Spectral library validation to identify ingredients of compound feedingstuffs by near infrared reflectance microscopy

Fernández-Ibáñez, V.; Fearn, Tom; Soldado, A.; Roza-Delgado, B. de la

doi:10.1016/j.talanta.2009.06.025

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…[9][10][11][12][13][14][15] For feed products, there are reported investigations on the feasibility of using NIRM to detect, indentify and quantify processed animal by-products. [16][17][18][19][20] With NIRM imaging, hundreds or thousands of spectra (including tens or hundreds of variables) need to be collected for each sample. This compares to an average spectrum with classical spectroscopic instrumentation.…”

Section: Introductionmentioning

confidence: 99%

Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Yang

Wang

Han

et al. 2014

J. Innov. Opt. Health Sci.

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Near infrared microscopy imaging o®ers the opportunity to explore not only what kinds of chemical species are present at micro-scale level but also where the chemical species would be present. By revealing the spectral and spatial information, the technique can identify and localize any interested component. This study investigates the feasibility of using Near infrared microscopy imaging to detect melamine in soybean meal. The results showed that 6805 cm À1 is very sensitive for melamine but not for soybean meal, so can be used for univariate analysis. Single wavelength image and peak integration image at 6805 cm À1 are simple and e®ective methods to detect the melamine in soybean meal. Furthermore, Principal Component Analysis is applied to detect the melamine in soybean meal.

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Section: Introductionmentioning

confidence: 99%

Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Yang

Wang

Han

et al. 2014

J. Innov. Opt. Health Sci.

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“…NIRM was first used in feed analysis to detect forbidden animal protein in compound 18 19 . Many studies have demonstrated the value of NIRM for producing high-quality spectra from small particles (<500 μm) 20 21 22 23 24 25 26 27 28 . Because NIRM results can be shared easily in networks of laboratories 28 , the technique has been validated at European level 27 .…”

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confidence: 99%

Determination by near infrared microscopy of the nitrogen and carbon content of tomato (Solanum lycopersicum L.) leaf powder

Lequeue

Baeten

2016

Sci Rep

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Near infrared microscopy (NIRM) has been developed as a rapid technique to predict the chemical composition of foods, reduce analytical costs and time and ease sample preparation. In this study, NIRM has been evaluated as an alternative to classical chemical analysis to determine the nitrogen and carbon content of small samples of tomato (Solanum lycopersicum L.) leaf powder. Near infrared spectra were obtained by NIRM for independent leaf samples collected on 216 plants grown under six different levels of nitrogen. From these, 30 calibration and 30 validation samples covering the spectral range of the whole set were selected and their nitrogen and carbon contents were determined by a reference method. The calibration model obtained for nitrogen content proved to be excellent, with a coefficient of determination in calibration (R2c) higher than 0.9 and a ratio of performance to deviation (RPDc) higher than 3. Statistical indicators of prediction using the validation set were also very high (R2p values > 0.90). However, the calibration model obtained for carbon content was much less satisfactory (R2c < 0.50). NIRM appears as a promising and suitable tool for a rapid, non-destructive and reliable determination of nitrogen content of tiny samples of tomato leaf powder.

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“…Feces include feed residues, metabolic byproducts, mucus secreted by digestive glands, epithelial cells shed from gastrointestinal mucosa, and metabolic waste ( Fernández-Ibáñez et al, 2009 ; Lyons et al, 2016 ). The morphology of fecal patterns can somewhat indicate the gastrointestinal health of livestock.…”

Section: Introductionmentioning

confidence: 99%

Relationship between sheep feces scores and gastrointestinal microorganisms and their effects on growth traits and blood indicators

Yang,

Wang,

Cheng

et al. 2024

Front. Microbiol.

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Fecal scores are crucial for assessing the digestive and gastrointestinal status of animals. The Bristol fecal scoring system is a commonly used method for the subjective evaluation of host feces, there is limited research on fecal scoring standards for fattening Hu sheep. In this study, Hu sheep were collected for rumen, rectum, and colon contents for 16S rDNA sequencing. 514 Hu sheep feces were scored based on the Bristol fecal scoring system, and production performance at each stage was measured. Finally, we developed the scoring standard of the manure of Hu sheep in the fattening period (a total of five grades). The result shows that moisture content significantly increased with higher grades (p < 0.05). We analyzed the relationship between fecal scores and production traits, blood indices, muscle nutrients, and digestive tract microorganisms. The growth traits (body weight, body height, body length, average daily gain (ADG), and average daily feed intake (ADFI) during 80–180 days), body composition traits of the F3 group, and the carcass traits were found to be significantly higher (p < 0.05) than those of the F1 and F2 groups. There was no significant difference in gastrointestinal microflora diversity among all groups (p > 0.05). Significant differences were observed in Aspartate aminotransferase, Glucose, Total bilirubin, and Red Blood Cell Count between groups (p < 0.05). The mutton moisture content in group F4 was significantly higher than in the other groups, and the protein content was also the lowest (p < 0.05). The results of the correlation analysis demonstrated that Actinobacteria, Peptostreptococcaceae, Acidaminococcales, Gammaproteobacteria, and Proteobacteria were the significant bacteria affecting fecal scores. In addition, Muribaculaceae and Oscillospiraceae were identified as the noteworthy flora affecting growth performance and immunity. This study highlights the differences in production traits and blood indicators between fecal assessment groups and the complex relationship between intestinal microbiota and fecal characteristics in Hu sheep, suggesting potential impacts on animal performance and health, which suggest strategies for improved management.

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Spectral library validation to identify ingredients of compound feedingstuffs by near infrared reflectance microscopy

Cited by 7 publications

References 10 publications

Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Rapid screening and visual tracing of melamine in soybean meal by NIR microscopy imaging

Determination by near infrared microscopy of the nitrogen and carbon content of tomato (Solanum lycopersicum L.) leaf powder

Relationship between sheep feces scores and gastrointestinal microorganisms and their effects on growth traits and blood indicators

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