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High-Throughput Profiling of Long Chain Fatty Acids and Oxylipins by LC–MSLong chain fatty acids (LCFAs) function as a source of metabolic energy, substrates for membrane biogenesis, and storage of metabolic energy. Oxylipins, oxygenated derivatives of LCFAs, regulate the activity of many cellular processes. Existing methods for the analysis of LCFAs and oxylipins have limited compound coverage and sensitivity that, therefore, prevent their application in biological studies. In this work, we developed a high-throughput LC–MS method for analysis of 51 LCFAs and oxylipins. LCFAs and oxylipins were first extracted from biological samples via solid-phase extraction. The extracted molecules were analyzed by targeted comparative metabolomics. Saturated and monounsaturated LCFAs were analyzed in single ion reaction mode, while polyunsaturated LCFAs and oxylipins were analyzed in multiple reaction monitoring mode. Using this method, we successfully quantified 31 LCFAs and oxylipins from mouse livers.
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Resolving Analytical Challenges in Pharmaceutical Process Monitoring Using Multivariate Analysis Methods: Applications in Process Understanding, Control, and ImprovementIn this review, we show a wide range of examples of the expanding use of multivariate analysis (MVA) in pharmaceutical manufacturing and control. MVA is being used to resolve numerous analytical challenges, such as overcoming matrix effects, extracting reliable data from dynamic matrices, and more.
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Analysis of Fuels and Additives Using ICP-OES and ED-XRF**Wednesday, November 17th, 2021 at 11am EST| 10am CST | 8am PST** Laboratories today are under more pressure than ever before to process more samples per day, attain lower detection limits and lower operating costs. This webinar will highlight new advances in ICP-OES and ED-XRF technology that will address these points and explain how the latest designs have revolutionized the techniques and offered a dramatic increase in performance for all types of fuels and additives.
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ICP-OES as a Viable Alternative to ICP-MS for Trace Analysis: Meeting the Detection Limits ChallengeA new sample introduction method improves ICP-OES for ultratrace element analysis. An explanation of how this ICP-OES compares to ICP-MS analysis is also provided.
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Nondestructive Spectroscopic Techniques for Detection of Fungal and Mycotoxin Infections in Food Products: A ReviewFungal infections and mycotoxin contamination in food products pose a major threat to the world population. Mycotoxins contaminate approximately 25% of the world’s food products and cause severe health problems through the utilization of affected food products. The major mycotoxins in different foods are aflatoxins, ochratoxins, fumonisins, zearalenone, trichothecenes, and deoxynivalenol. Today, various conventional and nondestructive techniques are available for the detection of mycotoxins across multiple food products. Conventional methods are time-consuming, require chemical reagents, and include many laborious steps. Therefore, nondestructive techniques like near-infrared (NIR) spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, hyperspectral imaging, and the electronic nose are a priority for online detection of fungal and mycotoxin problems in different food products. In this article, we discuss recent improvements and utilization of different nondestructive techniques for the early detection of fungal and mycotoxin infections in various food products.
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Review and Prospect: Applications of Exponential Signals with Machine Learning in Nuclear Magnetic ResonanceA review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.
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Single-Cell Analysis by ICP-MS—Current Status and Future TrendsSingle-cell analysis is important in biology and medicine, because it takes into account cell heterogeneity and cellular dynamics, which are governed by cellular crosstalk and the vicinity of cells. Thus, it is of utmost importance to obtain not only information about the heterogeneity of a cell population, but also about their spatial arrangement.
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Compact Sub-50 fs Lasers for Time-Domain Kerr-Effect SpectroscopyUntil recently, time-domain spectroscopies based on the optical Kerr effect (OKE) have been limited to the lab due to the unavailability of compact femtosecond lasers.
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New Mass Spec Technique Provides Rapid Elemental Analysis of Battery MaterialsWebinar Date/Time: Tue, Sep 12, 2023 2:00 PM EDT
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Measurement of Ammonia Leakage by TDLAS in Mid-Infrared Combined with an EMD-SG Filter MethodIn this article, tunable diode laser absorption spectroscopy (TDLAS) is used to measure ammonia leakage, where a new denoising method combining empirical mode decomposition with the Savitzky-Golay smoothing algorithm (EMD-SG) is proposed to improve the signal-to-noise ratio (SNR) of absorbance signals.
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Preparation and Spectral Properties of MgAl2O4: Tb3+ PhosphorA look at how the spectral properties single-phase green emission phosphor make it suitable for near-UV light-emitting diode (NUV-LED) applications.
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Spectroscopic Analysis of the Effects of Alkaline Extractants on Humic Acids Isolated from Herbaceous PeatTo study the effect of various extractants on the structure of peat humic acid, peat humic acid was extracted using NH3·H2O, Na2CO3, NaHCO3, and Na2SO3 via alkali-extraction and acid-precipitation methods.
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Enhanced Raman and Mid-Infrared Spectroscopic Discrimination of Geographical Origin of Rice by Data Mining and Data FusionThe application of data mining combined with data fusion of Raman and mid- infrared spectra was studied to improve discrimination ability for modeling the geographical origins of rice.
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GC×GC–TOF-MS and Comprehensive Fingerprinting of Volatiles in Food: Capturing the Signature of QualityFood quality differences are dependent on botanical and geographical origins of primary food ingredients as well as storage and handling. Quality assessment for food materials, including cocoa and olive oil, is demonstrated by applying two-dimensional gas chromatography (GC×GC) combined with time-of-flight mass spectrometry (TOF-MS) and pattern recognition.
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Inductively Coupled Plasma–Mass Spectrometry (ICP-MS) Analysis of Nanomaterials for Use in Nuclear and Material ApplicationsTunable diode laser absorption spectroscopy (TDLAS) is combined with an extreme learning machine (ELM) model, tailored by genetic algorithm (GA) parameter searching, to produce a more robust analytical method for trace gas analysis of ethylene.
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See-Through Measurements of Illicit Substances in Commercial Containers with the TacticID®-1064 STThe TacticID-1064 ST has dedicated software and hardware designed to measure materials through both transparent and opaque containers. These through-barrier measurements remove the need for active sampling of potentially dangerous compounds such as fentanyl, leading to safer operations and reduced wait time for clear results. The 1064 nm laser is also an advantage for analyzing fluorescent or impure material. A Raman system with a 785 or 830 nm laser may generate fluorescence from these samples, which can overwhelm the Raman signal and make identification impossible. In this application note, we explore some of the capabilities of the TacticID-1064 ST.
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Identification of Different Dairy Products Using Raman Spectroscopy Combined with Fused Lasso Distributionally Robust Logistic RegressionTo improve the robustness and accuracy of logistic regression identification method, a new Raman spectroscopy identification method was proposed that combines a distributionally robust optimization technique and fused lasso technique with logistic regression. Then, Raman spectroscopy was used to analyze two types of dairy products that were collected for anti-jamming identification testing to verify the effectiveness of the new method.
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Colorimetric Discrimination of Pd2+ and Hg2+ Ions in Solvent and Solid-Film State Using Organic Acid-Assisted Green Synthesized Silver NanoparticlesBy using green synthesized AgNPs modified by chitosan and organic acid, a simple, cost-effective, and highly selective onsite colorimetric detection method for Pd2+ and Hg2+ ions was developed.
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A Raman Spectral Area Scanning Method to Identify the Sequences of Crossed Writings and Seal StampsDetermining the printing sequences of crossed writings and seal stamps is often difficult because the most common methods used are expensive, time-consuming, and cumbersome. A new method using Raman spectral area scanning offers a better alternative while conducting pigment analysis and determining intersection sequences of writings and seal stamps. We explain why.
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In-situ Detection of Rice Using Laser Induced Breakdown Spectroscopy and Machine LearningThis research investigates the application of laser-induced breakdown spectroscopy (LIBS) and machine learning (ML) for detecting elemental composition of food, using rice as an example.
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Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR SpectroscopyA rapid vis-NIR spectroscopy method for determining soil particle size and quality.
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Kinetic Fluorimetric Determination of Formaldehyde by Oxidation of Rhodamine B with Potassium BromateA kinetic fluorimetric method was established for the determination of formaldehyde in synthetic water samples and laundry water by potassium bromate oxidation of rhodamine B.
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Hyperspectral Imaging Combined with Convolutional Neural Network for Rapid and Accurate Evaluation of Tilapia Fillet FreshnessThe purpose of this work is to achieve rapid and nondestructive determination of tilapia fillets storage time associated with its freshness. Here, we investigated the potential of hyperspectral imaging (HSI) combined with a convolutional neural network (CNN) in the visible and near-infrared region (vis-NIR or VNIR, 397−1003 nm) and the shortwave near-infrared region (SWNIR or SWIR, 935−1720 nm) for determining tilapia fillets freshness.
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Imaging of Trace Elements Using Laser Ablation–Inductively Coupled Plasma–Mass Spectrometry: Emerging New ApplicationsMetallomics seeks to understand the metallobiochemistry of cells and organisms in health and disease. This article explains the principle of laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) for imaging applications and highlights its potential to provide additional insights in bioanalysis and metallomics.
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Analysis of Elements in Snack Foods: A Closer Look at Pepperoni, Rice Noodles, Frozen Dinners, and PizzaSoftware tools for ICP-MS and ICP-OES can help analysts to simplify method setup and reduce the potential for errors.
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Physicochemical Analysis and Detection of Rice Syrup Adulteration in Kelulut Honey Using Portable Near-Infrared SpectroscopyThis study aimed to assess and detect adulteration of Kelulut honey with different percentages of rice syrup using near-infrared (NIR) spectroscopy.
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Terahertz Spectral Investigation of L-Cysteine Hydrochloride and its MonohydrateThis new terahertz method provides a theoretical reference for studying the relationship between biomolecules and water.
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Comparison of Peristaltic Pumps Used for Sample Introduction in Inductively Coupled Plasma–Atomic Emission Spectroscopy (ICP-AES)Inductively coupled plasma–atomic emission spectroscopy (ICP-AES) relies on the use of a peristaltic pump for sample introduction. Here, two conventional peristaltic pumps are compared with a new pump based on the “easy click” principle for the analytical figures of merit.
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When Size Matters: ICP-MS Detection of Small ObjectsNanomaterials have a tremendous impact on our daily life, but usually in a beneficial way because of their useful properties.
