AI Article Synopsis
- - The study analyzed the optical and internal quality properties of stored potatoes at 25 °C, focusing on their absorption and scattering coefficients, as well as firmness, moisture content, and soluble solids.
- - Storage time significantly affected potato tissue structure, leading to changes in optical properties; increased scattering and strong correlations were found between absorption coefficients and moisture/soluble solids content, while scattering coefficients correlated with firmness.
- - Advanced statistical techniques, specifically the CARS algorithm, enhanced prediction accuracy for various models, indicating that potato optical properties can be effectively used to predict their internal quality.
Article Abstract
The optical properties [absorption coefficient (μ) and reduced scattering coefficient (μ')] and internal quality [firmness (FI), moisture content (MC), and soluble solids content (SSC)] of stored potatoes at 25 °C were determined, along with ultrastructure observation. Potato tissue ultrastructure changed significantly with storage time, exhibiting enhanced scattering properties and a monotonic increase in μ'. The μ spectra showed significant correlations with MC and SSC, while the μ' spectra were more strongly correlated with FI. The competitive adaptive reweighted sampling (CARS) algorithm improved the prediction accuracy for partial least squares regression (PLSR) and support vector regression (SVR) models. The best predictions were 1st-Derivative-μ'-FI-PLSR (R = 0.897, RMSEP = 0.036 N, RPD = 2.262), SG-μ -MC-SVR (R = 0.886, RMSEP = 0.438 %, RPD = 2.157), and Raw-μ -SSC-SVR (R = 0.873, RMSEP = 0.137 %, RPD = 2.050). These results demonstrate the potential for predicting internal quality using potato's optical properties.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.foodchem.2023.138334 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Enhanced multifaceted model for plasmon-driven Schottky solar cells with integrated thermal effects.
Sci Rep
January 2025
Department of Physics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
This paper explores the development of an opto-thermal-electrical model for plasmonic Schottky solar cells (PSSCs) using a comprehensive multiphysics approach. We simulated the optical properties, power conversion efficiencies, and energy yield of PSSCs with varying nanoparticle (NP) configurations and sizes. Our spectral analysis focused on the absorption characteristics of these solar cells, examining systems sized 3 × 3, 5 × 5, and 7 × 7, with NP radii ranging from 10 to 150 nm.
View Article and Find Full Text PDFTransformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning.
Nat Commun
January 2025
School of Information Science and Technology, Fudan University, Shanghai, China.
Accelerating the discovery of novel crystal materials by machine learning is crucial for advancing various technologies from clean energy to information processing. The machine-learning models for prediction of materials properties require embedding atomic information, while traditional methods have limited effectiveness in enhancing prediction accuracy. Here, we proposed an atomic embedding strategy called universal atomic embeddings (UAEs) for their broad applicability as atomic fingerprints, and generated the UAE tensors based on the proposed CrystalTransformer model.
View Article and Find Full Text PDFObservation of ultraviolet photothermoelectric bipolar impulse in gallium-based heterostructure nanowires.
Nat Commun
January 2025
Key Laboratory of Advanced Photonic and Electronic Materials, Key Laboratory of Optoelectronic Devices and Systems with Extreme Performances of MOE and School of Electronic Science and Engineering, Nanjing University, Nanjing, 210093, China.
The incorporation of thermal dynamics alongside conventional optoelectronic principles holds immense promise for advancing technology. Here, we introduce a GaON/GaN heterostructure-nanowire ultraviolet electrochemical cell of observing a photothermoelectric bipolar impulse characteristic. By leveraging the distinct thermoelectric properties of GaON/GaN, rapid generation of hot carriers establishes bidirectional instantaneous gradients in concentration and temperature within the nanoscale heterostructure via light on/off modulation.
View Article and Find Full Text PDFSite-specific substitution in atomically precise carboranethiol-protected nanoclusters and concomitant changes in electronic properties.
Nat Commun
January 2025
DST Unit of Nanoscience (DST UNS) and Thematic Unit of Excellence (TUE), Department of Chemistry, Indian Institute of Technology, Madras, Chennai, 600036, India.
We report the synthesis of [Ag(o-CBT)] abbreviated as Ag, a stable 8e⁻ anionic cluster with a unique Ag@Ag@Ag core-shell structure, where o-CBT is ortho-carborane-1-thiol. By substituting Ag atoms with Au and/or Cu at specific sites we created isostructural clusters [AuAg(o-CBT)] (AuAg), [AgCu(o-CBT)] (AgCu) and [AuAgCu(o-CBT)] (AuAgCu). These substitutions make systematic modulation of their structural and electronic properties.
View Article and Find Full Text PDFTumor-Homing Biomimetic Near-Infrared II SERS Probes for Targeted Intraoperative Resection Guidance of Orthotopic Glioblastoma.
Nano Lett
January 2025
School of Materials Science and Engineering, Central South University, Changsha, Hunan 410083, China.
In vivo optical imaging holds great potential for surgical guidance with the ability to intraoperatively identify tumor lesions in a surgical bed and navigate their surgical excision in real time. Nevertheless, its full potential remains underexploited, mainly due to the dearth of high-performance optical probes. Herein, hybrid cell membrane-biomimetic near-infrared II surface-enhanced Raman spectroscopy (NIR-II SERS) probes are reported for intraoperative resection guidance of orthotopic glioblastoma.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!