Application of a Portable near Infrared Spectrometer for the Manufacturing of Noodle Products

Kumegai, Masanori; Matsuur, Natsumi; Li, Hua; Ohisa, Naganori; Amano, Toshio; Ogawa, Norio

doi:10.1255/jnirs.417

Cited by 10 publications

(9 citation statements)

References 4 publications

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“…98 It was also used to determine the moisture content of noodles. 99 The texture of noodles is dependent on the type of wheat flour as well as on mixing ratios used to make them, while another study used spectroscopy to discriminate between noodle flours by describing the relationship between the NIR spectra and the chemical-analysis data. 98 Feedstock has also been analyzed using NIR spectroscopy.…”

Section: Applications In the Agro-food Industrymentioning

confidence: 99%

A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

et al. 2013

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Industry has created the need for a cost-effective and nondestructive quality-control analysis system. This requirement has increased interest in near-infrared (NIR) spectroscopy, leading to the development and marketing of handheld devices that enable new applications that can be implemented in situ. Portable NIR spectrometers are powerful instruments offering several advantages for nondestructive, online, or in situ analysis: small size, low cost, robustness, simplicity of analysis, sample user interface, portability, and ergonomic design. Several studies of on-site NIR applications are presented: characterization of internal and external parameters of fruits and vegetables; conservation state and fat content of meat and fish; distinguishing among and quality evaluation of beverages and dairy products; protein content of cereals; evaluation of grape ripeness in vineyards; and soil analysis. Chemometrics is an essential part of NIR spectroscopy manipulation because wavelength-dependent scattering effects, instrumental noise, ambient effects, and other sources of variability may complicate the spectra. As a consequence, it is difficult to assign specific absorption bands to specific functional groups. To achieve useful and meaningful results, multivariate statistical techniques (essentially involving regression techniques coupled with spectral preprocessing) are therefore required to extract the information hidden in the spectra. This work reviews the evolution of the use of portable near-infrared spectrometers in the agro-food industry.

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Section: Applications In the Agro-food Industrymentioning

confidence: 99%

A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

et al. 2013

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“…Kumagai et al could rapidly determine the protein, moisture, ash, fat, and carbohydrate content in raw wheat flours and manufactured noodles using a portable NIR spectrometer. The NIR spectrometer was equipped with an AOTF working in the 1,200-2,400 nm wavelength range [59]. He et al utilized, for the first time, a portable NIR spectrometer for analyzing tobacco leaf constituents [60].…”

Section: Current Research and Future Trendmentioning

confidence: 99%

Near-infrared spectroscopy and imaging in food quality and safety

Wang

Paliwal

2007

Sens. & Instrumen. Food Qual.

141

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Over the last two decades, near-infrared spectroscopy (NIRS) has established itself as a non-destructive analytical technique in a variety of disciplines. However, recent technological advancements in hardware design and data mining techniques have unleashed the potential of NIRS to become a tool of choice for routine analyses of agricultural products. The current paper synthesizes the status of NIRS in the agri-food industry in terms of hardware and software development as well as the direction in which the NIRS research is headed. An extensive review of literature reveals that the emphasis on hardware development is focused on developing compact, robust, and portable spectrometers and hyperspectral imaging (HSI) systems. The software development on the other hand is geared towards developing better preprocessing, analyses, and modeling techniques using chemometrics, support vector machines, and artificial neural networks. The four main agri-food sectors identified to be the beneficiaries of this research revolution are grain quality monitoring; postharvest handling of fruits and vegetables; identification of contaminants in animal produce and feed; and food safety and authenticity. Apart from discussing the aforementioned topics, the paper also provides food scientists some working knowledge on parameters crucial to the performance of spectral and imaging systems. It is expected that further development of NIRS will help agricultural and food scientists to enhance the quality and safety of our food.

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“…This wavelength region is used as a key wavelength in the Brix calibration for fruit. 16,17 The wavelength region is assignable to a substance related to carbohydrates. Therefore, these calibration models were considered to be suitable for cane stalk analysis and the RMSEP values of the two models were similar.…”

Section: Calibration Model For Pol Values In Juice and Stalk Samplesmentioning

confidence: 99%

“…At present, Pol values cannot be measured in the field by conventional methods. Commercially available portable NIR instruments have been used to measure the quality of mangoes, apples and other fruits [16][17][18] but, to date, no study has been conducted on a non-destructive measurement system for chemical components in sugarcane stalks. If a portable NIR instrument can be used to measure the Pol value of cane stalks directly, tangible data aiding farm management as well as harvest scheduling can be obtained.…”

Section: Introductionmentioning

confidence: 99%

Direct Sugar Content Analysis for Whole Stalk Sugarcane Using a Portable near Infrared Instrument

Taira

Ueno

Saengprachatanarug

et al. 2013

Journal of Near Infrared Spectroscopy

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Cane quality at the farm is important information for both farmers and millers when evaluating cane maturity and determining harvest schedules. We investigated the non-destructive measurement of the sugar content of cane stalks using a portable near infrared (NIR) instrument. A commercially available portable NIR instrument was modified for use in transmittance mode and employed to quantify Pol levels in cane stalks. Calibration models using a partial least squares regression analysis were developed for predicting Pol values from the juice and the cane sample spectra (600-1100 nm). Results of these calibrations, root mean square error of prediction for juice and cane samples, were 1.0% and 1.1% Pol, respectively. Based on the results of this study, the developed measurement method appears to be useful for monitoring cane quality and the planning of harvest schedules.

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Application of a Portable near Infrared Spectrometer for the Manufacturing of Noodle Products

Cited by 10 publications

References 4 publications

A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

Near-infrared spectroscopy and imaging in food quality and safety

Direct Sugar Content Analysis for Whole Stalk Sugarcane Using a Portable near Infrared Instrument

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