样式: 排序: IF: - GO 导出 标记为已读
-
Enhancing quality control in emulsion-type sausage production: Predicting chemical composition of intact samples with near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-03-27 Pitiporn Ritthiruangdej, Kanithaporn Vangnai, Sumaporn Kasemsumran, Supapich Somboonying, Pimwaree Charoensin, Arisara Hiriotappa, Papawarin Lowleraha
This research actively explores the potential of near infrared spectroscopy (NIR) for analyzing the chemical composition of emulsion-type sausages, focusing on critical factors like residual nitrite, moisture, protein, and fat content. To establish robust and generalizable models, we utilized a dataset of 100 experimentally prepared sausages encompassing a wide range of pork back fat replacement levels
-
Near infrared spectroscopy for determination of moisture content in lyophilized formulation J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-03-27 Aruna Khanolkar, Pranita Pawale, Viraj Thorat, Bhaskar Patil, Gautam Samanta
A non-invasive near infrared (NIR) spectroscopic method was developed for the quantitative moisture determination in a lyophilized injection formulation. The calibration samples were prepared by exposing lyophilized samples at different temperatures and relative humidity. The samples from different scales and different process parameters were considered for adding robustness to the model. The NIR spectra
-
Quantitative analysis of the hexamethylenetetramine concentration in a hexamethylenetetramine–acetic acid solution using near infrared spectroscopy: A comprehensive study on preprocessing methods and variable selection techniques J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-03-26 Hui Chao, Shichuan Qian, Zhi Wang, Xin Sheng, Xinping Zhao, Zhiyan Lu, Xiaoxia Li, Yinguang Xu, Shaohua Jin, Lijie Li, Kun Chen
Hexamethylenetetramine (HA) is widely used as a raw material in the medical, chemical, industrial, and military industries, and the fast and quantitative analysis of HA is important for manufacturing processes in these fields. Owing to its efficiency, low cost, nondestructive testing, and convenience, near infrared (NIR) spectroscopy is a powerful technique for quantitatively analyzing the HA concentration
-
Transfer of near infrared calibration for gasoline octane number based on screening consistent wavelengths combined with direct standardization algorithm J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-02-17 Wang Honghong, Yuan Hui, Xiong Zhixin
In order to share multivariate calibration models of gasoline research octane number (RON) between different near infrared spectrometers, a novel calibration transfer method, namely combination of screening consistent wavelengths and direct standardization (SWCSS-DS) was proposed. Firstly, screening wavelengths with consistent and stable signals (SWCSS) between instruments was used to select the wavelengths
-
Improving feedstock quality control in formaldehyde-based resin and wood-based panel production through near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-01-23 Roberto Magalhães, Nádia T Paiva, João M Ferra, Fernão D Magalhães, F G Martins
To assure the quality control of industrial processes, it is important to adopt reproducible and efficient methodologies. Spectroscopic methods, such as near infrared (NIR), are a good option as they are fast and may be used to indirectly estimate multiple physicochemical properties. In this study, NIR spectra of key feedstock samples used in the production of formaldehyde-based resin and wood-based
-
A hyperspectral band selection algorithm for identifying high oleic acid peanuts J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-01-12 Hui Shao, Xingyun Li, Long Sun, Cheng Wang, Yuxia Hu
High oleic acid peanuts have higher oleic acid content and stronger oxidation stability than common peanuts, but their appearances are similar, which imposes difficulties for classifying. Based on this, the study aims to classify high oleic acid peanut to ensure its purity by using hyperspectral imaging technology. However, classification accuracy and efficiency are limited given the large amount of
-
Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2024-01-10 Rahul Sreekumar, Nanjappa Ashwath, Daniel Cozzolino, Kerry Walsh
This study was conducted to evaluate the ability of near infrared (NIR) spectroscopy to estimate oil content, and per cent of cake, resin and residue in beauty leaf tree ( Calophyllum inophyllum L.) kernel samples. Fruits were collected from various geographical locations of tropical Australia (from Rockhampton to Darwin) and air dried before the kernels were manually separated from the fruits. Kernel
-
Use of hyperspectral chemical imaging to determine the age of milled rice post harvest J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-04-28 Nuchjira Jindagul, Yuranan Bantadjan, Montip Chamchong
The main goal of this study was to predict the age-after-harvest of milled rice and classify it for stale or fresh rice during storage by determining the thiobarbituric acid (TBA) value non-destruc...
-
Development of a quantitative method to evaluate the printability parameters of water-based ink using visible and near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-02-20 Yongli Bai, Xinguo Huang, Nan Peng, Shanshan Zhang, Yunfei Zhong
Water-based inks are widely used in green packaging and printing. The printability parameters of water-based inks, such as viscosity (alcohol concentration (AC)) and color (toning additive concentr...
-
Near infrared spectroscopy for the identification of live anurans: Towards rapid and automated identification of species in the field J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-02-20 Kelly Torralvo, Flávia Durgante, Celio Pasquini, William E Magnusson
In megadiverse regions, such as the Amazon, the identification of species generally requires specialists that are often not available. Therefore, the use of new species-recognition tools is necessa...
-
Nutritional labelling of food products purchased from online retail outlets: screening of compliance with European Union tolerance limits by near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-02-20 Marco Bragolusi, Alessandra Tata, Andrea Massaro, Carmela Zacometti, Roberto Piro
Nutritional information provided on food labels can impact healthy dietary decisions of consumers. The accuracy of the information provided is of paramount importance to guide consumers’ food choic...
-
Near infrared spectroscopy discriminates glutinous and non-glutinous sorghum using an approach based on typical samples and direct calibration J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-02-08 Han Liu, Hubin Liu, Yao Fang, Ning Zhang, Yuhui Yuan, Longlian Zhao, Junhui Li
Sorghum has a long history of cultivation and is an important food and economic crop. It can be divided into glutinous and non-glutinous varieties according to the starch structure and content. Rap...
-
Quantitative and qualitative prediction of sulfur content in diesel by near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-02-07 Quan Zheng, Hua Huang, ShiPing Zhu, BaoHua Qi, Xin Tang
This study explored the application of near infrared spectroscopy for quantitative and qualitative prediction of sulfur content in diesel fuel in the range of 10.3–1038.0 mg kg−1. The original spec...
-
Leaf-based species classification of hybrid cherry tomato plants by using hyperspectral imaging J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-01-26 Songhao Li, Huilin Wu, Jing Zhao, Yu Liu, Yunpeng Li, Houcheng Liu, Yiting Zhang, Yubin Lan, Xinglong Zhang, Yutao Liu, Yongbing Long
Approaches based on near infrared hyperspectral imaging (NIR-HSI) technology combined with machine learning have been developed to classify the leaves of hybrid cherry tomatoes and then identify th...
-
Analysis of alkaloids and reducing sugars in processed and unprocessed tobacco leaves using a handheld near infrared spectrometer J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2023-01-16 Miguel S Castillo, Juan J Acosta, Gary R Hodge, Matthew C Vann, Ramsey S Lewis
Near infrared (NIR) spectroscopy calibration models were developed to predict chemical properties of flue-cured tobacco (Nicotiana tabacum L.) leaf samples using a microPHAZIRTM handheld NIR spectr...
-
A chemometric method for the viability analysis of spinach seeds by near infrared spectroscopy with variable selection using successive projections algorithm J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-12-13 Madan Kumar Lakshmanan, Birte Boelt, René Gislum
This paper proposes a chemometric method for evaluating the viability of spinach seeds using near infrared (NIR) spectroscopy and successive projections algorithms (SPA). An essential step of the p...
-
Predicting sugarcane quality using a portable visible near infrared spectrometer and a benchtop near infrared spectrometer J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-11-30 Kittipon Aparatana, Yumika Naomasa, Morito Sano, Kenta Watanabe, Muneshi Mitsuoka, Masami Ueno, Yoshinobu Kawamitsu, Eizo Taira
Sugar quality (Brix and Pol) is the key index to evaluate the value of sugarcane. Hence, a rapid, accurate, and time-efficient method is needed to determine the sugar quality. This study develops a...
-
A diffuse reflectance portable near infrared spectroscopy system for the determination of biuret content in urea fertilizer J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-11-28 Jing Liu, Shaohui Yu, Shupeng Hu, Ziyang Ling, Jiguang Gao, Binmei Liu, Lixiang Yu, Yang Yang, Ye Yang, Qi Wang, Xiaoyu Ni, Liping Zhao, Yuejin Wu
Simple, rapid, and reliable determination of the biuret content in urea fertilizer is very important for the development of fertilizer industry. A near infrared diffuse reflectance measurement syst...
-
Design of a miniaturized frequency domain near infrared spectroscopy instrument with validation in solid phantoms and human tissue J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-11-02 Alper Kılıç, Yun Miao, Valencia Koomson
Hemoglobin is one of the most important chromophores in the human body, since oxygen is carried to the tissue by binding with the hemoglobin. Therefore measuring the concentrations of oxy-hemoglobi...
-
Rapid recognition of different sources of methamphetamine drugs based on hand-held near infrared spectroscopy and multi-layer-extreme learning machine algorithms J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-25 Jianqiang Zhang, Jun Yang, Jin Chen, Junxun Hu, Shuangyan Yang
The rapid recognition of the sources of the drugs can provide valuable clues and provide the basis for determining the nature of a drug case. Here, a novel recognition method was put forward to ide...
-
Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 1. Generalised theory of sampling J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-21 Kim H Esbensen, Nawaf Abu-Khalaf
Non-representative sampling of materials, lots and processes intended for near infrared (NIR) analysis is often contributing hidden additions to the full Measurement Uncertainty (MUtotal = TSE + TA...
-
A useful quantitative model for determining the optical purity of praziquantel enantiomers based on near infrared spectroscopy with partial least squares J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-13 Fei Teng, Jianbo Ji, Yue Yang, Haina Wang
In this study, a new method was developed for the determination of praziquantel (PZQ) enantiomers in solution. Praziquantel, as a highly effective and low-toxic broad-spectrum antiparasitic drug de...
-
Monitoring the physical state of wood during multiple tensile load-unload cycles by the eigenvalue distribution of near infrared spectra J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-10 Takaaki Fujimoto
Wood is a typical viscoelastic material that shows a clear mechanical hysteresis loop during cyclic loading, which implies the irreversibility of the process and is important for the processing and...
-
Near infrared spectroscopy for blend uniformity monitoring: An innovative qualitative application based on the coefficient of determination J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-05 Yves Roggo, Lizbeth Martinez, Antonio Peinado, Sanni Matero
Blending process is a critical unit operation in the pharmaceutical industry during the solid dosage form production. Near infrared (NIR) spectroscopy is a powerful analytical tool to assess the bl...
-
Before reliable near infrared spectroscopic analysis - the critical sampling proviso. Part 2: Particular requirements for near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-04 Kim H Esbensen, Nawaf Abu-Khalaf
Non-representative sampling of materials, lots and processes intended for NIR analysis is often fraught with hidden contributions to the full Measurement Uncertainty MUtotal = TSE + TAENIR. The Tot...
-
Test of a light emitting diode fully integrated pre-prototype spectrometer for rapid evaluation of table tomato (Solanum lycopersicum L., Marinda F1) quality J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-03 Alessio Tugnolo, Alessia Pampuri, Valentina Giovenzana, Andrea Casson, Riccardo Guidetti, Roberto Beghi
The present research aims to evaluate the performance of an optical pre-prototype based on light emitting diode, (450–860 nm) to quantify table tomatoes’ quality features in a rapid and non-destruc...
-
Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-10-02 Abd Rahim Othman, Sharifuddin Md Zain, Kah Hin Low
It is essential to control the quality of diesel products so that they comply with relevant fuel specifications, however, the quality assessments rely upon conventional wet chemical analyses that a...
-
Non-destructive evaluation of strength and stiffness of Eucalyptus pellita. A comparison of near infrared spectroscopy and acoustic wave velocity assessment J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-09-06 Yani Japarudin, Roger Meder, Mahadir Lapammu, Agustan Alwi, Mark Brown
Tree improvement programmes benefit from measured data for multiple phenotypes in order to potentially gain maximum genetic leverage for selection. Diameter at breast height, tree height and tree f...
-
Transfer of a calibration model for the prediction of lignin in pulpwood among four portable near infrared spectrometers J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-08-04 Xiaoxue Zhang, Xinyu Chen, Zhixin Xiong, Heinz W Siesler, Long Liang
In order to reduce the time and cost for near infrared (NIR) model development and maintenance, the transfer of NIR spectra measured on four different portable spectrometers (one master and three t...
-
Discrimination of Gonipterini weevil genera using near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-08-03 Joel B Johnson
This proof-of-concept study aimed to investigate the potential of using near infrared (NIR) spectroscopy to discriminate between genera of Gonipterini weevil. NIR spectra (10,000–4,000 cm−1) were c...
-
Determination of ash content in silicon dioxide filled epoxy-phenolic prepreg using near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-07-20 Yi-Hui Wu, Dan Li
This paper presents an application of near infrared spectroscopy associated with partial least squares regression calibration, for ash content analysis of prepreg in the manufacturing progress of c...
-
Use of wavelength interaction terms to improve near infrared spectroscopy models of donkey milk properties J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-07-18 Giuseppe Altieri, Mahdi Rashvand, Orkhan Mammadov, Attilio Matera, Francesco Genovese, Giovanni Carlo Di Renzo
Ranchers are continuously searching for suitable tools to rapidly and inexpensively assess the characteristics of donkey milk and because spectroscopic models are useful to assess the composition o...
-
Near infrared spectroscopy calibration strategies to predict multiple nutritional parameters of pasture species from different functional groups J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-07-18 Karen LM Catunda, Amber C Churchill, Sally A Power, Ben D Moore
Near infrared reflectance (NIR) spectroscopy has been used by the agricultural industry as a rapid and inexpensive technique to quantify nutritional chemistry in plants. The aim of this study was t...
-
Metaheuristic algorithms in visible and near infrared spectra to detect excess nitrogen content in tomato plants J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-05-29 Raziyeh Pourdarbani, Sajad Sabzi, Mohammad H Rohban, Ginés García-Mateos, José Miguel Molina-Martínez, Jitendra Paliwal, Juan I Arribas
Chemical fertilizers are widely applied in agriculture to achieve high yield, enhance produce quality and build resistance to diseases; in our case the plant being tomato (Solanum lycopersicum L. v...
-
Fourier transform near infrared spectroscopy as a tool to predict spawning status in Alaskan fishes with variable reproductive strategies J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-05-22 Todd TenBrink, Sandra Neidetcher, Morgan Arrington, Irina Benson, Christina Conrath, Thomas Helser
Fourier-transform near infrared (FT-NIR) spectroscopy of ovarian tissue was used to predict maturity status of fish species with variable reproductive strategies collected at limited time periods o...
-
Performance evaluation of variable selection methods coupled with partial least squares regression to determine the target component in solid samples J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-05-12 Na Zhao, Zhisheng Wu, Chunying Wu, Shuyu Wang, Xueyan Zhan
Variable selection can improve the robustness and prediction accuracy of partial least squares (PLS) regression models and decrease the calculation time by selecting the optimal subset of variables...
-
Estimation of forage quality by near infrared reflectance spectroscopy in dallisgrass, Paspalum dilatatum, poir J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-29 Aylin C Oluk, Hatice Yucel, Feyza D Bilgin, Ugur Serbester
Dallisgrass (Paspalum dilatatum Poir.) is an economically important and widely cultivated forage crop for livestock feeding in the tropical, subtropical, and warm temperate regions because of good ...
-
Qualitative classification of Dendrobium huoshanense (Feng dou) using fast non-destructive hand-held near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-25 Fang Wang, Bin Jia, Jun Dai, Xiangwen Song, Xiaoli Li, Haidi Gao, Hui Yan, Bangxing Han
Because of the similar appearance and properties of different quality grades of the product, super Dendrobium huoshanense could be easily adulterated with first-grade D. huoshanense and second-grade D. huoshanense products, thereby affecting its clinical application and causing market distortion. In this study, a combination of hand-held near infrared spectroscopy and chemometrics was used to classify
-
Discrimination of centre composition in panned chocolate goods using nearinfrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-25 Joel B Johnson
Non-destructively identifying the centre composition of panned chocolate goods may be useful in quality assurance settings. However, no studies to date have investigated this topic. In this study, nearinfrared spectra (1000–2500 nm) were collected from chocolate-coated peanuts and chocolate-coated sultanas (n = 170 of each) in order to investigate the prospect of non-invasively detecting the composition
-
Investigating the water structures in reverse micelles by temperature-dependent near infrared spectroscopy combined with independent component analysis J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-22 Mian Wang, Yan Sun, Chaoshu Duan, Wensheng Cai, Xueguang Shao
Confined water has an important effect on the structural stability and biological activity of biomolecules. Reverse micelles (RM) are a good system for investigating the structure of water in confined environment. In this work, the structure of water in RMs with different water content (w0) was studied using near infrared spectra measured at different temperature. Independent component analysis was
-
Assessing the potential of a handheld visible-near infrared microspectrometer for sugar beet phenotyping J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-19 Belal Gaci, Silvia Mas Garcia, Florent Abdelghafour, Juliette Adrian, Fabienne Maupas, Jean-Michel Roger
Phenotyping is essential in the process of varietal selection. In the case of sugar beets, richness (g/100g), that is, sugar content, is the key information. The need to acquire this information in a rapid, non-destructive and cheap manner leads the sugar industry to look for portable solutions that enable the suitable field measurements. In this work, a low-cost handheld and narrow visible-NIR spectral
-
Hyperspectral imaging for classification of bulk grain samples with deep convolutional neural networks J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-04-18 Erik Schou Dreier, Klavs Martin Sorensen, Toke Lund-Hansen, Birthe Møller Jespersen, Kim Steenstrup Pedersen
Near Infrared hyperspectral imaging (HSI) offers a fast and non-destructive method for seed quality assessment through combining spectroscopy and imaging. Recently, convolutional neural networks (CNN) have shown to be promising tools for red-green-blue (RGB) image or spectral cereal classification. This paper describes the design and implementation of deep CNN models capable of utilizing both the spatial
-
Review of portable near infrared spectrometers: Current status and new techniques J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-03-09 Chenxi Zhu, Xiaping Fu, Jianyi Zhang, Kai Qin, Chuanyu Wu
Near infrared (NIR) spectroscopy is a non-destructive detection technology involving NIR spectral data acquisition and chemometric treatment. The use of an NIR spectrometer is evidently crucial in this regard; however, traditional benchtop NIR spectrometers considerably limit usage scenarios. Accordingly, the miniaturization of spectrometers with high level performance has become a research trend.
-
Prediction of formaldehyde and residual methanol concentration in formalin using near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-03-03 Roberto Magalhães, Nádia Paiva, João M Ferra, Fernão D Magalhães, Jorge M Martins, Luisa H Carvalho
Amino resins are produced by two main processes: the strong acid process and the alkaline-acid process. Both use formaldehyde and a base (e.g. sodium hydroxide) in their formulation. In this work, Forward Interval Partial Least Squares methodology was applied to create prediction models for the determination of the concentration of formaldehyde and residual methanol (that is present in the formaldehyde
-
Non-destructive near infrared spectroscopy externally validated using large number sets for creation of robust calibration models enabling prediction of apple firmness J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-02-28 Martina Marečková, Veronika Danková, Lubor Zelený, Pavol Suran
Non-invasive flesh firmness prediction using near infrared spectroscopy has been perfected and validated on three apple varieties. Three novel calibration models were developed following three year's of repeated large-scale sampling of stored commercial apple varieties ‘Gala’, ‘Red Jonaprince’ and ‘Jonagored’. The spectroscopic results were compared directly with those obtained using the invasive method
-
Development of a calibration model for near infrared spectroscopy using a convolutional neural network J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-02-25 Menghu Li, Tianhong Pan, Yang Bai, Qi Chen
Development of qualitative or quantitative models is essential to exploit the full potential of near infrared (NIR) spectroscopy. In tandem with one-dimensional convolutional neural network (1D-CNN), a data-driven model is developed using NIR spectroscopy to estimate organic contents. First, the 1D-CNN model is designed to capture the features of the NIR spectra by means of several convolutional and
-
Non-destructive detection of chilling injury in kiwifruit using a dual-laser scanning system with a principal component analysis - back propagation neural network J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-02-24 Zhen Wang, Rainer Künnemeyer, Andrew McGlone, Jason Sun, Jeremy Burdon, Michael J. Cree
As a physiological disorder, chilling injury in kiwifruit may develop when the fruit are stored for long periods at a low storage temperature of 0–1°C. Presence of the disorder, inconsistent with marketing requirements for high-quality fruit, may lead to substantial financial and reputational losses. Thus, early detection or removal of chill-damaged fruit is desirable. This study demonstrates a novel
-
A novel methodology for determining effectiveness of preprocessing methods in reducing undesired spectral variability in near infrared spectra J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-02-17 Jhon Buendia Garcia, Julien Gornay, Marion Lacoue-Negre, Silvia Mas Garcia, Jihane Er-Rmyly, Ryad Bendoula, Jean-Michel Roger
This study uses a novel analysis methodology based on the Hierarchical Clustering Analysis (HCA) to determine the effectiveness of different preprocessing methods in minimizing undesired spectral variability in near infrared spectroscopy due to both the consecutive and repetitive acquisition of the spectrum and the sample temperature. Nine preprocessing methods and different combinations of them were
-
Toward real time release testing of Shuxuening injection based on near infrared spectroscopy and accuracy profile J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-02-14 Xiaojie Ouyang, Shuyi Zhan, Min Tang, Shumei Wang, Shengwang Liang, Fei Sun
Real time release testing (RTRT) has been applied in the pharmaceutical process to ensure the high quality of finished products. Near infrared (NIR) spectroscopy is one of the primary analytical methods to implement RTRT. In this study, an NIR quantitative method was developed to determine the content of total flavonol glycosides in Shuxuening injection and validated by the accuracy profile approach
-
Rapid identification of the storage age of dried tangerine peel using a hand-held near infrared spectrometer and machine learning J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-01-18 Xin Zhang, Zhangming Gao, Yinglin Yang, Shaowei Pan, Jianwei Yin, Xiangyang Yu
Dried tangerine peel is a Chinese medicine with high medicinal value. The storage age is an important indicator of its medicinal value, so it is very significant to accurately identify the storage age of dried tangerine peel. Traditional physical and chemical analysis methods can be used to achieve this goal, but these methods are limited by their operability and convenience. Near infrared (NIR) spectroscopy
-
Pedometric tools for classification of southwestern Amazonian soils: A quali-quantitative interpretation incorporating visible-near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-01-12 Orlando CH Tavares, Tiago R Tavares, Carlos R Pinheiro Junior, Luciélio M da Silva, Paulo GS Wadt, Marcos G Pereira
The southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments, as well as for being a transition region with other two Brazilian biomes. In this study, the use of pedometric tools (the Algorithms for Quantitative Pedology (AQP) R package and diffuse reflectance spectroscopy)
-
Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-01-11 Nicholas T Anderson, Kerry B Walsh
Short wave near infrared (NIR) spectroscopy operated in a partial or full transmission geometry and a point spectroscopy mode has been increasingly adopted for evaluation of quality of intact fruit, both on-tree and on-packing lines. The evolution in hardware has been paralleled by an evolution in the modelling techniques employed. This review documents the range of spectral pre-treatments and modelling
-
Evaluation of Kraft pulp yield and syringyl/guaiacyl ratio from standing trees (Eucalyptus camaldulensis, E. urophylla, Leucaena leucocephala and Casuarina junghuhniana) using portable near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2022-01-10 Payyavula Ramadevi, Rathinam Kamalakannan, Ganapathy P Suraj, Deepak V Hegde, Mohan Varghese
Measurement of pulpwood traits from a standing tree has considerable advantage when screening large populations for tree selection. It reduces time and also eliminates requirements of transport, powdering, and storing the sample. This study describes estimation of Kraft pulp yield (KPY) in Eucalyptus camaldulensis, E. urophylla, Leucaena leucocephala, and Casuarina junghuhniana by portable NIR spectroscopy
-
Heat impact control in flash pasteurization by estimation of applied pasteurization units using near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-23 Barış Gün Sürmeli, Imke Weishaupt, Knut Schwarzer, Natalia Moriz, Jan Schneider
Pasteurization is a crucial processing method in the food industry to ensure the safety of consumables. A major part of contemporary pasteurization processes involves using flash pasteurizer systems, where liquids are pumped through a pipe system to heat them for a predefined time. Accurately monitoring the amount of heat treatment applied to a product is challenging. This monitoring helps ensure that
-
Near infrared spectroscopy and aquaphotomics evaluation of the efficiency of solar dehydration processes in pineapple slices J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-23 Tiziana MP Cattaneo, Maurizio Cutini, Alessandro Cammerata, Annamaria Stellari, Laura Marinoni, Carlo Bisaglia, Massimo Brambilla
Parallel transformation tests on pineapple slices using two micro drying plants (M1 and M2) operating with solar energy were carried out. Method M1 consisted of an active fan at the top, whose ventilation rate depended on the internal temperature. Method M2 had a continuously working fan at the bottom. The dehydration performance of these two micro-plants was compared by collecting spectra from pineapple
-
Nondestructive evaluation of the biogenic amine in crayfish (Prokaryophyllus clarkii) by nearinfrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-20 Yan Liu, Chao Wang, Zhenzhen Xia, Jiwang Chen
Biogenic amines are a group of nitrogen substances and widely adopted to assess the food safety, especially for the aquatic products. In China, crayfish (Prokaryophyllus clarkii) have become one of the most famous aquatic products and form a complete industrial value chain. To ensure the safety of the crayfish industrial chain, a rapid and nondestructive method for determining the biogenic amines of
-
Single kernel sorting of high and normal oleic acid peanuts using near infrared spectroscopy J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-19 Daniel J O’Connor, Roger Meder, Angelo Furtado, Robert J Henry, Graeme C Wright, Rao CN Rachaputi
Peanuts are known to contain nutrients that deliver cardiovascular and health benefits. One such compound is oleic acid, an omega-9 monounsaturated fatty acid, which occurs naturally in peanuts in the concentration range 40–55% m/m, while some varieties are known to contain oleic acid above 75% m/m. These high oleic peanuts have been shown to have cardiovascular health benefit by lowering lipid levels
-
Portable vibrational spectroscopic methods can discriminate between grass-fed and grain-fed beef J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-19 Cassius EO Coombs, Robert R Liddle, Luciano A González
The present study analysed the ability for portable near infrared reflectance (NIR) and Raman spectroscopy sensors to differentiate between grass-fed and grain-fed beef. Scans were made on lean and fat surfaces of 108 beef steak samples labelled as grass-fed (n = 54) and grain-fed (n = 54), with partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) used to develop
-
Geographical identification of Italian extra virgin olive oil by the combination of near infrared and Raman spectroscopy: A feasibility study J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-11-11 Marco Bragolusi, Andrea Massaro, Carmela Zacometti, Alessandra Tata, Roberto Piro
The potential of the combination of near infrared (NIR) spectroscopy and Raman spectroscopy to differentiate Italian and Greek extra virgin olive oil (EVOO) by geographical origin was evaluated. Near infrared spectroscopy and Raman fingerprints of both study groups (extra virgin olive oil from the two countries) were pre-processed, merged by low-level and mid-level data fusion strategies and submitted
-
Identification of lactic acid bacteria and rhizobacteria by ultraviolet-visible-near infrared spectroscopy and multivariate classification J. Near Infrared Spectrosc. (IF 1.8) Pub Date : 2021-10-04 Sylvain Treguier, Christel Couderc, Marjorie Audonnet, Leïla Mzali, Helene Tormo, Marie-Line Daveran-Mingot, Hicham Ferhout, Didier Kleiber, Cécile Levasseur-Garcia
The biological processes of interest to agro-industry involve numerous bacterial species. Lactic acid bacteria produce metabolites capable of fermenting food products and modifying their organoleptic properties, and plant-growth-promoting rhizobacteria can act as biofertilizers, biostimulants, or biocontrol agents in agriculture. The protocol of conventional techniques for bacterial identification