U.S. flag

An official website of the United States government

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PubAg

Main content area

You searched for: Subject "near-infrared spectroscopy" Remove constraint Subject: "near-infrared spectroscopy"
Start Over

Search

5,532  Search Results

« Previous | 1 - 20 of 5,532 |
Number of results to display per page

Search Results

1. Storage of wafer cookies: Assessment by destructive techniques, and non-destructive spectral detection methods

Author:
Chiara Cevoli; Andrea Evangelisti; Paolo Gradari; Angelo Fabbri
Source:
Journal of food engineering 2023 v.336 pp. 111209
ISSN:
0260-8774
Subject:
near-infrared spectroscopy,   etc   ; absorption; air; chocolate; color; cookies; cream; hardness; image analysis; shelf life; storage time; water activity; water content;     Show all 13 Subjects
Abstract:
... Wafer cookies combine two or more layers of wafer sheets with intermediate layers of cream filling and later coating with chocolate. During storage, wafer cookie quality, especially in terms of mechanical properties, is mainly affected by moisture migration from the cream or chocolate and moisture absorption from air. This study aimed to assess the storage of wafer cookies by destructive (water ac ...
DOI:
10.1016/j.jfoodeng.2022.111209

2. Predictions of multiple food quality parameters using near-infrared spectroscopy with a novel multi-task genetic programming approach

Author:
Yu Yang; Shangpeng Sun; Leiqing Pan; Min Huang; Qibing Zhu
Source:
Food control 2023 v.144 pp. 109389
ISSN:
0956-7135
Subject:
near-infrared spectroscopy,   etc   ; algorithms; data collection; evolution; food industry; food quality; food safety; models; prediction; quantitative analysis; regression analysis; system optimization;     Show all 12 Subjects
Abstract:
... In order to meet the increasing demand for food safety and quality, new methods for simultaneous and rapid determination of multiple food quality parameters (FQPs) are urgently needed in the food industry. Incorporating near-infrared (NIR) spectroscopy and spectral prediction model for rapid, repeatable, non-destructive, and low running costs quantitative analysis of FQPs is enjoying increasing po ...
DOI:
10.1016/j.foodcont.2022.109389

3. Neurobehavioral markers of food preference and reward in fasted and fed states and their association with eating behaviors in young Chinese adults

Author:
Yu Zhou; Pauline Oustric; Xiawen Li; Hao Zhu; Graham Finlayson; Chenglin Zhou
Source:
Food quality and preference 2023 v.103 pp. 104689
ISSN:
0950-3293
Subject:
near-infrared spectroscopy,   etc   ; appetite; cognition; food choices; food intake; food quality; lipid content; males; obesity; prefrontal cortex; public health; questionnaires; sweetness; test meals; variance; China;     Show all 16 Subjects
Abstract:
... Adverse neurobehavioral responses to food could be one of the contributing factors to obesity in China, which is a major public health issue. There is a need for methodologies to better understand the cognitive processes and neural mechanisms underlying eating behaviors. This study investigated neurobehavioral markers of food preference and reward in pre- and post-meal states, and their associatio ...
DOI:
10.1016/j.foodqual.2022.104689

4. Does Hypnotizability Affect Neurovascular Coupling During Cognitive Tasks?

Author:
Anas Rashid; Enrica Laura Santarcangelo; Silvestro Roatta
Source:
Physiology & behavior 2022 pp. 113915
ISSN:
0031-9384
Subject:
near-infrared spectroscopy,   etc   ; absorption; behavior; cognition; hemoglobin;     Show all 5 Subjects
Abstract:
... The susceptibility to hypnosis is a very pervasive psychophysiological trait characterized by different attentional abilities, information processing, and cardiovascular control. Since near infrared spectroscopy (NIRS) is a good index of neurovascular coupling, we used it during mental computation (MC) and trail making task (TMT) in 13 healthy low-to-medium (med-lows) and 10 healthy medium-to-high ...
DOI:
10.1016/j.physbeh.2022.113915

5. Convolutional Neural Networks for Estimating the Ripening State of Fuji Apples Using Visible and Near-Infrared Spectroscopy

Author:
Brahim Benmouna; Ginés García-Mateos; Sajad Sabzi; Ruben Fernandez-Beltran; Dolores Parras-Burgos; José Miguel Molina-Martínez
Source:
Food and bioprocess technology 2022 v.15 no.10 pp. 2226-2236
ISSN:
1935-5130
Subject:
near-infrared spectroscopy,   etc   ; apples; bioprocessing; neural networks;     Show all 4 Subjects
Abstract:
... The quality of fresh apple fruits is a major concern for consumers and manufacturers. Classification of these fruits according to their ripening stage is one of the most decisive factors in determining their quality. In this regard, the aim of this work is to develop a new method for non-destructive classification of the ripening state of Fuji apples using hyperspectral information in the visible ...
DOI:
10.1007/s11947-022-02880-7

6. Rapid determination of free amino acids and caffeine in matcha using near-infrared spectroscopy: A comparison of portable and benchtop systems

Author:
Qin Ouyang; Lihua Liu; Li Wang; Muhammad Zareef; Zhen Wang; Haoquan Li; Juan Yin; Quansheng Chen
Source:
Journal of food composition and analysis 2023 v.115 pp. 104868
ISSN:
0889-1575
Subject:
near-infrared spectroscopy,   etc   ; caffeine; food composition; prediction; shrinkage;     Show all 5 Subjects
Abstract:
... Matcha is gaining popularity around the globe, because of its worthy compositions and health benefits. This work proposed to predict free amino acids (FAA) and caffeine contents in matcha using a portable near-infrared (NIR) spectroscopy system combined with two different acquisition techniques (integrating sphere, IS; and fiber probe, FP) in comparison to a benchtop Fourier transform-NIR (FT-NIR) ...
DOI:
10.1016/j.jfca.2022.104868

7. Indirect Measurement of β-Glucan Content in Barley Grain with Near-Infrared Reflectance Spectroscopy

Author:
Roberta Ghizzoni; Caterina Morcia; Valeria Terzi; Alberto Gianinetti; Marina Baronchelli
Source:
Foods 2022 v.11 no.13 pp. -
ISSN:
2304-8158
Subject:
near-infrared spectroscopy,   etc   ; barley; cultivars; humans; models; spectrometers;     Show all 6 Subjects
Abstract:
... β-Glucan is a component of barley grains with functional properties that make it useful for human consumption. Cultivars with high grain β-glucan are required for industrial processing. Breeding for barley genotypes with higher β-glucan content requires a high-throughput method to assess β-glucan quickly and cheaply. Wet-chemistry laboratory procedures are low-throughput and expensive, but indirec ...
DOI:
10.3390/foods11131846

8. A Standard-Free Calibration Transfer Strategy for a Discrimination Model of Apple Origins Based on Near-Infrared Spectroscopy

Author:
Lisha Li; Bin Li; Xiaogang Jiang; Yande Liu
Source:
Agriculture (Basel) 2022 v.12 no.3 pp. -
ISSN:
2077-0472
Subject:
near-infrared spectroscopy,   etc   ; agriculture; chemometrics; models; prediction; wavelengths;     Show all 6 Subjects
Abstract:
... The nondestructive discrimination model based on near-infrared is usually established by detected spectra and chemometric methods. However, the inherent differences between instruments prevent the model from being used universally, and calibration transfer is often used to solve these problems. Standard-sample calibration transfer requires additional standard samples to build a mathematical mappin ...
DOI:
10.3390/agriculture12030366

9. Optical techniques in non-destructive detection of wheat quality: A review

Author:
Lei Li; Si Chen; Miaolei Deng; Zhendong Gao
Source:
Grain & oil science and technology 2022 v.5 no.1 pp. 44-57
ISSN:
2590-2598
Subject:
near-infrared spectroscopy,   etc   ; databases; industrialization; oils; sensory evaluation; wheat;     Show all 6 Subjects
Abstract:
... Wheat quality detection is essential to ensure the safety of wheat circulation and storage. The traditional wheat quality detection methods mainly include artificial sensory evaluation and physicochemical index analysis, which are difficult to meet the requirements for high accuracy and efficiency in modern wheat quality detection due to the disadvantages of subjectivity, destruction of sample int ...
DOI:
10.1016/j.gaost.2021.12.001

10. Use of Artificial Neural Networks and NIR Spectroscopy for Non-Destructive Grape Texture Prediction

Author:
Teodora Basile; Antonio Domenico Marsico; Rocco Perniola
Source:
Foods 2022 v.11 no.3 pp. -
ISSN:
2304-8158
Subject:
near-infrared spectroscopy,   etc   ; chewiness; cohesion; grapes; hardness; prediction; texture;     Show all 7 Subjects
Abstract:
... In this article, a combination of non-destructive NIR spectroscopy and machine learning techniques was applied to predict the texture parameters and the total soluble solids content (TSS) in intact berries. The multivariate models obtained by building artificial neural networks (ANNs) and applying partial least squares (PLS) regressions showed a better prediction ability after the elimination of u ...
DOI:
10.3390/foods11030281

11. Monitoring the concentrations of Cd, Cu, Pb, Ni, Cr, Zn, Mn and Fe in cultivated Haplic Luvisol soils using near-infrared reflectance spectroscopy and chemometrics

Author:
S. Krzebietke; M. Daszykowski; H. Czarnik-Matusewicz; I. Stanimirova; L. Pieszczek; S. Sienkiewicz; J. Wierzbowska
Source:
Talanta 2023 v.251 pp. 123749
ISSN:
0039-9140
Subject:
near-infrared spectroscopy,   etc   ; Luvisols; chemometrics; least squares; models; prediction; reflectance;     Show all 7 Subjects
Abstract:
... This study illustrates the successful application of near-infrared reflectance spectroscopy extended with chemometric modeling to profile Cd, Cu, Pb, Ni, Cr, Zn, Mn, and Fe in cultivated and fertilized Haplic Luvisol soils. The partial least-squares regression (PLSR) models were built to predict the elements present in the soil samples at very low contents. A total of 234 soil samples were investi ...
DOI:
10.1016/j.talanta.2022.123749

12. Detection of apple varieties by near‐infrared reflectance spectroscopy coupled with SPSO‐PFCM

Author:
Qinyu Xu; Xiaohong Wu; Bin Wu; Haoxiang Zhou
Source:
Journal of food process engineering 2022 v.45 no.4 pp. e13993
ISSN:
0145-8876
Subject:
near-infrared spectroscopy,   etc   ; algorithms; apples; data collection; models; reflectance spectroscopy;     Show all 6 Subjects
Abstract:
... To accurately identify apple varieties on the assembly line and to improve the development of the apple quality detection, we proposed a possibilistic fuzzy c‐means (PFCM) algorithm based on similar particle swarm optimization (SPSO) for classifying near‐infrared spectroscopy (NIR) spectra. We took the objective function of PFCM as the fitness function of SPSO (SPSO‐PFCM), which reduced the depend ...
DOI:
10.1111/jfpe.13993

13. Extensive evaluation of prediction performance for 15 pork quality traits using large scale VIS/NIRS data

Author:
Xi Tang; Lei Xie; Siyi Liu; Zuoquan Chen; Lin Rao; Liqing Chen; Longyun Li; Shijun Xiao; Zhiyan Zhang; Lusheng Huang
Source:
Meat science 2022 v.192 pp. 108902
ISSN:
0309-1740
Subject:
near-infrared spectroscopy,   etc   ; longissimus muscle; models; pork quality; prediction; wavelengths;     Show all 6 Subjects
Abstract:
... Visible and near-infrared spectroscopy (VIS/NIRS) has been extensively used in the livestock and food industries to quantify meat quality. Here, we collected VIS/NIRS data of 1206 pigs longissimus muscle, measured the corresponding 15 meat quality traits, and used seven models to predict these meat quality traits. The prediction performances of 7 models varied among predicted traits, with the Rcᵥ² ...
DOI:
10.1016/j.meatsci.2022.108902

14. Intelligent Evaluation of Stone Cell Content of Korla Fragrant Pears by Vis/NIR Reflection Spectroscopy

Author:
Tongzhao Wang; Yixiao Zhang; Yuanyuan Liu; Zhijuan Zhang; Tongbin Yan
Source:
Foods 2022 v.11 no.16 pp. -
ISSN:
2304-8158
Subject:
near-infrared spectroscopy,   etc   ; algorithms; fruits; models; reflectance spectroscopy; regression analysis;     Show all 6 Subjects
Abstract:
... Stone cells are a distinctive characteristic of pears and their formation negatively affects the quality of the fruit. To evaluate the stone cell content (SCC) of Korla fragrant pears, we developed a Vis/NIR spectroscopy system that allowed for the adjustment of the illuminating angle. The successive projective algorithm (SPA) and the Monte Carlo uninformative variable elimination (MCUVE) based on ...
DOI:
10.3390/foods11162391

15. Fast determination of total solids content (TSC) and dry rubber content (DRC) of para rubber latex using near-infrared spectroscopy

Author:
Kanvisit Maraphum; Panupong Wanjantuk; Panawit Hanpinitsak; Sarun Paisarnsrisomsuk; Chin Hock Lim; Jetsada Posom
Source:
Industrial crops and products 2022 v.187 pp. 115507
ISSN:
0926-6690
Subject:
near-infrared spectroscopy,   etc   ; Hevea brasiliensis; latex; models; prediction; rubber; wavelengths;     Show all 7 Subjects
Abstract:
... A rapid measurement method of total soluble solids content (TSC) and dry rubber content (DRC) of para rubber latex (PRL) is required for trading and production control purposes. The objective of this study was to develop the TSC and DRC prediction model of a PRL sample based on the near-infrared (NIR) spectroscopy method. The samples were scanned using the transflectance method, wherein the effect ...
DOI:
10.1016/j.indcrop.2022.115507

16. Rapid age estimation of longnose skate (Raja rhina) vertebrae using near-infrared spectroscopy

Author:
Morgan B. Arrington; Thomas E. Helser; Irina M. Benson; Timothy E. Essington; Mary Elizabeth Matta; André E. Punt
Source:
Marine & freshwater research 2022 v.73 no.1 pp. 71-80
ISSN:
1323-1650
Subject:
near-infrared spectroscopy,   etc   ; Raja; age determination; freshwater; models; periodicity; research;     Show all 7 Subjects
Abstract:
... There is a paucity of age data for chondrichthyan fishes owing, in large part, to limitations in traditional age estimation methods. Fourier transform near-infrared (FT-NIR) spectroscopy has shown promise as an alternative, more efficient method for acquiring age data from chondrichthyans. However, studies are limited to sharks in the southern hemisphere. We explored FT-NIR spectroscopy to predict ...
DOI:
10.1071/MF21054

17. Powdery Food Identification Using NIR Spectroscopy and Extensible Deep Learning Model

Author:
Lei Zhou; Xuefei Wang; Chu Zhang; Nan Zhao; Mohamed Farag Taha; Yong He; Zhengjun Qiu
Source:
Food and bioprocess technology 2022 v.15 no.10 pp. 2354-2362
ISSN:
1935-5130
Subject:
near-infrared spectroscopy,   etc   ; bioprocessing; libraries; models; portable equipment; powdered foods;     Show all 6 Subjects
Abstract:
... Spectroscopy coupled with deep learning is widely studied for powdered food materials authentication, such as quality ranking and powder identification. However, the models need retraining when new categories are expected to be covered. We proposed a portable device for powder identification using metric learning. Six powders were used to train a deep learning feature extractor and establish a ref ...
DOI:
10.1007/s11947-022-02866-5

18. Feasibility of near infrared spectroscopy to classify lamb hamburgers according to the presence and percentage of cherry as a natural ingredient

Author:
Alberto Ortiz; Miriam Sánchez; Susana García-Torres; Lucía León; María Montaña López-Parra; Carmen Barraso; María Jesus Martín-Mateos; David Tejerina
Source:
Applied food research 2022 v.2 no.1 pp. 100069
ISSN:
2772-5022
Subject:
near-infrared spectroscopy,   etc   ; chemometrics; cherries; food research; ingredients; processed meat; traceability;     Show all 7 Subjects
Abstract:
... This study assesses the feasibility of Near Infrared Spectroscopy in combination with various spectral treatments and chemometric approaches, i.e. the Partial Least Squares-Discriminant Analysis and the Soft Independent Modelling of Class Analogies, for the onsite classification of lamb hamburgers according to the presence of cherry (presence/absence) as well as the percentage of cherry (2%, 6% an ...
DOI:
10.1016/j.afres.2022.100069

19. Identification of informative spectral ranges for predicting major chemical constituents in corn using NIR spectroscopy

Author:
Ali Fatemi; Vijay Singh; Mohammed Kamruzzaman
Source:
Food chemistry 2022 v.383 pp. 132442
ISSN:
0308-8146
Subject:
near-infrared spectroscopy,   etc   ; algorithms; computer software; corn; food chemistry; oils; starch;     Show all 7 Subjects
Abstract:
... Many studies have been conducted using NIR spectroscopy to predict corn constituents; however, a systematic investigation of the spectral sub-regions under the scope of overtones and combinations has not been performed. In this study, the corn spectra were divided into second overtones (1100–1388 nm), first overtones (1390–1852 nm), and combinations (1852–2498 nm). Then, using variable importance ...
DOI:
10.1016/j.foodchem.2022.132442
CHORUS:
10.1016/j.foodchem.2022.132442

20. Application of ensemble neural-network method to integrated sugar content prediction model for citrus fruit using Vis/NIR spectroscopy.

Author:
Sang-Yeon Kim; Suk-Ju Hong; Eungchan Kim; Chang-Hyup Lee; Ghiseok Kim
Source:
Journal of food engineering 2023 v.338 pp. 111254
ISSN:
0260-8774
Subject:
near-infrared spectroscopy,   etc   ; Citrus; citrus fruits; fruits; models; prediction; sugar content; sweetness;     Show all 8 Subjects
Abstract:
... As consumers’ preference for sweetness in food products is increasing, most agricultural product processing complexes currently operate sugar-screening machines. However, every season, the entire prediction models have to be modified to fit the fruit species cultivated that season using a long-drawn process, because separate models are required for each species. Therefore, in this study, species-i ...
DOI:
10.1016/j.jfoodeng.2022.111254