<p><strong>In the week of February 9, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>5 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><div><div><div><div><div><div><h5><strong>1. Thermo Fisher Scientific: Process Raman – A Reliable and Versatile Tool for Downstream Process Monitoring and Control for mAb Production</strong></h5><ul><li>Tu, 10.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5808">Registration</a></li></ul><p>The presentation highlights how process Raman spectroscopy offers several advantages over traditional in-line UV-Vis analysis for process monitoring and metabolite production control in mAb manufacturing.</p><h5><strong>2. Wasson-ECE Instrumentation: The Data Driven Plant – How AI Transforms Chemical Manufacturing</strong></h5><ul><li>Tu, 10.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5744">Registration</a></li></ul><p>Explore how artificial intelligence is applied to improve process efficiency, monitoring, and decision-making in modern chemical manufacturing.</p><h5><strong>3. New Food Magazine: The Science of Next-Gen Ingredients – Fermentation, Formulation and Function</strong></h5><ul><li>We, 11.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinar/5720">Registration</a></li></ul><p>Discover how fermentation-driven innovation is transforming functional food ingredients, with analytical insights to optimize flavour, functionality, and product stability.</p></div></div></div></div></div></div>

Webinars LabRulezGCMS Week 07/2026

<p><strong>This study presents an analytical strategy combining QuEChERS extraction with low-temperature partitioning (LTP) for the determination of multiclass pesticide residues in cocoa beans by GC–MS. Extraction conditions were optimized using a fractional factorial design, resulting in a simple and efficient workflow suitable for complex cocoa matrices.</strong></p><p>The validated method showed satisfactory limits of detection and quantification, recoveries within 70–120%, and good overall performance. Application to cocoa samples from Brazil detected permethrin in several samples, demonstrating that the QuEChERS–LTP approach is an effective and reliable cleanup strategy for routine pesticide residue analysis in cocoa.</p><blockquote><h4><strong>The original article</strong></h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360"><strong>QuEChERS Combined with Low-Temperature Partitioning and GC–MS as an Analytical Strategy for the Determination of Multiclass Pesticide Residues in Cocoa Beans</strong></a></h4><p>Priscilla M. de Freitas Machado, Madson M. Nascimento, Paulo R. R. Mesquita, Manuela B. Nascimento, Lilian Lefol N. Guarieiro, Gisele O. da Rocha, Jailson B. de Andrade, Raildo M. de Jesus*</p><p>ACS Omega 2025, 10, 51, 63464–63473</p><p><a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acsomega.5c10360">https://doi.org/10.1021/acsomega.5c10360</a></p><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/"><strong>CC-BY 4.0</strong></a></h6></blockquote><p><strong>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.</strong></p><p>Cocoa is best known as the primary raw material for chocolate but is also processed into products such as cocoa butter, biscuits, cocoa honey, and cocoa powder. Cocoa powder is derived from roasted, pressed, and milled nibs, containing on average 20% (w/w) lipids on a dry basis and less than 9% moisture. <a href="javascript:void(0);">(3,4)</a></p><p>According to the Brazilian Health Regulatory Agency (ANVISA), pesticides such as atrazine, bifenthrin, cyproconazole, metalaxyl, tebuconazole, trifloxystrobin, and permethrin are approved for use in Brazil. <a href="javascript:void(0);">(13)</a> However, among these, only metalaxyl, trifloxystrobin, and tebuconazole are authorized by the European Union. <a href="javascript:void(0);">(14)</a> Thus, investigating these contaminants in cocoa samples is of utmost importance, as Brazil is one of the largest cocoa exporters, supplying cocoa commodities to South America, the United States, and the European Union. <a href="javascript:void(0);">(2)</a> Furthermore, Organochlorine pesticides, in particular, belong to the class of persistent organic pollutants (POPs). Although banned in many countries, they continue to be used in some developing nations because of their chemical stability, resistance to degradation, volatility, and high lipophilicity, which promote bioaccumulation and neurotoxicity. <a href="javascript:void(0);">(15)</a> Epidemiological evidence also associates their exposure with Parkinson’s disease, certain cancers, diabetes, and endometriosis. <a href="javascript:void(0);">(16)</a></p><p>Residues of pesticides in cocoa have been reported in various studies. <a href="javascript:void(0);">(17)</a> Analyzing pesticide residues in cocoa presents analytical challenges due to the matrix’s complexity, comprising high lipid content, fatty acids and esters, sugars, polyphenols, and caffeine. These components can interfere with extraction efficiency and contaminate analytical instrumentation. <a href="javascript:void(0);">(18)</a> Therefore, efficient sample preparation methods incorporating effective cleanup steps are essential for accurate residue determination.</p><p>Several techniques have been employed for multiresidue pesticide analysis in cocoa. For instance, Idowu et al. <a href="javascript:void(0);">(19)</a> quantified 14 organochlorines using Soxhlet extraction and silica/Na<sub>2</sub>SO<sub>4</sub> cleanup, with GC ECD detection. Okoffo et al. <a href="javascript:void(0);">(20)</a> determined 13 organophosphates and 9 pyrethroids employing SPE cartridges (Envi-carb/LC-NH<sub>2</sub> and Bond Elute C18), acetonitrile extraction, and GC PFPD or GC ECD quantification. Yusiasih et al. <a href="javascript:void(0);">(21)</a> applied dispersive SPE with PSA, Florisil, and MgSO<sub>4</sub> for pyrethroids, followed by GC ECD and GC–MS.</p><p>Therefore, this study aimed to evaluate the effectiveness of a QuEChERS–LTP analytical procedure for the determination of multiclass pesticide residues in cocoa beans. The factors that affect the QuEChERS–LTP procedure efficiency were optimized. After validation, the procedure was employed to investigate the occurrence of 15 multiclass pesticides in cocoa samples.</p><h4><strong>Experimental Section</strong></h4><h5><strong>Instrumental Apparatus</strong></h5><p>Pesticide separation and identification were performed on a Shimadzu <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=GC-MS-QP2010SE"><strong>GC-MS-QP2010SE</strong></a> system (Kyoto, Japan) equipped with an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=1&amp;search=AOC-20i"><strong>AOC-20i autosampler</strong></a>. Separation was achieved using an <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library?mainauthorItems=10&amp;search=DB-5MS"><strong>Agilent DB-5MS capillary column</strong></a> (30 m × 0.25 mm × 0.25 μm) with a stationary phase of 5% phenyl/95% dimethylpolysiloxane. The instrumental conditions were based on Nascimento et al. <a href="javascript:void(0);">(49)</a> and they are summarized in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl4">Table 4</a>.</p><p>For quantification, the base peak was used, while two additional ions were monitored for confirmation (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsomega.5c10360/suppl_file/ao5c10360_si_001.pdf">Table S2</a>) in accordance with SANTE guidelines. <a href="javascript:void(0);">(50)</a> A GC–MS/SIM chromatogram illustrating the separation of all target pesticides is presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig5">Figure 5</a>.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_5_Extracted_ion_chromatogram_EIC_in_SIM_mode_of_the_target_pesticides_f2461c14f4.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 5. Extracted ion chromatogram (EIC) in SIM mode of the target pesticides obtained from the injection of a mixed standard solution at 100 μg L–1. Analytes are listed in order of elution: [1] Molinate (6.18 min); [2] α-HCH (8.15 min); [3] atrazine-d5 (8.69 min); [4] atrazine (8.75 min); [5] diazinon (9.31 min); [6] disulfoton (9.67 min); [7] dimethachlor (10.60 min); [8] metalaxyl (11.25 min); [9] p,p′-DDE (15.82 min); [10] cyproconazole I (16.50 min); [11] cyproconazole II (16.56 min); [12] p,p′-DDD (17.29 min); [13] ethion (17.34 min); [14] trifloxystrobin (18.43 min); [15] tebuconazole (19.13 min); [16] bifenthrin (20.47 min); [17] permethrin I (23.92 min); [18] permethrin II (24.18 min)." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_5_Extracted_ion_chromatogram_EIC_in_SIM_mode_of_the_target_pesticides_f2461c14f4.jpg 245w," sizes="100vw" width="2080" height="835"></p><h5><strong>Application of the Proposed Procedure to Real Samples</strong></h5><p>In a 50 mL Falcon tube, 2.0 g of sample was weighed using an analytical balance (AUX320, Shimadzu, Kyoto, Japan). A total of 2.0 g of salt (NaCl and Na<sub>2</sub>SO<sub>4</sub> in a 1:1 w/w ratio) was added, followed by an aliquot of the atrazine-<i>d</i><sub>5</sub> solution (surrogate standard) to yield a final concentration of 250 μg kg<sup>–1</sup>. A mixture of acetonitrile (8.0 mL) and ultrapure water (2.0 mL) was then added. The system was vortexed (K40-10208, Kasvi, São Paulo, Brazil) for 3.0 min at 2500 rpm and centrifuged (MPW-351R, MPW Med. Instruments, Warsaw, Poland) for 10.0 min at 15 °C and 10,000 rpm. After phase separation, approximately 6.0 mL of the supernatant was transferred to a Falcon tube containing 150.0 mg of PSA sorbent. The mixture was vortexed again for 3.0 min at 2500 rpm and centrifuged for an additional 10.0 min under the same conditions. The tubes were then placed in the freezer for 24 h. Once the aqueous phase had frozen, the organic extract containing the analytes was collected, filtered through a Cytiva Whatman MiniUniprep G2 vial with a 0.20 μm membrane filter (Marlborough, Massachusetts, USA), and injected into the GC–MS system (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig6">Figure 6</a>).</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_6_Schematic_representation_of_the_extraction_procedure_using_the_Qu_E_Ch_ERS_LTP_procedure_for_pesticide_extraction_in_cocoa_powder_samples_ed58549bcf.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 6. Schematic representation of the extraction procedure using the QuEChERS–LTP procedure for pesticide extraction in cocoa powder samples." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_6_Schematic_representation_of_the_extraction_procedure_using_the_Qu_E_Ch_ERS_LTP_procedure_for_pesticide_extraction_in_cocoa_powder_samples_ed58549bcf.jpg 223w," sizes="100vw" width="1458" height="1022"></p><h4><strong>Results and Discussion</strong></h4><h5><strong>Evaluation of the Effect of Low and Ultralow Temperatures on the Analytical Response</strong></h5><p>Studies reporting the use of LTP generally employ a conventional freezer, which typically reaches −18 ± 2 °C as the minimum temperature. In this equipment, effective phase separation can require 8 to 24 h. <a href="javascript:void(0);">(35−37)</a> In contrast, ultralow temperature freezers (ultrafreezers) can reach −80 °C, leading to a substantial reduction in partitioning time. In this study, tests performed with the conventional freezer achieved satisfactory partitioning after 24 h, whereas in the ultrafreezer, complete partitioning was observed in only 20 min.</p><p>Considering the analytical response in terms of peak area (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig3">Figure 3</a>), higher signals were obtained when LTP was performed in a conventional freezer rather than an ultrafreezer. This behavior can be attributed to the partitioning mechanism. <a href="javascript:void(0);">(32)</a> Partitioning depends on cooling and the subsequent freezing of the aqueous phase. In the conventional freezer, the slower freezing rate provides sufficient time for the system to approach thermodynamic equilibrium, favoring analyte diffusion between phases. Under these conditions, analyte molecules have more time to migrate and distribute optimally before complete solidification. In contrast, the rapid freezing in the ultrafreezer may trap analytes in a nonideal distribution, reducing the efficiency of the partitioning process <a href="javascript:void(0);">(32)</a> (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#fig3">Figure 3</a>). According to these observations, the conventional freezer was selected for subsequent experiments.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Figure_3_Comparison_of_chromatographic_peak_areas_of_pesticides_after_partitioning_in_the_conventional_freezer_versus_the_ultrafreezer_9598bcfec3.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Figure 3. Comparison of chromatographic peak areas of pesticides after partitioning in the conventional freezer versus the ultrafreezer." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Figure_3_Comparison_of_chromatographic_peak_areas_of_pesticides_after_partitioning_in_the_conventional_freezer_versus_the_ultrafreezer_9598bcfec3.jpg 175w," sizes="100vw" width="996" height="891"></p><h5><strong>Application to Real Samples</strong></h5><p>Fifteen samples were analyzed in triplicate, comprising two from the State of Pará and 12 from the State of Bahia, located in the North and Northeast regions of Brazil, respectively. Among the 15 pesticides investigated, only permethrin isomers were quantified in four samples (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl3">Table 3</a>). The herbicide molinate was also detected in three samples; however, its concentration was below LOQ. Permethrin isomers concentrations ranged from 17.1 ± 0.3 to 49.6 ± 1.8 μg kg<sup>–1</sup>. These values are below the MRL established by European Union regulation, which is 100 μg kg<sup>–1</sup>. <a href="javascript:void(0);">(42)</a> Although permethrin is not permitted in the European Union, <a href="javascript:void(0);">(42)</a> it remains authorized for use as insecticide in Brazil, particularly in crops such as cotton, rice, coffee, citrus, cabbage, beans, tobacco, maize, soybean, tomato, wheat, and grape. <a href="javascript:void(0);">(13)</a> However, no MRL values have been established for cocoa beans under Brazilian legislation. <a href="javascript:void(0);">(13)</a> <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acsomega.5c10360#tbl3">Table 3</a> shows the concentration of detected compounds in the cocoa samples.</p><p><img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/ACS_Omega_2025_10_51_63464_63473_Table_3_Mean_Concentrations_mg_kg_1_Standard_Deviation_of_Target_Pesticides_Detected_in_This_Study_2427955699.jpg" alt="ACS Omega 2025, 10, 51, 63464–63473: Table 3. Mean Concentrations (μg kg–1 ± Standard Deviation) of Target Pesticides Detected in This Study" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_ACS_Omega_2025_10_51_63464_63473_Table_3_Mean_Concentrations_mg_kg_1_Standard_Deviation_of_Target_Pesticides_Detected_in_This_Study_2427955699.jpg 196w," sizes="100vw" width="1070" height="851"></p><p>To assess method performance for pesticides not detected in the cocoa samples, one of the analyzed samples was fortified with a mixed standard solution at concentrations of 50, 250, and 500 μg kg<sup>–1</sup>. The fortified analytes were subsequently detected in the chromatograms presented in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acsomega.5c10360/suppl_file/ao5c10360_si_001.pdf">Figures S2–S4</a>, indicating good response of the proposed method.</p><h4><strong>Conclusions</strong></h4><p>The QuEChERS–LTP procedure was successfully developed for the determination of 16 multiclass pesticide residues in cocoa beans. For the first time, ultralow temperature (−80 °C) was applied to accelerate the low-temperature partitioning process during pesticide extraction from cocoa beans. Nevertheless, conventional freezing at −12 °C proved to be more effective for the extraction of the target analytes.</p><p>Evaluation of the matrix effect demonstrated that matrix-matched analytical curves, constructed in an analyte-free cocoa bean extract, were more effective in compensating for matrix interferences than the use of analyte protectants.</p><p>The pyrethroid permethrin was quantified in four cocoa samples. However, the concentrations did not exceed the MRL established by European Union legislation.</p><p>Overall, the QuEChERS–LTP procedure proved to be a promising approach for pesticide residue determination, as it requires smaller volumes of solvents and reagents, involves fewer cleanup and extraction steps, and shows strong potential for application to other complex matrices.</p>

QuEChERS Combined with Low-Temperature Partitioning and GC–MS as an Analytical Strategy for the Determination of Multiclass Pesticide Residues in Cocoa Beans

<p><strong>Eurachem and CITAC welcome analysts interested in the evaluation of chemical analysis uncertainty and in how to use this information in results interpretation. The Eurachem Week 2026 will begin with a training course on “Evaluation of the measurement uncertainty from in-house precision and recovery data” scheduled for Sunday, 10 May 2026. A two-days workshop on “Quality in Analytical Measurements: Uncertainty Evaluation and Results Interpretation” open to all interested participants will take place from 11 to 12 May 2026. On 13 May 2026, the Eurachem Working Groups will convene, followed by the Eurachem General Assembly, which will bring together the Executive and national delegates on 14 and 15 May. Both Working Group Meetings and the General Assembly are restricted to their members.</strong></p><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation.</p><p>For many analytical applications, simplified uncertainty evaluations can determine uncertainty values that meet the defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation and quality control. There will be a discussion of how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><blockquote><h5><strong>New Eurachem guidance on using in-house precision and recovery data will be discussed at the workshop.</strong></h5></blockquote><p>Topics will also include the validation and uncertainty evaluation for qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling. Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Registration</strong></h3><blockquote><p class="cke-user_style-important"><strong>👉</strong><a target="_blank" rel="noopener noreferrer" href="https://conferences.chemistry.pt/register/eurachem2026"><strong>Register here for the workshop</strong></a></p></blockquote><h4><strong>Registration Fees</strong></h4><h5><strong>Early bird (EUR) - Until April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>400 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026): </strong>250 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026):</strong> 75</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026): </strong>250</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026):</strong> 150</li></ul><h5><strong>After April 15th</strong></h5><ul><li><strong>Workshop: Regular participant (11 &amp; 12 May 2026): </strong>450 EUR</li><li><strong>Workshop: Student (11 &amp; 12 May 2026):</strong> 300 EUR</li><li><strong>Eurachem Working Group<sup>1</sup> (13 May 2026): </strong>100</li><li><strong>General Assembly<sup>2</sup> (14 &amp; 15 May 2026):</strong> 300</li><li><strong>Training On Uncertainty Evaluation<sup>3</sup> (10 May 2026): </strong>200</li></ul><blockquote><p>§ - <strong>50 EUR reduction for members of Eurachem</strong>, CITAC, SPQ, RELACRE, ForMEQ and SPMet at the workshop.</p><p>10% reduction for organisations that registered more than one participant.</p><p><sup>1 </sup>- Working group members</p><p><sup>2</sup> - Eurachem members</p><p><sup>3</sup> - 50% reduction for workshop participants</p></blockquote><h3><strong>Workshop</strong></h3><h4><strong>Eurachem/CITAC Workshop on Quality in Analytical Measurements:</strong></h4><h5><strong>Uncertainty Evaluation and Results Interpretation</strong></h5><p>The results of qualitative and quantitative chemical analyses should have an acceptable uncertainty, which should ideally be reported and considered in results interpretation. For many analytical applications, simplified uncertainty evaluations can determine uncertainty values meeting defined requirements for this parameter. The workshop will focus on the key technical challenges involved in practical evaluations of measurement uncertainty based on precision and recovery data gathered during in-house method validation. It will be discussed how to model the variation of the measurement uncertainty within the analytical range and how to handle divergent recovery values from the analysis of various reference materials. A session on the use of measurement uncertainty in conformity assessment will explore how the risk of false conformity decisions can be managed.</p><p>Topics will also include the validation and uncertainty evaluation of qualitative analyses with particular attention to current accreditation requirements for these types of analysis. The last session of the workshop will be dedicated to the evaluation of measurement uncertainty arising from sampling and using it to judge the fitness for purpose, and hence validation, of measurement procedures that include sampling.</p><p>Four sessions of the workshop will include engaging breakout sessions where participants will have the chance to share their views about challenging aspects of the analytical work. Participants are invited to propose posters and oral communications on session topics or any other relevant topic for analytical chemists or stakeholders of the analytical work.</p><h3><strong>Training Course</strong></h3><h4><strong>Evaluation of the measurement uncertainty from in-house precision and recovery data</strong></h4><ul><li>10 May 2026</li></ul><p>A course on the fundamentals of the evaluation of the measurement uncertainty from in-house precision and recovery data will be held on Sunday, 10 May 2026. This training is targeted for analysts with a basic understanding of the measurement uncertainty concept, how uncertainty components propagate, and how the combined uncertainty is expanded. Following the morning presentation of the theory of uncertainty evaluation, the afternoon will be dedicated to applying the theory to real-world cases. Trainees should have basic skills in using Microsoft Excel spreadsheets and bring a laptop with Microsoft Excel to complete the exercises. The interaction between trainers and trainees will be promoted to guarantee learning efficiency.</p><h5><strong>Trainers:</strong></h5><ul><li>Ricardo Bettencourt da Silva, Faculdade de Ciências da Universidade de Lisboa, Portugal (rjsilva@ciencias.ulisboa.pt)</li><li>Stephen L. R. Ellison - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li><li>Vicki Barwick - UK National Measurement Laboratory (NML) hosted at LGC, United Kingdom</li></ul><h4><strong>Agenda</strong></h4><h5><strong>8:00 Registration</strong></h5><h5><strong>9:00 Opening</strong></h5><h5><strong>9:05 Identifying, combining, and expanding uncertainty components: Theory and examples</strong></h5><h5><strong>9:45 Precision uncertainty: Theory and examples</strong></h5><h5><strong>10:30 </strong>Coffee break</h5><h5><strong>10:50 Trueness-related uncertainty: Theory and examples</strong></h5><h5><strong>12:00 Additional questions and discussion</strong></h5><h5><strong>12:30 </strong>Lunch</h5><h5><strong>13:30 Application example 1</strong></h5><h5><strong>15:30 </strong>Coffee break</h5><h5><strong>15:50 Application example 2</strong></h5><h5><strong>17:00 Additional questions and discussion</strong></h5><h5><strong>17:30 Closing</strong></h5><h3><strong>Venue</strong></h3><p>The series of Eurachem events will be held in:</p><ul><li>Meliã Lisboa Aeroporto ****</li><li>Rua C,2 1749-125 Lisboa, Portugal&nbsp;</li></ul>

Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

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Eurachem is a European network promoting international traceability of chemical measurements and good analytical practice. It provides expert guidance, supports method validation, uncertainty evaluation, proficiency testing, and facilitates discussion on technical and policy issues in analytical quality.

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<p><strong>This workshop will show the workflow of analyzing a microplastic sample on the Agilent 8700 Laser Direct Infrared Imaging (LDIR). The sample format for introduction into the instrument will be discussed, as well as a description of system operation.</strong></p><blockquote><p><strong>Presenter: </strong>Louis Tisinger, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)</p><p>Louis (Lou) Tisinger has a Ph.D. in Analytical Chemistry from Miami University in Oxford Ohio, where his graduate research involved the study of ATR imaging and microscope performance in vibrational spectroscopy. Most of his career has been related to pre- and post-sales support of FTIR spectrometers, microscopes, imaging systems, and thermal analytical instruments, focusing on analyzing customer samples, demonstrations, post-sales training, troubleshooting, and R&amp;D.</p></blockquote>

Agilent Technologies: Agilent Webinars On Demand

Microplastics Identification: Tips & Tricks Workshop

This workshop will show the workflow of analyzing a microplastic sample on the Agilent 8700 Laser Direct Infrared Imaging (LDIR). 

<div><div><div><div><div><div><article><div><div><div><div><div><div><article><div><div><div><div><div><div><p>Discover the advantages of specialty GC detectors PDHID and SCD in this webinar, covering sensitivity, selectivity, and applications in trace gas analysis.</p></div></div></div></div></div></div></article></div></div></div></div></div></div></article></div></div></div></div></div></div><blockquote><p><strong>Presenter:</strong> John Wasson</p><p>John Wasson has over 40 years of experience in Gas Chromatography and Chemical Instrumentation. He is President of Wasson-ECE Instrumentation, Inc.</p></blockquote>

Wasson-ECE Instrumentation: Free Webinar Series

Specialty GC Detectors - PDHID and SCD

Discover the advantages of specialty GC detectors PDHID and SCD in this webinar, covering sensitivity, selectivity, and applications in trace gas analysis.

<div><div><div><div><div><div><article><div><div><div><div><div><div><article><div><div><div><div><div><div><article><div><div><div><div><div><div><p>Learn about O-FIDs and ASTM D5599 methodology in this webinar, focusing on accurate oxygenate analysis in fuels with optimized GC detector performance.</p></div></div></div></div></div></div></article></div></div></div></div></div></div></article></div></div></div></div></div></div></article></div></div></div></div></div></div><blockquote><p><strong>Presenter:</strong> John Wasson</p><p>John Wasson has over 40 years of experience in Gas Chromatography and Chemical Instrumentation. He is President of Wasson-ECE Instrumentation, Inc.</p></blockquote>

O-FIDs/ ASTM D5599

Learn about O-FIDs and ASTM D5599 methodology in this webinar, focusing on accurate oxygenate analysis in fuels with optimized GC detector performance.

<div><div><div><div><div><div><article><div><div><div><div><div><div><article><div><div><div><div><div><div><article><div><div><div><div><div><div><p>Discover how autosamplers for gas and LPG improve sample handling, accuracy, and efficiency, ensuring reliable results in petrochemical and environmental analysis.</p></div></div></div></div></div></div></article></div></div></div></div></div></div></article></div></div></div></div></div></div></article></div></div></div></div></div></div><blockquote><p><strong>Presenter:</strong> John Wasson</p><p>John Wasson has over 40 years of experience in Gas Chromatography and Chemical Instrumentation. He is President of Wasson-ECE Instrumentation, Inc.</p></blockquote>

Autosamplers for Gas and LPG and Samples

Discover how autosamplers for gas and LPG improve sample handling, accuracy, and efficiency, ensuring reliable results in petrochemical, environmental analysis.

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>In response to growing environmental concerns and the urgent need for sustainable practices, the upcycling of post-consumer and reprocessed plastics has become a critical focus. This webinar will delve into the upcycling of reprocessed polypropylene (rPP) through reactive extrusion, emphasizing the use of a compatibilizer and the optimization of key process variables.</strong></p><h4><strong>Key Topics Covered:</strong></h4><ul><li>Optimization of Extrusion Parameters: Learn how factorial design of experiment techniques can be utilized to assess and optimize important extrusion parameters.</li><li>Rheological Testing: Discover how rheological measurements can evaluate polymer structure, processability, and performance.</li><li>FTIR Microscopy Mapping: Explore how FTIR microscopy mapping aids in understanding the structure of polymer blends.</li><li>Compatibilizer Benefits: Gain insights into how the addition of a compatibilizer can improve the mechanical properties of immiscible polymer blends.&nbsp;</li></ul><h4><strong>Attend This Webinar to:</strong></h4><ul><li>Enhance your knowledge of polymer upcycling and reactive extrusion.</li><li>Learn about cutting-edge analytical techniques for evaluating key process parameters.</li><li>Discover how to optimize polymer processing for improved sustainability and performance.</li></ul><h4><strong>Ideal For Those Who:</strong></h4><ul><li>Explore advanced methods for polymer recycling.</li><li>Develop eco-friendly processing technologies.</li><li>Optimize workflows for circular material use.</li><li>Apply cutting-edge techniques for polymer analysis.</li><li>Implement scalable, sustainable recycling solutions.</li><li>Want to gain insight into next-generation polymer recovery.</li></ul><blockquote><p><strong>Presenter:</strong> Lucivan Barros, Ph.D., Senior Applications Scientist, Thermo Fisher Scientific</p><p>Lucivan Barros is a Senior Applications Scientist at Thermo Fisher Scientific, specializing in extrusion and rheology applications. He earned his Ph.D. in Macromolecular Science from Case Western Reserve University. With expertise in polymer processing, materials development, and structure–property relationships, he is dedicated to advancing sustainable materials and supporting innovation in polymer processing and characterization.</p><p><strong>Presenter: </strong>Ron Rubinovitz, Ph.D., Senior Applications Scientist, Thermo Fisher Scientific</p><p>Ron Rubinovitz, Ph.D. is a Senior Applications Scientist with 14 years of experience at Thermo Fisher Scientific working with FT-IR applications including FT-IR microscopy, FT-Raman spectroscopy and chemometrics. &nbsp;Ron obtained his Ph.D. in physical chemistry at the University of Pennsylvania utilizing FTIR and continues to use the benefits of the FTIR techniques in numerous applications.</p></blockquote></div></div>

Thermo Fisher Scientific: Polymer Upcycling via Reactive Extrusion: FTIR Microscopy Insights into Blend Compatibilization

Polymer Upcycling via Reactive Extrusion: FTIR Microscopy Insights into Blend Compatibilization

Join Thermo to explore reactive extrusion, FTIR mapping, and compatibilizer effects for efficient, sustainable polymer upcycling and improved blend quality.

Polymer Upcycling: FTIR Microscopy Insights

<p><strong>Today’s demanding GC and GC/MS applications have pushed the boundaries of GC column phase technology. Features such as improved inertness, robustness and low-bleed chemistries are now necessary to meet the needs for lower detection limits and faster analysis time that GC analysts require. While recent improvements in traditional phenylmethylpolysiloxane phases have occurred, very little had been done with another important group of GC columns, polyethylene glycol columns, also known as WAX columns.&nbsp;</strong></p><p>Since the introduction of DB-WAX Ultra Inert a few years ago, Agilent have also recently introduced new WAX columns, DB-FATWAX UI and DB-HeavyWAX, that are designed to meet the demands of today’s labs. In this webinar, we will discuss the advances in WAX column technology, the benefits of each of these columns, and what applications they may be able to help.</p><blockquote><p><strong>Presenter: </strong>Gustavo Serrano-Izaguirre (Global Product Manager - GC Columns, Agilent Technologies, Inc.)</p><p>Gustavo Serrano is the GC Columns Product Manager at Agilent Technologies in Wilmington, Delaware, USA. Gustavo has a broad background in GC technologies, including experience as an R&amp;D scientist and Product Manager at Sigma-Aldrich/Supelco, where he worked on the development and commercialization of novel GC stationary phases. He has also published extensively in the fields of portable micro GC systems, GC columns and micro thermal modulators for GC×GC applications. Gustavo holds a PhD in Environmental Health Sciences from the University of Michigan, and an MBA from the University of Indiana – Bloomington.</p></blockquote>

Agilent Technologies: Becoming a Better Chromatographer - Educational Webinar Series

WAX Column Technology for Today’s Lab: Updates That Matter

Discover Agilent’s new DB-WAX UI, DB-FATWAX UI, and DB-HeavyWAX GC columns—advanced WAX technology offering superior inertness, robustness, and low bleed.

WAX Column Technology for Today’s Lab

<div><div id="inner_content_body_text" data-content-id="394785"><p><strong>Carbon Capture, Utilization, and Storage (CCUS) is vital to reaching global net-zero targets. Monitoring impurities such as sulfur compounds, oxides of nitrogen, oxygen, and water is critical to maintaining pipeline integrity, safety, and environmental compliance.</strong></p><p>Join us to explore how advanced gas analysis technologies - Fourier Transform Infrared (FTIR) spectroscopy and mass spectrometry - provide real-time insight into CO₂ purity and process performance. We’ll also discuss how these tools enable efficient production of electro-fuels (e-fuels), where captured CO₂ and renewable hydrogen are converted into sustainable, “drop-in” alternatives to fossil fuels.</p><p><strong>Join the free webinar with certification of attendance now.</strong></p><h5><strong>Attend This Webinar to:</strong></h5><ul><li>Understand the critical role of monitoring impurities to maintain pipeline integrity and ensure safe operation.</li><li>Discover how <strong>Fourier Transform Infrared (FTIR) spectroscopy </strong>enables precise, online monitoring of CO₂ purity and impurity profiles in CCUS pipelines.</li><li>Learn how <strong>FTIR's real-time</strong>, multi-component analysis ensures that captured CO₂ meets specifications required for safe transport and storage - whether for sequestration or utilization.</li><li>Explore how captured CO₂ is combined with green hydrogen to produce synthesis gas, a feedstock for manufacturing e-fuels - a class of sustainable, drop-in fuels designed to replace fossil-derived energy sources.</li><li>Learn about mass spectrometry as a proven solution for demanding environments, offering fast cycle times for high-throughput operations, versatile analytical methods for complex gas mixtures, and high reliability with low cost of ownership.</li></ul><h5><strong>Ideal For:</strong></h5><ul><li>Individuals in the carbon capture value chain in the following disciplines:<ul><li>Academia: colleges &amp; universities; research institutes</li><li>CCUS technology providers</li><li>Food &amp; Beverage packagers</li><li>Government R&amp;D labs, regulatory agencies</li><li>Industrial manufacturing such as cement, chemicals, iron &amp; steel, oil &amp; gas</li><li>Pipeline owners</li><li>Power plants, electric utilities</li><li>Specialty gas companies</li><li>Waste facilities, incinerators</li></ul></li></ul><blockquote><p><strong>Presenter:</strong> Samuel Evans, Senior Sales Development Manager, Thermo Fisher Scientific</p><p>Samuel Evans is a highly accomplished Senior Sales Development Manager at Thermo Fisher Scientific. He holds a PhD in Chemistry, specializing in heterogenous catalysis, which has made him an authority in the field of gas analysis. Samuel's primary focus lies in engaging with customers within the clean energy sector across EMEA and North America. Leveraging his technical expertise, he tailors solutions to meet the unique requirements of each customer in this rapidly evolving industry.&nbsp;</p><p><strong>Presenter: </strong>Daniel Merriman, Senior Advisor, Process Analyzers, Thermo Fisher Scientific</p><p>Daniel Merriman has worked in the field of process analytics since joining the former VG Instruments business in 1988 now a part of Thermo Fisher Scientific, holding many positions in technical, sales and marketing – he is now supporting the strategic marketing group within the Environmental and Process Monitoring business of Thermo Fisher Scientific.</p></blockquote></div></div>

Thermo Fisher Scientific: Achieving Net-Zero: Precision Monitoring in CCUS and Downstream Chemicals

Achieving Net-Zero: Precision Monitoring in CCUS and Downstream Chemicals

Learn how FTIR and MS enable accurate CO₂ impurity monitoring for CCUS and e-fuel production, ensuring pipeline integrity.

Precision Monitoring in CCUS and Downstream Chemicals

<div><p><strong>More than 400 million tonnes of plastic waste are produced each year, yet under 9% is recycled. Achieving effective plastic recycling at scale, and meeting circular economy goals, depends on robust chemical characterisation to control quality, pinpoint trace contaminants, and optimise both chemical and mechanical recycling routes.</strong></p><p>The focus of this webinar is on the characterisation of recycled polymers and pyrolysis oils using advanced GC×GC–TOF MS hardware and software workflows. You’ll learn how rigorous chemical characterisation improves separation, detection and data processing, supporting routine quality control and raising product standards. Applied in practice, these techniques improve the recycling process, enhance the quality of recycled fuels and materials, and support a more sustainable future.</p><h5><strong>Key Learning Objectives:</strong></h5><ul><li>Understand the basics of GC×GC–TOF MS and how it extends beyond standard GC for complex mixture analysis.</li><li>Learn about the latest advances in analytical hardware for characterising biofuels and recycled polymers.&nbsp;</li><li>Find out how automated software workflows can speed up data processing and interpretation.</li><li>Explore the latest GC×GC applications including the analysis of sustainable aviation fuels, pyrolysis oils, and many more.</li></ul><h5><strong>Who Should Attend:</strong></h5><ul><li>Analytical Chemists and Chromatographers</li><li>Laboratory Managers and QC Scientists in plastics recycling or biofuel industries</li><li>Sustainability-focused R&amp;D professionals</li><li>Anyone interested in advancing circular economy practices through analytical chemistry</li></ul><blockquote><p><strong>Presenter:</strong> Anthony Buchanan (Global Petrochemical Market Development Manager, SepSolve Analytical)</p></blockquote></div>

C&EN: Unpacking plastic packaging: developments in recycled polymer and novel fuel analysis using GC-MS

Unpacking plastic packaging: developments in recycled polymer and novel fuel analysis using GC-MS

How GC×GC–TOF MS improves chemical characterization, boosts QC, and supports sustainable recycling of polymers and pyrolysis oils using advanced workflows.

Developments in recycled polymer and GC-MS fuel analysis

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div><p><strong>Recent incidents of cough syrup contamination have led regulatory authorities worldwide, including the FDA, WHO, and CDSCO, to tighten oversight on ethylene glycol (EG), diethylene glycol (DEG), and similar excipients level in pharmaceutical products. With new mandates requiring rigorous testing of all raw materials and excipients, analytical labs now face increasing pressure to demonstrate both accuracy and compliance in glycol testing.</strong></p><p>Join our Ask the Expert session to hear directly from our experts on how validated GC-FID workflows can help your lab meet evolving regulatory expectations with confidence.</p><p>In this interactive session, our experts will address real-world questions around method setup, validation, and troubleshooting, while sharing practical insights on achieving consistent, reproducible results aligned with USP, IP, and WHO guidelines.</p><p>Whether you’re establishing an in-house testing method or optimizing your existing workflow, this session will help you ensure that every test run and every product released stands up to the highest standards of purity and regulatory compliance.</p><blockquote><p><strong>Presenter:</strong> Dr. Kuldeep Sharma (Business Development Manager - Pharma, Agilent Technologies)</p><p>Dr. Kuldeep Sharma has over 23 years of experience in area of pharmaceuticals analytical R&amp;D, analytical method development &amp; validation, clinical &amp; pre-clinical studies and regulatory compliance. With a Doctorate of Philosophy in Biotechnology, His professional journey covers a true blend of Technical and Commercial industry insight with over 13 years as Analytical Research Scientist (with leading Pharma companiese.g. Zydus Cadila, Lambda, Teva and Jubilant Biosys) and recent10 years as techno-commercial expert leading Analytical instruments sales strategies and marketing initiatives.</p><p>During his industry experience, he had accomplished leading roles in domains covering conduct of Analytical research, Pharma quality compliance, Pre-Clinical and analytical studies. With over 21 research articles published in international Journals and 5 technical write-ups in leading magazines; He presents convention ofcontinues learning enabling him acquire advance certifications of Lean Six Sigma-Black Belt and MBA (Operations Management) in continuation to his professional journey.</p><p>Presently he is associated with AGILENT Technologies as Sales Development Manager- Pharmaceuticals Markets (India).</p><p><strong>Presenter: </strong>Mr. Praveen Arya (Application Engineer, Agilent Technologies)</p><p>Praveen Arya, Application Engineer at Agilent technologies, has a commitment and appreciation for Gas-phase residue applications. In 2005, Praveen completed his M.Sc. in Food Technology. After post-graduation, he served as a Senior Analyst at SGS, Gurgaon- a commercial testing laboratory for 6 years and developed expertise in Residue analysis using high-end chromatographic instruments such as LCMS and GCMS. In 2011, He joined Agilent Technologies as an Application Engineer where he supported country-wide GCMS customers for resolving application issues and method development. He has more than 20 years of experience in residue analysis in food and environmental samples using various high end chromatographic and spectrometric techniques (GC, GCMS, GCMS/MS, TDS, Headspace, Purge &amp; trap etc.). His area of specialization includes new analytical method development and validation as per national and international guidelines.</p></blockquote></div></div></div>

Agilent Technologies:Ask the Expert: Ensuring Purity and Compliance in Glycol Testing

Ask the Expert: Ensuring Purity and Compliance in Glycol Testing

Discover how GC-FID methods help labs meet FDA, WHO and USP requirements for EG/DEG testing with reliable validation, accurate results, regulatory compliance.

Ensuring Purity and Compliance in Glycol Testing

<div><div container-id="cq-colctrl-lt0" comp-id="A1"><div><p><strong>This session will delve into model training, method validation, tips and tricks to improve or ensure method robustness and custom methods.</strong></p><p>Don't miss this opportunity to enhance your understanding and skills!</p><blockquote><p>First session: <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5748"><strong>Watch on-demand here</strong></a></p></blockquote><h5><strong>In this webinar, you'll learn:</strong></h5><ul><li>How to build method training&nbsp;</li><li>Method validation</li><li>How to ensure model robustness on the Vaya?</li><li>What is a custom method on Vaya?</li></ul><p>This webinar is beneficial for all Vaya users or any pharma/biopharma customers interested to know more on through-packaging raw materials identification.</p><blockquote><p><strong>Presenter:</strong> Chris Welsby (Raman ID Product Line Manager, Agilent Technologies)</p><p>Chris is a PhD chemist, graduating from Cardiff University in 2001 having studied heterogenous catalysis, now focusing on molecular spectroscopy products intended for the pharma industry, namely Spatially Offset Raman Spectroscopy (SORS) through barrier technology, to enable verification of raw material ID through packaging in the warehouse environment. Chris has worked as part of the marketing team on Spatially Offset Raman applications since 2016, firstly as an Applications Scientist and latterly as a Marketing Product Manager of the Vaya handheld for raw material ID.</p></blockquote></div></div></div>

Agilent Technologies: Tip and Tricks – How to Best Use the Handheld Raman Vaya

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