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Prediction of lignin content in ruminant diets and faecal samples using rapid analytical techniques

Lyons, G., Carmichael, E., McRoberts, C., Aubrey, A., Thomson, A. and Reynolds, C. K. (2018) Prediction of lignin content in ruminant diets and faecal samples using rapid analytical techniques. Journal of Agricultural and Food Chemistry, 66 (49). pp. 13031-13040. ISSN 0021-8561

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To link to this item DOI: 10.1021/acs.jafc.8b03808

Abstract/Summary

The measurement of lignin content in ruminant diet and faecal samples is important for 2 digestibility studies, but it is typically time consuming and costly. The work reported 3 involved correlation of traditional wet chemistry data with that from three rapid instrumental 4 techniques, Fourier Transform Infrared spectroscopy (FTIR), Conventional 5 Thermogravimteric Analysis (TGA) and High Resolution TGA (MaxRes TGA) to predict 6 lignin content of diets and faeces from digestibility trials. Calibration and performance data 7 indicated that the FTIR model was acceptable for screening whilst the Conventional and 8 MaxRes TGA predictions were of high accuracy for quantitative analysis. Cross validation 9 and model performance data revealed that MaxRes TGA provided the best performing 10 predictive model. This work showed that MaxRes TGA can accurately predict lignin content 11 in ruminant diet and faecal samples with distinct advantages over traditional wet chemistry, 12 namely the requirement for small sample size, ease of sample preparation, speed of analysis 13 and high sample throughput at considerably lower cost.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Life Sciences > School of Agriculture, Policy and Development > Food Production and Quality Division > Animal, Dairy and Food Chain Sciences (ADFCS)
ID Code:80754
Uncontrolled Keywords:Lignin prediction, TGA, MaxRes TGA, FTIR, diets, faeces
Publisher:American Chemical Society

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