Data Treatment for LC-MS Untargeted Analysis.

Liquid Chromatography-Mass Spectrometry (LC-MS) untargeted experiments require complex bioinformatic strategies to extract information from the experimental data. Here we discuss the "data preprocessing," the set of procedures performed on the raw data to produce a data matrix which will be the starting point for the subsequent statistical analysis. Data preprocessing is a crucial step on the path to knowledge extraction, which should be carefully controlled and optimized in order to maximize the output of any untargeted metabolomics investigation.

A novel dataset and deep learning object detection benchmark for grapevine pest surveillance.

Flavescence dorée (FD) poses a significant threat to grapevine health, with the American grapevine leafhopper, , serving as the primary vector. FD is responsible for yield losses and high production costs due to mandatory insecticide treatments, infected plant uprooting, and replanting. Another potential FD vector is the mosaic leafhopper, , commonly found in agroecosystems.

Profiling and visualization of organic acids in grape plants by desorption electrospray ionization imaging.

Organic acids play a crucial role in determining the quality of grapes and their derived products, such as wine and juice. Despite their critical role in grapevine physiology and fruit quality, limited research has investigated the distribution of these acids within grape plants. This study employed desorption electrospray ionization (DESI) imaging to rapidly profile and image key organic acids across various grape tissues.

Correlation between tree-ring series as a dendroprovenancing evaluation tool.

The use of correlation between tree-ring series as a proximity indicator in dendroprovenance analyses is often questioned. High correlations may occur between series at a great distance, but conversely, low correlations may occur between series that are close to each other. This discrepancy has prompted the exploration of alternative dendroprovenancing methods, but many of them have proven to be unreliable or impractical.

New Insights into Milk and Dairy Products: Quality and Sustainability.

The dairy industry is confronting a major challenge that could profoundly affect its future and its long-standing role as a cornerstone of human nutrition [...