Unprecedented selectivity in molecular recognition of carbohydrates by a metal-organic framework

Mizuho Yabushita, Peng Li, Varinia Bernales, Hirokazu Kobayashi, Atsushi Fukuoka, Laura Gagliardi, Omar K. Farha, Alexander Katz

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Metal-organic framework (MOF) material NU-1000 adsorbs dimers cellobiose and lactose from aqueous solution, in amounts exceeding 1250 mg gNU-1000-1 while completely excluding the adsorption of the monomer glucose, even in a competitive mode with cellobiose. The MOF also discriminates between dimers consisting of α and β linkages, showing no adsorption of maltose. Electronic structure calculations demonstrate that key to this selective molecular recognition is the number of favorable CH-π interactions made by the sugar with pyrene units of the MOF.

Original languageEnglish (US)
Pages (from-to)7094-7097
Number of pages4
JournalChemical Communications
Volume52
Issue number44
DOIs
StatePublished - Jan 1 2016

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Molecular recognition
Carbohydrates
Cellobiose
Metals
Dimers
Maltose
Adsorption
Pyrene
Lactose
Sugars
Electronic structure
Glucose
Monomers

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Unprecedented selectivity in molecular recognition of carbohydrates by a metal-organic framework. / Yabushita, Mizuho; Li, Peng; Bernales, Varinia; Kobayashi, Hirokazu; Fukuoka, Atsushi; Gagliardi, Laura; Farha, Omar K.; Katz, Alexander.

In: Chemical Communications, Vol. 52, No. 44, 01.01.2016, p. 7094-7097.

Research output: Contribution to journalArticle

Yabushita, M, Li, P, Bernales, V, Kobayashi, H, Fukuoka, A, Gagliardi, L, Farha, OK & Katz, A 2016, 'Unprecedented selectivity in molecular recognition of carbohydrates by a metal-organic framework', Chemical Communications, vol. 52, no. 44, pp. 7094-7097. https://doi.org/10.1039/c6cc03266d
Yabushita, Mizuho ; Li, Peng ; Bernales, Varinia ; Kobayashi, Hirokazu ; Fukuoka, Atsushi ; Gagliardi, Laura ; Farha, Omar K. ; Katz, Alexander. / Unprecedented selectivity in molecular recognition of carbohydrates by a metal-organic framework. In: Chemical Communications. 2016 ; Vol. 52, No. 44. pp. 7094-7097.
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