Application of near-infrared spectroscopy to agriculture and forestry

Tsuchikawa, Satoru; Ma, Tongmei; Inagaki, Toru

doi:10.1007/s44211-022-00106-6

Cited by 51 publications

(25 citation statements)

References 89 publications

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“…Another promising technique is NIR, which has been successful in the quality control of food and drug. As a non-destructive technique, NIR employs measurements of photon energy to obtain qualitative and quantitative information based on the interaction of the sample with NIR radiation [ 20 , 21 ]. It covers the wavelength range of 800–2500 nm and mainly reflects vibration information of hydrogen bonds in a molecular structure, such as carbon–hydrogen (C-H), oxygen–hydrogen (O-H), nitrogen–hydrogen (N-H) [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

Xia

Che²,

et al. 2023

Molecules

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A synergetic strategy was proposed to address the critical issue in the brand characterization of Colla corii asini (Ejiao, CCA), a precious traditional Chinese medicine (TCM). In all brands of CCA, Dong’e Ejiao (DEEJ) is an intangible cultural heritage resource. Seventy-eight CCA samples (including forty DEEJ samples and thirty-eight samples from other different manufacturers) were detected by laser-induced breakdown spectroscopy (LIBS) and near-infrared spectroscopy (NIR). Partial least squares discriminant analysis (PLS-DA) models were built first considering individual techniques separately, and then fusing LIBS and NIR data at low-level. The statistical parameters including classification accuracy, sensitivity, and specificity were calculated to evaluate the PLS-DA model performance. The results demonstrated that two individual techniques show good classification performance, especially the NIR. The PLS-DA model with single NIR spectra pretreated by the multiplicative scatter correction (MSC) method was preferred as excellent discrimination. Though individual spectroscopic data obtained good classification performance. A data fusion strategy was also attempted to merge atomic and molecular information of CCA. Compared to a single data block, data fusion models with SNV and MSC pretreatment exhibited good predictive power with no misclassification. This study may provide a novel perspective to employ a comprehensive analytical approach to brand discrimination of CCA. The synergetic strategy based on LIBS together with NIR offers atomic and molecular information of CCA, which could be exemplary for future research on the rapid discrimination of TCM.

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Section: Introductionmentioning

confidence: 99%

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

Xia

Che²,

et al. 2023

Molecules

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“…Both techniques give spectral sketches that express the chemical temperament of a sample. Three zones could be recognized in the infrared (IR) region: (1) the far IR (FIR, 400-10 cm À1 ,25-300 μm), (2) the mid-IR (MIR, 4000-400 cm À1 , 2.5-25 μm), and the near-IR (NIR, 14,000-4000 cm À1 , 0.7-2.5 μm) [16,[26][27][28]]. Yet, it is important to point out that each of the three regions has substantial applications in different fields.…”

Section: Introductionmentioning

confidence: 99%

“…Two major processes could be observed in the NIR region: molecular overtones and combination bands associated with hydrogen bonds. Yet, these spectral bands are of much weaker intensities compared to the fundamental vibrational bands, an issue that causes absence of the distinctive characteristics and anharmonicity [16,[26][27][28][29]. The NIR spectrometer is simple, speedy, portable, non-destructive, and of low cost and high throughput.…”

Section: Introductionmentioning

confidence: 99%

Application of Infrared Spectroscopy in the Characterization of Lignocellulosic Biomasses Utilized in Wastewater Treatment

El-Azazy¹,

El-Shafie²,

Al‐Saad³

2023

Infrared Spectroscopy - Perspectives and Applications

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Global economies are confronting major energy challenges. Mitigating the energy depletion crisis and finding alternative and unconventional energy sources have been subjects for many investigations. Plant-sourced biomasses have started to attract global attention as a renewable energy source. Maximizing the performance of the biomass feedstock in different applications requires the availability of reliable and cost-effective techniques for characterization of the biomass. Comprehending the structure of lignocellulosic biomass is a very important way to assess the feasibility of bond formation and functionalization, structural architecture, and hence sculpting of the corresponding structure−property liaison. Over the past decades, non-invasive techniques have brought many pros that make them a valuable tool in depicting the structure of lignocellulosic materials. The current chapter will be focused on the applications of Fourier transform infrared (FTIR) spectroscopy especially in the mid-infrared region in the compositional and structural analysis of lignocellulosic biomasses. The chapter will provide a display of examples from the literature for the application of FTIR spectroscopy in finding the composition of various biomasses obtained from different parts of plants and applied for wastewater treatment. A comparison between biomasses and physically/chemically treated products will be discussed.

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“…Infrared (IR) spectroscopy is extensively used for chemical sensing and analysis in applications including medical diagnostics, pharmaceutics, gas sensing, and agriculture among others [1][2][3][4]. This is mostly accomplished by Fourier transform infrared (FTIR) spectroscopy due to its throughput and multiplexing advantages that boosts its signal-to-noise ratio (SNR).…”

Section: Introductionmentioning

confidence: 99%

A doubly-encoded single-pixel NIR Hadamard transform spectrometer using DMD

Lim

Chew

et al. 2023

MOEMS and Miniaturized Systems XXII

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In this paper, we present a doubly-encoded single-pixel Hadamard transform spectrometer that has its spectral resolution decoupled from its throughput. The proof-of-concept is designed in the 1500 nm to 1600 nm near-infrared (NIR) wavelength range and uses a digital micromirror device (DMD) in conjunction with a fixed mask for encoding. The proposed system can easily be extended to other infrared (IR) wavelengths to achieve maximum throughput and multiplexing advantage.

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Application of near-infrared spectroscopy to agriculture and forestry

Cited by 51 publications

References 89 publications

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

A Synergetic Strategy for Brand Characterization of Colla Corii Asini (Ejiao) by LIBS and NIR Combined with Partial Least Squares Discriminant Analysis

Application of Infrared Spectroscopy in the Characterization of Lignocellulosic Biomasses Utilized in Wastewater Treatment

A doubly-encoded single-pixel NIR Hadamard transform spectrometer using DMD

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