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Article
Agriculture, Dairy & Animal Science
E. Hayes et al.
Summary: The composition of seasonal pasture-produced milk is influenced by lactation stage and diet. The study shows that from 2012 to 2020, the levels of crude protein, casein, fat, and solids in the milk increased, while lactose concentration peaked in 2017 and then decreased. Forecasting models were successfully created to predict milk composition based on seasonal data, and extreme weather conditions were found to affect grass growth and nonprotein nitrogen levels in milk. This study demonstrates the importance of considering seasonal changes and their impact on milk composition in pasture-based systems.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Engineering, Chemical
Qiyong Jiang et al.
Summary: This study developed a model food product as the test material and applied different modeling methods to establish the relationship between near-infrared spectra and quality indicators of frozen food. Principal component analysis and hierarchical clustering analysis results showed good distinctions among NIR spectra based on different moisture content. The modeling results demonstrated that BP-ANN algorithm performed the best in predicting the quality indicators of frozen samples with higher R2 and lower RMSE.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Yunyue Zhang et al.
Summary: This study developed an ultrasensitive IST platform using NIR-IIa' fluorescent nanoparticles as labels for simultaneous detection of sulfonamides, quinolones, and lincomycin in milk. The platform showed high sensitivity, a wide detection range, and good accuracy.
JOURNAL OF ADVANCED RESEARCH
(2023)
Article
Food Science & Technology
Zhiqian Liu et al.
Summary: Lipids are a major component of milk and recent advancements in identifying molecular species, elucidating deep structure, and quantifying accurately have been made. Over 4000 lipid species have been identified in bovine milk, and progress has been made in determining the position and bond location of milk phospholipids. Using multiple standards with isotopic correction is necessary for accurate lipid quantification. Branched- and odd-chain fatty acids in milk have gained attention due to their potential health benefits. Milk lipidomics shows promise in discovering biomarkers for mastitis and heat stress in dairy cows.
CURRENT OPINION IN FOOD SCIENCE
(2023)
Article
Computer Science, Software Engineering
Gabor Fabian
Summary: In this paper, the well-known Savitzky-Golay filter is extended to three-dimensional triangular meshes for smoothing noisy measurement signals. The original idea of locally polynomial model fitting is naturally adapted for smoothing functions defined on irregular two-dimensional triangular meshes. The focus is on surfaces represented by three-dimensional triangular meshes, which are locally homeomorphic to the two-dimensional topological disk. The generalized filter is defined on the plane, and local embeddings are used to pair the points of the two-dimensional disk and the three-dimensional surface, allowing for fitting low-degree multidimensional polynomials and obtaining a similar continuous model. The method is applied for mesh smoothing and compared to other mesh smoothing methods.
COMPUTER AIDED GEOMETRIC DESIGN
(2023)
Article
Chemistry, Applied
Minhui An et al.
Summary: In this study, a prediction model of walnut mold was established using near-infrared spectroscopy to achieve non-destructive detection. Various preprocessing methods were used to extract features from the spectra, and SVM and ELM models were developed, both achieving 100% accuracy in identifying moldy walnuts. An online identification system was also built to automate the process. The results show that the model accurately predicts moldy walnuts, and the non-destructive nature of the method provides an advantage over traditional shell-breaking methods.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Chemistry, Applied
Fazeela Kandhro et al.
Summary: This study compared the levels of electrolytes and essential trace elements in milk samples from different cattle species and humans, finding variations in the content of these elements among different animal species, with human milk having the lowest concentrations except for selenium. Additionally, there were differences in the percentage of elements in whey compared to total milk samples across different species.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2022)
Article
Engineering, Chemical
Tingfei Zhang et al.
Summary: The study aimed to design an identification system using a portable NIR spectrometer and feature extraction algorithms to authenticate the geographical origin of milk. The combination of the portable NIR spectrometer and FUDT showed great potential in accurately determining the geographical origin of milk.
JOURNAL OF FOOD PROCESS ENGINEERING
(2022)
Review
Food Science & Technology
Maii M. Nagy et al.
Summary: This review presents the applications of near infrared spectroscopy (NIRS) in the quality control (QC) of nutraceuticals, with a focus on targeted and untargeted approaches. NIRS shows advantages compared to other spectroscopic tools in nutraceutical QC but there is still room for improvement.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Automation & Control Systems
Mai Said et al.
Summary: A semi-supervised deep learning algorithm is proposed in this study to predict milk fat content and water adulteration ratio. The research results show that even with a reduced referenced dataset and a portion of the spectrometer units, combined with unsupervised data, accurate predictions of milk properties can still be achieved.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Chemistry, Analytical
Mohammed Alaoui Mansouri et al.
Summary: The study aimed to test the ability of vibrational spectroscopy techniques to differentiate between different polymorphic forms of fluconazole in pharmaceutical products. Results showed that combining FT-IR or FT-NIR with PLS-DA had high efficiency and selectivity in classifying fluconazole polymorphs.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2021)
Article
Agronomy
Yanjun Shen et al.
Summary: An innovative strategy involving mid-infrared spectroscopy and fuzzy uncorrelated discriminant analysis was proposed for quick and accurate detection of lambda-cyhalothrin residues on Chinese cabbage. Various methods were utilized for data preprocessing, feature extraction, and classification, resulting in high identification accuracy rates. This method shows potential for application in other crops and pesticide residues.
Review
Agriculture, Dairy & Animal Science
A. Costa et al.
JOURNAL OF DAIRY SCIENCE
(2019)
Article
Biochemistry & Molecular Biology
Gracy K. V. V. Medeiros et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2018)
Article
Agriculture, Dairy & Animal Science
Arunima Gulati et al.
JOURNAL OF DAIRY SCIENCE
(2018)
Review
Food Science & Technology
W. L. Claeys et al.
Article
Chemistry, Analytical
Boxia Li et al.
VIBRATIONAL SPECTROSCOPY
(2012)
Editorial Material
Engineering, Electrical & Electronic
Ronald W. Schafer
IEEE SIGNAL PROCESSING MAGAZINE
(2011)
Review
Agriculture, Dairy & Animal Science
A. L. Goetsch et al.
SMALL RUMINANT RESEARCH
(2011)
Article
Agriculture, Dairy & Animal Science
G. C. B. Schopen et al.
JOURNAL OF DAIRY SCIENCE
(2009)
Article
Chemistry, Analytical
MS Larrechi et al.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2003)
Article
Computer Science, Artificial Intelligence
LF Chen et al.
PATTERN RECOGNITION
(2000)
