Application of transmission infrared spectroscopy and partial least squares regression to predict immunoglobulin G concentration in dairy and beef cow colostrum

Elsohaby, Ibrahim; Windeyer, M. Claire; Haines, Deborah M.; Homerosky, Elizabeth R.; Pearson, Jennifer M.; McClure, J. Trenton; Keefe, Greg

doi:10.1093/jas/sky003

Cited by 14 publications

(9 citation statements)

References 37 publications

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“…The relationship between VOCs and milk quality parameters was assessed using partial least squares (PLS), sometimes referred to as partial least squares regression. Partial least square analysis was developed in 1966 (Wold) and has been used in a variety of applications in dairy science and technology in the last decade (Macciotta et al 2006;Colombani et al 2012;Bonfatti et al 2017;Elsohaby et al 2018;Wu et al 2018). Partial least squares analysis bears a strong resemblance to principal component analysis (PCA) because it allows researchers to explore relationships among a set of variables.…”

Section: Discussionmentioning

confidence: 99%

Correlation of volatile compound concentrations with bacterial counts in whole pasteurised milk under various storage conditions

Ziyaina

Rasco

Coffey

et al. 2018

Int J of Dairy Tech

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This study investigated the relationship between bacterial counts and volatile organic compound (VOC) formation in 3.9% fat milk. The milk was stored at 7, 10, 13, 15 and 19 (±1 °C). Volatile compounds were measured using solid‐phase microextraction with gas chromatography. Enzyme activity was also monitored throughout the shelf life. Results show that volatile organic compound concentrations increased with higher bacterial counts (5.0–7.0 log10 cfu/mL). Bacterial counts correlated closely with acetaldehyde, butanone, ethanol, hexanal, acetone and fatty acid concentrations. Results indicate that protease and lipase activities increased and correlated closely with VOCs. Formation of VOCs was detectable when protease and lipase activities reached 1.2–1.3 U/mL and 0.32–0.350 meq/mL, respectively. These findings provide a basis for the monitoring of milk quality using chemical sensors that are sensitive to VOCs, particularly under conditions of thermal abuse.

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Section: Discussionmentioning

confidence: 99%

Correlation of volatile compound concentrations with bacterial counts in whole pasteurised milk under various storage conditions

Ziyaina

Rasco

Coffey

et al. 2018

Int J of Dairy Tech

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“…The present study found that the two Italian beef cows breed produce a colostrum with a higher IgG concentration than HF reared in Italy. IgG content of CHIA colostrum was higher than what has been reported in a French beef cattle breed (Vandeputte et al ., 2014) but lower than what was found in Irish (McGee et al ., 2005; Earley et al ., 2018) and Canadian beef herds (Homerosky et al ., 2017; Elsohaby et al ., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…our measure of Holstein Friesian colostral immunoglobulin G concentration is comparable to what was reported by Quigley and colleagues (Quigley et al ., 2013) and slightly higher than data reported by Elsohaby et al . (2018).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Brix refractometer as an on-farm tool for colostrum IgG evaluation in Italian beef and dairy cattle

Lorenzo

Forte

D’Avino

et al. 2021

Journal of Dairy Research

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In this study it is hypothesized that there are differences between immunoglobulin G (IgG) content in colostrum from beef (Chianina, Podolica) and dairy (Holstein Friesian) cows and that variables such as breed, and parity can influence IgG content. The further objective was to determine if these factors may vary in terms of sensitivity, specificity and the cut point when data obtained with the digital Brix refractometer is compared with the gold standard radial immunodiffusion assay (RID). A total of 90 samples of first-milking colostrum were collected within 2 h after parturition. IgG concentration was determined indirectly by digital Brix refractometer and directly by RID. Results obtained by RID were compared among breed and parity. For the digital Brix refractometer, sensitivity and specificity to detect colostrum with an IgG concentration lower than 50 g/l were calculated and the optimal cut-point was selected for each breed. Samples containing less than <50 g/l IgG accounted for 15.9% of the total. Parity influenced colostral IgG concentration and beef cows had a higher mean concentration of IgG (101.1 g/l in Chianina and 90.6 g/l in Podolica) than dairy cows (71.1 g/l in Holstein Friesian) First parity Chianina cows had the highest IgG mean content (116.1 g/l). At the optimal cut-point for Brix refractometer (20%) sensitivity and specificity were 0.93 (0.84–0.97) and 0.81 (0.70–0.88), however, a breed-related cut-point could be used to reduce evaluation error. Linear regression modeling showed that refractometer data were related to RID (r = 0.78). Results obtained suggest that breed and parity can influence IgG content of colostrum and, despite the Brix refractometer being an excellent on-farm tool, a breed-based definition of optimal cut point is needed.

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“…A total of 430 samples were analyzed and RID was the comparative method. The correlation measured with RID and TIR between the IgG concentration of two different colostrum sets was 0.84 and 0.96, respectively [ 43 ]. The correlations between RID and TIR concerning the IgG concentration are, in part, higher than the correlations measured between RID and the colostrometer [ 5 , 7 , 31 , 44 ] or the refractometer [ 11 , 20 , 34 , 45 ].…”

Section: Methods For Measuring the Immunoglobulin Concentration Of Colostrummentioning

confidence: 99%

Determining Immunoglobulin Content of Bovine Colostrum and Factors Affecting the Outcome: A Review

Ahmann

Steinhoff‐Wagner

Büscher

2021

Animals

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The immunoglobulin concentration in bovine colostrum should be measured to ensure feeding with sufficient immunoglobulins (≥50 mg immunoglobulin G mL−1). Adequate feeding prevents diseases, promotes development, and has a positive influence on the adult animal. Indirect and direct measurement methods are available for this purpose. Direct measurement methods cannot be easily used in practice; therefore, farmers use indirect methods such as a colostrometer and a refractometer. Many factors influence the immunoglobulin concentration of colostrum; some of them have already been intensively researched. In particular, lactation and temporal aspects play an essential role. Newer aspects such as dry period, seasonal influences, and genetics are gaining importance, but their impact on immunoglobulin content has not been sufficiently investigated. Developments are still needed, especially in data management. This review analyzes the outcome of different studies on the indirect and direct measurement methods and discusses different factors influencing the immunoglobulin concentration of bovine colostrum.

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Application of transmission infrared spectroscopy and partial least squares regression to predict immunoglobulin G concentration in dairy and beef cow colostrum

Cited by 14 publications

References 37 publications

Correlation of volatile compound concentrations with bacterial counts in whole pasteurised milk under various storage conditions

Correlation of volatile compound concentrations with bacterial counts in whole pasteurised milk under various storage conditions

Evaluation of Brix refractometer as an on-farm tool for colostrum IgG evaluation in Italian beef and dairy cattle

Determining Immunoglobulin Content of Bovine Colostrum and Factors Affecting the Outcome: A Review

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