Introduction

The techniques of vibrational spectroscopy (Raman and/or Fourier-transform Infrared (FTIR) spectroscopy) have undergone significant advances in the last decade. The incorporation of microscope attachments to spectrometers has provided the means to acquire spatially resolved molecular fingerprints of cells and of tissue samples [1, 2]. While FTIR microspectroscopy requires that samples be desiccated to remove the contaminating effects of water, Raman spectroscopy provides a platform for the acquisition of such information in living biological samples [35], although alternative experiments may require the preservation, of the sample in order to perform parallel studies such as confocal microscopy or immunohistochemistry [2]. The effects of chemical fixation are not fully characterised in the literature. While notable attempts have been made to analyse these effects in cells using vibrational spectroscopy [610], to our knowledge, no spectroscopic evaluation of spectral variation between fixed and live cells has been performed to date.

Chemical fixation was initially developed in the latter part of the nineteenth century as a means of preserving tissue for microscopic observation, although fixation of tissues has been conducted for millennia [11, 12]. In the post-genomic era, issues surrounding the molecular integrity of biological samples post-chemical fixation have come under scrutiny [1216], particularly in specimens preserved in tissue banks [16]. The most common fixatives are aldehydes (formaldehyde and glutaraldehyde), alcohols (methanol, ethanol), ketones (acetone), and acids (tannic acid, picric acid, etc.). When used individually, these fixatives induce unwanted effects in the chemistry of the biological sample.

For example, formaldehyde (in the form of neutral-buffered formalin (NBF)) breaks hydrogen bonds within large intracellular molecules [12]. It causes the denaturation of intracellular proteins through the formation of cross-links between amine residues [6, 12, 17], generating overall shrinkage of the sample volume [12], and resulting in the loss of integrity of the quaternary, tertiary, and possibly secondary conformation of proteins [18]. It is quite well known that formalin fixes proteins in a time-dependent reaction, which appears to have little effect within 2 h in tissues, but is complete at 24 h [11]. In addition, it reduces the binding specificity of antigens in immunohistochemical staining [19] when applied to the biological specimen for long periods of time and causes a reduction in DNA solubility [12], cleaving the backbone of DNA and RNA [1214, 16] in a slow hydrolysis reaction. It is also known that RNA quality in formalin fixed tissue is quite poor. Other studies [8, 11, 12, 14, 18, 20] have demonstrated that formalin-fixation unstacks DNA bases in adenine–thymine-rich regions [12]. It can also form hydroxyl-methyl groups with nucleic acid bases and hydrolyze N-glycosidic bonds in the base residues to form free purine and pyrimidine groups [12]. There is also evidence that it washes out lipid [15].

Fixation in acetone causes the dehydration of biological specimens, which may render them fragile, and solubilises lipid [18]. Alcohols such as methanol and ethanol have been shown to preserve nucleic acids, but have strongly denaturing effects on protein [18]. Both are employed as mixtures of fixatives in an attempt to overcome the shortcomings of each of the individual fixatives. Ethanol is the main constituent found in Carnoy’s fixative, while methanol may be employed as methacarn (a mixture of chloroform with methanol and glacial acetic acid) or as a methanol–glacial acetic acid mixture (Meth-Ac). Carnoy’s fixative preserves nucleic acids, although fragment size retained with either this fixative or Meth-Ac is different [16].

Previous studies of the effect of chemical fixatives on biological specimens with vibrational spectroscopy have concentrated on evaluating the effect of formalin fixation and paraffin preservation on spectral features of potential diagnostic interest in tissue [7, 8, 2123] and cells, both in a qualitative and quantitative fashion. These studies have concluded that the major effect of formalin fixation is to the lipid and protein structures and content within the cell [6, 9, 10].

In this work, we report the results of experiments comparing Raman spectra from various cell lines in their live form to those from cells fixed using neutral-buffered formalin, Carnoy’s fixative, and a methanol–glacial acetic acid mixture. The cell lines used were a normal human keratinocyte cell line (HaCaT [24, 25]), a normal human bronchial cell line (BEAS2B), and a human adenocarcinoma cell line (A549). The results suggest that that formalin preserves the spectral content closest to that observed in the live state.

Materials and methods

Cell culture and fixation

HaCaT and A549 cells were cultured to 80% confluence in DMEM-F12 (Gibco, Irvine, UK) supplemented with 10% foetal bovine solution (Gibco, Irvine, UK) and 1% pen-strep (Gibco). BEAS2B cells were cultured to similar confluency in RPMI-1540 (Gibco, Irvine, UK) with the same supplements. All cells were within 10–50 passages of the primary cell line.

Cells were cultured on quartz substrates, which had been previously coated with a 2% w/v gelatin–water solution, whose suitability for Raman spectral analysis has been shown previously (and details of its preparation are available elsewhere) [25]. All samples were prepared in triplicate. Approximately 1 × 106 cells were added to each substrate and incubated for 2 h to affect initial attachment. Subsequently, the cells were incubated in 3 ml complete medium for 24 h at 37°C before analysis.

Samples for analysis in live form were maintained in growth medium until the time of analysis. The growth medium was aspirated from all samples prior to fixation and they were washed several times in distilled water (dH2O) and stored in dH2O after fixation. All samples were analysed within 6–8 h of fixation to minimise any reversal of the fixation process which has previously been seen to occur over weeks of washing with water [26]. Fixation occurred at room temperature and all fixatives were prepared immediately before fixation began. Samples for formalin fixation were fixed in neutral-buffered formalin (Gibco, Irvine, UK) for 10 min. Samples for fixation in Carnoy’s fixative (60% absolute ethanol, 30% chloroform, 10% glacial acetic acid) and Meth-Ac (3:1 mixture) were incubated in the fixative for 5 min. After the first fixation step, samples for Meth-Ac fixation were washed briefly in fresh fixative and then incubated in more fresh fixative for a further 10 min [27].

Spectral acquisition and preprocessing

Spectra were acquired on a Horiba Jobin-Yvon SAS (Villeneuve d’Ascq, France) LabRam instrument equipped with an excitation laser operating at 785 nm delivering a power of approximately 70 mW at the sample. Spectra were acquired in the range from 620 to 1,780 cm−1 using a slit width of 100 μm and a confocal hole diameter of 1,000 μm. A water immersion objective with a magnification of ×100 was used to focus the excitation laser onto the sample, giving a lateral resolution of approximately 1 μm and a vertical resolution of approximately 2 μm. The instrument was calibrated to the 520.7 cm−1 line of silicon, and spectra were subsequently acquired of a neon lamp source (without laser excitation), cyclohexane and 1,4 bis (2-methylstyryl) benzene (with laser excitation) to verify the calibration of the Raman collection optics over the spectral range of acquisition. Spectra of the charge-coupled device (CCD) dark-current background (without laser excitation), the CCD output as a result of illumination with a tungsten–halogen light source (also without laser excitation) were acquired. Finally, spectra of the substrate (gelatin-coated quartz) were recorded. All of these spectra were acquired in triplicate prior to spectral measurement. Samples were placed in glass-bottomed petri dishes and immersed in physiological saline throughout the measurement. All measurements on a live sample were conducted for a maximum period of 1 h.

All subsequent spectral processing and analysis was performed using Matlab 7.2 (The MathWorks Inc., USA). Outlying spectra were removed using Grubb’s test [28] of Mahalanobis distances between the scores of the first three principal components of each spectral dataset. Spectra were corrected for the instrument CCD output (using an acquired spectrum from a blackbody source), and the quartz substrate (which includes both contributions from the quartz background and the water from the physiological saline), and the resulting spectrum was fitted with a fifth-order polynomial that was subtracted to remove any residual spectral baseline.

Multivariate analysis

As part of the analysis of the spectral datasets, it was necessary to employ multivariate methods. Principal components analysis (PCA) and cluster analysis (CA) were the methods employed here. PCA allows the reduction of a matrix of spectral data in which each object (spectrum) is a measurement with a large number of variables (wavenumber) [29] to a smaller number of variables (principal components (PCs)) which describe the majority of the variance in the complete spectral dataset.

CA techniques allow the combination of multivariate measurements into groups, and can analyse group membership in a supervised or non-supervised fashion [30]. These techniques are utilised here to provide quantitative measurements of the dissimilarity between spectra of cells in the live versus fixed forms using clustering of first-derivative spectra. In this work, this technique was used to establish the location of an accurate centroid for each cluster. Cluster analyses were performed for each cell line separately, and also separately for spectral regions incorporating the vibrations of nucleic acid, protein, lipid and carbohydrate within each cell line. Distances between the centroids of the live cell and fixed cell clusters were calculated for each cell line, fixative and spectral region. This allows the examination of the effect of each fixative on each cell line, and on each specific biochemical species.

Results

Raman spectral features and difference spectra

The mean Raman spectra of live A549, BEAS2B and HaCaT cells are shown in Fig. 1. Peak assignments used to interpret the Raman spectra of these cells are taken from multiple peer-reviewed sources [25, 3136]. The spectra of each of the cell lines exhibit strong Amide I (centred at 1,667 cm−1) and Amide III (1,305 to 1,270 cm−1) vibrations, but weak Amide II vibrations (1,565 cm−1). Lipid CH deformations (from 1,480 to 1,420 cm−1) are particularly intense, although some overlap with CH2 and CH3 deformation vibrations in protein also occurs in this region. Strong vibrations are also evident in regions assigned to purine and pyrimidine residues (788–677 cm−1), and aromatics such as phenylalanine ring breathing (1,004 cm−1). Phosphate-stretching modes of DNA and RNA (1,095–1,060 cm−1), and their backbone (928–788 cm−1) are also particularly strong.

Fig. 1
figure 1

Mean spectra of A549, BEAS2B and HaCaT cells in their live state. Spectra are offset manually for visual clarity

The spectra of each of the fixatives are shown in Fig. 2. As a primary examination of the fixation effects in each cell line, the difference spectra between the mean live cell spectra (which act as a reference control for each cell line) and mean cell fixed spectra, for each fixative in each cell line, were computed and are shown in Fig. 3. Spectral vibrations throughout the Raman spectrum have their origin in various molecular species (nucleic acid, protein, lipid) and overlap strongly. The approach adopted here is to firstly identify clear and strong sources of variability that are apparent in the results, and then to identify other sources of variability that support the adjustment seen to this moiety at other points in the spectrum. Thus, the presence of variability in a given moiety (which is overlapped by features from another molecular vibration) is only noted where there are similar adjustments to other vibrations of that moiety.

Fig. 2
figure 2

Spectra of fixatives used in this study. Spectra are manually offset for visual clarity. Molecular structures of each of the component molecules of the fixatives are given to the right of each spectrum; top (L–R) ethanol, chloroform, acetic acid; middle: aqueous formalin (methane-diol); bottom (L–R) methanol, acetic acid; Peak assignments [36]: (a) Carnoy’s fixative, overlap between O-H out of plane deformation and ν C–Cl at 640 cm−1; overlap between CH2 twist, COOH out of plane deformation and ν C–Cl between 853 cm−1 and 885 cm−1; ν CCO at 1,033 cm−1; CH2 deformation at 1,411–1,503 cm−1; ν C═O at 1,715 cm−1; (b) formalin, CH2 twist between 874 cm−1 and 908 cm−1; ν C–O at 1,043 cm−1; O–H deformation at 1,249 cm−1; CH2 deformation at 1,491 cm−1; (c) methanol–glacial acetic acid: O–C–O in-plane deformation at 666 cm−1; C–O deformation (carboxylic acid) at 757 cm−1; Overlap between CH2 twist, O–H out of plane deformation (carboxylic acid) and ν CCO at 881 cm−1; ν CCO at 1,050 cm−1; ν C–O at 1,093 cm−1; in-plane O–H deformation at 1,274 cm−1; CH2 deformation at 1,452 cm−1

Fig. 3
figure 3

Difference spectra of fixed a A549, b BEAS2B and c HaCaT cells fixed in formalin, Meth-Ac, and Carnoy’s fixative. Calculated difference spectra are based on the mean spectra for each class and are the difference between the mean fixed cell spectrum and the mean live cell spectrum for each cell line. The width of each trace denotes the extent of the standard errors for each category. The coloured panel below each figure highlights the assignment of each spectral region with respect to its molecular category and should be used in interpreting the shaded regions in the difference spectra directly above. Regions where overlap occurs between vibrations of different moieties (e.g., CH deformation vibrations from protein and lipid between 1,480 and 1,420 cm−1) contribute to a darkening of the corresponding shaded region

Firstly, a visual examination of the difference spectra in each case demonstrates that they do not contain features associated with the chemical fixatives that are shown in Fig. 2. It is also apparent from the intensity of the difference spectra that the level of fixation effect seen spectrally is cell-line- and fixative-dependent. In the A549 difference spectra (Fig. 3a), decreases in the vibrational intensity of DNA (1,095 cm−1 to 1,060 cm−1; 789–788 cm−1) and RNA (812–811 cm−1) phosphodiester stretches are evident after treatment with each of the fixatives. The vibrations of the DNA B (833 cm−1) and C (870 cm−1) forms and that of the DNA backbone at 929–928 cm−1 are decreased by all fixatives. Osidic bond vibrations (C-O at 1,160–1,100 cm−1) also decrease. In addition, the vibrational intensities of nucleic acid bases (guanine and adenine (1,487–1,486 cm−1; 682–681 cm−1; 670–677 cm−1), thymine (788–782 cm−1; 730–729 cm−1) and cytosine ring breathing (788–782 cm−1, where this overlaps with the same mode in uracil)) are decreased as a result of fixation. The ring-breathing modes of these moieties are also shifted slightly (T-ring breathing shifts from 750 cm−1 to 752, 743 and 753 cm−1; A-ring breathing shifts from 729 cm−1 to 727, 730 and 733 cm−1; G-ring breathing shifts from 681 cm−1 to 688, 690 and 691 cm−1; these occur in each case after treatment with Carnoy’s fixative, formalin and Meth-Ac, respectively). Other carbohydrate vibrations (υ C–O of osidic and υ C–O–C of glycosidic bond from 937–930 cm−1) are also decreased.

In regions assigned to protein, there are decreases of the Amide I (1,688–1,655 cm−1) and Amide III (1,305–1,220 cm−1) vibrational modes together with decreases in vibrations assigned to the deformation of CH bonds (1,451–1,450 cm−1, 1,339–1,305 cm−1, 1,300 cm−1). The peaks in the difference spectra are located in the region from 1,668–1,661 cm−1 in the Amide I band, with those in the Amide III region located in the region from 1,300–1,239 cm−1 suggesting that the fixative-dependent adjustments to the vibrations of protein are mainly to their random chain and α-helical orientations. Other modes assigned to phenylalanine (1,033–1,031; 1,005–1,001 cm−1), tyrosine (1,177–1,776 cm−1; 1,168–1,167 cm−1) and tryptophan (1,424–1,422 cm−1; 761–760 cm−1) residues are also decreased. Slight shifts in the vibrational frequency of some modes of these moieties are also seen after treatment (phenylalanine ring-breathing mode changes from 1,004 cm−1 to 1,001, 1,003 and 1,006 cm−1; tryptophan ring-breathing mode changes from 760 to 761, 763 and 764 cm−1; tyrosine CH-bending vibration changes from 1,176 to 1,175, 1,171 and 1,172 cm−1; these occur in each case after treatment with Carnoy’s fixative, formalin and Meth-Ac, respectively). Overall, these effects suggest adjustments to the quaternary, tertiary and secondary conformation of protein [6].

Lipid vibrations in the region of 715–730 cm−1 (CH2 rocking vibrations [36]), 1,300 cm−1 (CH2 twist), from 1,480 cm−1 to 1,420 cm−1 (CH deformation) and in the 1,740-1,733 cm−1 (C═O stretch) region are decreased in A549 cells after fixation, perhaps suggesting that fixation leaches lipid from within the cell, as noted elsewhere [6, 16] (it must be noted that the CH deformation region also has an overlap with the broad CH deformation vibrations in guanine, adenine, and protein at 1,450 cm−1). In addition, the CH3 symmetric bending vibration (1,405–1,395 cm−1) and ═C-H bending vibrations (1,284–1,220 cm−1) both decrease in intensity after fixation. This implies that although lipid leaching may occur, an adjustment to the permeability of the cellular membrane as a result of fixation is also possible, as seen elsewhere [20, 37].

Very similar effects are seen in the difference spectra of BEAS2B (Fig. 3b) and HaCaT cells (Fig. 3c). However, it is apparent from the intensity of the difference spectra that the level of fixation effect seen after treatment with any given fixative spectrally is cell line dependent. The effects on nucleic acid features are quite similar in both cell lines to those noted for A549 cells, although some important differences exist. The osidic (C–O at 1,160–1,100 cm−1) bond vibrations decrease slightly in intensity in BEAS2B cells after fixation in formalin and Meth-Ac. Of note also is the presence of a peak at 774 cm−1 in the difference spectra of BEAS2B cells fixed in formalin and in HaCaT cells fixed in each of the three fixatives. This is attributable to ring vibrations in α and β-pyranose carbohydrates (785–755 cm−1) [36]. The effects of fixation on protein in HaCaT and BEAS2B cells are very similar to those seen in A549 cells, with decreases to the Amide I, Amide III, CH deformation and residue vibrations as a result of fixation by all fixatives. Peak shifts to certain protein residue vibrations in both cell lines were also seen to occur after treatment with all fixatives (phenylalanine ring-breathing mode changes from 1,004 cm−1 to approximately 993 cm−1 in each cell line; tryptophan ring-breathing mode changes from 760 to between 759 and 746 cm−1). In terms of changes to lipid spectral features, similar spectral adjustments are seen to those previously noted for A549 cells.

Multivariate analysis

An interrogation of the mechanism of fixation in each fixative was performed by conducting separate PCA analyses on the spectra acquired from the live cells together with those from each of its fixed counterparts, for each of the cell lines. It is thus possible to determine the reason for the dissimilarity between the spectral datasets, and gain an insight into the mechanism by which fixation occurs, through examination of the principal component loadings [38]. The PCA loadings in principal components 1 through 3 are displayed in Fig. 4a through c. Loadings on a given principal component describe the extent to which the variables in the analysis (wavenumbers) vary in the same (in the case of variables with positive values) or in the opposite direction (variables with negative values) to the PC [39]. High loadings are therefore interpreted as indicating variables which are of significant influence on the separation of the spectra from each cellular category. Given the overlapping nature of spectral features from different molecular species within various bands of the Raman spectrum of biological cells, caution has been adopted here in interpretation of single peaks within PC loadings. When variations in a single peak in the spectral loadings are seen, suggestive of variability in a certain chemical moiety, they are interpreted only where this variation is accompanied by variability in other modes of vibration of that moiety.

Fig. 4
figure 4

PC loadings in principal components 1 through 3 for fixation with a formalin, b Carnoy’s fixative and c methanol–acetic acid mixture

It is again notable that the PC loadings confirm that there is no latent contribution from the chemical fixatives themselves in the cell spectra since there is an absence of strong positive loadings in the PCs that could be associated with the chemical fixatives (see Fig. 2). In each of the cell lines, evidence of the formalin fixation process on protein are suggested by loadings within Fig. 4a in regions attributable to vibrations of phenylalanine residues (999–1,007 cm−1), phenyl ring stretching and C–H bending vibrations in tyrosine (1,102–1,200 cm−1). Loadings to the overlapping Amide III α-helical and CH deformation vibrational modes in protein (1,345–1,256 cm−1) are also strong. Loadings to CH deformation vibrations in protein, nucleic acid and lipid are also seen at ∼1,450 cm−1 in each cell line. Loadings at 1,669 cm−1 in each cell line are suggestive of adjustments to Amide I random chain and β-sheet conformations. Changes to CH deformation (∼1,453 cm−1, 1,339-1,305 cm−1), ═C–H bend (1,284–1,220 cm−1), C–N, C–C and CO–O–C stretch (∼1,176 cm−1 and 1,170 cm−1) vibrations in lipid are observable throughout the PC loadings, but interestingly loadings to their phosphatidyl moieties are not. Adjustments to nucleic acids are seen as loadings to the A and B forms of DNA (831–804 cm−1), osidic bond stretch (1,200–1,102 cm−1) and in-plane ring vibrations (1,167 cm−1, 1,300 cm−1) and the phosphodiester stretch of the RNA backbone (831–804 cm−1).

Carnoy’s fixative (Fig. 4b) results in spectral loadings to CH deformation (∼1,450 cm−1 and 1,339–1,305 cm−1), Amide I (1,668–1,661 cm−1) and Amide III (1,305–1,247 cm−1) vibrations of protein. Loadings to the vibrational modes of phenylalanine (phenyl ring stretch (∼1,167 cm−1), ring breathing (1,004–1,002 cm−1), CH in-plane bend (1,033–1,031 cm−1)), tryptophan (ring breathing at 760 cm−1), and tyrosine (CH bend (1,176 cm−1)) in protein are observable. Loadings to the overlapping CH deformation modes in lipid (1,447–1,453 cm−1, ∼1,300 cm−1 and ═C–H bend from ∼1,339–1,247 cm−1), to their C–N (1,176 cm−1), C–C (1,176 and 1,065–1,062 cm−1), CO–O–C (1,070 cm−1) and C–O–P (1,045 cm−1) moieties are present. Evidence of the effect of this fixative on nucleic acid is seen in loadings to the vibrations of the DNA backbone (928 and 898–895 cm−1) and the phosphodiester stretching vibrations in DNA (1,095–1,060 and 788 cm−1) and RNA (811 cm−1). There are also loadings to the A, B and C forms of DNA, (840–788 cm−1 and 870 cm−1, respectively) and to the vibrations of the ring-breathing modes of the nucleic acid bases of DNA and RNA (from 788–670 cm−1). Adjustments to osidic moieties in carbohydrate are also suggested by loadings from 1,160 to 1,102 cm−1.

The effects of fixation in Meth-Ac are broadly similar to those resulting from fixation in Carnoy’s fixative by virtue of the position of their PC loadings. Some important differences in the mechanism of Meth-Ac as compared to Carnoy’s fixative are suggested by loadings in Fig. 4c to the phosphate moieties in lipid (1,085–1,084 cm−1) and to the glycosidic bonds in carbohydrate (937–930 cm−1).

Scatter plots of the PC scores are shown in Fig. 5a through c. The percentage labels on each of the axes detail the amount of variance described in that PC, and demonstrate that the first three PC’s describe most of the variance in the spectra. However, the spectral loadings are complex and do not easily allow identification of differences between the fixation mechanism in each cell line as a result of treatment by each fixative. The results of k-means cluster analysis are presented in Table 1. This shows the Euclidean distances between the centroids of the live cell and the fixed cell clusters, subdivided by the spectral region. The position of each centroid has been established by k-means cluster analysis of the spectra in each spectral region for each cell line. This data demonstrates that, overall, formalin preserves each of the major biochemical components of the cell in a form that is closest to that in the live cell. The dependence of fixation mechanism on cell line and fixative is suggested by the superior effectiveness of Meth-Ac in preserving lipid in A549 cells, and in Carnoy’s fixative in preserving protein in BEAS2B cells, although the comparative differences between these fixatives and formalin in both cases is slight [10].

Fig. 5
figure 5

PCA score plot for a A549, b BEAS2B, and c HaCaT Raman spectra. Percentage labels on each axis denote the variance described by that PC. There is clear separation of cellular spectra fixed with Meth-Ac and Carnoy’s fixative relative to live and formalin fixed spectra. A degree of similarity between the spectral content of formalin fixed and live cell spectra is implied by the proximity of their clusters

Table 1 Euclidean distances between the centroid (established by k-means cluster analysis of spectra) of the live cell cluster and fixed cell clusters, isolating features of interest in nucleic acid, protein, lipid and carbohydrate

The data in Table 2 shows the mean Mahalanobis distance between the scores in the first three principal components of the live cell spectra versus the fixed cell spectra, where the PC scores are calculated on the complete spectrum. In general, this demonstrates that cells fixed in formalin correlate best to the live cell spectra. However, there is a variation in overall fixation effect and the within-cluster spectral variance with cell line (with Meth-Ac apparently producing spectra more similar to the live cell than formalin in A549 cells, although with a substantial increase in the within-cluster variance). This effect in the only cancerous cell line used in this study may be due to better fixation of nucleic acid and lipid structures in the cell (which is suggested by the corresponding data in Table 1). Differences in fixation between normal and cancerous tissue have previously been observed spectroscopically [7].

Table 2 Mean Mahalanobis distances between the principal component scores (in the first three PC’s) of the live cell clusters versus its fixed counterparts, with the associated standard deviation in each case

Discussion

The present study is aimed at examining the relationship between live and fixed cell spectra using Raman spectroscopy, as a means of providing insights into the effects of fixatives on the biochemical constituents of the cell. It is thought that the mechanism of fixation of protein by formalin occurs as a result of the formation of cross-linkages between the NH2 terminals of protein amino acid residues and the NH group of a tertiary amide using the methylene glycol component of aqueous formalin [8]. This should contribute to a decrease in the intensity of the Amide I peak in the region of 1,667 cm−1 and the appearance of a peak at 1,490 cm−1 signifying increased formation of the methylene bridge itself [8]. In each of the cell lines studied here, the difference spectra and PC loadings for formalin fixation do exhibit reductions in the intensity of the amide bands, and shifts in the vibrational frequency of residue amino groups of protein. This overall does imply that some denaturation of protein occurs as a result of fixation in formalin, but while methylene bridge formation may occur after fixation in formalin over the time periods that are used with tissue [12], the time periods used for fixation in this study do not appear to produce this effect as the primary means of protein coagulation. This could be due to washing of the cellular samples in dH2O after fixation, which has been shown to reverse the effect of methylene bridging in protein, albeit after significantly longer washing times than employed here [26]. In addition, the coefficient of diffusability of 4% formalin is approximately 1 mm of tissue thickness for each hour of fixation, or approximately 16.6 μm/min [12]. Typically, fixation times in formalin for tissue are of the order of 2 to 24 h, while those for cells are of the order of minutes. Therefore, the fixative can penetrate the whole cell in this time. However, while the penetration time is rapid, the fixation process itself is slow as the formaldehyde must dissociate from methylene glycol (the hydrated form of formalin) in order to form covalent bonds with the molecular components of the sample [11, 12]. In equilibrium, the reaction forming methylene glycol in formalin solutions strongly favours the hydrated form, such that methylene glycol, having penetrated the biological sample, dissociates slowly [11, 12]. Adjustments to the lipid CH deformation, C–N and C–C stretch, and C═O stretch vibrational modes in the difference spectra, and PC loadings which were observed in these regions, suggest that fixation in formalin adjusts the vibrational freedom of membrane lipids, possibly through a reaction of methylene glycol in acqueous formalin with unsaturated hydrocarbon chains [6]. The global effects of each of Carnoy’s fixative and Meth-Ac on the vibrations of protein and lipid appear to be similar to those seen with formalin, although in general the vibrational intensities of protein bands are weaker after treatment with both fixatives (see the difference spectra in Fig. 3).

It has previously been shown that both Carnoy’s fixative and methacarn (which is very similar to the Meth-Ac mixture used in this work) produce quite similar effects on DNA [12], and that DNA and RNA preservation is superior in both fixatives in comparison with formalin [1214]. These fixatives also dehydrate the cell and cause non-specific binding of protein onto the cellular protein architecture, in addition to cleaving the DNA and RNA ribose backbone, although the length of the sequence remaining is larger in these fixatives as compared to formalin [13, 14]. The results of the present study confirm that these effects are observable spectrally, and that their overall effect on nucleic acid is to reduce the intensity of nucleic spectral vibrations generally.

Overall, the k-means cluster analysis employed here suggests that fixation with formalin produces spectra that most closely resemble those of the live cell, for each of the cell lines studied. All of the fixatives produce spectral variability in the major biochemical components of the cell relative to those seen in the live cell, although the level of effect of any fixative is dependent on the cell line. Fixatives that are employed because they have a lesser effect on the integrity of one component or other of the cell for biochemical analyses still cause alterations to the spectral measurements from the cell. This fact must be considered by researchers at the experimental design phase.

Conclusion

This study has examined the effect of chemical fixation on the spectral content of various cell lines in their fixed and live forms. All fixatives were observed to affect the vibrational modes of lipid, protein, nucleic acid and carbohydrate moieties. However, there are differences in the levels of change, and in the molecular species affected. Taking into account the difference spectra and the spectral loadings and the results of k-means cluster analysis, it may be concluded that formalin fixation produces a cellular spectrum that is globally more similar to that of the live cell, and therefore best preserves cellular integrity, out of the fixatives studied. Evidence suggests that Carnoy’s fixative and Meth-Ac affect the spectra of nucleic acid significantly, despite both being recommended in the literature as suitable for the preservation of such species. It must also be noted that changes to the vibrations of carbohydrates occur as a result of fixation with each of the fixatives, and therefore applications of the Raman spectroscopic method to functional analyses of the physiology of cells in vitro that intend to focus on this region of the spectrum should avoid cell fixation where possible and utilise the live cell. The study does however demonstrate the power of vibrational spectroscopy for the detailed characterization of complex cellular processes at a molecular level.