Molecular identification of bio-fluids in gas phase using infrared spectroscopy

Apolonski, Alexander; Roy, Susmita; Lampe, Renée; Maiti, Kiran Sankar

doi:10.1364/ao.388362

Cited by 16 publications

(12 citation statements)

References 31 publications

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“…Table 6 list the levels of nonmetals and metals quantified (mg/100 g) in the inflorescence of the banana tree compared to the limit specification of RDAs, AI, and UL values of males (31-50 y) and females (31-50 y), children (4-8 y), and pregnant women (31-40 y) [28]. Besides, all values obtained in this manuscript were compared with the permissible limits set by the FAO/WHO for edible plants [36]. e Scientific World Journal is manuscript adopted the Nutrition Content Claims based on FDA, which proposed that foods with 10-19% of the daily value per portion are "good source of" nutrition, while foods that contain 20% or more than daily values per portion are considered "excellent source of" nutrition [40].…”

Section: Resultsmentioning

confidence: 99%

“…e level of P determined in the flowers and bracts of the inflorescence does not represent a health risk because it is below the UL for P's consumption in men, women, children, adolescents, and pregnant women (3,000-4,000 mg/100 g) (Table 6). For edible plants, the FAO/WHO limits have not yet been established for P [36]. Foods rich in phosphorus are beneficial to human health.…”

Section: Resultsmentioning

confidence: 99%

“…However, the concentration of Ni in flowers and bracts are below UL values for adults aged 31-50 years (1.0 mg/day) and children aged 4-8 years (0.3 mg/day). e permissible limit set by FAO/WHO for edible plants was 0.163 mg/100 g (Table 6) [36]. According to the DE-PARTMENT of HEALTH AND HUMAN SERVICES, Public Health Service Agency for Toxic Substances and Disease Registry, food is the major source of nickel exposure for adults and children (dietary intake, 0.170 mg/day) [52].…”

Section: Resultsmentioning

confidence: 99%

“…Food security can be provided by looking at the information on molecular composition, process intermediates, and quality parameters, which can be assessed by infrared spectroscopy in both liquid and gas phases [35]. In addition, molecular identification in biological sample in gas phase using infrared spectroscopy can assist in diagnosing diseases in the human body or to ensure its safety [36].…”

Section: Introductionmentioning

confidence: 99%

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Determination of Macro- and Microelements in the Inflorescences of Banana Tree Using ICP OES: Evaluation of the Daily Recommendations of Intake for Humans

Rosa

Fernandes

Melo

et al. 2020

The Scientific World Journal

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The inflorescence of Musa paradisiaca, known as “banana heart” is a structure that includes flowers and bracts of banana, commonly used as food source worldwide. The aims of this study were (1) to determine the mineral components of Musa paradisiaca and (2) to compare the obtained results with previously reported data of Recommendation Dietary Allowances (RDAs) and edible plant permissible limits set by FAO/WHO. The samples were digested using microwave-assisted equipment, while elemental contents were determined by inductively coupled plasma optical emission spectroscopy (ICP OES). Metal (Mg, Ca, Cr, Ni, Cu, Fe, and Zn) and nonmetal (S and P) contents were detected. According to RDA, the inflorescences could be excellent sources of Mg, P, Cr, Cu, Zn, and Fe for females, males, and pregnant women, all age 31–50 y, as well as children (4–8 y). Bracts are good source of Zn for male and pregnant women and good source of Fe for children. All the samples contained considerable amounts of Mg, Ca, P, Ni, Cu, Zn, and Fe, which were quite low to induce deleterious effects (UL). FAO/WHO limits for edible plants have not yet been established for S, P, Mg, and Ca, but Ni and Zn are below of those limit values. However, Cr and Cu concentrations are higher than the values established for edible plants and may pose a threat to human health. Farmers should be encouraged by government agencies, not only for sustainability of production but also to ensure the storage and trade of banana tree inflorescence.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determination of Macro- and Microelements in the Inflorescences of Banana Tree Using ICP OES: Evaluation of the Daily Recommendations of Intake for Humans

Rosa

Fernandes

Melo

et al. 2020

The Scientific World Journal

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“…Therefore, a rapid, efficient, repeatable, objective, and economical nondestructive inspection method is needed for origin discrimination of tea. For example, gas-phase infrared spectroscopy, one of the artificial olfaction sensing systems, has the potential to be helpful as a screening method for the quality control of tea because of its increased sensitivity, resolution, high signal-to-noise ratio, multiple-component analysis, and rapid measurement capabilities [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis and Discrimination of Partially Fermented Teas from Different Origins Using Visible/Near-Infrared Spectroscopy Coupled with Chemometrics

Tung

Hsu

et al. 2020

Sensors

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Partially fermented tea such as oolong tea is a popular drink worldwide. Preventing fraud in partially fermented tea has become imperative to protect producers and consumers from possible economic losses. Visible/near-infrared (VIS/NIR) spectroscopy integrated with stepwise multiple linear regression (SMLR) and support vector machine (SVM) methods were used for origin discrimination of partially fermented tea from Vietnam, China, and different production areas in Taiwan using the full visible NIR wavelength range (400–2498 nm). The SMLR and SVM models achieved satisfactory results. Models using data from chemical constituents’ specific wavelength ranges exhibited a high correlation with the spectra of teas, and the SMLR analyses improved discrimination of the types and origins when performing SVM analyses. The SVM models’ identification accuracies regarding different production areas in Taiwan were effectively enhanced using a combination of the data within specific wavelength ranges of several constituents. The accuracy rates were 100% for the discrimination of types, origins, and production areas of tea in the calibration and prediction sets using the optimal SVM models integrated with the specific wavelength ranges of the constituents in tea. NIR could be an effective tool for rapid, nondestructive, and accurate inspection of types, origins, and production areas of teas.

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