The article describes a method for geochemical sample analysis using polytetrafluoroethylene (PTFE) crucibles and ICP-MS, achieving detection limits below 0.2 μg/g and relative standard deviations ranging from 1.1% to 16.4%. The approach minimizes acid usage, prevents dust contamination, accurately determines volatile elements, and is deemed suitable for high-throughput laboratories with numerous samples and diverse elements to be tested.
DNA effectively removes chrysene from contaminated water through intercalation, as confirmed by various analytical methods, offering a potential novel approach for chrysene elimination in water pollution.
Understanding gallstone formation requires examining their elemental composition. Here, EDS and LIBS were used with PLS-DA to quantify elements found in human gallstones.
A recent study used aluminum foil-assisted ATR-FT-IR spectroscopy to detect acute kidney injury (AKI) in a rat model using plasma samples. The results show how ATR-FT-IR could be used to study more types of clinical samples in the future.
A review of exponential signal models with machine learning in nuclear magnetic resonance (NMR) spectroscopy is discussed here.
Shifted-excitation Raman difference spectroscopy (SERDS) is a technique that is capable of reducing the interference caused by fluorescence and improve the potential of Raman for distinguishing drug compounds in seized samples with fluorescent additives. Here, 43 drugs were analyzed to show the practical application of SERDS.
The effect of 0.5 M sulfuric acid on the structural changes of gelatin using peak deconvolution analysis and FT-IR spectra was investigated.
We examine the feasibility of FT-NIR for the detection of early fungal infections in citrus.
An examination of how Fourier transform infrared (FT-IR) spectroscopy analysis is conducted on ovalbumin (OVA) in different pH conditions with and without cosolvent sucralose (SUC) inclusion.
A new FID-FM fusion model for infrared measurements of glucose in synthetic samples is proposed, comparing prediction performance to full PLS, SMR, XGBoost, CBR, and DSFPLS modeling methods.
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.
A look at how the spectral properties single-phase green emission phosphor make it suitable for near-UV light-emitting diode (NUV-LED) applications.
UV-Vis-NIR can be used to understand how ancient buildings were constructed. Here, a UV-Vis-NIR and EDXRF spectrophotometer were used to analyze glazed tiles that comprised a historical site built in Ancient China.
Detecting metal elements in liquid samples cannot be done efficiently by only using LIBS, but when the technique is combined with appropriate membrane materials, rapid analysis of solution samples can be realized.
Various chemometric approaches, including four discriminant models (ELM, TLBO–ELM, KELM, and TLBO–KELM), were used to detect shrimp freshness based on near-infrared hyperspectral imaging.
To ensure the stable operation of fuel plant desulfurization systems, it is critical to maintain the content of thiosulfate within an appropriate range. This new method for thiosulfate determination is highly sensitive and easy to perform.
This new terahertz method provides a theoretical reference for studying the relationship between biomolecules and water.
A deep learning model for predicting the size-dependent Raman shift of semiconductor nanomaterials was demonstrated and achieved via multi-layer perceptron.
The relationship between leaf nitrogen content (LNC) and hyperspectral remote sensing imagery (HYP) was determined to construct an estimation model of the LNC of drip-irrigated sugar beets, to enable real-time monitoring of sugar beet growth and nitrogen management in arid areas.
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.
The significance of the smaller spectral region of the Raman spectrum, defined as the “fingerprint in the fingerprint” region, cannot be overstated when it comes to active pharmaceutical ingredient identity testing (API).
In combination with attenuated total reflectance (ATR), Fourier transform infrared (FT-IR) spectroscopy can be used to classify different moss species.
An artificial neural network was combined with LIBS to provide a rapid and accurate coal-rock recognition method for unmanned coal mining.
The 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.
A new method based on singular value decomposition (SVD) applied to the denoising of the time-resolved spectral matrix (TRSM) made it possible to obtain kinetics data of the fluorescence band parameters of a 3-aminophthalimide spectrum in acetonitrile.
