For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
5
views
21
references
 Top references
cited by
5
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      27
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Pseudo-Continuous Flow FTIR System for Glucose, Fructose and Sucrose Identification in Mid-IR Range

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this paper, we present a new FTIR-based microfluidic system for Glucose, Fructose and Sucrose detection. The proposed microfluidic system is based on a pseudo-continuous flow coupled to a microscope-FTIR instrument. The detection and characterization of sugar samples were performed by recording their absorption spectrum in the wavelength range 700–1000 cm − 1 of the Mid-IR region. The proposed pseudo-continuous flow system is designed to improve the uniformity of the sample distribution in the analyzed area versus conventional systems. The obtained results for different sugars concentrations, show a very low measurement error of 4.35% in the absorption peak intensity, which is ten times lower than the error obtained using the conventional measurements.

          Related collections

          Most cited references21

          • Record: found
          • Abstract: found
          • Article: not found

          Using Fourier transform IR spectroscopy to analyze biological materials.

          Matthew J Baker, Júlio Trevisan, Paul Bassan … (2014)
          IR spectroscopy is an excellent method for biological analyses. It enables the nonperturbative, label-free extraction of biochemical information and images toward diagnosis and the assessment of cell functionality. Although not strictly microscopy in the conventional sense, it allows the construction of images of tissue or cell architecture by the passing of spectral data through a variety of computational algorithms. Because such images are constructed from fingerprint spectra, the notion is that they can be an objective reflection of the underlying health status of the analyzed sample. One of the major difficulties in the field has been determining a consensus on spectral pre-processing and data analysis. This manuscript brings together as coauthors some of the leaders in this field to allow the standardization of methods and procedures for adapting a multistage approach to a methodology that can be applied to a variety of cell biological questions or used within a clinical setting for disease screening or diagnosis. We describe a protocol for collecting IR spectra and images from biological samples (e.g., fixed cytology and tissue sections, live cells or biofluids) that assesses the instrumental options available, appropriate sample preparation, different sampling modes as well as important advances in spectral data acquisition. After acquisition, data processing consists of a sequence of steps including quality control, spectral pre-processing, feature extraction and classification of the supervised or unsupervised type. A typical experiment can be completed and analyzed within hours. Example results are presented on the use of IR spectra combined with multivariate data processing.
          Article 0 comments Cited 422 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Dietary Sugar and Body Weight: Have We Reached a Crisis in the Epidemic of Obesity and Diabetes?

            George Bray, Barry M. Popkin (2014)
            Sugar-sweetened drinks have been associated with several health problems. In the point narrative as presented below, we provide our opinion and review of the data to date that we need to reconsider consumption of dietary sugar based on the growing concern of obesity and type 2 diabetes. In the counterpoint narrative following our contribution, Drs. Kahn and Sievenpiper provide a defense and suggest that dietary sugar is not the culprit. Data from the National Health and Nutrition Examination Survey and U.S. Department of Agriculture dietary surveys along with commercial Homescan data on household purchases were used to understand changes in sugar and fructose consumption. Meta-analyses and randomized clinical trials were used to evaluate outcomes of beverage and fructose intake. About 75% of all foods and beverages contain added sugar in a large array of forms. Consumption of soft drinks has increased fivefold since 1950. Meta-analyses suggest that consumption of sugar-sweetened beverages (SSBs) is related to the risk of diabetes, the metabolic syndrome, and cardiovascular disease. Drinking two 16-ounce SSBs per day for 6 months induced features of the metabolic syndrome and fatty liver. Randomized controlled trials in children and adults lasting 6 months to 2 years have shown that lowering the intake of soft drinks reduced weight gain. Recent studies suggest a gene-SSB potential relationship. Consumption of calorie-sweetened beverages has continued to increase and plays a role in the epidemic of obesity, the metabolic syndrome, and fatty liver disease. Reducing intake of soft drinks is associated with less weight gain.
            Article 0 comments Cited 149 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              FT-IR imaging of native and tissue-engineered bone and cartilage.

              Adele L. Boskey, Nancy Pleshko Camacho (2007)
              Fourier transform infrared (FT-IR) imaging and microspectroscopy have been extensively applied to the analyses of tissues in health and disease. Spatially resolved mid-IR data has provided insights into molecular changes that occur in diseases of connective or collagen-based tissues, including, osteoporosis, osteogenesis imperfecta, osteopetrosis and pathologic calcifications. These techniques have also been used to probe chemical changes associated with load, disuse, and micro-damage in bone, and with degradation and repair in cartilage. This review summarizes the applications of FT-IR microscopy and imaging for analyses of bone and cartilage in healthy and diseased tissues, and illustrates the application of these techniques for the characterization of tissue-engineered bone and cartilage.
              Article 0 comments Cited 102 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Micromachines (Basel)
                Journal ID (iso-abbrev): Micromachines (Basel)
                Journal ID (publisher-id): micromachines
                Title: Micromachines
                Publisher: MDPI
                ISSN (Electronic): 2072-666X
                Publication date (Electronic): 13 October 2018
                Publication date Collection: October 2018
                Volume: 9
                Issue: 10
                Electronic Location Identifier: 517
                Affiliations
                [1 ]LABioTRON Bioengineering Research Laboratory, ECE Department, Université Laval, Québec City, QC G1V 0A6, Canada; hamza.landari.1@ 123456ulaval.ca
                [2 ]Research Centre for Advanced Materials (CERMA), Université Laval, Québec City, QC G1V 0A6, Canada
                [3 ]Center for Optics, Photonics and Lasers (COPL), Department of Physics, Université Laval, Québec City, QC G1V 0A6, Canada; mourad.roudjane.1@ 123456ulaval.ca (M.R.); Younes.Messaddeq@ 123456copl.ulaval.ca (Y.M.)
                Author notes
                [* ]Correspondence: amine.miled@ 123456gel.ulaval.ca ; Tel.: +1-(418)-656-2131 (ext. 8966)
                Author information
                https://orcid.org/0000-0002-0154-9789
                https://orcid.org/0000-0002-1830-9730
                https://orcid.org/0000-0002-1766-7528
                Article
                Publisher ID: micromachines-09-00517
                DOI: 10.3390/mi9100517
                PMC ID: 6215248
                PubMed ID: 30424450
                SO-VID: afab0228-af2c-4a3a-8f43-ce116979bcc1
                Copyright © © 2018 by the authors.
                License:

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                Date received : 24 August 2018
                Date accepted : 09 October 2018
                Categories
                Subject: Article

                Keywords: pseudo-continuous flow,ftir spectroscopy,microscopy-ftir spectrometer,absorption spectrum,glucose,fructose,sucrose,sugars detection and quantification,mid-ir absorption spectroscopy
                Data availability:
                Keywords: pseudo-continuous flow, ftir spectroscopy, microscopy-ftir spectrometer, absorption spectrum, glucose, fructose, sucrose, sugars detection and quantification, mid-ir absorption spectroscopy

                Comments

                Comment on this article

                scite_

                Similar content27

                See all similar

                Cited by5

                See all cited by

                Most referenced authors337

                See all reference authors