Rapid detection of quality of Japanese fermented soy sauce using near-infrared spectroscopy

2020 ◽  
Vol 12 (18) ◽  
pp. 2347-2354 ◽  
Author(s):  
Shuo Wang ◽  
Takehiro Tamura ◽  
Nobuyuki Kyouno ◽  
Xiaofang Liu ◽  
Han Zhang ◽  
...  
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Rapid Detection ◽  
Near Infrared ◽  
Control Method ◽  
Nir Spectroscopy ◽  
Soy Sauce ◽  
Quality Control Method ◽  
Robust Model

The application of NIR spectroscopy has great potential as an alternative quality control method, which provides a robust model for routinely estimating the final quality of soy sauce production rapidly and economically.

scholarly journals Textile Recognition and Sorting for Recycling at an Automated Line Using Near Infrared Spectroscopy

Recycling ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 11
Author(s):  
Kirsti Cura ◽  
Niko Rintala ◽  
Taina Kamppuri ◽  
Eetta Saarimäki ◽  
Pirjo Heikkilä
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Automated Recognition ◽  
Textile Materials ◽  
Input Material ◽  
Adequate Quality ◽  
Automated Line

In order to add value to recycled textile material and to guarantee that the input material for recycling processes is of adequate quality, it is essential to be able to accurately recognise and sort items according to their material content. Therefore, there is a need for an economically viable and effective way to recognise and sort textile materials. Automated recognition and sorting lines provide a method for ensuring better quality of the fractions being recycled and thus enhance the availability of such fractions for recycling. The aim of this study was to deepen the understanding of NIR spectroscopy technology in the recognition of textile materials by studying the effects of structural fabric properties on the recognition. The identified properties of fabrics that led non-matching recognition were coating and finishing that lead different recognition of the material depending on the side facing the NIR analyser. In addition, very thin fabrics allowed NIRS to penetrate through the fabric and resulted in the non-matching recognition. Additionally, ageing was found to cause such chemical changes, especially in the spectra of cotton, that hampered the recognition.

scholarly journals Based on PCI Software Day Draw Satellite is Projective Like Making Technology Discussed in This Paper

2018 ◽  
Vol 227 ◽  
pp. 02013
Author(s):  
Ming Zhao ◽  
Rui Wang ◽  
Yongming Xu ◽  
Xiaochun Xu
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Orthogonal Projection ◽  
Mass Production ◽  
Control Method ◽  
Quality Of Results ◽  
Quality Control Method ◽  
Software Production ◽  
Key Technologies

This article introduces the use of PCI software production day draw satellite is projective like production process, analyzes the key technologies in the production, summarizes the Suggestions to improve the quality of results, strengthen quality control method is proposed, for the day draw satellite orthogonal projection as mass production work has carried on the beneficial exploration.

scholarly journals The Quality Control of Tea by Near-Infrared Reflectance (NIR) Spectroscopy and Chemometrics

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Ming-Zhi Zhu ◽  
Beibei Wen ◽  
Hao Wu ◽  
Juan Li ◽  
Haiyan Lin ◽  
...  
Keyword(s):  
Quality Control ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Chemical Compositions ◽  
Infrared Reflectance ◽  
Near Infrared Reflectance ◽  
Control Quality ◽  
Tea Quality ◽  
Instrumental Technique

Tea is known to be one of the most popular beverages enjoyed by two-thirds of the world’s population. Concern of variability in tea quality is increasing among consumers. It is of great significance to control quality for commercialized tea products. As a rapid, noninvasive, and nondestructive instrumental technique with simplicity in sample preparation, near-infrared reflectance (NIR) spectroscopy has been proved to be one of the most advanced and efficient tools for the control quality of tea products in recent years. In this article, we review the most recent advances and applications of NIR spectroscopy and chemometrics for the quality control of tea, including the measurement of chemical compositions, the evaluation of sensory attributes, the identification of categories and varieties, and the discrimination of geographical origins. Besides, challenges and future trends of tea quality control by NIR spectroscopy are also presented.

scholarly journals Versatile Quality Control Methods for Nanopore Sequencing

2019 ◽  
Vol 15 ◽  
pp. 117693431986306
Author(s):  
Davide Bolognini ◽  
Roberto Semeraro ◽  
Alberto Magi
Keyword(s):  
Quality Control ◽  
Control Method ◽  
Nanopore Sequencing ◽  
Control Methods ◽  
Sequencing Data ◽  
Third Generation Sequencing ◽  
Quality Control Method ◽  
Sequencing Platforms ◽  
Generation Sequencing

Third-generation sequencing using nanopores as biosensors has recently emerged as a strategy capable to overcome next-generation sequencing drawbacks and pitfalls. Assessing the quality of the data produced by nanopore sequencing platforms is essential to decide how useful these may be in making biological discoveries. Here, we briefly contextualized NanoR, a quality control method for nanopore sequencing data we developed, in the scenario of preexistent similar tools. We also illustrated 2 quality control pipelines, readily applicable to nanopore sequencing data, respectively, based on NanoR and PyPore, a second quality control method published by our group.

scholarly journals Quality control of digital representations of manuscript texts: proposal of a standards-based method

2021 ◽  
Vol 5 (1) ◽  
pp. 27-44
Author(s):  
Jesús Robledano Arillo
Keyword(s):  
Quality Control ◽  
Digital Image ◽  
Control Method ◽  
Automated Analysis ◽  
Quality Model ◽  
Digital Representations ◽  
Quality Control Method ◽  
Physical Attributes ◽  
High Level

Abstract This study aims to propose a quality control method for digitized versions of manuscript documents that will be relevant for paleographical and codicological analysis. The methodology applied consisted of a systematic review of papers related to automated analysis of the physical characteristics of handwritings and document supports in the field of digital paleography, as well as of the numerous standards that have been emerging in the field of image engineering for quality assessment in digital image recordings. We also worked with a sample of 275 digital representations of pages or double pages of manuscript documentation dating to between the 12th and 17th centuries. As a result of this study, we propose a taxonomy of physical attributes of the handwritings and of their documentary supports that must be represented in the digital image with a high level of fidelity and without any distortions that could lead scholars to erroneous interpretations of the physical and formal characteristics of the original documents. On the basis of this taxonomy, we identified a set of typical distortions caused by digitization processes that can affect the recording quality of the physical attributes previously proposed, as well as a set of parameters and metrics for measuring quality that can be used to create a sufficiently exhaustive quality model. We also detected a series of limitations which, if not properly managed, can compromise the effectiveness of these types of controls.

Optimal Quality Control Based on Mascot and PTM Score Model for Phosphopeptides Identification

2014 ◽  
Vol 530-531 ◽  
pp. 185-188
Author(s):  
Xiao Zhou Chen
Keyword(s):  
Quality Control ◽  
Control Method ◽  
Database Searching ◽  
Phosphorylation Sites ◽  
Control Methods ◽  
Site Assessment ◽  
Quality Control Method ◽  
Score Model ◽  
Optimal Quality

There are currently various algorithms with mass spectrometry in phosphorylation identification. Some quality control methods have also been proposed. However, a detailed comparative analysis among various methods has not been reported. In the paper, based on the theory of forward-reverse databases searching, we compare current major algorithms in database searching and identification i.e Mascot and Sequest, and compare various aspects and methods of algorithms in site assessment. We propose an effictive quality control method. Our result shows that this method can ensure the quality of identification and identify more phosphorylation sites.

scholarly journals Assessing Trees, Wood and Derived Products with near Infrared Spectroscopy: Hints and Tips

2016 ◽  
Vol 24 (6) ◽  
pp. 485-505 ◽  
Author(s):  
Jakub Sandak ◽  
Anna Sandak ◽  
Roger Meder
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Early Career ◽  
Wood Products ◽  
Published Data ◽  
Genetic Traits ◽  
Vast Number

Wood is a renewable and valuable resource for a variety of end-use application areas. However, rapid and reliable assessments are needed to identify the quality of the tree, timber or wood product at all stages of production and processing. The ideal technology for assessing wood and wood products must provide reliable data, be user-friendly, cost-competitive and provide a rapid analysis. The ultimate application of near infrared (NIR) spectroscopy of wood or wood products is to substitute for costly and time-consuming reference measurements in order to aid process optimisation or determine properties and genetic traits on large numbers of individual samples. Increased interest in the application of NIR spectroscopy in various research fields including wood is observed nowadays. A vast number of publications highlight the potential of NIR spectroscopy for the characterisation of wood in a broad area of uses. The Journal of Near Infrared Spectroscopy has published two special issues on the application of NIR to forestry and wood research in 2010 and 2011 and a recent literature search yielded in excess of 556,000 results which can be easily found by using the search terms “NIR” and “wood”. This mass of published data may suggest that the technique of NIR spectroscopy is widely understood and broadly adopted by the timber industry, but even in recent papers it is evident that there is still a need to better understand the fundamental issues regarding sample selection and preparation, instrument choice, correct measurement and spectral interpretation. In this paper we draw on more than 40 years of collective experience and summarise state-of-the-art knowledge regarding instrumentation, spectral acquisition and data mining in regard to wood science and technology. The goal of this tutorial is two-fold: first, to inform early career wood scientists of the critical steps in utilising NIR spectroscopy to assess the quality of wood. Second, to alert managers to the level of operator skill required for the successful adoption of NIR technology. Some basic information is presented here, but due to the limited size of the manuscript, reference to more specific and detailed literature is provided in each section.

scholarly journals RESEARCH ON QUALITY CONTROL METHOD OF LAND COVER CLASSIFICATION DATA ORIENTED TO NATIONAL GEOGRAPHIC CONDITION MONITORING

2021 ◽  
Vol V-3-2021 ◽  
pp. 265-269
Author(s):  
W. J. Mao ◽  
H. T. Zhao ◽  
W. C. Gao ◽  
H. J. Tu ◽  
Y. M. Xu
Keyword(s):  
Quality Control ◽  
Land Cover ◽  
Control Method ◽  
Land Cover Classification ◽  
Production Quality ◽  
Production Quality Control ◽  
National Geographic ◽  
Quality Control Method ◽  
Classification Product

Abstract. Aiming at the quality problems of the land cover classification data, such as missing update of changed spots, overrun of spot collection accuracy, incorrect spot classification, and inconsistencies between the filling of the change types of map spots and technical regulations, had been found during the quality inspection of the national geographic condition monitoring in China. This paper analyzed the key production factors, processes and causes that affect the process quality of the land cover classification data, and proposed the concept of the whole production quality control, and discussed the quality control measures to improve the land cover classification product. The research based on the new requirements of the whole-process quality control system in order to solve the quality problem-oriented production quality control method, could improve the quality of land cover classification product and provided reference for the quality control of the production process of related engineering projects in the future.

Monitoring the Quality of Oils for Biodiesel Production Using Multivariate near Infrared Spectroscopy Models

2008 ◽  
Vol 16 (5) ◽  
pp. 445-454 ◽  
Author(s):  
Patrícia Baptista ◽  
Pedro Felizardo ◽  
José C. Menezes ◽  
M. Joana Neiva Correia
Keyword(s):  
Quality Control ◽  
Water Content ◽  
Vegetable Oils ◽  
Iodine Value ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Acid Number ◽  
Biodiesel Production ◽  
Least Squares Regression

Biodiesel is a mixture of fatty acid methyl esters, derived from vegetable oils or animal fats, which is usually produced by a transesterification reaction, where the oils or fats react with an alcohol in the presence of a catalyst. The quality of the oils used for biodiesel production strongly influences the final properties of biodiesel, namely its compliance to the European Standard. This work reports the use of near infrared (NIR) spectroscopy in the quality control of several oil properties, such as the iodine value, the water content and the acid number but, more importantly, the weight–weight percentages (wt%) of soybean, palm and rapeseed oil in mixtures. Principal component analysis was used to perform a qualitative analysis of the spectra, whereas partial least squares regression allowed the development of calibration models between analytical reference data and NIR spectra. The calibration ranges were 60–126 g I2 100 g−1 for the iodine value, 478–2500 mg kg−1 for the water content and 0.13-6.56 mg KOH g−1 for the acid number, whereas the validation errors were around 3.1 g I2 100 g−1, 111 mg kg−1 and 0.22 mg KOH g−1, respectively. The results obtained show that NIR spectroscopy is a promising technique to carry out the quality control of the commonly used vegetable oils for biodiesel production, namely the quality assurance and authenticity. Furthermore, it is of great value to have a simple, fast and reliable method to identify the composition of an oil mixture and/or some of its quality parameters, prior to storage or upon admission of a new lot of oil.

Sign in / Sign up

Export Citation Format

Share Document