scholarly journals FT-NIR Analysis of Intact Table Grape Berries to Understand Consumer Preference Driving Factors

Foods ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 98 ◽  
Author(s):  
Teodora Basile ◽  
Antonio Domenico Marsico ◽  
Maria Francesca Cardone ◽  
Donato Antonacci ◽  
Rocco Perniola
Keyword(s):  
Chemical Composition ◽  
Sensory Analysis ◽  
Near Infrared ◽  
Consumer Preference ◽  
Grape Berries ◽  
Sensory Data ◽  
Analysis Technique ◽  
Statistical Analysis Technique ◽  
Non Destructive ◽  
Maturity Parameters

Fourier-transform near infrared spectroscopy (FT-NIR) is a technique used in the compositional and sensory analysis of foodstuffs. In this work, we have measured the main maturity parameters for grape (sugars and acids) using hundreds of intact berry samples to build models for the prediction of these parameters from berries of two very different varieties: “Victoria” and “Autumn Royal”. Together with the chemical composition in terms of sugar and acidic content, we have carried out a sensory analysis on single berries. Employing the models built for sugars and acids it was possible to learn the sweetness and acidity of each berry before the destructive sensory analysis. The direct correlation of sensory data with FT-NIR spectra is difficult; therefore, spectral data were exported from the spectrometer built-in software and analyzed with R software using a statistical analysis technique (Spearman correlation) which allowed the correlation of berry appreciation data with specific wavelengths that were then related to sugar and acidic content. In this article, we show how it is possible to carry out the analysis of single berries to obtain data on chemical composition parameters and consumer appreciation with a fast, simple, and non-destructive technique with a clear advantage for producers and consumers.

Non-destructive determination of chemical composition in intact and minced pork using near-infrared hyperspectral imaging

2013 ◽  
Vol 138 (2-3) ◽  
pp. 1162-1171 ◽  
Author(s):  
Douglas F. Barbin ◽  
Gamal ElMasry ◽  
Da-Wen Sun ◽  
Paul Allen
Keyword(s):  
Chemical Composition ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Non Destructive

scholarly journals Analytical and sensory data correlation to understand consumers' grape preference

2019 ◽  
Vol 15 ◽  
pp. 01017
Author(s):  
T. Basile ◽  
R. Perniola ◽  
M.F. Cardone ◽  
A.D. Marsico ◽  
D. Antonacci
Keyword(s):  
Near Infrared ◽  
Prediction Models ◽  
Analytical Data ◽  
Nir Spectroscopy ◽  
Emerging Technology ◽  
Table Grape ◽  
Chemometric Methods ◽  
Sensory Data ◽  
Research Findings ◽  
Maturity Parameters

NIR spectroscopy is a rapid, economic and not destructive technique employed in food analysis. Concerning fresh table grape, the analysis is usually limited to juices, homogenates or skin extracts which usually give better NIR prediction models. Scanning of intact berries is challenging since each berry has specific features (berry shape, presence of superficial pigmentation, etc.) and, moreover, there are punctual variations even within the same berry. It would be of great interest to obtain information about maturity parameters and consumer's appreciation directly from intact berries, since it would save both time and money. In this article, near infrared (NIR) spectroscopy and chemometric methods have been employed to search for a correlation between sensory analysis and analytical data. The research findings show how it is possible to use a rapid, economic and not destructive emerging technology such as NIR spectroscopy to understand consumer's preference directly from intact berries.

Leader’s Perceptions on Family-Work Conflict of Subordinates Affecting Nomination and Promotion of Women Employees in Bali

2014 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Agung A. I. N. Marhaeni ◽  
I. Ketut Sudibia ◽  
I. G. A. P. Wirathi ◽  
Surya Dewi Rustariyuni
Keyword(s):  
Family Conflict ◽  
Work Family Conflict ◽  
Men And Women ◽  
Family Work ◽  
Female Employee ◽  
Analysis Technique ◽  
The Status ◽  
Statistical Analysis Technique ◽  
Work Family ◽  
Questionnaire Method

The purposes of this study were to determine the perception of leaders on work-family conflict among subordinates, the influence of the status or condition of subordinates and the influence of leader’s perceptions of work-family conflict experienced by subordinates against superior perceptions on the former nomination and promotion. The research was conducted in Denpasar, Badung, Gianyar, and in the Province of Bali. The respondents were the super-ordinates holding Echelon II, III, and IV both 40 men and women, with each having 1-3 subordinates, totaling 111 people. The method of sampling used was non-probability sampling, and data were collected via questionnaire method and interviews. Statistical analysis technique used was multiple linear regression. The results of the study showed among others that female employee has work-family conflict higher than male, the differing conditions have a significant effect on the perception of leaders on work-family conflict experienced by subordinates and such perceptions significantly influence the nomination and promotion of subordinates. As a result, the recommendations for the study include empowerment for both men and women, staff mobility as an important agenda in terms of the suitability of employees at work. Additionally, there should be active participation of the male-female employee in the domestic affair which can be accomplished jointly with husband-wife cooperation.

scholarly journals Research Note: Non-destructive Detection of Super Grade Chick Embryos or Hatchlings using Near-infrared Spectroscopy

2021 ◽  
pp. 101189
Author(s):  
Alin Khaliduzzaman ◽  
Ayuko Kashimori ◽  
Tetsuhito Suzuki ◽  
Yuichi Ogawa ◽  
Naoshi Kondo
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Research Note ◽  
Chick Embryos ◽  
Non Destructive

Ab Initio Two-sites Occupancy and Broadband Near-Infrared Emission of Cr3+ in Li2MgZrO4

2021 ◽  
Author(s):  
Xue Zhou ◽  
Jinmeng Xiang ◽  
Jiming Zheng ◽  
Xiaoqi Zhao ◽  
Hao Suo ◽  
...  
Keyword(s):  
Plant Growth ◽  
Ab Initio ◽  
Light Source ◽  
Near Infrared ◽  
Broad Band ◽  
Infrared Emission ◽  
Night Vision ◽  
Light Emitting ◽  
Non Destructive ◽  
Near Infrared Emission

Near-infrared (NIR) phosphor-converted light-emitting diodes (pc-LEDs) light source have great potential in non-destructive detection, promoting plant growth and night vision applications, while the discovery of a broad-band NIR phosphor still...

scholarly journals Cellular lensing and near infrared fluorescent nanosensor arrays to enable chemical efflux cytometry

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Soo-Yeon Cho ◽  
Xun Gong ◽  
Volodymyr B. Koman ◽  
Matthias Kuehne ◽  
Sun Jin Moon ◽  
...  
Keyword(s):  
Near Infrared ◽  
Single Cells ◽  
Microfluidic Channel ◽  
Human Monocyte ◽  
Cellular Heterogeneity ◽  
Label Free ◽  
Nanotube Array ◽  
Chemical Cytometry ◽  
Rich Information ◽  
Non Destructive

AbstractNanosensors have proven to be powerful tools to monitor single cells, achieving spatiotemporal precision even at molecular level. However, there has not been way of extending this approach to statistically relevant numbers of living cells. Herein, we design and fabricate nanosensor array in microfluidics that addresses this limitation, creating a Nanosensor Chemical Cytometry (NCC). nIR fluorescent carbon nanotube array is integrated along microfluidic channel through which flowing cells is guided. We can utilize the flowing cell itself as highly informative Gaussian lenses projecting nIR profiles and extract rich information. This unique biophotonic waveguide allows for quantified cross-correlation of biomolecular information with various physical properties and creates label-free chemical cytometer for cellular heterogeneity measurement. As an example, the NCC can profile the immune heterogeneities of human monocyte populations at attomolar sensitivity in completely non-destructive and real-time manner with rate of ~600 cells/hr, highest range demonstrated to date for state-of-the-art chemical cytometry.

scholarly journals Feasibility of Using VIS/NIR Spectroscopy and Multivariate Analysis for Pesticide Residue Detection in Tomatoes

Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 196
Author(s):  
Araz Soltani Nazarloo ◽  
Vali Rasooli Sharabiani ◽  
Yousef Abbaspour Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Mariusz Szymanek ◽  
...  
Keyword(s):  
Near Infrared ◽  
Cross Validation ◽  
Low Cost ◽  
Moving Average ◽  
Nir Spectroscopy ◽  
Control Treatment ◽  
Residue Detection ◽  
Non Destructive ◽  
Reflective Spectroscopy

The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide.

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