Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red

Raypah, Muna E.; Munćan, Jelena; Sudik, Suhainah; Omar, Ahmad; Mail, Mohd Hafiz; Tsenkova, Roumiana; Seeni, Azman

doi:10.1016/j.chemolab.2022.104611

Cited by 6 publications

(3 citation statements)

References 105 publications

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“…Therefore, the presence of bulky compounds or any functional groups is expected to introduce a shift in the absorbance wavelength, as these functional groups alter the electron-withdrawing and electron-donating effects on the whole system [ 63 , 64 ]. For instance, the presence of glycolipids in the NIR region was observed in the range of 1100–1330 nm [ 65 ], which is further away from the reported wavelength of 940–960 nm. Apart from that, to date, there have been no reports on the optical absorbance of these compounds at 940–960 nm.…”

Section: Resultsmentioning

confidence: 99%

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

et al. 2023

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Microalgae have become a popular area of research over the past few decades due to their enormous benefits to various sectors, such as pharmaceuticals, biofuels, and food and feed. Nevertheless, the benefits of microalgae cannot be fully exploited without the optimization of their upstream production. The growth of microalgae is commonly measured based on the optical density of the sample. However, the presence of debris in the culture and the optical absorption of the intercellular components affect the accuracy of this measurement. As a solution, this paper introduces the direct optical detection of glucose molecules at 940–960 nm to accurately measure the growth of microalgae. In addition, this paper also discusses the effects of the presence of glucose on the absorption of free water molecules in the culture. The potential of the optical detection of glucose as a complement to the commonly used optical density measurement at 680 nm is discussed in this paper. Lastly, a few recommendations for future works are presented to further verify the credibility of glucose detection for the accurate determination of microalgae’s growth.

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Section: Resultsmentioning

confidence: 99%

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

et al. 2023

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“…Reported techniques for maca cultivar discrimination are the ESI 8 , the stable isotope ratio and mineral elemental fingerprints 9 , liquid chromatography-ultraviolet detection -tandem mass spectrometry (LC-UV–MS/MS) 10 . In recent years, quick techniques for food adulteration and authenticity are crucial 11 , 12 .…”

Section: Introductionmentioning

confidence: 99%

“…Most of these techniques are liaised with chemometric tools such as Principal component analysis (PCA), hierarchical cluster analysis (HCA), linear discriminant analysis (LDA), soft independent modeling by class analogy (SIMCA), and partial least squares regression (PLSR) to improve the selection of the most relevant instrumental data output 15 , 16 . NIRS in tandem with chemometric techniques has been used to successfully identify different adulterations based on compositional variations and disparity in chemical functional groups in several studies including honey, oil and ground powders 12 , 15 .…”

Section: Introductionmentioning

confidence: 99%

Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques

Zaukuu,

Adams,

Donkor-Boateng

et al. 2024

Sci Rep

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Discriminating different cultivars of maca powder (MP) and detecting their authenticity after adulteration with potent adulterants such as maize and soy flour is a challenge that has not been studied with non-invasive techniques such as near infrared spectroscopy (NIRS). This study developed models to rapidly classify and predict 0, 10, 20, 30, 40, and 50% w/w of soybean and maize flour in red, black and yellow maca cultivars using a handheld spectrophotometer and chemometrics. Soy and maize adulteration of yellow MP was classified with better accuracy than in red MP, suggesting that red MP may be a more susceptible target for adulteration. Soy flour was discovered to be a more potent adulterant compared to maize flour. Using 18 different pretreatments, MP could be authenticated with R2CV in the range 0.91–0.95, RMSECV 6.81–9.16 g/,100 g and RPD 3.45–4.60. The results show the potential of NIRS for monitoring Maca quality.

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Implication of phenol red in quantification of cultured cancerous cells using near-infrared spectroscopy and aquaphotomics

Raypah

Munćan

Sudik

et al. 2022

Chemometrics and Intelligent Laboratory Systems

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Integration of near-infrared spectroscopy and aquaphotomics for discrimination of cultured cancerous cells using phenol red

Cited by 6 publications

References 105 publications

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

Quantifying Microalgae Growth by the Optical Detection of Glucose in the NIR Waveband

Non-invasive prediction of maca powder adulteration using a pocket-sized spectrophotometer and machine learning techniques

Implication of phenol red in quantification of cultured cancerous cells using near-infrared spectroscopy and aquaphotomics

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