Digital Image Photometry of Xylose in Liquid Medium
Ma. Roselette L. Alojado-Rubianes1 and Ernesto J. del Rosario2*
1National Institute of Molecular Biology and Biotechnology (BIOTECH) and
2Institute of Chemistry, University of the Philippines Los Banos, Laguna, Philippines
*Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
ABSTRACT
Digital image photometry (DIP) was used to determine xylose concentration in liquid medium. Xylose was quantified by its color reaction with phloroglucinol in a 96-well microplate sample holder using a commercial flat-bed scanner followed by image analysis with free-access software (ImageJ). The Red (R) values showed linear correlation versus xylose concentration in the range of 1.0–10.0 mg/mL with correlation coefficient of 0.987. The DIP method was found to be accurate based on experimental pentose (versus theoretical) concentration values. The observed limits of detection (LOD) and quantification (LOQ) for xylose were 0.65 mg/mL and 2.17 mg/mL, respectively. The DIP method gave results that are reliable and comparable to other technical protocols requiring expensive equipment such as high performance liquid chromatograph (HPLC) or UV-visible spectrophotometer. The DIP method was used to evaluate the extent of xylose assimilation in liquid fermentation medium by four yeast strains.
INTRODUCTION
Pentoses, especially xylose, have become attractive substrates for ethanol production because they can be obtained from pentosans, which are important components of agricultural and forestry raw materials. Only a handful of organisms are capable of converting xylose into ethanol, but with world-wide research efforts of molecular biologists and genetic engineers, recombinant isolates from E. coli, Z. mobilis, S. cerevisiae, and other microorganisms have been produced (Lin & Tanaka 2006). However, there is still a need for conventional screening research for wild type microorganisms that can convert xylose into ethanol. In both types of research, a rapid and reliable method is needed for determining xylose in fermentation medium – preferably using inexpensive equipment. . . . . read more
REFERENCES
BARBOSA AI, GEHLOT P, SIDAPRA K, EDWARDS AD, REIS NM. 2015. Portable smartphone quantification of prostate specific antigen (PSA) in a fluoropolymer microfluidic device. Biosens. Bioelectron. 70: 5–14.
CAPITAN-VALLVEY LF, LOPEZ-RUIZ N, MARTINEZ-OLMOS A, ERENAS MM, PALMA AJ. 2015. Recent developments in computer vision-based analytical chemistry: A tutorial review. Anal. Chim. Acta 899: 23–56.
EBERTS TJ, SAMPLE RH, GLICK MR, ELLIS GH. 1979. A simplified colorimetric micromethod for xylose in serum or urine, with phloroglucinol. Clin. Chem. 25(8): 1440–1443.
[ICH] International Conference on Harmonisation. 2005. Validation of analytical procedures: Text and methodology. ICH Harmonised Tripartite Guideline 1–13.
ISARANKURA-NA-AYUDHYA C, TANTIMONGCOLWAT T, KONGPANPEE T, PRABKATE P, PRACHAYASITTIKUL V. 2007. Appropriate technology for the bioconversion of water hyacinth (Eichhornia crassipes) to liquid ethanol: Future prospects for community strengthening and sustainable development. EXCLI J 6: 167–176.
HERMIDA C, MARTINEZ-COSTA OH, CORRALES G, TERUEL C, SANCHEZ V, SANCHEZ JJ, SARRION D, ARIZA MJ, CODOCEO R, CALVO I, FERNANDEZ-MAYORALAS A, ARAGON JJ. 2014. Improvement and validation of d-xylose determination in urine and serum as a new tool in the noninvasive evaluation of lactase activity in humans. J. Clin. Lab. Anal. 28(6): 478–486.
JOHNSON M. 2000. Rapid, simple quantitation in thin-layer chromatography using a flatbed scanner. J. Chem. Educ. 77(3): 368.
JOHNSON SL, BLISS M, MAYERSOHN M, CONRAD KA. 1984. Phloroglucinol-based colorimetry of xylose in plasma and urine compared with a specific gas-chromatographic procedure. Clin. Chem. 30(9): 1571–1574.
KELDA HK, KAUR P. 2014. A review: Color models in image processing. International J. Computer Technol. Applic. 5(2): 319–322.
KISZONAS AM, COURTIN CM, MORRIS CF. 2012. A critical assessment of the quantification of wheat grain arabinoxylans using a phloroglucinol colorimetric assay. Cereal Chem. 89(3): 143–150.
KRONBERG H, ZIMMER HG, NEUHOFF V. 1984. A “high-performance” 2D gel scanner. Clin. Chem. 30(12): 2059-2062.
KRUGER V. 2010. Image processing digital color images – LIRA Lab. Retrieved from www.liralab.it./teaching/SINA_10/slides_current/volker/color.pdf
LIN Y, TANAKA S. 2006. Ethanol fermentation from biomass resources: Current state and prospects. Appl. Microbiol. Biotech. 69: 627–642.
LIU X, AI N, ZHANG H, LU M, JI D, YU F, JI J. 2012. Quantification of glucose, xylose, arabinose, furfural, and HMF in corncob hydrolysate by HPLC-PDA-ELSD. Carbohydr. Res. 353: 111–114.
MAGALHAES LM, SANTOS F, SEGUNDO MA, REIS S, LIMA JLFC. 2010. Rapid microplate high-throughput methodology for assessment of Folin-Ciocalteu reducing capacity. Talanta 83: 441–447.
MAGNUSSON B, ORNEMARK U eds. 2014. Eurachem Guide: The fitness for purpose of analytical methods – A laboratory guide to method validation and related topics, 2nd ed. Retrieved from www.eurachem.org.
MASUKO T, MINAMI A, IWASAKI N, MAJIMA T, NISHIMURA SI, LEE YC. 2005. Carbohydrate analysis by a phenol-sulfuric acid method in microplate format. Anal. Biochem. 339: 69–72.
MEDEIROS PM, SIMONEIT BRT. 2007. Analysis of sugars in environmental samples by gas chromatography-mass spectrometry. J. Chromatogr. A. 1141: 271–278.
MORBIOLI GG, MAZZU-NASCIMENTO T, STOCKTON AM, CARRILHO E. 2017. Technical aspects and challenges of colorimetric detection with microfluidic paper-based analytical devices – A review. Anal. Chim. Acta 970: 1–22.
MOYSES DN, REIS VCB, DE ALMEDA JRM, DE MORAES LMP, TORRES FAG. 2016. Xylose fermentation by S. cerevisiae: Challenges and prospects, Internat. J. Molec. Sci, 17: 207–225.
NASRUDIN MF, WAHDAN OM, OMAR K. 2012. Irregular rotation deformation from paper scanning: An investigation. Procedia Computer Sci. 13: 152–161.
OLIVEIRA L, CANEVARI N, GUERRA M, PEREIRA F, SCHAEFER C, PEREIRA-FILHO E. 2013. Proposition of a simple method for chromium (VI) determination in soils from remote places applying digital images: A case study from Brazilian Antarctic station. Microchem. J. 109: 165–169.
PHAM PJ, HERNANDEZ R, FRENCH WT, ESTILL BG, MONDALA AH. 2011. A spectroscopic method for quantitative determination of xylose in fermentation medium. Biomass & Bioenergy 35(7): 2814–2821
QIAO Y, THEYSSEN N, HOU Z. 2015. Acid-catalyzed dehydration of fructose to 5-(hydroxymethyl)furfural. Recycl. Catal. 2: 36–60.
SANCHEZ-MORENO I, MONSALVE-HERNANDO C, GODINO A, ILLA L, GASPAR MJ, MUNOZ GM, DIAZ A, MARTIN JL, GARCIA-JUNCEDA E, FERNANDEZ-MAYORALAS A, HERMIDA C. 2017. Analytical validation of a new enzymatic and automatable method for xylose measurement in human urine samples. Hindawi BioMed Res. Internat. [ID8421418] 9p.
SHISHKIN YL, DMITRIENKO SG, MEDVEDEVA OM, BADAKOVA SA, PYATKOVA LN. 2004. Use of a scanner and a digital image-processing software for the quantification of adsorbed substances. J. Anal. Chem. 59(2): 102–106.
SKREDE OJ. 2017. Color images, color spaces and color image processing. Retrieved from https://www.uio.no/studier/emner/matnat/.../v17/slides_inf2310_317_week08.pdf
SUZUKI Y, ENDO M, JIN J, IWASE K, IWATSUKI M. 2006. Tristimulus colorimetry using a digital still camera and its application to determination of iron and residual chlorine in water samples. Anal. Sci. 221: 411–414.
TAO F, SONG H, CHOU L. 2011. Efficient process for the conversion of xylose to furfural with acidic ionic liquid. Can. J. Chem. 89: 83–87.
VYAWAHARE A, JAYARAJ RAO K, PAGOTE CN. 2013. Computer vision system for colour measurement – Fundamentals and applications in food industry: A review. Research and Reviews: J. Food Dairy Technol. 1(2): 22–31.
YANG G, PIDKO EA, HENSEN EJM. 2012. Mechanism of Brønsted acid-catalyzed conversion of carbohydrates. J. Catal. 295: 122–132.
YEH C, WANG I, LIN H, CHANG T, LIN Y. 2009. A novel immunoassay using platinum nanoparticles, silver enhancement and a flatbed scanner. Procedia Chem. 1: 256–260.