Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety

• Autres auteurs: Guo, Zhiming (Éditeur intellectuel), Zhang, Zhao (Éditeur intellectuel), Hu, Dong (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Sujets: Research & information: general; Biology, life sciences; Technology, engineering, agriculture; maize; moldy level; catalase activity; hyperspectral image; data fusion; feature selection; fruit quality monitoring; room-temperature ethylene sensor; density functional theory; adsorption energy; band energy alignment; apple; NIR; size correction; extinction coefficient; fruit diameter difference; acceptability; benchtop NMR; mandarins; NMR; successive projective algorithm; uninformative variable elimination; support vector regression; Korla fragrant pear; stone cell content; intelligent evaluation; cultivation; visible/near infrared spectrum; fresh jujube; model update; variable fusion; defective apples; apple grading; deep learning; object detection; semantic segmentation; shrimp; hot air drying; quality change; hyperspectral images; low field magnetic resonance; micro Raman; microfluidic chip; fungal spores; crop disease; numerical simulation; degree of milling; multi-scale information fusion; residual network model; Bayesian optimization algorithm; hyperspectral imaging; maize seeds; defect detection; convolutional neural network; tomato; leaf mildew; terahertz time-domain spectroscopy; near infrared hyperspectral technology; multi-source information fusion; YOLOv5; walnut kernels; impurities detection; small object detection; liposomes; high stability; freshness; bi-layer indicator; light penetration depth; spatial-frequency domain imaging; depth-resolved; bruise; scattering; near infrared spectroscopy; vegetables; anthocyanidins; fast determination; Curcumae Longae Rhizoma; volatile oil; 60Co; GC-IMS; SERS detection; chromium contamination; tea sample; carbimazole hydrolysate; Au@Ag nanoparticles; PAEs; Raman; DFT; HF; theoretical study; gas sensor; spoilage monitoring; early warning; logistics control; simulated annealing; surface-enhanced Raman spectroscopy; flexible substrate; polycyclic aromatic hydrocarbons; in situ detection; common carp; texture; machine learning; visualization; n/a
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Fast, non-destructive detection technology and equipment for food quality and safety is a powerful technical support tool to ensure the development of food industry informatization and intelligence, with the advantages of fast speed, convenient operation, and easy online inspection. During the past...