In 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.
In this paper, a one-time digestion method for the determination of arsenic (As), antimony (Sb), selenium (Se), and mercury (Hg) in geological samples was established.
A PLS model was built with optimized wavelength variables generated by a competitive adaptive reweighted sampling (CARS) algorithm, enabling the use of handheld NIR spectroscopy to rapidly detect peroxide values in oil.
This method detects elements intrinsically present in cells, and because sc-ICP-TOF-MS measures a full mass spectrum, no analytes are missed.
A comprehensive understanding of aging phenomena and the resulting performance loss occurring in lithium-ion batteries (LIBs) is essential for ongoing improvement of the technology. The formation of a uniform solid electrolyte interphase (SEI) is of crucial importance for the performance, lifetime, and safety of LIBs. Transition metal dissolution (TMD), caused by degradation of the cathode, and subsequent TM deposition on the anode surface can deteriorate the protective properties of the SEI, possibly leading to reconstruction of the SEI and loss of active lithium. We explore this topic here.
In this study, laser-induced breakdown spectroscopy (LIBS) was applied in conjunction with principal component analysis (PCA) to identify and classify flower species.
Analysis of 66 pesticides and 5 mycotoxins regulated by the State of California in cannabis tinctures were analyzed using LC–MS/MS with an ESI source, and LC–MS/MS with an APCI source. A simple, fast, and cheap acetonitrile solvent extraction method was used for sample preparation for good recovery and high throughput, and internal standards were used to compensate for ion suppression effects from the hydrophobic matrix.
ATR-FT-IR spectroscopy can provide rapid and portable measurements in forensic applications, demonstrating its ability to rapidly detect biomarkers and the presence of cocaine in fingernails.
The “selective fluorescence quenching effects” of Fe3+ ions on carbon dots are examined to gain a more comprehensive understanding of the interactions of metal ions with a variety of fluorescent materials.
A model has been developed to predict the “cold” or “hot” nature of Chinese medicines based on UV spectral data.
In this study, the nitrophenol isomers, in solid and liquid phases, were analyzed using Raman spectroscopy, laying the groundwork for determining nitrophenol isomers in environmental monitoring with this technique.
This 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.
Metallomics 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.
This article provides a review of using both time- and phase-resolved fluorescence for DNA analysis in both sequencing and microarray applications.
This article focuses on the emergence of handheld, portable FT-IR spectrometers and the implications with respect to applications and use.
A number of clinical situations now call for high-sensitivity measurement of estrogens, including monitoring during female hormone replacement therapy, antiestrogen treatment, and estrogen deficiency in men. Traditional immunoassay methods and liquid chromatography–tandem mass spectrometry (LC–MS-MS) do not provide the sensitivity and selectivity required for these applications. In contrast, a gas chromatography–negative chemical ionization–tandem mass spectrometry (GC–NCI-MS-MS) platform can provide detection limits below 1 pg/mL when used in conjunction with the appropriate derivatization protocol, with very short cycle times.
Over the last few years, Raman has made the transition from a technique used solely in a research environment to one that is now seen as a powerful tool for routine analytical use. Raman spectroscopy now is used widely for sample identification in fields as diverse as forensics, QA/QC, art conservation, defect analysis, and failure analysis. This has imposed new demands on the technique for reproducibility and stability. Successful sample identification takes advantage of the extensive spectral libraries and sophisticated search algorithms that have been developed in recent years. However, in order to be able to cross-correlate experimental and library spectra with any degree of confidence, it is critical that the Raman spectrometers used to collect the spectra are calibrated rigorously. It is likewise critical for QC applications that spectra collected on one instrument can be compared reliably with spectra collected on other instruments and that results remain constant when collected over extended periods..
New developments in matrix-assisted laser desorption ionization (MALDI) technology enable decoupling of the ionization source from the time-of-flight mass analyzer for operation at atmospheric pressure (AP-MALDI). This technique also can be integrated with other types of mass analyzers, such as the ion trap.
The combination of GC with time-of-flight (TOF)-MS proves to be a successful approach for the challenging analysis of persistent organic pollutants in complex matrices such as sediment and fish samples.
The usefulness of liquid chromatography–mass spectrometry–mass spectrometry (LC–MS-MS) methods for the unambiguous identification and quantification of pesticides in complex matrix samples is well known. Triple-quadrupole systems have proven to be useful for this task because of their high specificity in MS-MS mode and their low detection limits. However, working in MS-MS mode makes any MS system blind to other compounds of interest.
The wide dynamic range of ICP-MS allows it to be used for the simultaneous determination of parts-per-billion levels of heavy metals including lead, arsenic, cadmium, and mercury, together with high parts-per-million levels of nutritional elements, such as phosphorus, calcium, potassium, and magnesium.
This installment examines one of the key differences between the Near-IR and Mid-Range IR and highlights a couple of applications where Mid-IR can be effectively employed as a process analytical technology (PAT).
The authors discuss the emergence of liquid chromatography coupled with tandem mass spectrometry as a complementary method to traditional methodology used for clinical applications.
The authors discuss the use of high-resolution LC-MS to analyze complex samples in regulated environments such as food and animal-feed analysis.
The study of the photophysical and optoelectronic properties of a functioning conducting polymer device is complicated and is hampered by the complex nanostructure and morphology of the conducting polymer materials in these devices. Here we discuss an approach to investigate this issue in terms of bulk-heterojunction organic photovoltaic devices.
This year's theme, "Transition from Research to Application," emphasized important developments in the field application of LIBS and fundamental knowledge of the technique.
The authors discuss the challenges presented by the many new applications of mass spectrometry.
A closer look at the use of a cell-based ICP-MS approach that utilizes ion–molecule chemistry to reduce many of the traditional spectral interferences seen in the analysis of high-purity hydrochloric acid used in manufacturing integrated circuits and semiconductor devices
The usefulness of liquid chromatography–mass spectrometry–mass spectrometry (LC–MS-MS) methods for the unambiguous identification and quantification of pesticides in complex matrix samples is well known. Triple-quadrupole systems have proven to be useful for this task because of their high specificity in MS-MS mode and their low detection limits. However, working in MS-MS mode makes any MS system blind to other compounds of interest.