Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics.

Boletus bainiugan has high nutritional and economic values. As one of the potential medicinal active ingredients, nucleosides have important research significance. Porcini mushrooms fraud is frequently detected on the market, including substitute inferior into superior and lack of geographical origin's certification.

The method based on ATR-FTIR spectroscopy combined with feature variable selection for the boletus species and origins identification.

Wild boletus mushrooms, which are macrofungi of the phylum Basidiomycetes, are a nutritious and unique natural food that is widely enjoyed. Since boletus are consumed with problems of indistinguishable toxic and non-toxic species and heavy metal enrichment, their species identification and traceability are crucial in ensuring quality and safety of consumption. In this study, the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy technique combined with three feature variable extraction methods, manual selection method, semi-manual selection method, and algorithm method, were used to improve the accuracy and computational speed of the model identification, and the models were established for the identification of boletus species with an accuracy of up to 100% as well as for the identification of boletus origin with an accuracy of 86.

Geographic traceability of Gastrodia elata Blum based on combination of NIRS and Chemometrics.

The content of the active ingredient in G. elata Bl. is affected by the soil and climate of different regions, so geographical traceability is essential to ensure its quality, commercial value.

Comprehensive quality evaluation of dried boletus slices based on fingerprinting and chemometrics.

Mushrooms not only serve as a source of a wide range of nutrients in the structure of the human diet, but they have also received a great deal of attention in the field of biopharmaceuticals because of their wide range of medicinal benefits. Rapid quality certification of boletus (porcini) mushrooms is particularly important as a health food and as a potential source of medicines before purchase and production. Infrared (IR) spectroscopy is commonly used for rapid qualitative and quantitative analyses of foods and herbs.

Rapid and accurate identification of Gastrodia elata Blume species based on FTIR and NIR spectroscopy combined with chemometric methods.

Different varieties of Gastrodia elata Blume (G. elata Bl.) have different qualities and different contents of active ingredients, such as polysaccharide and gastrodin, and it is generally believed that the higher the active ingredients, the better the quality of G.

Effect of drying temperature on composition of edible mushrooms: Characterization and assessment via HS-GC-MS and IR spectral based volatile profiling and chemometrics.

Edible wild mushrooms are one of the popular ingredients due to their high quality and unique flavor and nutrients. To gain insight into the effect of drying temperature on its composition, 86 were divided into 5 groups and dried at different temperatures. Headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) was used for the identification of volatile organic compounds (VOCs) of .

Three new species of (Polyporales, Basidiomycota) from China.

is a cosmopolitan genus characterized by effused-reflexed to pileate basidiomata with a bluish tint and allantoid to cylindrical basidiospores which are negative to weakly positive in Melzer's reagent and Cotton Blue, causing a brown rot. Three new species of , namely, , and are described and illustrated. Phylogenies on are reconstructed with seven loci DNA sequences including ITS, nLSU, nSSU, mtSSU, RPB1, RPB2 and TEF1 based on phylogenetic analyses combined with morphological examination.

Application of ATR-FTIR and FT-NIR spectroscopy coupled with chemometrics for species identification and quality prediction of boletes.

The taste and aroma of edible mushrooms, which is a criterion of judgment for consumer purchases, are influenced by amino acids and their metabolites. Sixty-eight amino acids and their metabolites were identified using liquid chromatography mass spectrometry (LC-MS), and 16 critical marker components were screened. The chemical composition of different species of boletes was characterized by two-dimensional correlation spectroscopy (2DCOS) to determine the sequence of molecular vibrations or group changes.

Molecular and morphological data reveal two new polypores (Polyporales, Basidiomycota) with reddish brown to orange basidiomata from China.

Two taxonomically controversial polypore genera with reddish brown to orange basidiomata that stain reddish with KOH solution, and , are revised based on additional sampling, morphological examination, and phylogenetic analysis of a combined dataset of ITS1-5.8S-ITS2-nLSU sequences. is a monophyletic genus belonging to Phanerochaetaceae, whereas is a polyphyletic genus belonging to Meruliaceae.

Identification of geographical origins of Gastrodia elata Blume based on multisource data fusion.

Introduction: Identifying the geographical origin of Gastrodia elata Blume contributes to the scientific and rational utilization of medicinal materials. In this study, infrared spectroscopy was combined with machine learning algorithms to distinguish the origin of G. elata BI.

[Identification of HSP70 gene family members in Fritillaria cirrhosa and expression analysis in different tissues under high temperature stress].

The heat shock protein 70 family contains the stress proteins ubiquitous in plants. These proteins are involved in the responses to different abiotic stress conditions and have highly conserved gene sequences. However, little is known about the molecular mechanisms of Fritillaria cirrhosa in response to high-temperature stress.

Three new species of (Mycenaceae, Agaricales) from South China.

The genus within the family Mycenaceae is characterised by the gelatinous basidiomata with poroid hymenophore and most species inhabit monocotyledonous plants. In this study, many samples covering a wide geographic range in China were examined morphologically and phylogenetically using concatenated ITS1-5.8S-ITS2-nLSU sequence data.

Molecular and morphological data reveal two new species of (Hymenochaetaceae, Basidiomycota) from Australia and tropical Asia.

Phylogenetic analyses and morphological examination confirmed two new species in the tropical polypore genus , and , from Australia and tropical Asia, respectively. A phylogenetic analysis based on the two DNA markers including the nuclear ribosomal internal transcribed spacer (ITS) region and the large subunit (nLSU) gene shows that these two new species form two independent lineages nested in the genus . is characterized by perennial and ungulate basidiomata, the occasional presence of hymenial setae, a trimitic hyphal structure in the context and a dimitic hyphal system in the trama, and broadly ellipsoid to subglobose basidiospores measuring 5.

Building deep learning and traditional chemometric models based on Fourier transform mid-infrared spectroscopy: Identification of wild and cultivated .

To identify wild and cultivated quickly and accurately, this study is the first to apply three-dimensional correlation spectroscopy (3DCOS) images combined with deep learning models to the identification of . The spectral data used for model building do not require any preprocessing, and the spectral data are converted into three-dimensional spectral images for model building. For large sample studies, the time cost is minimized.

Review of postharvest processing of edible wild-grown mushrooms.

Edible wild-grown mushrooms, plentiful in resources, have excellent organoleptic properties, flavor, nutrition, and bioactive substances. However, fresh mushrooms, which have high water and enzymatic activity, are not protected by cuticles and are easily attacked by microorganisms. And wild-grown mushroom harvesting is seasonal the harvest of edible wild-grown mushrooms is subject to seasonality, so their market availability is challenging.

Volatile compounds and aroma characteristics of mushrooms: a review.

Mushrooms are popular due to their rich medicinal and nutritional value. Of the many characteristics of mushrooms, aroma has received extensive attention and research as a key determinant of consumer preference. This paper reviews the production, role and contribution of common volatile compounds (VCs) in wild and cultivated mushrooms, and explores the methods used to characterize them and the factors influencing aroma.

cultivation in fallow paddy fields and drylands affects the diversity of soil bacteria and soil chemical properties.

The properties of paddy field (DT) and dry land (HD) soil and food production can be enhanced by the cultivation of (ME) during the fallow period. However, whether ME cultivation affects the soil health and microbial diversity of paddy fields and drylands during the cultivation period remains unclear, and this has greatly limited the wider use of this cultivation model. Here, we analyzed the soil chemical properties and bacterial diversity (via metabarcoding sequencing) of DT and HD soils following ME cultivation.

Species diversity of pathogenic wood-rotting fungi (Agaricomycetes, Basidiomycota) in China.

Wood-rotting basidiomycetes have been investigated in the Chinese forest ecosystem for the past 30 years. Two hundred and five pathogenic wood-decayers belonging to 9 orders, 30 families, and 74 genera have been found in Chinese native forests, plantations, and gardens. Seventy-two species (accounting for 35% of the total pathogenic species) are reported as pathogenic fungi in China for the first time.

Rapid and Accurate Authentication of Porcini Mushroom Species Using Fourier Transform Near-Infrared Spectra Combined with Machine Learning and Chemometrics.

Porcini mushrooms have high nutritional value and great potential, but different species are easily confused, so it is essential to identify them rapidly and precisely. The diversity of nutrients in stipe and cap will lead to differences in spectral information. In this research, Fourier transform near-infrared (FT-NIR) spectral information about imparity species of porcini mushroom stipe and cap was collected and combined into four data matrices.

Two new species of (Russulales, Basidiomycota) in Southwest China.

Two new species of viz. and , are described from southwest China. Phylogeny based on ITS + nLSU dataset demonstrates that samples of the two species form two independent lineages and are different in morphology from the existing species of .

Taxonomy and phylogeny of (Hymenochaetales, clade) from China and North America revealing two new species.

, belonging to the clade of Hymenochaetales, is a worldwide genus with mostly poroid hymenophore of wood-inhabiting fungi. Two new species in the genus, and , are described and illustrated from China and North America based on morphological and molecular evidence. They were mainly found growing on rotten wood of , and .

Machine learning and deep learning based on the small FT-MIR dataset for fine-grained sampling site recognition of boletus tomentipes.

This study proposed the necessity of identifying the sampling sites for Boletus tomentipes (B.tomentipes) in combination with cadmium content and environmental factors. Based on fourier transform mid-infrared spectroscopy (FT-MIR) preprocessing by 1st, 2nd, MSC, SNV and SG, five machine learning (ML) algorithms (NB, DT, KNN, RF, SVM) and three Gradient Boosting Machine (GBM) algorithms (XGBoost, LightGBM, CatBoost) were built.

A new effective method for identifying boletes species based on FT-MIR and three dimensional correlation spectroscopy projected image processing.

This study proposed the necessity of identifying the species for boletes in combination with the medicinal value, nutritional value and the problems existing in the industrial development of boletes. Based on the preprocessing of Fourier transform mid-infrared spectroscopy (FT-MIR) by 1st, 2nd, SNV, 2nd + MSC and 2nd + SG, Multilayer Perceptron (MLP) and CatBoost models were established. To avoid complex preprocessing and feature extraction, we try deep learning modeling methods based on image processing.