Portable Raman spectroscopy for an in-situ monitoring the ripening of tomato (Solanum lycopersicum) fruits

Trebolazabala, Josu; Maguregui, Maite; Morillas, Héctor; Diego, Alberto de; Madariaga, Juan Manuel

doi:10.1016/j.saa.2017.03.024

Cited by 61 publications

(48 citation statements)

References 24 publications

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“…Although the wavenumber at 1553 cm -1 could be identified and represented as either phytoene or phytofluene, the peak intensity at that particular wavenumber does not give a high value for it to be taken and considered as notable data. A similar behavior to identify the meaning of wavenumber at 1553 cm -1 had been observed by [16]. Therefore, it could be concluded that there are five significant peaks that show the molecular vibrational assignments that contribute to the ripening process of oil palm fruit.…”

Section: Resultssupporting

confidence: 74%

“…From Raman measurements performed on all the samples for this work, there are several notable wavenumber or Raman shift obtained. In [16] mentioned that the wavenumber at 870 cm -1 , 949 cm -1 , 999 cm -1 , 1007 cm -1 , 1149 cm -1 , 1184 cm -1 , 1209 cm -1 , 1269 cm -1 , 1277 cm -1 , 1310 cm -1 , 1510 cm -1 , 1524 cm -1 and 1553 cm -1 are all identified as chemical compound that came from the carotenoid family. He also mentioned that the bands around 1002 cm -1 and 1524 cm -1 are the key wavenumbers to determinate that the lutein is the principal carotenoid.…”

Section: Resultsmentioning

confidence: 99%

“…Raman spectroscopy is used frequently to analyze and identify the component make-up of a sample in many fields of study. Several studies for molecular or component detection conducted before include measurements on tomato ripeness [16] and citrus fruit freshness [17]. In this work, the aim is to identify and evaluate different organic compositions that contribute to the ripeness classification, and to develop a features extraction model for ripeness classification using the organic characteristic data collected in a controlled environment using Raman spectroscope.…”

Section: Introductionmentioning

confidence: 99%

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Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy

Dan

Hashim²,

Raj

et al. 2018

IJET

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The current practice in determining oil palm fresh fruit bunches (FFB) ripeness is by its colour which could be inaccurate. This study investigates the classification of oil palm FFB ripeness using Raman spectroscopy. A feature extraction model is developed based on the different organic compositions that contribute to the ripeness classification. Samples are collected according to the Malaysian Palm Oil Board (MPOB) standards which are unripe, underripe, ripe, overripe, and rotten. Different characteristics of the Raman shift were detected which represent the material composition for each sample. The Raman intensity of the oil palm fruit increases from unripe to ripe before decreasing to rotten due to the carotenoid content in the fruit. In conclusion, Raman spectroscopy is a suitable technique to observe the changes in the composition of oil palm fruit classified by its ripeness.

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Section: Resultssupporting

confidence: 74%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy

Dan

Hashim²,

Raj

et al. 2018

IJET

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“…Baranska, Schütze, and Schulz (2006) showed that FTIR may be a fast and nondestructive characterization method for lycopene quantification. This method was subsequently improved through its combination with ATR-IR (De Nardo, Shiroma-Kian, Halim, Francis, & Rodriguez-Saona, 2009), multivariate statistical analysis (Giusti, Atnip, Sweeney, & Rodriguez-Saona, 2011), high-performance liquid chromatography (Kim et al, 2015), or in-situ Raman (Trebolazabala, Maguregui, Morillas, de Diego, & Madariaga, 2017).…”

Section: Discussionmentioning

confidence: 99%

Lycopene-rich extract from red guava ( Psidium guajava L.) displays cytotoxic effect against human breast adenocarcinoma cell line MCF-7 via an apoptotic-like pathway

Santos

Ombredane

Souza

et al. 2018

Food Research International

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This study investigated a lycopene-rich extract from red guava (LEG) for its chemical composition using spectrophotometry, mass spectrometry, attenuated total reflectance-fourier transform infrared spectroscopy (ATR-FTIR), and computational studies. The cytotoxic activity of LEG and the underlying mechanism was studied in human breast adenocarcinoma cells (MCF-7), murine fibroblast cells (NIH-3T3), BALB/c murine peritoneal macrophages, and sheep blood erythrocytes by evaluating the cell viability with 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) method and flow cytometry. Spectrophotometry analysis showed that LEG contained 20% of lycopene per extract dry weight. Experimental and theoretical ATR-FTIR suggests the presence of lycopene, whereas MS/MS spectra obtained after fragmentation of the molecular ion [M] of 536.4364 show fragment ions at m/z 269.2259, 375.3034, 444.3788, and 467.3658, corroborating the presence of lycopene mostly related to all-trans configuration. Treatment with LEG (1600 to 6.25μg/mL) for 24 and 72h significantly affected the viability of MCF-7 cells (mean half maximal inhibitory concentration [IC]=29.85 and 5.964μg/mL, respectively) but not NIH-3T3 cells (IC=1579 and 911.5μg/mL, respectively). Furthermore LEG at concentrations from 800 to 6.25μg/mL presented low cytotoxicity against BALB/c peritoneal macrophages (IC≥800μg/mL) and no hemolytic activity. LEG (400 and 800μg/mL) caused reduction in the cell proliferation and induced cell cycle arrest, DNA fragmentation, modifications in the mitochondrial membrane potential, and morphologic changes related to granularity and size in MCF-7 cells; however, it failed to cause any significant damage to the cell membrane or display necrosis or traditional apoptosis. In conclusion, LEG was able to induce cytostatic and cytotoxic effects on breast cancer cells probably via induction of an apoptotic-like pathway.

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“…In addition, some of these methods are not portable, limiting their wider applicability for routine in situ field screening of consumable products. Raman and infrared spectroscopy are non-destructive and rapid techniques that require a small sample size and are capable of solid and liquid sample analysis with little or no sample preparation, making them ideal for fingerprinting, determination of authenticity, and quality assurance of consumable products including edible oils [ 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ]. Besides, Raman and infrared spectrometers are portable and fairly inexpensive, allowing affordable and fast in situ field screening of consumable products.…”

Section: Introductionmentioning

confidence: 99%

Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis hypogaea) Oils

Smithson

Fakayode

Henderson

et al. 2018

Foods

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The intake of adulterated and unhealthy oils and trans-fats in the human diet has had negative health repercussions, including cardiovascular disease, causing millions of deaths annually. Sadly, a significant percentage of all consumable products including edible oils are neither screened nor monitored for quality control for various reasons. The prospective intake of adulterated oils and the associated health impacts on consumers is a significant public health safety concern, necessitating the need for quality assurance checks of edible oils. This study reports a simple, fast, sensitive, accurate, and low-cost chemometric approach to the purity analysis of highly refined peanut oils (HRPO) that were adulterated either with vegetable oil (VO), canola oil (CO), or almond oil (AO) for food quality assurance purposes. The Fourier transform infrared spectra of the pure oils and adulterated HRPO samples were measured and subjected to a partial-least-square (PLS) regression analysis. The obtained PLS regression figures-of-merit were incredible, with remarkable linearity (R2 = 0.994191 or better). The results of the score plots of the PLS regressions illustrate pattern recognition of the adulterated HRPO samples. Importantly, the PLS regressions accurately determined percent compositions of adulterated HRPOs, with an overall root-mean-square-relative-percent-error of 5.53% and a limit-of-detection as low as 0.02% (wt/wt). The developed PLS regressions continued to predict the compositions of newly prepared adulterated HRPOs over a period of two months, with incredible accuracy without the need for re-calibration. The accuracy, sensitivity, and robustness of the protocol make it desirable and potentially adoptable by health departments and local enforcement agencies for fast screening and quality assurance of consumable products.

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Portable Raman spectroscopy for an in-situ monitoring the ripening of tomato (Solanum lycopersicum) fruits

Cited by 61 publications

References 24 publications

Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy

Classification of Oil Palm Fresh Fruit Bunches (FFB) Using Raman Spectroscopy

Lycopene-rich extract from red guava ( Psidium guajava L.) displays cytotoxic effect against human breast adenocarcinoma cell line MCF-7 via an apoptotic-like pathway

Detection, Purity Analysis, and Quality Assurance of Adulterated Peanut (Arachis hypogaea) Oils

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