Investigation of phenotypic, genetic and genomic background of Milk spectra in Sarda dairy sheep

Aim of this study was to analyse the genetic background of milk Fourier transform infrared (FTIR) spectra in dairy sheep. Individual milk FTIR spectra, with 1060 wavenumbers each, were available for 793 adult Sarda breed ewes genotyped at 45,813 SNP. The absorbance values of each wavenumber was analysed using a linear mixed model that included dim class, parity and lambing month as fixed effects and flock-test date and animal as random effects. The model was applied to estimate variance components and heritability and to perform a genome-wide association study for each wavenumber. Average h2 of wavenumbers absorbance was 0.13 ± 0.08, with the largest values observed in the regions associated with the characteristic bonds of carbonylic and methylenic groups of milk fat (h2 = 0.57 at 1724-1728 cm-1; and h2 = 0.34 at 2811-2834 cm-1, respectively). The absorbance values of wavenumbers were moderately correlated with the estimated heritabilities. After the Bonferroni correction, a total of nine markers were found to be significantly associated with 32 different wavenumbers. Of particular interest was the SNP s63269.1, mapped on chromosome 2, that was found to be associated with 27 wavenumbers. Genes previously found to be related to traits of interest (e.g. disease resistance, milk yield and quality, cheese firmness) are located close to the significant SNP. As expected, the heritability estimated for the absorbance of each wavenumbers seems to be associated with the related milk components.

The use of milk Fourier-transform infrared spectra for predicting cheesemaking traits in Grana Padano Protected Designation of Origin cheese

The prediction of the cheese yield (%CY) traits for curd, solids, and retained water and the amount of fat, protein, solids, and energy recovered from the milk into the curd (%REC) by Bayesian models, using Fourier-transform infrared spectroscopy (FTIR), can be of significant economic interest to the dairy industry and can contribute to the improvement of the cheese process efficiency. The yields give a quantitative measure of the ratio between weights of the input and output of the process, whereas the nutrient recovery allows to assess the quantitative transfer of a component from milk to cheese (expressed in % of the initial weight). The aims of this study were: (1) to investigate the feasibility of using bulk milk spectra to predict %CY and %REC traits, and (2) to quantify the effect of the dairy industry and the contribution of single-spectrum wavelengths on the prediction accuracy of these traits using vat milk samples destined to the production of Grana Padano Protected Designation of Origin cheese. Information from 72 cheesemaking days (in total, 216 vats) from 3 dairy industries were collected. For each vat, the milk was weighed and analyzed for composition (total solids [TS], lactose, protein, and fat). After 48 h from cheesemaking, each cheese was weighed, and the resulting whey was sampled for composition as well (TS, lactose, protein, and fat). Two spectra from each milk sample were collected in the range between 5,011 and 925 cm-1 and averaged before the data analysis. The calibration models were developed via a Bayesian approach by using the BGLR (Bayesian Generalized Linear Regression) package of R software. The performance of the models was assessed by the coefficient of determination (R2VAL) and the root mean squared error (RMSEVAL) of validation. Random cross-validation (CVL) was applied [80% calibration and 20% validation set] with 10 replicates. Then, a stratified cross-validation (SCV) was performed to assess the effect of the dairy industry on prediction accuracy. The study was repeated using a selection of informative wavelengths to assess the necessity of using whole spectra to optimize prediction accuracy. Results showed the feasibility of using FTIR spectra and Bayesian models to predict cheesemaking traits. The R2VAL values obtained with the CVL procedure were promising in particular for the %CY and %REC for protein, ranging from 0.44 to 0.66 with very low RMSEVAL (from 0.16 to 0.53). Prediction accuracy obtained with the SCV was strongly influenced by the dairy factory industry. The general low values gained with the SCV do not permit a practical application of this approach, but they highlight the importance of building calibration models with a dataset covering the largest possible sample variability. This study also demonstrated that the use of the full FTIR spectra may be redundant for the prediction of the cheesemaking traits and that a specific selection of the most informative wavelengths led to improved prediction accuracy. This could lead to the development of dedicated spectrometers using selected wavelengths with built-in calibrations for the online prediction of these innovative traits.

Novel prediction models for hyperketonemia using bovine milk Fourier-transform infrared spectroscopy

Metabolic diseases driven by negative energy balance in dairy cattle contribute to reduced milk production, increased disease incidence, culling, and death. Cow side tests for negative energy balance markers are available but are labor-intensive. Milk sample analysis using Fourier transform infrared spectroscopy (FTIR) allows for sampling numerous cows simultaneously. FTIR prediction models have moderate accuracy for hyperketonemia diagnosis (beta-hydroxybutyrate (BHB) ≥ 1.2 mmol/L). Most research using FTIR has focused on homogenous datasets and conventional prediction models, including partial least squares, linear discriminant analysis, and ElasticNet. Our objective was to evaluate more diverse modeling options, such as deep learning, gradient boosting machine models, and model ensembles for hyperketonemia classification. We compiled a sizable, heterogeneous dataset including milk FTIR and concurrent blood samples. Blood samples were tested for blood BHB, and wavenumber data was obtained from milk FTIR analysis. Using this dataset, we trained conventional prediction models and other options listed above. We demonstrate prediction model performance is similar for convolutional neural networks and ensemble models to simpler algorithm options. Results obtained from this study indicate that deep learning and model ensembles are potential algorithm options for predicting hyperketonemia in dairy cattle. Additionally, our results indicate hyperketonemia prediction models can be developed using heterogeneous datasets.

Prediction of Lignin Content in Ruminant Diets and Fecal Samples Using Rapid Analytical Techniques

The measurement of lignin content in ruminant diet and fecal samples is important for digestibility studies, but it is typically time-consuming and costly. The work reported involves correlation of traditional wet chemistry data with those from three rapid instrumental techniques, Fourier transform infrared spectroscopy (FTIR), conventional thermogravimteric analysis (TGA), and high-resolution TGA (MaxRes TGA) to predict the lignin content of diets and feces from digestibility trials. Calibration and performance data indicate that the FTIR model is acceptable for screening, while the conventional and MaxRes TGA predictions are high accuracy for quantitative analysis. Cross validation and model performance data reveal that MaxRes TGA provides the best-performing predictive model. This work shows that MaxRes TGA can accurately predict lignin content in ruminant diet and fecal samples with distinct advantages over traditional wet chemistry: namely, the requirement of small sample size, ease of sample preparation, speed of analysis, and high sample throughput at considerably lower cost.

Heritability of methane emissions from dairy cows over a lactation measured on commercial farms

Methane emission is currently an important trait in studies on ruminants due to its environmental and economic impact. Recent studies were based on short-time measurements on individual cows. As methane emission is a longitudinal trait, it is important to investigate its changes over a full lactation. In this study, we aimed to estimate the heritability of the estimated methane emissions from dairy cows using Fourier-transform infrared spectroscopy during milking in an automated milking system by implementing the random regression method. The methane measurements were taken on 485 Polish Holstein-Friesian cows at 2 commercial farms located in western Poland. The overall daily estimated methane emission was 279 g/d. Genetic variance fluctuated over the course of lactation around the average level of 1,509 (g/d), with the highest level, 1,866 (g/d), at the end of the lactation. The permanent environment variance values started at 2,865 (g/d) and then dropped to around 846 (g/d) at 100 d in milk (DIM) to reach the level of 2,444 (g/d) at the end of lactation. The residual variance was estimated at 2,620 (g/d). The average repeatability was 0.25. The heritability level fluctuated over the course of lactation, starting at 0.23 (SE 0.12) and then increasing to its maximum value of 0.3 (SE 0.08) at 212 DIM and ending at the level of 0.27 (SE 0.12). Average heritability was 0.27 (average SE 0.09). We have shown that estimated methane emission is a heritable trait and that the heritability level changes over the course of lactation. The observed changes and low genetic correlations between distant DIM suggest that it may be important to consider the period in which methane phenotypes are collected.

Technical note: Characterization of lipid constitution in Fourier transform infrared spectra and spectroscopic discrimination of animal-derived feedstuffs from different species

The objective of the current work was to assess the capability of Fourier transform infrared (FT-IR) spectroscopy in combination with chemometric methods to discriminate animal-derived feedstuffs from different origins based on the lipid characteristics. A total of 82 lipid samples extracted from animal-derived feedstuffs, comprising porcine, poultry, bovine, ovine, and fish samples, were investigated by gas chromatography and FT-IR. The relationship between the lipid constitutions and the responding FT-IR spectral characteristics were explored. Results indicated that high correlations ( > 0.900) were found between the contents of MUFA and PUFA and FT-IR spectral data. In addition, the peak intensity at about 1,116 and 1,098 cm-1 showed a significant difference ( < 0.05) between ruminant and nonruminant animals; the change of peak ratio (1,116:1,098) was proved consistent with the degree of unsaturation of lipid from different animal species. Successful discrimination was further achieved among porcine, poultry, bovine, and ovine meat and bone meal (MBM) and fishmeal based on lipid characteristics by applying the FT-IR spectra coupled with chemometrics, for which the values of sensitivity and specificity were close to 1 and classification error were almost equal to 0.

Heat-shock protein 70 modulates apoptosis signal-regulating kinase 1 in stressed hepatocytes of Mugil cephalus

Oxidative stress causes damage at the cellular level and activates a number of signaling pathways. Heat-shock proteins (HSPs) play an important role in repair and protective mechanisms under cell response to stress conditions. HSP70 has been shown to act as an inhibitor of apoptosis. Apoptosis signal-regulating kinase-1 (ASK1) activity is regulated at multiple levels, one of which is through inhibition by cytosolic chaperons HSP70. The current study was aimed to investigate the alteration in signaling molecules that allow the fish to survive under stressed natural field conditions. The study also investigates the variation in biomolecular composition of hepatocytes by using Fourier transform infrared spectroscopy. The impact of stress on hepatocytes was assessed by measuring the level of lipid peroxides (LPO), catalase activity (CAT) and assessing the changes in hepatocytes of Mugil cephalus inhabiting Kovalam and Ennore estuaries. The expression of HSP70 and ASK1 were analyzed by immunoblot analysis and ELISA, respectively. The spectral analysis showed variations in biomolecular composition of hepatocytes at a wave number region of 4,000-400 cm(-1). There was significant decrease of CAT activity (p < 0.01) (25 %) with significant increase of LPO (p < 0.001) (35 %) and HSP70 (p < 0.001) and insignificant increase of ASK1 (p < 0.05) (16 %) in fish hepatocytes inhabiting Ennore estuary than Kovalam estuary. In conclusion, the present study suggests that the survival of fish in the Ennore estuary under stressed condition may be due to the upregulation of HSP70 that mediates the altered signal pathway which promotes cellular resistance against apoptosis.

[Corynebacterium ulcerans infection in roe deer (Capreolus capreolus)]

This is the first report of a Corynebacterium (C) ulcerans-infection in European roe deer (Capreolus capreolus). The bacterium was isolated from a grapefruit sized abscess of an animal that had been shot. In addition to biochemical tests, the isolate was identified by Fourier transform infrared spectroscopy (FT-IR) and partial sequencing of the rpoB gene. The isolated bacteria showed phospholipase D activity that could be demonstrated by reverse CAMP-test. A tox-gene could be detected by PCR but the Elek-test specific for diphtheria toxin failed.The isolate was compared to two C. ulcerans-strains isolated from wild boar (Sus scrofa) from the state of Baden-Wuerttemberg described recently.

[Cereulide forming presumptive Bacillus cereus strains from food--differentiating analyses using cultural methods, LC-MS/MS, PCR, and infrared spectroscopy in consideration of thermotolerant isolates]

Pathogenic Bacillus cereus (B. cereus) cause two types of foodborne diseases: the diarrhoeal type and, after production of a heat stable toxin called cereulide, an emetic type. The identification of B. cereus in official food monitoring has been traditionally performed using the cultural procedure as described in method 00.00-25 according to section 64 of the German Food and Feed Law (LFGB). Strains isolated by this method are called "presumptive B. cereus" a collective name for B. cereus sensu strictu, B. thuringiensis and closely related Bacilli. Some potentially pathogenic thermotolerant isolates ("B. cytotoxicus") are not covered by this method. In this work Fourier-Transform-infrared spectroscopy (FT-IR) in combination with artificial neural network based data analysis was tested and verified for the further differentiation of "presumptive B. cereus" isolates and closely related Bacilli. For this purpose 122 Bacillus strains were, in addition to the section 64 LFGB method, assayed for formation of parasporal crystals, thermotolerant growth, PCR and LC-MS/MS. Based on this data a further FT-IR-method was developed for the differentiation of emetic B. cereus. Exemplarily, these methods were applied in a B. cereus related foodborne outbreak. In addition, the obtained FT-IR-spectra visualize the chain of infection.

Use of Fourier-transform infrared spectroscopy for the diagnosis of failure of transfer of passive immunity and measurement of immunoglobulin concentrations in horses

BACKGROUND

The economic, accurate, and rapid screening of foals for failure of transfer of passive immunity (FPT) is essential to ensure timely intervention.

HYPOTHESIS

Infrared (IR) spectroscopy of foal sera and pattern recognition may be used to diagnose FPT and quantify serum IgG.

SAMPLES

Sera from 194 foals (24-72 hours) with serum immunoglobulin G (IgG) concentrations determined previously by radial immunodiffusion assay (RID) were used.

METHODS

IR spectra were recorded for the serum samples, and the data were randomly divided into training and independent test sets, each containing both FPT-positive (IgG <400 mg/dL) and non-FPT samples. A genetic optimal region selection algorithm and linear discriminant analysis were used to partition the training spectra, and the resulting classifier was then validated by comparing the IR-predicted FPT status for each of the test samples to that provided by the RID IgG assay. A quantitative IR-based assay for IgG was developed using partial least squares (PLS) and validated by testing its ability to predict IgG concentrations.

RESULTS

Specificity, sensitivity, and accuracy for the combined data were 92.5, 96.8, and 95.9%, respectively. Corresponding positive (88.1%) and negative predictive (98.0%) values determined a success rate of 95-97% as compared to RID-based IgG concentrations. The IR-based quantitative assay yielded correlation coefficients for IR spectroscopy versus RID-based IgG concentrations of 0.90 and 0.86 for the training and test sets, respectively.

CONCLUSIONS AND CLINICAL IMPORTANCE

The overall performance of the IR-based test was similar to that of the colorimetric assay and was superior and more economic than other available tests.

Analytical applications of Fourier transform-infrared (FT-IR) spectroscopy in microbiology and prion research

A genuine biophysical method, Fourier transform-infrared (FT-IR) spectroscopy has become a versatile research tool in biochemistry and biomedicine. Topical applications in microbiology and prion research are impressive illustrations of the vigorous evolution of the technique. FT-IR spectroscopy has established itself as a powerful method for the rapid differentiation and identification of microorganisms, thereby contributing to both clinical medicine and the prevention of bioterrorism. It has also led to considerable progress in various other fields of basic research, not least in prion sciences. In this field, FT-IR spectroscopy has been increasingly applied as a tool for elucidating structural features of the pathological prion protein, and also to study the molecular changes induced by prions in neuronal tissue and blood. This article sets out to give a review of current examples of the analytical potential of FT-IR spectroscopy in microbiology and prion research.

Screening for Subclinical Ketosis in Dairy Cattle by Fourier Transform Infrared Spectrometry

Subclinical ketosis is a metabolic disorder in high-producing dairy cattle that can be detected by ketone bodies in milk: acetone (Ac), acetoacetate (AcAc), and beta-hydroxybutyrate (BHBA). Fourier transform infrared (FTIR) spectrometry is to a growing extent used for determination of milk constituents in milk recording, but as yet there is no calibration for ketone bodies available. The objective of this study was therefore to build a calibration for the MilkoScan FT6000 (FOSS Analytical A/S, Hillerød, Denmark) for Ac, AcAc, and BHBA and to evaluate the FTIR predictions for detection of subclinical ketosis. From 217 herds, 1,080 milk samples were taken from fresh multiparous dairy cows. The Ac, AcAc, and BHBA concentrations were determined by chemical methods using segmented flow analysis. Because of its low concentration, AcAc seemed to be hardly detectable and was therefore not considered further. The correlation between the chemical method results of Ac and BHBA was 0.82, indicating that both ketone bodies were elevated in milk during subclinical ketosis. In wk 1 postpartum, however, most samples with a high Ac concentration did not have a high BHBA concentration, whereas after wk 5 postpartum most samples with a high BHBA concentration did not have a high Ac concentration. For Ac and BHBA, the correlation coefficients between the FTIR predictions and the chemical results were around 0.80 with standard error of cross validation values of 0.184 and 0.064 mM for Ac and BHBA, respectively. Using thresholds of 0.15 mM for Ac and 0.10 mM for BHBA, high values for Ac or BHBA were detected with a sensitivity of 69 to 70%, a specificity of 95%, with 25 to 27% false positives and 6 to 7% false negatives. It is argued that FTIR predictions for Ac and BHBA are valuable for screening cows on subclinical ketosis, especially when used in combination with other indicators, and can serve in the evaluation of the herd health status with respect to subclinical ketosis.

An emerging method for rapid characterization of feed structures and feed component matrix at a cellular leveland relation to feed quality and nutritive value

Feed quality, feed characteristics, nutrient utilization and digestive behaviour are closely related to: (i) total feed composition, (ii) feed intrinsic structures, and (iii) biological component matrix (such as protein to starch matrix, protein to carbohydrate matrix). Conventional "wet" chemical analysis can determine total chemical composition, but fails to detect the feed intrinsic structures and biological component matrix due to destruction of feed samples during the processing for chemical analysis and the "wet" chemical analysis cannot link structural information to chemical information within intact feed tissue. Recently, advanced synchrotron-based Fourier transform infrared (FTIR) microspectroscopy has been developed as a non-destructive and non-invasive structural-chemical analytical technique. This technique can link chemical information to structural information of biological samples within intact tissue within cellular dimensions. It can provide four kinds of information simultaneously: tissue composition, tissue structure, tissue chemistry and tissue environment. However, this novel technique has been found mainly for medical science research, extremely rare for feed science and nutrition research. The objective of this review article was to illustrate synchrotron-based FTIR microspectroscopy as a novel research tool for rapid characterization of feed structures at a cellular level and for detection of chemical features and molecular chemical make-up of feed biological component matrix and nutrient interaction. The emphasis of this article was to show that feed structural-chemical features at a cellular level are closely related to feed characteristics, feed quality and nutritive value in animals. The synchrotron-based technology will provide us with a greater understanding of the plant-animal interface.

[Prevalence of Campylobacter spp. in poultry meat and raw milk using PCR, conventional cultural methods and Fourier transform infrared spectroscopy]

The identification of thermotolerant campylobacters in official food control in the state of Baden-Wuerttemberg has been traditionally performed using the cultural procedure as described in the ISO-Norm 10272:1995. Analysis thus took 5-6 days to complete. Additionally diagnostic problems caused by the accompanying flora as well as the resistance to nalidixic acid occured. Within the scope of this study these problems could be solved by introducing a filtration step for the reduction of the accompanying flora and by performing the indoxyl acetate-hydrolysis-test in addition to the antibiotic-resistance-test. Besides various PCR protocols for the identification of thermotolerant campylobacters from food were established as an alternative to the cultural procedure, providing reliable results within two days. Furthermore, infrared spectroscopy was tested for the identification of Campylobacter isolates. Using this technique and with the help of a suitable data base, bacterial pure cultures can be differentiated within 2 hours. Among others 356 samples of raw poultry meat were tested with the newly established procedures as well as with the classical cultural method, showing that 32% of the samples were Campylobacter spp. positive. 37% of these isolates were resistant against nalidixic acid. This indicates that the development of resistances in Campylobacter spp. in Germany follows the same trend described for other European countries.

17Beta-estradiol induced compositional, structural and functional changes in rainbow trout liver, revealed by FT-IR spectroscopy: a comparative study with nonylphenol

Steroidal hormones produced by humans and animals are constantly being excreted into the environment. It has been demonstrated that sewage effluent discharged to surface water contains natural estrogens and synthetic estrogenic chemicals. As estrogen levels continuously increase in the aquatic environment, it is very important to have a detailed understanding of estrogens' effects on fish. In the present study, juvenile rainbow trout (Oncorhynchus mykiss) were exposed to 17beta-estradiol (E2) for 3 weeks and the effects of E2 on rainbow trout livers were investigated at the molecular level using Fourier transform infrared spectroscopy. The results revealed that E2 induced significant alterations in the liver tissues. A decrease in glycogen levels and protein concentration, and an increase in both the population of hepatic lipids, especially triglycerides, as well as the relative content of nucleic acids was observed in the E2 treated liver. In addition, a decrease in the membrane fluidity and an increase in lipid order were found in the cells of treated samples. In order to compare the effect of E2 with that of NP at molecular level, the fish were also treated with an estrogenic compound, nonylphenol (NP). The NP-treated fish liver spectra were found to be quite similar to those of E2-treated fish confirming that NP mimics the effect of E2 in immature rainbow trout.

Fourier transform infrared microspectroscopic investigation of the organic and mineral constituents of peritubular dentin: a horse study

Peritubular dentin (PTD) is a relatively dense mineralized tissue surrounding tooth dentin tubules, whose composition and mode of formation are still unclear. Fourier transform infrared microspectroscopic studies of the organic and mineral components of the highly developed horse PTD indicate that the peritubular matrix is less abundant than the intertubular matrix but is also mainly composed of collagen, which is more hydrated. These data suggest that most of the crystals are located outside the collagen fibrils and probably not associated with protein components. The crystals in PTD have nearly the same crystallinity as those in intertubular spaces, showing comparable amounts of carbonate ions, although some PO4 groups have different nonapatitic environments. Horse PTD composition is very similar to that of ITD, with collagen as the main protein component and carbonated apatite as the mineral fraction but the different proportions of these constituents and the greater water content in PTD suggest a different organization.

Technical note: fourier transform infrared (FTIR) spectroscopy as an optical nose for predicting odor sensation

Quantifying odor is important for objectively assessing the impact of animal production systems on surrounding areas. A possible method that has received little attention is Fourier transform (mid) infrared spectroscopy (FTIR). Gases that contribute to odor have unique infrared spectra, and the advantage of FTIR over electronic nose technology or gas chromatography is that theoretically all these gases can be analyzed instantaneously. To determine the feasibility of FTIR for predicting odor, 71 air samples analyzed by olfactometry were scanned in a spectrometer using an 84-m path-length gas cell. Scans were obtained over a period of about 1 min and from 4,000 to 740 cm(-1) with a resolution of 0.5 cm(-1). Calibrations for predicting odor were developed using partial least squares regression with full cross-validation. Air samples were obtained from experiments with pigs fed diets formulated to alter odor emission or from stored manure. Odor threshold dilution ratios averaged 676+/-491 units, with a range from 120 to 2,161. Using these samples, a prediction error for odor sensation of 344 units (R2 = 0.51) was obtained. Log transformation of the odor data improved the R2 to 0.61. Based on the olfactometry data, it is estimated that the measurement error of olfactometry is 250 units, which limits the R2 of any method to approximately 0.74. Thus, this calibration is very encouraging. In conclusion, FTIR shows promise as a practical means for objectively assessing swine odor.

Near- versus mid-infrared diffuse reflectance spectroscopy for determination of minerals in dried poultry manure

The objective of this study was to determine if accurate calibrations for mineral content in dried poultry manures could be developed using near- or mid-infrared spectra. Samples (n = 124) were obtained from a commercial testing laboratory along with conventionally determined values for Ca, Cu, K, Mg, Mn, P, S, and Zn. Samples were blended in a food blender, dried at 60 C, ground to 20 mesh, and scanned in the near-infrared (rotating sample cup) on a scanning monochromator. Samples were also scanned in the mid-infrared on a Fourier transform spectrometer using a custom-made sample transport. Results showed that calibrations based on nearor mid-infrared spectra were not satisfactory for the accurate determination of Ca, Cu, K, Mg, Mn, P, S, or Zn in dried poultry manures. At best, most of the calibrations would be suitable for only gross estimates, although the mid-infrared calibration for P might be suitable for some needs in which only a limited degree of accuracy was needed. Either spectral range could be used to separate dried poultry manure samples into those containing less than 3% and greater than 8% Ca but not to accurately differentiate samples within those two groupings. Finally, although the mid-infrared calibrations were the more accurate for five of the eight minerals studied, the differences between the two sets of calibrations were so varied that it would be difficult to say that one region is better for mineral content measurement.

Secondary structure of bovine alphaS2-casein: theoretical and experimental approaches

Circular dichroism and Fourier transform infrared spectroscopy of bovine alphaS2-casein both report a 24 to 32% content of alpha-helix. A consensus of sequence based predictions for alpha-helix suggests a Lys77-Gln91 helix within the sequence (Ser61-Arg125). This motif is repeated at (Ser143-Leu207), and this region contains a longer Thr145-Leu177 predicted alpha-helix. A short, seven-member alpha-helix may also organize the N-terminal peptide that precedes the first phosphoserine [-Srp-]3 cluster. As was found for other caseins studied by these spectroscopic methods, a high degree of extended beta-sheet (approximately 30%) and turns (25 to 30%) are predicted for alphaS2-casein.

Impact of CO2 addition to milk on selected analytical testing methods

The addition of CO2 to raw milk and dairy products controls the growth of psychrotrophic bacteria at refrigeration temperatures. The objective of this study was to determine the effects of dissolved CO2 in milk on the performance of four important routine testing methods: antibiotic residue test, freezing point test, infrared milk component analysis, and alkaline phosphatase test. Raw or pasteurized whole milk was carbonated at <4 degrees C to contain approximately 0 (control), 200, 400, 600, and 1000 ppm of CO2. The addition of CO2 to raw milk up to 1000 ppm had no effect on the performance of the three antibiotic (beta-lactams) residue tests: IDEXX SNAP, Charm II Sequential Tablet, and Delvo-P Ampule. Milk freezing point decreased linearly with increasing concentration of dissolved CO2, from -0.543 degrees H (control) to -0.595 degrees H (1000 ppm). Carbonation to 1000 ppm decreased milk pH (measured at 38 degrees C) from 6.61 (control) to 6.15 (1000 ppm). The effects of CO2 on milk freezing point and pH were reversible upon removal of dissolved CO2. Increased CO2 levels in milk changed the infrared absorption spectrum of milk and caused the corrected lactose readings to decrease and the corrected fat B readings to increase. For the alkaline phosphatase tests, 0 (none), 0.05, 0.1, and 0.2% raw milk were deliberately added to pasteurized milks of six levels of carbonation (0 to 1000 ppm). The addition of CO2 did not influence the ability of Fluorophos, Charm PasLite, and Scharer Modified Rapid tests to differentiate between a pasteurized milk and a pasteurized milk with raw milk contamination.

An attempt to detect oestrus from changes in Fourier transform infrared spectra of milk from dairy heifers

This study was carried out to investigate if there were systematic changes in milk Fourier transform infrared (FT-IR) spectra relative to stage of the oestrous cycle in cattle. Oestrous cycles of 22 lactating heifers were synchronized with two injections of prostaglandin F2alpha (PGF) administered 11 days apart. The heifers were milked twice daily, and milk samples were collected from each heifer at each milking for a period of 70 days, starting on the day of the second PGF injection. Oestrus was diagnosed by visual detection in conjunction with monitoring rectal temperature. Milk samples were analyzed by FT-IR spectroscopy and the spectra data were analyzed using partial least squares (PLS) methods in relation to time of observed oestrus in heifers. In this investigation, it was not possible to identify reliable changes in milk FT-IR spectra in relation to oestrus on a single heifer basis, though there was a weak correlation between FT-IR spectra and expected time of oestrus when the analysis was carried out across all the heifers.

Relationship between serum leptin immunoreactivity and body fat mass as estimated by use of a novel gas-phase Fourier transform infrared spectroscopy deuterium dilution method in cats

OBJECTIVE

To validate a recently developed commercially available leptin radioimmunoassay (RIA) for use with feline serum and evaluate the relationship between serum leptin concentrations and body fat mass in domestic cats.

ANIMALS

19 sexually intact male specific-pathogen-free domestic cats that weighed 3.8 to 7.1 kg and were 1.1 to 3.5 years old.

PROCEDURE

Specificity for feline leptin was evaluated by use of gel filtration chromatography and reverse-phase high-performance liquid chromatography fractionation of serum. Body fat mass was determined by use of the deuterium oxide (D2O) dilution method. Serum water D2O enrichment was measured by use of gas-phase Fourier transform infrared spectroscopy.

RESULTS

Body fat mass and percentage body fat ranged from 0.3 to 2.3 kg and 7.5 to 34.9%, respectively. Serum leptin concentrations were lower in the unfed versus the fed state and ranged between 1.6 and 4.9 ng/ml human equivalent (HE); mean +/- SD value was 2.9 +/- 0.2 ng/ml HE. Leptin concentrations increased with increasing body fat mass and percentage of body fat.

CONCLUSIONS

Leptin is in the serum of domestic cats in free (> 78%) and apparently bound forms. The relationship between body fat and serum leptin concentration was similar to that observed in humans and rodents and indicative of a lipostatic role for leptin in cats. Cats that have an overabundance of body fat appear to be less sensitive to the weight-normalizing action of leptin than cats of ideal body condition.

Application of FT-IR and ESR spectroscopic techniques to the study of CCl4-induced peroxidation in rat liver microsomes

FT-Ir and ESR were used for on the investigation of the CCl4-induced peroxidation of rat liver microsomes in combination with biochemical methods. Lipid peroxidation was assayed by TBA reagent in the presence of CCl4 and NADPH. The CCl3. radical was detected by ESR spectroscopy with a spin trapping reagent of PBN. The FT-IR spectroscopy revealed that absorption band of -C-H in -C=C-H decreased in intensity at 3012 cm-1, but the absorption bands of the phosphate head and choline in the phospholipids did not significantly change between 1300 and 900 cm-1. These findings were interpreted to be due to the removal of H. from -C=C-H by radicals as the first step of lipid peroxidation, and to the absence of dephosphorylation of phospholipids in the microsomal membrane. This is the first IR spectroscopic evidence indicating the nature of damage to a microsomal membrane caused by CCl4 treatment. The spectroscopies used here demonstrated that they are useful tools to observe the damage to microsomal membranes.

Accumulation of diacylglycerol induced by CCl4-derived radicals in rat liver membrane and its inhibition with radical trapping reagent--FT-IR spectroscopic and HPLC chromatographic observations

We have investigated the accumulation of diacylglycerol (DAG) induced by carbon tetrachloride (CCl4)-derived radicals in the liver of female Sprague-Dawley (SD) rats after intraperitoneally injecting CCl4. DAG is an intracellular activator of protein kinase C (PKC) which regulates cell proliferation and differentiation. The electron spin resonance (ESR) study gave the signal of the PBN-CCl3 adduct in the liver of the rats which were pretreated with PBN, confirming that CCl4 was metabolized into CCl3. radicals with cytochrome P450 enzyme and indicating that PBN could trap them. The blood biochemical assay supported the trapping of the CCl3. radicals; the pretreatment of rats with PBN inhibited the increase in the GOT and GPT values upon exposure to CCl4. The Fourier transform-infrared (FT-IR) study indicated in comparison with the model compounds that the CCl4-injected rats accumulated DAG in addition to phosphatidylcholine, phosphatidylethanolamine and triglyceride (TG) in the lipid membrane fraction of the liver homogenate. DAG was found to be ca. 10-15% of the membrane phospholipids by weight. However, DAG was not found in the lipid of the liver microsomes, suggesting that it is formed only in the cell membrane of liver. Also, neither DAG nor TG was found in the lipid membrane of the rats that were pretreated with PBN followed by an injection of CCl4. The formation of DAG was confirmed by an HPLC study. The activation of PKC was observed in liver homogenate in the rats that were injected with CCl4. On the basis of the above findings, it was concluded that the CCl4-derived radicals stimulate PKC through the accumulation of DAG in the liver membrane of the rats. Furthermore, it was shown that PBN has a protective and therapeutic effect against CCl4-induced damage.

A modification to the isotope-dilution technique for estimating milk intake of pigs using pig serum

The aim of this study was to compare the measurement of deuterium oxide (D2O) directly in pig serum with that in sublimed whole blood. This was to assess whether excluding vacuum sublimation before analysis would cause any significant loss of accuracy in estimates of pig milk intake. Water and serum standards were made in deionized water and serum, respectively, and were assayed with samples under the same conditions on a fixed-filter, infrared spectrophotometer. The mean concentration of D2O in sublimed samples was 2,244 microg/mL of body water, and the mean concentration of D2O in serum samples was 2,184 microg/mL of body water. The mean ratio of D2O concentration in deionized water to the D2O concentration in serum was 1.0275, which was used as a correction factor to convert serum D2O concentration to D2O concentrations in body water. Using this method, the mean concentration of D2O in all serum samples was identical to that in sublimed samples (i.e., 2,244 microg/mL of body water). Mean milk intake of pigs based on sublimed samples was 1,006 g/d and that based on serum samples was 1,012 g/d. This confirms that milk intake determined from measurement of D2O directly in pig serum is sufficiently precise.

A unique metabolite of nimesulide

Nimesulide is a nonsteroidal anti-inflammatory drug recently detected in equine blood and urine samples taken at the race track. The detection of the drug in a blood sample led to the identification of an unknown thin-layer chromatographic (TLC) spot in track urine samples as a metabolite of nimesulide. Characterization of the unknown TLC spot and comparison with the synthesized compound shows that the unknown TLC spot is a previously unreported equine metabolite of nimesulide. The metabolite was identified as resulting from the reduction of the nitro group on nimesulide to an amino group. This reduced nitro metabolite (4-amino-2-phenoxy-methanesulfonanilide) is a major metabolite of nimesulide in the equine.

Quantitation of trans fatty acids in milk fat using spectroscopic and chromatographic methods

Trans fatty acids (TFA) formed during biohydrogenation by ruminant animals were quantified in cows' milk fat by means of Fourier transform i.r. (FTIR) spectroscopy. When samples were analysed as the derived methyl esters, a spectral subtraction technique resulted in TFA values that were not biased by the unspecific absorption of intact triacylglycerols or influenced by the shape of the trans band. Austrian milk fat samples contained 20-50 g TFA/kg. Results obtained by analysis of TFA as triacylglycerols compared favourably with those obtained by using methyl esters. The findings of the FTIR method were further substantiated by applying argentation chromatography in combination with capillary gas chromatography to the same set of samples. Besides trans monoenoic acids, non-methylene interrupted cis, trans octadecadienoic acids contributed significantly to the total trans content. Two novel TFA, trans-11, cis-15 octadecadienoic and cis-9, trans-13 octadecadienoic acids, were identified in milk fat by means of their retention behaviour on argentation chromatography and gas chromatography as well as by an oxidative degradation procedure.