1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:12,040 --> 00:00:09,090 [Applause] 3 00:00:14,380 --> 00:00:12,050 thank you very much the second part of 4 00:00:18,670 --> 00:00:14,390 my talk will be about the experimental 5 00:00:20,490 --> 00:00:18,680 side of my model the question we want to 6 00:00:23,650 --> 00:00:20,500 answer here is can we experimentally 7 00:00:26,380 --> 00:00:23,660 reproduce something like an evolution 8 00:00:29,800 --> 00:00:26,390 process on a system which does not self 9 00:00:32,050 --> 00:00:29,810 replicate and as always as mentioned 10 00:00:33,819 --> 00:00:32,060 before whenever we want something to 11 00:00:36,640 --> 00:00:33,829 evolve we need to follow a very 12 00:00:38,080 --> 00:00:36,650 important principle which has to be 13 00:00:40,390 --> 00:00:38,090 followed otherwise nothing is happening 14 00:00:42,490 --> 00:00:40,400 we need to apply a constant non 15 00:00:46,630 --> 00:00:42,500 equilibrium equilibrium we need to have 16 00:00:50,020 --> 00:00:46,640 a situation where we have a constant non 17 00:00:52,990 --> 00:00:50,030 equilibrium phase where the complexity 18 00:00:54,850 --> 00:00:53,000 can rise over time how can we do that 19 00:00:57,370 --> 00:00:54,860 well the simplest way to do that is to 20 00:00:59,470 --> 00:00:57,380 take any reaction condition for example 21 00:01:02,590 --> 00:00:59,480 moisture switch that back and forth 22 00:01:04,929 --> 00:01:02,600 change that periodically and hereby 23 00:01:07,090 --> 00:01:04,939 create something like a moving target 24 00:01:10,030 --> 00:01:07,100 for the process and this moving target 25 00:01:11,340 --> 00:01:10,040 forces the process to go on in the non 26 00:01:15,429 --> 00:01:11,350 equilibrium State 27 00:01:17,649 --> 00:01:15,439 examples are well known dry weight 28 00:01:19,330 --> 00:01:17,659 cycling and dry wet cycling like I said 29 00:01:21,489 --> 00:01:19,340 the moisture is changed or the chemical 30 00:01:23,499 --> 00:01:21,499 potential of water is changed and it's a 31 00:01:25,809 --> 00:01:23,509 very powerful situation for 32 00:01:27,550 --> 00:01:25,819 polymerization or even of very efficient 33 00:01:29,469 --> 00:01:27,560 polymerization doing that I've mentioned 34 00:01:32,230 --> 00:01:29,479 two papers here of people who are 35 00:01:34,630 --> 00:01:32,240 present which deal with this efficiency 36 00:01:37,330 --> 00:01:34,640 of that process now we are looking 37 00:01:39,520 --> 00:01:37,340 something more exotic we're looking at a 38 00:01:41,889 --> 00:01:39,530 periodic change of the face state of 39 00:01:44,800 --> 00:01:41,899 carbon dioxide in a water carbon dioxide 40 00:01:47,529 --> 00:01:44,810 two-phase system so we have water carbon 41 00:01:49,270 --> 00:01:47,539 dioxide in the we change the face state 42 00:01:51,699 --> 00:01:49,280 of carbon dioxide from supercritical 43 00:01:53,469 --> 00:01:51,709 where it's a very good solvent to 44 00:01:55,330 --> 00:01:53,479 subcritical where it's a very bad salt 45 00:01:58,480 --> 00:01:55,340 and so it's actually switching back and 46 00:02:01,660 --> 00:01:58,490 forth of the solvent quality of carbon 47 00:02:03,099 --> 00:02:01,670 dioxide okay now where do we expect 48 00:02:05,050 --> 00:02:03,109 things like that to happen of course 49 00:02:07,359 --> 00:02:05,060 that's very obvious in case of dry 50 00:02:08,680 --> 00:02:07,369 weight cycling anywhere on the solids or 51 00:02:11,530 --> 00:02:08,690 surface of Earth 52 00:02:13,390 --> 00:02:11,540 however the second one's more difficult 53 00:02:15,850 --> 00:02:13,400 or the second one we have to look at a 54 00:02:18,610 --> 00:02:15,860 very specific position within the earth 55 00:02:20,670 --> 00:02:18,620 crust at about one kilometer of depth 56 00:02:23,789 --> 00:02:20,680 where the conditions are such 57 00:02:27,449 --> 00:02:23,799 but little variations of pressure will 58 00:02:30,059 --> 00:02:27,459 induce this face cycling of the carbon 59 00:02:32,940 --> 00:02:30,069 dioxide okay and that's exactly the 60 00:02:35,339 --> 00:02:32,950 environment we want to simulate in the 61 00:02:38,339 --> 00:02:35,349 laboratory so this is our laboratory 62 00:02:40,559 --> 00:02:38,349 device it's a high pressure device which 63 00:02:43,379 --> 00:02:40,569 is computer-controlled we can go up to 64 00:02:46,050 --> 00:02:43,389 1,000 bars we can vary the temperature 65 00:02:48,360 --> 00:02:46,060 according to a program very flexible on 66 00:02:50,910 --> 00:02:48,370 that we have this is the pressure cell 67 00:02:52,740 --> 00:02:50,920 itself from the outside that's how it 68 00:02:55,140 --> 00:02:52,750 looks in the inside it's filled with 69 00:02:59,159 --> 00:02:55,150 water and carbon dioxide so these are 70 00:03:01,440 --> 00:02:59,169 the two bulk solvents that we have to 71 00:03:02,759 --> 00:03:01,450 bulk solvents up here then we add a 72 00:03:04,949 --> 00:03:02,769 mixture of two very primitive 73 00:03:07,349 --> 00:03:04,959 amphiphiles which is a long-chain fatty 74 00:03:09,479 --> 00:03:07,359 acid and a long-chain a mine following 75 00:03:13,140 --> 00:03:09,489 Ashley recommendation by David Deamer 76 00:03:15,869 --> 00:03:13,150 and we add a set of amino acids which 77 00:03:18,559 --> 00:03:15,879 are known or which actually expected to 78 00:03:21,990 --> 00:03:18,569 form under hydrothermal conditions where 79 00:03:23,819 --> 00:03:22,000 six of them happen to be polar and six 80 00:03:26,490 --> 00:03:23,829 of them happen to be on the more 81 00:03:29,009 --> 00:03:26,500 nonpolar side otherwise there's nothing 82 00:03:33,050 --> 00:03:29,019 else no activation no other chemistry 83 00:03:35,849 --> 00:03:33,060 involved okay these are the conditions 84 00:03:37,679 --> 00:03:35,859 120 degrees mainly due to speed up 85 00:03:39,240 --> 00:03:37,689 things a little bit a relatively high 86 00:03:42,569 --> 00:03:39,250 temperature then we switch back and 87 00:03:45,360 --> 00:03:42,579 forth the pressure which allows us to 88 00:03:47,520 --> 00:03:45,370 undergo this phase transition here the 89 00:03:50,729 --> 00:03:47,530 phase transition occurs at 72 bars we 90 00:03:53,039 --> 00:03:50,739 switch between 67 and 77 and the whole 91 00:03:55,319 --> 00:03:53,049 experiment the source standard with the 92 00:03:57,179 --> 00:03:55,329 latest experiments is being run for five 93 00:04:01,409 --> 00:03:57,189 hundred hours which is approximately 94 00:04:05,610 --> 00:04:01,419 three weeks which means 1500 cycles with 95 00:04:09,390 --> 00:04:05,620 a period of 20 minutes okay what does 96 00:04:11,849 --> 00:04:09,400 this phase cycling do well first it does 97 00:04:14,969 --> 00:04:11,859 very something very similar to what dry 98 00:04:17,729 --> 00:04:14,979 cycling it also involves condensation 99 00:04:19,259 --> 00:04:17,739 whenever we bring the carbon dioxide in 100 00:04:22,140 --> 00:04:19,269 the supercritical phase it suddenly 101 00:04:24,740 --> 00:04:22,150 takes up water so we decrease the 102 00:04:27,390 --> 00:04:24,750 chemical potential of water and we 103 00:04:29,670 --> 00:04:27,400 reinforce the condensation process to 104 00:04:32,370 --> 00:04:29,680 occur so if we have amino acids here we 105 00:04:34,080 --> 00:04:32,380 will get more of the condensated 106 00:04:36,120 --> 00:04:34,090 products when the 107 00:04:38,090 --> 00:04:36,130 carbon dioxide becomes subcritical again 108 00:04:42,420 --> 00:04:38,100 then the water is coming back and this 109 00:04:44,750 --> 00:04:42,430 reinforces hydrolysis so each cycling of 110 00:04:49,710 --> 00:04:44,760 the pressure means one cycle of 111 00:04:51,750 --> 00:04:49,720 condensation and hydrolysis okay based 112 00:04:53,610 --> 00:04:51,760 we have done some experiments with some 113 00:04:55,950 --> 00:04:53,620 model amino acids to determine the 114 00:04:57,780 --> 00:04:55,960 kinetics of these processes and based on 115 00:04:59,460 --> 00:04:57,790 these kinetics we have done some 116 00:05:01,650 --> 00:04:59,470 calculations just to show how the 117 00:05:04,110 --> 00:05:01,660 concentration is developed so this is 118 00:05:06,150 --> 00:05:04,120 the concentration of the amino acids so 119 00:05:08,700 --> 00:05:06,160 these are the monomers here and on the 120 00:05:10,080 --> 00:05:08,710 logarithmic scale they hardly change of 121 00:05:12,570 --> 00:05:10,090 course there is some change but it's 122 00:05:14,370 --> 00:05:12,580 hardly visible however we have the 123 00:05:15,810 --> 00:05:14,380 development of the concentration of the 124 00:05:19,620 --> 00:05:15,820 dimer of the trimer 125 00:05:21,570 --> 00:05:19,630 of the tetra mer and so on and after a 126 00:05:23,820 --> 00:05:21,580 day or so the whole thing runs into an 127 00:05:27,000 --> 00:05:23,830 equilibrium and we end up with having 128 00:05:29,969 --> 00:05:27,010 decreasing concentrations by an order of 129 00:05:31,409 --> 00:05:29,979 magnitude for each additional amino acid 130 00:05:33,770 --> 00:05:31,419 that comes to the chain that's the 131 00:05:37,529 --> 00:05:33,780 equilibrium situation without any 132 00:05:39,570 --> 00:05:37,539 activation of course the yield of for 133 00:05:43,950 --> 00:05:39,580 example the hexapeptide is terribly low 134 00:05:47,340 --> 00:05:43,960 extremely low yields in this case okay 135 00:05:49,409 --> 00:05:47,350 but there is something else when we do 136 00:05:54,529 --> 00:05:49,419 this cycling of the pressure we also 137 00:05:57,810 --> 00:05:54,539 induce the generation of vesicles reduce 138 00:05:59,909 --> 00:05:57,820 basically generations one thousand five 139 00:06:01,770 --> 00:05:59,919 hundred and in the case of our latest 140 00:06:03,900 --> 00:06:01,780 experiment so we have many generations 141 00:06:06,240 --> 00:06:03,910 of vesicles which are formed by the 142 00:06:08,100 --> 00:06:06,250 following mechanism when we are in the 143 00:06:10,409 --> 00:06:08,110 supercritical state the carbon dioxide 144 00:06:12,060 --> 00:06:10,419 is saturated with water contains the 145 00:06:17,339 --> 00:06:12,070 amplifier contains some of the amino 146 00:06:19,680 --> 00:06:17,349 acids then the supercritical the carbon 147 00:06:21,960 --> 00:06:19,690 dioxide becomes subcritical so it's a 148 00:06:24,330 --> 00:06:21,970 bad solvent first water droplets will 149 00:06:27,029 --> 00:06:24,340 condensate in the mid air in the gas 150 00:06:30,120 --> 00:06:27,039 phase and the other constituents have 151 00:06:32,909 --> 00:06:30,130 nothing else to go for nowhere else to 152 00:06:34,680 --> 00:06:32,919 go then to go in the inside of these 153 00:06:36,659 --> 00:06:34,690 droplets or on the surface of these 154 00:06:38,580 --> 00:06:36,669 droplets which the emphathize will do 155 00:06:41,670 --> 00:06:38,590 when these droplets settle down the 156 00:06:44,100 --> 00:06:41,680 surface the mono layer on the droplets 157 00:06:45,719 --> 00:06:44,110 and the mono layer on the surface will 158 00:06:46,860 --> 00:06:45,729 interact and this will lead to the 159 00:06:48,480 --> 00:06:46,870 formation 160 00:06:50,820 --> 00:06:48,490 bicycles and of course these vesicles 161 00:06:52,950 --> 00:06:50,830 are thermodynamically unstable so after 162 00:06:55,110 --> 00:06:52,960 a short period of time especially when 163 00:06:57,689 --> 00:06:55,120 the carbon dioxide become so character 164 00:06:59,879 --> 00:06:57,699 again they fall apart that means that 165 00:07:04,650 --> 00:06:59,889 every cycling of the pressure means one 166 00:07:07,050 --> 00:07:04,660 generation of vesicles okay this is how 167 00:07:08,790 --> 00:07:07,060 they look like under the microscope when 168 00:07:11,550 --> 00:07:08,800 in studies some of them are mono lamella 169 00:07:14,070 --> 00:07:11,560 some of them multilamellar multilamellar 170 00:07:17,939 --> 00:07:14,080 ones derived from merging droplets in 171 00:07:20,909 --> 00:07:17,949 the gas phase sizes are around several 172 00:07:22,260 --> 00:07:20,919 tens of micrometers this would be the 173 00:07:25,560 --> 00:07:22,270 average size some of them are smaller 174 00:07:27,150 --> 00:07:25,570 too okay so now we have a pool of 175 00:07:29,100 --> 00:07:27,160 peptides on one side and we have 176 00:07:31,950 --> 00:07:29,110 vesicles on the other side now what we 177 00:07:34,440 --> 00:07:31,960 expect of course is interaction not that 178 00:07:36,450 --> 00:07:34,450 much of the hydrophilic ones and other 179 00:07:38,940 --> 00:07:36,460 hand completely hydrophobic ones they 180 00:07:41,580 --> 00:07:38,950 will have their own things to do but the 181 00:07:43,670 --> 00:07:41,590 amphiphilic ones some of these peptides 182 00:07:46,379 --> 00:07:43,680 are amphiphilic and they are capable of 183 00:07:48,150 --> 00:07:46,389 migrating into the bilayer and when they 184 00:07:50,279 --> 00:07:48,160 do that they will get protected against 185 00:07:52,170 --> 00:07:50,289 hydrolysis and therefore they will be 186 00:07:55,350 --> 00:07:52,180 will get pertained they will accumulate 187 00:07:57,600 --> 00:07:55,360 over time this accumulation can be 188 00:08:00,570 --> 00:07:57,610 calculated as well this is the same 189 00:08:03,930 --> 00:08:00,580 graph as before now I assume that we 190 00:08:07,170 --> 00:08:03,940 have something like 10% of hexamer which 191 00:08:09,900 --> 00:08:07,180 is amphiphilic so we start with 10% and 192 00:08:12,710 --> 00:08:09,910 a few now and if in the calculation now 193 00:08:15,000 --> 00:08:12,720 it's entered that this amphiphilic 194 00:08:17,129 --> 00:08:15,010 hexamer is somewhat protected against 195 00:08:19,320 --> 00:08:17,139 hydrolysis we see a development of the 196 00:08:22,080 --> 00:08:19,330 concentration and if we look at longer 197 00:08:24,420 --> 00:08:22,090 periods of time those 500 hours for 198 00:08:27,930 --> 00:08:24,430 example we see that the concentration of 199 00:08:29,909 --> 00:08:27,940 this hexamer will keep rising it will 200 00:08:32,250 --> 00:08:29,919 even get close to the concentration of 201 00:08:35,190 --> 00:08:32,260 the tetramer and that's exactly what we 202 00:08:38,190 --> 00:08:35,200 see in the analysis there is an analysis 203 00:08:41,670 --> 00:08:38,200 done on two experiments actually one is 204 00:08:44,760 --> 00:08:41,680 without any amphiphilic material so it's 205 00:08:47,850 --> 00:08:44,770 without vesicles and ones with vesicles 206 00:08:50,100 --> 00:08:47,860 these are the peptides that we observe 207 00:08:53,699 --> 00:08:50,110 over times different samples which have 208 00:08:56,490 --> 00:08:53,709 been taken in case of the absence of the 209 00:08:59,290 --> 00:08:56,500 amphiphilic material we see that we form 210 00:09:02,380 --> 00:08:59,300 a relatively large portion of trimer 211 00:09:05,020 --> 00:09:02,390 smaller quantities but larger varieties 212 00:09:07,690 --> 00:09:05,030 of tetra mares and hardly any panda 213 00:09:09,190 --> 00:09:07,700 mares or hexamers in case of the 214 00:09:10,240 --> 00:09:09,200 experiment with the vesicles it looks 215 00:09:14,380 --> 00:09:10,250 completely different 216 00:09:16,450 --> 00:09:14,390 the tetra mares are mostly disappeared 217 00:09:18,250 --> 00:09:16,460 except for at the end of the experiment 218 00:09:20,800 --> 00:09:18,260 looks a bit different we don't know why 219 00:09:23,470 --> 00:09:20,810 but what's really striking is that we 220 00:09:25,450 --> 00:09:23,480 get a lot of pain tamir's hexa mares and 221 00:09:27,760 --> 00:09:25,460 also much longer chains which have not 222 00:09:32,140 --> 00:09:27,770 included in this graph and when looking 223 00:09:34,540 --> 00:09:32,150 at the longer chains at Paynter mares 224 00:09:37,180 --> 00:09:34,550 and hexamers we very often find that 225 00:09:39,310 --> 00:09:37,190 they have allies in a positively charged 226 00:09:41,440 --> 00:09:39,320 lysine at the head group and more or 227 00:09:45,240 --> 00:09:41,450 less hydrophobic ones at the other ends 228 00:09:47,890 --> 00:09:45,250 of the chain and if I label these 229 00:09:50,650 --> 00:09:47,900 peptides here or the red ones now fall 230 00:09:55,180 --> 00:09:50,660 into this category then we see that they 231 00:09:56,860 --> 00:09:55,190 may occur exit occasionally in the first 232 00:09:59,560 --> 00:09:56,870 experiment but in the second experiment 233 00:10:02,320 --> 00:09:59,570 they really accumulate so we believe we 234 00:10:04,630 --> 00:10:02,330 have this accumulation effect we also 235 00:10:06,280 --> 00:10:04,640 have varied the reaction conditions for 236 00:10:08,230 --> 00:10:06,290 example in the evolution experiment we 237 00:10:11,860 --> 00:10:08,240 have after one and a half weeks removed 238 00:10:14,740 --> 00:10:11,870 the alpha files or thereby vesicles then 239 00:10:16,710 --> 00:10:14,750 we see a slightly different picture here 240 00:10:19,750 --> 00:10:16,720 but still we see the accumulation of 241 00:10:23,230 --> 00:10:19,760 amphiphilic peptides so believe we have 242 00:10:26,320 --> 00:10:23,240 this integration and this accumulation 243 00:10:28,030 --> 00:10:26,330 step which is visualized here but we can 244 00:10:32,110 --> 00:10:28,040 have more when the peptides get longer 245 00:10:34,540 --> 00:10:32,120 they actually add a they get the 246 00:10:36,550 --> 00:10:34,550 property of stabilizing or they may get 247 00:10:38,440 --> 00:10:36,560 the property of stabilizing the vesicles 248 00:10:40,750 --> 00:10:38,450 especially when they are longer than six 249 00:10:42,550 --> 00:10:40,760 hundred seven units eight units they may 250 00:10:44,680 --> 00:10:42,560 stabilize this mythical and when they do 251 00:10:46,390 --> 00:10:44,690 that and there's a mutual advantage for 252 00:10:48,850 --> 00:10:46,400 the peptide as well as for the vesicle 253 00:10:51,520 --> 00:10:48,860 and that means those peptides will get a 254 00:10:54,520 --> 00:10:51,530 much stronger selectional advantage as 255 00:10:56,890 --> 00:10:54,530 opposed to the others and it can go even 256 00:10:58,810 --> 00:10:56,900 further can go to this state which are 257 00:11:00,510 --> 00:10:58,820 called functional because there we 258 00:11:03,220 --> 00:11:00,520 developed or the vesicle may develop 259 00:11:05,170 --> 00:11:03,230 survival strategies may survival 260 00:11:05,950 --> 00:11:05,180 functions for example when the vesicles 261 00:11:08,020 --> 00:11:05,960 been formed 262 00:11:09,790 --> 00:11:08,030 there's osmotic pressure due to the 263 00:11:10,960 --> 00:11:09,800 concentration gradient between the 264 00:11:12,730 --> 00:11:10,970 inside and the out 265 00:11:14,650 --> 00:11:12,740 this osmotic pressure shortens the 266 00:11:16,720 --> 00:11:14,660 lifetime now if there are channels in 267 00:11:19,259 --> 00:11:16,730 this concentration gradient can release 268 00:11:22,090 --> 00:11:19,269 then of course there's an additional 269 00:11:24,189 --> 00:11:22,100 rate of survival due to that so these 270 00:11:27,129 --> 00:11:24,199 mechanisms get selected they get 271 00:11:30,009 --> 00:11:27,139 continuously selected during this 1,500 272 00:11:33,670 --> 00:11:30,019 generations that we create so that means 273 00:11:37,180 --> 00:11:33,680 we get additional effects here of course 274 00:11:39,370 --> 00:11:37,190 we have looked at these peptides here 275 00:11:42,160 --> 00:11:39,380 especially the longest ones which seem 276 00:11:44,019 --> 00:11:42,170 to accumulate relatively fast this one 277 00:11:46,000 --> 00:11:44,029 we were most interested in because it 278 00:11:49,439 --> 00:11:46,010 accumulated at a relatively high rate 279 00:11:52,360 --> 00:11:49,449 and we were having this peptide 280 00:11:54,670 --> 00:11:52,370 synthesized commercially and then we 281 00:11:55,329 --> 00:11:54,680 added it to a larger portions of these 282 00:11:56,800 --> 00:11:55,339 vesicles 283 00:11:59,350 --> 00:11:56,810 and try to find out what the effect 284 00:12:01,150 --> 00:11:59,360 would be of that peptide on the 285 00:12:03,490 --> 00:12:01,160 properties of the vesicles we found 286 00:12:05,920 --> 00:12:03,500 three things we found first that the 287 00:12:10,120 --> 00:12:05,930 peptide reduces the vesicle size by 288 00:12:11,620 --> 00:12:10,130 approximately 50% the vesicle sorry the 289 00:12:14,740 --> 00:12:11,630 peptide increases the vesicle 290 00:12:16,509 --> 00:12:14,750 permeability by 90% and the peptide 291 00:12:19,090 --> 00:12:16,519 increases the vesicle stability the 292 00:12:21,870 --> 00:12:19,100 half-life time is increased by a factor 293 00:12:24,790 --> 00:12:21,880 of 6 and we interpret that now as 294 00:12:27,449 --> 00:12:24,800 survival strategies for the vesicle with 295 00:12:30,340 --> 00:12:27,459 the last issue that's obvious after 296 00:12:33,730 --> 00:12:30,350 vesicles thermodynamic stable it has 297 00:12:35,829 --> 00:12:33,740 more chances to survive second one could 298 00:12:38,079 --> 00:12:35,839 be the effect that an increase of the 299 00:12:40,480 --> 00:12:38,089 vesicle membrane permeability would 300 00:12:43,870 --> 00:12:40,490 reduce the osmotic pressure effect and 301 00:12:46,420 --> 00:12:43,880 would hereby relax the the force which 302 00:12:48,129 --> 00:12:46,430 could destroy the vesicles and even the 303 00:12:50,439 --> 00:12:48,139 first one may be a survival strategy 304 00:12:53,350 --> 00:12:50,449 because smaller vesicles have better 305 00:12:56,319 --> 00:12:53,360 chances to survive shear or to survive 306 00:12:59,500 --> 00:12:56,329 bubbling okay so we believe at this 307 00:13:01,960 --> 00:12:59,510 point we are we actually have functional 308 00:13:04,000 --> 00:13:01,970 vesicles which actually have developed 309 00:13:05,740 --> 00:13:04,010 by themselves and at this point of 310 00:13:07,809 --> 00:13:05,750 course we are looking for more the 311 00:13:09,340 --> 00:13:07,819 experiments are ongoing especially the 312 00:13:12,610 --> 00:13:09,350 analyses are ongoing 313 00:13:14,079 --> 00:13:12,620 they are quite demanding okay this is a 314 00:13:16,269 --> 00:13:14,089 summary at the end let me briefly 315 00:13:18,100 --> 00:13:16,279 mention the other persons involved this 316 00:13:21,130 --> 00:13:18,110 is Oliver Schmitz who is doing the 317 00:13:24,790 --> 00:13:21,140 analyses with his coworkers this is Ivor 318 00:13:26,829 --> 00:13:24,800 who is giving us input on the geological 319 00:13:29,230 --> 00:13:26,839 side and this is mafia Davila with just 320 00:13:31,420 --> 00:13:29,240 on maternal leave since half a year 321 00:13:33,460 --> 00:13:31,430 which gives me myself the chance to work 322 00:13:36,910 --> 00:13:33,470 on the high-pressure apparatus which is