Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 12th January 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies, Shimadzu, and Waters Corporation and brochure by Thermo Fisher Scientific!<h3>1. Agilent Technologies: Detecting Spice Adulteration with the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR">Agilent 8700 LDIR</a> Chemical Imaging System</h3>Accelerating adulterant detection in turmeric with IR spectroscopy and imaging&nbsp;<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_spice_adulteration_8700_ldir_5994_8800en_agilent_235b48c7e6.pdf">Full PDF for download</a></li></ul>Spices are essential components of culinary practices worldwide, valued for their flavor, aroma, and health benefits. However, the intentional or accidental adulteration of spices with cheaper or foreign substances poses significant risks to both food quality and consumer safety. Adulteration practices often aim to increase product volume, enhance visual appeal, or mimic authentic flavors, compromising the integrity of the final product.1Common adulteration practices include substituting genuine plant materials with cheaper or visually similar ones, using inferior plant species or parts, and mixing with fillers such as corn starch, bran, or sawdust. Some products are also adulterated with chemicals to enhance flavor, inorganic substances such as sand, chalk, or red brick powder, or illegal dyes such as Sudan dyes and rhodamine B to intensify&nbsp;color.1–4&nbsp;Current tools for detecting adulteration in herbs and spices face several challenges. Sampling across complex supply chains often lacks consistency, making it difficult to obtain representative samples.5 The chemical and physical complexity of sample matrices, combined with natural variation among species and origins, complicates data interpretation.5&nbsp;In&nbsp;ground or powdered spices, the original plant structures are lost, making it difficult to visually or morphologically identify adulterants, particularly when they are fine or physically similar to the genuine&nbsp;material.6 An <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR">Agilent 8700 Laser Direct Infrared (LDIR) chemical imaging system</a> (Figure&nbsp;1) was used in this study to detect spice adulteration through the integration of infrared spectroscopy and&nbsp;microscopy<h4>Experimental&nbsp;</h4>Agilent Clarity software: To evaluate the 8700 LDIR's capability in distinguishing genuine spices from common adulterants, a series of pure and adulterated samples were prepared and analyzed using the system's automated Particle Analysis (PA) workflow.<h4>Results and discussion&nbsp;</h4><h5>Identification of pure spices (turmeric)&nbsp;</h5>To verify the 8700 LDIR and the user&nbsp;generated library in identifying particles of varying sizes, shapes, and counts, the pure turmeric sample was analyzed as an "unknown". Turmeric sample identification demonstrated high spectral matching accuracy. Within the selected analysis area, 74&nbsp;particles were detected and 70&nbsp;particles (94.6%) were matched to the turmeric reference spectra in the custom library. Notably, 64 particles achieved Hit Quality Index (HQI) values exceeding 0.8, indicating strong spectral correlation and high confidence in the identification data (Figure 2).<h4>Conclusion&nbsp;</h4>This study demonstrates the suitability of the Agilent 8700 LDIR chemical imaging system with Agilent Clarity software as an effective tool for detecting adulteration in ground spices. Using the automated Particle Analysis (PA) workflow, the system quickly and reliably distinguished turmeric from both organic (corn starch) and inorganic (sand) adulterants based on their distinct IR spectral signatures.&nbsp;Differentiating between chemically similar spices remains challenging due to overlapping IR profiles. However, the 8700 LDIR system's ability to build custom spectral libraries offers flexibility for targeted authentication, allowing laboratories to adapt the system to their evolving analytical needs.&nbsp;A key advantage of the 8700 LDIR method is the speed and simplicity of sample preparation—dry powders can be analyzed directly on low-e slides without solvents or extraction. By combining the high-throughput automated PA workflow with integrated imaging, the 8700 LDIR provides a practical, time-saving solution for routine analysis in food testing&nbsp;laboratories.<h3>2. Shimadzu: Observation of the Automotive Cylindrical Lithium-Ion Battery “4680” Using a Micro-Focus X-ray CT System</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01060_en_5e744626ad.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li>The internal structure of the “4680” cylindrical lithium-ion battery for automotive use, which is a market trend, can be observed nondestructively.&nbsp;</li><li>Electrode placement and bonding condition can be verified, which is useful for product quality inspection.</li></ul>In recent years, with the proliferation of electric vehicles (EVs), the development of high-performance, low-cost automotive batteries has become an urgent priority. Among these, the cylindrical lithium-ion battery “4680” has attracted particular attention. Compared with the conventional “2170,” the “4680” is larger, and its energy density per cell is increased, thereby extending vehicle range. In addition, the adoption of a tab-less structure reduces internal resistance, improving charge/discharge efficiency and thermal management performance, while simplification of the manufacturing process is expected to reduce cost. Owing to these characteristics, the “4680” is drawing attention across both industry and academia as a core technology for next-generation EVs. Meanwhile, lithium-ion batteries are always subject to concerns about the risk of ignition and explosion due to internal short circuits or foreign matter inclusion. Because X-ray CT enables nondestructive testing (NDT) with three-dimensional visualization of internal structures, it is possible to detect fine defects such as electrode misalignment, separator damage, and foreign matter inclusion.&nbsp;This article introduces a case study in which the cylindrical lithium-ion battery “4680” for automotive applications was observed using the microfocus <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=inspeXio+7000">X-ray CT system inspeXio 7000</a> (Fig. 1).<h4>Conclusion</h4>We presented a case study of imaging the cylindrical lithium-ion battery “4680” using a microfocus X-ray CT system. By nondestructively visualizing its three-dimensional structure, it is possible to obtain important information on the battery’s internal structure, such as the arrangement of electrodes and their bonding state. Thus, X-ray CT is shown to be a powerful tool that contributesto the advancement of battery technology.<h3>3. Thermo Fisher Scientific: MarqMetrix All-In-One X Process Raman Analyzer</h3>Enabling accurate, real-time results for process monitoring in hazardous locations<ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/marqmetrix_all_in_one_x_process_raman_analyzer_ds1339_en_c1739807d2.pdf">Full PDF for download</a></li></ul>The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2208">Thermo Scientific™ MarqMetrix™ All-In-One X Process Raman Analyzer </a>is a compact, portable spectrometer designed for fast deployment and ease of use. Built for industries where rapid time-to-results is critical, it is designed to be intrinsically and inherently safe for operation within hazardous locations, in such applications as:&nbsp;<ul><li>Midstream and downstream oil &amp; gas operations&nbsp;</li><li>Chemical and polymer applications&nbsp;</li><li>Pharmaceutical development and manufacturing</li></ul><h4>The MarqMetrix All-In-One X Analyzer offers multiple operational advantages:&nbsp;</h4><ul><li>Analysis without sample preparation, delivering Raman spectral results in real time&nbsp;</li><li>Easy setup and deployment by non-spectroscopists&nbsp;</li><li>Intrinsically and inherently safe optical power to robust probes, which can be deployed in hazardous locations: up to ATEX Zone 0 (Europe &amp; Middle East), IECEx (Asia), and Class 1 Div 1 (North America)&nbsp;</li><li>Nondestructive workflows to protect precious samples&nbsp;</li><li>A small footprint for convenient deployment&nbsp;</li><li>Factory calibration for hardware stability and portability&nbsp;</li></ul>The MarqMetrix All-In-One X Process Raman Analyzer is designed for out-of-the-box use, enabling you to be ready in less than 15 minutes to collect highly accurate Raman measurements. Pack this analyzer in a protective case and take it to the point of need; its factory calibration ensures continuous and precise analysis on the go. Easily integrate the MarqMetrix All-In-One X Process Raman Analyzer into your existing process without the need for costly technical expertise. Once implemented, the analyzer enables operators in hazardous locations to make faster, safer, and smarter decisions by delivering real-time compositional insights directly on site.<h3>4. Waters Corporation: Residual Dynabeads Detection with <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2190">Aura+</a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009096_en_aeb7e4288f.pdf">Full PDF for download</a></li></ul>Autologous cell therapies have seen explosive growth as evidenced by the recent landmark FDA approvals of two CAR-T cell therapies, Yescarta® and Kymriah®. 1 Dynabeads™ are commonly used in cell therapy manufacturing process to expand and activate CAR-T cells.2 CD3/CD28 Dynabeads specifically are one of the leading approved GMP expression beads for T cell therapies and are key to achieving the potency required of these novel medicines. Dynabeads are also efficiently removed from the final product to ensure final purity. However, residual CD3/CD28 beads present a significant risk patients’ safety and therefore are generally kept below a widely accepted but not yet regulatory controlled limit of 100 residual beads per 3,000,000 cells.3–4&nbsp;Residual bead analysis is currently performed with manual hemocytometry that uses light microscopy and manual counting. However, manual hemocytometry is prone to human error, which leads to significant bead undercounting because it is incredibly difficult to find and differentiate between Dynabeads and cells in a sample, making residual bead counting one of the most challenging cell therapy lot release assays. Other traditional cell and subvisible analysis tools, including flow cytometers, also undercount beads and cannot differentiate residual Dynabeads from cells and other subvisible particles.&nbsp;In this technical note, we show step-by-step how Aura CL and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2190">Aura+</a> enable fast, accurate, sensitive, and specific residual Dynabead detection in a concentrated cell therapy product. Powered by backgrounded membrane imaging (BMI) to characterize the entire cell therapy particle population and side illumination membrane imaging (SIMI) to specifically detect Dynabeads, Aura® CL and Aura®+ are the first and only tailored solutions to find and count these hard to detect contaminants.<h4>Conclusion&nbsp;</h4>Analysis of the cell therapy sample on Aura CL or Aura+ begins with the BMI well image, where sharp contrast, high resolution optics provide the landscape to count and size all the particles in your cell therapy product. SIMI imaging, which is run at the same time as BMI, enables the differentiation of biologic vs. non-biologic particles which is essential to this application. Figures 2 and 3 capture how BMI detects all particles present in a cell therapy sample, while SIMI mode selects for particles of higher refractive index contrast. In BMI mode, cells, Dynabeads, and mixtures of the two were all easily visible. However, in SIMI mode, only the residual Dynabeads were detected both in the standard high-throughput 4x mode and in the 10x high magnification mode. This is essential for specific detection of residual Dynabeads given their low abundance in a highly concentrated cell sample as shown in Figure 4. We determined that the limit of quantitation (LOQ) of Dynabeads is &lt;1 bead/well (or 18 beads/mL of sample), well below the hemacytometer residual bead detection rate of 1 bead per 10,000 cells. Additionally, the bead counts in our dilution series exhibited a linear relationship, measuring an R2 of 0.98. Using Aura CL or Aura+ for residual Dynabead detection provides greater accuracy and higher-throughput in counting compared to the cumbersome and error prone currently used methods. Resolving false positive counts can be easily rectified by measuring the particles at higher magnification, where single Dynabeads identity can be confirmed by size. Aura CL and Aura+ deliver the only automated way of measuring single Dynabeads in concentrated cell therapy solutions, while also offering built in orthogonal confirmation through various objectives and light sources.

News from LabRulezICPMS Library - Week 03, 2026

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 26th January 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you application notes by Agilent Technologies, Metrohm and Shimadzu and brochure by Thermo Fisher Scientific!<h3>1. Agilent Technologies: Thin Multilayer Analysis Using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR">Agilent 8700 LDIR</a> Chemical Imaging System</h3>Rapid micrometer-scale measurement of layer thickness and composition identification in laminated materials<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_thin_multilayer_materials_8700_ldir_5994_8799en_agilent_892afacbb6.pdf">Full PDF for download</a></li></ul>Multilayer laminate materials represent a structurally and chemically complex system. They often comprise several distinct polymer layers that are engineered for specific functional roles, despite having total thicknesses of only a few hundred microns. Each layer contributes unique properties such as mechanical strength, barrier performance, or environmental protection, depending on its chemical composition and thickness. Accurate identification and measurement of these thin layers is therefore critical, as defects or deviations in layer thickness can compromise product integrity. Weaknesses can cause failures through damage, potentially resulting in safety issues for the user.Precise mapping and micrometer-scale thickness analysis is essential during the development, quality control, and troubleshooting of multilayer materials. The <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=10&amp;search=8700+LDIR">Agilent 8700 Laser Direct Infrared (LDIR) chemical imaging system</a> offers a powerful solution for this application. By combining IR spectroscopy with high-resolution imaging, the system enables chemical identification and visualization of polymer layers with exceptional spatial detail. Enhanced by the intuitive Agilent Clarity software, the 8700 LDIR delivers a fast and effective workflow for multilayer material characterization, addressing key needs in quality assurance, failure analysis, and reverse engineering.&nbsp;<h4>Results and discussion&nbsp;</h4><h5>User-generated spectral library&nbsp;</h5>Following sample preparation, the 8700 LDIR high‑magnification visible camera provided an overview of the laminate structure of sample 1, revealing three distinct layers. The total thickness of the sample and each layer was measured using the Clarity software ruler feature. As shown in Figure 3, the total thickness of sample 1 based on the visible image was measured to be 150 µm (layer 1: 50 µm; layer 2: 50 µm; layer 3: 50 µm). A high‑resolution IR image was then acquired at 1,442 cm–1 with a 1 µm pixel size, enabling detailed visualization of the layer morphology under infrared light (Figure 3).<h4>Conclusion&nbsp;</h4>The Agilent 8700 LDIR chemical imaging system provides a powerful, non-destructive solution for multilayer analysis across diverse applications ranging from food packaging to battery separators. By combining a laminate holder, high-magnification imaging, IR imaging, and line profile spectral collection, the method delivers clear insights into layer thickness, morphology, and material composition. The ability to quickly build custom spectral libraries within the Agilent Clarity software further enhances its utility, especially for identifying unknown materials or contaminants in multilayer&nbsp;materials. The 8700 LDIR multilayer analysis workflow supports both R&amp;D innovation in advanced materials and routine quality assurance across different industries.<h3>2. Metrohm: Almond analysis with near-infrared (NIR) spectroscopy</h3>Multiparameter determination of moisture, fat, and protein<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nir_132_download_ab5d492c05.pdf">Full PDF for download</a></li></ul>Almonds are nutritious edible nuts from the almond tree and can be eaten whole or processed in other foods. During processing, quality control (QC) parameters like moisture levels are checked to ensure that the correct percentage is reached before moving on to other stages (e.g., grinding or packaging). When determining almond quality, destructive analytical techniques are helpful but can involve extensive sample preparation and solvent extractions. These traditional techniques are also slow and expensive. Nondestructive near-infrared spectroscopy (NIRS) is a great alternative because it is fast, simple, and cost effective [1]. In this study, almond moisture content (water content), protein content, and fat have been measured using NIRS. NIR spectroscopy offers the rapid and reliable prediction of several quality parameters in seconds without any sample preparation.<h4>EXPERIMENTAL EQUIPMENT&nbsp;</h4>60 samples of ground almonds and 60 samples of whole almonds were measured on a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=220&amp;search=NIR+Analyzer">Metrohm NIR Analyzer</a>. All measurements were performed in reflection mode (1000–2250 nm) using the large cup accessory. The samples were measured in rotation to collect spectral data from diverse areas. Spectral averaging of signals from several spots helped to reduce sample inhomogeneity. Metrohm software was used for all data acquisition and prediction model development.<h4>CONCLUSION</h4>This Application Note demonstrates that almond protein content analysis, almond fat content analysis, and almond water content (or almond moisture content) analysis can be done with NIRS. NIR spectroscopy offers users a faster, simpler, highly accurate alternative to standard analytical methods for the analysis of ground and whole almonds during processing and final product quality control (Table 1). By using NIRS, all of these parameters can be measured simultaneously without sample preparation, saving time and money.<h3>3. Shimadzu: Technique for Measuring Microplastics Collected on Various Filters Using a Particle Filter Holder</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_00976_en_155bd58551.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li>Particle filter holders provide clear microscope images of samples, enabling highly accurate measurements.</li><li>Microplastics can be analyzed accurately and efficiently by using a particle filter holder with a high-speed mapping program and a particle analysis program.</li></ul>Since microplastics (MPs) (with diameters ranging from a few µm up to 5 mm) are widely recognized as an environmental problem in marine environments, Japan’s Ministry of the Environment has issued guidelines for preparation and measuring MPs in environmental surface waters. 1)&nbsp;The guidelines include examples of using a Fourier transform infrared spectrophotometer (FTIR) to identify plastics by the total reflectance measurement method. However, to identify fine MPs, they recommend using instruments like infrared microscopes.&nbsp;In recent years, an increasing number of studies have analyzed fine MPs smaller than 100 µm. Measuring MPs with an infrared microscope requires collecting samples on a filter. Various types of filters can be used for infrared microscopes, each with unique characteristics. But if a filter cannot be held horizontal during drying or measuring, it can develop wrinkles that might decrease measurement accuracy. Therefore, a particle filter (PF) holder was developed that can be placed directly on an infrared microscope stage while holding the filter horizontally. This article describes using the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=IRXross">IRXross Fourier transform infrared spectrophotometer</a>, an <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=AIMsight">AIMsight infrared microscope</a> (Fig. 1), and a PF holder to evaluate the properties of various filters and measure a standard sample of MPs.<h4>Example of Measuring MPs&nbsp;</h4>Polystyrene (PS), polyethylene (PE), and polypropylene (PP) particles that fell through a 100 µm mesh were dispersed in purified water. They were then collected by suction filtering through PTFE, Al2O3, Au/PC, and stainless steel filters (Table 1). After collecting the particles, the filters were dried using a PF holder. Fig. 5 shows the filter holder placed in the infrared microscope. Measurement condition settings are indicated in Table 2. The PTFE and Al2O3 filters were measured by the transmission method, whereas the stainless steel and Au/PC filters were measured by the reflection method. For the highspeed mapping program in this measurement, a peak detection range of 3,400 to 2,400 cm-1 was specified for detecting the signal from hydrocarbons (C-H). If there are peaks in that range, the range will be scanned the specified number of times. A tiled image of each filter is shown in Fig. 6. The areas marked with a yellow box were measured. For more information about the high-speed mapping program, refer to <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01001_en_79904665ce.pdf">Application News No. 01-01001-EN</a>.<h4>Conclusion&nbsp;</h4>This article describes using a PF holder to collect fine microplastic particles on various types of filters, and it provides a summary of the characteristics of each filter. Since there are differences in the wavenumber ranges and data acquisition methods for each filter type, users need to understand the individual characteristics of a filter when using it. The results also show that by using a PF holder to hold the filter flat, fine microplastic particles can be conveniently measured with an infrared microscope to obtain clear images and accurate measurements. Furthermore, a highspeed mapping program and particle analysis program can be used to accurately and efficiently analyze microplastics.<h3>4. Thermo Fisher Scientific: Raman at the speed you need - Thermo Scientific DXR3 Raman Family</h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/SS_53191_DXR_3_raman_family_spec_sheet_896bbe523e.pdf">Full PDF for download</a></li></ul>The Thermo Scientific DXR3 Raman Family is a versatile portfolio of Raman spectroscopy instruments designed to deliver high-quality chemical information quickly and reliably across a wide range of applications. Built on a shared, modular platform, the family includes the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2239">DXR3 Raman Microscope</a>, <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2237">DXR3xi Raman Imaging Microscope</a>, and <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2235">DXR3 SmartRaman Spectrometer</a>, enabling users to choose the optimal configuration for point analysis, high-resolution imaging, or bulk sample characterization. All systems emphasize ease of use, reproducibility, and rapid data acquisition, making advanced Raman analysis accessible to both expert spectroscopists and routine laboratory users.The DXR3 Raman Microscope provides research-grade performance with sub-micrometer spatial resolution and intuitive point-and-shoot operation, supporting demanding analytical tasks such as microanalysis, depth profiling, and chemical mapping. For applications requiring fast, high-resolution chemical imaging, the DXR3xi Raman Imaging Microscope delivers exceptional stability, automated feature identification, and rapid image acquisition over both small and large areas. Its advanced EMCCD detector technology and intelligent autofocus significantly reduce experiment time while maintaining high data quality, making it ideal for materials research, pharmaceuticals, and life sciences.The DXR3 SmartRaman Spectrometer is optimized for high-performance bulk sample analysis in busy analytical laboratories. Featuring a large sampling compartment and flexible accessories, it accommodates a wide range of sample formats—from powders and tablets to liquids in bottles or vials. Variable Dynamic Point Sampling (VDPS) technology enables representative averaging over large sample areas, improving reproducibility and reducing sampling bias. Together with multiple excitation laser options and interchangeable gratings, the system supports diverse analytical workflows with minimal maintenance.Across the entire DXR3 family, pre-aligned, user-exchangeable Smart Components, automated alignment and calibration, and powerful OMNIC™ software ensure consistent performance and simplified operation. Extensive microscopy, macro-sampling, and automation options allow systems to be tailored to specific applications, while robust system qualification and diagnostics support long-term reliability. Overall, the DXR3 Raman Family combines speed, flexibility, and analytical confidence, making it a comprehensive solution for modern Raman spectroscopy in research, quality control, and industrial environments.

News from LabRulezICPMS Library - Week 05, 2026

Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 6th April 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!<blockquote>👉 <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library">SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</a></blockquote><blockquote>👉 Need info about different analytical techniques? Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library">LabRulezLCMS</a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library">LabRulezGCMS</a> libraries.</blockquote>This week we bring you application notes by Metrohm, Shimadzu, Thermo Fisher Scientific and Waters Corporation!<h3>1. Metrohm: Whey permeate analysis with NIRS</h3>Monitor dairy production processes easily in seconds<ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_nir_144_download_34598659f1.pdf">Full PDF for download</a></li></ul>Whey permeate, a byproduct of manufacturing whey protein powder, contains high amounts of lactose, phosphate, and minerals. Because of its sweet and mild taste, whey permeate is often used in bakeries and chocolate manufacturing. The key to optimizing whey permeate production is to control production streams in real time. It is important to monitor the production process with highthroughput analytical techniques to maximize product yield and ensure high product quality.&nbsp;Nearinfrared spectroscopy (NIRS) is a fast, and chemicalfree analysis technique that can support this kind of testing. NIR spectroscopy can measure the most important quality parameters (i.e., protein, lactose, moisture, ash, pH, and phosphate) simultaneously in whey permeate without any sample preparation. The NIRS solution is fast, easy to operate, and can be used atline or offline in a quality control lab.<h4>EXPERIMENTAL EQUIPMENT&nbsp;</h4>158 whey permeate samples were analyzed on a <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=220&amp;search=NIR+analyzer">Metrohm NIR Analyzer</a> equipped with a small cup accessory. All measurements were performed in reflection mode (1000–2250 nm). Metrohm software was used for data acquisition and prediction model development.<h4>CONCLUSION&nbsp;</h4>This Application Note demonstrates the feasibility of using NIR spectroscopy for whey permeate quality control. Near infrared-spectroscopy is a rapid, nondestructive analytical technique that can monitor the production process of dairy products. Aside from the analysis of whey permeate, the whey protein production stream can also be monitored by NIRS.<h3>2. Shimadzu: Measurement of Residual Metal Catalysts by X-ray Fluorescence</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/an_01_01086_en_4beb25fd1d.pdf">Full PDF for download</a></li></ul><h4>User Benefits</h4><ul><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=ALTRACE">ALTRACE</a> can determine levels of heavy metals present in organic compounds at around 1 mg/kg in under 10 minutes per sample.</li><li>Analyzing and managing levels of residual metal catalysts can be performed by simply placing samples in the sample vessel and analyzing them without the need for complex sample pretreatment.</li><li>By increasing the X-ray tube power and optimizing the optical design, the sensitivity of ALTRACE for heavy metals has been dramatically improved compared to the previous model.</li></ul>Many industrial products we encounter every day are produced from organic compounds by manufacturing processes that utilize a range ofsynthesisreactions and metal catalysts. Catalysis can be classified as either homogeneous or heterogeneous (although drug and chemical production processes typically use homogeneous catalytic systems). While homogeneous catalysis allows for precise control over catalytic reactions, recovering the catalyst after the reaction can be difficult.&nbsp;Nevertheless, managing the levels of residual catalysts in industrial products is critical to ensure safety and because of their high costs. For example, the ICH Q3D Guideline for Elemental Impurities (adopted in April 2017) requires risk assessments when materials such as metal catalysts are added intentionally during a production process.&nbsp;Energy dispersive X-ray fluorescence (EDXRF) spectrometry offers a simple but effective technique for assessing the levels of residual metal catalysts. Normally, the lower limit of quantification for EDXRF spectrometric analysis of heavy metals is above 1 mg/kg, which limitsits use in quantitative analysis. However, the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=1&amp;search=ALTRACE">ALTRACE</a> is equipped with a high-power X-ray tube that dramatically improves its sensitivity for heavy metals, enabling their determination at 1 mg/kg and below in lessthan 10 minutes. This Application News describes using ALTRACE to determine residual levels of a homogeneous catalyst after a synthesis reaction. The catalyst used in this analysis is palladium (Pd), which is a widely applied heavy metal catalyst, and the reaction catalyzed by the Pd catalyst is a cross-coupling reaction. A metal scavenger and activated carbon were each used to remove the Pd catalyst from the reaction products. Metal scavengers are frequently used in this role, and activated carbon offers a relatively cheap method for removing catalysts.<h4>Conclusion&nbsp;</h4>Common methods of elemental impurity analysis, such as atomic absorption spectrometry (AAS), ICP atomic emission spectroscopy (ICP-AES), and ICP mass spectrometry (ICP-MS), require liquid samples, so solid and powder samples must be prepared into a solution prior to analysis. However, EDXRF spectrometry can determine levels of elemental impurities regardless of the sample phase or form (solution, powder, etc.), provided the target element is distributed uniformly throughout the sample. The sensitivity of ALTRACE for heavy metals has been substantially improved compared to previous models, allowing for rapid quantitative determination of heavy metals at 1 mg/kg and below. Based on the performance presented in this article, ALTRACE is an effective tool for managing residual levels of metal catalysts.<h3>3. Thermo Fisher Scientific: The Raman Spectroscopy of Graphene and the Determination of Layer Thickness</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/raman_spectroscopy_graphene_determination_layer_thickness_an52252_29274e8aea.pdf">Full PDF for download</a></li></ul>Currently, a tremendous amount of study is being directed toward graphene. This interest is driven by the novel properties that graphene possesses and its potential use in a variety of application areas that include but are not limited to electronics, heat transfer, bio-sensing, membrane technology, battery technology and advanced composites. Graphene exists as a transparent two-dimensional network of carbon atoms. It can exist as a single atomic-layer thick material, or it can be readily stacked to form stable, moderately thick samples containing millions of layers—a form generally referred to as graphite. However, the interesting properties exhibited by graphene (substantial electrical and thermal conductivity, high mechanical strength, and high optical transparency) are only observed for graphene films that contain only one or a few layers. Therefore, developing technologies and devices based upon graphene’s unusual properties requires accurate determination of the layer thickness for materials under investigation. Raman spectroscopy can be employed to provide a fast, non-destructive means of determining layer thickness for graphene thin films.<h4>Instrument considerations&nbsp;</h4>There are a few specifications that should be considered when selecting a Raman instrument for graphene characterization. First, since graphene samples are usually very small, selecting a Raman instrument with microscopy capabilities is imperative.The next issue to consider is which excitation laser to select. While graphene measurements can be made successfully with any of the readily available Raman lasers, it is also important to consider the substrate that the graphene will be deposited onto. It is common for graphene to be deposited on on either Si or SiO2 substrates, and both of these materials can exhibit fluorescence with near-infrared (NIR) lasers such as 780 nm or 785 nm. For this reason, visible lasers are usually recommended, typically a 633 nm or 532 nm laser.&nbsp;Next, since relatively small wavenumber shifts can significantly impact the interpretation of the Raman spectra, it is crucial to have a robust wavelength calibration across the entire spectrum. Using a single point wavelength calibration with some other applications may be sufficient, but this only ensures that one wavelength is calibrated and leaves room for a large margin of error. A multipoint wavelength calibration that is regularly refreshed, such as the standard calibration routine used with <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products?category=184&amp;manufacturerItems=3&amp;search=dxr3">Thermo Scientific DXR3 Raman instruments</a>, will provide considerably more confidence in the results. It is also necessary to have an instrument with high wavenumber precision to observe small wavenumber shifts when altering the sample. In fact, small wavenumber shifts can represent changes in the sample rather than represent the variability from the instrument. There is a common myth that it is necessary to utilize high resolution in order to achieve high wavenumber precision. Not only is this incorrect, but a high resolution will actually add considerable noise to the spectrum, which will add to the wavenumber variability. A high degree of wavenumber precision, such as that provided by the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/products/2239">Thermo Scientific™ DXR™3 Raman Microscope</a>, will significantly improve data confidence even when you are evaluating band shifts from low levels of strain or doping. It is also important to have exact control of your laser power at the sample and be able to adjust that laser power in small increments. This is important to control temperature-related effects and to provide flexibility to maximize Raman signal while still avoiding sample heating or damage from the laser. The DXR3 Raman systems are equipped with a unique device called a laser power regulator, which maintains laser power with unprecedented accuracy and provides exceptional ability to fine-tune laser power and optimize it for each experiment.1&nbsp;Lastly, the Raman microscope must have an automated stage and associated software to generate detailed Raman point maps. As will be seen in the next section, Raman point mapping or imaging extends the single point measurement to assess a sample’s layer thickness uniformity. The Thermo Scientific OMNIC™ Software suite contains powerful mapping and processing tools that diminish the complexity of collecting highly detailed maps and interpreting their results.<h4>Conclusions&nbsp;</h4>Raman spectroscopy is an excellent tool for the characterization of graphene and layer thickness. Few techniques will provide as much information about the structure of graphene samples as Raman spectroscopy, and any lab doing graphene characterization without Raman would be at a significant disadvantage. The DXR3 Raman Microscope is an ideal Raman instrument for graphene characterization because it can provide the high level of stability, control, and sensitivity needed to produce confident results.<h3>4. Waters Corporation: See What’s Really in Your Formulation with Backgrounded Membrane Imaging</h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/labrulez-bucket-strapi-h3hsga3/720009098_en_5d36d71789.pdf">Full PDF for download</a></li></ul>Protein aggregation in therapeutic protein products can induce adverse immunogenic responses in patients1–4 . Per the FDA’s recommendations, “strategies to minimize aggregate formation should be developed as early as feasible in product development”5 and “an assessment should be made of the range and levels of subvisible particles (2–10 µm) present in therapeutic protein products initially and over the course of the shelf life”.5 Yet, accurate subvisible protein aggregation analysis has remained elusive to protein drug formulators since current subvisible analyzers are not sensitive enough to measure protein aggregates effectively. In this application note, we explore how backgrounded membrane imaging (BMI), a high refractive index contrast technique used by the HORIZON particle analysis system, performs highly sensitive measurements of subvisible protein aggregates in the 2 µm–4 mm size range, enabling 30% higher reproducibility compared to flow imaging.<h4>Conclusion&nbsp;</h4>When studying the impact of protein aggregate refractive index, IgG protein aggregates analyzed on both the <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library?mainauthorItems=5&amp;search=HORIZON">HORIZON® instrument</a> and flow imager systems produced equivalent particle count trends. However, the HORIZON® system was more sensitive (measured more overall counts) and had overall lower variability with average CVs of 14.4% compared to the flow imager which produced average CVs of 20.1%. The differences in variability and counts were most pronounced at lower concentrations and size range respectively. Given that most particles in a therapeutic drug formulation are small, the inability of flow imagers to accurately count the smallest of protein aggregates has a dramatic impact on the total number of particles measured. This can mean an undercounting by as much as 3–10X depending on the protein and formulation conditions.&nbsp;High variability at low concentrations in flow imagers can pose a hurdle for early stage analysis were sample is scarce. In low volume analysis (&lt;250 µL), the possibility of measuring fewer particles increases, therefore it is imperative to have high sensitivity measurements when already challenged by low sampling statistics.&nbsp;In the excipient effect study, sucrose did not have an impact on the overall particle counts when measured using the HORIZON® system. This contrasts with previous studies comparing excipient effects on three flow imagers.10 In each case, the particle counts decreased up to 30% or more using standard sucrose formulation concentrations of 0–20%. The difference between the data generated by BMI and FI can be attributed to the fact that the HORIZON® instrument is not affected by particle or solution refractive index.&nbsp;Flow imagers are deeply vulnerable to the impact of refractive index when measuring protein aggregates due to their translucency and the negative impact of surfactants. Due to this basic optical phenomenon, flow imagers can dramatically undersize and undercount particles. Finding the right tool for the job will have a critical impact on data accuracy and sensitivity. Powered with BMI, the HORIZON® system provides high refractive index contrast analysis to enable accurate, robust, and sensitive subvisible particle counting from 2 µm–4 mm in as little as 25 µL of sample and 96 samples in under 2 hours.

News from LabRulezICPMS Library - Week 15, 2026

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Eurachem/CITAC Workshop on Quality in Analytical Measurements 2026

Agilent Pharma/BioPharma Seminar The End-to-End Digital Lab: Your Future Starts Now

Current Trends in Forensic Toxicology Symposium (2026)

A Workshop on Substrates and Software tools for Microplastics Analysis using the LDIR

Unlocking Material Insights with Raman Spectroscopy: From Fundamentals to Real-World Applications

Smarter Materials Qualification in a Changing Supply Chain