161 related articles for article (PubMed ID: 36426140)
1. Predicting starch content in cassava fresh roots using near-infrared spectroscopy.
Nkouaya Mbanjo EG; Hershberger J; Peteti P; Agbona A; Ikpan A; Ogunpaimo K; Kayondo SI; Abioye RS; Nafiu K; Alamu EO; Adesokan M; Maziya-Dixon B; Parkes E; Kulakow P; Gore MA; Egesi C; Rabbi IY
Front Plant Sci; 2022; 13():990250. PubMed ID: 36426140
[TBL] [Abstract][Full Text] [Related]
2. Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy.
Bantadjan Y; Rittiron R; Malithong K; Narongwongwattana S
ACS Omega; 2020 Jun; 5(25):15468-15475. PubMed ID: 32637821
[TBL] [Abstract][Full Text] [Related]
3. Near-infrared spectroscopy for early selection of waxy cassava clones via seed analysis.
Sousa MBE; Filho JSS; de Andrade LRB; de Oliveira EJ
Front Plant Sci; 2023; 14():1089759. PubMed ID: 36755702
[TBL] [Abstract][Full Text] [Related]
4. Insect Protein Content Analysis in Handcrafted Fitness Bars by NIR Spectroscopy. Gaussian Process Regression and Data Fusion for Performance Enhancement of Miniaturized Cost-Effective Consumer-Grade Sensors.
Beć KB; Grabska J; Plewka N; Huck CW
Molecules; 2021 Oct; 26(21):. PubMed ID: 34770798
[TBL] [Abstract][Full Text] [Related]
5. Near-infrared spectroscopy in quality control of Piper nigrum: A comparison of performance of benchtop and handheld spectrometers.
Mayr S; Beć KB; Grabska J; Schneckenreiter E; Huck CW
Talanta; 2021 Feb; 223(Pt 2):121809. PubMed ID: 33298289
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of near-infrared spectroscopy procedures for prediction of cassava root dry matter and amylose contents in Ugandan cassava germplasm.
Nuwamanya E; Wembabazi E; Kanaabi M; Namakula FB; Katungisa A; Lyatumi I; Esuma W; Alamu EO; Dufour D; Kawuki R; Davrieux F
J Sci Food Agric; 2024 Jun; 104(8):4793-4800. PubMed ID: 37665950
[TBL] [Abstract][Full Text] [Related]
7. Application of a Handheld Near-Infrared Spectrometer to Predict Gelatinized Starch, Fiber Fractions, and Mineral Content of Ground and Intact Extruded Dry Dog Food.
Goi A; Simoni M; Righi F; Visentin G; De Marchi M
Animals (Basel); 2020 Sep; 10(9):. PubMed ID: 32947788
[TBL] [Abstract][Full Text] [Related]
8. Prediction of functional characteristics of gari (cassava flakes) using near-infrared reflectance spectrometry.
Adesokan M; Alamu EO; Fawole S; Maziya-Dixon B
Front Chem; 2023; 11():1156718. PubMed ID: 37234202
[TBL] [Abstract][Full Text] [Related]
9. Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava.
Kanaabi M; Namakula FB; Nuwamanya E; Kayondo IS; Muhumuza N; Wembabazi E; Iragaba P; Nandudu L; Nanyonjo AR; Baguma J; Esuma W; Ozimati A; Settumba M; Alicai T; Ibanda A; Kawuki RS
Plant Genome; 2024 Jun; 17(2):e20403. PubMed ID: 37938872
[TBL] [Abstract][Full Text] [Related]
10. Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS).
Ikeogu UN; Davrieux F; Dufour D; Ceballos H; Egesi CN; Jannink JL
PLoS One; 2017; 12(12):e0188918. PubMed ID: 29228026
[TBL] [Abstract][Full Text] [Related]
11. Rapid Starch Evaluation in Fresh Cassava Root Using a Developed Portable Visible and Near-Infrared Spectrometer.
Bantadjan Y; Rittiron R; Malithong K; Narongwongwattana S
ACS Omega; 2020 May; 5(19):11210-11216. PubMed ID: 32455245
[TBL] [Abstract][Full Text] [Related]
12. Comparison of the performances of handheld and benchtop near infrared spectrometers: Application on the quantification of chemical components in maritime pine (Pinus Pinaster) resin.
Rubini M; Feuillerat L; Cabaret T; Leroyer L; Leneveu L; Charrier B
Talanta; 2021 Jan; 221():121454. PubMed ID: 33076077
[TBL] [Abstract][Full Text] [Related]
13. Rapid Detection of Volatile Oil in
Yan H; Guo C; Shao Y; Ouyang Z
Pharmacogn Mag; 2017; 13(51):439-445. PubMed ID: 28839369
[TBL] [Abstract][Full Text] [Related]
14. Using an optimal CC-PLSR-RBFNN model and NIR spectroscopy for the starch content determination in corn.
Jiang H; Lu J
Spectrochim Acta A Mol Biomol Spectrosc; 2018 May; 196():131-140. PubMed ID: 29444495
[TBL] [Abstract][Full Text] [Related]
15. Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques.
Douglas RK; Nawar S; Alamar MC; Mouazen AM; Coulon F
Sci Total Environ; 2018 Mar; 616-617():147-155. PubMed ID: 29127788
[TBL] [Abstract][Full Text] [Related]
16. Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit.
Mishra P; Marini F; Brouwer B; Roger JM; Biancolillo A; Woltering E; Echtelt EH
Talanta; 2021 Feb; 223(Pt 2):121733. PubMed ID: 33298261
[TBL] [Abstract][Full Text] [Related]
17. High-throughput analysis of leaf physiological and chemical traits with VIS-NIR-SWIR spectroscopy: a case study with a maize diversity panel.
Ge Y; Atefi A; Zhang H; Miao C; Ramamurthy RK; Sigmon B; Yang J; Schnable JC
Plant Methods; 2019; 15():66. PubMed ID: 31391863
[TBL] [Abstract][Full Text] [Related]
18. NIR determination of major constituents in tropical root and tuber crop flours.
Lebot V; Champagne A; Malapa R; Shiley D
J Agric Food Chem; 2009 Nov; 57(22):10539-47. PubMed ID: 19919112
[TBL] [Abstract][Full Text] [Related]
19. Detection of unexpected frauds: Screening and quantification of maleic acid in cassava starch by Fourier transform near-infrared spectroscopy.
Fu HY; Li HD; Xu L; Yin QB; Yang TM; Ni C; Cai CB; Yang J; She YB
Food Chem; 2017 Jul; 227():322-328. PubMed ID: 28274438
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of Dual-Band Near-Infrared Spectroscopy and Chemometric Analysis for Rapid Quantification of Multi-Quality Parameters of Soy Sauce Stewed Meat.
Jiang H; Zhou Y; Zhang C; Yuan W; Zhou H
Foods; 2023 Jul; 12(15):. PubMed ID: 37569151
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]