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Taxonomy, biological characterization and fungicide sensitivity assays of Hypomyces cornea sp. nov. causing cobweb disease on Auricularia cornea.

Fungal biology
Auricularia cornea is an important edible mushroom crop in China but the occurrence of cobweb disease has cause significance economic loss in its production. The rate of disease occurrence is 16.65% all over the country. In the present study, a new p...

Rapid detection of α-amanitin and β-amanitin in rat plasma by ultra-performance liquid chromatography-tandem mass spectrometry and its application to the toxicokinetic study of Lepiota brunneoincarnata.

Forensic toxicology
PURPOSE: Lepiota brunneoincarnata is a well-known poisonous mushroom and is responsible for fatal mushroom poisoning cases worldwide. α-Amanitin and β-amanitin are the main amatoxin compounds of Lepiota brunneoincarnata. However, there are no publish...

Analysis of Five Mushroom Toxins in Blood by UPLC-HRMS.

Fa yi xue za zhi
OBJECTIVES: To develop a method for the simultaneous and rapid detection of five mushroom toxins (α-amanitin, phallacidin, muscimol, muscarine and psilocin) in blood by ultra-high performance liquid chromatography-high resolution mass spectrometry (U...

Structural compliance: A new metric for protein flexibility.

Proteins
Proteins are the active players in performing essential molecular activities throughout biology, and their dynamics has been broadly demonstrated to relate to their mechanisms. The intrinsic fluctuations have often been used to represent their dynami...

Deep learning for species identification of bolete mushrooms with two-dimensional correlation spectral (2DCOS) images.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Bolete is well-known and widely consumed mushroom in the world. However, its medicinal properties and nutritional are completely different from one species to another. Therefore, the consumers need a fast and effective detection method to discriminat...

Verified the rapid evaluation of the edible safety of wild porcini mushrooms, using deep learning and PLS-DA.

Journal of the science of food and agriculture
BACKGROUND: How to quickly identify poisonous mushrooms is a worldwide problem, because poisonous mushrooms and edible mushrooms have very similar appearances. Even some edible mushrooms must be processed further before they can be eaten. In addition...

A fast multi-source information fusion strategy based on deep learning for species identification of boletes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Wild mushroom market is an important economic source of Yunnan province in China, and its wild mushroom resources are also valuable wealth in the world. This work will put forward a method of species identification and optimize the method in order to...

Synthetic growth by self-lubricated photopolymerization and extrusion inspired by plants and fungi.

Proceedings of the National Academy of Sciences of the United States of America
Many natural organisms, such as fungal hyphae and plant roots, grow at their tips, enabling the generation of complex bodies composed of natural materials as well as dexterous movement and exploration. Tip growth presents an exemplary process by whic...

Fingerprinting of Boletus bainiugan: FT-NIR spectroscopy combined with machine learning a new workflow for storage period identification.

Food microbiology
Food authenticity and food safety issues have threatened the prosperity of the entire community. The phenomenon of selling porcini mushrooms as old mixed with new jeopardizes consumer safety. Herein, nucleoside contents and spectra of 831 Boletus bai...

Mushroom species classification and implementation based on improved MobileNetV3.

Journal of food science
Current methods for mushroom species classification face limitations in generalization ability and lack exploration of model deployment. To address these issues, this study systematically compares five models, including Transformer and common convolu...