Artificial neural network approach for protection of the color of dried golden and pink oyster mushrooms with pretreatments

Gürgen, Ayşenur; Yıldız, Sibel

doi:10.1002/col.22428

Cited by 3 publications

(2 citation statements)

References 34 publications

(48 reference statements)

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“…This information is very important in view of the fact that P. citrinopileatus is becoming increasingly popular thanks to its attractive colour and medicinal properties. Moreover, according to literature data, among the coloured mushrooms such as P. citrinopileatus, P. ostreatus, and P. djamor, the P. citrinopileatus strain exhibited the strongest antioxidant activity [80].…”

Section: Discussionmentioning

confidence: 91%

“…In turn, citric acid protects mushrooms against browning thanks to its antibacterial and antioxidant properties [71] and it is also used to preserve fruit body colour. Gürgen and Yildiz [80] showed that pretreatment with citric acid in P. citrinopileatus helps to protect their yellow color when fruit bodies were dried. As for malic acid, it is often added to foods as an acidic additive to improve the organoleptic properties of foods [69].…”

Section: Discussionmentioning

confidence: 99%

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A Possibility to Use Selected Crop Post-Extraction Wastes to Improve the Composition of Cultivated Mushroom Pleurotus citrinopileatus

Magdziak

Gąsecka

Stuper‐Szablewska

et al. 2021

JoF

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A cultivated mushroom species, Pleurotus citrinopileatus, is becoming increasingly popular thanks to its attractive colour and medicinal properties. In this study, P. citrinopileatus was grown in a cultivation medium enriched with wheat bran (WB), thymus post-extraction waste (TPEW) and pumpkin post-extraction waste (PPEW) products. The study showed that the post-extraction wastes are a crucial factor determining the accumulation of minerals, the content/profile of low-molecular-weight organic acids (LMWOAs) and phenolic compounds in fruit bodies, thereby increasing their nutritional value. The use of the waste materials significantly increased LMWOAs contents. The sum of LMWOAs under all cultivation mediums increased, especially quinic, malic and citric acids under the 20% PPEW, 25 and 50% TPEW addition. Total phenolic content, phenolic content, as well as the composition and scavenging effect on DPPH radicals, were strongly dependent on the used substrate. The control variant was poor in phenolic compounds, while the supplementation increased the contents and diversity of these metabolites. In the control, only four phenolic compounds were quantified (chlorogenic, gallic, syringic and vanillic acids), while in the supplemented substrates up to 14 different phenolic compounds (caffeic, chlorogenic, p-coumaric, 2,5-dihydroxybenzoic acid, ferulic, gallic, protocatechuic, salicylic, sinapic, syringic, trans-cinnamic and vanillic acids, catechin and rutin).

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

A Possibility to Use Selected Crop Post-Extraction Wastes to Improve the Composition of Cultivated Mushroom Pleurotus citrinopileatus

Magdziak

Gąsecka

Stuper‐Szablewska

et al. 2021

JoF

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Evaluation of Two Recurrent Neural Network Methods for Prediction of Irrigation Rate and Timing

Jiménez¹,

Ortiz²,

Bondesan³

et al. 2020

Transactions of the ASABE

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HighlightsNARX and LSTM recurrent neural networks were evaluated for prediction of irrigation prescriptions.LSTM neural networks presented the best performance for irrigation scheduling using soil matric potential sensors.NARX neural networks had the best performance for predicting irrigation prescriptions using weather data.High performance for several time-ahead predictions using both recurrent neural networks, with R2 > 0.94.The results can be adopted as a decision-support tool in irrigation scheduling for fields with different types of soils.Abstract. The implementation of adequate irrigation strategies could be done through real-time monitoring of soil water status at several soil depths; however, this could also represent a complex nonlinear problem due to the plant-soil-weather relationships. In this study, two recurrent neural network (RNN) models were evaluated to estimate irrigation prescriptions. Data for this study were collected from an on-farm corn irrigation study conducted between 2017 and 2019 in Samson, Alabama. The study used hourly data of weather and soil matric potential (SMP) monitored at three soil depths from 13 sensor probes installed on a loamy fine sand soil and a sandy clay loam soil. Two neural network methods, i.e., a nonlinear autoregressive with exogenous (NARX) input system and long short-term memory (LSTM), were trained, validated, and tested with a maximum dataset of 20,052 records and a maximum of eight categorical attributes to estimate one-step irrigation prescriptions. The performance of both methods was evaluated by varying the model development parameters (neurons or blocks, dropout, and epochs) and determining their impact on the final model prediction. Results showed that both RNN models demonstrated good capability in the prediction of irrigation prescriptions for the soil types studied, with a coefficient of determination (R2) > 0.94 and root mean square error (RMSE) < 1.2 mm. The results of this study indicate that after training the RNNs using the dataset collected in the field, models using only SMP sensors at three soil depths obtained the best performance, followed by models that used only data of solar radiation, temperature, and relative humidity in the prediction of irrigation prescriptions. For future applicability, the RNN models can be extended using datasets from other places for training, which would allow the adoption of a unique data-driven soil moisture model for irrigation scheduling useful in a wide range of soil types. Keywords: Corn, Irrigation scheduling, Machine learning, Modeling, Soil matric potential sensor.

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Exploring the Functional Properties and Nutritional Values of Colored Oyster Mushrooms Species (Pleurotus, Agaricomycetes): A Review

Medihi,

Haiyee,

Patmawati

et al. 2024

Int J Med Mushrooms

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Colored oyster mushrooms species of genus Pleurotus are a variety of edible mushrooms that attract a lot of interest among the consumers and scientists due to its scientific evidence that they have promising health benefits. However, information on their characteristics and properties is still scarce. Consequently, it is important to determine the potential health benefits of the mushrooms. This review paper presents an overview of functional properties and nutritional values of colored oyster mushrooms (Pleurotus spp.). It particularly discusses the types of pigments present in Pleurotus spp., their characteristics, and potential nutritional values. Pigments such as melanin, carotenoids, and flavonoids are reported to be present in colored oyster mushrooms. Moreover, the antioxidant compounds of these mushrooms have been unveiled, demonstrating their potential to counteract oxidative stress and improve general health. In addition, the investigation into the nutritional characteristics of the mushrooms reveals encouraging aspects for their incorporation into dietary considerations. Thus, it can be concluded that colored Pleurotus species have an immense amount of potential for use as natural colorants, as well as nutritious and antioxidant-rich compounds. These mushrooms represent an important advancement in the search for functional foods due to their significant nutrients such as proteins, amino acids, carbohydrates, and fibers.

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Artificial neural network approach for protection of the color of dried golden and pink oyster mushrooms with pretreatments

Cited by 3 publications

References 34 publications

A Possibility to Use Selected Crop Post-Extraction Wastes to Improve the Composition of Cultivated Mushroom Pleurotus citrinopileatus

A Possibility to Use Selected Crop Post-Extraction Wastes to Improve the Composition of Cultivated Mushroom Pleurotus citrinopileatus

Evaluation of Two Recurrent Neural Network Methods for Prediction of Irrigation Rate and Timing

Exploring the Functional Properties and Nutritional Values of Colored Oyster Mushrooms Species (Pleurotus, Agaricomycetes): A Review

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