Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis

Sun, Jiaying; feng, xiaonuo; Lyu, Chunmao; Zhou, Shuang; Liu, Zixuan

doi:10.1016/j.fshw.2021.11.024

Cited by 37 publications

(18 citation statements)

References 18 publications

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“…To the best of our knowledge, no study has yet identified changes in the lipidome and related metabolic pathways in camellia oil affected by insects. More importantly, unlike previous reports on oil fruit containing only one oilseed, oil tea fruit contains multiple oilseeds (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) in a single fruit, implying that infested and non-infested oilseeds will coexist in the same fruit. However, no previous research has been conducted on the differences in lipid composition of non-infested oilseeds from infested fruit and non-infested fruit.…”

Section: Introductioncontrasting

confidence: 62%

“…Recently, lipidomic has been used in food science for complex lipid analysis, such as quality assessment (9)(10)(11), quality identification (12) and origin traceability (7). In addition, as an emerging technology, lipidomics has been applied to the lipid exploration of various oils, including peanut oil (13,14), hazelnut oil (15,16), and flaxseed oil (17). However, successful application of lipidomic analysis in characterization of lipid profile in edible oil is very limited (17).…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive lipidomics analysis reveals the changes in lipid profile of camellia oil affected by insect damage

Zhang

Shen

et al. 2022

Front. Nutr.

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Information on changes in lipid composition of seed oils under biotic stresses is scare. The camellia weevil, Curculio chinensis (Coleoptera: Curculionidae) as a notorious seed predator of Camellia species, has caused huge economic losses in China. Lipidomics is used in this study to reveal the lipid composition of camellia oil and its changes after insect damage. 278 lipids including glycerolipids (GL) (221), glycerophospholipids (GP) (34), fatty acyls (FA) (13), sphingolipids (SP) (8), prenol lipids (PR) (1) and sterol lipids (ST) (1) were determined in camellia oils. Insect damage had a significant impact on lipids, particularly FA and GL. Ten significantly different lipids [FFA(18:2), FFA(24:6), TG(14:1/18:2/18:2), TG(16:0/23:0/18:2), TG(20:1/24:1/18:2), TG(18:2/24:0/18:2), TG(16:3/18:2/22:5), PI(16:1/18:1), PE(16:0/18:1), PE(18:1/18:2)] were identified as potential biomarkers for distinguishing oil extracted from non-infested oilseeds and oil from infested oilseeds. We also detected four most important metabolic pathways by bioinformatics analysis to explore the mechanisms underlying changes. Our findings may be useful for future camellia oil production and may provide new insight into improving of nutritional quality of camellia oil.

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Section: Introductioncontrasting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

Comprehensive lipidomics analysis reveals the changes in lipid profile of camellia oil affected by insect damage

Zhang

Shen

et al. 2022

Front. Nutr.

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“…A variable importance projection (VIP) score was constructed, in which VIP > 1 represents important distinguishing compounds to further identify the key compounds that are differentially present in larva treated with different irradiation doses [ 36 , 37 ]. The partial least square VIP scores of 23 metabolites are shown in Figure 3 C. Table 2 shows irradiation doses and eight metabolites with significant changes determined using partial least square VIP score and t-test p value, which are n-Hexadecanoic acid, Dodecanoic acid, Octadecanoic acid, Tetradecanoic acid, 1,2,4-Benzenetricarboxylic acid, 1,2-dimethyl ester, Butyric acid, 2,2-dimethyl-, vinyl ester, Phthalic acid, cyclobutyl isobutyl ester, 2-Hexen-1-ol and ( E )-.…”

Section: Resultsmentioning

confidence: 99%

Correlation between Irradiation Treatment and Metabolite Changes in Bactrocera dorsalis (Diptera: Tephritidae) Larvae Using Solid-Phase Microextraction (SPME) Coupled with Gas Chromatography-Mass Spectrometry (GC-MS)

Shan

et al. 2022

Molecules

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The metabolites produced by the larvae of Bactrocera dorsalis (Diptera: Tephritidae) exposed to different doses of irradiation were analyzed using solid phase microextraction (SPME) and gas chromatography-mass spectrometry (GC-MS), and a metabonomic analysis method of irradiated insects based on GC-MS was established. The analysis revealed 67 peaks, of which 23 peaks were identified. The metabolites produced by larvae treated with different irradiation doses were compared by multivariate statistical analysis, and eight differential metabolites were selected. Irradiation seriously influenced the fatty acid metabolic pathway in larvae. Using the R platform combined with the method of multivariate statistical analysis, changes to metabolite production under four irradiation doses given to B. dorsalis larvae were described. Differential metabolites of B. dorsalis larvae carried chemical signatures that indicated irradiation dose, and this method is expected to provide a reference for the detection of irradiated insects.

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“…Meanwhile, some of them were considered to be possible or probable human carcinogens (2)(3)(4)(5)(6). Edible oil, as an indispensable cooking material in people's daily life, played a pivotal role in life (7,8). However, it has been reported that edible oils are more susceptible to PAHs contamination, and the absorption of PAHs contained in oils will increase in the intestinal tract, which can seriously harm human health.…”

Section: Introductionmentioning

confidence: 99%

Rapid Screening of 22 Polycyclic Aromatic Hydrocarbons Residues in Vegetable Oils by Gas Chromatography-Electrostatic Field Orbitrap High Resolution Mass Spectrometry

Meng

Fan²,

Yuan³

et al. 2022

Front. Nutr.

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A method for simultaneous determination of 22 polycyclic aromatic hydrocarbons (PAHs) residues in vegetable oils by gas chromatography-electrostatic field orbitrap high resolution mass spectrometry (Orbitrap GC-MS) was established. The samples were vortexed with acetonitrile, centrifuged at 8,000 r/min for 5 min, and frozen at −70°C for 10 min. The extracts of upper layer were poured out, dried with nitrogen at 40°C, redissolved in dichloromethane, and measured by Orbitrap GC-MS. The matrix interference in vegetable oil could be effectively removed by determining the accurate mass number of target compounds under the full scan mode. Six typical vegetable oil samples (soybean oil, sesame oil, peanut oil, olive oil, rapeseed oil, sunflower oil) were used for method validation. The calibration curve displayed good linearity in the range of 1–100 ng/mL, with correlation coefficients > 0.9950. The limits of detection (LODs) were in the range of 0.10–0.60 μg/kg, and the limits of quantification (LOQs) were in the range of 0.35–2.00 μg/kg. The average spiked recoveries of 22 PAHs in 6 matrices at 5, 50 and 100 μg/kg levels were 76.4–115.4%, and the average relative standard deviations (RSDs) were 1.8–10.8%. The results showed that 22 PAHs were detected in 6 types of 90 edible vegetable oil samples in the Chinese market by this method. Meanwhile, the abundance of light PAHs (LPAHs) was higher than that of heavy PAHs (HPAHs), and its relative contribution of LPAHs to the total PAHs was higher. All levels of BaP conformed to the Chinese requirement of upper limit, 10 μg/kg. However, 13.3 and 11.1% of the samples exceeded the maximum limits of BaP and PAH4 set by EU, 2 and 10 μg/kg, respectively. The total concentrations of 22 PAHs (defined as PAH22) varies greatly among different oil species, and the average PAH22 contents were listed in descending order as follows: peanut oil > sesame oil > olive oil > rapeseed oil > soybean oil > sunflower seed oil. The established method effectively avoided interference from large amounts of lipids and pigments. Therefore, the method is simple, sensitive and suitable for rapid screening and confirmation of PAHs in vegetable oil.

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Effects of different processing methods on the lipid composition of hazelnut oil: A lipidomics analysis

Cited by 37 publications

References 18 publications

Comprehensive lipidomics analysis reveals the changes in lipid profile of camellia oil affected by insect damage

Comprehensive lipidomics analysis reveals the changes in lipid profile of camellia oil affected by insect damage

Correlation between Irradiation Treatment and Metabolite Changes in Bactrocera dorsalis (Diptera: Tephritidae) Larvae Using Solid-Phase Microextraction (SPME) Coupled with Gas Chromatography-Mass Spectrometry (GC-MS)

Rapid Screening of 22 Polycyclic Aromatic Hydrocarbons Residues in Vegetable Oils by Gas Chromatography-Electrostatic Field Orbitrap High Resolution Mass Spectrometry

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