The full course material (as well as the registration link) is accessible from the web page. The course materials include videos, schemes, calculation files, and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises) and examples. Almost all areas of analytical chemistry are addressed, ranging from simple volumetric operations and titrations to sophisticated instrumental analysis, such as determining pesticide residues by LC-MS. Efforts are made in the course to address also such uncertainty sources encountered in chemical analysis that are difficult to quantify, e.g. uncertainty due to possible interference effects (incomplete selectivity), analyte losses, etc.
In order to pass the course, the registered participants have to take six graded tests and get a higher than 50% score in every graded test. These tests are available to registered participants via the Moodle e-learning platform.
Participants who successfully pass the course will get a certificate from the University of Tartu. A digital certificate of completion is free of charge. A certificate of completion on paper can be requested for a fee of 60 euros.
You are welcome to distribute this message to potentially interested people!
Eventually, altogether 851 people registered from 103 countries. 405 participants actually started the course (i.e. tried at least one graded test at least once). The overall completion rate was 28%. This, as well as the participating rate was the lowest (48%) we have seen. However, the completion rate of the participants who started the studies was 59% with 239 successfully finished participants. Although lower than we have previously see, this result can still be considered very good for a MOOC, especially for one that has quite difficult calculation exercises, which need to be done correctly with limited number of attempts for completing the course. All statistics during the 9 years can be found in the table below.
The participants were very active and asked lots of questions. The questions were often very much to the point and addressed things that are really important to analysts in their everyday work. The course has several forums (general and by topic) and during the course period the overall number of forum posts was over 500 (!) (overall number of posts, both from participants and from teachers) and the forums are still active and posts are still coming in.
We want to thank all participants for helping to make this course a success!
We plan to repeat this course again in Spring 2023.
Currently, 843 participants from 103 countries are registered – the largest number of countries the course has ever had! In the map presented on the left, the yellow color marks the countries from where participants come. True, the map is coarse and some countries are small. Therefore, not all countries are visible. We are very happy, that we have one participant also from Ukraine this year. Slava Ukraini!
The full course material is accessible from the web page https://sisu.ut.ee/measurement/uncertainty. The course materials include videos, schemes, calculation files and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises). In order to pass the course, the registered participants have to pass six graded tests and get higher than 50% score from each of them. These tests are available to registered participants via the Moodle e-learning platform.
This course is run under the umbrella of the Estonian Center of Analytical chemistry (https://www.akki.ee/) and forms a part of the measurements and chemical analysis related master programmes at UT: Applied Measurement Science (https://ams.ut.ee/) and Excellence in Analytical Chemistry (https://www.analyticalchemistry.eu/).
The full course material (as well as the registration link) is accessible from the web page. The course materials include videos, schemes, calculation files, and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises) and examples. Almost all areas of analytical chemistry are addressed, ranging from simple volumetric operations and titrations to sophisticated instrumental analysis, such as determining pesticide residues by LC-MS. Efforts are made in the course to address also such uncertainty sources encountered in chemical analysis that are difficult to quantify, e.g. uncertainty due to possible interference effects (incomplete selectivity).
In order to pass the course, the registered participants have to take six graded tests and get a higher than 50% score in every graded test. These tests are available to registered participants via the Moodle e-learning platform.
Participants who successfully pass the course will get a certificate from the University of Tartu. A digital certificate of completion is free of charge. A certificate of completion on paper can be requested for a fee of 60 euros.
You are welcome to distribute this message to potentially interested people!
Currently, 925 participants from 97 countries are registered – the largest audience the course has ever had! In the map present above, the orange color marks the countries with stable participation: these countries were presented in our course last year, and so are today. The yellow color denotes the countries where we, unfortunately, do not have participants this year. The green color corresponds to the countries where we did not have participants last year, but are present now. True, the map is coarse and some countries are small. Therefore, not all countries are visible. However, altogether 15 countries are added this year!
The full course material is accessible from the web page https://sisu.ut.ee/measurement/uncertainty. The course materials include videos, schemes, calculation files and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises). In order to pass the course, the registered participants have to pass six graded tests and get a higher than 50% score from each of them. These tests are available to registered participants via the Moodle e-learning platform.
The full course material (as well as the registration link) is accessible from the web page. The course materials include videos, schemes, calculation files, and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises) and examples. Almost all areas of analytical chemistry are addressed, ranging from simple titrations to sophisticated instrumental analysis, such as determining pesticide residues by LC-MS.
In order to pass the course, the registered participants have to take six graded tests and get a higher than 50% score in every graded test. These tests are available to registered participants via the Moodle e-learning platform.
Participants who successfully pass the course will get a certificate from the University of Tartu. A digital certificate of completion is free of charge. A certificate of completion on paper can be requested for a fee of 60 euros.
You are welcome to distribute this message to potentially interested people!
Currently 828 participants from 92 countries are registered – the largest audience the course has ever had! As was the case in the previous years, the majority of participants are from analytical laboratories. This once again demonstrates the continuing need for training in measurement uncertainty estimation for practicing analytical chemists.
The full course material is accessible from the web page https://sisu.ut.ee/measurement/uncertainty. The course materials include videos, schemes, calculation files, and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises). In order to pass the course, the registered participants have to pass six graded tests and get higher than 50% score from each of them. These tests are available to registered participants via the Moodle e-learning platform.
This course is run under the umbrella of the Estonian Center of Analytical chemistry (https://www.akki.ee/) and forms a part of the measurements and chemical analysis related master programmes at UT: Applied Measurement Science (https://ams.ut.ee/) and Excellence in Analytical Chemistry (https://www.analyticalchemistry.eu/).
The full course material (as well as the registration link) is accessible from the web page https://sisu.ut.ee/measurement/uncertainty. The course materials include videos, schemes, calculation files and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises) and examples. Almost all areas of analytical chemistry are addressed, ranging from simple titrations to sophisticated instrumental analysis, such as determining pesticide residues by LC-MS.
In order to pass the course, the registered participants have to take six graded tests and get higher than 50% score in every graded test. These tests are available to registered participants via the Moodle e-learning platform. Participants who successfully pass the course will get a certificate from University of Tartu. A digital certificate of completion is free of charge. A certificate of completion on paper can be requested for a fee of 60 euros.
You are welcome to distribute this message to potentially interested people!
Kodjovi Hippolyte-Fayol Toulassi defending his thesis
The aim of the work was the development of the back-end for ValChrom software. It was jointly supervised by professor Marlon Dumas (Institute of Computer Science) and Koit Herodes and Asko Laaniste (Institute of Chemistry). Kodjovi successfully presented both the chemistry and computer science aspects of the thesis, gaining praise from the supervisors and the opponent.
The software
ValChrom is a software tool developed with the aim of easing the burden of analytical chemists at chromatographic method validation. In ValChrom the user chooses the validation approach (Kodjovi implemented 3 guidelines: ICH, EMA bioanalysis, and Eurachem) and software recommends a respective experimental plan.
After importing experimental results, ValChrom calculates results and generates a report. Feedback and suggestions are welcome at valchrom@ut.ee.
Between the 16th to 20th of June our group presented itself in HPLC 2019 in Milan. It was a 5-daylong and intense learning opportunity with more than 300 speakers and around 500 posters.
Topics ranged from fundamentals of HPLC, miniaturization to different omics, pharmaceutical analysis and innovative technologies (can HPLC have a FID as a detector?). For the first time, a whole section was dedicated to 3D printing technologies – a technique that is used to build 3 dimensional separation modules: for example, fascinating talks on using 3D printing to do liquid chromatography in 3 dimensions.
The conference gala dinner was held at the beautiful central courtyard of University of Milan under relieving cool evening sky opposing the hot temperatures of the day. HPLC 2019 also had two new additions that hopefully will become annual traditions: Separation Science Slam and HPLC Tube, offering an opportunity for scientists to express their love for their work in modern ways. The competitions were extremely creative and both the audience and participants were thoroughly enjoying the events. Participants from our analytical chemistry chair gave multiple contributions to the conference.
Ecstasy content in tablets is uneven
Max giving his talk
Max Hecht, MSc, presented an oral presentation on the evaluation of MDMA (also known as ecstasy and ‘Molly’) content in 412 tablets and dissolution properties in 247 tablets, collected in the UK in the time period of 2001-2018. It was found that there are no physical tablet characteristics which correlate to dissolution rate classification, hence no way of users knowing a priori whether tablets were more likely to be fast or slow-releasing. Further, large within-batch variation in the dose and also dissolution rate was observed, giving the combined result of increasing significantly the danger of over-dosing.
Standard substance free quantification in LC/ESI/MS
Anneli giving her talk
Dr. Anneli Kruve presented the recent work of her group on standard substance free quantification of metabolites in green tea samples. In the metabolomics studies, the standard substances for all detected and identified metabolites are hardly ever available. The peak areas obtained from LC/HRMS analysis are also generally usable as different compounds ionize with vastly different ionization efficiencies; the differences may reach 100 million times. With the aid of ionization efficiency predictions, this shortcoming can be overcome and the absolute concentrations estimated. The current prediction accuracy for the green tea metabolites is 1.7 times, which allows comparison of different tea samples and also the identification of the samples with different origin. Importantly, the standard substance free quantitation allows transferring quantitative data from one lab to another. Anneli has also summarized the current status of standard substance free quantitation for the last issue of LCGC. You can find out more about it from kruvelab.com and quantem.co.
Ruta Veigure, MSc, showed that fluoroalcohols, such as perfluoropinacol
(PP) and 1,1,1,3,3,3-hexafluoro-2-methyl- 2-propanol (HFTB), are very useful
alternatives to common eluent additives in RP HPLC-MS analysis, acting, among other
effects, as weak ion-paring reagents. Novel eluent additives influenced elution
of protonated bases by significantly improving analyte’s retention on C18
stationary phase as well as reduce the retention of acidic analytes, which are
deprotonated. A comparison was performed to commonly used ammonium acetate and
ammonium bicarbonate mobile phase additives. Her research will be rather
influential for the analysis of pharmaceuticals, from whom the majority are basic.
Revolutionalizing pH measurements
Prof. Ivo Leito presented a poster introducing a conceptually new approach of measuring pH of mixed-solvent liquid chromatography (LC) mobile phases: the pHabs approach. The new approach is based on the recently introduced unified pH scale (pHabs scale), which enables direct comparison of acidities of solutions made in different solvents or solvents mixtures based on chemical potential of the proton in the solutions. The viewers praised the fact that real numerical values are now available showing how different the conventional pH values are from pHabs, as well as the educative aspect of the whole endeavour. Some visitors were eager to start immediately applying pHabs in their own work.
This work is part of a larger endeavor – to promote a wider usage the unified pH scale (pHabs) by the research and technology communities, which is currently in progress via the UnipHied.
The UnipHied project is funded from the EMPIR programme (project 17FUN09) co-financed by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
Ivo presenting his poster
Asko presenting his poster
Automate what can be automated in method validation
Dr. Asko Laaniste introduced the progress on ValChrom, a software for the automation of chromatographic method validation. The development of ValChrom is ongoing and feedback is being gathered from potential users in different fields of chromatography in order to adapt to real needs (contact at valchrom@ut.ee). Feedback from viewers cemented the understanding of the problem that often validation is done in spreadsheets and textual software, that are prone to error. Viewers of the poster approved the endeavour for aiming to help small and medium-sized laboratories that do not have an affordable alternative. They were equally excited to promote the software further to their colleagues in the validation department.
The full course material (as well as the registration link) is accessible from the web page. The course materials include videos, schemes, calculation files, and numerous self-tests (among them also full-fledged measurement uncertainty calculation exercises) and examples. Almost all areas of analytical chemistry are addressed, ranging from simple volumetric operations and titrations to sophisticated instrumental analysis, such as determining pesticide residues by LC-MS. Efforts are made in the course to address also such uncertainty sources encountered in chemical analysis that are difficult to quantify, e.g. uncertainty due to possible interference effects (incomplete selectivity), analyte losses, etc.
