra of the leather extract contains in addition to a series of bands that are common to those found for the oak extract. 11

Hameed et al. [91] have studied the applications of FTIR spectroscopy in the determination of antioxidant efficacy in sunflower oil and reported that an atmospheric oxygen can react spontaneously with lipids and other organic compounds causing structural degradation, which is ultimately responsible for the loss of quality in several chemical or natural products of industrial importance. We can prevent or retard this phenomenon by the addition of synthetic or natural antioxidants. FTIR spectroscopic technique has been used for the evaluation of antioxidant activity in sunflower oil. They have also found that the intensity of the hydroperoxide absorption band in the infrared spectra was increased proportionally with the increase of hydroperoxide concentration. The activity of an antioxidant can be assessed by calculating its ability to inhibit hydroperoxide formation. Bruchard et al. [92] have studied formation of insulin amyloid fibrils followed by FTIR simultaneously with CD and electron microscopy. They have observed changes in the shape and the frequency of the amide I band as a function of time. The amide I band was very sharp and located at 1,651 cm-1. The shape and position of the band are consistent with the presence of largely helical or disordered structure studied by Klimon and Bandeko [10], Arrondo et al. [93], Vecchio et al. [94]. FTIR results were in good agreement and indicative of the partial unfolding of the protein. They have also suggested that the short structure in the insulin fibrils could be predominantly parallel rather than antiparallel on the molecular level. FTIR findings show that insulin prior to heat treatment has substantially native like α -helical characteristics. Movasoghi et al. [95] have reviewed the literature and supplied the relevant information regarding the peak position intensities and frequencies of the bands which are useful in the field of research and industries globally. Jackson and Mantsch [96] have studied the use and misuse of FTIR spectroscopy in the determination of protein structure. This technique can be used as a tool for the structural characterization of proteins. Many researchers such as Elliot and Ambrose [97], Ambrose and Elliot [98] and Elliot [99] demonstrated that the IR spectroscopy can supply the information regarding secondary structure of proteins. They showed that an empirical correlation holds between the frequency of amide I and amide II absorption of a protein. Most of the research scientists have found that the amide I absorption is more useful for the determination of secondary structure of the protein. 12

Devbeshko et al. [58] have studied FTIR reflectance study on surface enhanced IR absorption of nucleic acids from tumor cells. Studies revealed some possible peculiarities of their structural organization, such as the appearance of unusual sugar and base conformations, modification of the phosphate backbone, and redistribution of the H-band net. Rumana et al. [100] have studied Fourier transform infrared spectroscopy to distinguish wood of trees from different growth habitats for wood certification. Crow and Mantesch [101] have studied vibrational biospectroscopy from plants to animals to human. They have given a historical aspects of FTIR in different living plants and humans and animals. CHIEF PURPOSE AND GOAL OF THE PURPOSE The chief goal of our project is to interpret the experimentally measured vibrational spectra for the molecules to the greatest extent possible and to understand the structure, function and electronic properties of these molecules in their various environments. It is also believed that the application of different spectroscopic techniques to biophysical and environmental assays is expanding day by day, and therefore a true understanding of the phenomenon from rigorous theoretical and experimental verification is also required. In biological studies, where a wide range of chemical bands and functional groups can be attributed to every single peak, finding appropriate meanings, which can demonstrate the clinical importance of the technique and achieved the results, can be one of the greatest importance of the steps in finalizing a spectroscopic research work. As a result, and with the goal of putting these shortage aside, we would like to carry our work on this sophisticated FTIR technique. However, it would be very useful to have further and continuous review of this field to improve the work of Fourier transform infrared spectroscopy on regular basis and to keep it updated to prepare an experimental database that can be used for different researchers in the areas related to biomaterial, science, chemistry, geology, plants and tissue engineering. We wish to carry our work on Fourier Transform Infrared Spectroscopy because various chain conformations of polypeptides and proteins yield different types of absorption spectra. The significant difference in the absorption spectra may give a lot 13

of valuable information. The correlations can be applied for explaining the chain conformations of a number of polypeptides or proteins by FTIR.

14

REFERENCES [1]

Naumann, D. (1984). Some ultrastructural information on intact, living bacterial cells and related cell-wall fragments as given by FTIR. 24, No. 2-3, 233-38.

[2]

Naumann, D., Fijala, V., Labichinski, H. and Giesbrecht, P. (1988). The rapid differentiation and identification of pathogenic bacteria using Fourier transform infrared spectroscopic and multivariate statistical analysis. J. M. Struct., 174, 165-170.

[3]

Mishra, S., Kumar, S., Bajaj, M. M. and Kumar, R. (1989). Studies on the Nociceptive networks affiliated with bacterial mycobacterial and neurological disorders. In : Current Trends in Pain Research and Therapy, Pain Sensitivity and Management of Pain Syndromes, Vol. V, K. N. Sharma, U. Nayak, N. Bhattacharya [eds.] ISPRAT, New Delhi, 157-166.

[4]

Stuart, B. (1997). Biological Applications of Infrared Spectroscopy. John Wiley & Sons, Chichester.

[5]

Schmit, J. and Flemming, H. C. (1998). FTIR spectroscopy in microbial and material analysis, Int. Bideterior. Biograd., 41, 1-11.

[6]

Ellis, D. I., Harrigan, G. G. and Goodcare, R. (2003). In Metabolic profiling : Its role in biomarker discovery and gene function analyst, ed. Goodcare, R. and Harrigan, G. G., Kluwer Academic, Boston, 111-124.

[7]

Chapman, D. (1965). Infrared spectroscopy of lipids, J. Am. Oil. Chem. Soc., 42, 353-371.

[8]

Fischmeister, I. (1975). Progress in the chemistry of fats and other lipids, Pergamon, Oxford, U.K.

[9]

Chapman, D. and Goöi, F. (1994). The Lipid Handbook, eds. Gunstone, F. D., Harwood, J. L. and Padly, F. B., Chapman and Hall, London, U.K., 487-504.

[10]

Krimm, S. and Bandekar, J. (1986). Vibrational spectroscopy and conformation of peptides, polypeptides and proteins. Adv. Protein Chem., 38, 181-364.

[11]

Kaderbhai, N. N., Broadhrt, D. I., Ellis, D. I., Goodacre, R. and Kell, D. B. (2003). Functional genomics via metabolic footprinting : monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FTIR and direct injection electrospray mass spectroscopy. 15

[12]

Harrigan, G. G., Laplante, R. H., Cosma, G. N., Lockerell, G., Goodacre, R., Maddox, J. F., Luyendyk, J. P., Ganey, P. E. and Roth, R. A. (2004). Application of high-throughput Fourier transform infrared spectroscopy in toxicology studies : contribution to a study on the development of an animal model for idio syneratic toxicity, Toxicol Lett., 146(3), 197-205.

[13]

Ellis, D.I. and Goodacre, R. (2006) Metabolic fingerprinting in disease diagnosis: biomedical applications of infrared and Raman spectroscopy. Analyst, 131: 875–885.

[14]

Choo-Smith, L.P., Maquelin, K., van Vreeswijk, T., Bruining, H.A., Puppels, G.J., Ngo Thi, N.A., Kirschner, C., Naumann, D., Ami, D., Villa, A.M., Orsini, F., Doglia, S.M., Lamfarraj, H., Sockalingum, G.D., Manfait, M., Allouch, P., and Endtz, H.P. (2001) Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy. Applied Environmental Microbiology, 67(4): 1461– 1469.

[15]

Kidder, L.H., Colarusso, P., Stewart, S.A., Levin, I.W., Appel, N.M., Lester, D.S., Pentchev, P.G., and Lewis, E.N. (1999) Infrared spectroscopic imaging of the biochemical modifications induced in the cerebellum of the Niemann–Pick type C mouse. Journal of Biomedical Optics, 4 (1): 7–13.

[16]

Wood, B.R., Quinn, M.A., Burden, F.R., and McNaughton, D. (1996) An investigation into FT-IR spectroscopy as a bio-diagnostic tool for cervical cancer. Biospectroscopy, 2: 143–153.

[17]

Chiriboga, L., Xie, P., Yee, H., Vigorita, V., Zarou, D., Zakim, D., and Diem, M. (1998) Infrared spectroscopy of human tissue. I. Differentiation and maturation of epithelial cells in the human cervix. Biospectroscopy, 4: 47–53.

[18]

Wood, B.R., Quinn, M.A., Tait, B., Ashdown, M., Hislop, T., Romeo, M., and McNaughton, D. (1998) FTIR microspectroscopic study of cell types and potential confounding variables in screening for cervical malignancies. Biospectroscopy, 4: 75–91.

[19]

Sindhuphak, R., Issaravanich, S., Udomprasertgul, V., Srisookho, P., Warakamin, S., Sindhuphak, S., Boonbundarlchai, R., and Dusitsin, N. (2003) A new approach for the detection of cervical cancer in Thai women. Gynecologic Oncology, 90: 10–14. 16

[20]

Mordechai, S., Sahu, R.K., Hammody, Z., Mark, S., Kantarovich, K., Guterman, H., Podshyvalov, J., Goldstein, J., and Argov, S. (2004) Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma. Journal of Microscopy, 215 (1): 86–91.

[21]

Chiriboga, L., Xie, P., Vigorita, V., Zarou, D., Zakin, D., and Diem, M. (1998) Infrared spectroscopy of human tissue. II. A comparative study of spectra of biopsies of cervical squamous epithelium and of exfoliated cervical cells. Biospectroscopy, 4: 55–59.

[22]

Wong, P.T.T., Lacelle, S., Fung, M.F.K., Senterman, M., and Mikhael, N.Z. (1995) Characterization of exfoliated cells and tissues from human endocervix and ectocervix by FTIR and ATR/FTIR spectroscopy. Biospectroscopy, 1(5): 357–364.

[23]

Fung, M.F.K., Senterman, M.K., Mikhael, N.Z., Lacelle, S., and Wong, P.T.T. (1996) Pressure-tuning fourier transform infrared spectroscopic study of carcinogenesis in human endometrium. Biospectroscopy, 2: 155–165.

[24]

Utzinger, U.R.S., Heintzelman, D.L., Mahadevan-Jansen, A., Malpica, A., Follen, M., and Richards-Kortum, R. (2001) Near-infrared Raman spectroscopy for in vivo detection of cervical precancers. Applied Spectroscopy, 55 (8): 955– 959.

[25]

Wang, H.P., Wang, H.-C., and Huang, Y.-J. (1997) Microscopic FTIR studies of lung cancer cells in pleural fluid. Science of the Total Environment, 204: 283–287.

[26]

Yano, K., Ohoshima, S., Grotou, Y., Kumaido, K., Moriguchi, T., and Katayama, H. (2000) Direct measurement of human lung cancerous and noncancerous tissues by Fourier transform infrared microscopy: can an infrared microscope be used as a clinical tool? Analytical Biochemistry, 287: 218–225.

[27]

Yang, Y., Sule-Suso, J., Sockalingum, G.D., Kegelaer, G., Manfait, M., and El Haj, A.J. (2005) Study of tumor cell invasion by Fourier transform infrared microspectroscopy. Biopolymers, 78: 311–317.

[28]

Fabian, H., Jackson, M., Murphy, L., Watson, P.H., Fichtner, I., and Mantsch, H.H. (1995) A comparative infrared spectroscopic study of human breast tumors and breast tumor cell xenografts. Biospectroscopy, 1 (1): 37–45. 17

[29]

Eckel, R., Huo, H., Guan, H.-W., Hu, X., Che, X., and Huang, W.-D. (2001) Characteristic infrared spectroscopic patterns in the protein bands of human breast cancer tissue. Vibrational Spectroscopy, 27: 165–173.

[30]

Kline, N.J. and Treado, P.J. (1997) Raman chemical imaging of breast tissue. Journal of Raman Spectroscopy, 28: 119–124.

[31]

Shafer-Peltier, K.E., Haka, A.S., Fitzmaurice, M., Crowe, J., Dasar, R.R., and Feld, M.S. (2002) Raman microspectroscopic model of human breast tissue: implications for breast cancer diagnosis in vivo. Journal of Raman Spectroscopy, 33: 552–563.

[32]

Frank, C.J., McCreecy, R.L., and Redd, D.C.B. (1995) Raman spectroscopy of normal and diseased human breast tissues. Analytical Chemistry, 67: 777–783.

[33]

Sukuta, S. and Bruch, R. (1999) Factor analysis of cancer Fourier transform infrared evanescent wave fiberoptical (FTIR-FEW) spectra. Lasers in Surgery and Medicine, 24: 382–388.

[34]

Wong, P.T.T., Goldstein, S.M., Grekin, R.C., Godwin, T.A., Pivik, C., and Rigas, B. Distinct infrared spectroscopic patterns of human basal cell carcinoma. Cancer Research, 53 (4): 762–765.

[35]

Lucassen, G.W., Van Veen, G.N., and Jansen, J.A. (1998) Band analysis of hydrated human skin stratum corneum attenuated total reflectance Fourier transform infrared spectra in vivo. Journal of Biomedical Optics, 3: 267–280.

[36]

McIntosh, L.M., Jackson, M., Mantsch, H.H., Stranc, M.F., Pilavdzic, D., and Crowson, A.N. (1999) Infrared spectra of basal cell carcinomas are distinct from

non-tumor-bearing

skin

components.

Journal

of

Investigative

Dermatology, 112: 951–956. [37]

Barry, B.W., Edwards, H.G.M., and Williams, A.C. (1992) Fourier transform Raman and infrared vibrational study of human skin: assignment of spectral bands. Journal of Raman Spectroscopy, 23: 641–645.

[38]

Fujioka, N., Morimoto, Y., Arai, T., and Kikuchi, M. (2004) Discrimination between normal and malignant human gastric tissues by Fourier transform infrared spectroscopy. Cancer Detection & Prevention, 28: 32–36.

[39]

Weng, S.F., Ling, X.F., Song, Y.Y., Xu, Y.Z., Li, W.H., Zhang, X., Yang, L., Sun, W., Zhou, X., and Wu, J. (2000) FT-IR fiber optics and FT-Raman 18

spectroscopic studies for the diagnosis of cancer. American Clinical Laboratory, 19 (7): 20. [40]

Mordechai, S., Salman, A.O., Argov, S., Cohen, B., Erukhimovitch, V., Goldstein, J., Chaims, O., and Hammody, Z. (2000) Fourier-transform infrared spectroscopy of human cancerous and normal intestine. Proceedings of the SPIE, 3918: 66–77.

[41]

Li, Q.B., Sun, X.J., Xu, Y.Z., Yang, L.M., Zhang, Y.F., Weng, S.F., Shi, J.S., and Wu, J.G. (2005) Diagnosis of gastric inflammation and malignancy in endoscopic biopsies based on Fourier transform infrared spectroscopy. Clinical Chemistry, 51 (2): 346–350.

[42]

Choo, L.-P., Mansfield, J.R., Pizzi, N., et al. (1995) Infrared spectra of human central nervous system tissue: Diagnosis of Alzheimer’s disease by multivariate analyses. Biospectroscopy, 1 (2): 141–148.

[43]

Dovbeshko, G.I., Gridina, N.Y., Kruglova, E.B., and Pashchuk, O.P. (1997) FTIR spectroscopy studies of nucleic acid damage. Talanta, 53: 233–246.

[44]

Yoshida, S., Miyazaki, M., Sakai, K., Takeshita, M., Yuasa, S., Sato, A., Kobayashi, T., Watanabe, S., and Okuyama, H. (1997) Fourier transform infrared spectroscopic analysis of rat brain microsomal membranes modified by dietary fatty acids: possible correlation with altered learning behavior. Biospectroscopy, 3 (4): 281–290.

[45]

Fukuyama, Y., Yoshida, S., Yanagisawa, S., and Shimizu, M. (1999) A study on the differences between oral squamous cell carcinomas and normal oral mucosas

measured

by

Fourier

transform

infrared

spectroscopy.

Biospectroscopy, 5: 117–126. [46]

Andrus, P.G.L. and Strickland, R.D. (1998) Cancer grading by Fourier transform infrared spectroscopy. Biospectroscopy, 4: 37–46.

[47]

Mordechai, S., Mordechai, J., Ramesh, J., Levi, C., Huleihel, M., Erukhimovitch, V., Moser, A., and Kapelushnik, J. (2001) Application of FTIR microspectroscopy for the follow-up of childhood leukaemia chemotherapy, Proceedings of SPIE Subsurface and Surface Sensing Technologies and Applications III, 4491: 243–250.

[48]

Andrus, P.G. (2006) Cancer monitoring by FTIR spectroscopy. Technology in Cancer Research and Treatment, 5 (2): 157–167. 19

[49]

Gazi, E., Dwyer, J., Gardner, P., Ghanbari-Siakhani, A., Wde, A.P., Lockyer, N.P., Vickerman, J.C., Clarke, N.W., Shanks, J.H., Scott, L.J., Hart, C.A., and Brown,

M.

(2003)

Applications

of

Fourier

transform

infrared

microspectroscopy in studies of benign prostate and prostate cancer. A pilot study. Journal of Pathology, 201: 99–108. [50]

Paluszkiewicz, C. and Kwiatek, W.M. (2001) Analysis of human cancer prostate tissues using FTIR microscopy and SXIXE techniques. Journal of Molecular Structure : 565–566, 329–334.

[51]

Argov, S., Sahu, R.K., Bernshtain, E., Salam, A., Shohat, G., Zelig, U., and Mordechai, S. (2004) Inflammatory bowel diseases as an intermediate stage between normal and cancer: a FTIR-microspectroscopy approach. Biopolymers, 75: 384–392.

[52]

Richter, T., Steiner, G., Abu-Id, M.H., Salzer, R., Gergmann, R., Rodig, H., and Johannsen, B. (2002) Identification of tumor tissue by FTIR spectroscopy in combination with positron emission tomography. Vibrational Spectroscopy, 28: 103–110.

[53]

Rigas, B., Morgello, S., Goldman, I.S., and Wong, P.T.T. (1999) Human colorectal cancers display abnormal Fourier-transform infrared spectra, Proceedings of the National Academy of Sciences USA, 87: 8140–8144.

[54]

Rigas, B. and Wong, P.T.T. (1992) Human colon adenocarcinoma cell lines display infrared spectroscopic features of malignant colon tissues. Cancer Research, 52: 84–88.

[55]

Huleihel, M., Salman, A., Erukhimovich, V., Ramesh, J., Hammody, Z., and Mordechai, S. (2002) Novel optical method for study of viral carcinogenesis in vitro. Journal of Biochemical and Biophysical Methods, 50: 111–121.

[56]

Mossoba, M.M., Al-Khaldi, S.F., Kirkwood, J., Fry, F.S., Sedman, J., and Ismail, A.A. (2005) Printing microarrays of bacteria for identification by infrared microspectroscopy. Vibrational Spectroscopy, 38: 229–235.

[57]

Naumann, D. (1998) Infrared and NIR Raman spectroscopy in medical microbiology, 3257: 245–257.

[58]

Dovbeshko, G.I., Chegel, V.I., Gridina, N.Y., Repnytska, O.P., Shirshov, Y.M., Tryndiak, V.P., Todor, I.M., and Solyanik, G.I. (2002) Surface enhanced IR 20

absorption of nucleic acids from tumor cells: FTIR reflectance study. Biopolymer (Biospectroscopy), 67: 470–486. [59]

Jalkanen, K.J., Wu¨rtz Ju¨rgensen, V., Claussen, A., Rahim, A., Jensen, G.M., Wade, R.C., Nardi, F., Jung, C., Degtyarenko, I.M., Nieminen, R.M., Herrmann, F., Knapp-Mohammady, M., Niehaus, T.A., Frimand, K., and Suhai, S. (2006) Use of vibrational spectroscopy to study protein and DNA structure, hydration, and binding of biomolecules: A combined theoretical and experimental approach. Journal of Quantum Chemistry, 106: 1160–1198.

[60]

Binoy, J., Abraham, J.P., Joe, I.H., Jayakumar, V.S., Petit, G.R., and Nielsen, O.F. (2004) NIR-FT Raman and FT-IR spectral studies and ab initio calculations of the anti-cancer drug combretastatin-A4. Journal of Raman Spectroscopy, 35: 939–946.

[61]

Faolain, E.O., Hunter, M.B., Byrne, J.M., Kelehan, P., McNamer, M., Byrne, H.J., and Lyng, F.M. (2005) A study examining the effects of tissue processing on human tissue sections using vibrational spectroscopy. Vibrational Spectroscopy, 38: 121–127.

[62]

Sahu, P.K. and Mordechai, S. (2005) Fourier transform infrared spectroscopy in cancer detection. Future Oncology, 1: 635–647.

[63]

Pleshko, N.L., Boskey, A.L., and Mendelsohn, R. (1991) An FT-IR microscopic investigation of the effects of tissue preservation on bone. Calcified Tissue International, 51 (1): 72–77.

[64]

Holman, H.Y.N., Martin, M.C., and McKinney, W.R. (2003) Synchrotronbased FTIR spectromicroscopy: cytotoxicity and heating considerations. Journal of Biological Physics, 29 (2–3): 275–286.

[65]

Budevska, B.O., Sum, S.T., and Jones, T.J. (2003) Application of multivariate curve resolution for analysis of FT-IR microspectroscopic images of in situ plant tissue. Applied Spectroscopy, 57: 124–131.

[66]

Kleiner, O., Ramesh, J., Huleihel, M., Cohen, B., Kantarovich, K., Levi, C., Polyak, B., Marks, R.S., Mordehai, J., Cohen, Z., and Mordechai, S. (2002) A comparative study of gallstones from children and adults using FTIR spectroscopy and fluorescence microscopy. BMC Gastroenterology, 2: 3.

[67]

Tarumi, M., Shimada, M., Murakami, T., Tamura, M., Shimada, M., Arimoto, H., and Yamada, Y. (2003) Simulation study of in vitro glucose measurement 21

by NIR spectroscopy and a method of error reduction. Physics in Medicine and Biology, 48: 2373–2390. [68]

Smith, R. and Rehman, I.U. (1994) Fourier transform Raman spectroscopic studies of human bone. Journal of Material Science; Materials in Medicine, 5 (9&10): 775–778.

[69]

Eysel, H. H., Jackson, M., Nikulin, A., Somorjai, R. L., Thomson, G. T. D. and Mantsch, H. H. (1997). A novel diagnostic test for arthritis, multivariate analysis of infrared spectra of synovial fluid. Biospectroscopy, 3, 161-167.

[70]

Dunn, W. B. and Ellis, D. I. (2005). Metabolomics : Current analytical platforms and methodologies. Trends Anal. Chem., 24 (4), 285-294.

[71]

Dunn, W. B., Bailey, N. J. C. and Johnson, H. E. (2005) : Measuring the metabolome current analytical technologies. Analyst, 130(5), 606-625.

[72]

Naumann,

D.,

Helm,

D.,

Labischinski,

H.

(1991).

Microbiological

characterization by FTIR spectroscopy. Nature, 351, 81-82. [73]

Goodacre, R., Timmins, E. M., Burton, R., Kaderbhai, N., Woodward, A. M., Kell, D. B. and Rooney, P. J. (1998), Microbiology, 144, 1157-1170.

[74]

Diem, M., Boydston-White S. and Chiribaga, L. (1999). Infrared spectroscopy of cells and tissues, shining light onto an unsettled subject. Applied Spectroscopy, 53, 148A-161A.

[75]

Goodacre, R., Vaidyanathan, S., Dunn, W. B., Harrigan, G. G. and Kell, D. B. (2004). Metabolomics by numbers : acquiring and understanding global metabolic data. Trends in Biotechnol., 22(5), 245-252.

[76]

Broadhurst, D., Goodacre, R., Jones, J., Rowland, J. J. and Kell, D. B. (1997). Genetic algorithms as a method for variable selection in multiple linear regression and partial least squares regressive with applications to pyrolysis mass spectroscopy. Anal. Chim. Acta, 348, 71-86.

[77]

Kneipp, J. Lasch, P., Baldauf, E., Beckes, M. and Naumann, D. (2000). Detection of pathological molecular alterations in Scrapie-infected hamsters brain by Fourier Transformed Infrared (FTIR) spectroscopy. Biochim. Biophys. Acta, 1501, 189-199.

[78]

Kneipp, J. Beekes, M., Lasch, P. and Naumann, D. (2002). Molecular charges of preclinical Scrapie can be detected by infrared spectroscopy. J. Neurosci., 22, 2989-2997. 22

[79]

Schmit, J., Beekes, M., Brauser, A., Udelhoven, T., Lasch, P. and Naumann, D. (2002). Identification of Scrapie infection from blood serum by Fourier Transform Infrared Spectroscopy. Anal. Chem., 74, 3865-3868.

[80]

Lasch, P., Schmitt, J., Beekes, M., Udelhoven, T., Eiden, M., Fabian, H., Petrich, W. and Naumann, D. (2003). Anternorten identification of bovine spongiform encephalopathy from serum using infrared spectroscopy. Anal. Chem., 75, 6673-6678.

[81]

Petibois, C., Melin, A. M., Perromat, A., Cazorla, G. and Deleris, G. (2000). Glucose and lactate concentration determination on single microsamples by Fourier Transform Infrared spectroscopy. J. Lab. Clin. Med., 135(2), 210-215.

[82]

Petibois, C., Cazorla, G., Poortmans, J. R. and Deleris, G. (2002). Biochemical aspects of overtraining in enduranes sports : a review. Sports Med., 32(13), 867878.

[83]

Petibois, C., Cazorla, G., Poortmans, J. R. and Deleris, G. (2003). Sports Med., 33, 83-94.

[84]

Petibois, C. and Deleris, G. (2003). Stress induced plasma volume change determining using plasma FTIR. Int. J. Sports. Med., 24, 313-319.

[85]

Petibois, C. and Deleris, G. (2004). Alterations of lipid profile in endurance over-trained subjects. Arch. Med. Res., 35, 532-539.

[86]

Petibois, C. and Deleris, G. (2005). Erythrocyte adaption to oxidative stress in endurance training. Arch. Med. Res., 36, 524-531.

[87]

Narasimhan, K. L., Kaur, B., Suri, D. and Mahajan, J. K. (2009). Diagnosis of renal stones with underlying metabol abnormalities using FTIR spectroscopy in children.

[88]

Li, Q. B., Sun, X. J., Xu, Yi. Z., Yang, L. M., Zhang, Y. F., Weng, S. F., Shi, J. S. and Wu, J. G. (2005). Diagnosis of gastric inflammation and malignancy in endoscopic biopsies based on Fourier Transform Infrared Spectroscopy.

[89]

Jennings, G., Bluck, L., Wright, A. and Elia, M. (1999). The use of infrared spectroscopy photometry for measuring body water spaces. Clinical Chemistry, 45, 1077-1081.

[90]

Melniciuc Puica, N., Pui, A. and Florescu, M. (2006). FTIR spectroscopy for the analysis of vegetable tanned ancient leather. European J. of Science and Theology, 2(4), 49-53. 23

[91]

Hameed, S. F. and Allan, M. A. (2006). Application of FTIR spectroscopy in the determination of antioxidant efficiency in sunflower oil. J. Appl. Sciences Res., 2(1), 27-33.

[92]

Bouchard, M., Zurdo Jesus, Nettleton, E. J., Dobson, C. M. and Robinson, C. V. (2000). Formation of insulin amyloid fibrils followed by FTIR simultaneously with CD and electron microscopy. Protein Science, 9, 1960-1967.

[93]

Arondo, J.L.R., Muga, A., Castresana, J. and Goni, M. (1993). Quantitative studies of the structure of proteins in solution by Fourier Transform Infrared Spectroscopy. Prog. Biophys. Mol. Biol., 59, 23-56.

[94]

Veechio, G., Bossi, A., Pasta, P. S., Carrea, G. (1996). Fourier transformed infrared conformational study of bovine insulin in surfactant solutions. Int. J. Peptide Protein Res. 48, 113-117.

[95]

Movasaghi, Z., rehman, S. and Rehman, I. Ur (2008). Fourier Transform Infrared (FTIR) spectroscopy of biological tissues. Applied Spectroscopy Review, 43(2), 134-179.

[96]

Jackson, M. and Mantsch, H. H. (1995). The use and misuse of FTIR spectroscopy in the determination of protein structure. Critical Review in Biochemistry and Molecular Biology, 30(2), 95-120.

[97]

Elliot, A. and Ambrose, A. (1950). Structure of synthetic polypeptides. Nature, 165, 921-922.

[98]

Ambrose, E. J. and Elliot, A. 91951). Infrared spectroscopic studies of globular protein structure. Proc. R. Soc. London, Ser. A, 208, 75-90.

[99]

Elliot, A. (1954). Infrared spectra of polypeptides with small side chains. Proc. R. Soc. London, Ser. A, 226, 408-421.

[100] Rana, R., Muller, G., Naumann, A. and Polle, A. (2008). FTIR spectroscopy in combination analysis as a tool to distinguish beech (Fagus sylvatic) different sites. Holzforsch Ung, 62 (5), 530. [101] Shaw, R.A. and Mantsch, H.H. (1999) Vibrational biospectroscopy: from plants to animals to humans. A historical perspective. Journal of Molecular Structure, 480–481: 1–13.

24

Related Documents

Project Dst
June 2020 9
Dst
October 2019 35
Dst
May 2020 16
Dst Konser.docx
May 2020 16
Trab Dst
May 2020 21