NIR Spectroscopy Calibration Basics

Workman, Jr Jerome

doi:10.1201/9781420007374-12

Cited by 6 publications

(1 citation statement)

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“…The prediction performance of IVDMD is usually more accurate in samples with a moisture level below 8% because of potential interference from moisture in forage samples with NIRS spectra [ 24 ]. Because organic compounds in the samples may contain O–H bond, which is also related to moisture, this bond potentially affects the spectra of hydrogen bonding in samples changing band position and width [ 28 ]. Therefore, the alterations of hydrogen bonding may result in substantial changes in the related NIR spectrum.…”

Section: Resultsmentioning

confidence: 99%

Application of near-infrared spectroscopy for hay evaluation at different degrees of sample preparation

Jeong,

Han,

Ahmadi

et al. 2024

Anim Biosci

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Objective: A study compared the performance of the NIRS (Near-Infrared Spectroscopy) calibration models developed with different degrees of hay sample preparations.Methods: Spectral data of 1-mm ground or whole hay samples were regressed against wet chemistry results of moisture, NDF (neutral detergent fiber), ADF (acid detergent fiber), CP (crude protein), and IVDMD (in vitro dry matter digestibility). A total of 227 imported alfalfa (Medicago sativa L.) and another 360 timothy (Phleum pratense L.) hay samples were used to develop the calibration models.The models developed with ground hay samples were more robust and accurate than whole hay based on cross-validation's R 2 (coefficient of determination), standard error, and RPD (ratio percentage deviation). Results:The R 2 of cross-validation ranged from 0.61 (moisture of alfalfa) to 0.95 (CP prediction of timothy). Although R 2 of calibration models was mainly greater than 0.90, the R 2 of cross-validations remained marginal. Conclusion:Estimation of nutrient concentrations in imported hay can be achieved by calibrated NIRS. The NIRS calibration models must be improved by including more imported hay samples from different years and origins. Although the analysis accuracy of NIRS was substantially higher when calibration models were developed with ground samples, less sample preparation will be more advantageous for achieving rapid delivery of hay sample analysis results. Therefore, further research warrants investigating the level of sample preparation inputs compromising analysis accuracy by NIRS.

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Section: Resultsmentioning

confidence: 99%