Nanoextraction based on surface nanodroplets for chemical preconcentration and determination Hongyan Wu1Chiranjeevi Kanike1 2Arnab Atta2and Xuehua Zhang1 3 a

2025-05-02 0 0 2.19MB 9 页 10玖币
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Nanoextraction based on surface nanodroplets for chemical
preconcentration and determination
Hongyan Wu,1Chiranjeevi Kanike,1, 2 Arnab Atta,2and Xuehua Zhang1, 3, a)
1)Department of Chemical and Materials Engineering, University of Alberta, Alberta T6G 1H9,
Canada
2)Department of Chemical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302,
India
3)Physics of Fluids Group, Max Planck Center Twente for Complex Fluid Dynamics, JM Burgers Center for Fluid Dynamics,
Mesa+, Department of Science and Technology,University of Twente, Enschede 7522 NB,
The Netherlands
(*Electronic mail: xuehua.zhang@ualberta.ca)
(Dated: 7 October 2022)
Liquid-liquid extraction based on surface nanodroplets, namely nanoextraction, can continuously extract and enrich
target analytes from the flow of a sample solution. This sample preconcentration technique is easy to operate in a
continuous flow system with a low consumption of organic solvent and a high enrichment factor. In this review, the
evolution from single drop microextraction to advanced nanoextraction will be briefly introduced. Also, the formation
principle and key features of surface nanodroplets will be summarized. Further, the major findings of nanoextraction
combined with in–droplet chemistry towards sensitive and quantitative detection will be discussed. Finally, we will
give our perspectives for the future trend of nanoextraction.
I. INTRODUCTION
Chemical analysis at trace levels is crucial in various fields
such as food safety screening,1,2 environmental pollutant
monitoring,3,4 clinical forensics,5,6 and biological contami-
nants sensing.7,8 A preliminary step of analyte extraction and
enrichment prior to detection contributes to improve the limit
of detection (LoD) of analytical tools.9,10 Due to the large ac-
tive surface area, microscopic droplets are of great interest for
preconcentration of target analytes across the droplet-liquid
interface at extremely low concentrations.11–14 The enhanced
preconcentration depends on the partition of the compound
between droplet liquid and surrounding sample liquid.
Recently, dispersive liquid-liquid microextraction
(DLLME) has received great attention because of its
rapid and efficient extraction.15–23 DLLME is a spontaneous
emulsification technique based on a ternary mixture con-
taining dispersive solvent, extractant, and aqueous sample
solution.24,25 The formation of extractant microdroplets
increases the interfacial mass transfer of the analytes, leading
to increased extraction efficiency. The microdroplets are then
centrifuged and collected from the bulk for subsequent analy-
sis. The main disadvantages of DLLME are the requirement
of two individual steps for extraction and equipment-assisted
sample separation, as well as the consumption of relatively
large amount of disperser solvents.
Surface nanodroplets on immersed substrates provide an
alternative platform for efficient extraction. The most-used
method to induce surface nanodroplets is the solvent ex-
change. In this process, surface nanodroplet nucleation and
subsequent growth occur due to the droplet liquid transient
oversaturation when a good solvent of the droplet liquid is
a)https://sites.google.com/view/soft-matter-interfaces/home
displaced by a poor solvent.26 Surface nanodroplet exhibits
huge surface-to-volume ratio and excellent long-term stabil-
ity against evaporation or dissolution.27,28 These features en-
able surface nanodrops to continuously extract and enrich
trace amounts of solutes from the flow of an aqueous solu-
tion. The extraction efficiency of surface nanodroplets pro-
duced on a planar or a curved surface was investigated by Yu
et. al in 2016.29 The term ‘nanoextraction’ describing the liq-
uid–liquid extraction based on surface nanodroplets was pro-
posed by Li et al. in 2019.30
Nanoextraction can be integrated with surface reactions for
further application in chemical analysis. It has been demon-
strated that many chemical reactions in nanodroplets are faster
and more effective than their macroscopic counterparts in a
bulk medium.31,32 Reactive components could be introduced
to a single droplet to impart multi–functionalities under well-
controlled mixing conditions without the influence of uncon-
trolled collision, coalescence or Ostwald ripening for droplet
reaction in a bulk system. Nanoextraction coupled with in-situ
surface reactions provides an active platform for synthesis of
functionalized nanomaterials and combinative analysis.30,33
This review aims to summarize the latest progress and point
out the current research trends of nanoextractions. Herein,
we begin by briefly introducing the historical development of
droplet-based extraction, followed by elaborating the forma-
tion principle and control parameter of surface nanodroplets.
Then, we discuss the current research progress of nanoextrac-
tion, as well as reaction-assisted nanoextraction. Finally, we
give our perspectives of what would be the future development
of nanoextraction in terms of analytical practices. Prior review
articles on surface nanodroplet mainly focus on its formation
and dissolution dynamics.34,35 To the best of our knowledge,
there has been no review article discussing the nanoextraction
based on surface nanodroplet. We hope this review could pro-
vide support for further development of nanoextraction in the
trace chemical component analysis.
arXiv:2210.02608v1 [physics.flu-dyn] 5 Oct 2022
2
FIG. 1. (A) Illustration of the classical single drop microextraction
(SDME) process. (B) Schematic illustration of a ternary phase dia-
gram of oil (O), water (W), and solute (S). Oil or water droplets can
be formed in the ouzo region or reverse ouzo region, respectively.
(C) General Schematic of the classical DLLME procedure. Panel
(A) and (B) taken from ref.36 Copyright 2020 Springer Nature. Panel
(C) reproduced with permission from ref.37 Copyright 2009 Elsevier
B.V.
II. DEVELOPMENT OF DROPLET-BASED EXTRACTION
Single drop microextraction (SDME), as a solvent minia-
turized extraction technique, was explored by Liu et al.38 and
Jeannot et al.39 in 1996. In a typical SDME process, an or-
ganic microdroplet (1–10 µL) is suspended at the tip of
a syringe needle which is surrounded by an aqueous sam-
ple solution (Fig. 1A). After extraction, the drop with en-
riched analytes is withdrawn and injected into an analyti-
cal instrument for detection and quantification. The extrac-
tion of target compounds from aqueous phase into an or-
ganic solvent drop is based on passive diffusion.40,41 The
extraction efficiency is intrinsically determined by the an-
alyte partition coefficient between the droplet liquid and
water. Different approaches to perform SDME, such as
continuous-flow microextraction,42,43 headspace SDME,44,45
drop-to-drop microextraction,46,47 and direct immersion-
SDME,48,49 have been extensively explored for analytical ap-
plications. Jeannot et al.50 summarized the historical devel-
opment and pointed out advantage/disadvantages of various
modes of SDME technique. A recent review from 2021 fo-
cused on the applications of SDME combined with multi-
ple analytical tools (spectroscopy, chromatography, and mass
spectrometry).51 The popularity of SDME mainly lies in its
cost-effectiveness and low consumption of organic solvent.
Its drawbacks are the instability of the hanging droplet, nar-
row drop surface, and consequently slow diffusion kinetics
and limited sensitivity.
DLLME, as a modified solvent microextraction technique,
was introduced in 2006 by Rezaee et al. for the extraction
of organic analytes from aqueous samples.15 In this method,
multiple extractant microdroplets are formed and stably dis-
persed in an aqueous sample comprising of the target analytes.
The formation of small droplets is based on the spontaneous
emulsification in a ternary system, which is well known as
the “Ouzo effect”.52 A typical ternary mixture consists of a
good solvent (e.g., ethanol), a poor solvent (e.g., water), and
a small ratio of extractant (e.g., oil). The three-phase diagram
of a representative ternary system is shown in Fig. 1B. The
nucleation and growth of the droplets spontaneously occur in
the ouzo regime, which is surrounded by the binodal and spin-
odal curves.53 This emulsification without surfactant is kinet-
ically stable over hours or days.54 The dramatically increased
surface area leads to the enhanced diffusion kinetics and high
recovery efficiency.
The typical procedure of DLLME is demonstrated in Fig.
1C, microdroplets of extractant are spontaneously formed
when a mixture containing an extracting solvent and a dis-
perse solvent is rapidly injected into an aqueous sample so-
lution. The partition equilibrium at the droplet interface
is reached in a few seconds owing to the large surface
area. Consequently, the extraction is almost independent of
time.55 The cloudy emulsion is then centrifuged to collect
the droplets with concentrated target compound for analy-
sis. Over the years, DLLME technique has been developed
from its basic approach into many other advanced configu-
rations. Recent revolutions of DLLME have been made re-
garding to the selection of extracting and disperse solvent,56,57
combination with other extraction techniques,58,59 associa-
tion with derivatization reaction,60,61 mechanical agitation-
assisted emulsification,62,63 etc. The review devoted specif-
ically to DLLME was published by Rezaee et al.37 in
2010 comprehensively summarizing the early development
of DLLME. Sajid et al.64 reviewed latest advancements of
DLLME with respect to its evolved design of devices, green
aspects, and application extensions. Compared to SDME,
DLLME greatly improves the enrichment efficiency. Some
limitations still exist, such as the consumption of toxic extrac-
tion solvents (e.g., carbon tetrachloride, chlorobenzene, and
cyclohexane).37
III. FORMATION OF SURFACE NANODROPLETS
The formation principle of surface nanodroplets is also
based upon the “ouzo effect”.26 The standard protocol of the
solvent exchange to form surface nanodroplets is shown in
Fig. 2A. Different from the generation of dispersive micro-
droplets in a DLLME process, surface nanodroplets are in-
duced by an oversaturation pulse at the interacting front of the
ouzo solution (solution A) and the poor solvent (solution B) in
a narrow chamber.36 As shown in Fig. 2B, the oversaturation
level is demonstrated by the integrated area between the bin-
odal curve and the dilution path through the ouzo region. The
nanodroplets pinned on the substrate are 5–500 nm in height
and 0.1–10 µm in lateral diameter.68
摘要:

NanoextractionbasedonsurfacenanodropletsforchemicalpreconcentrationanddeterminationHongyanWu,1ChiranjeeviKanike,1,2ArnabAtta,2andXuehuaZhang1,3,a)1)DepartmentofChemicalandMaterialsEngineering,UniversityofAlberta,AlbertaT6G1H9,Canada2)DepartmentofChemicalEngineering,IndianInstituteofTechnologyKharagp...

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