1 00:00:09,150 --> 00:00:08,040 my name is Kyla Kurt I'm from the 2 00:00:11,340 --> 00:00:09,160 Astronomy Department at New Mexico State 3 00:00:13,740 --> 00:00:11,350 University I'd like to start by saying 4 00:00:15,480 --> 00:00:13,750 today was the first time I saw rain in a 5 00:00:17,910 --> 00:00:15,490 very long time it's very exciting for me 6 00:00:19,590 --> 00:00:17,920 i was talking something a little 7 00:00:21,029 --> 00:00:19,600 different everyone else this session has 8 00:00:22,770 --> 00:00:21,039 talked about exoplanets and i'll be 9 00:00:26,790 --> 00:00:22,780 changing topics totally by talking about 10 00:00:28,410 --> 00:00:26,800 planets in our solar system first like 11 00:00:29,850 --> 00:00:28,420 to start by acknowledging the many 12 00:00:31,890 --> 00:00:29,860 people who have helped me during this 13 00:00:34,500 --> 00:00:31,900 project especially my advisor non siano 14 00:00:35,729 --> 00:00:34,510 bear so here's a brief overview of what 15 00:00:37,500 --> 00:00:35,739 i'll be talking about today i'll talk 16 00:00:40,319 --> 00:00:37,510 about three types of instruments that 17 00:00:42,810 --> 00:00:40,329 we've been developing at nmsu and also 18 00:00:45,690 --> 00:00:42,820 at goddard space flight center it's an 19 00:00:47,819 --> 00:00:45,700 acousto-optic tunable filter ir 20 00:00:49,380 --> 00:00:47,829 reflectance spectrometer a two-step 21 00:00:51,150 --> 00:00:49,390 laser desorption mass spectrometer and 22 00:01:03,330 --> 00:00:51,160 they lived instrument a laser-induced 23 00:01:05,969 --> 00:01:03,340 breakdown spectroscopy alisis techniques 24 00:01:07,230 --> 00:01:05,979 and spectral on mixing technique and a 25 00:01:08,700 --> 00:01:07,240 principal component analysis to 26 00:01:10,469 --> 00:01:08,710 determine the presence of biotic 27 00:01:12,090 --> 00:01:10,479 activity and we're really trying to 28 00:01:13,559 --> 00:01:12,100 answer this question right here so how 29 00:01:15,090 --> 00:01:13,569 come by adding activity being furred 30 00:01:16,739 --> 00:01:15,100 from the results of multiple instruments 31 00:01:19,620 --> 00:01:16,749 so using these instruments in 32 00:01:21,059 --> 00:01:19,630 combination can help determine the 33 00:01:24,480 --> 00:01:21,069 presence of biotic to be better than any 34 00:01:27,620 --> 00:01:24,490 one instrument of itself so earlier we 35 00:01:30,300 --> 00:01:27,630 talked about biosignatures related to 36 00:01:31,709 --> 00:01:30,310 exoplanets and my definition of 37 00:01:33,660 --> 00:01:31,719 biosignatures is a little bit different 38 00:01:36,779 --> 00:01:33,670 we're looking for processes of 39 00:01:39,209 --> 00:01:36,789 biomineralization or really any any kind 40 00:01:40,949 --> 00:01:39,219 of evidence that shows that biotic 41 00:01:42,480 --> 00:01:40,959 activity has influenced the formation of 42 00:01:43,769 --> 00:01:42,490 these geologic samples so we're looking 43 00:01:45,899 --> 00:01:43,779 for things like evidence of trace 44 00:01:47,669 --> 00:01:45,909 minerals that indicate biotic presence 45 00:01:49,559 --> 00:01:47,679 evidence of a crystal structure that 46 00:01:51,569 --> 00:01:49,569 could indicate some kind of influence of 47 00:01:53,999 --> 00:01:51,579 biology on the profit of formation of 48 00:01:55,859 --> 00:01:54,009 these minerals and also any chemical or 49 00:01:57,239 --> 00:01:55,869 physical disequilibrium with the rest of 50 00:01:59,209 --> 00:01:57,249 the geologic environment that could 51 00:02:01,319 --> 00:01:59,219 indicate the presence of biology and the 52 00:02:03,059 --> 00:02:01,329 three types of instruments were using 53 00:02:05,099 --> 00:02:03,069 are as i said earlier an ir reflecting 54 00:02:06,599 --> 00:02:05,109 spectrometer so this produce this shows 55 00:02:09,270 --> 00:02:06,609 us the molecular absorption features 56 00:02:11,460 --> 00:02:09,280 within any kind of spectra which could 57 00:02:14,940 --> 00:02:11,470 indicate the presence of biology or just 58 00:02:16,020 --> 00:02:14,950 geologic mineralization we're also 59 00:02:17,670 --> 00:02:16,030 looking at this two-step mass 60 00:02:19,530 --> 00:02:17,680 spectrometer which produces a mass 61 00:02:21,449 --> 00:02:19,540 spectrum which shows elect 62 00:02:23,520 --> 00:02:21,459 elemental and molecular composition of a 63 00:02:25,289 --> 00:02:23,530 sample and also this lived instrument 64 00:02:26,729 --> 00:02:25,299 which gives us an emission spectrum 65 00:02:30,479 --> 00:02:26,739 which shows the elemental composition of 66 00:02:32,670 --> 00:02:30,489 a type of sample so first let's talk 67 00:02:34,080 --> 00:02:32,680 about the aocf point spectrometer which 68 00:02:36,000 --> 00:02:34,090 has been in development since about two 69 00:02:37,800 --> 00:02:36,010 thousand nine this is an interesting 70 00:02:40,050 --> 00:02:37,810 kind of spectrometer what we have is an 71 00:02:42,089 --> 00:02:40,060 IR a light source over on this end and 72 00:02:44,039 --> 00:02:42,099 after going through several optics it 73 00:02:46,259 --> 00:02:44,049 reaches this aocf crystal which is a 74 00:02:48,929 --> 00:02:46,269 tellurium oxide crystal we pulse this 75 00:02:52,589 --> 00:02:48,939 radio wave through about 30 to 80 76 00:02:54,360 --> 00:02:52,599 megahertz and each time we apply some 77 00:02:56,039 --> 00:02:54,370 kind of radio frequency the light passes 78 00:02:58,199 --> 00:02:56,049 through a certain index of refraction 79 00:03:00,300 --> 00:02:58,209 which then lands on the sample one is 80 00:03:02,220 --> 00:03:00,310 reflected back into a detector and after 81 00:03:04,440 --> 00:03:02,230 sweeping through all RF frequencies were 82 00:03:07,830 --> 00:03:04,450 able to build up a spectral image of the 83 00:03:09,599 --> 00:03:07,840 sample so this particular alt f sub 84 00:03:12,509 --> 00:03:09,609 trauma tur has a resolution of about 200 85 00:03:14,399 --> 00:03:12,519 to 400 and we are looking in the 1.6 to 86 00:03:16,979 --> 00:03:14,409 3.6 micron range which is really 87 00:03:18,809 --> 00:03:16,989 important range for looking for hydrated 88 00:03:20,819 --> 00:03:18,819 minerals or the presence of organic 89 00:03:22,649 --> 00:03:20,829 material this is a non-destructive 90 00:03:24,360 --> 00:03:22,659 technique and requires no sample 91 00:03:28,080 --> 00:03:24,370 preparation at all it's also very fast 92 00:03:30,990 --> 00:03:28,090 low-power and does not take up very much 93 00:03:32,550 --> 00:03:31,000 space the second type of instrument is 94 00:03:34,589 --> 00:03:32,560 this two-step laser desorption mass 95 00:03:36,719 --> 00:03:34,599 spectrometer this is very similar to a 96 00:03:39,210 --> 00:03:36,729 typical mass spectrometer but it has two 97 00:03:41,129 --> 00:03:39,220 lasers so the first laser is an IR laser 98 00:03:43,920 --> 00:03:41,139 which ablates some sample material from 99 00:03:46,309 --> 00:03:43,930 a surface a second UV laser intersects 100 00:03:49,289 --> 00:03:46,319 this plasma or this ablative material 101 00:03:51,869 --> 00:03:49,299 ionizing the atoms which are then 102 00:03:54,330 --> 00:03:51,879 extracted into these into this reflector 103 00:03:55,860 --> 00:03:54,340 on tube and by using the time-of-flight 104 00:03:58,860 --> 00:03:55,870 method were able to determine the mass 105 00:04:00,270 --> 00:03:58,870 to charge ratio of the particles so 106 00:04:01,619 --> 00:04:00,280 we're able to determine elemental and 107 00:04:02,879 --> 00:04:01,629 block your composition and the big 108 00:04:06,270 --> 00:04:02,889 advantage to using this type of 109 00:04:08,009 --> 00:04:06,280 technique is that the using two 110 00:04:10,170 --> 00:04:08,019 different lasers actually preserves 111 00:04:11,580 --> 00:04:10,180 these large complex biomarkers much more 112 00:04:13,920 --> 00:04:11,590 effectively than using a single laser 113 00:04:17,129 --> 00:04:13,930 for ablation and ionization at the same 114 00:04:19,499 --> 00:04:17,139 time this is also a very minimally 115 00:04:20,879 --> 00:04:19,509 destructive procedure and requires no 116 00:04:22,740 --> 00:04:20,889 sample preparation so this produces 117 00:04:26,339 --> 00:04:22,750 about a 100 micron crater on the target 118 00:04:27,930 --> 00:04:26,349 and the last type of instrument we're 119 00:04:29,010 --> 00:04:27,940 looking at is a libs instrument which 120 00:04:32,040 --> 00:04:29,020 stands for laser-induced breakdown 121 00:04:33,330 --> 00:04:32,050 spectroscopy and similarly we will use a 122 00:04:35,520 --> 00:04:33,340 UV laser to 123 00:04:37,620 --> 00:04:35,530 wait some material and the resulting 124 00:04:41,850 --> 00:04:37,630 emission spectrum from the plasma is 125 00:04:43,500 --> 00:04:41,860 collected by a spectrometer this is 126 00:04:45,629 --> 00:04:43,510 similar to the chemcam instrument that's 127 00:04:47,520 --> 00:04:45,639 on curiosity right now the big advantage 128 00:04:49,740 --> 00:04:47,530 to using this type of instrument is the 129 00:04:51,450 --> 00:04:49,750 depth profiling so by taking multiple 130 00:04:53,370 --> 00:04:51,460 shots at a sample at the same location 131 00:04:54,659 --> 00:04:53,380 you're able to sort of dig into the 132 00:04:58,740 --> 00:04:54,669 sample and look at the very near 133 00:05:01,320 --> 00:04:58,750 subsurface the type of samples were 134 00:05:02,969 --> 00:05:01,330 looking at are very diverse we're 135 00:05:04,740 --> 00:05:02,979 looking at first non biologic samples 136 00:05:06,629 --> 00:05:04,750 such as the sulfates carbonates and 137 00:05:08,550 --> 00:05:06,639 Clay's which we think could be present 138 00:05:10,770 --> 00:05:08,560 on different planetary surfaces within 139 00:05:13,290 --> 00:05:10,780 our solar system and also on earth are 140 00:05:15,360 --> 00:05:13,300 very good hosts for life we then dope 141 00:05:17,850 --> 00:05:15,370 these samples with certain biologic 142 00:05:21,030 --> 00:05:17,860 materials like amino acids or pahs and 143 00:05:22,950 --> 00:05:21,040 the type of material we're looking at or 144 00:05:24,390 --> 00:05:22,960 just these field samples so here's an 145 00:05:27,029 --> 00:05:24,400 example of desert varnish which is 146 00:05:28,620 --> 00:05:27,039 plentiful down where we live so it's 147 00:05:31,860 --> 00:05:28,630 some kind of substrate with this 148 00:05:33,990 --> 00:05:31,870 magnesium oxide crust or magnesium side 149 00:05:37,020 --> 00:05:34,000 crust sorry there are microbes within 150 00:05:38,940 --> 00:05:37,030 this surface which oxidizes the 151 00:05:40,890 --> 00:05:38,950 magnesium the rock which then gets 152 00:05:42,779 --> 00:05:40,900 excreted as this crust and we're able to 153 00:05:43,860 --> 00:05:42,789 very easily spectroscopically tell the 154 00:05:46,260 --> 00:05:43,870 difference between these types of 155 00:05:48,240 --> 00:05:46,270 surfaces and also we're looking at this 156 00:05:51,300 --> 00:05:48,250 which is a travertine sample with a 157 00:05:52,860 --> 00:05:51,310 microbial colony living within it so 158 00:05:54,240 --> 00:05:52,870 here's some very brief results showing 159 00:05:56,010 --> 00:05:54,250 the capabilities of these instruments 160 00:05:57,480 --> 00:05:56,020 this is the IR reflectance spectrometer 161 00:05:59,610 --> 00:05:57,490 results and you can see very easily 162 00:06:02,360 --> 00:05:59,620 these it's evidence for hydration in 163 00:06:05,490 --> 00:06:02,370 these sulfates and the clay minerals 164 00:06:06,719 --> 00:06:05,500 this is an example of a gypsum material 165 00:06:09,360 --> 00:06:06,729 which we've doped with two types of 166 00:06:11,430 --> 00:06:09,370 amino acids and you can very easily see 167 00:06:15,210 --> 00:06:11,440 the presence of the phthalic acid and 168 00:06:16,980 --> 00:06:15,220 valine and both of these spectra and 169 00:06:18,540 --> 00:06:16,990 here we have the laser desorption 170 00:06:20,790 --> 00:06:18,550 time-of-flight mass spectrometer results 171 00:06:23,300 --> 00:06:20,800 dope with the same types of amino acids 172 00:06:26,520 --> 00:06:23,310 showing these peaks at 116 and 165 173 00:06:28,589 --> 00:06:26,530 Dalton's which represent the more 174 00:06:32,820 --> 00:06:28,599 complex organic materials rather than 175 00:06:34,469 --> 00:06:32,830 just the typical elemental so as I 176 00:06:35,940 --> 00:06:34,479 mentioned earlier we're looking at two 177 00:06:37,620 --> 00:06:35,950 different quantitative analysis 178 00:06:39,629 --> 00:06:37,630 techniques to try and determine the 179 00:06:41,909 --> 00:06:39,639 presence of biotic activity and although 180 00:06:45,140 --> 00:06:41,919 the previous slide show good visual 181 00:06:47,129 --> 00:06:45,150 proof of concepts of these instruments 182 00:06:49,379 --> 00:06:47,139 you know having a quantity 183 00:06:50,909 --> 00:06:49,389 of analysis is much more thorough so 184 00:06:52,559 --> 00:06:50,919 we're using two types the first one is 185 00:06:54,540 --> 00:06:52,569 called the spectral mixture analysis 186 00:06:57,989 --> 00:06:54,550 technique and we'll be using the USGS 187 00:07:00,600 --> 00:06:57,999 spec PR process routines to apply this 188 00:07:02,159 --> 00:07:00,610 type of analysis to the aocf point 189 00:07:04,170 --> 00:07:02,169 spectrometer and what this basically 190 00:07:06,629 --> 00:07:04,180 does is it takes several spectral end 191 00:07:08,730 --> 00:07:06,639 members and combines them in a linear 192 00:07:09,959 --> 00:07:08,740 fashion in order to reproduce the 193 00:07:11,969 --> 00:07:09,969 reflectance spectra that we measure 194 00:07:14,659 --> 00:07:11,979 within the sample the idea here is that 195 00:07:17,159 --> 00:07:14,669 any sample we look at is really just a 196 00:07:21,179 --> 00:07:17,169 sum of a mixture of different kinds of 197 00:07:23,010 --> 00:07:21,189 reflectance spectra so after finding the 198 00:07:24,209 --> 00:07:23,020 best fit between the real and model 199 00:07:25,559 --> 00:07:24,219 spectra are you able to determine the 200 00:07:27,300 --> 00:07:25,569 relative abundances of these different 201 00:07:29,219 --> 00:07:27,310 spectral data members so there are 202 00:07:31,619 --> 00:07:29,229 several libraries available online which 203 00:07:34,260 --> 00:07:31,629 have lots of different pure samples like 204 00:07:36,209 --> 00:07:34,270 Jerry site or sulfates and we're also 205 00:07:37,920 --> 00:07:36,219 going to add to these spectral member 206 00:07:40,129 --> 00:07:37,930 libraries different types of organic 207 00:07:43,890 --> 00:07:40,139 materials and lichens that we'll be 208 00:07:45,510 --> 00:07:43,900 trying to observe the second type of 209 00:07:47,610 --> 00:07:45,520 analysis is called principal component 210 00:07:49,110 --> 00:07:47,620 analysis I'll just get a very brief 211 00:07:51,269 --> 00:07:49,120 overview of what that is so this will be 212 00:07:53,519 --> 00:07:51,279 applied to all three instruments using a 213 00:07:55,920 --> 00:07:53,529 commercial in software package called 214 00:07:58,050 --> 00:07:55,930 the unscrambler and the principal 215 00:08:00,119 --> 00:07:58,060 components are really defined as the 216 00:08:01,439 --> 00:08:00,129 dimensions within a sample set along 217 00:08:03,899 --> 00:08:01,449 which the least amount of variance 218 00:08:06,209 --> 00:08:03,909 exists this is a really simple example 219 00:08:08,519 --> 00:08:06,219 showing a two dimensional data set which 220 00:08:10,379 --> 00:08:08,529 is you know just very ambiguous and it 221 00:08:12,600 --> 00:08:10,389 shows that the first principal component 222 00:08:14,519 --> 00:08:12,610 would be along this axis and the second 223 00:08:17,040 --> 00:08:14,529 will be along this axis so this is only 224 00:08:19,079 --> 00:08:17,050 a 2d data set with the libs instrument 225 00:08:21,179 --> 00:08:19,089 for example we're looking at a 13,000 226 00:08:23,010 --> 00:08:21,189 dimensional data set which is much 227 00:08:24,990 --> 00:08:23,020 harder to visualize but the principle is 228 00:08:26,760 --> 00:08:25,000 really the same now this allows you to 229 00:08:28,950 --> 00:08:26,770 determine with the relative quantities 230 00:08:30,149 --> 00:08:28,960 of trace elements within a sample is it 231 00:08:32,219 --> 00:08:30,159 could also help you determine what the 232 00:08:34,380 --> 00:08:32,229 method of formation is based on the 233 00:08:37,380 --> 00:08:34,390 amount of energy that's necessary to 234 00:08:39,959 --> 00:08:37,390 ablate a sample and it also is able to 235 00:08:43,290 --> 00:08:39,969 ver the biologic content of an unknown 236 00:08:46,230 --> 00:08:43,300 sample so I want to show an example that 237 00:08:48,060 --> 00:08:46,240 we've taken very recently this is a very 238 00:08:50,670 --> 00:08:48,070 blurry picture of a mazda night sample 239 00:08:53,880 --> 00:08:50,680 with lichen on top of it so I've only 240 00:08:55,230 --> 00:08:53,890 shown in the picture of the lichen but 241 00:08:57,240 --> 00:08:55,240 we're essentially looking at three 242 00:08:58,949 --> 00:08:57,250 different regions of this sample we have 243 00:09:00,509 --> 00:08:58,959 a very large rock which has this lichen 244 00:09:00,990 --> 00:09:00,519 crust on it and you can see that there 245 00:09:03,840 --> 00:09:01,000 are these 246 00:09:05,550 --> 00:09:03,850 green areas some black areas and then 247 00:09:07,710 --> 00:09:05,560 not shown in the picture is the cut 248 00:09:09,690 --> 00:09:07,720 surface we've cut with the rock sauce so 249 00:09:12,060 --> 00:09:09,700 this is a very smooth surface and a 250 00:09:14,430 --> 00:09:12,070 crust without any lichen at all and when 251 00:09:16,440 --> 00:09:14,440 we apply the PC a technique to this we 252 00:09:19,110 --> 00:09:16,450 see that the different types of surfaces 253 00:09:20,520 --> 00:09:19,120 we observe break it out into these two 254 00:09:23,700 --> 00:09:20,530 differ order to these four different 255 00:09:25,650 --> 00:09:23,710 groups so down here we have the black 256 00:09:28,020 --> 00:09:25,660 lichen area over here we have the green 257 00:09:29,610 --> 00:09:28,030 like an area up here is the crust 258 00:09:31,710 --> 00:09:29,620 without any lichen that's visually 259 00:09:35,790 --> 00:09:31,720 observable and over here is the cut rock 260 00:09:37,290 --> 00:09:35,800 surface so it's difficult to just see 261 00:09:38,610 --> 00:09:37,300 what this really means unless we look at 262 00:09:40,380 --> 00:09:38,620 the what are called the loading plots 263 00:09:43,470 --> 00:09:40,390 which show how the variance is actually 264 00:09:45,150 --> 00:09:43,480 defined and in this case principal 265 00:09:47,550 --> 00:09:45,160 component one is really based on the 266 00:09:49,980 --> 00:09:47,560 amount of silicon in the sample and we 267 00:09:51,900 --> 00:09:49,990 see that the areas with lichen have much 268 00:09:55,020 --> 00:09:51,910 more silicon in them than the areas 269 00:09:57,750 --> 00:09:55,030 without lots of lichens produce a silica 270 00:09:59,700 --> 00:09:57,760 glaze over top of itself as a way of 271 00:10:01,350 --> 00:09:59,710 they think protecting it from the 272 00:10:03,510 --> 00:10:01,360 harmful UV rays so that could be what 273 00:10:05,160 --> 00:10:03,520 we're observing here and also along 274 00:10:08,070 --> 00:10:05,170 principle component two is an increase 275 00:10:09,660 --> 00:10:08,080 in magnesium or magnesium and carbon and 276 00:10:11,490 --> 00:10:09,670 that's shown that the lichen has more 277 00:10:13,230 --> 00:10:11,500 magnesium and carbon we're not quite 278 00:10:14,670 --> 00:10:13,240 sure what this could be but it's 279 00:10:17,220 --> 00:10:14,680 possible that this could indicate the 280 00:10:20,700 --> 00:10:17,230 presence of chlorophyll or chloroplasts 281 00:10:22,020 --> 00:10:20,710 which we're observing here so the 282 00:10:24,450 --> 00:10:22,030 question we're trying to figure out now 283 00:10:27,050 --> 00:10:24,460 is how to apply these results to all 284 00:10:30,390 --> 00:10:27,060 three instruments and for future 285 00:10:32,520 --> 00:10:30,400 acquisition what we plan to do is take 286 00:10:35,880 --> 00:10:32,530 institution measurements in cave regions 287 00:10:37,620 --> 00:10:35,890 so in October will be taking a GF point 288 00:10:41,130 --> 00:10:37,630 spectrometer and the libs instrument 289 00:10:44,040 --> 00:10:41,140 into snowy river cave this is in Fort 290 00:10:46,380 --> 00:10:44,050 stay in New Mexico and it's known that 291 00:10:49,310 --> 00:10:46,390 many different kinds of the speleothems 292 00:10:51,900 --> 00:10:49,320 or cave formations within this cave are 293 00:10:54,060 --> 00:10:51,910 produced through biotic means so their 294 00:10:56,070 --> 00:10:54,070 influence through microbial activity and 295 00:10:58,290 --> 00:10:56,080 we'll be trying to use these analysis 296 00:10:59,490 --> 00:10:58,300 techniques to determine which types of 297 00:11:01,410 --> 00:10:59,500 cave formations are produced through 298 00:11:03,930 --> 00:11:01,420 biology and which types are produced 299 00:11:05,250 --> 00:11:03,940 through abiotic mechanisms and the whole 300 00:11:07,980 --> 00:11:05,260 point to this or the astrobiological 301 00:11:09,840 --> 00:11:07,990 context of this is where we're trying to 302 00:11:13,079 --> 00:11:09,850 determine how each of these instruments 303 00:11:14,580 --> 00:11:13,089 can be used to look for life in the 304 00:11:16,980 --> 00:11:14,590 solar system in that 305 00:11:18,720 --> 00:11:16,990 if you are planning a roving or landing 306 00:11:20,040 --> 00:11:18,730 mission to another solar system body and 307 00:11:22,110 --> 00:11:20,050 you have an idea of what kinds of life 308 00:11:23,610 --> 00:11:22,120 you're able to find will be able to tell 309 00:11:25,560 --> 00:11:23,620 you which types of instruments or 310 00:11:27,060 --> 00:11:25,570 multiple types of instruments are best 311 00:11:30,660 --> 00:11:27,070 suited to observe those kinds of 312 00:11:44,190 --> 00:11:30,670 biological mechanisms that's it take any 313 00:11:45,660 --> 00:11:44,200 questions thank you yes now the question 314 00:11:50,370 --> 00:11:45,670 was how big does the mineral need to be 315 00:11:52,580 --> 00:11:50,380 the DA OTF basically produces that size 316 00:11:56,550 --> 00:11:52,590 limit and it has a spot size of about 317 00:11:58,470 --> 00:11:56,560 one millimeter in diameter so anything 318 00:12:03,390 --> 00:11:58,480 about twice as big as that is usually 319 00:12:05,040 --> 00:12:03,400 pretty good for us so that to start with 320 00:12:06,960 --> 00:12:05,050 to build a spectral a member library we 321 00:12:10,610 --> 00:12:06,970 use the pure minerals and we're starting 322 00:12:20,079 --> 00:12:10,620 on using these mixtures or field samples 323 00:12:23,449 --> 00:12:22,130 it's not something we thought about but 324 00:12:25,699 --> 00:12:23,459 it's something maybe we should look into 325 00:12:28,610 --> 00:12:25,709 I know those are usually used for 326 00:12:29,720 --> 00:12:28,620 sending permeable membranes I think so 327 00:12:39,980 --> 00:12:29,730 that's definitely a good indicator for 328 00:12:41,750 --> 00:12:39,990 life yes well we're not able to measure 329 00:12:44,120 --> 00:12:41,760 the different isotope ratios for carbon 330 00:12:45,829 --> 00:12:44,130 the laser desorption time-of-flight mass 331 00:12:47,300 --> 00:12:45,839 spectrometer might but the signal tone 332 00:12:59,329 --> 00:12:47,310 oysters isn't good enough for us to do 333 00:13:02,810 --> 00:12:59,339 that yes shows those in particular yeah 334 00:13:04,639 --> 00:13:02,820 can you repeat what you said about which 335 00:13:07,610 --> 00:13:04,649 amino acids you spiked your samples with 336 00:13:10,220 --> 00:13:07,620 and why you chose those particular amino 337 00:13:11,540 --> 00:13:10,230 acids sure we chose phthalic acid and 338 00:13:12,740 --> 00:13:11,550 valine and I think they were chosen 339 00:13:16,670 --> 00:13:12,750 because those were the ones we had 340 00:13:18,500 --> 00:13:16,680 available sorry can you distinguish 341 00:13:21,740 --> 00:13:18,510 between the different isomers of veiling 342 00:13:28,610 --> 00:13:21,750 with your methods I'm sorry I don't