The comprehensive sourcebook for modern NIR spectroscopy: A commentary on “Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications”

The instrumentation, methods and applications of near-infrared spectroscopy has advanced remarkably in the last decade, in which near-infrared spectroscopy has successfully progressed at multiple directions and faced new challenges. Thus, gaps inevitably appeared in the coverage provided by renowned and handy cornerstone textbooks focused on near-infrared spectroscopy that were published in the past. A demand grew in near-infrared spectroscopy community for a new state-of-the-art textbook. With aim to satisfy such need, a go-to-book for background theory, applications and tutorial “Near-Infrared Spectroscopy Theory, Spectral Analysis, Instrumentation, and Applications” was prepared. That full-scale project, edited by Yukihiro Ozaki, Christian Huck, Satoru Tsuchikawa and Søren B. Engelsen, comprises of 23 chapters contributed by scholars and practitioners pushing the frontier of near-infrared spectroscopy. The chapters scope on newly opened pathways, major breakthroughs in basic science and applications as well as revisit several other topics. The sourcebook is intended for a wide range of readers from graduate students to scientists and engineers in both academia and industry. In this article, we sketch the main features of the newly released sourcebook with aim to help the community members in deciding whether this book should find its place in their library.

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

Recycling ◽

10.3390/recycling6010011 ◽

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.

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Near-Infrared Spectroscopy for Monitoring Sternocleidomastoid Muscular Oxygenation during Isometric Flexion for Patients with Mild Nonspecific Neck Pain: A Pilot Study

Sensors ◽

10.3390/s20082197 ◽

2020 ◽

Vol 20 (8) ◽

pp. 2197

Author(s):

Chia-Chi Yang ◽

Po-Ching Yang ◽

Jia-Jin J. Chen ◽

Yi-Horng Lai ◽

Chia-Han Hu ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Neck Pain ◽

Near Infrared Spectroscopy ◽

Isometric Contraction ◽

Oxidative Metabolism ◽

Near Infrared ◽

Maximum Voluntary Isometric Contraction ◽

Clinical Scenarios ◽

Wide Range ◽

Asymptomatic Individuals

Since there is merit in noninvasive monitoring of muscular oxidative metabolism for near-infrared spectroscopy in a wide range of clinical scenarios, the present study attempted to evaluate the clinical usability for featuring the modulatory strategies of sternocleidomastoid muscular oxygenation using near-infrared spectroscopy in mild nonspecific neck pain patients. The muscular oxygenation variables of the dominant or affected sternocleidomastoid muscles of interest were extracted at 25% of the maximum voluntary isometric contraction from ten patients (5 males and 5 females, 23.6 ± 4.2 years) and asymptomatic individuals (6 males and 4 females, 24.0 ± 5.1 years) using near-infrared spectroscopy. Only a shorter half-deoxygenation time of oxygen saturation during a sternocleidomastoid isometric contraction was noted in patients compared to asymptomatic individuals (10.43 ± 1.79 s vs. 13.82 ± 1.42 s, p < 0.001). Even though the lack of statically significant differences in most of the muscular oxygenation variables failed to refine the definite pathogenic mechanisms underlying nonspecific neck pain, the findings of modulatory strategies of faster deoxygenation implied that near-infrared spectroscopy appears to have practical potential to provide relevant physiological information regarding muscular oxidative metabolism and constituted convincing preliminary evidences of the adaptive manipulations rather than pathological responses of oxidative metabolism capacity of sternocleidomastoid muscles in nonspecific neck patients with mild disability.

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.301-303.1093 ◽

2011 ◽

Vol 301-303 ◽

pp. 1093-1097 ◽

Cited By ~ 2

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.

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Near infrared spectroscopy as an alternative method for rapid determination of the solidification point of 2,4,6-trinitrotoluene in production

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033519845080 ◽

2019 ◽

Vol 27 (4) ◽

pp. 286-292

Author(s):

Chongchong She ◽

Min Li ◽

Yunhui Hou ◽

Lizhen Chen ◽

Jianlong Wang ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Rapid Determination ◽

Nir Spectroscopy ◽

Principal Component ◽

Quality Parameter ◽

Solidification Point ◽

Fast Analysis ◽

Online Application

The solidification point is a key quality parameter for 2,4,6-trinitrotoluene (TNT). The traditional solidification point measurement method of TNT is complicated, dangerous, not environmentally friendly and time-consuming. Near infrared spectroscopy (NIR) analysis technology has been applied successfully in the chemical, petroleum, food, and agriculture sectors owing to its characteristics of fast analysis, no damage to the sample and online application. The purpose of this study was to study near infrared spectroscopy combined with chemometric methods to develop a fast and accurate quantitative analysis method for the solidification point of TNT. The model constructed using PLS regression was successful in predicting the solidification point of TNT ([Formula: see text] = 0.999, RMSECV = 0.19, RPDCa = 33.5, [Formula: see text] = 0.19, [Formula: see text] = 0.999). Principal component analysis shows that the model could identify samples from different reactors. The results clearly demonstrate that the solidification point can be measured in a short time by NIR spectroscopy without any pretreatment for the sample and skilled laboratory personnel.

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Accuracy of a Cerebral Oximeter in Healthy Volunteers under Conditions of Isocapnic Hypoxia

Anesthesiology ◽

10.1097/00000542-199801000-00011 ◽

1998 ◽

Vol 88 (1) ◽

pp. 58-65 ◽

Cited By ~ 78

Author(s):

Lindsey C. Henson ◽

Carolyn Calalang ◽

John A. Temp ◽

Denham S. Ward

Keyword(s):

Infrared Spectroscopy ◽

Oxygen Saturation ◽

Healthy Volunteers ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Cerebral Oxygenation ◽

Jugular Bulb ◽

Wide Range ◽

Cerebral Oximeter ◽

End Tidal

Background A cerebral oximeter measures oxygen saturation of brain tissue noninvasively by near infrared spectroscopy. The accuracy of a commercially available oximeter was tested in healthy volunteers by precisely controlling end-tidal oxygen (P[ET]O2) and carbon dioxide (P[ET]CO2) tensions to alter global cerebral oxygen saturation. Methods In 30 healthy volunteers, dynamic end-tidal forcing was used to produce step changes in P[ET]O2 resulting in arterial saturation ranging from approximately 70% to 100% under conditions of controlled normocapnia (each person's resting P[ET]CO2) or hypercapnia (resting plus 7-10 mmHg). Blood arterial (SaO2) and jugular bulb venous (S[jv]O2) saturations during each P(ET)O2 interval were determined by co-oximetry. The cerebral oximeter reading (rSO2) and an estimated jugular venous saturation (S[jv]O2), derived from a combination of SaO2 and rSO2, were compared with the measured S(jv)O2. Results The S(jv)O2 was significantly higher with hypercapnia than with normocapnia for the same SaO2. The rSO2 and S(jv)O2 were both highly correlated with S(jv)O2 for individual volunteers (mean r2 = 0.91 for each relation); however, the slopes and intercepts varied widely among volunteers. In three of them, the cerebral oximeter substantially underestimated the measured S(jv)O2. Conclusions During isocapnic hypoxia in healthy persons, cerebral oxygenation as estimated by near infrared spectroscopy precisely tracks changes in measured S(jv)O2 within individuals, but the relation exhibits a wide range of slopes and intercepts. Therefore the clinical utility of the device is limited to situations in which tracking trends in cerebral oxygenation would be acceptable.

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Seeing the light: NIR at the coalface (the inaugural Blakeney Address)

NIR news ◽

10.1177/0960336018782034 ◽

2018 ◽

Vol 29 (5) ◽

pp. 7-11

Author(s):

Peter Flinn

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Nir Spectroscopy ◽

Scientific Development ◽

Unique Contribution ◽

Learned Societies ◽

To Receive ◽

Highly Cited

Anthony Bernard (Tony) Blakeney (1948–2015) made a unique contribution to near infrared (NIR) spectroscopy in Australia and to the development of the Australian Near Infrared Spectroscopy Group (ANISG). An eminent and highly cited grain scientist and carbohydrate chemist, in the 1980s he recognised that NIR-based analyses could aid the production of more and higher quality cereals. Tony was ANISG Treasurer from its inception in 1988 until 2015 and was recognised as a champion of learned societies and their importance in scientific development. This presentation is in honour of Tony’s achievements, and it is a great honour to receive the inaugural award in his name.

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Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials

Chemical Society Reviews ◽

10.1039/c4cs00062e ◽

2014 ◽

Vol 43 (24) ◽

pp. 8200-8214 ◽

Cited By ~ 219

Author(s):

Marena Manley

Keyword(s):

Infrared Spectroscopy ◽

Hyperspectral Imaging ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Nir Spectroscopy ◽

Biological Materials ◽

Destructive Analysis ◽

Non Destructive

Principles, interpretation and applications of near-infrared (NIR) spectroscopy and NIR hyperspectral imaging are reviewed.

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Near-infrared Spectroscopy of CK Vulpeculae: Revealing a Remarkably Powerful Blast from the Past

The Astrophysical Journal ◽

10.3847/2041-8213/abc885 ◽

2020 ◽

Vol 904 (2) ◽

pp. L23

Author(s):

D. P. K. Banerjee ◽

T. R. Geballe ◽

A. Evans ◽

M. Shahbandeh ◽

C. E. Woodward ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

The Past

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Near-Infrared Spectroscopy as a classification tool for agraz (Vaccinium meridionale Swartz)

DYNA ◽

10.15446/dyna.v87n213.82284 ◽

2020 ◽

Vol 87 (213) ◽

pp. 17-21

Author(s):

Nathalia María Forero-Cabrera ◽

Carolina Maria Sánchez-Sáenz

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Nir Spectroscopy ◽

Agricultural Products ◽

Maturity Stage ◽

New Techniques ◽

Classification Tool ◽

Suitable Technique

The importance of the selection and classification processes in the industry of agricultural products and the increase in the production of fruits make necessary the development and implementation of new techniques to efficiently perform these tasks. Techniques such as NIR spectroscopy have proved to have potential to accomplish this purpose. The aim of this research was to evaluate the performance of near infrared spectroscopy as a classification tool for agraz (Vaccinium meridionale Swartz), according to its state of maturity. In order to obtainthe classification models, the PCA and SIMCA methods were used. Results were obtained close to 100% accuracy in the classification for maturity stages 4 and 5 and between 81 and 90% for maturity stage 3. The NIR spectroscopy appears as a suitable technique for the classification of fruits of agraz according to their state of maturity.

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Application of Near Infrared Spectroscopy in the Analysis of Printing Color Detection

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.262.59 ◽

2012 ◽

Vol 262 ◽

pp. 59-64

Author(s):

Hong Wei Lu ◽

Hong He ◽

Jun Ji ◽

Guo Qiang Liu ◽

Ying Hu

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Nir Spectroscopy ◽

Partial Least Square ◽

Least Square ◽

Color Parameters ◽

Detection Model ◽

Color Detection ◽

Validation Set

For the fast and exact detection of printing color, we combine the near infrared (NIR) spectroscopy technique with partial least square (PLS) to build the detection model of printing color. Applying the 144 samples of spectral curve which obtained by the near infrared spectroscopy randomly separated into calibration set and validation set, and base on the 120 calibration set data to establish the prediction model of printing color by PLS, then this model is employed for predicting the color of the 24 validation set. The RMSEC of the 24 blocks’ color parameters L*, a*, b*, E are 0.73, 2.26, 3.03 and 1.09 respectively; The RMSEP are 0.97, 2.77, 3.57 and 1.34 respectively. Those results tell that the NIR spectrum and blocks’ color parameters L*, a*, b*, E could accurately establish a quantitative regression model, applying such model also can accurately predict unknown samples, and the results approximate to the original reference data. The use of near infrared spectroscopy to detect the printed matter nondestructively is feasible, and lays the foundation for the further analysis and establishment of printing chroma model.

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