Dependence of fat acidity value on wheat grain storage conditions

Kechkin, I. A.; Ermolaev, Vladimir A.; Ivanov, Mikhail; Романенко, А. И.; Gurkovskaya, E. A.

doi:10.1051/bioconf/20201700107

Cited by 13 publications

(9 citation statements)

References 8 publications

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“…The wheat newly harvested have AVs no more than 20 mg KOH/100 g, and those stored have AVs in between 20 and 100 mg KOH/100 g because during storage, wheat AVs are affected by temperature, humidity, air composition, and stored time, and so on (Gao, 2010; Kechkin et al, 2020; Obadi et al, 2018). The results obtained from A 749 nm are normal, similar to the evaluation of wheat normally stored in a grain reserve depot (Kechkin et al, 2020), and all are below the industry safety standard 116 mg KOH/100 g (Ren et al, 2019). Relatively, the AVs obtained by AOCS are mostly small, but the fluctuation range of them is large, ranging from 17.70 to 156.30 mg KOH/100 g, which is larger than the range from 28.04 to 101.99 mg KOH/100 g given by UV‐vis method (Figure 3).…”

Section: Resultsmentioning

confidence: 99%

“…Pc compounds, a kind of dyes, have the characteristic absorption around 700 nm, called Q band, which is derived from the 18‐ π conjugate ring of them and can be tuned by substituents, central metals, solvents, and protons, and so on (Cong et al, 2015; Kechkin et al, 2020). Those nonperipheral alkoxys substituted Pc with zinc, for example, TOZP, has a strong protonation effect in noncoordinated organic solvents, for example, chloroform, dichloromethane, benzene, or toluene (Cong et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Then the spectral data can be substituted into Equation (3) to calculate c b values, which are further used to estimate AVs of wheat samples by Equation (2) (Table S3). The wheat newly harvested have AVs no more than 20 mg KOH/100 g, and those stored have AVs in between 20 and 100 mg KOH/100 g because during storage, wheat AVs are affected by temperature, humidity, air composition, and stored time, and so on (Gao, 2010;Kechkin et al, 2020;Obadi et al, 2018). The results obtained from A 749 nm are normal, similar to the evaluation of wheat normally stored in a grain reserve depot (Kechkin et al, 2020), and all are below the industry safety standard 116 mg KOH/100 g (Ren et al, 2019).…”

Section: Analysis On Avs Of 24 Wheat Samplesmentioning

confidence: 99%

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A microchemical analysis of acid values in stored wheat

Yang

Cong

et al. 2022

Cereal Chem

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Background and Objectives Quantifying the acid value of stored wheat is of great significance for timely treatment and avoiding waste. For the low‐fat content in wheat, the aim of this study is to propose a microchemical way for the acid value analysis. Findings Twenty‐four wheat samples are taken from the grain reserve depot and the acid values of them are analyzed by the spectral response of one phthalocyanine dye, tetra‐α‐octoxy substituted zinc phthalocyanine, to a fatty acid. Under the experimental conditions, a linear relation exists between the absorbance of this dye at 749 nm (A749 nm) and the concentration logarithm (lncb) of fatty acid (palmitic acid) in chloroform, R2 = 1.000. Conclusions By the aforesaid linearity, 1 µl of extracted wheat oil is enough to determine the acid values of wheat samples, which can avoid the interference from the color of the sample in traditional titration. Significance and Novelty The UV‐visible method has great potential in the actual analysis of the acid value of wheat samples and has important reference value for the analysis of other related agricultural products, food and drugs, and so on.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Analysis On Avs Of 24 Wheat Samplesmentioning

confidence: 99%

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A microchemical analysis of acid values in stored wheat

Yang

Cong

et al. 2022

Cereal Chem

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“…Such conditions are the relatively high temperature of the grain stored inside the metal silo and the relatively low ambient temperature outside. This situation regularly occurs in the autumnwinter period, when the grain has not been cooled yet due to its still high average ambient temperature or the lack of production capacity to carry out such an operation, but the ambient temperature regularly falls below the levels leading to moisture condensation on internal non-contacting with grain surfaces of a metal silo [13].…”

Section: Methodology For Assessing Critical Changes In Boundary Condimentioning

confidence: 99%

Methodology for assessing the grain mass thermal effusivity in a metal silo under the influence of active ventilation

et al. 2020

Self Cite

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The purpose of studying the thermal effusivity of the grain mass in a metal silo is to obtain a dynamic mathematical model of the processes of layered changes in the temperature of the grain mass under the influence of an external factor. Such an external factor is the supply of cooling air through the air distribution grid of the bottom of the silo with the active ventilation of grain in a metal silo. The created mathematical and parametric models allow simulating the moisture transfer process using active air ventilation systems inside metal silos during storage of wheat grain. There have been developed some ways to improve the conditions for ensuring the quality preservation of grain during its long-term storage in a metal silo. It is necessary to load such a silo with grain completely, preferably up to the top, leaving free supergrannial space as small as possible. Another solution is thermal insulation of the surfaces of the silo. The task of ensuring the safety of wheat food grain can be accomplished not only on the basis of existing regulatory rules, but also by taking into account the results of new research. The main method of storage in metal containers, according to the instructions and safety regulations is the storage of grain in a dry and purified state. It is known that not only humidity and purity, but also the temperature of the grain put into storage affect the storage period.

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“…The detectability of FFAs allows us to analyze changes of food quality. There have been many studies involving various grains, such as rice [6,17] and wheat [18], that have investigated the changing regularity of FFA during storage. Some mathematical equations [19,20] were developed to predict the FFA content during storage.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Free Fatty Acids in Stored Paddy Rice Using Multiple-Kernel Support Vector Regression

Wang

Han

et al. 2020

Applied Sciences

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Grain quality changes during the storage period, and an important grain quality indictor is the free fatty acid (FFA) content. Understanding real-time change of FFA content in stored grain is significant for grain storage safety. However, the FFA content requires manual detection with time-consuming and complex procedures. Thus, this paper is dedicated to developing a method to estimate FFA content in stored grain accurately. We proposed a machine learning approach—multiple-kernel support vector regression—to complete this goal, which improved the accuracy and robustness of the FFA estimation. The effectiveness of the proposed approach was validated by the grain storage data collected from northeast China. To show the merits of the proposed method, several prevailing prediction methods, such as single-kernel support vector regression, multiple linear regression, and back propagation neural network, were introduced for comparative purposes, and several quantitative statistical indexes were adopted to evaluate the performance of different models. The results showed that the proposed approach can achieve a high accuracy with mean absolute error of 0.341 mg KOH/100 g, root mean square error of 0.442 mg KOH/100 g, and mean absolute percentage error of 2.026%. Among the four models tested, the multiple-kernel support vector regression model performed best and made the most robust forecasts of FFA content in stored grain.

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Dependence of fat acidity value on wheat grain storage conditions

Cited by 13 publications

References 8 publications

A microchemical analysis of acid values in stored wheat

A microchemical analysis of acid values in stored wheat

Methodology for assessing the grain mass thermal effusivity in a metal silo under the influence of active ventilation

Estimation of Free Fatty Acids in Stored Paddy Rice Using Multiple-Kernel Support Vector Regression

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