Near infrared hyperspectral imaging as a sorting tool for deoxynivalenol reduction in wheat batches.

The present study aimed to evaluate the feasibility of using near-infrared hyperspectral imaging (NIR-HSI) and chemometrics for classification of individual wheat kernels according to their deoxynivalenol (DON) level. In total, 600 wheat kernels from samples naturally contaminated over the maximum EU level were collected, and the DON content in each individual wheat kernel was analyzed by UHPLC. Linear discriminant analysis (LDA) was employed for building classification models of DON using the EU maximum level as cut off level, and they were tested on balanced and imbalanced test sets.

Quantification and classification of deoxynivalenol-contaminated oat samples by near-infrared hyperspectral imaging.

Deoxynivalenol (DON) is the most occurring mycotoxin in oat and oat-based products. Near-infrared hyperspectral imaging (NIR-HSI) has been proposed as a promising methodology for analysing DON contamination in the food industry. The present study aims to apply NIR-HSI for DON detection in oat kernels and to quantify and classify naturally DON-contaminated oat samples.

One-lung ventilation in obese patients undergoing thoracoscopic lobectomy for lung cancer.

Background: We evaluated the safety and feasibility of one-lung ventilation in obese patients undergoing thoracoscopic lobectomy and whether obesity affected peri- and postoperative outcomes.

Methods: This was a retrospective single center study including consecutive patients undergoing thoracoscopic lobectomy between October 2019 and February 2022. Obese patients were statistically compared to a control group to evaluate any differences in relation to one-lung ventilation and peri- and postoperative outcomes.

Mapping cell cortex rheology to tissue rheology and vice versa.

The mechanics of biological tissues mainly proceeds from the cell cortex rheology. A direct, explicit link between cortex rheology and tissue rheology remains lacking, yet would be instrumental in understanding how modulations of cortical mechanics may impact tissue mechanical behavior. Using an ordered geometry built on 3D hexagonal, incompressible cells, we build a mapping relating the cortical rheology to the monolayer tissue rheology.