A novel FTIR discrimination based on genomic DNA for species-specific analysis of meat and bone meal

Han, Yahong; Wang, Xinlei; Liu, Ye; Han, Lujia; Yang, Zengling; Liu, Xian

doi:10.1016/j.foodchem.2019.05.088

Cited by 10 publications

(2 citation statements)

References 29 publications

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“…These characteristics, together with the improvements achieved by chemometrics, provide an interesting analytical tool for routine qualitative and quantitative analysis, widely used in many industries during control processes [9]. In fact, FTIR has proven to be a useful and reliable technique in the analysis of a large variety of samples in various industries, including the agri-food sector [10,11].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques

Budziak-Wieczorek,

Mašán,

Rząd

et al. 2023

Molecules

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The FTIR-ATR method coupled with the multivariate analysis of specific spectral areas of samples was developed to characterize two white grape varieties (Sauvignon Blanc and Hibernal) and two blue grape varieties (André and Cabernet Moravia) of wine planted and harvested in the Moravia region, Czech Republic. Principal component analysis and hierarchical cluster analysis were performed using fingerprint regions of FTIR spectra for all wines. The results obtained by principal component analysis in combination with linear discriminant analysis (PCA-LDA) scores yielded clear separation between the four classes of samples and showed very good discrimination between the wine samples, with a 91.7% overall classification rate for the samples. The conducted FTIR spectroscopy studies coupled with chemometrics allowed for the swift analysis of multiple wine components with minimal sample preparation. These methods can be used in research to improve specific properties of these wines, which will undoubtedly enhance the quality of the final wine samples obtained.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques

Budziak-Wieczorek,

Mašán,

Rząd

et al. 2023

Molecules

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“…• Presence of non-compliance related to the process control program as assessed by a government inspector (current and past three inspection results)End-product control program[20,22,[24][25][26][27]29,[31][32][33][34]40,41,[57][58][59][60][61][62][63][65][66][67] • Presence of non-compliance related to the end-product control program as assessed by a government inspector (current and past three inspection results)Import control program[36,38,45,46] • Presence of non-compliance related to the import control program as assessed by a government inspector (current and past three inspection results) • Presence of non-compliance related to the water, ice, and steam program as assessed by a government inspector (current and past three inspection results)…”

mentioning

confidence: 99%

The Development of a Risk Assessment Model for Inedible Rendering Plants in Canada: Identifying and Selecting Feed Safety-Related Factors

Lachapelle,

Comeau,

Quessy

et al. 2024

Animals

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The Canadian Food Inspection Agency (CFIA) is developing an establishment-based risk assessment model to categorize rendering plants that produce livestock feed ingredients (ERA-Renderer model) according to animal and human health risks (i.e., feed safety risks) and help in determining the allocation of inspection resources based on risk. The aim of the present study was to identify and select feed-safety-related factors and assessment criteria for inclusion in the ERA-Renderer model. First, a literature review was performed to identify evidence-based factors that impact the feed safety risk of livestock feed during its rendering processes. Secondly, a refinement process was applied to retain only those that met the inclusion conditions, such as data availability, lack of ambiguity, and measurability. Finally, an expert panel helped in selecting factors and assessment criteria based on their knowledge and experience in the rendering industry. A final list of 32 factors was developed, of which 4 pertained to the inherent risk of a rendering plant, 8 were related to risk mitigation strategies, and 20 referred to the regulatory compliance of a rendering plant. A total of 179 criteria were defined to assess factors based on practices in the Canadian rendering industry. The results of this study will be used in the next step of the model development to estimate the relative risks of the assessment criteria considering their impact on feed safety. Once implemented, the CFIA’s ERA-Renderer model will provide an evidence-based, standardized, and transparent approach to help manage the feed safety risks in Canada’s rendering sector.

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Food Quality and NIR Spectroscopy in the Omics Era

Badaró

Pasquini

Barbin

2021

Comprehensive Foodomics

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A novel FTIR discrimination based on genomic DNA for species-specific analysis of meat and bone meal

Cited by 10 publications

References 29 publications

Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques

Evaluation of the Quality of Selected White and Red Wines Produced from Moravia Region of Czech Republic Using Physicochemical Analysis, FTIR Infrared Spectroscopy and Chemometric Techniques

The Development of a Risk Assessment Model for Inedible Rendering Plants in Canada: Identifying and Selecting Feed Safety-Related Factors

Food Quality and NIR Spectroscopy in the Omics Era

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