The human body is the most sophisticated atomic engineer. This idea underpins a breakthrough technology developed by an international research team led by scientists from the Czech Advanced Technology and Research Institute (CATRIN) at Palacký University Olomouc and the Centre for Energy and Environmental Technologies (CEET) at VSB – Technical University of Ostrava. By drawing inspiration from the way enzymes function in the human body, the researchers have created a novel material that could fundamentally change the industrial production of hydrogen peroxide and other important chemicals. The new approach simplifies the production process, eliminates the need for toxic organic solvents and expensive precious metals, and requires only sunlight, oxygen and water to operate. The results <a target="_blank" rel="noopener noreferrer" href="https://www.nature.com/articles/s41467-025-67189-3">were published by the prestigious journal Nature Communications</a>, which ranked the study among the 50 most significant scientific discoveries of the year.Hydrogen peroxide is one of the most important industrial chemicals. It is widely used not only in the chemical industry but also in pharmaceuticals, medicine, the textile industry and water-treatment technologies. The global hydrogen peroxide market is estimated to exceed USD 5 billion annually. Conventional production involves a multistep process that relies on toxic organic solvents and costly palladium-based catalysts. In addition, both the starting chemicals and the resulting waste products can have negative impacts on human health and the environment.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/CATRIN_Cesti_vedci_vyvinuli_material_pro_vyrobu_chemikalii_z_vody_a_slunce_Inspirovali_se_lidskymi_enzymy_2_c4d5ecbafb.webp" alt="CATRIN: Czech scientists develop a material for producing chemicals from water and sunlight, inspired by human enzymes" srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_CATRIN_Cesti_vedci_vyvinuli_material_pro_vyrobu_chemikalii_z_vody_a_slunce_Inspirovali_se_lidskymi_enzymy_2_c4d5ecbafb.webp 208w," sizes="100vw" width="1600" height="1200">“Our aim was to develop a material that enables the efficient, environmentally friendly and affordable production of hydrogen peroxide. When designing this photocatalyst, we were inspired by the structure and behaviour of enzymes in the human body. The result is a technology that does not require toxic organic solvents or expensive precious metals and instead uses a low-cost material based on carbon, nitrogen and copper. It operates in water using only sunlight and oxygen from the air,” said Radek Zbořil, leader of research teams at CATRIN and CEET.In developing the new photocatalyst, the Czech scientists mimicked the function of cytochrome c oxidase—an enzyme that enables human cells to obtain energy by transferring electrons to oxygen. This process relies on copper atoms embedded in the enzyme’s structure, and it was precisely this mechanism that the researchers sought to reproduce.“We very precisely replicated the chemical environment of metals within the enzyme’s structure and anchored copper atoms onto the surface of extremely small carbon nanoparticles with photocatalytic properties. When exposed to light, highly efficient electron transfer occurs between the carbon nanoparticles, the copper atoms and oxygen molecules. This process closely resembles an enzymatic reaction and enables high hydrogen peroxide production,” explained the first author of the study, Lukáš Zdražil, who is affiliated with both CATRIN and CEET.Producing hydrogen peroxide using sunlight and water has been a long-standing goal of research teams worldwide, as it eliminates the use of toxic organic solvents and avoids the formation of hazardous by-products. Until now, however, research in this area has largely remained at an academic level, mainly due to the use of noble metals and often complex photocatalyst designs. Laboratory studies have also resulted in relatively low hydrogen peroxide yields, which could not compete with existing industrial processes.“The new photocatalyst achieves hydrogen peroxide production rates up to two orders of magnitude higher than all previously reported systems, bringing us much closer to industrial requirements. In addition, the material is completely non-toxic, easily recyclable and reusable,” added Zdražil.The Czech teams are now focusing on potential applications of this technology in decentralised production units. Such systems could enable efficient, local production of hydrogen peroxide, for example for use in agriculture, pharmaceutical manufacturing or environmental applications. The combination of solar energy and materials inspired by enzymatic systems may also lead to further promising advances.“I believe that mimicking the structures and functions of iron- and copper-based enzymes could pave the way for other innovative technologies in the chemical industry and pharmaceuticals, such as the production of epoxides, alcohols or phenols,” concluded Zbořil.

 Czech scientists develop a material for producing chemicals from water and sunlight, inspired by human enzymes

In the week from February 23, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry<blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars">👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</a></h4>👉 Search and filter in the largest global database with over 5 500 GC, LC, MS and spectroscopy webinars.</blockquote><h5>1. Thermo Fisher Scientific: Lunch and Learn Tips and Tricks Series – Qtegra Part 1</h5><ul><li>Tu, 24.2.2026 13:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5795">Registration</a></li></ul>Explore practical Qtegra ISDS workflows to boost trace elemental analysis quality and laboratory productivity, and learn how integrated tools help you get more from your instrumentation.<h5>2. LECO: Total Sulfur and Carbon Determination in Cement and Raw Materials</h5><ul><li>Tu, 24.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5938">Registration</a></li></ul>Join Lloyd Allen for a practical webinar on total sulfur and carbon analysis in cement materials using the LECO SC832, including ASTM C150 compliance and furnace configuration insights.<h5>3. Technology Networks: Real-Time In-Line Insight for Therapeutic Protein Production</h5><ul><li>Tu, 24.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5796">Registration</a></li></ul>Discover how real-time, in-line Raman monitoring improves control and consistency in therapeutic protein manufacturing by delivering actionable insights across downstream operations.<h5>4. SelectScience: Cruise Through Genomics Quantification and QC with Lunatic</h5><ul><li>Tu, 24.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5837">Registration</a></li></ul>Learn how Lunatic enables fast, dye-free DNA and RNA quantification for NGS and biobanking, delivering accurate concentration and purity data from 96 samples in under 10 minutes.<h5>5. Bruker: Accelerating Soil Health Assessment – High-Throughput Analysis with IR and EPR Spectroscopy</h5><ul><li>Tu, 24.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5758">Registration</a></li></ul>Discover how IR and EPR spectroscopy enable rapid, high-throughput soil analysis—from carbon, clay, and pH to free radicals and metals—supporting scalable soil health and contamination monitoring.<h5>6. Agilent Technologies: Microplastics in Wastewater – A Population Based Approach to Identifying Potential Sources</h5><ul><li>Tu, 24.2.2026 21:30 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/2531">Registration</a></li></ul>Using LDIR within a closed wastewater treatment system, this webinar explores quantification of microplastics at different stages to identify potential contamination sources.<h5>7. Mettler-Toledo: Dynamic Mechanical Analysis (DMA)</h5><ul><li>Th, 26.2.2026 16:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5734">Registration</a></li></ul>Join this webinar to understand DMA principles, viscoelastic behavior, and practical applications for material testing across industries.<h5>8. Bruker: Enhanced Data Capture for 3D Optical Profilers</h5><ul><li>Th, 26.2.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinar/5911">Registration</a></li></ul>Discover Enhanced Data Capture metrology and learn how it delivers richer, more reliable measurements on steep, rough, and complex surfaces, including live demonstrations and real-world applications.

Webinars LabRulezICPMS Week 09/2026

Matrix effects significantly limit accurate nanoparticle sizing in single-particle ICP-MS, often causing signal attenuation and size underestimation. This study systematically evaluates matrix-induced biases and reports up to 10 nm underestimation of Ag nanoparticle sizes due to 30–50% signal loss.To overcome these challenges, a novel online internal standard calibration strategy was developed using multielement detection and nonanalyte elements (Pd, Au) as internal standards. Simultaneous measurement of analyte and standards enabled correction of signal response and nebulization efficiency within a single run. The optimized approach provided accurate particle size determination in simulated and real matrices, extending SP-ICP-MS applicability to complex environmental and biological samples.<blockquote><h4>The original article</h4><h4><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975">A Simple Online Internal Standard Calibration Strategy for Single-Particle Inductively Coupled Plasma Mass Spectrometry Based on Multielement Analysis</a></h4>Xiangwei Tian, Ying Wang, Peijie Yang, Dingyi Wang, Yanwei Liu, Yingying Guo, Yuning Hu*, Xiaoyan Zhang*, Ligang Hu, Yongguang Yin*, Yong Cai, and Guibin JiangAnal. Chem. 2025, 97, 51, 28139–28147<a target="_blank" rel="noopener noreferrer" href="https://doi.org/10.1021/acs.analchem.5c06975">https://doi.org/10.1021/acs.analchem.5c06975</a><h6>licensed under <a target="_blank" rel="noopener noreferrer" href="https://creativecommons.org/licenses/by/4.0/">CC-BY 4.0</a></h6></blockquote>Selected sections from the article follow. Formats and hyperlinks were adapted from the original.<div>Nanoparticles (NPs) are ubiquitous in environmental and biological systems. <a href="javascript:void(0);">(1)</a> In the environment, billions of tons of natural NPs are formed annually through biogeochemical processes. <a href="javascript:void(0);">(1)</a> Engineered NPs are widely utilized in industrial, medical, and consumer products and inevitably released into the environment. <a href="javascript:void(0);">(2)</a> In biological systems, NPs can be endogenously formed <a href="javascript:void(0);">(3)</a> or acquired from environmental exposure. <a href="javascript:void(0);">(4)</a> Functional NPs can also be intentionally delivered into biological systems as probes or drugs. <a href="javascript:void(0);">(5−7)</a> Variations in physicochemical properties of NPs, such as size and elemental composition, can influence their distribution patterns and effects within environmental and biological systems. <a href="javascript:void(0);">(8,9)</a> Therefore, it is of great significance to resolve particle heterogeneity at the single-particle level. Single particle inductively coupled plasma mass spectrometry (SP-ICP-MS), with its high-throughput and sensitive capabilities for elemental and isotopic analysis, plays a key role in single-particle analysis. <a href="javascript:void(0);">(10,11)</a>Environmental particles always exist in complex or unknown matrices, such as ice cores, <a href="javascript:void(0);">(12)</a> wastewater, <a href="javascript:void(0);">(13)</a> and seawater. <a href="javascript:void(0);">(14)</a> Biological matrices are even more intricate, typically containing high concentrations of inorganic salts and organic matter. Matrix effects pose significant challenges for SP-ICP-MS analysis of environmental and biological samples. <a href="javascript:void(0);">(15)</a> Matrix effects on ICP-MS are generally categorized into spectral and nonspectral interferences. <a href="javascript:void(0);">(15)</a> Spectral interferences arise from isobaric overlaps or polyatomic ions (e.g., ArCl+ from Cl– interfering with 75As detection), which can often be eliminated using collision/reaction cell technique. <a href="javascript:void(0);">(16)</a> Nonspectral interferences refer to matrix-induced changes in signal intensity. <a href="javascript:void(0);">(17)</a> For instance, NaCl can suppress signal intensity, whereas low concentrations of methanol may lead to signal enhancement. Changes in signal intensity further contribute to errors in mass/size measurement. It was reported that a 4.5 g L–1 NaCl matrix caused underestimation of As(0) NP and Ag NP sizes by 28% and 41%, respectively, while a 2% methanol matrix resulted in overestimations of approximately 6% and 20%. <a href="javascript:void(0);">(17)</a> Common strategies to address nonspectral interferences include sample dilution and matrix matching. <a href="javascript:void(0);">(15)</a> However, dilution pretreatments would greatly reduce the analytical throughput, and changes in matrix concentration may affect the properties or state of the analyte. In real-world samples, the matrices are always complex, making it difficult to prepare solutions with exactly the same composition for matrix matching. Isotope dilution analysis (IDA), which involves enriched isotopes of the analyte element for signal response correction, is another established approach. <a href="javascript:void(0);">(18−20)</a> Nevertheless, due to strict requirements on matrix types, isotope properties, and analyte concentrations, IDA has limited applicability to real-world sample measurements. Furthermore, among the previously reported methods, the potential influence of the matrix on particle nebulization efficiency has not been fully considered, <a href="javascript:void(0);">(18,21,22)</a> leaving quantitative uncertainties. <a href="javascript:void(0);">(17)</a> The online droplet calibration method based on the microdroplet generator and ICP-time-of-flight (TOF)-MS considers matrix effects on both signal response and nebulization efficiency; <a href="javascript:void(0);">(15,23)</a> however, the technical barriers and high cost largely limit its broader adoption. Till now, due to the lack of practical calibration methods, the characterization of NPs in real matrices typically involves laborious extraction procedures. <a href="javascript:void(0);">(24,25)</a> A need exists to develop a simple and reliable calibration strategy suitable for the measurement in the original matrix.In this study, we first systematically investigated the specific matrix effects on SP-ICP-MS and the underlying mechanisms based on the fundamentals of ICP-MS. The influence of time resolution on multielement detection was explored from multiple analytical perspectives. To address limitations of previous methods, we proposed a simple and reliable online internal standard calibration method, which largely eliminates matrix effects on size/mass determination by SP-ICP-MS. By utilizing the multielement detection mode, the signals of the analyte element(s) and internal standard elements can be monitored within the same analytical run, allowing for simultaneous correction of the response factor, nebulization efficiency, and time-dependent signal fluctuations. Notably, the novel calibration strategy involving the use a nonanalyte element as the internal standard for signal response calibration was developed and validated. The proposed method demonstrated high feasibility and reliability when applied to simulated real-world samples. It is also applicable to single-particle analysis using other types of ICP-MS (e.g., ICP-TOF-MS) and shows promise for application in single-cell ICP-MS analysis.<h4>Experimental Section</h4><h5>SP-ICP-MS Analysis</h5><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=7900+ICP-MS">Agilent 7900 ICP-MS</a> (Agilent Technologies; Santa Clara, CA, USA) equipped with a quadrupole mass analyzer was used for SP-ICP-MS analysis. Instrument parameters are given in <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c06975/suppl_file/ac5c06975_si_001.pdf">Table S2</a>. The sample introduction system was composed of syringe pumps (Leifu Fluid; Baoding, China), a Mira Mist nebulizer (Burgener; Mississauga, Ontario, Canada), and a quartz dual-channel spray chamber (Agilent Technologies; Santa Clara, CA, USA) (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig1">Figure 1</a>). The total sample flow rates were 300 μL min–1 for all the experiments. Additionally, a more accessible introduction approach using the instrument’s integrated peristaltic pump was also tested (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c06975/suppl_file/ac5c06975_si_001.pdf">Figure S2</a>). Matrix effects on SP-ICP-MS analysis was investigated under the conventional single-element mode. The dwell time was 5 ms, with no stabilization time. The final inlet concentrations of Ag NPs and Au NPs were 50 ng L–1 (∼4.2 × 104 particles mL–1) and 25 ng L–1 (∼4 × 104 particles mL–1), respectively.<h4>Results and Discussion</h4><h5>Matrix Effects on SP-ICP-MS and the Underlying Mechanisms</h5>In the UPW matrix, the particle sizes determined by SP-ICP-MS (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig2">Figure 2</a>A) were consistent with those measured by TEM (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c06975/suppl_file/ac5c06975_si_001.pdf">Figure S1A</a>). The most direct impact of matrix effects was observed as changes in the analyte signal intensity. Both the typical environmental and biological matrices we selected resulted in signal attenuation for the target elements. More pronounced signal attenuation was observed in the salt matrices with increasing concentration. Compared to measurements in UPW, the signal intensity of Ag NPs decreased by approximately 32% and 46% in DSW and PBS, respectively. Correspondingly, without matrix-matching correction, the particle sizes of Ag NPs were underestimated by approximately 12% and 19% in DSW and PBS, respectively (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig2">Figure 2</a>A).<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_51_28139_28147_Figure_2_A_Particle_size_distribution_of_Ag_N_Ps_in_different_matrices_without_matrix_matching_f97e96e68c.jpeg" alt="Anal. Chem. 2025, 97, 51, 28139–28147: Figure 2. (A) Particle size distribution of Ag NPs in different matrices without matrix matching. The gray line and band denote the mean and standard deviation of the particle size determined by TEM. (B) Nebulization efficiency of Au NPs in different matrices. The letters on columns indicate the statistical difference obtained from one-way ANOVA test (p &lt; 0.05). (C) Signal intensity of standard Au NPs and AuCl4– solution in different matrices." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_51_28139_28147_Figure_2_A_Particle_size_distribution_of_Ag_N_Ps_in_different_matrices_without_matrix_matching_f97e96e68c.jpeg 245w," sizes="100vw" width="2100" height="537">Matrix-induced attenuation/enhancement of signal intensity fundamentally arise from changes in the transport efficiency of the analyte. Transport efficiency is defined as a combination of several components (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig1">Figure 1</a>): (i) the aerosol introduction efficiency (or nebulization efficiency) from the sample introduction system (typically comprising a nebulizer and spray chamber) to the ICP torch, as calculated using <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#eq1">Equation 1</a>) or <a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#eq2">2</a>); (ii) the ionization efficiency of the analyte within the ICP torch; and (iii) the subsequent extraction and transport efficiency of ions from the sampling cone to the detector.<h5>Validation of Online Internal Standard Calibration</h5><a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig4">Figure 4</a>A displays the Ag NP size distribution determined when the three inlet streams (Ag NP suspension, Au NP suspension, and Pd solution) were mixed at equal flow rates (3 × 100 μL min–1). For all the matrices, the measured particle sizes showed good agreement with the actual sizes determined by TEM. Note that since both the Au NP suspension and Pd solution were prepared using UPW, the matrix containing analyte Ag NPs would be diluted upon online mixing. For real-world samples, excessive dilution could potentially change sample properties and reduce measurement throughput. To prevent excessive dilution, the calibration results were further assessed under conditions of reduced internal standard flow rates (Ag NP flow rate: 260 μL min–1; internal standard flow rates: both 20 μL min–1) (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig4">Figure 4</a>B). Furthermore, an offline spiking approach was also tested by adding both the internal standards directly into the sample suspension (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c06975/suppl_file/ac5c06975_si_001.pdf">Figure S7A</a>). The measured sizes also agreed well with the true values. For easier access and use, online mixing using a peristaltic pump was also tested and demonstrated to accurately determine the particle sizes (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/suppl/10.1021/acs.analchem.5c06975/suppl_file/ac5c06975_si_001.pdf">Figure S7B</a>). The results demonstrate that neither the introduction approach and the mixing ratio affected the calibration performance, suggesting the high reliability and flexibility of the internal standard calibration method.<img src="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/Anal_Chem_2025_97_51_28139_28147_Figure_4_A_B_Particle_size_distribution_of_Ag_N_Ps_in_different_matrices_measured_by_the_internal_standard_calibration_method_4ca8d3833d.jpeg" alt="Anal. Chem. 2025, 97, 51, 28139–28147: Figure 4. (A, B) Particle size distribution of Ag NPs in different matrices measured by the internal standard calibration method. (A) Flow rates of the analyte and internal standards were all 100 μL min–1. (B) Flow rates of the analyte and internal standards were 260 and 20 μL min–1, respectively. (C, D) Particle size distribution of Ag NPs in natural seawater (C) and human urine (D) matrices measured by external standard calibration or online internal standard calibration method. the flow rates of the analyte and internal standards were 260 and 20 μL min–1, respectively. The gray lines and bands denote the mean and standard deviation of the particle size determined by TEM." srcset="https://storage.googleapis.com/labrulez-bucket-strapi-h3hsga3/thumbnail_Anal_Chem_2025_97_51_28139_28147_Figure_4_A_B_Particle_size_distribution_of_Ag_N_Ps_in_different_matrices_measured_by_the_internal_standard_calibration_method_4ca8d3833d.jpeg 189w," sizes="100vw" width="1433" height="1184">Further, we evaluated the performance of the proposed method in handling real biological (human urine) and environmental (natural seawater) matrices (<a target="_blank" rel="noopener noreferrer" href="https://pubs.acs.org/doi/10.1021/acs.analchem.5c06975#fig4">Figure 4</a>C and D). In addition to high salt concentrations, both matrices contain abundant organic matter, which pose challenges to accurate SP-ICP-MS analysis. Without matrix matching, the sizes of Ag NPs in both matrices were significantly underestimated. Particularly in seawater, the size was underestimated by nearly 20 nm. Using the online internal standard calibration, the median sizes of Ag NPs in diluted seawater and urine matrices were 58.9 and 58.5 nm, respectively, in close agreement with those determined by TEM. Notably, the sizes of Ag NPs in undiluted real matrices can also be accurately determined, facilitating the measurement of environmental particles in the original matrix.<h4>Conclusions</h4>In this study, we addressed the significant challenge of matrix effects in SP-ICP-MS for accurate mass/size determination in complex environmental and biological samples. We elucidated the specific matrix effects on nebulization efficiency, ionization efficiency, and ion transport. It was demonstrated that Ag NP signal intensity decreased by approximately 32% and 46% in DSW and PBS, respectively, leading to underestimated particle sizes (12% and 19%, respectively). To address these issues, we developed and validated an online internal standard calibration strategy employing multielement detection with nonanalyte elements as internal standards. By simultaneously monitoring analyte (Ag) and internal standard elements (Au for nebulization efficiency, Pd for response factor) within a single analytical run via the peak-hopping mode, we achieved real-time correction for matrix-induced variations. Optimized time-resolution conditions, particularly a 5 ms dwell time, ensured a high probability of complete event acquisition (81.8%) while minimizing particle overlapping. The measured sizes of Ag NPs in simulated (DSW and PBS) and real (natural seawater and human urine) matrices that showed good agreement with true values. The proposed method demonstrated high reliability and flexibility, regardless of the internal standard mixing ratio (e.g., 100:100:100 or 260:20:20 μL min–1), introduction approach, and sample dilution levels. In contrast to enriched isotope internal standards, which proved ineffective in anion-rich matrices due to chemical reactions, the presented nonanalyte internal standards offer enhanced adaptability across various matrices.This reliable and flexible method significantly extends the applicability of SP-ICP-MS to direct analysis of complex samples without laborious pretreatments. The potential for the measurement in the original matrix is particularly meaningful for single-cell analysis, allowing direct analysis of living cells in biological matrices. Note that the theory and method validated with Ag NPs are also applicable to the quantification of other elements in particles or cells. As a simplified alternative to the established online microdroplet calibration, <a href="javascript:void(0);">(23)</a> the proposed strategy shows great promise in the integration of advanced ICP-TOF-MS platforms for simultaneous calibration of multiple analyte elements.</div>

A Simple Online Internal Standard Calibration Strategy for Single-Particle Inductively Coupled Plasma Mass Spectrometry Based on Multielement Analysis

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Scientific article

Science and research

The Czech Advanced Technology and Research Institute (CATRIN) at Palacký University is a cutting-edge scientific hub dedicated to advancing research in the fields of nanotechnology, biotechnology, and biomedicine. At its core, CATRIN boasts outstanding scientific teams, featuring international researchers. We emphasize interdisciplinarity, foster global collaborations, and work to translate our research findings into practical applications.

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Join us in this presentation to find out how the state-of-the-art ICP-OES technology can help you to improve your elemental analysis in samples containing up to 30% of total dissolved solids.
<blockquote>
Presenter: Ana García González (Atomic Spectroscopy Application Scientist, Agilent Technologies)
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<blockquote>
Ana Garcia is the Atomic Spectroscopy Application Scientist at Agilent Technologies. Ana has a broad background in atomic spectroscopy technologies, including international experience developing and validating analytical spectroscopy methods for the geochemical industry. She has also published in the fields of molecular spectroscopy and chemometrics. Ana holds a MSc in plant Biotechnology at CINVESTAV, México, and a Bachelor of Science in Biotechnology Engineering.
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Presenter: Christopher Conklin (Product Specialist, Agilent Technologies, Inc.)
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After getting a degree from the University of Wisconsin – Eau Claire, Chris worked in, and led, a quality control lab testing fine chemicals ranging from reagent grade to high purity for 12 years. In that role, Chris ran a variety of atomic instruments and techniques including AA, ICP-OES, and ICP-MS. In 2018, Chris brought that knowledge and experience to his current role with Agilent as the Product Specialist for Atomic Spectroscopy supporting AA, MP-AES, and ICP-OES for the Eastern US.
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Agilent Technologies: Advances and Strategies in ICP-OES to Handle High-Matrix Samples

Advances and Strategies in ICP-OES to Handle High-Matrix Samples

How the state-of-the-art ICP-OES technology can help you to improve your elemental analysis in samples containing up to 30% of total dissolved solids.

Strategies in ICP-OES to Handle High-Matrix Samples

Applications in the world of UV-Vis instrumentation range from the simple routine measurement (i.e. absorbance at a single wavelength) to the more complex (i.e. thermal melts or in situ absorbance vs time measurements).
The focus of Part I of this two part series will be on entry level and the mid-performance instrumentation and what is needed to make a variety of measurements.
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Presenter: Mark Fisher, PhD (Application Engineer, Molecular Spectroscopy, Agilent Technologies, Inc.)
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Mark, an Application Scientist for Agilent Technologies, has over 30 years of experience in molecular spectroscopy. He has held roles in Agilent&#39;s UV-Vis-NIR, fluorescence, and atomic absorption product portfolios. In addition to identifying industry trends and new business needs, Mark&#39;s responsibilities include application development, pre and post-sales support, as well as acting as a customer advocate for new product and technology opportunities. Mark received his doctorate in analytical chemistry from the University of Nebraska-Lincoln.
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Agilnt Technologies: UV-Vis Instrumentation : From Routine to Advanced Applications Part I

UV-Vis Instrumentation : From Routine to Advanced Applications Part I

The focus of Part I of this two part series will be on entry level and the mid-performance instrumentation and what is needed to make a variety of measurements.

UV-Vis Instrumentation : From Routine to Advanced Apps

Working with spectral and chromatographic data often results in noisy data. The good news is, there is a simple and efficient way to extract the signals from the noise, enabling a deeper and better understanding of processes and products.
If you are working on product or process development problems, you might need to utilise spectral and chromatographic data to understand and confirm that the process is performing optimally and generates the desired product. Frequently, we may summarise these data by using estimates based on peak height, position, and shape. But using these summaries inevitably causes us to lose some information about our process. This can reduce the insights we gain from our data analysis process and can negatively impact the quality of our decisions.
Spectral and related data are inherently noisy. This webinar will present a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products. If you are a scientist or engineer collecting spectral, chromatographic, or similar data and want to gain deeper insight into the trends and outcomes, this webinar is for you.
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Presenter: Florian Vogt (Systems Engineer JMP, JMP Statistical Discovery)
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Before joining SAS Institute, Florian worked as a process engineer in research and development at Südzucker AG, where he was involved in process optimization, product development and process evaluation. Florian Vogt holds a Master of Science in Biotechnology.
</blockquote>
<blockquote>
Presenter: Emmanuel Romeu (Systems Engineer JMP, JMP Statistical Discovery)
</blockquote>
<blockquote>
Emmanuel is a pre-sales consultant for the chemical industry. Prior to joining JMP, Emmanuel worked for 25 years at Beckman-Coulter &gt; Diagnostic where he successively worked in industrialization, R&amp;D in medical diagnostics and finally as a statistician. He graduated in biological engineering from the University of Clermont-Ferrand and in statistics from the University of Strasbourg.
</blockquote>

Unsplash/Mika Baumeister: Making better use of Spectral and Chromatographic Data in product and process development

Making better use of Spectral and Chromatographic Data in product and process development

This webinar will present a simple and efficient way of extracting the signals from the noise for a deeper, better understanding of your processes and products.

Making better use of Spectral and Chromatographic Data

While the world of R&amp;D is moving towards digitalization, the unique challenges of analytical data management continue to cause difficulties.
In our 2022 Analytical data management survey we learned and confirmed that…
<ul>
<li>Analytical data is diverse with multiple techniques, instrument vendors, and software
</li>
<li>It is stored and managed in many applications
</li>
<li>The majority still find it difficult to access and share
</li>
</ul>
Analytical data is ingrained in numerous research, development, and QA/QC workflows. While a small minority are starting to apply it for data science applications, most struggle to provide easy digital access for its most common uses.
Join our panel of experts as they discuss the results of the 2022 survey; the challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.
Webinar Learning Objectives:
<ul>
<li>How analytical data heterogeneity can be addressed</li>
<li>Attributes of effectively managed analytical data</li>
<li>Considerations for using analytical data for data science projects</li>
</ul>
<blockquote>
Presenter: Nichola Davies (Director Structural Chemistry UK, Oncology R&amp;D, Astra Zeneca)
</blockquote>
<blockquote>
Nichola Davies completed her PhD studies in physical organic chemistry at the University of Cambridge, utilising NMR spectroscopy to investigate positively cooperative binding and the tightening of non-covalent bonds. Nichola then joined Pfizer (Sandwich, UK) as an NMR spectroscopist supporting the medicinal chemistry department, and implemented new techniques for structure elucidation and the application of novel NMR methodologies to support medicinal chemistry design strategies.
</blockquote>
<blockquote>
Having gained further experience in a wider range of analytical techniques, in 2014 she joined AstraZeneca (Cambridge, UK), as an NMR expert within the Oncology Chemistry R&amp;D Unit. Currently, as Director of the Structural Chemistry team, Nichola is delivering analytical techniques to support small molecule structural characterisation, purity and stability assessment, in addition to NMR free ligand conformational analysis and in-cell MS concentration assays.
</blockquote>
<blockquote>
Presenter: Mark Kwasnik (Global Product Manager, Analytical Labs, Solvay)
</blockquote>
<blockquote>
Mark Kwasnik is the Global Product Manager for the Analytical Labs at Solvay. In his role, Mark leverages digital tools in R&amp;I to reduce inefficiencies, increase responsiveness for customers. He works to accelerate the growth innovation pipeline by allowing the company’s scientists to access and use the thousands of data sets that are generated in Solvay’s R&amp;I labs.
</blockquote>
<blockquote>
Prior to his transfer to Solvay&#39;s digital department, he worked as an Analytical Lab Manager for the North American R&amp;D Center and as the Global Digital Transformation Manager for the Specialty Polymer business unit.
</blockquote>
<blockquote>
Mark received his B.S. in chemistry and forensic science from the University of Central Florida and a PhD in Analytical Chemistry, with a focus in BioAnalytical Mass Spectrometry, instrumentation development and informatics at the Georgia Institute of Technology.
</blockquote>
<blockquote>
Presenter: Graham A. McGibbon (Director, Strategic Partnerships, ACD/Labs)
</blockquote>
<blockquote>
Graham A. McGibbon is currently Manager of Scientific Solutions and Partnerships at Advanced Chemistry Development (ACD/Labs), a role which involves shaping innovative solutions with people in various industries, government organizations, academic institutions and enhancing relationships with organizations that supply analytical instrumentation and/or software.
</blockquote>
<blockquote>
Since obtaining a Ph.D. in Chemistry from McMaster University (Canada) Graham worked in drug discovery research at Boehringer Ingelheim conducting MS analyses of both small and large molecules; and researched modifications and interactions of bioactive small molecules and biopolymers as a faculty member at McMaster. Graham initially joined ACD/labs in 2007 as Product Manager leading the development of mass spectrometry software.
</blockquote>

The Analytical Scientist: How to Overcome the Challenges of Analytical Data Management

How to Overcome the Challenges of Analytical Data Management

The challenges related to analytical data that cross organizations and industries; and lessons learned through their own experience.

In this webinar, you will learn:
<ul>
<li>Learn about new possibilities for using Raman technology</li>
<li>Discover uses and benefits of Raman technology in quality control of cell culture media preparation</li>
</ul>
Detailed description: 
Process Analytical Technologies (PAT) are used to measure Critical Process Parameters (CCPs) which affect Critical Quality Attributes (CQAs). They are therefore particularly interesting for better process knowledge and control. Raman spectroscopy has already demonstrated very good results in real-time monitoring of main parameters of cell cultures. This technology could also be used in other steps of a manufacturing process. 
In this webinar, we will explore the possibilities of using Raman spectroscopy for quality control of cell culture media preparation. We will discuss the benefits of using this technology at this step and the demonstrated performances.
<blockquote>
Presenter: Nathan Gay (Bioprocess Applications Engineer)
</blockquote>
<blockquote>
Nathan Gay works as applications engineer at our company and is specialized in bioprocesses. He works on the implementation of Raman technology developing proofs of concept and researching new applications. Nathan has an engineer’s degree in biotechnology from the Ecole Nationale Supérieure de Technologie des Biomolécules de Bordeaux (ENSTBB), obtained in a work-study program with our company as an Industrialization Expert for the technology transfer between development and production in USP and DSP.
</blockquote>

MERCK: Monitoring and quality control of cell culture media preparation using Raman spectroscopy

Monitoring and quality control of cell culture media preparation using Raman spectroscopy

In this webinar, we will explore the possibilities of using Raman spectroscopy for quality control of cell culture media preparation.

Control of Cell culture media preparation Raman spectroscopy

In this ICP-MS MassHunter Software “How to…..” webinar series, we pick a most-frequent-asked topic each week and give a brief demonstration and discussion on the subject.
Topics include, but are not limited to, Building a batch template, Half mass correction, Reporting templates, and IntelliQuant, to name a few. You don’t want to miss them! Come with all your questions for our immediate answers!
<blockquote>
Presenter: Jenny Nelson, PhD (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Dr. Jenny Nelson is an Applications Scientist with Agilent Technologies specializing in Inductively Coupled Plasma Mass Spectroscopy (ICP-MS), Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Microwave Plasma Atomic Emission Spectroscopy (MP-AES). Her broad knowledge of atomic spectroscopy has been applied to both AOAC and ASTM through her serving on expert review panels, chairing committees, and volunteering to develop new methods needed by the industry.
</blockquote>

Agilent Technologies: ICP-MS MassHunter How To: What are and How to use Sublists

ICP-MS MassHunter How To: What are and How to use Sublists

We pick a most-frequent-asked topic each week and give a brief demonstration and discussion on the subject.

The identification of extractables, leachables and chemical migration is a challenge for manufacturers and suppliers of packaging materials, medical devices and food contact materials. E&amp;L analytics is already complex, but it is compounded by legislative and regulatory efforts to recycle plastics. Analytical methods need to screen for not only the known components but also identify degradants and other unexpected compounds. Manufacturers, producers and retailers face the challenge of keeping up with evolving requirements and developing and adapting strategies to reduce plastic waste.
Thus, ways are being explored to incorporate more recycled plastics into products and packaging while maintaining excellent safety, quality and performance characteristics. As they innovate and combine new materials, companies must demonstrate safety and confirm compliance before bringing their products to market. This again increases the demand and importance of highly effective analytics.
Participation is free of charge. Presentations delivered in English.
Register now for this virtual event and share knowledge and challenges with peers and E&amp;L experts.
Who Should Attend?
The webinars are focused on the needs of scientists working in the area of Extractables &amp; Leachables and Food Contact Materials. During these webinars, attendees will learn:
<ul>
<li>Upcoming and new regulations in the field of food, pharma, biopharma and medical devices</li>
<li>Targeted and non-targeted screening workflows by using Waters_Connect</li>
<li>Characterization and structural elucidation of unknowns</li>
<li>Choice of chromatographic techniques, extraction methods and analytical standards &amp; reagents</li>
</ul>
<h3>EPISODE 1 - Virtual European Workshop on Extractables &amp; Leachables for Pharma &amp; Biopharma</h3>
<h5>Presentation: A risk-based assessment approach to extractable/leachable studies of plastic components and systems used in (bio)pharmaceutical manufacturing</h5>
<h5>Presentation: The Pattern Targeting Application</h5>
Register now &amp; join the discussion!
<blockquote>
Presenter: Lijun Song (Bioprocess Validations Specialist, 3M)
</blockquote>
<blockquote>
Lijun Song is a Senior Validation Engineer at the 3M filtration validation laboratory located in Belgium. After her PhD in Medicinal Chemistry at Ghent University, she joined the 3M validation team in 2019. She focuses on filter compatibility validation and extractable/leachable studies.
</blockquote>
<blockquote>
Presenter: Mike Ludlow (Science Lead working in the CMCAnalytical and Materials Science Team, Drug Development Solutions (part of Alliance Pharma Inc))
</blockquote>
<blockquote>
Mike Ludlow is the Science Lead working in the CMCAnalytical and Materials Science Team within Drug Development solutions based in Cambridgeshire, UK (Formerly known as LGC). The team supports an extensive external client base providing a variety of chromatographic and spectroscopic techniques covering both organic and inorganic characterisation. He has over 20 year’s experience in pharmaceutical analysis primarily in the areas of extractables and leachables testing and the identification of impurities such as Nitrosamines in a GxP environment. Before working for DDS, he worked in the Corporate Analytical Function of ICI’s Chemicals and Polymers Division providing support to R&amp;D scientists developing speciality polymer products.
</blockquote>
<blockquote>
Presenter: Jeff Goshawk (Applied Informatics, Research &amp; Development, Waters Corporation)
</blockquote>
<blockquote>
Jeff holds a BSc degree in Mathematics from the University of Portsmouth and a PhD in Applied Mathematics from the University of Liverpool. He joined Micromass as a software developer in July 2000 and worked on the development of MassLynx and the application managers ChromaLynx, MarkerLynx and MetaboLynx. In 2013 Jeff changed role joining the Waters Scientific Operations organisation as a member of the toxicology group and was exposed to the disciplines of sample preparation and sample acquisition in addition to developing data processing workflows using UNIFI. In 2017 Jeff transitioned into the Applied Informatics group in Scientific Operations to help to solve problems not addressed by mainstream software solutions. It was in this role that development on the Pattern Targeting Application began.
</blockquote>

Waters Corporation: Virtual European Workshops on Extractables & Leachables for Pharma & Biopharma

Virtual European Workshops on Extractables & Leachables for Pharma & Biopharma

Register now for this virtual event and share knowledge and challenges with peers and E&L experts.

Extractables & Leachables for Pharma & Biopharma

For many applications in industry, the fluid bed granulator/dryer is an integral point in the manufacture of materials. Residual moisture must be kept within certain specifications to avoid fracturing of particles or caking (stickiness) of the bulk material. Current methods are slow and cumbersome, which can lead to damaged or degraded products. The ability to monitor the residual moisture content in-line is possible with near-infrared (NIR) spectroscopy which can improve the process efficiency, yield, and overall product quality.
Join us as Yusuf Sulub, Analytical Science Manager at SABIC, and Andrew Tatsch, Product Manager for Process Analytics Spectroscopy at Metrohm USA, present a robust real-time, in-line determination of high rubber graft (HRG) acrylonitrile butadiene styrene (ABS) resin moisture levels in a fluid bed dryer (FBD). They will discuss combining chemometrics and NIR spectroscopy to determine the moisture levels of HRG powders and explore how the calibration dataset was acquired from both offline and in-line FBD data to include dynamic process information.
Catch up with our experts during the live Q&amp;A session at the end of the presentation. 
<blockquote>
Presenter: Yusuf Sulub (Analytical Science Manager, SABIC)
</blockquote>
<blockquote>
Yusuf Sulub is the Analytical Science Manager at SABIC. He’s been with SABIC for over 11 years and during his tenure has developed and deployed myriad of spectroscopic based process analytical solutions for both pilot and manufacturing scale applications.
</blockquote>
<blockquote>
Yusuf holds a double major BSc degree in Mathematics and Chemistry from University of Nairobi. Yusuf also holds a PhD in Analytical Chemistry from the University of Iowa and has over 20 years of experience in chemometrics and process analytical technology.
</blockquote>
<blockquote>
Presenter: Andrew Tatsch (Process Spectroscopy Product Manager, Metrohm USA)
</blockquote>
<blockquote>
Andrew Tatsch is the Product Manager for Process Spectroscopy at Metrohm USA in Riverview, FL. He has a PhD in Aerospace Engineering from the University of Florida. Andrew started with Metrohm in May 2022, and spent most of his previous career in R&amp;D and product development of analytical instrumentation.
</blockquote>

Metrohm: In-Line Moisture Determination in a Fluid Bed Dryer Using NIR

In-Line Moisture Determination in a Fluid Bed Dryer Using NIR

A robust real-time, in-line determination of high rubber graft (HRG) acrylonitrile butadiene styrene (ABS) resin moisture levels in a fluid bed dryer (FBD).

In-Line Moisture Determination in a Fluid Bed Dryer by NIR

Early research in rechargeable Li-ion batteries stretches back as far as the 1960s with the first commercially available rechargeable battery becoming available in 1991. With the more recent onset of cellular telephones, electronic wearables, and electric vehicles, along with the drive toward green energy, there has been increasing interest in Li-ion battery technology that can provide greater energy density as well as greater safety and stability. This research has led to the development of many new anode, cathode, and electrolyte materials, all of which require elemental testing to verify purity and trace element content.
We will deliver a broad overview of Li-ion battery architecture and the raw materials that go into them, a discussion of preparation of standards for neat analysis of EC/DEC/DMC, a review of data collected from ICP-OES analysis of electrolyte solutions, and tips and tricks to improve the quality of your battery-related elemental analysis.
<blockquote>
Presenter: Greg Gilleland (Application Scientist, Agilent Technologies, Inc.)
</blockquote>
<blockquote>
Greg began his spectroscopy career in 1987 in Colorado, working at a series of environmental labs. After 14 years working in the world of commercial environmental labs, he moved on to a spectroscopy instrument manufacturer where he performed service and sales functions over the course of 11 years. He has been with Agilent Technologies, Inc., since 2012 in the role of Application Scientist for ICP-OES, MP-AES and AA products.
</blockquote>

Agilent Technologies: Elementar Analysis of Lithium-on (Li-ion) Batteries

Analysis of Major and Trace Constituents in Li-ion Battery Electrolyte Solutions using ICPOES

An overview of Li-ion battery architecture and the raw materials that go into them, a discussion of preparation of standards for neat analysis of EC/DEC/DMC.

Analysis of Li-ion Battery Electrolyte Solutions by ICP-OES

The switch to renewable energy sources and the need for efficient and cost-effective energy storage technologies has seen increased global demands for lithium-ion batteries and cathode materials. Monitoring the elemental concentrations and impurities of these products are important as they can impact the performance of a battery.
In this webinar we will discuss about how to set up an analysis for these challenging matrices on ICP-OES.
Speakers Sima Singha, PhD Sima Singha, PhD ICP-OES Application Scientist, Atomic Spectroscopy Agilent Technologies, Inc.
Sima has over fifteen years of hands on experience as an applications scientist in the field of atomic spectroscopy. Before joining Agilent in 2017, managed an agricultural chemistry laboratory for the analysis of water, soil, and plant tissue digests using ICP-OES for various EPA methods. She received a Ph.D. degree in Chemistry from the University of Illinois at Chicago with numerous peer-reviewed publications.

Elemental Analysis of Lithium-ion Battery Cathode Materials using an ICP-OES

In this webinar we will discuss about how to set up an analysis for challenging matrices of lithium-ion batteries and cathode materials on ICP-OES.

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