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

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Review of research on Dendrobium, a prized folk medicine

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Porcini mushrooms (Boletus sect. Boletus) from China

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Resource diversity of Chinese macrofungi: edible, medicinal and poisonous species

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Environmental Hazards of Cadmium: Past, Present, and Future

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Arsenic and arsenic speciation in mushrooms from China: A review

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Bolete mushroom Boletus bainiugan from Yunnan as a reflection of the geographical distribution of 210Po, 210Pb and uranium (234U, 235U, 238U) radionuclides, their intake rates and effective exposure doses

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Neural network and deep-learning algorithms used in QSAR studies: merits and drawbacks

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Poisoning associated with the use of mushrooms: A review of the global pattern and main characteristics

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A mini-review of chemical composition and nutritional value of edible wild-grown mushroom from China

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Mercury in stir-fried and raw mushrooms from the Boletaceae family from the geochemically anomalous region in the Midu county, China

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Characterization and antioxidant activities of polysaccharides from thirteen boletus mushrooms

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Cadmium mobility in a circular food-to-waste-to-food system and the use of a cultivated mushroom (Agaricus subrufescens) as a remediation agent

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Synergistic strategy for the geographical traceability of wild Boletus tomentipes by means of data fusion analysis

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FTIR and UV spectra for the prediction of triterpene acids in Macrohyporia cocos

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A fast multi-source information fusion strategy based on FTIR spectroscopy for geographical authentication of wild Gentiana rigescens

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A practical method superior to traditional spectral identification: Two-dimensional correlation spectroscopy combined with deep learning to identify Paris species

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

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How to trace the geographic origin of mushrooms?

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Trends of utilizing mushroom polysaccharides (MPs) as potent nutraceutical components in food and medicine: A comprehensive review

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Advances in umami taste and aroma of edible mushrooms

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Evolution of the Lignin Chemical Structure during the Bioethanol Production Process and Its Inhibition to Enzymatic Hydrolysis

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Traditional uses, chemical components and pharmacological activities of the genus Ganoderma P. Karst.: a review

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Authentication of Dendrobium Species Using Near-Infrared and Ultraviolet–Visible Spectroscopy with Chemometrics and Data Fusion

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Application of Authentication Evaluation Techniques of Ethnobotanical Medicinal Plant Genus Paris: A Review

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A comprehensive review on phenolic compounds from edible mushrooms: Occurrence, biological activity, application and future prospective

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Reviewing the world's edible mushroom species: A new evidence‐based classification system

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Ultraviolet Spectroscopy Used to Fingerprint Five Wild-Grown Edible Mushrooms (Boletaceae) Collected from Yunnan, China

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Comparison of chemical profiles between the root and aerial parts from three Bupleurum species based on a UHPLC-QTOF-MS metabolomics approach

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Fingerprint analysis of processed Rhizoma Chuanxiong by high-performance liquid chromatography coupled with diode array detection

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Fingerprint analysis of Resina Draconis by ultra-performance liquid chromatography

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Classification and identification of TCM by macro-interpretation based on FT-IR combined with 2DCOS-IR

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Distributed Rateless Codes with Unequal Error Protection Property for Space Information Networks

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Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Methods for the Classification of Lingzhi Species

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Alterations in Metabolic Profile Unveiled Through Untargeted and Targeted Metabolomics Approaches and Sensory Characteristics of Akebia Trifoliata Fruits Fermented Juice

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Characterization of Chemical Information and Content Prediction of Dendrobium officinale Based on ATR‐FTIR

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

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Direct infusion–multiple reaction monitoring cubed (DI–MRM3) enables widely targeted bi-omics of Colla Corii Asini (Chinese name: Ejiao)

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Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning

inferred← citeshttps://doi.org/10.1016/j.infrared.2024.105690openalex-snapshot

Accreditations of the optimal origins of Boletus bainiugan using Fourier transform near-infrared spectroscopy in combination with environmental variables and heavy metal element determinations

inferred← citeshttps://doi.org/10.1016/j.jafr.2023.100743openalex-snapshot

Technical exploration of the origins, storage periods and species identification of Boletus bainiugan

inferred← citeshttps://doi.org/10.1016/j.jfca.2023.105890openalex-snapshot

Deep learning based on the Vis-NIR two-dimensional spectroscopy for adulteration identification of beef and mutton

inferred← citeshttps://doi.org/10.1016/j.jfca.2024.106805openalex-snapshot

Recent trends in non-destructive techniques for quality assessment of edible mushrooms

inferred← citeshttps://doi.org/10.1016/j.lwt.2024.117101openalex-snapshot

Identification and crude protein prediction of porcini mushrooms via deep learning-assisted FTIR fingerprinting

inferred← citeshttps://doi.org/10.1016/j.saa.2022.121137openalex-snapshot

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

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

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Safety risk assessment of edible fungi

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Review of Recent Modern Analytical Technology Combined with Chemometrics Approach Researches on Mushroom Discrimination and Evaluation

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Edible Fungi-Derived Peptides as Future Food Source: Preparation, Functional Implications, and Perspectives

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A Small Sample Recognition Model for Poisonous and Edible Mushrooms based on Graph Convolutional Neural Network

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Optimization of the selection of suitable harvesting periods for medicinal plants: taking Dendrobium officinale as an example

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FT-MIR combined with 3DCOS-ResNet model for rapid identification of wild and cultivated Gastrodia elata

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Selenium–cadmium antagonism alleviates cadmium toxicity and improves the nutritional quality of Dictyophora rubrovolvata in cadmium-contaminated yellow soil

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Combination Ensemble and Explainable Deep Learning Framework for High-Accuracy Classification of Wild Edible Macrofungi

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Experimental Study of Garlic Root Cutting Based on Deep Learning Application in Food Primary Processing

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Application of Machine Learning in Food Safety Risk Assessment

inferred← citeshttps://doi.org/10.6084/m9.figshare.26694333openalex-snapshot

Additional file 1 of Optimization of the selection of suitable harvesting periods for medicinal plants: taking Dendrobium officinale as an example

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