Hydration numbers by near-infrared spectrophotometry. 1. Amino acids

1982 ◽  
Vol 86 (11) ◽  
pp. 1938-1941 ◽  
Author(s):  
J. Leland Hollenberg ◽  
James B. Ifft
Keyword(s):  
Amino Acids ◽  
Near Infrared ◽  
Hydration Numbers ◽  
Infrared Spectrophotometry

Hydration numbers by near-infrared spectrophotometry. 2. Sugars

1983 ◽  
Vol 87 (4) ◽  
pp. 695-696 ◽  
Author(s):  
J. Leland Hollenberg ◽  
David O. Hall
Keyword(s):  
Near Infrared ◽  
Hydration Numbers ◽  
Infrared Spectrophotometry

Intelligent evaluation of taste constituents and polyphenols-to-amino acids ratio in matcha tea powder using near infrared spectroscopy

2021 ◽  
Vol 353 ◽  
pp. 129372
Author(s):  
Zhiming Guo ◽  
Alberta Osei Barimah ◽  
Limei Yin ◽  
Quansheng Chen ◽  
Jiyong Shi ◽  
...  
Keyword(s):  
Amino Acids ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared

The screening and preliminary construction of quality mutant population for cultivar “Nipponbare” in japonica rice (Oryza sativa)

Biologia ◽  
2012 ◽  
Vol 67 (6) ◽  
Author(s):  
Da Zhang ◽  
Jian Wu ◽  
Guan Li ◽  
Chun Shi
Keyword(s):  
Amino Acids ◽  
Oryza Sativa ◽  
Amino Acid ◽  
Mutation Frequency ◽  
Near Infrared ◽  
Essential Amino Acids ◽  
Japonica Rice ◽  
Near Infrared Reflectance ◽  
Mutant Population ◽  
Nonessential Amino Acids

AbstractProgenies of Oryza sativa cv. Nipponbare induced with 0.4% ethyl methane sulphonate (EMS) were screened for quality mutants and the preliminary quality mutant population was constructed in present experiment. A total of 2210 materials were first screened using near infrared reflectance spectroscopy (NIRS) from which 208 quality mutants were obtained for a second screening and then yielded 73 quality mutants including amylase content (AC), gel consistency (GC), gelatinization temperature (GT), protein content (PC), rapid viscosity analysis (RVA) parameters and amino acid contents. The screening yielded 11 PC mutants with a mutation frequency of 4.98‰, followed by 7 rice floury viscosity mutants (3.17‰), 5 AC mutants (2.26‰), 4 chalky mutants, GT and GC mutants (1.81‰), and 2 ASV mutants (0.9‰). The relative contents of 17 kinds of amino acid mutations, including 7 kinds for essential amino acids and 10 kinds for nonessential amino acids were identified. With the variation of 10% as the screening standard, mutants were obtained for lysine and leucine at 0.45‰ and for valine at 4.98‰, but no mutants were found for isoleucine, phenylalanine, threonine. For nonessential amino acids, mutants of glutamic (0.45‰), arginine (3.62‰), alanine (3.17‰), serine (0.45‰), glycine (0.45‰), tyrosine (1.81‰), proline (2.71‰), and histidine (0.45‰) were obtained, but none was found for aspartic, phenylalanine nor threonine. At 100% as the screening standard for methionine and cysteines, the mutation frequency of these two amino acid mutants were 0.9‰ and 4.98‰ respectively. Quality mutants in this preliminary library of rice could play important role in gene function and breeding of rice quality.

Measurement of the Ratio of Tea Polyphenols to Amino Acids in Green Tea Infusion Based on near Infrared Spectroscopy

2011 ◽  
Vol 301-303 ◽  
pp. 1093-1097 ◽  
Author(s):  
Shi Rong Ai ◽  
Rui Mei Wu ◽  
Lin Yuan Yan ◽  
Yan Hong Wu
Keyword(s):  
Amino Acids ◽  
Infrared Spectroscopy ◽  
Correlation Coefficient ◽  
Green Tea ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Tea Polyphenols ◽  
Strong Absorption ◽  
Tea Infusion

This study attempted the feasibility to determine the ratio of tea polyphenols to amino acids in green tea infusion using near infrared (NIR) spectroscopy combined with synergy interval PLS (siPLS) algorithms. First, SNV was used to preprocess the original spectra of tea infusion; then, siPLS was used to select the efficient spectra regions from the preprocessed spectra. Experimental results showed that the spectra regions [7 8 18] were selected, which were out of the strong absorption of H2O. The optimal PLS model was developed with the selected regions when 6 PCs components were contained. The RMSEP value was equal to 0.316 and the correlation coefficient (R) was equal to 0.8727 in prediction set. The results demonstrated that NIR can be successfully used to determinate the ration of tea polyphenols to amino acids in green tea infusion.

scholarly journals Features of сalibration еequations for IR scanners in determining the amino acid composition of soy proteins

2020 ◽  
Author(s):  
С.Е. НИЗКИЙ ◽  
Г.А. КОДИРОВА ◽  
Г.В. КУБАНКОВА
Keyword(s):  
Amino Acids ◽  
Liquid Chromatography ◽  
Amino Acid ◽  
Amino Acid Composition ◽  
Acid Composition ◽  
High Performance ◽  
Near Infrared ◽  
Soybean Proteins ◽  
Calibration Equation ◽  
Calibration Equations

Из 20 аминокислот, входящих в состав растительных белков, 17 лучше всего определяются с помощью высокоэффективной жидкостной хроматографии. Но эта технология затратна по времени, в том числе из-за подготовки проб, что делает ее малопригодной при проведении массовых анализов, например при оценке селекционного материала. В этом случае наиболее приемлемы технологии, основанные на сканировании в ближнем инфракрасном диапазоне излучения. Несмотря на то что ИК-сканеры способны по одному калибровочному уравнению выявлять большое количество компонентов, необходима постоянная коррекция при определении состава аминокислот и приведении его в процентное соотношение. В статье рассматриваются варианты создания калибровочных уравнений для расчета аминокислотного состава белков сои с помощью компьютерных программ (Nir 42, ISI), обеспечивающих работу ИК-сканеров типа NIR-4250 или FOSS NIRSystem 5000. Установлено, что при создании калибровочных уравнений содержание каждой аминокислоты наиболее корректно выражать в абсолютных единицах (г на 100 г белка), а не относительных (%). 17 of the 20 amino acids, included in the composition of plant proteins, are most effectively determined using liquid chromatography. The technology of high-performance liquid chromatography is to a certain extent costly in time, among other things because of sample preparation that makes it unsuitable for mass analysis, for example, when evaluating a breeding material. In this case, the technology based on scanning in the near infrared radiation band are the most acceptable. Despite the fact that IR scanners are able to determine a sufficiently large number of components on the basis of one calibration equation, a constant correction is required when determining the composition of amino acids and reducing it to a percentage ratio. The options for creating calibration equations for determining the amino acid composition of soybean proteins for computer programs (Nir 42, ISI), which provide the operation of IR scanners, such as NIR-4250 or FOSS NIRSystem 5000 are considered in the article. It was found that when creating calibration equations, it is most correct to set for each amino acid its mass content (g per 100 g of protein), and not the relative portion (in %).

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