This work evaluates near-infrared () spectroscopy coupled with chemometric tools for determining the superficial content of citral ( ) on microparticles. To perform this evaluation, using spray drying, citral was encapsulated in a matrix of dextrin using twelve combinations of citral:dextrin ratios () and inlet air temperatures (). From each treatment, six samples were extracted, and their and absorption spectral profiles were measured. Then, the spectral profiles, pretreated and randomly divided into modeling and validation datasets, were used to build the following prediction models: principal component analysis-multilinear regression (), principal component analysis-artificial neural network (), partial least squares regression () and an artificial neural network (). During the validation stage, the models showed values from 0.73 to 0.96 and a root mean squared error () range of [0.061-0.140]. Moreover, when the models were compared, the full and optimized ANN models showed the best fits. According to this study, coupled with chemometric tools has the potential for application in determining on microparticles, particularly when using models.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675954 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2019.e02122 | DOI Listing |
Int J Biol Macromol
January 2025
NBFC - National Biodiversity Future Center, 90133 Palermo, Italy; University of Naples Federico II, Department of Biology, Naples, Italy. Electronic address:
Bio-valorization of agri-food wastes lies in their possible conversion into fermented foodstuffs/beverages and/or biodegradable polymers such as bacterial cellulose. In this study, three different kombucha cultures were formulated using agri-food waste materials, citrus fruit residues and used coffee grounds, as alternative carbon and nitrogen sources, respectively. Over 21 days of fermentation, the kinetic profile was followed by monitoring cell number, pH variation, minerals, trace elements and production of bacterial cellulose.
View Article and Find Full Text PDFFood Chem
January 2025
China Light Industry Key Laboratory of Food Intelligent Detection & Processing, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China; International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing, Jiangsu University, Zhenjiang 212013, China. Electronic address:
Flexible surface-enhanced Raman scattering (SERS) sensors offer a promising solution for the rapid in situ monitoring of food safety. The sensor's capability to furnish quantitative detection and retain recyclability is crucial in practical applications. This study proposes a self-cleaning flexible SERS sensor, augmented with an intelligent algorithm designed for expeditious in situ and non-destructive thiram detection on apples.
View Article and Find Full Text PDFAnal Sci
January 2025
Department of Analytical Chemistry, Faculty of Pharmacy, Near East University, TRNC, Mersin 10, 99138, Nicosia, Turkey.
In this research, a green approach utilizing deep eutectic solvent liquid-liquid microextraction is combined with smartphone digital image colorimetry for the determination of boron in nut samples. A smartphone camera was used to capture the image of the analyte extract located in a custom-made colorimetric box. Using ImageJ software, the images were split into RGB channels, with the green channel identified as the optimum.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2025
Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.
Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.
View Article and Find Full Text PDFComput Biol Chem
January 2025
Drug Discovery and Development Laboratory (DDD Lab), Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India. Electronic address:
Multiple myeloma (MM) is the second most frequently diagnosed hematological malignancy, presenting limited treatment options with no curative potential and significant drug resistance. Recent studies involving genetic knockdown established the crucial role of GRK6 in upholding the viability of MM cells, emphasizing the need to identify potential inhibitors. Computational exploration of GRK6 inhibitors has not been attempted previously.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!