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33 results for “Chemometrics,”
Data from: Non-destructive geographical traceability of sea cucumber (Apostichopus japonicus) using near infrared spectroscopy combined with chemometric methods
Sea cucumber is the major tonic seafood worldwide, and geographical origin traceability is an important part of its quality and safety control. In this work, a non-destructive method for origin traceability of sea cucumber (Apostichopus japonicus) from northern China Sea and East China Sea using near infrared spectroscopy (NIRS) and multivariate analysis methods was proposed. Total fat contents of 189 fresh sea cucumber samples were determined and partial least squares (PLS) regression was used to establish the quantitative NIRS model. The ordered predictors selection (OPS) algorithm was performed to select feasible wavelength regions for the construction of PLS and identification models. The identification model was developed by the principal component analysis combined with Mahalanobis distance (PCA-MD) and Scaling to the first range algorithms. In the test set of the optimum PLS models, the root mean square errors of prediction (RMSEP) was 0.45, and correlation coefficients (R2) was 0.90. The correct classification rates of 100% were obtained both in identification calibration model and test model. The overall results indicated that NIRS method combined with chemometric analysis was a suitable tool for origin traceability and identification of fresh sea cucumber samples from nine origins in China.
Figure 5 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 5 PCA score plot of the sweet orange, lime, lemon peel oils, turpentine oil and commercial oil products A, B and C.
Figure 3 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 3 ATR-FTIR spectra of three commercial oil products in the 3500–500 cm-1 region. (1: Product A, 2: Product B, 3: Product C).
Figure 4 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 4 Correlation curves between the actual values (x-axis) and the predicted values (y-axis): (A) the model's calibration using the 1650–1450 cm-1 region (optimised wavenumbers), (B) internal validation and (C) external validation.
Figure 2 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 2 ATR-FTIR spectra of sweet orange peel oil (MKJM) mixed with turpentine oil (MT) at different concentrations.
Dataset: Evaluation of Physicochemical Properties of Ipsapirone Derivatives Based on Chromatographic and Chemometric Approaches
<p>Dataset for publication</p> <p> </p>
Dataset: Modification of Gradient HPLC Method for Determination of Small Molecules' Affinity to Human Serum Albumin under Column Safety Conditions: Robustness and Chemometrics Study
<p>Dataset for publication.</p> <p> </p>
Fig. 5. Synchronized 2D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 5. Synchronized 2D PCA score plot of all 18 samples of Ganoderma mushroom.
Fig. 4. Synchronized 3D in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 4. Synchronized 3D PCA plot of all 18 samples of Ganoderma mushroom.
Fig. 5 in Quantitative variations of usnic acid and selected elements in terricolous lichen Cladonia mitis Sandst., with respect to different environmental factors - A chemometric approach
Fig. 5. Map of the sampling localities (N1 – P7) along the transect.
Data from: Non-destructive geographical traceability of sea cucumber (Apostichopus japonicus) using near infrared spectroscopy combined with chemometric methods
Open the record for dataset details and reuse information.
Figure 1 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 1 ATR-FTIR spectra of sweet orange (1–3), lime (4–6) and lemon (7–8).
Fig. 7 in Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis
Fig. 7. Heatmap of all the 70 metabolites identified in different strains of Ganoderma mushroom extracts in triplicate.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.