A near-infrared reflectance spectroscopic method for the direct analysis of several fodder-related chemical components in drumstick (<i>Moringa oleifera</i> Lam.) leaves

Zhang, Junjie; Li, Shuqi; Lin, Min; Yang, Endian; Chen, Xiaoyang

doi:10.1080/09168451.2018.1445519

Cited by 4 publications

(7 citation statements)

References 33 publications

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“…In fact, NIRS is very difficult to attain the regression relationship and repeatability as well as those of the wet chemical measurement (R 2 > 0.99), especially when the model is adaptable to a wide range of samples with different characteristics influenced by various factors. Practically, the thumb rule is that RPD values > 10 are considered equivalent effectiveness to the reference method, whereas RPD values < 2.5 indicate that NIRS is not suitable for the quantitative determination of the components [9]. For the present study, the RPD values of the best model were ≥ 3.0 (Table 1), implying that the model is effective for the analytical purposes.…”

Section: Establishment Of Calibration Model and Its Evaluationmentioning

confidence: 63%

“…Savitzky-Golay smoothing can wipe out high frequency information and enhance the ratio of signal to noise. Standard normal variate can reduce spectral and particle size variability [9,18]. In the present study, eight pretreatments including vector normalization, minimum-maximum normalization, first derivative, second derivative, multivariate scattering correction, first derivative + minus a straight line, first derivative + vector normalization and first derivative + multivariate scattering correction, were applied to process the spectra.…”

Section: Analyzed Value Of Tannin Content In Sorghum Grainmentioning

confidence: 99%

“…Of the alternatives, spectroscopic techniques might provide a faster, non-invasive measurement based on the interaction of light and chemical groups. For example, near-infrared reflectance spectroscopy (NIRS) is based on the unique near-infrared absorption properties of different chemical groups in organic compounds [9,10]. It has been used as a rapid and cost-effective method for the qualitative and quantitative analyses in various industries [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Incorporation of NIRS and chemometric techniques has given birth of numerous models for rapid analysis of chemical composition (protein, fiber, oil, minerals, etc.) or structure (texture) of a variety of materials, such as soil, forage, fruits [9,13]. Dykes et al [14] reported the possibility of using NIRS to rapidly and non-destructively predict the concentration of condensed tannins in whole grain sorghum.…”

Section: Introductionmentioning

confidence: 99%

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Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Wang¹,

Li²,

Wang³

et al. 2021

IJAST

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This study was conducted to investigate the feasibility of determining tannin content in sorghum grains with near-infrared reflectance spectroscopy (NIRS). A total of 110 sorghum grain samples were collected. The data matrix of the pretreated NIRS was randomly divided into a calibration set (Nc=77 samples) and a prediction set (Np=33 samples). The analysis of tannin content was based on the colorimetric method of GBT 15686-2008. Diffuse reflectance spectra of 110 sorghum samples were generated on a Fourier-transform NIRS with a scanning range of 12800-4000 cm -1 and resolution of 16 cm -1 and 64 scans. Several spectra pretreatment methods were compared to for an optimum spectral pretreatment method. The optimal model was determined according to coefficient of determination for calibration (R 2 CAL ), root mean standard error of calibration (RMSE CAL ), coefficient of determination for cross-validation (R 2 CV ), root mean standard error of cross-validation (RMSE CV ) and the residual predictive deviation (RPD). The results showed that the tannin content of the sorghum grains ranged from 0.01% to 2.12% DM with the average of 0.58%, and first derivative was the optimal spectral pretreatment with the lowest RMSE CV of 0.14. The absorption peaks of the optimal model mainly located at 9402-7492 cm -1 and 5452-4244 cm -1 . The RPD of calibration, cross-validation and external validation were 6.22, 4.22 and 3.0, respectively. The findings suggest that the established model using NIRS is effective to quantify tannin content in sorghum grains rapidly.

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Section: Establishment Of Calibration Model and Its Evaluationmentioning

confidence: 63%

Section: Analyzed Value Of Tannin Content In Sorghum Grainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Wang¹,

Li²,

Wang³

et al. 2021

IJAST

View full text Add to dashboard Cite

show abstract

“…Therefore, rapid and accurate determination of feed parameters has a key role both in nutritional diets of ruminants and in bioenergy conversion (3). But, the mainly chemical methods (Kjeldahl, Van Soest, Soxhlet, etc) used in quality (nutrients, crude protein, crude fat, crude cellulose, crude ash and nitrogen-free substances) determination are considerably expensive and time-consuming methods (4,5). Moreover, the chemicals used in analyses may not only negatively affect the health of people working in laboratories (6) but will also give rise to the necessity of removing chemical waste in order to prevent environmental pollution following the analyses (7).…”

Section: Introductionmentioning

confidence: 99%

Predicting some quality factors of annual ryegrass (Lolium multiflorum lam.) by means of spectral reflectance values

Özyiğit

Aydinoğlu

2018

Cell Mol Biol (Noisy-le-grand)

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This study was conducted to predict some quality factors of the annual ryegrass (Lolium multiflorum Lam.) with spectral reflectance values in the Forage Crops Laboratory in the Department of Field Crops at the Agriculture Faculty, Akdeniz University, Turkey. In the study, variations resulting from different implementations (moisture level, bale density, propionic acid application and storage period) made during haymaking were determined with reflectance values.For reflectance measurements, a portable spectroradiometer and a contact probe (plant probe) were used and predicting models were created. Results of this study showed that quality factors of dried Annual ryegrass could be predicted with reflectance values, and that reflectances had higher efficacy in the red region for, the red and green, and the NIR region for crude protein, crude ash and crude cellulose, respectively. The results reveal that in dried annual ryegrass, there are significant relationships between feed quality factors such as crude protein, crude ash and crude cellulose, and reflectance values, and that especially crude protein levels can be rapidly and cheaply predicted by using reflectance values.

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Performance of three handheld NIR spectrometers for predicting grass silage quality

Pierna¹,

Vermeulen²,

Chamberland³

et al. 2022

Biotechnol. Agron. Soc. Environ.

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Description of the subject. Feed is the main variable cost in dairy farming. More efficient use of forage resources is one way to reduce production costs. Improving forage resource efficiency can start with a better assessment of the dry matter content and nutritional value of forages. Currently, analytical process time is often long and analyses are not repeatable while the quality of the fodder changes over time. Being able to analyze forages directly on-farm would make it possible to adapt the animal diet according to forage variability, in order to improve the profitability of the farm. Objectives. To propose in situ rapid analysis solutions to better characterize dry matter content and the chemical composition of fodder for assessing its feeding value. Method. The performance of three recently developed spectroscopic handheld devices, namely the Viavi’s MicroNIR 1700, the Ocean Insight’s FlameNIR and the Malvern Panalytical’s ASD FieldSpec 4, are evaluated to predict dry matter content and the chemical composition of fresh and unground grass silage in the framework of precision feeding and compared to the reference benchtop Foss’s XDS instrument. The conventional global PLS and local PLS are used as multivariate calibration methods. Results. The assessed handheld devices allow the dairy farmer to obtain a relatively precise quantitative prediction of the dry matter and crude fiber content (2.5% and 1.8% respectively on average, in terms of ratios between the local PLS error on fresh forage and the reference method error) in order to adapt the livestock diet. Crude protein, even if the prediction accuracy is lower (6.4%), is still well predicted. Higher errors are obtained for ash (9.2%), crude neutral (6.8%) and acid detergent fiber (6.9%). Conclusions. The studied devices should allow the dairy farmer to obtain a relatively precise quantitative prediction of those quality parameters in order to directly adapt the quantity of forage distributed to the animals. Performances could probably be improved by including more samples/spectra into the databases.

show abstract

A near-infrared reflectance spectroscopic method for the direct analysis of several fodder-related chemical components in drumstick (Moringa oleifera Lam.) leaves

Cited by 4 publications

References 33 publications

Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Effective Quantification of Tannin Content in Sorghum Grains Using Near-infrared Spectroscopy

Predicting some quality factors of annual ryegrass (Lolium multiflorum lam.) by means of spectral reflectance values

Performance of three handheld NIR spectrometers for predicting grass silage quality

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