1 00:00:00,790 --> 00:00:07,320 [Music] 2 00:00:11,730 --> 00:00:09,230 [Applause] 3 00:00:13,800 --> 00:00:11,740 hi thank you I'm Elizabeth cada mio I'm 4 00:00:15,270 --> 00:00:13,810 a postdoc at the Jet Propulsion lab and 5 00:00:16,950 --> 00:00:15,280 today we'll be talking about a method 6 00:00:19,200 --> 00:00:16,960 I've been developing for the analysis of 7 00:00:20,550 --> 00:00:19,210 organic and inorganic ions using 8 00:00:22,109 --> 00:00:20,560 capillary electrophoresis with 9 00:00:25,290 --> 00:00:22,119 capacitively couple of contactless 10 00:00:28,260 --> 00:00:25,300 conductivity detection or CEC 4d for 11 00:00:30,779 --> 00:00:28,270 short so the target for this method is 12 00:00:32,910 --> 00:00:30,789 really analysis of the samples from this 13 00:00:34,410 --> 00:00:32,920 ocean world I don't have to explain to 14 00:00:36,270 --> 00:00:34,420 this group why this world these worlds 15 00:00:39,180 --> 00:00:36,280 are important or interesting so I'm not 16 00:00:40,590 --> 00:00:39,190 going to waste my time doing that but 17 00:00:41,819 --> 00:00:40,600 I'm going to say that one of the targets 18 00:00:44,220 --> 00:00:41,829 one of the things I would like to 19 00:00:46,500 --> 00:00:44,230 possibly use this for is incorporation 20 00:00:48,600 --> 00:00:46,510 into a potential larger mission for life 21 00:00:50,880 --> 00:00:48,610 detection and there was this wonderful 22 00:00:52,950 --> 00:00:50,890 paper that was published that sort of 23 00:00:55,740 --> 00:00:52,960 delineates how you might search for life 24 00:00:57,180 --> 00:00:55,750 and detect life on other worlds and the 25 00:00:58,950 --> 00:00:57,190 method that I'm developing would sort of 26 00:01:00,660 --> 00:00:58,960 fall on the rung that describes 27 00:01:03,119 --> 00:01:00,670 molecules and structures conferring 28 00:01:05,670 --> 00:01:03,129 function so I would be looking for 29 00:01:08,100 --> 00:01:05,680 patterns within classes of molecules 30 00:01:10,440 --> 00:01:08,110 that are not random and therefore might 31 00:01:11,850 --> 00:01:10,450 be indicative of life and the classes of 32 00:01:13,740 --> 00:01:11,860 molecules that I'd be looking at are 33 00:01:15,899 --> 00:01:13,750 things like amino acids or carboxylic 34 00:01:17,640 --> 00:01:15,909 acids because these are things that we 35 00:01:19,080 --> 00:01:17,650 find for carboxylic acids they're 36 00:01:21,270 --> 00:01:19,090 important intermediates and metabolic 37 00:01:24,570 --> 00:01:21,280 processes and they can sort of be 38 00:01:27,330 --> 00:01:24,580 component of cell membranes and things 39 00:01:29,070 --> 00:01:27,340 like that I'm also interested in this 40 00:01:31,380 --> 00:01:29,080 method and it probably has its strengths 41 00:01:33,000 --> 00:01:31,390 mainly and have ability assessment and I 42 00:01:33,960 --> 00:01:33,010 want to take a moment to make sure that 43 00:01:36,359 --> 00:01:33,970 we are clear about the difference 44 00:01:39,480 --> 00:01:36,369 between life detection and habitability 45 00:01:40,770 --> 00:01:39,490 so my Cliff Notes version of this is for 46 00:01:42,390 --> 00:01:40,780 life detection you're looking for 47 00:01:44,609 --> 00:01:42,400 evidence of some sort of metabolism 48 00:01:46,440 --> 00:01:44,619 habitability is just asking whether or 49 00:01:48,359 --> 00:01:46,450 not that environment could support a 50 00:01:49,679 --> 00:01:48,369 metabolism and it's much more 51 00:01:52,170 --> 00:01:49,689 complicated than that but those are the 52 00:01:53,880 --> 00:01:52,180 cliffnotes for now and so the basis for 53 00:01:56,120 --> 00:01:53,890 looking an habitable environment would 54 00:01:58,800 --> 00:01:56,130 be looking for something like water 55 00:02:00,870 --> 00:01:58,810 organic molecules and energy sources and 56 00:02:03,149 --> 00:02:00,880 having these are not simply enough you 57 00:02:05,399 --> 00:02:03,159 need to have them sort of co-located so 58 00:02:07,620 --> 00:02:05,409 any organism that might be present could 59 00:02:09,180 --> 00:02:07,630 actually use them for metabolism so to 60 00:02:10,979 --> 00:02:09,190 do this we're going to first search for 61 00:02:13,020 --> 00:02:10,989 these organic molecules and energy 62 00:02:14,460 --> 00:02:13,030 sources in the soluble chemistry of the 63 00:02:16,350 --> 00:02:14,470 environment and that will ensure not 64 00:02:17,160 --> 00:02:16,360 only that they are co-located but also 65 00:02:18,930 --> 00:02:17,170 that you 66 00:02:21,170 --> 00:02:18,940 a solvent that is able to participate 67 00:02:23,339 --> 00:02:21,180 and support the electron transport 68 00:02:25,740 --> 00:02:23,349 processes that are essential for 69 00:02:27,000 --> 00:02:25,750 metabolism so there are different 70 00:02:29,190 --> 00:02:27,010 organic molecules that we will be 71 00:02:32,040 --> 00:02:29,200 looking for and different energy sources 72 00:02:33,449 --> 00:02:32,050 that we will be looking for the specific 73 00:02:36,840 --> 00:02:33,459 targets that I've sort of used to 74 00:02:39,210 --> 00:02:36,850 develop my method for inorganic ions we 75 00:02:41,250 --> 00:02:39,220 have over here we based it off of 76 00:02:43,170 --> 00:02:41,260 seawater for a lot of them because if 77 00:02:45,030 --> 00:02:43,180 we're looking at ocean world's our ocean 78 00:02:46,170 --> 00:02:45,040 is sort of a decent model for and also 79 00:02:47,729 --> 00:02:46,180 we suspect there will be a lot of 80 00:02:49,740 --> 00:02:47,739 chlorine there will be a chloride there 81 00:02:52,979 --> 00:02:49,750 will be sulfate so we're looking for a 82 00:02:54,600 --> 00:02:52,989 bromide chloride carbonate sulfate and 83 00:02:56,309 --> 00:02:54,610 we're also looking for metabolic energy 84 00:02:58,920 --> 00:02:56,319 sources so microbial life on earth can 85 00:03:00,860 --> 00:02:58,930 use oxyanion species like sulfate and 86 00:03:03,449 --> 00:03:00,870 nitrate and perchlorate in order to 87 00:03:06,240 --> 00:03:03,459 metabolize I also want to take a moment 88 00:03:08,580 --> 00:03:06,250 to specifically focus on perchlorate 89 00:03:11,039 --> 00:03:08,590 just briefly if we are expecting these 90 00:03:13,229 --> 00:03:11,049 ocean worlds to have a lot of chloride 91 00:03:16,110 --> 00:03:13,239 and we think they might be highly 92 00:03:17,970 --> 00:03:16,120 oxidizing I think it is important that 93 00:03:21,030 --> 00:03:17,980 we consider the presence of perchlorate 94 00:03:23,160 --> 00:03:21,040 as a potential ion that could either 95 00:03:26,069 --> 00:03:23,170 interfere or support metabolic life in 96 00:03:28,680 --> 00:03:26,079 these oceans and so I wanted to make 97 00:03:30,930 --> 00:03:28,690 sure that that is part of our our search 98 00:03:33,270 --> 00:03:30,940 in these inorganic sources we're also 99 00:03:35,670 --> 00:03:33,280 looking for carboxylic acids so I sort 100 00:03:37,440 --> 00:03:35,680 of split them into these short chain 101 00:03:40,650 --> 00:03:37,450 carboxylic acids and potentially longer 102 00:03:42,120 --> 00:03:40,660 chain ones so here we have a sort of 103 00:03:43,949 --> 00:03:42,130 loose selection of ones that are found 104 00:03:46,259 --> 00:03:43,959 in meteorites that are shorter chain 105 00:03:48,780 --> 00:03:46,269 their mono carboxylic acids their branch 106 00:03:50,910 --> 00:03:48,790 they have hydroxy groups attached to 107 00:03:53,009 --> 00:03:50,920 them and then we have these which are 108 00:03:55,380 --> 00:03:53,019 sort of Diane tri carboxylic acids which 109 00:03:57,840 --> 00:03:55,390 are products and intermediates in 110 00:04:00,180 --> 00:03:57,850 metabolism we're also interested in some 111 00:04:02,130 --> 00:04:00,190 mono carboxylic acids that are longer 112 00:04:04,140 --> 00:04:02,140 chain lengths that are derived from 113 00:04:06,720 --> 00:04:04,150 lipids and could be potential components 114 00:04:09,000 --> 00:04:06,730 of cell walls 115 00:04:11,370 --> 00:04:09,010 so the technique we're using seee is 116 00:04:13,170 --> 00:04:11,380 ideal for this sort of analysis because 117 00:04:14,970 --> 00:04:13,180 it inherently separates charged species 118 00:04:15,990 --> 00:04:14,980 in an aqueous solution which is exactly 119 00:04:18,509 --> 00:04:16,000 what we're looking for 120 00:04:20,960 --> 00:04:18,519 so to do a cex parent you have a thin 121 00:04:23,430 --> 00:04:20,970 capillary about 50 microns in our case 122 00:04:25,260 --> 00:04:23,440 we fill it with a background electrolyte 123 00:04:27,150 --> 00:04:25,270 we inject sample into one end and then 124 00:04:29,040 --> 00:04:27,160 we apply a voltage and what happens is 125 00:04:30,840 --> 00:04:29,050 under the effect of that voltage the 126 00:04:33,510 --> 00:04:30,850 species of the charged species in the 127 00:04:35,580 --> 00:04:33,520 sample will separate based on their mass 128 00:04:37,470 --> 00:04:35,590 and there are there's their size and 129 00:04:39,330 --> 00:04:37,480 their charge and so at the other end you 130 00:04:40,800 --> 00:04:39,340 can place a detector and you can detect 131 00:04:44,370 --> 00:04:40,810 the different species that are already 132 00:04:45,390 --> 00:04:44,380 separated the detector detection method 133 00:04:47,370 --> 00:04:45,400 that we have chosen is a form of 134 00:04:49,350 --> 00:04:47,380 conductivity detection and we chose this 135 00:04:51,060 --> 00:04:49,360 because it will detect any charged 136 00:04:52,920 --> 00:04:51,070 species so we don't actually need to 137 00:04:54,719 --> 00:04:52,930 know what the charged species is so long 138 00:04:55,440 --> 00:04:54,729 as we can detect that that it is 139 00:04:57,420 --> 00:04:55,450 different from our background 140 00:04:58,980 --> 00:04:57,430 electrolyte it doesn't require any 141 00:05:00,540 --> 00:04:58,990 labeling or derivatives ation so we 142 00:05:02,129 --> 00:05:00,550 could use this in conjunction with other 143 00:05:05,250 --> 00:05:02,139 detection methods so we could put 144 00:05:06,930 --> 00:05:05,260 perhaps the c4d detector in line with a 145 00:05:13,050 --> 00:05:06,940 mass spec and get even more information 146 00:05:14,520 --> 00:05:13,060 out of it in the end so if you noticed 147 00:05:16,409 --> 00:05:14,530 when I talked about the targets that I 148 00:05:18,600 --> 00:05:16,419 was interested in I talked mostly about 149 00:05:20,219 --> 00:05:18,610 anions and the reason for that is that I 150 00:05:22,370 --> 00:05:20,229 have a lot of lab mates who have done a 151 00:05:24,450 --> 00:05:22,380 lot of work on the cation side of this 152 00:05:27,570 --> 00:05:24,460 here we have a paper that was published 153 00:05:29,969 --> 00:05:27,580 last year by a Philip O stock motto for 154 00:05:32,070 --> 00:05:29,979 da Santos and I encourage you if you're 155 00:05:34,740 --> 00:05:32,080 interested to look up that paper and he 156 00:05:37,040 --> 00:05:34,750 what he did was he used the same CEC 4d 157 00:05:39,900 --> 00:05:37,050 technology in order to separate 158 00:05:41,700 --> 00:05:39,910 inorganic cations and amino acids 159 00:05:43,680 --> 00:05:41,710 simultaneously and the background 160 00:05:46,800 --> 00:05:43,690 electrolyte he used for that was acetic 161 00:05:48,180 --> 00:05:46,810 acid and then we have another method 162 00:05:49,500 --> 00:05:48,190 that was developed by Jessica Kramer 163 00:05:51,840 --> 00:05:49,510 who's giving a talk later today that I 164 00:05:53,790 --> 00:05:51,850 encourage you all to go to that is done 165 00:05:55,650 --> 00:05:53,800 she's got excellent work developing 166 00:05:58,710 --> 00:05:55,660 chiral separations of amino acids with 167 00:06:00,840 --> 00:05:58,720 very low detection detection limits and 168 00:06:04,750 --> 00:06:00,850 the electrolyte that she's been using 169 00:06:08,740 --> 00:06:06,940 so as I go forward to develop my method 170 00:06:10,900 --> 00:06:08,750 I'm looking for using it in these in 171 00:06:12,790 --> 00:06:10,910 situ environments where we're really 172 00:06:14,710 --> 00:06:12,800 trying to minimize the complexity of our 173 00:06:16,000 --> 00:06:14,720 instruments and our methods because we 174 00:06:18,820 --> 00:06:16,010 don't have a lot of space we don't have 175 00:06:20,110 --> 00:06:18,830 a lot of power and so we want to have it 176 00:06:22,420 --> 00:06:20,120 be as simple as possible but we're not 177 00:06:24,640 --> 00:06:22,430 really willing to give up any of the 178 00:06:26,500 --> 00:06:24,650 science that we're looking for and so my 179 00:06:28,060 --> 00:06:26,510 approach to doing this is to take those 180 00:06:30,190 --> 00:06:28,070 cation methods that my lab mates have 181 00:06:31,990 --> 00:06:30,200 developed and develop an anion version 182 00:06:33,340 --> 00:06:32,000 that is compatible so it should be run 183 00:06:35,470 --> 00:06:33,350 on the same capillary with the same 184 00:06:39,510 --> 00:06:35,480 equipment and ideally use as many of the 185 00:06:45,850 --> 00:06:43,420 so this is exactly what I did so method 186 00:06:47,320 --> 00:06:45,860 1 I basically took the acetic acid based 187 00:06:49,660 --> 00:06:47,330 method that was developed for the 188 00:06:53,380 --> 00:06:49,670 simultaneous separation of inorganic 189 00:06:54,970 --> 00:06:53,390 cations and amino acids and I titrated 190 00:06:57,790 --> 00:06:54,980 it with sodium tetraborate until it 191 00:06:59,830 --> 00:06:57,800 reached around the pKa of acetic acid 192 00:07:01,870 --> 00:06:59,840 and I used that to separate whoops 193 00:07:04,960 --> 00:07:01,880 that's the wrong button use that to 194 00:07:06,400 --> 00:07:04,970 separate the the inorganic ions that I 195 00:07:09,520 --> 00:07:06,410 was interested and then the small very 196 00:07:11,320 --> 00:07:09,530 highly charged oxalic acid and then I 197 00:07:13,810 --> 00:07:11,330 basically did the inverse in order to 198 00:07:15,100 --> 00:07:13,820 develop the carboxylic acid version of 199 00:07:16,810 --> 00:07:15,110 this so I took the sodium tetraborate 200 00:07:18,670 --> 00:07:16,820 that's being used for the chiral amino 201 00:07:21,580 --> 00:07:18,680 acids and I titrated that with acetic 202 00:07:23,620 --> 00:07:21,590 acid to about the pKa of sodium 203 00:07:27,370 --> 00:07:23,630 tetraborate and I use that to separate 204 00:07:29,470 --> 00:07:27,380 out these carboxylic acids and this is 205 00:07:30,700 --> 00:07:29,480 very interesting because we can get it's 206 00:07:32,920 --> 00:07:30,710 very convenient I don't know if it's 207 00:07:34,990 --> 00:07:32,930 interesting because we have basically we 208 00:07:36,580 --> 00:07:35,000 have this division here and at this 209 00:07:39,070 --> 00:07:36,590 point everything below that are these 210 00:07:40,630 --> 00:07:39,080 sort of mono carboxylic acids these 211 00:07:43,450 --> 00:07:40,640 hydroxy acids these things which are 212 00:07:45,130 --> 00:07:43,460 typically found in meteorites and and 213 00:07:47,020 --> 00:07:45,140 the like and on the other side we have 214 00:07:48,610 --> 00:07:47,030 the highly charged ion tri carboxylic 215 00:07:50,770 --> 00:07:48,620 acids and things that are typically 216 00:07:51,760 --> 00:07:50,780 found as metabolic intermediates it 217 00:07:54,910 --> 00:07:51,770 might be more interesting in that 218 00:07:57,700 --> 00:07:54,920 respect we were also interested in these 219 00:07:59,950 --> 00:07:57,710 longer chain carboxylic acids so these 220 00:08:01,690 --> 00:07:59,960 are the potential components of cell 221 00:08:03,940 --> 00:08:01,700 membranes and things like that and so we 222 00:08:06,460 --> 00:08:03,950 find that earlier on even earlier than 223 00:08:08,839 --> 00:08:06,470 many of the hydroxy and branched mono 224 00:08:10,790 --> 00:08:08,849 carboxylic acids we get this 225 00:08:14,719 --> 00:08:10,800 sweet of them that come out I ran this 226 00:08:16,309 --> 00:08:14,729 between a 3-carbon long mono carboxylic 227 00:08:17,959 --> 00:08:16,319 acid all the way up to a 20 and we were 228 00:08:20,779 --> 00:08:17,969 able to get up through 14 car back 229 00:08:22,279 --> 00:08:20,789 carbon long mono carboxylic acids which 230 00:08:25,279 --> 00:08:22,289 starts to approach your cell ability 231 00:08:27,140 --> 00:08:25,289 solubility limit for these so I think 232 00:08:28,519 --> 00:08:27,150 this is pretty indicative that if we're 233 00:08:30,739 --> 00:08:28,529 looking in the soluble chemistry we can 234 00:08:33,579 --> 00:08:30,749 get most of them using this method and 235 00:08:36,769 --> 00:08:33,589 we can get them in chunks along the way 236 00:08:37,880 --> 00:08:36,779 so we also felt it was important to test 237 00:08:39,259 --> 00:08:37,890 this in a natural sample because 238 00:08:43,399 --> 00:08:39,269 standards are great because standards 239 00:08:44,810 --> 00:08:43,409 are great so I found a pond that was 240 00:08:47,600 --> 00:08:44,820 certainly full of life it had a lot of 241 00:08:50,000 --> 00:08:47,610 green in it and a lot of turtles and so 242 00:08:52,280 --> 00:08:50,010 we analyzed the sample from there we did 243 00:08:55,269 --> 00:08:52,290 not dilute it the only pretreatment that 244 00:08:58,220 --> 00:08:55,279 we did was we hydrolyze the cells by 245 00:08:59,870 --> 00:08:58,230 heating them up to 180 degrees for about 246 00:09:01,130 --> 00:08:59,880 30 minutes which would hopefully break 247 00:09:03,139 --> 00:09:01,140 apart the membranes and get anything 248 00:09:04,340 --> 00:09:03,149 that was inside of them out and when we 249 00:09:06,050 --> 00:09:04,350 ran that we found that we found the 250 00:09:08,810 --> 00:09:06,060 chloride and saw the sulphate which are 251 00:09:10,670 --> 00:09:08,820 the dominant anions in organic anions in 252 00:09:12,740 --> 00:09:10,680 that solution and then we also found 253 00:09:14,689 --> 00:09:12,750 citric acid which we would expect 254 00:09:17,269 --> 00:09:14,699 because if you have a lot of metabolism 255 00:09:19,430 --> 00:09:17,279 in a very large life filled pool you 256 00:09:21,110 --> 00:09:19,440 would expect citric acid from the citric 257 00:09:23,180 --> 00:09:21,120 acid cycle to be there 258 00:09:26,150 --> 00:09:23,190 we found carbonate and we found tiny bit 259 00:09:28,009 --> 00:09:26,160 of mono carboxylic acids and then we 260 00:09:30,319 --> 00:09:28,019 found this little peak down here which 261 00:09:32,240 --> 00:09:30,329 turns out to be indicative of 262 00:09:34,400 --> 00:09:32,250 potentially a lot of amino acid so we 263 00:09:36,710 --> 00:09:34,410 can't separate any amino acids with this 264 00:09:38,420 --> 00:09:36,720 method but what we do get when we spike 265 00:09:40,699 --> 00:09:38,430 a solution with amino acids is this 266 00:09:44,060 --> 00:09:40,709 immediate large dip that looks exactly 267 00:09:48,730 --> 00:09:44,070 like this which may be indicative of the 268 00:09:53,210 --> 00:09:48,740 amino acids great so I am ahead of time 269 00:09:54,319 --> 00:09:53,220 so moving forward on this method there 270 00:09:56,060 --> 00:09:54,329 are things we want to do so right now 271 00:09:58,130 --> 00:09:56,070 we've tested in this very friendly life 272 00:10:00,980 --> 00:09:58,140 filled pool but we want to be able to 273 00:10:02,300 --> 00:10:00,990 make sure that we can use this on things 274 00:10:03,590 --> 00:10:02,310 that are a little more analogous to the 275 00:10:05,630 --> 00:10:03,600 ocean world's that we're hoping to use 276 00:10:06,620 --> 00:10:05,640 it on in the future so we did some field 277 00:10:09,949 --> 00:10:06,630 work and we went and collected samples 278 00:10:12,470 --> 00:10:09,959 from Owens Lake and Mono Lake which are 279 00:10:14,000 --> 00:10:12,480 too hyper saline alkaline lake 280 00:10:16,189 --> 00:10:14,010 environments which could be analogous to 281 00:10:19,220 --> 00:10:16,199 these and so we're hoping to use this 282 00:10:21,019 --> 00:10:19,230 method to analyze those samples and then 283 00:10:23,569 --> 00:10:21,029 we're also beginning to develop a 284 00:10:25,009 --> 00:10:23,579 simultaneous method because well it's 285 00:10:26,509 --> 00:10:25,019 beautiful and simple to say we're just 286 00:10:28,880 --> 00:10:26,519 going to use the reagents from these 287 00:10:30,110 --> 00:10:28,890 cation methods and use the capillary and 288 00:10:32,509 --> 00:10:30,120 use all the equipment and there's a 289 00:10:35,930 --> 00:10:32,519 simplicity that makes that that really 290 00:10:38,269 --> 00:10:35,940 exciting it still requires two analyses 291 00:10:39,829 --> 00:10:38,279 and so if time is your issue then it's 292 00:10:41,900 --> 00:10:39,839 actually not as simple as we had hoped 293 00:10:43,730 --> 00:10:41,910 and so I'm attempting to develop a new 294 00:10:46,040 --> 00:10:43,740 method that will do this all at once and 295 00:10:48,380 --> 00:10:46,050 we're still using the same acetic acid 296 00:10:52,790 --> 00:10:48,390 base but we're adding triethylamine 297 00:10:55,309 --> 00:10:52,800 instead of boring as to adjust the pH of 298 00:10:57,949 --> 00:10:55,319 this and using this we can separate all 299 00:10:59,540 --> 00:10:57,959 of the primary inorganic ions with the 300 00:11:01,430 --> 00:10:59,550 exception of the chlorate and 301 00:11:04,220 --> 00:11:01,440 perchlorates to both oxychloride species 302 00:11:06,019 --> 00:11:04,230 seem to collude and we can actually get 303 00:11:08,300 --> 00:11:06,029 all of the carboxylic it's acids that we 304 00:11:10,370 --> 00:11:08,310 were interested in all the way up to c10 305 00:11:11,540 --> 00:11:10,380 so it kind of crashes out at that point 306 00:11:13,730 --> 00:11:11,550 but we're able to get all of the other 307 00:11:14,990 --> 00:11:13,740 ones including citric acid and we're 308 00:11:15,980 --> 00:11:15,000 able to take carbonate and things like 309 00:11:19,639 --> 00:11:15,990 that 310 00:11:21,889 --> 00:11:19,649 shameless plug for the rest of my lab 311 00:11:23,750 --> 00:11:21,899 mates so we're part of the chemical 312 00:11:25,610 --> 00:11:23,760 analysis and life detection group at JPL 313 00:11:28,490 --> 00:11:25,620 and a lot of us are giving talks and 314 00:11:30,199 --> 00:11:28,500 posters this week so this is a Nate and 315 00:11:31,250 --> 00:11:30,209 Constantin have posters tonight and 316 00:11:32,960 --> 00:11:31,260 they're talking about developing the 317 00:11:34,220 --> 00:11:32,970 hardware and qualifying the hardware for 318 00:11:35,900 --> 00:11:34,230 the instruments that might use these 319 00:11:37,699 --> 00:11:35,910 kinds of methods they've done a lot of 320 00:11:39,079 --> 00:11:37,709 terrific work so I suggest you go by and 321 00:11:41,199 --> 00:11:39,089 talk to them I already talked about 322 00:11:44,120 --> 00:11:41,209 Jess's talk for chiral amino acids 323 00:11:45,920 --> 00:11:44,130 fernanda is giving a talk on her 324 00:11:48,259 --> 00:11:45,930 chemical laptop which is a portable 325 00:11:49,690 --> 00:11:48,269 microchip device it's automated and 326 00:11:51,280 --> 00:11:49,700 she's done a lot of X 327 00:11:53,410 --> 00:11:51,290 with that so you can see that tomorrow 328 00:11:54,760 --> 00:11:53,420 and Florian is giving a talk about his 329 00:11:56,290 --> 00:11:54,770 liquid extractors so even if we had a 330 00:11:57,940 --> 00:11:56,300 soil sample or something that wasn't 331 00:12:00,220 --> 00:11:57,950 necessarily already in our perfect 332 00:12:01,900 --> 00:12:00,230 liquid form he's developed a tool that 333 00:12:04,570 --> 00:12:01,910 will help us get it into the form we 334 00:12:06,550 --> 00:12:04,580 need for this and then on Thursday Peter 335 00:12:08,260 --> 00:12:06,560 our group supervisor is going to give an 336 00:12:10,120 --> 00:12:08,270 excellent overview of all of the work 337 00:12:12,720 --> 00:12:10,130 that we've been doing developing these 338 00:12:15,580 --> 00:12:12,730 types of techniques for for these 339 00:12:17,430 --> 00:12:15,590 environments and then Aaron is going to 340 00:12:19,840 --> 00:12:17,440 be talking later about a microfluidic 341 00:12:21,310 --> 00:12:19,850 ion analyzer that we've been developing 342 00:12:24,610 --> 00:12:21,320 as well which is complemented with all 343 00:12:31,540 --> 00:12:24,620 of this so with that I will take any 344 00:12:35,350 --> 00:12:31,550 questions we've got plenty of time for 345 00:12:37,540 --> 00:12:35,360 questions hi Lawrence Tyler from hooey 346 00:12:40,210 --> 00:12:37,550 um so there's a pretty big difference 347 00:12:42,010 --> 00:12:40,220 between a small amino acid like glycine 348 00:12:44,410 --> 00:12:42,020 and like a really huge one like prolene 349 00:12:46,990 --> 00:12:44,420 or tryptophan um do you have any idea 350 00:12:49,210 --> 00:12:47,000 why this technique can't tell the 351 00:12:51,370 --> 00:12:49,220 difference between those things yes so 352 00:12:53,790 --> 00:12:51,380 it has to do with basically the speed 353 00:12:56,110 --> 00:12:53,800 with which they move so the method that 354 00:13:00,220 --> 00:12:56,120 detects them but doesn't separate them 355 00:13:03,040 --> 00:13:00,230 is because the Y actually I'm not sure 356 00:13:05,380 --> 00:13:03,050 it would even measure glycine they all 357 00:13:06,970 --> 00:13:05,390 just move so fast under that because in 358 00:13:09,010 --> 00:13:06,980 addition to separating based on our 359 00:13:10,720 --> 00:13:09,020 charge in size when you apply the 360 00:13:12,910 --> 00:13:10,730 electric field you also get what's 361 00:13:14,950 --> 00:13:12,920 called an electrostatic flow so the 362 00:13:17,560 --> 00:13:14,960 solution the background electrolyte gets 363 00:13:19,720 --> 00:13:17,570 pulled along with these ions toward the 364 00:13:22,540 --> 00:13:19,730 negative end and so if that's happening 365 00:13:24,610 --> 00:13:22,550 it can if it's too fast it can sometimes 366 00:13:26,830 --> 00:13:24,620 squish together those small highly 367 00:13:28,120 --> 00:13:26,840 charged positive ions and so the reason 368 00:13:30,100 --> 00:13:28,130 the negative ones separate is because 369 00:13:31,600 --> 00:13:30,110 they have a draw backwards that the 370 00:13:33,880 --> 00:13:31,610 positive ones don't have so you really 371 00:13:35,080 --> 00:13:33,890 just get them all at once and you don't 372 00:13:56,190 --> 00:13:35,090 get any separation because they move 373 00:14:04,060 --> 00:14:01,990 yes okay um yeah so she was asking about 374 00:14:05,590 --> 00:14:04,070 the size of the peaks given that the 375 00:14:07,440 --> 00:14:05,600 abundance of life we'd expect in that 376 00:14:11,650 --> 00:14:07,450 pond right okay 377 00:14:14,680 --> 00:14:11,660 yes also it can be quantitative 378 00:14:17,110 --> 00:14:14,690 I didn't quantify that because I'm still 379 00:14:20,579 --> 00:14:17,120 working on really making that a little 380 00:14:23,440 --> 00:14:20,589 more I guess robust would be the phrase 381 00:14:25,389 --> 00:14:23,450 but especially with the mono carboxylic 382 00:14:27,579 --> 00:14:25,399 acids probably what's present there just 383 00:14:28,990 --> 00:14:27,589 isn't soluble in the water they're 384 00:14:31,480 --> 00:14:29,000 probably still longer chains that we 385 00:14:32,860 --> 00:14:31,490 just can't get to in terms of the citric 386 00:14:35,260 --> 00:14:32,870 acid I'm not sure how much I would 387 00:14:37,389 --> 00:14:35,270 expect to see to be honest I haven't 388 00:14:41,410 --> 00:14:37,399 quite finished doing that it was our 389 00:14:44,680 --> 00:14:41,420 sort of first attempt at a at an 390 00:14:46,870 --> 00:14:44,690 analysis like this so it could just be 391 00:14:49,569 --> 00:14:46,880 that that when you break apart a Cell 392 00:14:51,040 --> 00:14:49,579 right maybe I'm not sure how much citric 393 00:14:52,900 --> 00:14:51,050 acid you expect to get out with that 394 00:14:54,370 --> 00:14:52,910 metabolism but it's something that we're 395 00:14:56,980 --> 00:14:54,380 kind of looking at and trying to figure 396 00:14:58,630 --> 00:14:56,990 out how much we expect sort of per cell 397 00:15:01,300 --> 00:14:58,640 and how many cells we might need to say 398 00:15:04,990 --> 00:15:01,310 that we found something and iterative we 399 00:15:10,620 --> 00:15:09,139 so let's thank our speaker again we've 400 00:15:11,230 --> 00:15:10,630 got our meal