1 00:00:05,066 --> 00:00:07,800 Part 3 - Orientation Survey Assessing the Performance of 2 00:00:07,800 --> 00:00:10,600 the Vanta™ Analyzer’s Factory Calibration on Your Samples. 3 00:00:10,600 --> 00:00:12,500 Hello and welcome to this third video 4 00:00:12,500 --> 00:00:14,700 providing advice on best practice for use of 5 00:00:14,700 --> 00:00:17,666 portable XRF in geochemical applications. 6 00:00:17,666 --> 00:00:18,900 I’m Marcus Lake. 7 00:00:18,900 --> 00:00:20,400 And I’m Todd Houlahan. 8 00:00:20,400 --> 00:00:22,400 In this video we’ll be providing you information 9 00:00:22,400 --> 00:00:25,266 on orientation survey, assessing your instrument’s 10 00:00:25,266 --> 00:00:27,633 factory calibration against your samples. 11 00:00:27,633 --> 00:00:29,200 Todd, why do we need to assess 12 00:00:29,200 --> 00:00:30,666 the instrument’s factory calibration? 13 00:00:30,666 --> 00:00:32,433 Well, this is one of the hardest things 14 00:00:32,433 --> 00:00:34,033 to explain to a customer, 15 00:00:34,033 --> 00:00:37,033 why the instrument doesn’t always get 16 00:00:37,033 --> 00:00:39,166 exactly the right answer out of the box. 17 00:00:39,166 --> 00:00:42,300 There’s a comprehensive X-ray physics related answer 18 00:00:42,300 --> 00:00:44,166 that’s based around X-ray absorption, 19 00:00:44,166 --> 00:00:45,766 X-ray enhancement, 20 00:00:45,766 --> 00:00:49,333 and the matrix effects related to XRF spectroscopy. 21 00:00:49,333 --> 00:00:52,066 You can read about it at great length online. 22 00:00:52,066 --> 00:00:54,433 The simple answer is 23 00:00:54,433 --> 00:00:57,100 the quality of the XRF result 24 00:00:57,100 --> 00:01:00,200 is reliant upon the sample itself. 25 00:01:00,200 --> 00:01:02,233 It depends on sample preparation, 26 00:01:02,233 --> 00:01:03,633 particle size, 27 00:01:03,633 --> 00:01:08,066 and most importantly that sample’s own unique chemistry. 28 00:01:08,066 --> 00:01:10,533 Every geological sample is different 29 00:01:10,533 --> 00:01:14,033 and affects the results of the XRF analysis. 30 00:01:14,033 --> 00:01:16,900 So we try and calibrate that in. 31 00:01:16,900 --> 00:01:19,500 In the factory in Boston we use a range 32 00:01:19,500 --> 00:01:21,833 of certified reference materials 33 00:01:21,833 --> 00:01:24,900 covering multiple matrices 34 00:01:24,900 --> 00:01:27,466 and we teach the analyzer to read 35 00:01:27,466 --> 00:01:29,866 all those samples correctly. 36 00:01:29,866 --> 00:01:33,200 To create a generic calibration 37 00:01:33,200 --> 00:01:36,933 that should be suitable for most geological environments. 38 00:01:36,933 --> 00:01:40,233 But the reality is we can’t replicate 39 00:01:40,233 --> 00:01:42,966 every possible geological scenario. 40 00:01:42,966 --> 00:01:45,033 So what does that mean for a user? 41 00:01:45,033 --> 00:01:49,166 It means we may not get the right answer 42 00:01:49,166 --> 00:01:51,633 for every element every time. 43 00:01:51,633 --> 00:01:53,866 But we can do a calibration onboard the analyzer, 44 00:01:53,866 --> 00:01:54,833 isn’t that correct? 45 00:01:54,833 --> 00:01:56,700 That’s right, we can calibrate the analyzer 46 00:01:56,700 --> 00:01:58,633 and we’ll talk about that in great detail 47 00:01:58,633 --> 00:02:00,300 in the next video. 48 00:02:00,300 --> 00:02:05,166 But this video is all about informing the customer 49 00:02:05,166 --> 00:02:10,000 how to assess whether the instrument’s factory calibration 50 00:02:10,000 --> 00:02:12,333 needs to be adjusted or whether 51 00:02:12,333 --> 00:02:15,933 they can live with the performance of the factory calibration. 52 00:02:15,933 --> 00:02:18,300 So it’s not just point and shoot, Todd. 53 00:02:18,300 --> 00:02:19,633 It can be, 54 00:02:19,633 --> 00:02:24,333 but this whole video series is around the concept 55 00:02:24,333 --> 00:02:27,433 of orientation work at the beginning 56 00:02:27,433 --> 00:02:30,400 to maximize the value this technology 57 00:02:30,400 --> 00:02:31,766 can bring to your project. 58 00:02:31,766 --> 00:02:34,700 And what would you recommend a user does? 59 00:02:34,700 --> 00:02:39,800 I recommend they simply test a range of known samples, 60 00:02:39,800 --> 00:02:42,400 preferably samples from their project 61 00:02:42,400 --> 00:02:45,600 and compare the results of the XRF with the lab. 62 00:02:45,600 --> 00:02:47,533 So what happens if a customer doesn’t 63 00:02:47,533 --> 00:02:50,633 have any assayed samples from a laboratory? 64 00:02:50,633 --> 00:02:54,300 Then start using the instrument’s factory calibration 65 00:02:54,300 --> 00:02:57,666 and gradually send off some of those samples 66 00:02:57,666 --> 00:03:01,233 that you’ve tested with the instrument’s factory calibration 67 00:03:01,233 --> 00:03:04,300 to the laboratory and start a comparison. 68 00:03:04,300 --> 00:03:08,366 SRK did a fantastic project a couple of years ago 69 00:03:08,366 --> 00:03:11,800 that we presented at the PDAC workshop we did, 70 00:03:11,800 --> 00:03:16,633 where they were doing green field iron ore exploration, 71 00:03:16,633 --> 00:03:19,766 early early stage, no samples from site, 72 00:03:19,766 --> 00:03:21,833 so they bought one of the OREAS 73 00:03:21,833 --> 00:03:26,000 iron ore portable XRF kits, 74 00:03:26,000 --> 00:03:30,633 tuned the analyzer to the lab assays 75 00:03:30,633 --> 00:03:35,066 and had great confidence when they arrived into the field, 76 00:03:35,066 --> 00:03:37,000 that the instrument was working well 77 00:03:37,000 --> 00:03:39,033 on some known certified reference materials. 78 00:03:39,033 --> 00:03:42,833 OK, so let’s demonstrate. Yeah, lets do that. 79 00:03:42,833 --> 00:03:46,466 This is one of the OREAS CRM kits I mentioned. 80 00:03:46,466 --> 00:03:49,433 We tested the samples using the Vanta analyzer’s 81 00:03:49,433 --> 00:03:51,800 factory calibration and plotted it up 82 00:03:51,800 --> 00:03:53,666 against the certified values. 83 00:03:53,666 --> 00:03:56,533 So how does the data look? I’ll show you. 84 00:03:56,533 --> 00:03:59,400 Here is copper. 85 00:03:59,400 --> 00:04:00,966 Copper looks great, eh? 86 00:04:00,966 --> 00:04:06,666 It’s got very good correlation and the two, 87 00:04:06,666 --> 00:04:09,466 there actually is two lines there Marcus, would you believe? 88 00:04:09,466 --> 00:04:11,866 I can’t see the blue one underneath the orange one, 89 00:04:11,866 --> 00:04:13,400 I’m sure it’s there. 90 00:04:13,400 --> 00:04:18,366 Lets look at iron. Iron looks pretty good too. 91 00:04:18,366 --> 00:04:21,300 Its reporting a bit low at higher concentrations 92 00:04:21,300 --> 00:04:23,766 it says there Todd. Yeah, yeah. 93 00:04:23,766 --> 00:04:25,400 There’s the certified values versus 94 00:04:25,400 --> 00:04:27,566 the XRF factory calibration. 95 00:04:27,566 --> 00:04:29,000 But the trending still looks good. 96 00:04:29,000 --> 00:04:32,466 Silica? Silica looks fabulous. 97 00:04:32,466 --> 00:04:35,333 Wow, out of the box. Pretty impressive. 98 00:04:35,333 --> 00:04:38,866 Aluminum? Wow, look at that aluminum. 99 00:04:38,866 --> 00:04:40,600 Again the trending looks great. 100 00:04:40,600 --> 00:04:42,033 Reporting a little bit lower. 101 00:04:42,033 --> 00:04:44,066 Yeah. In some of the concentrations. 102 00:04:44,066 --> 00:04:46,666 Ultimately, is it up to the user 103 00:04:46,666 --> 00:04:48,233 to decide whether they are happy 104 00:04:48,233 --> 00:04:49,866 with the instrument’s factory calibration 105 00:04:49,866 --> 00:04:52,133 against known CRM’s or lab values? 106 00:04:52,133 --> 00:04:55,766 For sure. I mean it’s all about fit for purpose. 107 00:04:55,766 --> 00:04:57,700 It goes back to the previous video 108 00:04:57,700 --> 00:05:01,300 where we tried to talk about setting goals and objectives. 109 00:05:01,300 --> 00:05:04,266 Only the user can decide whether 110 00:05:04,266 --> 00:05:06,666 the factory calibration is good enough 111 00:05:06,666 --> 00:05:09,533 and achieves the objectives that they set out for it. 112 00:05:09,533 --> 00:05:11,300 If the factory calibration is OK, 113 00:05:11,300 --> 00:05:12,700 use the factory calibration. 114 00:05:12,700 --> 00:05:15,133 But they can still fine tune the factory calibration 115 00:05:15,133 --> 00:05:16,400 onboard their analyzer. 116 00:05:16,400 --> 00:05:19,433 They can and especially when you get great correlation 117 00:05:19,433 --> 00:05:22,900 and linearity like we saw in this example. 118 00:05:22,900 --> 00:05:25,000 They can adjust the factory calibration either 119 00:05:25,000 --> 00:05:28,766 onboard the Vanta or in a spreadsheet offline. 120 00:05:28,766 --> 00:05:30,500 If you can’t wait until our next video 121 00:05:30,500 --> 00:05:32,933 Jen Caban has completed a short tutorial online 122 00:05:32,933 --> 00:05:34,466 Creating User Factors. 123 00:05:34,466 --> 00:05:36,066 Its available on our Olympus website 124 00:05:36,066 --> 00:05:37,433 or our YouTube channel. 125 00:05:37,433 --> 00:05:39,066 Todd, will we be seeing you again? 126 00:05:39,066 --> 00:05:41,700 I hope so mate, but where’s Aaron? 127 00:05:41,700 --> 00:05:44,966 I hope so too mate. Is Aaron in Kalgoorlie? 128 00:05:44,966 --> 00:05:46,366 Karratha I thought. 129 00:05:46,366 --> 00:05:47,666 Kununurra? 130 00:05:47,666 --> 00:05:48,933 Maybe Karumba!