Correlation between camellia seed aliphatic acid composition and hyperspectral reflectance

Liao, Dun-jun; Jiang, Ping; Luo, Yi; Xu, Neng

doi:10.3724/sp.j.1238.2013.00445

Cited by 4 publications

(3 citation statements)

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“…For the polyphenol extraction, a modified version of a previously described method was used [45]. A 0.5 g sample of oil was combined with 5 mL of n-hexane.…”

Section: Quality Parameters and Main Components Of Co Assaymentioning

confidence: 99%

Integrated Analysis of Transcriptome and Metabolome Provides Insight into Camellia oleifera Oil Alleviating Fat Accumulation in High-Fat Caenorhabditis elegans

Liu

Kong

Xiang

et al. 2023

IJMS

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Camellia oil (CO) is a high medicinal and nutritional value edible oil. However, its ability to alleviate fat accumulation in high-fat Caenorhabditis elegans has not been well elucidated. Therefore, this study aimed to investigate the effect of CO on fat accumulation in high-fat C. elegans via transcriptome and metabolome analysis. The results showed that CO significantly reduced fat accumulation in high-fat C. elegans by 10.34% (Oil Red O method) and 11.54% (TG content method), respectively. Furthermore, CO primarily altered the transcription levels of genes involved in longevity regulating pathway. Specifically, CO decreased lipid storage in high-fat C. elegans by inhibiting fat synthesis. In addition, CO supplementation modulated the abundance of metabolic biomarkers related to pyrimidine metabolism and riboflavin metabolism. The integrated transcriptome and metabolome analyses indicated that CO supplementation could alleviate fat accumulation in high-fat C. elegans by regulating retinol metabolism, drug metabolism—cytochrome P450, metabolism of xenobiotics by cytochrome P450, ascorbate and aldarate metabolism, and pentose and glucuronate interconversions. Overall, these findings highlight the potential health benefits of CO that could potentially be used as a functional edible oil.

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“…For the polyphenol extraction, a modified version of a previously described method was used [45]. A 0.5 g sample of oil was combined with 5 mL of n-hexane.…”

Section: Quality Parameters and Main Components Of Co Assaymentioning

confidence: 99%

Integrated Analysis of Transcriptome and Metabolome Provides Insight into Camellia oleifera Oil Alleviating Fat Accumulation in High-Fat Caenorhabditis elegans

Liu

Kong

Xiang

et al. 2023

IJMS

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“…To some extent, the temperature reflects the composting process and the time required to complete the composting (Luo et al 2011). As shown in Fig.…”

Section: Composting Temperaturementioning

confidence: 99%

Study on terpenoid degradation of Pinus massoniana sawdust for mycelium germination and cultivation of edible fungi

Zhang

Ying

2019

BioRes

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The material basis and degradation of the terpenoids were investigated in Pinus massoniana sawdust during the composting process. In order to better utilize P. massoniana sawdust for the culturation of edible fungus, three treatments were designed according to the amount of brown sugar that was added: 4% (A1), 5% (A2), and 6% (A3). The brown sugar was added based on the dry weight of the P. massoniana sawdust. The results showed that the brown sugar addition of 5% yielded the fastest heating rate of composting and the longest temperature duration above 60 °C. The gas chromatography-mass (GC-MS) analysis showed that the amount of brown sugar did not affect the degradation of the terpenoids. The relative terpenoid content decreased from 3.89% to 2.10% and 0.31% after 30 d and 60 d of composting, respectively. Fourier transform infrared (FTIR) analysis indicated that the terpenoids decomposed a lot throughout the composting process. The mycelium cultivation demonstrated that the P. massoniana sawdust treated with 30 d of composting promoted the growth of edible fungi.

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“…At present, some scholars have used spectral technology to study the related aspects of camellia seed, such as using hyperspectral technology to identify adulterated camellia seed oils 10,11) , predicting the oxidation degree of camellia seed oil 12) , establishing spectral model of active components of camellia seed oil 13) , and quickly identifying pressed and extracted camellia seed oils 14) . The correlation between the composition of camellia seed kernel and the spectral 15) , determination model of camellia seed oil content were studied 16,17) . These studies mainly focus on the authenticity identification and quality inspection of camellia seed oil, which is to detect the camellia seed kernel and processed camellia seed oil after removing the shell, not directly to detect the camellia oil seed fruit with the shell.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive Detection of Fatty Acid Content of Camellia Seed Based on Hyperspectral

et al. 2023

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jjocs costly. At the same time, the residual chemical detection reagents will also pollute the ecological environment. Therefore, it is of great significance to find an efficient and convenient nondestructive detection method for fatty acid content of camellia seed. Currently, hyperspectral technology has been widely used in food quality detection 3) , food safety detection 4,5) , fruit damage and internal components detection 6) , and vegetable freshness detection 7) . Using various spectral equipment to detect food related components and contents has the advantages of high efficiency and convenience, and has been widely used in the field of food detection. For example, Galtier et al. 8) established qualitative models of different producing areas of French virgin olive oil and quantitative models of various fatty Abstract: As a unique traditional vegetable oil in China, camellia seed oil has very high edible value. Camellia seed kernel is mainly composed of fatty acids, which not only determines the oil yield of camellia seed, but also exert an important impact on the storage performance of camellia seed. In order to quickly and accurately determine the fatty acid content of camellia seed, this paper took camellia seed as the research object, used hyperspectral technology to determine the fatty acid content of camellia seed, and establishes a spectral model. 8 pretreatment methods, such as Savitzky-Golay smoothing, normalization, baseline correction, multivariate scattering correction, standard normal variable transformation, detrending algorithm, first derivative and second derivative, were adopted in this paper. The spectral prediction model of fatty acid content in camellia seed was established by combining 4 modeling methods: principal components regression (PCR), partial least square regression (PLSR), back propagation neural network (BP), radial basis function neural network (RBF). The optimal prediction model was selected by comparing the coefficient of determination (R 2 ) and root mean square error (RMSE) of various models. The results showed that the spectral sensitive bands with high correlation coefficients (r) were 410-420 nm, 450-460 nm, 490-510 nm, 545-580 nm, 845-870 nm and 905-925 nm, respectively. The r obtained by MSC pretreatment of spectral data was the largest. The data obtained by 8 different pretreatment methods combined with RBF neural network model was the best, in which the average value of coefficient of determination (R C 2 ) in the calibration set was 0.8654, and the root mean square error of calibration (RMSEC) was 0.0777; the average value of coefficient of determination (R P 2 ) and root mean square error of prediction (RMSEP) in the prediction set model were 0.8437 and 0.0827, respectively. It could be seen that the best accuracy could be achieved by MSC pretreatment combined with RBF neural network modeling. This paper can provide reference for rapid nondestructive detection of fatty acid content in camellia seed by hyperspectral technology.

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Correlation between camellia seed aliphatic acid composition and hyperspectral reflectance

Cited by 4 publications

References 0 publications

Integrated Analysis of Transcriptome and Metabolome Provides Insight into Camellia oleifera Oil Alleviating Fat Accumulation in High-Fat Caenorhabditis elegans

Integrated Analysis of Transcriptome and Metabolome Provides Insight into Camellia oleifera Oil Alleviating Fat Accumulation in High-Fat Caenorhabditis elegans

Study on terpenoid degradation of Pinus massoniana sawdust for mycelium germination and cultivation of edible fungi

Non-destructive Detection of Fatty Acid Content of Camellia Seed Based on Hyperspectral

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