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Phytochemical diversity and biological activities of Hypericum japonicum and Hypericum sampsonii: potential for natural product-based food applications
Food Chemistry,
2025
DOI:10.1016/j.foodchem.2025.144355
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[2]
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Development of a NIRS-based prediction model for measurement of whole wheat flour arabinoxylan content to aid rapid germplasm screening
Journal of Cereal Science,
2025
DOI:10.1016/j.jcs.2025.104173
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[3]
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Rapid assessment of nutritional value indicators in Vigna unguiculata (L.) Walp. seed accessions from the VIR collection using NIR spectroscopy
Proceedings on applied botany, genetics and breeding,
2025
DOI:10.30901/2227-8834-2025-2-68-78
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[4]
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Reference Materials in Measurement and Technology
2024
DOI:10.1007/978-3-031-49200-6_9
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[5]
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Influence of Deficit Irrigation Regimes On the Quantitative and Qualitative Yield of Forage Maize Hybrids
Journal of Crop Health,
2024
DOI:10.1007/s10343-024-00973-1
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[6]
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Polydopamine-based nanostructures: A new generation of versatile, multi-tasking, and smart theranostic tools
Nano Today,
2024
DOI:10.1016/j.nantod.2024.102151
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[7]
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Using near-infrared reflectance spectroscopy (NIRS) to predict the nitrogen levels in the stem and root tissues of Brassica juncea (Indian mustard)
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,
2024
DOI:10.1016/j.saa.2024.124755
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[8]
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Estimating Wood Specific Gravity of Ravenala madagascariensis Sonn. Using Near-Infrared Spectroscopy
Key Engineering Materials,
2024
DOI:10.4028/p-ROrN3T
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[9]
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Establishment of near-infrared rapid prediction model and comprehensive evaluation model for foxtail millet quality
Journal of Food Composition and Analysis,
2024
DOI:10.1016/j.jfca.2024.106769
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[10]
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Hydrothermal liquefaction of southern yellow pine with downstream processing for improved fuel grade chemicals production
Energy Conversion and Management: X,
2024
DOI:10.1016/j.ecmx.2024.100735
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[11]
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Development of non-destructive NIRS models to predict oil and major fatty acid contents of Ethiopian sesame
Journal of Food Composition and Analysis,
2023
DOI:10.1016/j.jfca.2022.104908
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[12]
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Development of non‐destructive models to predict oil content and fatty acid composition of Gomenzer (Ethiopian mustard) using near‐infrared reflectance spectroscopy
JSFA reports,
2023
DOI:10.1002/jsf2.98
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[13]
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Behavioral and Physiological Alterations in Angus Steers Grazing Endophyte-Infected Toxic Fescue during Late Fall
Toxins,
2023
DOI:10.3390/toxins15050343
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[14]
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Quality Evaluation of Fair-Trade Cocoa Beans from Different Origins Using Portable Near-Infrared Spectroscopy (NIRS)
Foods,
2022
DOI:10.3390/foods12010004
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[15]
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Prediction of protein and amino acid contents in whole and ground lentils using near-infrared reflectance spectroscopy
LWT,
2022
DOI:10.1016/j.lwt.2022.113669
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[16]
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A Study of the Reliability and Accuracy of the Real-Time Detection of Forage Maize Quality Using a Home-Built Near-Infrared Spectrometer
Foods,
2022
DOI:10.3390/foods11213490
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[17]
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Near-infrared spectroscopic models for analysis of winter pea (Pisum sativum
L.) quality constituents
Journal of the Science of Food and Agriculture,
2018
DOI:10.1002/jsfa.8947
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[18]
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Analysis of moisture, oil, and fatty acid composition of olives by near-infrared spectroscopy: development and validation calibration models
Journal of the Science of Food and Agriculture,
2017
DOI:10.1002/jsfa.8658
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