Distinguishing tissue origin of bovine gelatin in processed products using LC/MS technique in combination with chemometrics tools

Jannat, Behrooz; Ghorbani, Kazem; Kouchaki, Somaye; Sadeghi, Naficeh; Eslamifarsani, Ehsan; Rabbani, Faride; Beyramysoltan, Samira

doi:10.1016/j.foodchem.2020.126302

Cited by 32 publications

(10 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As an established method, PCA has recently been used as an exploratory approach, for example, in LC-MS-based authenticity studies to distinguish tissue origin of bovine gelatin [ 164 ], for the differentiation of the geographical origin of peppers [ 165 ] and pork [ 166 ]. However, PCA was always used together with another supervised method to identify clear differences.…”

Section: From Non-targeted Data Sets To Marker Compoundsmentioning

confidence: 99%

Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity

Creydt

Fischer

2020

Molecules

View full text Add to dashboard Cite

Experiments based on metabolomics represent powerful approaches to the experimental verification of the integrity of food. In particular, high-resolution non-targeted analyses, which are carried out by means of liquid chromatography-mass spectrometry systems (LC-MS), offer a variety of options. However, an enormous amount of data is recorded, which must be processed in a correspondingly complex manner. The evaluation of LC-MS based non-targeted data is not entirely trivial and a wide variety of strategies have been developed that can be used in this regard. In this paper, an overview of the mandatory steps regarding data acquisition is given first, followed by a presentation of the required preprocessing steps for data evaluation. Then some multivariate analysis methods are discussed, which have proven to be particularly suitable in this context in recent years. The publication closes with information on the identification of marker compounds.

show abstract

Section: From Non-targeted Data Sets To Marker Compoundsmentioning

confidence: 99%

Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity

Creydt

Fischer

2020

Molecules

View full text Add to dashboard Cite

show abstract

“…Due to the diversity of indicators for evaluating fruit quality, independent analysis of one or some related indicators often lacks systems and it is difficult to reflect the overall variation comprehensively and intuitively. Principal component analysis (PCA), as a multivariate statistical method, utilizes the notion of dimensionality reduction to convert multiple indicators into a few composite indicators with slight loss of information (Jannat et al., 2020). Thus, PCA has been generally applied to discriminate against raw and cooked freshwater fish (Chen et al., 2022), evaluate the antioxidant capacity of pomelos (Nie et al., 2019), and investigate the effects of varied fertilization on plants (Jakubus & Bakinowska, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of cultivars diversity and lipid composition properties of Idesia polycarpa var. vestita Diels

Wen

Xiang

Wang

et al. 2022

Journal of Food Science

View full text Add to dashboard Cite

Idesia polycarpa var. vestita Diels is a perennial deciduous tree widely distributed throughout China. Four I. polycarpa fruit of different cultivars with different fruit issues during the growth process were compared, which were on the basis of morphological characteristics and chemical compositions. The influencing factors of oil accumulation in I. polycarpa fruit and the correlation between different components were investigated, and the results revealed a negative correlation between oil content and total sugar (r = −0.930), ash (r = −0.606), and crude fiber (r = −0.952). Except for oil, none of the chemical components changed substantially during the growing phase, and most cultivars showed higher oil content in the pulp portion (14.14-43.99 g/100 g). Linoleic acid was the most abundant fatty acid in I. polycarpa oil (IPO), with values ranging from 52.18% to 66.65% (fruit), 55.44% to 65.15% (pulp), and 68.99% to 78.76% (seed). Principal component analysis revealed that Hubei varieties are more advantageous.Besides, the lipid composition of IPO was identified by ultrahigh-performance liquid chromatography coupled with electrospray ionization Q-Exactive Focus mass spectrometry. The glyceride components of IPO were mostly composed of 22 triacylglycerols, 30 diacylglycerols, and 8 monoacyglycerols. Meanwhile, linoleic acid was mainly distributed in sn-2 and sn-3 positions. K E Y W O R D S chemical properties, fatty acid profile, Idesia polycarpa var. vestita Diels, lipid composition, principal component analysis Practical Application: Morphologic characteristics, chemical compositions, oil fatty acid profiles, and oil correlation factors of I. polycarpa were analyzed. The comprehensive score of oil quality by PCA in Hb fruit was the highest. The glyceride components of I. polycarpa oil were mainly composed of 22 triacylglycerols, 30 diacylglycerols, and eight monoacyglycerols.

show abstract

“…As a result, effective methods are necessary for assuring the meat industry’s proper development, and rapid, comprehensive, accurate, and reliable detection technologies are crucial to achieving this goal. One approach for guaranteeing food authenticity could be metabolomic and lipidomic technology ( Ali et al, 2020b ; El Sheikha et al, 2017 ; Islam et al, 2021 ; Vanany et al, 2020 ) compared to existing methods such as polymerase chain reaction (PCR), which has the limitation of being easily degraded in processed foods so that it has the potential to cause false negatives ( Jannat et al, 2018 ; Jannat et al, 2020 ; Lubis et al, 2016 ). Metabolomic as method with high accuracy, comprehensive analysis of the whole metabolome which refer to the full complement of small molecule, while lipidomic explored area within lipid analytics and more specifically meat adulteration, so this method can used authentication of meat product ( Emwas et al, 2019 ; Trivedi et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review

Harlina¹,

Maritha²,

Musfiroh³

et al. 2022

Food Sci Anim Resour

View full text Add to dashboard Cite

The liquid chromatography mass spectrometry (LC-MS)-based metabolomic and lipidomic methodology has great sensitivity and can describe the fingerprint of metabolites and lipids in pork and beef. This approach is commonly used to identify and characterize small molecules such as metabolites and lipids, in meat products with high accuracy. Since the metabolites and lipids can be used as markers for many properties of a food, they can provide further evidence of the foods authenticity claim. Chromatography coupled to mass spectrometry is used to separate lipids and metabolites from meat samples. The research data usually is compared to lipid and metabolite databases and evaluated using multivariate statistics. LC-MS instruments directly connected to the metabolite and lipid databases software can be used to assess the authenticity of meat products. LC-MS has good selectivity and sensitivity for metabolomic and lipidomic analysis. This review highlighted the combination of metabolomics and lipidomics can be used as a reference for analyzing authentication meat products.

show abstract

Distinguishing tissue origin of bovine gelatin in processed products using LC/MS technique in combination with chemometrics tools

Cited by 32 publications

References 21 publications

Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity

Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity

Evaluation of cultivars diversity and lipid composition properties of Idesia polycarpa var. vestita Diels

Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review

Contact Info

Product

Resources

About