1. Calibration and validation
NOTE: For the pigment calibration, prepare dilution rows from stock solutions of chla and B-PE. The chla stock solution is diluted with acetone and B-PE is diluted with distilled sterile water. Later, 15 mL of each dilution step will be needed. Protect the pigments from light by wrapping them with aluminum foil. Store the chla in a freezer and the B-PE in a refrigerator until further use. A detailed protocol for the dilution row follows in sections 1.1 for chla and 1.2 for B-PE. Both the chla and the B-PE laboratory calibration for pigment detection and quantification with the L.I.F.E. instrument is described below. A previous calibration24 was made with the same pigments as in this study.
Figure 5: Setup for the L.I.F.E. calibration with chla and B-PE under laboratory conditions.
(A) Lens tube of the instrument. (B) Green laser for B-PE excitation. (C) Blue laser for chla excitation. (D) Scintillation vial. (E) Focal point of the L.I.F.E. instrument. (F) B-PE/water or chla/acetone solution with 5 mL, 10 mL, and 15 mL. (G) Spacers that keep the surface of each solution at the focal plane for three different volumes. Please click here to view a larger version of this figure.
2. Sampling and sample processing
Laboratory calibration for B-PE
The response signals of the B-PE dilution row were measured with the L.I.F.E. instrument in a dark room at 20 °C (Figure 6). The count rate depended on both the concentration and the column height of the measured sample. Low concentration and low column height B-PE specimen fluoresced stronger compared to samples of the same concentration and higher column height.
Figure 6: B-PE laboratory calibration. B-PE content and column density calibration is shown. Normalized count rates were calculated for a column height of 1.5 cm. Reprint with permission28. Please click here to view a larger version of this figure.
A Poisson regression was used for the final calibration line fit. There was a linear correlation between the area densities and pixel gray value counts. The function of the curve was y = 81.04x (Figure 7), which means that a gray value count rate of 8,104 in a 1 s exposed sample equaled an area density of 100 ng/cm2 B-PE. The chla calibration is set up in an analogue manner. The function was y = 8.94x.
Figure 7: Final calibration curve for B-PE. The gray value counts were normalized to an exposure time of 1 s and plotted against the area density. Reprint with permission28. Please click here to view a larger version of this figure.
Application on cryoconite samples from Svalbard and laboratory validation of data
The mean values of the L.I.F.E. measurements and the single measurements of the same samples derived from conventional extraction using acetone and subsequent analysis with a spectrophotometer are illustrated in Figure 8.
Figure 8: Data validation with natural samples. The samples (MLB) are ranked by chla content, based on the results of a laboratory spectrophotometer (single values) and compared with the chla fluorescence data measured on four random areas per filter. The error bars represent the standard deviation of the L.I.F.E. measurements. Please click here to view a larger version of this figure.
Chla contents ranging from 48 µg/L–67 µg/L were underestimated, and lower chla contents ranging from 0.7 µg/L–7 µg/L were overestimated by the L.I.F.E. prototype. The standard deviations from the L.I.F.E. measurements were low.
Comparison of spectral data from in situ measurements with laboratory standards
Chla spectra were comparable between cryoconite samples and those from purified from A. nidulans algae. The fluorescence peaks in all samples were located at 700 nm–710 nm. However, spectra derived from cryoconite samples showed higher noise signals between 400 nm–650 nm and from 800 nm–1,000 nm compared to spectra of the chla pigment standard (Figure 9).
Figure 9: Spectral data interpretation. Measurements of four cryoconite granules (blue) and a chla standard pigment solution (red) after excitation with 405 nm lasers. The spectra were recorded 1 year after sample collection. The samples were kept frozen and were not exposed to light prior to the measurement. In response to wavelength calibration issues, the fluorescence peak is located at 700 nm–710 nm instead of 680 nm. Please click here to view a larger version of this figure.
Automated cryoconite grain analysis
In an example of an automated analysis of a cryoconite hole (Figure 10), the highest pigment area densities were observed at pixel line 50. The sample spectrum after excitation with a 532 nm laser showed a peak with a cut off at a gray value of 255 in response to oversaturation of the sensor. This peak derived from the green laser and not from the fluorescent signal.
Figure 10: Automated data analysis of a single cryoconite granule with a diameter of 1 mm. The sample was collected at Vestre Brøggerbreen (VBB) and measured within 4 h after sampling in a dark laboratory room at the Arctic Station (GB) facility in Ny-Ålesund. The left column shows B-PE measurements and the right column represents chla data. The raw images are displayed on top. Laser-induced fluorescence responses are displayed in gray. Red areas indicate the response from standard pigments. The middle section illustrates the spatial distribution of the target pigments. The spectral properties of the fluorescence signal are displayed in the lower images. Please click here to view a larger version of this figure.
Impact of laser excitation on productivity in bacterial mats
Neither primary nor bacterial productivity were affected when increasing the power of the laser and/or the exposure time (Figure 11). No significant differences were detected under laser treatments with increased power.
Figure 11: Productivity measurements of samples from Svalbard. Bacterial mats were exposed with green and blue lasers of varying laser intensities and exposure times. The data are colored according to the laser wavelength source (green and blue). Please click here to view a larger version of this figure.
aceton | Merck | 67-64-1 | |
B-Phycoerythrin | Invirtrogen | P6305 | |
Chlorophyll a standard | Sigma-Aldrich | C6144-1MG | |
formaline | Merck | HT501128 | 36% |
GF/C filters | Whatman | WHA1822025 | 25mm diameter |
HCl | Merck | H1758 | 36,5-38% |
L.I.F.E. Prototype | University of Innsbruck | built on demand | |
LabView | National Instruments | Software, Laboratory Virtual Instrumentation Engineering Workbench | |
Leucine, L-[4,5-3H], 1 mCi | Perkin Elmer | NET1166001MC | radioactive |
Liquid scintillation cocktail Beckman Ready Use | Beckman | not more available, can be compensated by Ultra Gold, Packard | |
liquid scintillation counter | Beckman | out of stock | LSC 6000 IC |
NaH14CO3 (4 µCi/ml) | DHI Denmark | 4 μCi/ml, 1 ml | radioactive |
Osmonics polycarbonate filters | DHI Denmark | PCTE | 25mm diameter, 0,2µm pore size |
Polyscintillation vials | Perkin Elmer | WHA1825047 | 20ml |
sample tubes | Sigma Aldrich | T2318-500EA | Greiner centrifuge tubes, 50ml |
Spectrophotometer | Hitachi | NA | Model U2001, any photometer for absorption spectroscopy measuring at 664nm and 750nm would be appropriate |
trichloric acetic acid (TCA) | Merck | T6399 | 100% |
ultrasonic probe | nano lab | QS1T-2 |
Global warming affects microbial communities in a variety of ecosystems, especially cryospheric habitats. However, little is known about microbial-mediated carbon fluxes in extreme environments. Hence, the methodology of sample acquisition described in the very few studies available implies two major problems: A) high resolution data require a large number of samples, which is difficult to obtain in remote areas; B) unavoidable sample manipulation such as cutting, sawing, and melting of ice cores that leads to a misunderstanding of in situ conditions. In this study, a prototype device that requires neither sample preparation nor sample destruction is presented. The device can be used for in situ measurements with a high spectral and spatial resolution in terrestrial and ice ecosystems and is based on the Laser-Induced Fluorescence Emission (L.I.F.E.) technique. Photoautotrophic supraglacial communities can be identified by the detection of L.I.F.E. signatures in photopigments. The L.I.F.E. instrument calibration for the porphyrin derivates chlorophylla (chla) (405 nm laser excitation) and B-phycoerythrin (B-PE) (532 nm laser excitation) is demonstrated. For the validation of this methodology, L.I.F.E. data were ratified by a conventional method for chla quantification that involved pigment extraction and subsequent absorption spectroscopy. The prototype applicability in the field was proven in extreme polar environments. Further testing on terrestrial habitats took place during Mars analog simulations in the Moroccan dessert and on an Austrian rock glacier. The L.I.F.E. instrument enables high resolution scans of large areas with acceptable operation logistics and contributes to a better understanding of the ecological potential of supraglacial communities in the context of global change.
Global warming affects microbial communities in a variety of ecosystems, especially cryospheric habitats. However, little is known about microbial-mediated carbon fluxes in extreme environments. Hence, the methodology of sample acquisition described in the very few studies available implies two major problems: A) high resolution data require a large number of samples, which is difficult to obtain in remote areas; B) unavoidable sample manipulation such as cutting, sawing, and melting of ice cores that leads to a misunderstanding of in situ conditions. In this study, a prototype device that requires neither sample preparation nor sample destruction is presented. The device can be used for in situ measurements with a high spectral and spatial resolution in terrestrial and ice ecosystems and is based on the Laser-Induced Fluorescence Emission (L.I.F.E.) technique. Photoautotrophic supraglacial communities can be identified by the detection of L.I.F.E. signatures in photopigments. The L.I.F.E. instrument calibration for the porphyrin derivates chlorophylla (chla) (405 nm laser excitation) and B-phycoerythrin (B-PE) (532 nm laser excitation) is demonstrated. For the validation of this methodology, L.I.F.E. data were ratified by a conventional method for chla quantification that involved pigment extraction and subsequent absorption spectroscopy. The prototype applicability in the field was proven in extreme polar environments. Further testing on terrestrial habitats took place during Mars analog simulations in the Moroccan dessert and on an Austrian rock glacier. The L.I.F.E. instrument enables high resolution scans of large areas with acceptable operation logistics and contributes to a better understanding of the ecological potential of supraglacial communities in the context of global change.
Global warming affects microbial communities in a variety of ecosystems, especially cryospheric habitats. However, little is known about microbial-mediated carbon fluxes in extreme environments. Hence, the methodology of sample acquisition described in the very few studies available implies two major problems: A) high resolution data require a large number of samples, which is difficult to obtain in remote areas; B) unavoidable sample manipulation such as cutting, sawing, and melting of ice cores that leads to a misunderstanding of in situ conditions. In this study, a prototype device that requires neither sample preparation nor sample destruction is presented. The device can be used for in situ measurements with a high spectral and spatial resolution in terrestrial and ice ecosystems and is based on the Laser-Induced Fluorescence Emission (L.I.F.E.) technique. Photoautotrophic supraglacial communities can be identified by the detection of L.I.F.E. signatures in photopigments. The L.I.F.E. instrument calibration for the porphyrin derivates chlorophylla (chla) (405 nm laser excitation) and B-phycoerythrin (B-PE) (532 nm laser excitation) is demonstrated. For the validation of this methodology, L.I.F.E. data were ratified by a conventional method for chla quantification that involved pigment extraction and subsequent absorption spectroscopy. The prototype applicability in the field was proven in extreme polar environments. Further testing on terrestrial habitats took place during Mars analog simulations in the Moroccan dessert and on an Austrian rock glacier. The L.I.F.E. instrument enables high resolution scans of large areas with acceptable operation logistics and contributes to a better understanding of the ecological potential of supraglacial communities in the context of global change.