scholarly journals Rapid and Cost-Effective Quantification of Glucosinolates and Total Phenolic Content in Rocket Leaves by Visible/Near-Infrared Spectroscopy

Molecules ◽  
2017 ◽  
Vol 22 (5) ◽  
pp. 851 ◽  
Author(s):  
Eva Toledo-Martín ◽  
Rafael Font ◽  
Sara Obregón-Cano ◽  
Antonio De Haro-Bailón ◽  
Myriam Villatoro-Pulido ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Total Phenolic Content ◽  
Near Infrared ◽  
Phenolic Content ◽  
Cost Effective ◽  
Total Phenolic

scholarly journals Infrared Spectroscopy for the Quality Assessment of Habanero Chilli: A Proof-of-Concept Study

2021 ◽  
Vol 8 (1) ◽  
pp. 19
Author(s):  
Joel B. Johnson ◽  
Janice S. Mani ◽  
Mani Naiker
Keyword(s):  
Infrared Spectroscopy ◽  
Infrared Spectra ◽  
Total Phenolic Content ◽  
Dry Matter ◽  
Near Infrared ◽  
Phenolic Content ◽  
Matter Content ◽  
Total Phenolic ◽  
Dry Matter Content ◽  
Near Infrared Spectra

Habanero chillies (Capsicum chinense cv Habanero) are a popular species of hot chilli in Australia, with their production steadily increasing. However, there is limited research on this crop due to its relatively low levels of production at present. Rapid methods of assessing fruit quality could be greatly beneficial both for quality assurance purposes and for use in breeding programs or experimental growing trials. Consequently, this work investigated the use of infrared spectroscopy for predicting dry matter content, total phenolic content and capsaicin/dihydrocapsaicin content in 20 Australian Habanero chilli samples. Near-infrared spectra (908–1676 nm) taken from the fresh fruit showed strong potential for the estimation of dry matter content, with an R2cv of 0.65 and standard error of cross-validation (SECV) of 0.50%. A moving-window partial least squares regression model was applied to optimise the spectral window used for dry matter content prediction, with the best-performing window being between 1224 and 1422 nm. However, the near-infrared spectra could not be used to estimate the total phenolic content or capsaicin/dihydrocapsaicin content of the samples. Mid-infrared spectra (4000–400 cm−1) collected from the dried, powdered material showed slightly more promise for the prediction of total phenolics and the ratio of capsaicin-to-dihydrocapsaicin, with an R2cv of 0.45 and SECV of 0.32 for the latter. The results suggest that infrared spectroscopy may be able to determine dry matter content in Habanero chilli with acceptable accuracy, but not the capsaicinoid or total phenolic content.

scholarly journals Quantification of Total Phenolic and Carotenoid Content in Blackberries (Rubus Fructicosus L.) Using Near Infrared Spectroscopy (NIRS) and Multivariate Analysis

Molecules ◽  
2018 ◽  
Vol 23 (12) ◽  
pp. 3191 ◽  
Author(s):  
Eva Toledo-Martín ◽  
María García-García ◽  
Rafael Font ◽  
José Moreno-Rojas ◽  
María Salinas-Navarro ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Reference Data ◽  
Phenolic Content ◽  
External Validation ◽  
Carotenoid Content ◽  
Total Phenolic ◽  
Total Carotenoid Content ◽  
Calibration Models

A rapid method to quantify the total phenolic content (TPC) and total carotenoid content (TCC) in blackberries using near infrared spectroscopy (NIRS) was carried out aiming to provide reductions in analysis time and cost for the food industry. A total of 106 samples were analysed using the Folin-Ciocalteu method for TPC and a method based on Ultraviolet-Visible Spectrometer for TCC. The average contents found for TPC and TCC were 24.27 mg·g−1 dw and 8.30 µg·g−1 dw, respectively. Modified partial least squares (MPLS) regression was used for obtaining the calibration models of these compounds. The RPD (ratio of the standard deviation of the reference data to the standard error of prediction (SEP)) values from external validation for both TPC and TCC were between 1.5 < RPDp < 2.5 and RER values (ratio of the range in the reference data to SEP) were 5.92 for TPC and 8.63 for TCC. These values showed that both equations were suitable for screening purposes. MPLS loading plots showed a high contribution of sugars, chlorophyll, lipids and cellulose in the modelling of prediction equations.

scholarly journals High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Lilha M. B. Santos ◽  
Mathijs Mutsaers ◽  
Gabriela A. Garcia ◽  
Mariana R. David ◽  
Márcio G. Pavan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Aedes Aegypti ◽  
Near Infrared Spectroscopy ◽  
Field Data ◽  
Near Infrared ◽  
Wild Population ◽  
Infection Type ◽  
Cost Effective ◽  
Full Capacity ◽  
Arbovirus Surveillance

AbstractDeployment of Wolbachia to mitigate dengue (DENV), Zika (ZIKV) and chikungunya (CHIKV) transmission is ongoing in 12 countries. One way to assess the efficacy of Wolbachia releases is to determine invasion rates within the wild population of Aedes aegypti following their release. Herein we evaluated the accuracy, sensitivity and specificity of the Near Infrared Spectroscopy (NIRS) in estimating the time post death, ZIKV-, CHIKV-, and Wolbachia-infection in trapped dead female Ae. aegypti mosquitoes over a period of 7 days. Regardless of the infection type, time post-death of mosquitoes was accurately predicted into four categories (fresh, 1 day old, 2–4 days old and 5–7 days old). Overall accuracies of 93.2, 97 and 90.3% were observed when NIRS was used to detect ZIKV, CHIKV and Wolbachia in dead Ae. aegypti female mosquitoes indicating NIRS could be potentially applied as a rapid and cost-effective arbovirus surveillance tool. However, field data is required to demonstrate the full capacity of NIRS for detecting these infections under field conditions.

scholarly journals Near Infrared Spectroscopy as a Green Technology for the Quality Prediction of Intact Olives

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1042
Author(s):  
Silvia Grassi ◽  
Olusola Samuel Jolayemi ◽  
Valentina Giovenzana ◽  
Alessio Tugnolo ◽  
Giacomo Squeo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Olive Oil ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Green Technology ◽  
Soluble Solids ◽  
Integrating Sphere ◽  
Total Phenolic ◽  
Handheld Device ◽  
Quality Design

Poorly emphasized aspects for a sustainable olive oil system are chemical analysis replacement and quality design of the final product. In this context, near infrared spectroscopy (NIRS) can play a pivotal role. Thus, this study aims at comparing performances of different NIRS systems for the prediction of moisture, oil content, soluble solids, total phenolic content, and antioxidant activity of intact olive drupes. The results obtained by a Fourier transform (FT)-NIR spectrometer, equipped with both an integrating sphere and a fiber optic probe, and a Vis/NIR handheld device are discussed. Almost all the partial least squares regression models were encouraging in predicting the quality parameters (0.64 < R2pred < 0.84), with small and comparable biases (p > 0.05). The pair-wise comparison between the standard deviations demonstrated that the FT-NIR models were always similar except for moisture (p < 0.05), whereas a slightly lower performance of the Vis/NIR models was assessed. Summarizing, while on-line or in-line applications of the FT-NIR optical probe should be promoted in oil mills in order to quickly classify the drupes for a better quality design of the olive oil, the portable and cheaper Vis/NIR device could be useful for preliminary quality evaluation of olive drupes directly in the field.

scholarly journals Rapid Diagnosis of HIV-1 virus by Near Infrared Spectroscopy: based on Partial least squares regression

2021 ◽  
Vol 271 ◽  
pp. 03067
Author(s):  
Xiaohong He ◽  
Zhihong Song ◽  
Haifei Shang ◽  
Silang Yang ◽  
Lujing Wu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
False Negative ◽  
Cost Effective ◽  
Rapid Diagnosis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Least Squares Regression ◽  
Early Screening ◽  
Hiv 1

Currently, the laboratory diagnostic tests available for HIV-1 viral infection are mainly based on serological testing which relies on enzyme-linked immunosorbent assay (ELISA) for blood HIV antigen detection and reverse transcription polymerase chain reaction (RT-PCR) for HIV specific RNA sequence identification. However, these methods are expensive and time-consuming, and suffer from false positive and/or false negative results. Thus, there is an urgent need for developing a cost effective, rapid and accurate diagnostic method for HIV-1 infection. In order to reduce the barriers for effective diagnosis, a near-infrared spectroscopy (NIR) method was used to detect the HIV-1 virus in human serum, specifically, three absorption peaks with dose-dependent at 1582nm, 1810nm and 2363nm were found by multiple FBiPLSR test analysis for HIV-nano and HIV-EGFP, but not for MLV. Therefore, we recommend the use of 1582nm, 1810nm and 2363nm as the characteristic spectrum peak, for early screening and rapid diagnosis of serum HIV.

scholarly journals To Divide or Not to Divide? A Case Report Using Near-Infrared Spectroscopy to Assist With Decision Making on Timing of Division of Forehead Flaps

2021 ◽  
Vol 7 ◽  
pp. 2513826X2110511
Author(s):  
Spencer Yakaback ◽  
Carmen Webb ◽  
Claire Temple-Oberle
Keyword(s):  
Infrared Spectroscopy ◽  
Oxygen Saturation ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Free Flaps ◽  
Cost Effective ◽  
Tissue Perfusion ◽  
Tissue Oxygen Saturation ◽  
Tissue Oxygen ◽  
Novel Device

Paramedian forehead flaps (PMFFs) are commonly performed procedures for the reconstruction of complex nasal defects and require multiple stages predicated on when the interpolated pedicle is no longer required to provide perfusion to the neo-nose. As the presence of the pedicle is disfiguring, the flap is therefore divided ideally as soon as safely possible, but that determination is challenging. Recently, a novel device that uses near-infrared spectroscopy (NIRS) to measure tissue oxygen saturation has been developed and may provide an accurate and cost-effective tool to assess tissue perfusion. Here we present the use of this technology in the management of 2 patients who underwent successful oncologic nasal reconstructions using PMFFs. Using the device as a clinical adjunct, we measured tissue oxygen saturation values in the flaps before and after pedicle division, which assisted us in deciding when to safely divide the flaps, as well as with post-division management, particularly when a low tissue oxygen saturation reading ultimately necessitated the use of nitroglycerine past to improve flap perfusion in one of our patients. Interestingly, the values we recorded corresponded well to previously published cut-off values for adequate tissue perfusion, which have to date only been reported for free flaps. To our knowledge, this is the first description of the use of NIRS in the division of PMFFs, which we overall found to be a useful and reliable adjunct to a clinical examination in assessing flap neovascularization.

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