1 00:00:00,240 --> 00:00:10,910 [Music] 2 00:00:15,600 --> 00:00:13,110 today I'm going to be talking about a 3 00:00:18,529 --> 00:00:15,610 possible new level planetary bio 4 00:00:21,329 --> 00:00:18,539 signature my you see the in situ 5 00:00:25,919 --> 00:00:21,339 isotopic and elemental analysis of 6 00:00:28,560 --> 00:00:25,929 pyrite so first I want to start out by 7 00:00:30,479 --> 00:00:28,570 talking just a little bit about Mars so 8 00:00:33,869 --> 00:00:30,489 Mars is our neighboring planet and in 9 00:00:37,349 --> 00:00:33,879 many ways is the most similar to us from 10 00:00:41,040 --> 00:00:37,359 past missions we have gotten a lot of 11 00:00:43,110 --> 00:00:41,050 evidence about how Mars was habitable in 12 00:00:46,229 --> 00:00:43,120 the past so about three to four billion 13 00:00:48,029 --> 00:00:46,239 years ago we have evidence that Mars 14 00:00:50,520 --> 00:00:48,039 could have been habitable we have 15 00:00:53,130 --> 00:00:50,530 evidence of large bodies of waters just 16 00:00:56,669 --> 00:00:53,140 flowing on Mars and it's very curious 17 00:00:58,470 --> 00:00:56,679 because at the same time period the 18 00:01:01,380 --> 00:00:58,480 earth was experiencing very similar 19 00:01:03,419 --> 00:01:01,390 conditions and we also know that during 20 00:01:05,999 --> 00:01:03,429 three to four billion years ago that's 21 00:01:09,149 --> 00:01:06,009 when light started to emerge here on 22 00:01:11,039 --> 00:01:09,159 earth so if we know that that's why one 23 00:01:14,130 --> 00:01:11,049 of the biggest questions right now is 24 00:01:17,190 --> 00:01:14,140 was there ever life on Mars that life 25 00:01:20,730 --> 00:01:17,200 ever emerged on Mars and so that's why 26 00:01:23,460 --> 00:01:20,740 the upcoming missions are seeking signs 27 00:01:26,429 --> 00:01:23,470 of past life we have for example the 28 00:01:29,429 --> 00:01:26,439 Mars 2020 Rover in the ExoMars 2020 29 00:01:33,899 --> 00:01:29,439 Rovers which main mission is to speak 30 00:01:36,569 --> 00:01:33,909 signs of past life I am very excited 31 00:01:38,510 --> 00:01:36,579 about the Mars 2020 Rover this mission 32 00:01:40,859 --> 00:01:38,520 particularly because with this mission 33 00:01:42,959 --> 00:01:40,869 we can have the upcoming mission of 34 00:01:45,120 --> 00:01:42,969 sample return and I'm very optimistic 35 00:01:47,120 --> 00:01:45,130 about that one even though we still 36 00:01:49,350 --> 00:01:47,130 don't have a launch date for that one 37 00:01:52,350 --> 00:01:49,360 but I'm optimistic that it will happen 38 00:01:55,200 --> 00:01:52,360 it will be also more get Martian samples 39 00:01:57,480 --> 00:01:55,210 here and we're gonna be able to study 40 00:01:59,340 --> 00:01:57,490 them analyze them run them through every 41 00:02:02,990 --> 00:01:59,350 single study we can and try to find out 42 00:02:05,520 --> 00:02:03,000 if there was ever life on Mars and 43 00:02:09,080 --> 00:02:05,530 besides that there are proposed future 44 00:02:12,040 --> 00:02:09,090 missions for human exploration and NASA 45 00:02:15,020 --> 00:02:12,050 ESA 46 00:02:18,230 --> 00:02:15,030 china-russia they all have put forward 47 00:02:19,700 --> 00:02:18,240 proposals for human exploration and even 48 00:02:21,470 --> 00:02:19,710 though right now it's a little bit 49 00:02:24,290 --> 00:02:21,480 controversial whether we want humans 50 00:02:26,690 --> 00:02:24,300 walking on mars given the fact that so 51 00:02:29,810 --> 00:02:26,700 many space agencies are to put forward 52 00:02:32,180 --> 00:02:29,820 humans I'm also optimistic that it will 53 00:02:34,670 --> 00:02:32,190 happen in the near future because I'm 54 00:02:37,820 --> 00:02:34,680 bringing this up because there are so 55 00:02:40,700 --> 00:02:37,830 many missions that want to find signs of 56 00:02:43,670 --> 00:02:40,710 life but what if what would be a very 57 00:02:45,230 --> 00:02:43,680 convincing evidence of life that's 58 00:02:48,080 --> 00:02:45,240 something we need to think a lot about 59 00:02:50,750 --> 00:02:48,090 and so that brings me to talk about bio 60 00:02:52,880 --> 00:02:50,760 signatures so bio signatures are 61 00:02:56,060 --> 00:02:52,890 features whose presence or abundance can 62 00:02:58,670 --> 00:02:56,070 be attributed to life this diagram right 63 00:03:02,210 --> 00:02:58,680 here was actually produced by the Mars 64 00:03:04,280 --> 00:03:02,220 2020 team when they were writing their 65 00:03:06,320 --> 00:03:04,290 proposals and they did a lot of thinking 66 00:03:08,330 --> 00:03:06,330 about what are the bio signatures that 67 00:03:10,250 --> 00:03:08,340 we want to look at when we go through 68 00:03:12,200 --> 00:03:10,260 Mars what are the bio signatures that 69 00:03:15,830 --> 00:03:12,210 will tell us something whether life was 70 00:03:16,580 --> 00:03:15,840 there or not so for example they have 71 00:03:18,680 --> 00:03:16,590 organics 72 00:03:21,590 --> 00:03:18,690 so organic molecules that are 73 00:03:24,680 --> 00:03:21,600 representative of life macro structure 74 00:03:27,620 --> 00:03:24,690 so think of fossils stromatolites are a 75 00:03:29,960 --> 00:03:27,630 great example of this chemistry so 76 00:03:33,320 --> 00:03:29,970 chemical abundance of like an element a 77 00:03:37,970 --> 00:03:33,330 molecule something that is produced by 78 00:03:40,190 --> 00:03:37,980 biological processes minerals minerals 79 00:03:44,210 --> 00:03:40,200 that are formed through direct or 80 00:03:47,840 --> 00:03:44,220 indirect processes of life micro 81 00:03:51,680 --> 00:03:47,850 structures are micro fossils so think 82 00:03:53,990 --> 00:03:51,690 about biofilms for example and isotopes 83 00:03:57,080 --> 00:03:54,000 so isotope fractionation is mainly on 84 00:04:00,980 --> 00:03:57,090 stable isotopes that are produced by 85 00:04:03,199 --> 00:04:00,990 biological processes so these are all 86 00:04:05,330 --> 00:04:03,209 good candidates for good bio signatures 87 00:04:08,720 --> 00:04:05,340 however they all have their advantages 88 00:04:10,400 --> 00:04:08,730 and disadvantages organics for example 89 00:04:12,710 --> 00:04:10,410 the problem with them is that they 90 00:04:14,780 --> 00:04:12,720 cannot be preserved for many of many 91 00:04:16,849 --> 00:04:14,790 millions of years they were thinking of 92 00:04:19,580 --> 00:04:16,859 Mars for example where we expect life to 93 00:04:22,460 --> 00:04:19,590 if it was ever there it was probably 94 00:04:25,100 --> 00:04:22,470 there 3 billion years ago or a little 95 00:04:26,960 --> 00:04:25,110 more and so it's difficult to think that 96 00:04:30,400 --> 00:04:26,970 the organics have survived there even 97 00:04:33,890 --> 00:04:30,410 with a high radiation that Mars receives 98 00:04:36,440 --> 00:04:33,900 macro structures and micro structures 99 00:04:40,340 --> 00:04:36,450 have the same problem that they're very 100 00:04:41,840 --> 00:04:40,350 acceptable to false interpretation this 101 00:04:45,650 --> 00:04:41,850 is something that nASA has suffered a 102 00:04:48,290 --> 00:04:45,660 lot from something that people should 103 00:04:50,720 --> 00:04:48,300 try not to just see a rock and 104 00:04:53,720 --> 00:04:50,730 automatically assume that it's the 105 00:04:56,990 --> 00:04:53,730 stromatolite or microbial matter and so 106 00:04:58,610 --> 00:04:57,000 forth chemistry just by looking at the 107 00:05:01,160 --> 00:04:58,620 chemistry it doesn't really tell you 108 00:05:04,910 --> 00:05:01,170 much you need to couple it with other 109 00:05:10,130 --> 00:05:04,920 types of measurements isotopes is the 110 00:05:12,680 --> 00:05:10,140 same problem minerals minerals can be 111 00:05:14,840 --> 00:05:12,690 robust because they can be preserved for 112 00:05:16,909 --> 00:05:14,850 longer times they can be preserved for 113 00:05:19,310 --> 00:05:16,919 millions and maybe billions of years 114 00:05:21,890 --> 00:05:19,320 however the problem with them is that 115 00:05:24,590 --> 00:05:21,900 most of the minerals that are formed by 116 00:05:26,780 --> 00:05:24,600 biological processes they can also be 117 00:05:29,780 --> 00:05:26,790 formed by abiotic processes and so 118 00:05:31,580 --> 00:05:29,790 they're on ambiguous in that they're 119 00:05:35,960 --> 00:05:31,590 ambiguous sorry and that creates a 120 00:05:39,860 --> 00:05:35,970 problem um however I'm an inorganic 121 00:05:41,570 --> 00:05:39,870 geochemist and I love minerals and so 122 00:05:43,219 --> 00:05:41,580 that's why I think of a lot about 123 00:05:45,830 --> 00:05:43,229 minerals that can serve as a bio 124 00:05:49,100 --> 00:05:45,840 signature and my absolute favorite 125 00:05:51,890 --> 00:05:49,110 mineral is pyrite and so that's why my 126 00:05:56,180 --> 00:05:51,900 big question is can Pirates serve as a 127 00:05:59,120 --> 00:05:56,190 bio signature so here I just want to 128 00:06:01,310 --> 00:05:59,130 explain what is pyrite specifically what 129 00:06:04,570 --> 00:06:01,320 is sedimentary pyrite say I have a 130 00:06:08,000 --> 00:06:04,580 figure here of sediments we see this 131 00:06:09,860 --> 00:06:08,010 shiny thing that looks like gold but 132 00:06:14,150 --> 00:06:09,870 it's not don't be fooled by it 133 00:06:15,830 --> 00:06:14,160 this this is pyrite this picture here is 134 00:06:17,810 --> 00:06:15,840 kind of an odd picture usually in 135 00:06:20,659 --> 00:06:17,820 sediments we get from boiled high rates 136 00:06:22,100 --> 00:06:20,669 so these are like agglomeration so if 137 00:06:22,880 --> 00:06:22,110 microcrystalline pyre is in there 138 00:06:26,270 --> 00:06:22,890 spherical 139 00:06:28,550 --> 00:06:26,280 I couldn't find a high-resolution one so 140 00:06:32,679 --> 00:06:28,560 I just put this shiny one which I also 141 00:06:35,769 --> 00:06:32,689 like anyhow so sedimentary pies there 142 00:06:38,409 --> 00:06:35,779 sulphide minerals and the way that they 143 00:06:40,899 --> 00:06:38,419 form in the waters and in sediments is 144 00:06:43,749 --> 00:06:40,909 by the help of microbial sulfate 145 00:06:45,459 --> 00:06:43,759 reduction so these microbes they take 146 00:06:49,029 --> 00:06:45,469 the sulfate and they take the organic 147 00:06:50,619 --> 00:06:49,039 matter and they metabolize it and then 148 00:06:53,649 --> 00:06:50,629 they were just two hydrogen sulfide 149 00:06:57,909 --> 00:06:53,659 which eventually can become into pyrite 150 00:07:01,709 --> 00:06:57,919 and because of this because pyrite is 151 00:07:04,869 --> 00:07:01,719 iron sulfide sulfide is reducing species 152 00:07:07,089 --> 00:07:04,879 it is stable under anoxic conditions and 153 00:07:09,850 --> 00:07:07,099 so this has a lot of implications about 154 00:07:12,790 --> 00:07:09,860 reducing potentials in marine sediments 155 00:07:15,969 --> 00:07:12,800 that's why one of the reasons why pirate 156 00:07:19,419 --> 00:07:15,979 is used a lot for paleo environmental 157 00:07:22,269 --> 00:07:19,429 proxies a really cool thing about pyrite 158 00:07:24,879 --> 00:07:22,279 is that when pirate is flora mean it can 159 00:07:26,350 --> 00:07:24,889 incorporate trace elements that are in 160 00:07:28,689 --> 00:07:26,360 its surroundings so it just incorporates 161 00:07:30,399 --> 00:07:28,699 it into its chemical structure and it 162 00:07:32,350 --> 00:07:30,409 can lock them in and so when we're 163 00:07:34,379 --> 00:07:32,360 looking at pyrite we can look at the 164 00:07:37,179 --> 00:07:34,389 trace elements and get a good idea about 165 00:07:39,309 --> 00:07:37,189 the environmental condition when that 166 00:07:42,399 --> 00:07:39,319 pirate was for me 167 00:07:43,989 --> 00:07:42,409 likewise is an iron sulfide minerals so 168 00:07:46,679 --> 00:07:43,999 there's a lot of important implications 169 00:07:49,419 --> 00:07:46,689 about the biogeochemical so first cycle 170 00:07:51,639 --> 00:07:49,429 a lot of people like to study the sulfur 171 00:07:54,399 --> 00:07:51,649 isotopes because it's very robust you 172 00:07:57,279 --> 00:07:54,409 look at the so for fractionation between 173 00:07:59,799 --> 00:07:57,289 the sulfate the source and the pyrite 174 00:08:06,639 --> 00:07:59,809 and you can get some estimate about the 175 00:08:08,769 --> 00:08:06,649 biological effect and so then again so 176 00:08:11,079 --> 00:08:08,779 my question can pirates serve as a bio 177 00:08:13,389 --> 00:08:11,089 signature so here I have again the 178 00:08:14,919 --> 00:08:13,399 diagram that I just showed you this so 179 00:08:16,600 --> 00:08:14,929 we're just gonna go over what we just 180 00:08:21,129 --> 00:08:16,610 learned about pyrite to see if it really 181 00:08:22,689 --> 00:08:21,139 works as a bio signature so we know the 182 00:08:25,389 --> 00:08:22,699 sedimentary pyrite forms through 183 00:08:27,129 --> 00:08:25,399 microbial sulfate reduction so it is a 184 00:08:29,739 --> 00:08:27,139 mineral that forms through biological 185 00:08:35,350 --> 00:08:29,749 processes so then that checks out the 186 00:08:38,889 --> 00:08:35,360 mineral box so 34s and Powerade shows 187 00:08:41,799 --> 00:08:38,899 depletion from source and this is in 188 00:08:43,020 --> 00:08:41,809 part due to biology so the sulfur 189 00:08:45,150 --> 00:08:43,030 isotopes can be Valley 190 00:08:47,250 --> 00:08:45,160 well surfer if biology helped in 191 00:08:50,430 --> 00:08:47,260 producing pyrite so that checks the 192 00:08:52,920 --> 00:08:50,440 isotope box and as we just learned trace 193 00:08:54,360 --> 00:08:52,930 elements they get incorporated into the 194 00:08:57,000 --> 00:08:54,370 pyrite and they can track the 195 00:08:59,310 --> 00:08:57,010 biogeochemical conditions and so it 196 00:09:01,830 --> 00:08:59,320 checks out the chemistry box so out of 197 00:09:04,980 --> 00:09:01,840 all of the five boxes it checks three of 198 00:09:07,770 --> 00:09:04,990 them so that is very encouraging however 199 00:09:09,720 --> 00:09:07,780 this doesn't really tell us if it works 200 00:09:12,240 --> 00:09:09,730 as a bio signature it just tells us that 201 00:09:17,760 --> 00:09:12,250 we should work hard and try to find out 202 00:09:20,970 --> 00:09:17,770 if it does however a fair warning other 203 00:09:23,640 --> 00:09:20,980 pyro formation types exist so para 204 00:09:26,670 --> 00:09:23,650 doesn't only form in sediments it forms 205 00:09:28,350 --> 00:09:26,680 in hydrothermal deposits it formed 206 00:09:30,630 --> 00:09:28,360 through igneous processes and forms 207 00:09:34,320 --> 00:09:30,640 through magmatic policies metamorphism 208 00:09:36,630 --> 00:09:34,330 and so forth many people like to tell me 209 00:09:39,330 --> 00:09:36,640 like you can just get the pirate and 210 00:09:41,250 --> 00:09:39,340 know if it's igneous or if it's the 211 00:09:45,570 --> 00:09:41,260 matter worth it and so forth that is not 212 00:09:47,579 --> 00:09:45,580 true there's there's from boydle pirate 213 00:09:50,520 --> 00:09:47,589 it's thought to be only sedimentary and 214 00:09:55,050 --> 00:09:50,530 no it forms to hydrothermal metamorphic 215 00:09:56,850 --> 00:09:55,060 and igneous processes as well um and so 216 00:09:58,530 --> 00:09:56,860 we need to be very very careful because 217 00:10:01,050 --> 00:09:58,540 we if we go to another planetary body 218 00:10:02,760 --> 00:10:01,060 and we find pyrite that's not really 219 00:10:07,350 --> 00:10:02,770 telling us anything so we need to look 220 00:10:11,850 --> 00:10:07,360 more into its chemistry and so I did a 221 00:10:14,790 --> 00:10:11,860 pilot study where I got a lot of pirate 222 00:10:16,710 --> 00:10:14,800 rings from a lot of different places on 223 00:10:19,020 --> 00:10:16,720 earth this figure here shows the 224 00:10:23,310 --> 00:10:19,030 different places where we collected this 225 00:10:25,170 --> 00:10:23,320 pirate grains and we measured the trace 226 00:10:29,630 --> 00:10:25,180 element concentrations and the sulfur 227 00:10:33,800 --> 00:10:29,640 isotopes and so I created this 228 00:10:37,020 --> 00:10:33,810 classifier that could differentiate 229 00:10:39,390 --> 00:10:37,030 pirate formation types my question was 230 00:10:44,370 --> 00:10:39,400 like could we differentiate them using a 231 00:10:46,860 --> 00:10:44,380 classifier and so currently we can just 232 00:10:48,270 --> 00:10:46,870 define what is biological and what is 233 00:10:52,020 --> 00:10:48,280 abiotic Oh 234 00:10:53,129 --> 00:10:52,030 abiotic in pirate so I try to classify 235 00:10:55,559 --> 00:10:53,139 them in turn 236 00:10:58,049 --> 00:10:55,569 formation types so try to classify them 237 00:11:11,309 --> 00:10:58,059 between sedimentary hydrothermal and 238 00:11:14,639 --> 00:11:11,319 metamorphic oh wait it's a big image 239 00:11:18,539 --> 00:11:14,649 okay so data acquisition how do I get my 240 00:11:21,470 --> 00:11:18,549 data so if we're sulfur isotopes I use 241 00:11:25,679 --> 00:11:21,480 Simms secondary ion mass spectrometer 242 00:11:28,799 --> 00:11:25,689 this is me working in Washington 243 00:11:31,879 --> 00:11:28,809 University in st. Louis and David Fikes 244 00:11:37,019 --> 00:11:31,889 lab this is the Simpson strim --nt and 245 00:11:40,889 --> 00:11:37,029 so this is all done in situ so I get the 246 00:11:44,340 --> 00:11:40,899 grains and I decide which targets I want 247 00:11:46,799 --> 00:11:44,350 to measure and so this has a laser it 248 00:11:49,799 --> 00:11:46,809 just snaps through it so this is a 249 00:11:51,689 --> 00:11:49,809 representation of what we do this is an 250 00:11:54,599 --> 00:11:51,699 80s image of a hydro thermal pressure 251 00:11:57,629 --> 00:11:54,609 rock sample the mustard color here is 252 00:12:00,179 --> 00:11:57,639 pyrite and maybe we can just look at 253 00:12:04,799 --> 00:12:00,189 this zooms in image here these black 254 00:12:06,689 --> 00:12:04,809 spots are the the spot selections where 255 00:12:09,989 --> 00:12:06,699 we sat through it and got these sulfur 256 00:12:11,999 --> 00:12:09,999 isotopes data so we always do a transect 257 00:12:14,729 --> 00:12:12,009 we do a transit because we want to see 258 00:12:16,169 --> 00:12:14,739 the evolution of the pyrite growing for 259 00:12:18,569 --> 00:12:16,179 example from here we can tell that the 260 00:12:20,100 --> 00:12:18,579 Pirates started growing here and then it 261 00:12:21,900 --> 00:12:20,110 started spreading out and so we wanted 262 00:12:25,289 --> 00:12:21,910 to track that evolution and get the 263 00:12:27,929 --> 00:12:25,299 silver eyes it's a data from it for 264 00:12:30,419 --> 00:12:27,939 trace elements in pyrite we use a very 265 00:12:33,049 --> 00:12:30,429 similar method this one is called laser 266 00:12:35,999 --> 00:12:33,059 ablation inductively coupled plasma mass 267 00:12:39,210 --> 00:12:36,009 spectrometer it works in the very 268 00:12:41,699 --> 00:12:39,220 similar fashion is also in situ it uses 269 00:12:44,069 --> 00:12:41,709 a laser as well you select the target 270 00:12:46,499 --> 00:12:44,079 spots you always want to use the same 271 00:12:47,879 --> 00:12:46,509 target spot you stop through it and then 272 00:12:51,379 --> 00:12:47,889 you get multiple trace elements 273 00:12:54,299 --> 00:12:51,389 measurements the good thing about the 274 00:12:55,170 --> 00:12:54,309 instrument that we use is that it has an 275 00:12:57,330 --> 00:12:55,180 automated 276 00:13:00,870 --> 00:12:57,340 element mapping so as you can see from 277 00:13:02,880 --> 00:13:00,880 this image here we can get the we can 278 00:13:05,430 --> 00:13:02,890 get a map of where these trace elements 279 00:13:08,580 --> 00:13:05,440 are in our sample and that's very 280 00:13:14,340 --> 00:13:08,590 helpful for trying to interpret how 281 00:13:16,770 --> 00:13:14,350 these trace elements get incorporated so 282 00:13:19,710 --> 00:13:16,780 as I mentioned I am using a statistical 283 00:13:21,420 --> 00:13:19,720 classification I use random forests 284 00:13:24,690 --> 00:13:21,430 which is a supervised machine learning 285 00:13:27,120 --> 00:13:24,700 algorithm unfortunately I don't really 286 00:13:28,980 --> 00:13:27,130 have time to explain how I do this 287 00:13:30,630 --> 00:13:28,990 classification but if anyone's 288 00:13:33,750 --> 00:13:30,640 interested in learning just let me know 289 00:13:36,720 --> 00:13:33,760 I know a really easy software that you 290 00:13:39,450 --> 00:13:36,730 don't need any data science background 291 00:13:44,280 --> 00:13:39,460 so it's really good so what we did we 292 00:13:48,510 --> 00:13:44,290 did we collect about 400 stains our 293 00:13:51,120 --> 00:13:48,520 variables we use 11 features so we use 294 00:13:54,960 --> 00:13:51,130 10 trees elements of them by essential 295 00:13:58,890 --> 00:13:54,970 elements and we use Delta 34 s as the 296 00:14:01,710 --> 00:13:58,900 isotope our classification I trained the 297 00:14:03,540 --> 00:14:01,720 classifier to distinguish between 298 00:14:06,540 --> 00:14:03,550 information types so sedimentary 299 00:14:08,550 --> 00:14:06,550 hydrothermal metamorphic this is an 300 00:14:10,740 --> 00:14:08,560 example of one of the experiments that I 301 00:14:13,590 --> 00:14:10,750 made this is only one decision tree out 302 00:14:16,740 --> 00:14:13,600 of the 500 that I usually do and it just 303 00:14:20,090 --> 00:14:16,750 shows how it how the tree branches 304 00:14:22,740 --> 00:14:20,100 itself as it starts as it starts 305 00:14:25,980 --> 00:14:22,750 classifying them into their distinguish 306 00:14:32,340 --> 00:14:25,990 formation type so these are the results 307 00:14:36,090 --> 00:14:32,350 from a pilot study so I here I'm showing 308 00:14:38,220 --> 00:14:36,100 three different experiments the first 309 00:14:40,190 --> 00:14:38,230 one was only looking at trace elements 310 00:14:42,540 --> 00:14:40,200 without looking at sulfur isotopes 311 00:14:44,940 --> 00:14:42,550 second one was only looking at sulfur 312 00:14:46,590 --> 00:14:44,950 isotopes without trace elements and the 313 00:14:49,350 --> 00:14:46,600 third one looking at trace elements and 314 00:14:52,740 --> 00:14:49,360 sulfur isotopes together what we're in 315 00:14:54,150 --> 00:14:52,750 here are a confusion matrices and yeah 316 00:14:56,520 --> 00:14:54,160 we're pretty confusing and so we're not 317 00:14:59,580 --> 00:14:56,530 going to go over them now but what I 318 00:15:03,570 --> 00:14:59,590 want you guys to notice is the accuracy 319 00:15:05,760 --> 00:15:03,580 of them so what we can see is that when 320 00:15:07,000 --> 00:15:05,770 we coupled both trace elements and 321 00:15:10,480 --> 00:15:07,010 sulfur isotopes together 322 00:15:13,180 --> 00:15:10,490 is when we get the highest accuracy so 323 00:15:15,250 --> 00:15:13,190 that's very encouraging however for the 324 00:15:18,819 --> 00:15:15,260 sulfur isotopes the Icarus II was fairly 325 00:15:21,009 --> 00:15:18,829 low and things of course makes sense if 326 00:15:23,350 --> 00:15:21,019 you go back to Becky's talk when she was 327 00:15:26,319 --> 00:15:23,360 talking about like geologic time scale 328 00:15:28,120 --> 00:15:26,329 and all the different the different 329 00:15:30,180 --> 00:15:28,130 chemistry that existed throughout time 330 00:15:33,519 --> 00:15:30,190 it does make sense that sulfur isotopes 331 00:15:35,889 --> 00:15:33,529 will vary like thing I forgot to mention 332 00:15:37,720 --> 00:15:35,899 but my pirate grades third throughout 333 00:15:40,689 --> 00:15:37,730 geologic time so I have from the our 334 00:15:43,090 --> 00:15:40,699 camp Proterra soy vanilla throughout all 335 00:15:45,579 --> 00:15:43,100 of geologic time so of course they will 336 00:15:49,150 --> 00:15:45,589 bury however traits elements they did a 337 00:15:51,129 --> 00:15:49,160 very good job and we were surprised this 338 00:15:53,460 --> 00:15:51,139 we really didn't understand why he was 339 00:15:56,350 --> 00:15:53,470 doing such a great job so moving forward 340 00:15:59,019 --> 00:15:56,360 these are all Asian samples we wanted to 341 00:16:01,600 --> 00:15:59,029 really understand how it is that trace 342 00:16:03,400 --> 00:16:01,610 elements in sulfur isotopes how they get 343 00:16:06,519 --> 00:16:03,410 incorporated into pirate and not only 344 00:16:11,319 --> 00:16:06,529 that but how diagenesis affect that 345 00:16:14,850 --> 00:16:11,329 original signature and so that is what 346 00:16:17,920 --> 00:16:14,860 we're doing now we I am collecting 347 00:16:20,199 --> 00:16:17,930 samples from all of these sites the ones 348 00:16:22,449 --> 00:16:20,209 in greens are sites that I've already 349 00:16:25,530 --> 00:16:22,459 collected samples from the ones in red 350 00:16:28,509 --> 00:16:25,540 are the ones that I still have to go to 351 00:16:31,379 --> 00:16:28,519 Black Sea is the classic extended site 352 00:16:35,110 --> 00:16:31,389 there's a lot of studies on this area 353 00:16:39,189 --> 00:16:35,120 Santa Monica Basin in California it's a 354 00:16:41,410 --> 00:16:39,199 seasonally variable water column and so 355 00:16:44,340 --> 00:16:41,420 there's a lot of pollen there's an 356 00:16:47,680 --> 00:16:44,350 oxygen minimum zone is a very dynamic 357 00:16:50,920 --> 00:16:47,690 continental margin I did a lot of work 358 00:16:53,100 --> 00:16:50,930 here trying to get pyrite and it turns 359 00:16:55,629 --> 00:16:53,110 out that there's this very amazing 360 00:16:58,240 --> 00:16:55,639 cryptic sylph recycling happening there 361 00:17:01,150 --> 00:16:58,250 that's a sulfate gets reduced to sulfide 362 00:17:02,860 --> 00:17:01,160 and immediately gets oxidized back so he 363 00:17:06,220 --> 00:17:02,870 didn't really get any hiring out of it 364 00:17:10,510 --> 00:17:06,230 but it became a very interesting project 365 00:17:15,220 --> 00:17:10,520 about critics over cycles from Saanich 366 00:17:17,500 --> 00:17:15,230 Inlet is an anoxic seasonal Basin that I 367 00:17:18,660 --> 00:17:17,510 visited Effingham is sick cynic and for 368 00:17:22,230 --> 00:17:18,670 Miss oxic 369 00:17:24,690 --> 00:17:22,240 I was at sandwich English I just came 370 00:17:27,780 --> 00:17:24,700 back about two weeks ago I was doing 371 00:17:29,970 --> 00:17:27,790 field work there it was a lot of fun it 372 00:17:33,690 --> 00:17:29,980 was a great experience 373 00:17:37,200 --> 00:17:33,700 we collected anoxic sediments as we can 374 00:17:40,650 --> 00:17:37,210 see here this is really gooey sediments 375 00:17:44,070 --> 00:17:40,660 and really black and they had this very 376 00:17:46,200 --> 00:17:44,080 rich like rotten egg smell to it so 377 00:17:49,020 --> 00:17:46,210 there's a lot of silt by in here which 378 00:17:51,270 --> 00:17:49,030 is great unlike my son of Monica Basin 379 00:17:54,720 --> 00:17:51,280 sediments which smell like nothing so uh 380 00:17:56,130 --> 00:17:54,730 it's very encouraging to to find pyrite 381 00:17:58,440 --> 00:17:56,140 here there should be a lot of pirate 382 00:18:02,130 --> 00:17:58,450 here because it's very anoxic and this 383 00:18:03,570 --> 00:18:02,140 is how I how I extracted the sediment so 384 00:18:06,690 --> 00:18:03,580 these are anoxic they need to be 385 00:18:08,790 --> 00:18:06,700 extracted in a glow bag perch with 386 00:18:10,530 --> 00:18:08,800 nitrogen gas so they don't come in 387 00:18:13,740 --> 00:18:10,540 contact with oxygen because once they do 388 00:18:21,140 --> 00:18:13,750 they get they get oxidized and the 389 00:18:23,100 --> 00:18:21,150 chemistry will change Megan okay so I 390 00:18:26,130 --> 00:18:23,110 just came back so I don't really have 391 00:18:29,190 --> 00:18:26,140 any data to show you about that but I do 392 00:18:30,960 --> 00:18:29,200 have my methods of what I plan to do so 393 00:18:34,950 --> 00:18:30,970 now I have my sentiments I also 394 00:18:38,160 --> 00:18:34,960 collected bottom water bottom waters 395 00:18:41,000 --> 00:18:38,170 from it so I have waters that I'm gonna 396 00:18:44,640 --> 00:18:41,010 study the trace elements as well as 397 00:18:46,560 --> 00:18:44,650 sulfur I have the sediments poor waters 398 00:18:48,390 --> 00:18:46,570 from the side of man some or all of them 399 00:18:50,850 --> 00:18:48,400 I'm gonna study the trace elements in 400 00:18:52,320 --> 00:18:50,860 sulfur and then I'm gonna extract the 401 00:18:54,060 --> 00:18:52,330 pirate from it and I'm gonna do 402 00:18:57,390 --> 00:18:54,070 something similar to this image here 403 00:18:58,920 --> 00:18:57,400 which I'm gonna do a transect and look 404 00:19:02,520 --> 00:18:58,930 at the trace elements and sulfur 405 00:19:04,460 --> 00:19:02,530 isotopes in situ to see what it tells us 406 00:19:07,020 --> 00:19:04,470 and we have done this in the past 407 00:19:10,680 --> 00:19:07,030 pyrite grains and it's really hard to 408 00:19:12,720 --> 00:19:10,690 make any assumption try to come with any 409 00:19:15,060 --> 00:19:12,730 interpretation on it and that's why I 410 00:19:17,250 --> 00:19:15,070 want to do modern because in modern I 411 00:19:19,640 --> 00:19:17,260 can look at the sediments the poor 412 00:19:22,650 --> 00:19:19,650 fluids the waters and really understand 413 00:19:25,800 --> 00:19:22,660 what is the relationship between all of 414 00:19:26,780 --> 00:19:25,810 that and between the pyrite grains and I 415 00:19:30,230 --> 00:19:26,790 think I'm out of 416 00:19:32,560 --> 00:19:30,240 so here's thank you to everyone that has 417 00:19:34,920 --> 00:19:32,570 helped me all the funding agencies and 418 00:19:39,040 --> 00:19:34,930 open to questions 419 00:19:48,550 --> 00:19:39,050 [Applause] 420 00:19:53,720 --> 00:19:51,380 first of all thank you for your very 421 00:19:56,750 --> 00:19:53,730 recent talk so my question is more a 422 00:19:59,120 --> 00:19:56,760 curiosity and the pirated is form 423 00:20:01,220 --> 00:19:59,130 pyrogen Italy is possible to find 424 00:20:05,420 --> 00:20:01,230 organic matter there that could be used 425 00:20:10,430 --> 00:20:05,430 to further assess that biodiversity so 426 00:20:13,460 --> 00:20:10,440 yes but it's mostly in very modern pie 427 00:20:16,910 --> 00:20:13,470 right once it goes through diagenesis it 428 00:20:19,190 --> 00:20:16,920 starts to lose that shield of organic 429 00:20:20,840 --> 00:20:19,200 material so that's why I'm not even 430 00:20:23,690 --> 00:20:20,850 looking at organic material because I am 431 00:20:27,890 --> 00:20:23,700 curious about the diagenesis and how it 432 00:20:29,540 --> 00:20:27,900 gets preserved and I just had a quick 433 00:20:31,580 --> 00:20:29,550 question so when you were looking at 434 00:20:33,560 --> 00:20:31,590 like the accuracy of the various ones 435 00:20:35,810 --> 00:20:33,570 that look like the metamorphic was like 436 00:20:38,030 --> 00:20:35,820 really good for all of them yeah versus 437 00:20:39,740 --> 00:20:38,040 the other is there a reason why that's 438 00:20:43,070 --> 00:20:39,750 more accurate there definitely is the 439 00:20:45,620 --> 00:20:43,080 reason so during metamorphic processes 440 00:20:48,520 --> 00:20:45,630 you can think of like magmatic processes 441 00:20:51,230 --> 00:20:48,530 for example when the pirate is four mean 442 00:20:54,500 --> 00:20:51,240 it's taking out all of the trace 443 00:20:57,070 --> 00:20:54,510 elements that were before so it has very 444 00:21:00,020 --> 00:20:57,080 very low amounts of trace elements about 445 00:21:03,100 --> 00:21:00,030 parts per trillion of trace element so 446 00:21:07,190 --> 00:21:03,110 that's why it's very good on just like 447 00:21:08,850 --> 00:21:07,200 telling that one apart alright let's