In the context of current demands in the animal feed industry for controls and analyses, the use of instruments that may be applied on the process line has acquired a significant interest. A key aspect is that the calibrations developed for quality control with instruments sited in the laboratory (at-line) must be transferred to instruments that will be used in the plant itself (online). This study evaluates the standardization and the calibration transfer between a grating monochromator instrument (predispersive) designed for laboratory analysis and a diode array instrument (postdispersive) more adapted to process conditions. Two procedures that correct differences between spectra of two instruments were tested: the patented algorithm by Shenk and Westerhaus and piecewise direct standardization (PDS). Although results were slightly better with PDS, both methods achieved good spectral matching between the two instruments, with levels of repeatability similar to that of the grating instrument itself. The calibration transfer was evaluated in terms of the standard error of prediction (SEP), which was considerably reduced after standardization. However, final calibration models to be used in the diode array instrument must contain spectra from both types of instruments to give acceptable prediction accuracy.
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http://dx.doi.org/10.1021/jf801881n | DOI Listing |
PLoS One
January 2025
Julius Kühn-Institut (JKI), Federal Research Centre for Cultivated Plants, Institute for Epidemiology and Pathogen Diagnostics, Rodent Research, Muenster, Germany.
Small rodents can cause problems on farms such as infrastructure damage, crop losses or pathogen transfer. The latter threatens humans and livestock alike. Frequent contacts between wild rodents and livestock favour pathogen transfer and it is therefore important to understand the movement patterns of small mammals in order to develop strategies to prevent damage and health issues.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
January 2025
Reproductive Medicine Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Objective: To build a prediction nomogram for early prediction of live birth probabilities according to number of oocytes retrieved in women ≤ 35 years of age.
Methods: A prediction model was built including 9265 infertile women ≤ 35 years of age accepting their first ovum pick-up cycle from January 2018 to December 2022. Least absolute shrinkage and selection operator (LASSO) regression was performed to identify independent predictors and establish a nomogram to predict reproductive outcomes.
Talanta
December 2024
University of Lodz, Department of Inorganic and Analytical Chemistry, Electroanalysis and Electrochemistry Group, Faculty of Chemistry, Tamka 12, 91-403, Lodz, Poland. Electronic address:
This article describes the effect of non-stabilized magnetic particles FeO (nanoparticles aggregates) addition to the aqueous phase of the polarized liquid-liquid interface (LLI) on the interfacial ion transfer processes. LLI was formed between 1,2-dichloroethane and water solutions (1,2 DCE)|water. The synthesis of FeO magnetic particles (MPs) was achieved by the co-precipitation method, after which their appearance, size of aggregates, and zeta potential were assessed.
View Article and Find Full Text PDFNat Sci Sleep
December 2024
Department of Otorhinolaryngology, Head and Neck Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430000, People's Republic of China.
Purpose: This study aims to develop a deep learning methodology for quantitative assessing adenoid hypertrophy in nasopharyngoscopy images and to investigate its correlation with the apnea-hypopnea index (AHI) in pediatric patients with obstructive sleep apnea (OSA).
Patients And Methods: A total of 1642 nasopharyngoscopy images were collected from pediatric patients aged 3 to 12 years. After excluding images with obscured secretions, incomplete adenoid exposure, 1500 images were retained for analysis.
Curr Res Food Sci
December 2024
Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Product Processing, Ministry of Agriculture, Beijing, 100193, China.
To solve the existing problems of low yield, uneven quality, and single form of industrially scrambled eggs, we have developed a continuous high-output steam scrambled egg device based on the principle of steam injected. By establishing calibration curves for egg, oil, and steam flow rates, determining the key parameters of the equipment, and simulating the heat transfer process between steam and egg by Computational Fluid Dynamics (CFD), we created the device and verified its production performance. The results show that the capacity of this device can reach 104.
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