Open Access
1 March 2007 Suppression of ultrafast supercontinuum generation in a salivary protein
Santhosh Chidangil, A. K. Dharmadhikari, K. Alti, J. A. Dharmadhikari, Deepak Mathur
Author Affiliations +
Abstract
The first studies of the propagation of ultrafast (<45 fs) pulses of intense infrared light through protein media reveal that supercontinuum (white light) generation is severely suppressed in the presence of the protein α-amylase, a potential stress marker in human saliva. The continuum suppression capacity is attributed to the electron scavenging property of the protein.

Propagation of ultrashort, intense, infrared light through matter leads to the visually spectacular phenomenon known as supercontinuum (white light) generation, where the spectrum of transmitted light is considerably broader than that of incident light.1, 2 Another manifestation of propagation effects is the spatio-temporal localization of optical energy that results in formation, within the irradiated media, of bright light streaks known as filaments.3 While the basic physics behind such propagation effects continues to be the subject of intense inquiry, numerous applications have been found, ranging from control of atmospheric lightening to remote sensing and broadband spectroscopy of atmospheric constituents.3, 4 In condensed media, propagation effects present even richer potential, like bulk modification, laser writing, laser-driven microexplosions, modification of refractive index, and microfluidic devices.5, 6, 7 Propagation effects that ensue upon the irradiation of biological material by ultrashort, intense laser light have not been studied and constitute the subject matter of this work. We report the results of studies on propagation of ultrashort (<45fs) light pulses of 820-nm wavelength through biological media. We focus attention on supercontinuum generation in water that contains different concentrations of the protein α -amylase. Our results reveal an as-yet unsuspected facet of white light generation: it appears to be highly susceptible to changes in concentration of this particular protein. Our interest in α -amylase stems from the importance of this enzyme as a potential marker of stress experienced by humans.

There is increasing evidence that physiological and psychological stress induces changes in α -amylase activity in human saliva. A direct relationship between salivary α -amylase and stress markers like catecholamines has been shown.8 This is of importance, as α -amylase is endogenous9 and has little or no chemico-physiological relationship with catecholamines and other stress markers like cortisol; salivary α -amylase may turn out to be an additional, independent parameter in measurements of stress in humans. Microarray experiments have shown that α -amylase production in microbial cultures also enhances with oxidative stress.10 Attempts have been made to develop sensors based on α -amylase activity to quantify stress.11 We note that even in plant systems, early work revealed that although water-induced stress does not significantly change total protein synthesis, it does enhance α -amylase mRNA, indicating that regulation of gene expression might well result from metabolic changes caused by water-induced stress.12

In our experiments on α -amylase and other proteins, supercontinuum generation was by a Ti-sapphire laser (820-nm wavelength pulses, duration <45fs , 1-kHz repetition rate) with incident power 75±5%μJ , corresponding to 600Pcr (critical power for self-focusing in water, Pcr=2.7MW ). A 30-cm lens loosely focused the incident light onto a 1-cm quartz cuvette containing water and α -amylase with typical intensities 1TWcm2 . Spectral characterization of the transmitted light was by an integrating sphere attached to a fiber-optic-coupled spectrometer (wavelength range 200 to 870nm ).13 Commercial salivary α -amylase was obtained from Sigma-Aldrich (Bangalore, India), and pancreatin was from Sisco Research Laboratory (Mumbai, India). We also made measurements in which the enzyme was from humans; concentrations were then determined by measuring enzyme degradation products kinetically using enzyme-catalyzed reactions. We used the well-proven cleavage of 4,6-ethylidene- (G7) –1,4-nitrophenyl-(G1)- , D-maltoheptaoside [ethylidene-protected-substrate (EPS)] by -amylase, and subsequently hydrolyzed all the degradation products to p-nitrophenol with -glucosidase.14 The color intensity of p-nitrophenol, directly proportional to -amylase activity, was photometrically measured with an autoanalyzer (Hitachi 912). Measurements were made on the solutes used in this study to confirm zero absorption at the incident wavelength centered at 820nm .

A typical white light spectrum obtained with triply distilled water (no α -amylase) has two components [Fig. 1a ]: 1. one due to self-phase modulation (SPM) that arises from the Kerr nonlinearity and results in broadening that is essentially symmetric about the incident laser wavelength; and 2. an asymmetric component on the blue side of the spectra, which is attributed to the space-time focusing, self steepening,15 and plasma formation13, 16 that arises from multiphoton-induced (MPI) free electrons. Kandidov 16 have modeled such asymmetric broadening by considering separately the contributions to the refractive index from the Kerr nonlinearity Δnk and the plasma component Δnp : δω(τ)=kz[(Δnk)+(Δnp)]τ , where z denotes the propagation axis, k is the wave number, and τ denotes time. Kolesnik 17 have shown that in water, linear chromatic dispersion plays a major role in suppression of supercontinuum, in addition to MPI and plasma defocusing.

Fig. 1

(a) White light spectrum of pure H2O and H2O + α -amylase. Note the suppression of white light as the protein concentration is increased. For 60-μM concentration, the suppression factors at 500 and 600nm were 3.4 and 3.2, respectively. The incident 820-nm light had a spectral bandwidth of 30nm . (b) White light spectrum obtained when methanol, an electron scavenger, is added to water.

020510_1_044702jbo1.jpg

In addition to asymmetric broadening, Fig. 1a also shows a marked dip at 630nm that is due to an inverse Raman effect,18 wherein upon simultaneous irradiation of a sample by intense monochromatic light of frequency ν0 and an intense continuum, H2O is stimulated to radiate at ν0 and, at the same time, absorb at (ν0+νm) and (ν0νm) , where hνm is the Raman shift. The relatively sharp and distinct dip superimposed on the continuum is due to absorption on the higher frequency side.

Changes in white light spectra occur on the addition of α -amylase [Fig. 1a]. As the enzyme concentration changes (20 to 60μM ), the intensity of spectral broadening markedly decreases at constant incident laser power. This is also reflected in extinction of the inverse Raman dip. With 60-μM α -amylase, the remnant broadening that is observed is almost symmetrical. Plasma effects, one of the causes of spectral asymmetry, are almost totally extinguished, most likely as a result of α -amylase acting as a strong electron scavenger. This action involves dissociative attachment (DA) of MPI-induced electrons, a large cross section (1014cm2) process for low-energy (<5eV) electrons. In terms of a generic molecule ABC, DA may be represented as e+ABC[ABC]A+BC , where the intermediate stage is a short-lived negative ion whose dissociation products are a free radical, BC, and a negative ion A . The role of free radicals, like atomic oxygen, in physiological functions and malfunctions is established and has been cogently reviewed recently.19 In case of water plus α -amylase, as soon as free electrons are generated by MPI, they are rapidly and efficiently scavenged by α -amylase via DA. The negative contribution to n is diminished by quenching of free electrons; a symmetrically broadened spectrum results. The process may also be envisioned in the following terms: on entering the protein sample, the leading part of the incident 820-nm pulse experiences refractive index change due to the Kerr effect that increases with time; frequencies arise that are lower than the incident frequency (the Stokes region). The situation reverses in the trailing part of the pulse: higher frequencies are generated (the anti-Stokes region). The net result is broadening that is symmetric around 820nm . If α -amylase was not scavenging electrons, the MPI-generated electrons would also contribute to spectral broadening; δω would become positive because of the negative contribution to nτ . Broadening would now be asymmetric, with a higher propensity for generation of frequencies higher than 820nm (anti-Stokes broadening).

We checked the veracity of our model by measuring white light spectra obtained by adding methanol, a well-known electron scavenger, to water. The results [Fig. 1b] were identical to those obtained using α -amylase.

Do other proteins display the same properties as α -amylase? We have carried out measurements of white light spectra using water and immunoglobulin (Fig. 2 ), lysine, and arginine. All spectra were found to be identical to that in pure water, including the inverse Raman feature. The spectral modification depicted in Fig. 1a appears to be a special feature of α -amylase and is of relevance to optical sensing of a stress marker. We also made white light measurements on samples in which α -amylase was extracted from human saliva and the pancreas. Unstimulated human saliva contains electrolytes, immunoglobulins, proteins, enzymes, mucins, and nitrogenous products.20 Of the 30 odd enzymes in saliva, amylase is the best known; it catalyzes breakdown of starch.21 S-amylase activities are known to elevate in diverse stress situations.22 The pancreas also secretes amylase in the highest concentration and largest total amount of any human organ.22 Noting the relationship between stress and salivary α -amylase, we made measurements using human-salivary and pancreatic α -amylase samples. Figure 3 shows typical spectra measured using pancreatin (another source of α -amylase); similar observations were made using human salivary α -amylase. Very dramatic morphological change is seen in the spectra, in accord with data shown in Fig. 1a.

Fig. 2

White light spectrum obtained with pure H2O and H2O + immunoglobulin (IG) at an incident laser intensity of 1TWcm2 . For 40-μM concentration, the suppression factor was 2.1 at 500 and 600nm . Similar results were obtained with lysine and arginine.

020510_1_044702jbo2.jpg

Fig. 3

White light spectrum obtained with pure H2O and H2O + pancreatin. The white light suppression factors at 500 and 600nm were 8.3 and 13.3, respectively.

020510_1_044702jbo3.jpg

In summary, we investigated propagation of ultrashort, intense, infrared light pulses through biologically interesting media. Supercontinuum generation that occurs in water (along with an accompanying inverse Raman spectral feature) is severely suppressed in the presence of micromolar concentrations of α -amylase. In our study, we did not find such suppression with other related proteins. It is of interest to note that pioneering work on ultrafast supercontinuum generation in water carried out by Alfano (see Ref. 1 and references therein) revealed a measure of enhancement upon addition of inorganic dopants like Zn2+ and K+ . Studies of supercontinuum generation in protein media might offer new insights into propagation effects in biological media, and provide different vistas for new diagnostics.

References

1. 

The Supercontinuum Laser Source, Springer, New York (1989). Google Scholar

2. 

G. Y. Yang and Y. R. Shen, “Spectral broadening of ultrashort pulses in a nonlinear medium,” Opt. Lett., 9 510 –512 (1984). 0146-9592 Google Scholar

3. 

J. Kasparin, M. Rodriguez, G. Méjean, J. Yu, E. Salmon, H. Wille, R. Bourayou, S. Frey, Y. B. André, A. Mysyrowicz, R. Saurbrey, J. P. Wolf, and L. Wöste, “White-light filaments for atmospheric analysis,” Science, 301 61 –64 (2003). https://doi.org/10.1126/science.1085020 0036-8075 Google Scholar

4. 

M. Rodriguez, R. Sauerbrey, H. Wille, L. Wöste, T. Fujii, Y. B. André, A. Mysyrowicz, L. Klingbeil, K. Rethmeier, W. Kalkner, J. Kasparin, E. Salmon, J. Yu, and J. P. Wolf, “Triggering and guiding megavolt discharges by use of laser-induced ionized filaments,” Opt. Lett., 27 772 –774 (2002). 0146-9592 Google Scholar

5. 

H. Kumagi, S. H. Cho, K. Ishikawa, K. Midorikawa, M. Fujimoto, S. Aoshima, and Y. Tsuchiya, “Observation of the complex propagation of a femtosecond laser pulse in a dispersive transparent bulk material,” J. Opt. Soc. Am. B, 20 597 –602 (2003). 0740-3224 Google Scholar

6. 

E. N. Glenzer and E. Mazur, “Ultrafast-laser driven micro-explosions in transparent materials,” Appl. Phys. Lett., 71 882 –884 (1997). https://doi.org/10.1063/1.119677 0003-6951 Google Scholar

7. 

P. Nandi, G. Jose, C. Jayakrishnan, S. Debbarma, K. Chalapathi, K. Alti, A. K. Dharmadhikari, J. A. Dharmadhikari, and D. Mathur, “Femtosecond laser written channel waveguides in tellurite glass,” Opt. Express, 14 12145 –12150 (2006). https://doi.org/10.1364/OE.14.012145 1094-4087 Google Scholar

8. 

U. M. Nater, R. La Marca, L. Florin, W. Langhans, M. M. Koller, and U. Ehlert, “Stress-induced changes in human salivary alpha-amylase activity – associations with adrenergic activity,” Psychoneuroendocrinology, 31 49 –58 (2006). 0306-4530 Google Scholar

9. 

A. van Stegeren, N. Rohleder, W. Everaerd, and O. T. Wolf, “Salivary alpha amylase as marker for adrenergic activity during stress: effect of betablockade,” Psychoneuroendocrinology, 31 137 –141 (2006). 0306-4530 Google Scholar

10. 

S. Mishra, S. B. Noronha, and G. K. Suraishkumar, “Increase in enzyme productivity by induced oxidative stress in Bacillus subtilis cultures and analysis of its mechanism using microarray data,” Process Biochem. (Oxford, U.K.), 40 1863 –1870 (2005). 1359-5113 Google Scholar

11. 

M. Yamaguchi, M. Kanemaru, T. Kanemori, and Y. Mizuno, “Flow-injection-type biosensor system for salivary amylase activity,” Biosens. Bioelectron., 18 835 –840 (2003). 0956-5663 Google Scholar

12. 

J. V. Jacobsen, A. D. Hanson, and P. C. Chandler, “Water stress enhances expression of an alpha-amylase gene in barley leaves,” Plant Physiol., 80 350 –359 (1986). 0032-0889 Google Scholar

13. 

A. K. Dharmadhikari, F. A. Rajgara, and D. Mathur, “Plasma effects and the modulation of white light spectra in the propagation of ultrashort, high-power laser pulses in barium fluoride,” Appl. Phys. B, 82 575 –583 (2006). https://doi.org/10.1007/s00340-005-2121-x 0946-2171 Google Scholar

14. 

K. Lorentz, “Approved recommendation on IFCC methods for the measurement of catalytic concentration of enzymes Part 9. IFCC method for α-amylase (1,4-αD-glucan 4-glucanohydrolase, EC 3.2.1.1),” Clin. Chem. Lab. Med., 36 185 –203 (1996). 1434-6621 Google Scholar

15. 

A. L. Gaeta, “Catastrophic collapse of ultrashort pulses,” Phys. Rev. Lett., 84 3582 –3585 (2000). https://doi.org/10.1103/PhysRevLett.84.3582 0031-9007 Google Scholar

16. 

V. P. Kandidov, O. G. Kosareva, I. S. Golubtsov, W. Liu, A. Becker, N. Akozbek, C. M. Bowden, and S. L. Chin, “Self-transformation of a powerful femtosecond laser pulse into a white-light laser pulse in bulk optical media (or supercontinuum generation),” Appl. Phys. B, 77 149 –165 (2003). https://doi.org/10.1007/s00340-003-1214-7 0946-2171 Google Scholar

17. 

M. Kolesik, G. Katona, J. V. Moloney, and E. M. Wright, “Physical factors limiting the spectral extent and band gap dependence of supercontinuum generation,” Phys. Rev. Lett., 91 043905 (2003). https://doi.org/10.1103/PhysRevLett.91.043905 0031-9007 Google Scholar

18. 

W. J. Jones and B. P. Stoicheff, “Inverse Raman spectra: Induced absorption at optical frequencies,” Phys. Rev. Lett., 13 657 –659 (1964). https://doi.org/10.1103/PhysRevLett.13.657 0031-9007 Google Scholar

19. 

M. Valko, D. Leibfritz, J. Moncol, M. T. Cronin, M. Mazur, and J. Telser, “Free radicals and antioxidants in normal physiological functions and human diseases,” Int. J. Biochem. Cell Biol., 39 44 –84 (2007). 1357-2725 Google Scholar

20. 

A. M. Contucci, R. Inzitari, S. Agostino, A. Vitali, A. Fiorita, T. Cabras, E. Scarano, and I. Messana, “Statherin levels in saliva of patients with precancerous and cancerous lesions of the oral cavity: a preliminary report,” Oral Dis., 11 95 –100 (2005). 1354-523X Google Scholar

21. 

R. A. Bank, E. H. Hettema, A. V. Amerongen, and J. C. Pronk, “Electrophoretic characterization of posttranslational modifications of human parotid salivary α-amylase,” Electrophoresis, 12 74 –79 (1991). 0173-0835 Google Scholar

22. 

Tietz Textbook of Clinical Chemistry and Molecular Diagnostics, 616 4th ed.Saunders, New York (2005). Google Scholar
©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)
Santhosh Chidangil, A. K. Dharmadhikari, K. Alti, J. A. Dharmadhikari, and Deepak Mathur "Suppression of ultrafast supercontinuum generation in a salivary protein," Journal of Biomedical Optics 12(2), 020510 (1 March 2007). https://doi.org/10.1117/1.2731316
Published: 1 March 2007
Lens.org Logo
CITATIONS
Cited by 18 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Proteins

Supercontinuum generation

Water

Atmospheric propagation

Ultrafast phenomena

Infrared radiation

Plasma

Back to Top