1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,940 --> 00:00:09,170 [Applause] 3 00:00:14,610 --> 00:00:11,950 thank you for showing up late in the day 4 00:00:16,020 --> 00:00:14,620 and thanks to the ICT program for 5 00:00:17,880 --> 00:00:16,030 funding this has developed me we just 6 00:00:20,010 --> 00:00:17,890 started a few months ago we're gonna 7 00:00:22,590 --> 00:00:20,020 continue for the next couple years and 8 00:00:25,880 --> 00:00:22,600 I'm speaking on behalf of the mass spec 9 00:00:31,260 --> 00:00:25,890 orchid team oops 10 00:00:32,820 --> 00:00:31,270 oh sorry those zeros got it and I just 11 00:00:34,890 --> 00:00:32,830 wanted to tell you what our objectives 12 00:00:37,170 --> 00:00:34,900 are we're interested in searching for 13 00:00:40,350 --> 00:00:37,180 organic bio signatures and indicators of 14 00:00:44,340 --> 00:00:40,360 habitable conditions on both current and 15 00:00:47,460 --> 00:00:44,350 former ocean worlds so we love Europa 16 00:00:49,500 --> 00:00:47,470 I love Enceladus we all love Titan after 17 00:00:51,180 --> 00:00:49,510 the glorious announcement this afternoon 18 00:00:52,799 --> 00:00:51,190 but we're also interested in other 19 00:00:53,520 --> 00:00:52,809 places like Ceres it might tell 20 00:00:56,040 --> 00:00:53,530 something up 21 00:00:57,510 --> 00:00:56,050 former ocean worlds processes so we're 22 00:01:00,119 --> 00:00:57,520 interested in developing general 23 00:01:03,510 --> 00:01:00,129 capabilities to assess bio signatures 24 00:01:05,340 --> 00:01:03,520 and habitability and so what I mean by 25 00:01:07,830 --> 00:01:05,350 organic bio signatures so we're very 26 00:01:10,020 --> 00:01:07,840 interested in some of the classical 27 00:01:13,350 --> 00:01:10,030 tests for bio signatures things like the 28 00:01:15,060 --> 00:01:13,360 distributions of simple amino acids this 29 00:01:16,859 --> 00:01:15,070 is aspartic acid Peter Willis gave a 30 00:01:19,260 --> 00:01:16,869 great overview these kinds of concepts 31 00:01:22,140 --> 00:01:19,270 more complex molecules that might be 32 00:01:24,929 --> 00:01:22,150 only produced by biological processes as 33 00:01:27,060 --> 00:01:24,939 well as carboxylic acids you could have 34 00:01:29,219 --> 00:01:27,070 simple carboxylic acids that might 35 00:01:32,130 --> 00:01:29,229 either service food sources or as 36 00:01:34,770 --> 00:01:32,140 products of metabolism as well as lipid 37 00:01:36,899 --> 00:01:34,780 forming carboxylic acids and you can't 38 00:01:39,210 --> 00:01:36,909 see this in this image - well I'm sorry 39 00:01:42,030 --> 00:01:39,220 to say but this is just one example of a 40 00:01:44,310 --> 00:01:42,040 complex type of organic material known 41 00:01:46,740 --> 00:01:44,320 as a human some people think that this 42 00:01:48,630 --> 00:01:46,750 is a reasonable analogue to the organic 43 00:01:50,429 --> 00:01:48,640 material that's been found in Enceladus 44 00:01:52,109 --> 00:01:50,439 and we're interested in trying to 45 00:01:54,210 --> 00:01:52,119 characterize these types of materials on 46 00:01:56,850 --> 00:01:54,220 the other bodies as well as more geo 47 00:01:59,510 --> 00:01:56,860 processed products of these kinds of 48 00:02:02,370 --> 00:01:59,520 substances like keratin for example and 49 00:02:04,350 --> 00:02:02,380 then when I mean ability indicators I'm 50 00:02:06,630 --> 00:02:04,360 talking about both both individual 51 00:02:08,669 --> 00:02:06,640 molecules so you could imagine we're 52 00:02:11,819 --> 00:02:08,679 very interested in is their source 53 00:02:13,470 --> 00:02:11,829 sources of nitrogen on Europa surface or 54 00:02:15,680 --> 00:02:13,480 in the ocean that might support 55 00:02:18,210 --> 00:02:15,690 habitable conditions as well as 56 00:02:19,740 --> 00:02:18,220 reactions so if you want to assess is 57 00:02:21,509 --> 00:02:19,750 there enough chemical energies to 58 00:02:22,320 --> 00:02:21,519 support life well you can't just say 59 00:02:24,090 --> 00:02:22,330 there's there's high 60 00:02:27,060 --> 00:02:24,100 there's energy you actually have to 61 00:02:28,920 --> 00:02:27,070 consider full reaction so for example if 62 00:02:32,280 --> 00:02:28,930 you're interested in meth Anna Genesis 63 00:02:34,590 --> 00:02:32,290 you need measurements of co2 hydrogen 64 00:02:36,960 --> 00:02:34,600 and methane so you can evaluate the 65 00:02:39,930 --> 00:02:36,970 potential for chemical energy makes our 66 00:02:41,910 --> 00:02:39,940 jobs a little bit harder just to 67 00:02:44,130 --> 00:02:41,920 illustrate why this is useful and why 68 00:02:46,920 --> 00:02:44,140 you might care about this a couple years 69 00:02:48,150 --> 00:02:46,930 ago we had a paper analyzing this in the 70 00:02:50,430 --> 00:02:48,160 Enceladus plume we had these 71 00:02:52,650 --> 00:02:50,440 measurements of coexisting hydrogen 72 00:02:54,180 --> 00:02:52,660 methane and co2 and when you have those 73 00:02:57,060 --> 00:02:54,190 measurements then you can construct 74 00:02:58,710 --> 00:02:57,070 these types of frameworks for evaluating 75 00:03:00,330 --> 00:02:58,720 how much chemical energy there is in 76 00:03:02,430 --> 00:03:00,340 that environment so this is known as the 77 00:03:04,980 --> 00:03:02,440 chemical affinity number of kilojoules 78 00:03:06,690 --> 00:03:04,990 so that's energy content as a function 79 00:03:08,820 --> 00:03:06,700 of different geochemical conditions and 80 00:03:11,670 --> 00:03:08,830 we identified this as the sweet spot for 81 00:03:12,960 --> 00:03:11,680 Enceladus is ocean for Europa's ocean we 82 00:03:15,450 --> 00:03:12,970 have no idea so that's why we're very 83 00:03:17,820 --> 00:03:15,460 interested and this just makes the point 84 00:03:19,980 --> 00:03:17,830 that in addition to organic molecules 85 00:03:22,290 --> 00:03:19,990 and biomolecules we should also think 86 00:03:25,460 --> 00:03:22,300 very seriously about simpler molecules 87 00:03:28,199 --> 00:03:25,470 that could affect biological processes 88 00:03:31,710 --> 00:03:28,209 some aspects Orca is a collaboration 89 00:03:33,120 --> 00:03:31,720 between three institutions and so we I'm 90 00:03:34,470 --> 00:03:33,130 just going to show you schematically 91 00:03:36,449 --> 00:03:34,480 what the instrument entails and what 92 00:03:39,180 --> 00:03:36,459 we're hoping to build so we have a front 93 00:03:40,380 --> 00:03:39,190 end that's being developed by APL I hope 94 00:03:43,170 --> 00:03:40,390 they still have time to do this work 95 00:03:44,699 --> 00:03:43,180 after winning that contract and then we 96 00:03:47,610 --> 00:03:44,709 also have the University of Michigan 97 00:03:48,780 --> 00:03:47,620 who's building a GC device and I'll get 98 00:03:51,150 --> 00:03:48,790 into this this is a really cool 99 00:03:53,220 --> 00:03:51,160 development and then lastly the detector 100 00:03:55,320 --> 00:03:53,230 is a mass spectrometer so I'm going to 101 00:03:57,180 --> 00:03:55,330 mainly talk about the swery mass 102 00:03:59,490 --> 00:03:57,190 spectrometer known as mass pecks 103 00:04:01,710 --> 00:03:59,500 but we also have a different option that 104 00:04:04,199 --> 00:04:01,720 we're investigating from the University 105 00:04:06,060 --> 00:04:04,209 of Bern known as a neutral gas mass 106 00:04:08,430 --> 00:04:06,070 spectrometer and so we value ating the 107 00:04:10,380 --> 00:04:08,440 trade because Murray's math specs is 108 00:04:12,620 --> 00:04:10,390 very souped up and it's very capable but 109 00:04:15,090 --> 00:04:12,630 it's more costly in terms of spacecraft 110 00:04:17,039 --> 00:04:15,100 resources and then the bern instrument 111 00:04:19,050 --> 00:04:17,049 is our lower resource options we're 112 00:04:22,340 --> 00:04:19,060 trying to assess the resource 113 00:04:24,810 --> 00:04:22,350 requirements versus a science payoff 114 00:04:27,000 --> 00:04:24,820 just to kind of set the context and 115 00:04:28,650 --> 00:04:27,010 peter did a good job on this tip in very 116 00:04:30,719 --> 00:04:28,660 simple terms I think we're going to be 117 00:04:32,940 --> 00:04:30,729 faced with this inconvenient truth about 118 00:04:34,320 --> 00:04:32,950 Europa and other ocean worlds that 119 00:04:36,030 --> 00:04:34,330 they're probably going to be impure 120 00:04:38,010 --> 00:04:36,040 bodies hosting 121 00:04:40,890 --> 00:04:38,020 phlex mixtures if we look at meteorites 122 00:04:42,570 --> 00:04:40,900 or natural water natural waters on the 123 00:04:44,420 --> 00:04:42,580 surface of the earth is a guide so we're 124 00:04:46,740 --> 00:04:44,430 not going to have like one amino acid 125 00:04:48,600 --> 00:04:46,750 encased in ice and be able to quantify 126 00:04:50,940 --> 00:04:48,610 detection limits in that way we have to 127 00:04:54,960 --> 00:04:50,950 figure out some way to handle complex 128 00:04:56,610 --> 00:04:54,970 mixtures of various substances and how 129 00:04:59,550 --> 00:04:56,620 we do this this just kind of shows you a 130 00:05:01,710 --> 00:04:59,560 flowchart of how the front end of Orca 131 00:05:04,110 --> 00:05:01,720 is designed to work so you can imagine 132 00:05:05,870 --> 00:05:04,120 you start with a mixture of all sorts of 133 00:05:09,240 --> 00:05:05,880 interesting things like salt water 134 00:05:11,130 --> 00:05:09,250 different gasses organics refractory or 135 00:05:12,960 --> 00:05:11,140 light organics and then you have to find 136 00:05:15,330 --> 00:05:12,970 a way to methought systematically 137 00:05:17,160 --> 00:05:15,340 simplify the mixture and analyze them so 138 00:05:19,050 --> 00:05:17,170 that's what we're developing to do so 139 00:05:21,180 --> 00:05:19,060 you can start with this horrible mixture 140 00:05:22,890 --> 00:05:21,190 it's very interesting you can do a first 141 00:05:25,020 --> 00:05:22,900 step where you melt the ice and then you 142 00:05:27,510 --> 00:05:25,030 can purge the headspace you can analyze 143 00:05:29,040 --> 00:05:27,520 some volatile so that's step one then 144 00:05:30,840 --> 00:05:29,050 the next step you can envision start 145 00:05:33,870 --> 00:05:30,850 heating this mixture up that's leftover 146 00:05:35,010 --> 00:05:33,880 and you can drive away the water you can 147 00:05:36,900 --> 00:05:35,020 drive off some of the lighter 148 00:05:39,960 --> 00:05:36,910 hydrocarbons like the gasoline type 149 00:05:41,970 --> 00:05:39,970 hydrocarbons analyze those with a GC and 150 00:05:43,650 --> 00:05:41,980 a mass spec and then we were doing this 151 00:05:45,990 --> 00:05:43,660 other development I'll detail the next 152 00:05:48,270 --> 00:05:46,000 slide we're exploring options for how 153 00:05:50,820 --> 00:05:48,280 we'd analyze amino acids using things 154 00:05:53,840 --> 00:05:50,830 like derivatives a ssin and salt removal 155 00:05:55,890 --> 00:05:53,850 and the final part of this process 156 00:05:57,450 --> 00:05:55,900 leverages some of the development that 157 00:05:58,830 --> 00:05:57,460 people have done in the past like the 158 00:06:01,080 --> 00:05:58,840 sam investigation where you just start 159 00:06:03,180 --> 00:06:01,090 baking this stuff and then you can break 160 00:06:04,920 --> 00:06:03,190 off different pieces of this complex 161 00:06:07,170 --> 00:06:04,930 organic material and you can learn 162 00:06:10,320 --> 00:06:07,180 something about its chemical character 163 00:06:13,260 --> 00:06:10,330 which is really useful to know here's 164 00:06:15,210 --> 00:06:13,270 the wet lab desalination ship so why we 165 00:06:17,250 --> 00:06:15,220 think this is so useful and important is 166 00:06:19,800 --> 00:06:17,260 because if you have a lot of salts like 167 00:06:22,260 --> 00:06:19,810 which just recently rediscovered just a 168 00:06:24,180 --> 00:06:22,270 couple weeks ago they can interfere with 169 00:06:26,490 --> 00:06:24,190 chemical derivatives ation reactions 170 00:06:29,040 --> 00:06:26,500 which make a meet amino acids amina bowl 171 00:06:30,630 --> 00:06:29,050 - GC analysis so gotta figure out a way 172 00:06:32,820 --> 00:06:30,640 to deal with salts and what we're 173 00:06:35,490 --> 00:06:32,830 developing an APL has been building this 174 00:06:38,790 --> 00:06:35,500 device is you can imagine you start with 175 00:06:41,370 --> 00:06:38,800 a mixture of water salts and amino acids 176 00:06:42,900 --> 00:06:41,380 and then they have an exchange resin so 177 00:06:45,180 --> 00:06:42,910 when you flush this solution through 178 00:06:47,640 --> 00:06:45,190 there what happens is the amino acids 179 00:06:49,470 --> 00:06:47,650 stick to the resin and the salts get 180 00:06:51,510 --> 00:06:49,480 flushed out into the waste 181 00:06:53,730 --> 00:06:51,520 and then you do a subsequent illusion 182 00:06:55,860 --> 00:06:53,740 with ammonium hydroxide and that can 183 00:06:57,780 --> 00:06:55,870 pull out the amino acids so that's a way 184 00:07:00,030 --> 00:06:57,790 to do the separation and this figure 185 00:07:01,680 --> 00:07:00,040 here just shows a lab demonstration of 186 00:07:04,110 --> 00:07:01,690 how that works so you have a calcium 187 00:07:06,390 --> 00:07:04,120 chloride brine you start flushing it 188 00:07:08,550 --> 00:07:06,400 through the amino acid sticks to the 189 00:07:10,200 --> 00:07:08,560 resin the calcium chloride just goes 190 00:07:12,240 --> 00:07:10,210 straight through perfectly happy and 191 00:07:17,370 --> 00:07:12,250 then you do the ammonium hydroxide wash 192 00:07:18,480 --> 00:07:17,380 and oh and you see tryptophan this is I 193 00:07:20,640 --> 00:07:18,490 think this is one of the really cool 194 00:07:22,710 --> 00:07:20,650 things I'm willing to risk my neck but 195 00:07:24,780 --> 00:07:22,720 this could be the future of GC for 196 00:07:27,030 --> 00:07:24,790 spaceflight missions so you might have 197 00:07:29,040 --> 00:07:27,040 dealt with GC in the laboratory that's 198 00:07:31,440 --> 00:07:29,050 like these horrible metal coils and 199 00:07:33,360 --> 00:07:31,450 cages and it's wrapped around there and 200 00:07:33,840 --> 00:07:33,370 it takes a lot of space it's difficult 201 00:07:36,480 --> 00:07:33,850 to handle 202 00:07:38,130 --> 00:07:36,490 well what we're developing is a micro 203 00:07:39,780 --> 00:07:38,140 device chief see so you can see here 204 00:07:42,600 --> 00:07:39,790 these are dimensions it's on the order 205 00:07:44,610 --> 00:07:42,610 of centimeters or inches and the column 206 00:07:47,490 --> 00:07:44,620 is actually etched on a silicon chip 207 00:07:49,680 --> 00:07:47,500 right there so this is a column that's 208 00:07:51,240 --> 00:07:49,690 actually 10 meters long but it doesn't 209 00:07:53,280 --> 00:07:51,250 take up ten meters of space it's 210 00:07:55,320 --> 00:07:53,290 actually really small and nice to use 211 00:07:57,510 --> 00:07:55,330 and so what you actually do is you pump 212 00:07:59,220 --> 00:07:57,520 in a sample that goes through a pre 213 00:08:00,930 --> 00:07:59,230 concentrator so you get a nice plug of 214 00:08:03,390 --> 00:08:00,940 organics and then you thermally desorb 215 00:08:05,580 --> 00:08:03,400 it through this column and then you can 216 00:08:07,140 --> 00:08:05,590 do analysis so we have one option where 217 00:08:10,110 --> 00:08:07,150 you could do an alternative analysis 218 00:08:12,870 --> 00:08:10,120 with a micro photo ionization detector 219 00:08:15,450 --> 00:08:12,880 or we can also just go directly into the 220 00:08:17,610 --> 00:08:15,460 mass spec and our lab model we just plug 221 00:08:19,590 --> 00:08:17,620 in a USB Drive directly into a data 222 00:08:22,020 --> 00:08:19,600 acquisition board and we start getting 223 00:08:24,780 --> 00:08:22,030 some data here's some data we've 224 00:08:26,520 --> 00:08:24,790 collected with the IC to investigation 225 00:08:28,980 --> 00:08:26,530 so this is just a really simple mixture 226 00:08:32,400 --> 00:08:28,990 to demonstrate the proof-of-concept so 227 00:08:34,260 --> 00:08:32,410 we just did a quick isothermal and some 228 00:08:36,540 --> 00:08:34,270 temperature wrap ramping shown here and 229 00:08:38,700 --> 00:08:36,550 then in a span of like two minutes 230 00:08:40,589 --> 00:08:38,710 you're able to separate these simple 231 00:08:42,659 --> 00:08:40,599 hydrocarbons from pentane to no-name 232 00:08:44,100 --> 00:08:42,669 pretty effectively with this small 233 00:08:46,170 --> 00:08:44,110 device so we're feeling pretty 234 00:08:50,640 --> 00:08:46,180 optimistic that this might have some 235 00:08:52,410 --> 00:08:50,650 promise what's to come so the really 236 00:08:55,170 --> 00:08:52,420 cool thing is you can actually then add 237 00:08:57,120 --> 00:08:55,180 additional columns on the same silicon 238 00:08:58,800 --> 00:08:57,130 chip so you have the first GC column 239 00:09:00,690 --> 00:08:58,810 like we all know and it gives you all 240 00:09:02,319 --> 00:09:00,700 these peaks and you can add a second 241 00:09:04,449 --> 00:09:02,329 column after that 242 00:09:06,129 --> 00:09:04,459 and it adds greater ability to separate 243 00:09:08,289 --> 00:09:06,139 because you can use different types of 244 00:09:10,569 --> 00:09:08,299 stationary phases so the first stage you 245 00:09:12,759 --> 00:09:10,579 could use like a nonpolar column then 246 00:09:14,859 --> 00:09:12,769 here you can use a polar column and you 247 00:09:17,169 --> 00:09:14,869 can pick different chiral columns so 248 00:09:19,419 --> 00:09:17,179 there's a lot of flexibility for tuning 249 00:09:20,859 --> 00:09:19,429 this two different types of analytes so 250 00:09:23,259 --> 00:09:20,869 we're really excited about that and 251 00:09:25,539 --> 00:09:23,269 here's some demonstration of what our 252 00:09:27,429 --> 00:09:25,549 Michigan team had done previously where 253 00:09:30,009 --> 00:09:27,439 they just took a mixture of 50 volatile 254 00:09:31,600 --> 00:09:30,019 organic compounds and you can see since 255 00:09:33,939 --> 00:09:31,610 it having Peaks yeah you actually get 256 00:09:35,650 --> 00:09:33,949 these little spots in two dimensions and 257 00:09:38,379 --> 00:09:35,660 what's nice about it is some of these 258 00:09:40,090 --> 00:09:38,389 spots are the same horizontal distance 259 00:09:41,949 --> 00:09:40,100 away so if you had a one dimensional 260 00:09:44,289 --> 00:09:41,959 chromatogram they would fall on top of 261 00:09:45,789 --> 00:09:44,299 each other and not be separated but if 262 00:09:47,229 --> 00:09:45,799 you have the second dimension then you 263 00:09:49,689 --> 00:09:47,239 can actually pull them away from each 264 00:09:51,119 --> 00:09:49,699 other and do a nice clean quantitative 265 00:09:54,999 --> 00:09:51,129 analysis 266 00:09:57,129 --> 00:09:55,009 here's math specs I love math specs math 267 00:09:58,780 --> 00:09:57,139 specs is being developed for Europa 268 00:10:00,579 --> 00:09:58,790 clipper so it's leveraging that heritage 269 00:10:02,769 --> 00:10:00,589 what we're really hoping to do is 270 00:10:04,660 --> 00:10:02,779 provide the local scale information to 271 00:10:06,579 --> 00:10:04,670 complement what clipper is going to tell 272 00:10:07,960 --> 00:10:06,589 us from the global perspective using the 273 00:10:10,689 --> 00:10:07,970 same instrument so it's a nice way to 274 00:10:12,639 --> 00:10:10,699 compare and contrast that mass spec 275 00:10:14,559 --> 00:10:12,649 needle up to a thousand atomic mass 276 00:10:17,739 --> 00:10:14,569 units it has a lot of flexibility for 277 00:10:21,639 --> 00:10:17,749 looking at small things or big things it 278 00:10:24,100 --> 00:10:21,649 can go up to 50,000 resolution M to 279 00:10:26,590 --> 00:10:24,110 Delta M so you can pull apart a lot of 280 00:10:28,720 --> 00:10:26,600 things that are very similar in mass and 281 00:10:31,090 --> 00:10:28,730 what we're hoping for this to be is a 282 00:10:34,539 --> 00:10:31,100 pathfinder for isotope biogeochemistry 283 00:10:36,309 --> 00:10:34,549 on the surface of icy worlds and i kind 284 00:10:38,799 --> 00:10:36,319 of show you how this works so this is a 285 00:10:41,319 --> 00:10:38,809 famous plot in geochemistry showing how 286 00:10:44,829 --> 00:10:41,329 you can organize the origin of methane 287 00:10:46,449 --> 00:10:44,839 based on carbon and hydrogen isotopes 288 00:10:49,269 --> 00:10:46,459 and there seems to be certain regimes 289 00:10:51,879 --> 00:10:49,279 that separate abiotic versus biotic 290 00:10:54,159 --> 00:10:51,889 gases so we're trying to use these kinds 291 00:10:56,650 --> 00:10:54,169 of empirical rules and rules based on 292 00:10:58,449 --> 00:10:56,660 physical chemistry and then trying to 293 00:11:00,340 --> 00:10:58,459 compare that to the data on Europa which 294 00:11:02,139 --> 00:11:00,350 we don't yet have so this is I think 295 00:11:05,259 --> 00:11:02,149 this is a nice path forward for this 296 00:11:07,629 --> 00:11:05,269 type of isotope work why you need high 297 00:11:09,639 --> 00:11:07,639 resolution so the classic case that 298 00:11:12,009 --> 00:11:09,649 we've struggled with with Cassini it's 299 00:11:14,199 --> 00:11:12,019 separating things like CEO for men - 300 00:11:15,760 --> 00:11:14,209 they have a nominal mass of 28 so 301 00:11:17,770 --> 00:11:15,770 Cassini 302 00:11:18,940 --> 00:11:17,780 we have big problems there but with math 303 00:11:20,740 --> 00:11:18,950 specs you can see in this lab 304 00:11:22,990 --> 00:11:20,750 demonstration we're nicely able to pull 305 00:11:25,510 --> 00:11:23,000 apart those Peaks and to discriminate 306 00:11:27,220 --> 00:11:25,520 between CO and n2 and this is really 307 00:11:29,440 --> 00:11:27,230 important so if you want to fill in that 308 00:11:33,010 --> 00:11:29,450 methane isotope plot well you need to 309 00:11:35,710 --> 00:11:33,020 measure both 13c methane and deuterated 310 00:11:37,780 --> 00:11:35,720 methane those both have a mass of 17 so 311 00:11:39,400 --> 00:11:37,790 that's a problem unless you have high 312 00:11:41,650 --> 00:11:39,410 resolution if you have high resolution 313 00:11:44,170 --> 00:11:41,660 it's great because these species 314 00:11:46,600 --> 00:11:44,180 actually defer at some of the decimal 315 00:11:48,310 --> 00:11:46,610 place level of mass so we like to think 316 00:11:52,090 --> 00:11:48,320 of decimal places as our friend from 317 00:11:54,040 --> 00:11:52,100 aspects and I mentioned organics our 318 00:11:56,890 --> 00:11:54,050 great interest too so here's some data 319 00:11:58,570 --> 00:11:56,900 we've generated from ic2 so far so this 320 00:12:01,660 --> 00:11:58,580 is a standard mixture called Grob 321 00:12:03,670 --> 00:12:01,670 mixture contains a suite of nonpolar or 322 00:12:05,850 --> 00:12:03,680 weakly puller organics so the examples 323 00:12:08,440 --> 00:12:05,860 I'm showing here are one octanol and 324 00:12:11,200 --> 00:12:08,450 decane this is what the manufacturer 325 00:12:13,630 --> 00:12:11,210 sends to us this is the mass specs data 326 00:12:15,850 --> 00:12:13,640 so we're able to reproduce with similar 327 00:12:18,730 --> 00:12:15,860 efficiency what you can do in the 328 00:12:20,410 --> 00:12:18,740 conventional laboratory here's what the 329 00:12:22,870 --> 00:12:20,420 mass spectra looked like so these are 330 00:12:24,640 --> 00:12:22,880 from NIST these little stick figures and 331 00:12:27,550 --> 00:12:24,650 mass effects is able to produce 332 00:12:30,460 --> 00:12:27,560 comparable stick figures over a wide 333 00:12:32,410 --> 00:12:30,470 range of mass and we've just started 334 00:12:33,670 --> 00:12:32,420 working on some quantitative analysis 335 00:12:36,190 --> 00:12:33,680 this just shows some of these 336 00:12:38,020 --> 00:12:36,200 calibration curves we've generated as a 337 00:12:39,640 --> 00:12:38,030 function of concentration and then the 338 00:12:41,830 --> 00:12:39,650 peak areas that I showed in the previous 339 00:12:43,870 --> 00:12:41,840 slide so it's looking pretty promising 340 00:12:46,150 --> 00:12:43,880 but we'd like to improve this in the 341 00:12:48,130 --> 00:12:46,160 next year or so by starting to use 342 00:12:49,990 --> 00:12:48,140 internal standards based on fluorinated 343 00:12:51,280 --> 00:12:50,000 compounds for instance and then 344 00:12:53,170 --> 00:12:51,290 extending these to even lower 345 00:12:56,080 --> 00:12:53,180 concentrations which some people might 346 00:12:57,700 --> 00:12:56,090 expect for the surface of europa and 347 00:13:03,120 --> 00:12:57,710 with that I will open up for any 348 00:13:13,960 --> 00:13:06,790 any questions for Chris yeah come use 349 00:13:15,880 --> 00:13:13,970 the mic quickly so the column on the 350 00:13:18,370 --> 00:13:15,890 silicon chip is really cool it's very 351 00:13:20,230 --> 00:13:18,380 innovative 1/8 but even looking at low 352 00:13:22,810 --> 00:13:20,240 masses one of the big things that makes 353 00:13:24,820 --> 00:13:22,820 a GC heavy and big is the oven part 354 00:13:26,050 --> 00:13:24,830 right and you need it for baked outs to 355 00:13:27,970 --> 00:13:26,060 make sure you keep your column clean so 356 00:13:29,200 --> 00:13:27,980 then what's the temperature what's the 357 00:13:30,940 --> 00:13:29,210 high temperature you can get to with the 358 00:13:33,730 --> 00:13:30,950 chip column the high temperature I think 359 00:13:37,260 --> 00:13:33,740 is around 350 degrees Celsius yeah 360 00:13:43,930 --> 00:13:42,040 anything else go for it 361 00:13:45,700 --> 00:13:43,940 so do you guys have have you been able 362 00:13:48,280 --> 00:13:45,710 to measure any changes in flow rate 363 00:13:51,160 --> 00:13:48,290 along this kind of more circuitous path 364 00:13:53,500 --> 00:13:51,170 I don't know what maybe the University 365 00:13:55,630 --> 00:13:53,510 of Michigan team has but we have haven't 366 00:13:57,670 --> 00:13:55,640 had that test with math specs yet so 367 00:13:59,710 --> 00:13:57,680 what we're hoping to do with ic2 is we 368 00:14:01,360 --> 00:13:59,720 want to interface them together and then 369 00:14:03,370 --> 00:14:01,370 test for these various organic mixtures 370 00:14:08,340 --> 00:14:03,380 so we'll have those data hopefully next