scholarly journals Establishment of an Accurate Starch Content Analysis System for Fresh Cassava Roots Using Short-Wavelength Near Infrared Spectroscopy

ACS Omega ◽  
2020 ◽  
Vol 5 (25) ◽  
pp. 15468-15475 ◽  
Author(s):  
Yuranan Bantadjan ◽  
Ronnarit Rittiron ◽  
Kritsanun Malithong ◽  
Sureeporn Narongwongwattana
Keyword(s):  
Content Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Short Wavelength ◽  
Near Infrared ◽  
Starch Content ◽  
Analysis System

Using near infrared spectroscopy to determine moisture and starch content of corn processing products

2017 ◽  
Vol 25 (5) ◽  
pp. 348-359 ◽  
Author(s):  
Ye Chen ◽  
Lauren Delaney ◽  
Susan Johnson ◽  
Paige Wendland ◽  
Rogerio Prata
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Starch Content ◽  
Rapid Development ◽  
Partial Least Square ◽  
Least Square ◽  
Operational Parameters ◽  
Corn Flour ◽  
Analytical Technique

Due to the rapid development of the corn-to-ethanol industry, the demand for process monitoring has led to the gradual substitution of traditional analytical techniques with fast and non-destructive methods such as near infrared spectroscopy. In this study, the feasibility of using Fourier transform–near infrared technology as an analytical tool to predict operational parameters (dry solids, starch, carbohydrate, and ethanol content) was investigated. Corn flour, liquefied mash, fermented mash, and distiller’s dried grains with solubles were selected to represent the feedstock, two intermediate products, and one primary co-product of corn-to-ethanol plants, respectively. Multivariate partial least square calibration models were developed to correlate near infrared spectra to the corresponding analytical values. The validation results indicate that near infrared models can be developed that will predict various parameters accurately (root mean square error of prediction: 0.16–1.14%, residual predictive deviation: 3.0–6.3). Measurement of starch or carbohydrate content in corn flour or distiller’s dried grains with solubles is challenging due to low accuracy of wet chemistry methods as well as sample complexity. The study demonstrated that near infrared spectroscopy, a high-throughput analytical technique, has the potential to replace the enzymatic assay.

Noninvasive monitoring of bulk polymerization using short-wavelength near-infrared spectroscopy

1993 ◽  
Vol 65 (24) ◽  
pp. 3581-3585 ◽  
Author(s):  
P. K. Aldridge ◽  
J. J. Kelly ◽  
James B. Callis ◽  
D. H. Burns
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Short Wavelength ◽  
Near Infrared ◽  
Noninvasive Monitoring ◽  
Bulk Polymerization

scholarly journals Analisa Gula Kristal Putih Secara Cepat Menggunakan Near Infrared Spectroscopy

2021 ◽  
Vol 1 (2) ◽  
pp. 106-113
Author(s):  
Opal Priya Wening
Keyword(s):  
Content Analysis ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Partial Least Square ◽  
Least Square

Near infrared spectroscopy (NIRS) merupakan metode alternatif untuk menganalisa parameter sampel yang lebih cepat. Pada penelitian ini, NIRS akan digunakan sebagai penentuan kualitas gula kristal putih (GKP) dengan parameter penting seperti pol, warna, susut pengeringan, dan berat jenis butiran. Sampel gula yang digunakan berasal dari laboratorium P3GI. Instrumen NIRS menggunakan FOSS XDS rapid content analysis, kemudian model yang dibangun menggunakan metode kalibrasi partial least square (PLS). Hasil NIRS dievaluasi dengan standar: nilai korelasi R2 dan r2 yang mendekati 1, error SEC yang rendah, dan rasio RPD yang tinggi. Penelitian menghasilkan nilai untuk pol (%): R2 = 0,970, SEC = 0,023, r2 = 0,496, RPD = 1,152; warna (IU):  R2 = 0,970, SEC = 12,305, r2 = 0,757, RPD = 1,529; susut pengeringan (%): R2 = 0,973, SEC = 0,004, r2 = 0,789, RPD = 1,601; dan berat jenis butiran (mm): R2 = 0,954, SEC = 0,038, r2 = 0,407, RPD = 0,997. Berdasarkan hasil evaluasi tersebut metode NIRS berpotensi sebagai analisa kualitas gula kristal putih dengan model yang dibangun tergolong sebagai pendahuluan.

Near-infrared spectroscopy as a rapid tool for water content analysis in the partial oxidation of ethanol

2019 ◽  
Vol 52 (9) ◽  
pp. 533-540 ◽  
Author(s):  
Romana Velvarská ◽  
Marcela Fiedlerová ◽  
José Miguel Hidalgo-Herrador ◽  
Zdeněk Tišler
Keyword(s):  
Content Analysis ◽  
Infrared Spectroscopy ◽  
Water Content ◽  
Partial Oxidation ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Tool ◽  
Oxidation Of Ethanol
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