A deep learning model for predicting the size-dependent Raman shift of semiconductor nanomaterials was demonstrated and achieved via multi-layer perceptron.
Laser ablation laser ionization time-of-flight mass spectrometry (LALI-TOF-MS) can quantify elemental constituents without the need for matrix-matching, making it attractive for metals testing, particularly for additive manufacturing.
Evaluation of the UV-vis spectra of the reaction product of ytterbium (III) with hematoxylin (HE) indicates the formation of a rare earth complex that further reacts with marine mammal DNA, indicating the potential that this complex may have anti-tumor properties.
To study the optical properties of mixed crude oil, the optical constants of samples consisting of two crude oils mixed in different proportions were obtained by the double-thickness transmittance method based on transmittance spectra.
Glutathione (GSH) is an intracellular thiol that plays a major role in biological systems. Therefore, the development of effective probes that can detect GSH elicits significant attention.
Spectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.
A multiscale convolutional neural network (MsCNN) was used to screen Raman spectra of the hepatitis B serum, achieving higher classification accuracy compared to traditional machine learning methods.
Photodynamic therapy is widely used as an established biomedical optical modality for the conservative treatment of tumors. This work investigates laser-induced fluorescence spectroscopy of the emerging photodynamic photosensitizer BODIPY-520 in turbid media.
In celebration of Spectroscopy’s 35th Anniversary, leading experts discuss important issues and challenges in analytical spectroscopy.
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 work, a stable variable selection method based on variable stability correction (VSC) and modified iterative predictor weighting-partial least squares (mIPW-PLS) is proposed for the quantitative analysis of steel samples by laser-induced breakdown spectroscopy (LIBS).
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.
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.
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.