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Total sulfonamides determination in bovine milk using smartphone-based digital images

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Sulfonamides are low-cost synthetic antimicrobials that are widely used in both veterinary and human medicine to treat diseases and control and prevent infections. Long periods of exposure to sulfonamides may cause adverse effects such as heart problems, allergic reactions, and hepatic and digestive dysfunction in humans. The maximum residue limit established for the total quantity of sulfamethazine, sulfadimethoxine, and sulfathiazole in bovine milk is 100 μg L⁻¹. This study aims to employ dispersive liquid–liquid microextraction (DLLME) as a green chemistry technique for the extraction of total sulfonamides in bovine milk samples. The procedure involves the formation of an imino salt, posterior DLLME with 1-butanol, and measurement using digital images. A linear response was observed between 50 and 1000 µg L⁻¹ for total sulfonamides, described by the equation: Analytical signal = 3.02 + 0.03 C (µg L⁻¹) (R²=0.999). The coefficient of variation (n=11; 250 µg L⁻¹ total sulfonamides) and the detection limit were estimated to be 0.49% and 20 µg L⁻¹, respectively. For 0.50 mL of milk sample, 0.75 mg p-DAC, 17.30 mg SDS, 49.02 mg of trichloroacetic acid, and 0.50 mL 1-butanol were consumed. Recovery tests using the addition-recuperation method were performed, achieving 88 and 100% recovery. The results agreed with those obtained by a HPLC procedure at 95% confidence level.
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UNCORRECTED PROOF
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BG@ EHP =>M><MBHG EBFBML :G= AB@A K>IKH=N<B;BEBMR F:DBG@ BM IHLLB;E> MH
F>:LNK> FNEMBIE> L:FIE>L BG : LAHKM MBF>
%G MABL LMN=R P> IKHIHL> MA> :IIEB<:MBHG H? LNK?:<M:GM;:L>= (()!
:L :G :EM>KG:MBO> F>MAH= ?HK MA> >QMK:<MBHG :G= IK><HG<>GMK:MBHG H? MH
M:E LNE?HG:FB=>L BG ;HOBG> FBED L:FIE>L ;:L>= HG MA> =>M>KFBG:MBHG ;R
F>:LNK>F>GML H? =B@BM:E BF:@>L
2. Material and methods
2.1. Chemicals and solutions
0A> LHENMBHGL P>K> IK>I:K>= NLBG@ NEMK:INK> =>BHGBS>= P:M>K
)>K<D )BEEBIHK> :KFLM:=M #>KF:GR FH=>E /RG>K@R^ 3:M>K ,NKBc
<:MBHG /RLM>F :G= :G:ERMB<:E @K:=> K>:@>GML /B@F:E=KB<A /M (HNBL
)+ 1/  LMH<D LHENMBHG H? MHM:E LNE?HG:FB=>L LNE?:F>MA:SBG>/)6
LNE?:=BF>MAHQBG>/ 4 :G= LNE?:MB:SHE>/06 P:L IK>I:K>= ;R =BLLHEO
BG@  F@ H? >:<A LNE?HG:FB=> BG  F( H? NEMK:INK> =>BHGBS>= P:M>K
 a/ <F  LHENMBHG H?  FHE (MKB<AEHKH:<>MB< :<B= 0 P:L
IK>I:K>= BG P:M>K
0A> K>:@>GM LHENMBHG P:L IK>I:K>= ;R :==BG@  F@ H? 
=BF>MARE:FBGH<BGG:F:E=>AR=> p   FFHE ( :G=  F( H?
<HG<>GMK:M>= GBMKB< :<B= BG  F( H? =>BHGBS>= P:M>K $*+ FHE
(
0A> LNK?:<M:GM LMH<D LHENMBHGL P>K> IK>I:K>= ;R FBQBG@ MA> ?HEEHP
BG@ K>:@>GML BG  F( H? =>BHGBS>= P:M>K LH=BNF =H=><RE LNE?:M> / /
 @ A>Q:=><REMKBF>MARE:FFHGBNF ;KHFB=> 0  @ =H=>
<REMKBF>MARE:FFHGBNF ;KHFB=>  0  @ =H=><RE=BF>MARE:F
FHGBNF ;KHFB=>    @ =BH<MRE LNE?HLN<<BG:M> LH=BNF L:EM
+0  @ :G= =><RE=BF>MARE:FFHGBH IKHI:G>LNE?HG:M> BGG>K
L:EM /  @
0A> >QMK:<MBHG LHEO>GML ;NM:GHE H<M:GHE =><:GHE 
NG=><:GHE =H=><:GHE :G= >MARE :<>M:M> P>K> >O:EN:M>= /B@F:
E=KB<A /M (HNBL )+ 1/
0A> >??><ML H? : "> ' )@ )G *: :G= 6G  F@
( HG MA> =>M>KFBG:MBHG H? LNE?HG:FB=>L P>K> >O:EN:M>= BG INK> FBED
:G= FBED =HI>= PBMA MHM:E LNE?HG:FB=> LHENMBHGL  :G=  a@ (
)BED L:FIE>L H? LDBFF>= L>FBLDBFF>= PAHE> 1$0 NEMK:AB@A
M>FI>K:MNK> :G= I:LM>NKBS>= FBED ?KHF L>O>K:E F:GN?:<MNK>KL P>K>
INK<A:L>= ?KHF EH<:E LNIIEB>KL BG ,BK:<B<:;: /, K:SBE ?M>K HI>GBG@
MA> L:FIE>L P>K> LMHK>= BG IE:LMB< ;HMME>L :G= ?KHS>G ?HK E:M>K NL>
2.2. Apparatus
0H =>M>KFBG> MA> ;>LM P:R H? =BLI>KLBG@ MA> >QMK:<M:GM MAKHN@AHNM
MA> L:FIE> : OHKM>Q :@BM:MHK 2HKM>Q#>GB>  /<B>GMBc< %G=NLMKB>L %G<
HA>FB: *5 1/ FH=>E /% :G NEMK:LHGB< ;:MA -NBFBL /,
K:SBE FH=>E -  :G= :G HK;BM:E LA:D>K -NBFBL /, K:SBE
FH=>E -) P>K> >O:EN:M>= ,A:L> L>I:K:MBHG P:L :<<>E>K:M>= NLBG@
: <>GMKB?N@> -NBFBL /, K:SBE FH=>E -0)
B@BM:E BF:@>L F>:LNK>F>GML P>K> I>K?HKF>= NLBG@ :G LNL 6>G
"HG> LF:KMIAHG> FH=>E 6'( PBMA :  F>@:IBQ>E <:F>K: PBMA
PAB<A IK>L>GML : K>LHENMBHG H?  g  IBQ>EL 0A> ?K>> :IIEB<:
MBHG HEHK#K:; (HHF:MBQ^ O>KLBHG   P:L NL>= MH <HGO>KM
MA> BF:@>L BGMH .# <A:GG>EL 0ABL LMN=R P:L I>K?HKF>= NMBEBSBG@ MA> #
<A:GG>E ?KHF MA> .# LRLM>F
/MRKH?H:F ;HQ  <F AB@A  <F PB=MA :G=  <F =>>I P:L
:=:IM>= MH BGL>KM MA> !II>G=HK?^ MN;>L :G= : LNIIHKM P:L NL>= MH cQ
MA> LF:KMIAHG>  <F ?KHF MA> F>:LNK>F>GM MN;> ,AHMHF>MKB< F>:
LNK>F>GML P>K> <:KKB>= HNM :M MA> <>GM>K H? MA> MN;> PBMA : K>@BHG H? BG
UNCORRECTED PROOF
L.A. Maroubo et al. Microchemical Journal xxx (xxxx) 106657
M>K>LM (! ;:L>= E:FI PBMA  AB@A ;KB@AMG>LL (! /)   3
 2 IHP>K>= ;R : EBMABNF ;:MM>KR 'B:G /VH #HGW:EH .& K:SBE P:L
<HNIE>= MH MA> ;HMMHF H? MA> ;HQ MH D>>I MA> BEENFBG:MBHG <HGLM:GM =NK
BG@ MA> IAHMHF>MKB< F>:LNK>F>GML
2.3. Clean-up procedure
/:FIE> <E>:GNI P:L <:KKB>= HNM :<<HK=BG@ MH *:L<BF>GMH >M :E
 78 BG PAB<A  F( H?  FHE (0 P:L :==>= MH
 F( H? FBED 0ABL P:L LA:D>G PBMA :G HK;BM:E LA:D>K ?HK  FBG :M
 KIF :G= <>GMKB?N@>= ?HK  FBG :M  KIF
2.4. Surfactant-based DLLME procedure
EBJNHML  F( H? MA> LM:G=:K= HK <E>:K LHENMBHG <HGM:BGBG@ MA>
:G:ERM> P>K> FBQ>= PBMA  F( p   FFHE ( BG $*+
 FHE (  F( H? / /  FHE ( :G=  F( ;NM:GHE
"B@  LM>I  0A> :G:ERM> P:L OHKM>Q>= ?HK  FBG LM>I  :G= <>G
MKB?N@>= MH :<<>E>K:M> IA:L> L>I:K:MBHG ?HK  FBG :M  KIF LM>I
 0A> =B@BM:E F>:LNK>F>GML P>K> MA>G <:KKB>= HNM =BK><MER BG MA> NI
I>K IA:L> LM>I 
2.5. Reference procedure
0A> L:FIE> <E>:GNI P:L LM:KM>= BG MA> L:F> P:R :L BG BM>F  ?HE
EHP>= ;R MA> :==BMBHG H?  F( H?  FO H? 0KBMHG 4 BG
 F( H? MA> LNI>KG:M:GM ?HK <EHN= IHBGM >QMK:<MBHG 78 0A> FBQMNK>
P:L A>:M>= BG : P:M>K ;:MA :M  ] ?HK  FBG MH BG=N<> <EHN= IHBGM
<>GMKB?N@>= ?HK  FBG :M  KIF ?HK IA:L> L>I:K:MBHG :G= MA> I$ P:L
:=CNLM>= MH  BG MA> LNI>KG:M:GM IKBHK MH $,( BGC><MBHG
$B@A ,>K?HKF:G<> (BJNB= AKHF:MH@K:IAR 78 PBMA 12 =>M><MBHG
:M  GF P:L >FIEHR>= ?HK LNE?HG:FB=>L =>M><MBHG #%(!*0 FH=>E
 />KB>L 23 >M><MHK <HENFG #%(!*0 !<EBIL> 4   <HE
NFG  FF g  FF B= g I:KMB<E> LBS>  aF P:L NL>= ?HK L>I:K:
MBHG 0A> FH;BE> IA:L> <HGLBLM>= H? :G :JN>HNL LHENMBHG H? :<>MHGBMKBE>
LHEO>GM  :G=  ?HKFB< :<B= LHEO>GM  P:L :M : dHP K:M> H?  F(
FBG #K:=B>GM >ENMBHG P:L I>K?HKF>= :L ?HEEHPL BGBMB:E <HG<>GMK:MBHG H?
  EBG>:KER BG<K>:L>= MH  BG  FBG :G= MA>G EBG>:KBMR BG<K>:L>=
MH  BG  FBG A>E= :M  ?HK  FBG K>MNKG>= MH BGBMB:E <HG=BMBHG BG
 FBG
3. Results and discussion
0A> >QMK:<MBHG :G= IK><HG<>GMK:MBHG H? LNE?HG:FB=>L BG FBED P:L
;:L>= HG MA> ?HKF:MBHG H? :G BFBG> L:EM MAKHN@A MA> <HG=>GL:MBHG K>:<
MBHG ;>MP>>G MA> IKHMHG:M>= :FBGH @KHNI H? MA> LNE?HG:FB=>L :G= MA>
<:K;HGRE @KHNI H? MA> <AKHFHIAHK> p  BG :<B= F>=BNF 78
0ABL IKH<>LL P:L :LLBLM>= ;R : LNK?:<M:GM :G= MA> IHLM>KBHK :==BMBHG H? :
=BLI>KL>K>QMK:<MBHG LHEO>GM 0ABL K>:<MBHG IKH=N<>L : IBGD BFBG> L:EM
/<AB??L ;:L> PBMA F:QBFNF :;LHKIMBHG :M λ  GF B@BM:E F>:
LNK>F>GML P>K> >FIEHR>= NMBEBSBG@ MA> .# LRLM>F LI><B?B<:EER MA> #
<A:GG>E PAB<A K>IK>L>GML : <HFIE>F>GM:KR <HEHK
3.1. Optimization of experimental parameters
0A> <A>FB<:E :G= IARLB<:E >QI>KBF>GM:E I:K:F>M>K HIMBFBS:MBHGL
LN<A :L OHENF> :G= K>:@>GM <HG<>GMK:MBHG OHENF> H? >QMK:<M:GM LHE
O>GM :G= MA> MRI> :G= MBF> H? :@BM:MBHG :G= <>GMKB?N@:MBHG P>K> I>K
?HKF>= LH MA:M MA> AB@A>LM :G:ERMB<:E K>LIHGL>L <HNE= ;> :<AB>O>= FBGB
FBSBG@ MA> >FIEHRF>GM H? HK@:GB< LHEO>GML :G= K>=N<BG@ MA> >QI>KB
F>GM:E IKH<>=NK> LM>IL
3.1.1. Type and acid concentration
0A> IKHIHL>= F>MAH= BL ;:L>= HG MA> K>:<MBHG ;>MP>>G LNE?HG
:FB=>L :G= p  BG MA> IK>L>G<> H? :G :<B= :G= : LNK?:<M:GM PAB<A
IKH=N<>L :G BFBG> L:EM /NE?HG:FB=>L A:O> : ?K>> I:BK H? >E><MKHGL HG
MA> GBMKH@>G :MHF :G= MABL >E><MKHG I:BK <:G K>:<M PBMA :G >E><MKHG :<
<>IMHK LN<A :L p  NG=>K :<B=B< <HG=BMBHGL BG MA> FB<>EE:K F>=BNF
78 0A>K>?HK> BM BL G><>LL:KR MH HIMBFBS> MA> MRI> :G= <HG<>GMK:
MBHG H? :<B= 0ANL =B??>K>GM cG:E <HG<>GMK:MBHGL H? AR=KH<AEHKB< :G= GB
MKB< :<B=L P>K> >O:EN:M>= ?M>K M>LMBG@ <HG<>GMK:MBHGL BG MA> K:G@> H?
 MH  FHE ( MA> ;>LM :G:ERMB<:E K>LIHGL> P:L H;L>KO>= ?HK
GBMKB< :<B= :M : cG:E <HG<>GMK:MBHG H?  FHE (?HK IKHMHG:MBHG H?
LNE?HG:FB=>L "B@ :
3.1.2. Type and surfactant concentration
GHMA>K BFIHKM:GM I:K:F>M>K MA:M P:L HIMBFBS>= BL MA> BHGB<
LMK>G@MA /:EM :==BMBHG <:G BFIKHO> MA> >QMK:<MBHG ;R =><K>:LBG@ MA> :G
:ERM> LHEN;BEBMR BG MA> :JN>HNL IA:L> :G= BG<K>:LBG@ MA> >QMK:<MBHG K:M>
?HK MA> HK@:GB< IA:L> 78
%G LHF> <:L>L LNK?:<M:GML <:G ;> NL>= :L =BLI>KLBG@ LHEO>GML ;><:NL>
H? MA>BK LHEN;BEBMR BG MA> :JN>HNL :G= HK@:GB< IA:L>L :G= MA>BK :;BEBMR MH
=><K>:L> MA> LNK?:<> M>GLBHG ;>MP>>G MA>F $HP>O>K MA>K> BL : KBLD
MA:M LHF> LNK?:<M:GM <:G ;> >QMK:<M>= ?KHF MA> :JN>HNL L:FIE> :EHG@
PBMA MA> >QMK:<MHK LHEO>GM :G= MABL IKH;E>F EBFBML MA> <AHB<> H? =>M><
MBHG LRLM>F 78 .><>GMER LMN=B>L HG (()! A:O> BGMKH=N<>= LNK?:<
M:GML :L =BLI>KL>K :@>GML %G MABL F>MAH= :G >GOBKHGF>GM:EER ?KB>G=ER
BHGB< LNK?:<M:GM P:L NL>= :L : =BLI>KL>K :@>GM BGLM>:= H? MHQB< HK@:GB<
LHEO>GM 78
%G MABL LMN=R MAK>> <:MBHGB< LNK?:<M:GML 0 0 :G= 
MPH :GBHGB< LNK?:<M:GML / / :G= +0 :G= SPBMM>KBHGB< / P>K>
BGO>LMB@:M>= ?HK MA>BK >??><M HG (()! I>K?HKF:G<> 0A> ;>LM K>LNEML
P>K> H;L>KO>= PBMA MA> :GBHGB< LNK?:<M:GML 0ABL BL ;>EB>O>= MH ;> ;>
<:NL> MA> K>:<MBHG F>=BNF <HGM:BG>= IHLBMBO> <A:K@>L ?KHF MA> IK>OB
HNLER :==>= GBMKB< :<B= FHG@ MA> :GBHGB< LNK?:<M:GML / / ?:OHK>= MA>
?HKF:MBHG H? BFBG> L:EM :G= :??HK=>= MA> AB@A>LM IK><HG<>GMK:MBHG ?:<
Fig. 1. /BFIEBc>= =B:@K:F LAHPBG@ MA> LM>IL BGOHEO>= BG (()! : HMMHFE>LL /MRKH?H:F ;HQ A>B@AM  <F PB=MA <F =>IMA  <F ; !F>K@>G<R >QBM (!
EB@AM
UNCORRECTED PROOF
L.A. Maroubo et al. Microchemical Journal xxx (xxxx) 106657
Fig. 2. +IMBFBS:MBHG H? MA> MRI> :G= <HG<>GMK:MBHG H? MA> :<B= :G= LNK?:<M:GM : (BG> @K:IA LAHPBG@ MA> :O>K:@> K>d><M:G<> :<AB>O>= ;R =B@BM:E F>:LNK>F>GML
<A:GG>E # ?KHF MA> .# LRLM>F BG =B??>K>GM cG:E <HG<>GMK:MBHGL H? $E  :G= $*+ .:G@> >O:EN:M>=  FHE ( !QI>KBF>GM:E <HG=BMBHGL
 F( H?  FHE (/ /  F( H?  FFHE (H? p   F( H? ;NM:GHE /:FIE>  F(  a@ (LNE?HG:FB=>L ; :K @K:IA LAHPBG@ MA> :O
>K:@> K>d><M:G<> :M =B??>K>GM cG:E / / <HG<>GMK:MBHGL .:G@> >O:EN:M>=  FFHE ( !QI>KBF>GM:E <HG=BMBHGL  F( H?  FHE ($*+  F( H?
 FFHE (H? p   F( H? ;NM:GHE /:FIE>  F(  a@ (LNE?HG:FB=>L ,ARLB<:E I:K:F>M>KL ?HK ;HMA >QI>KBF>GML OHKM>Q MBF>  FBG <>GMKB?N
@:MBHG  FBG  KIF OHENF> H? <HEE><M>= >QMK:<M  F( !KKHK ;:KL <HKK>LIHG= MH MA> LM:G=:K= =>OB:MBHG G  
MHK A>G<> BM P:L L>E><M>= :L MA> HIMBF:E =BLI>KL>K :@>GM /N;L>JN>GMER
/ / P:L >O:EN:M>= :M : cG:E <HG<>GMK:MBHG H?  F( "B@ ; 0ANL
MA> / / <HG<>GMK:MBHG P:L >O:EN:M>= BG MA> K:G@> H?  MH  FFHE (
:G= P:L ?HNG= MH =>FHGLMK:M> : ;>MM>K :G:ERMB<:E K>LIHGL> :M : cG:E
<HG<>GMK:MBHG H?  FFHE ( %M P:L :ELH H;L>KO>= MA:M :M AB@A>K <HG
<>GMK:MBHGL :?M>K >QMK:<MBHG :G= <>GMKB?N@:MBHG MA> ?HKF>= IA:L> ;>
<:F> <EHN=R 0ABL IA>GHF>GHG BL ;>EB>O>= MH ;> <:NL>= ;R :G BG<K>:L>
BG MA> LHEN;BEBMR H? / / BG MA> L:FIE> :G= ;R : =><K>:L> BG MA> LHEN;BEBMR
H? MA> >QMK:<MBG@ LHEO>GM PAB<A BGM>K?>K>= PBMA MA> ?HKF:MBHG H? MA>
BFBG> L:EM MA> FHE:K :;LHKIMBOBMR H? MA> ?HKF>= <HFIHNG= MA> K><HO
>KR H? MA> LNE?HG:FB=>L :G= <HGL>JN>GMER : =><K>:L> BG MA> >GKB<A
F>GM ?:<MHK 78
3.1.3. Extraction solvent
0H ?:<BEBM:M> BG LBMN :G:ERLBL MA> ?HEEHPBG@ EHP=>GLBMR >QMK:<MBG@
LHEO>GML P>K> >O:EN:M>= ;NM:GHE H<M:GHE =><:GHE NG=><:GHE
:G= =H=><:GHE "HK >:<A M>LM  F( H? LHEO>GM P:L NL>= 0A> K>
LNEML =>FHGLMK:M> MA:M :EMAHN@A MA> LHEO>GML M>LM>= :K> E>LL =>GL> MA:G
P:M>K PBMA <EHL> O:EN>L  @ <F:M  ' MA> LHEO>GML
=B??>K BG MA>BK =>@K>> H? LHEN;BEBMR BG P:M>K :<<HK=BG@ MH MA> LBS> H? MA>BK
<:K;HG <A:BG ;><:NL> MA> E:K@>K MA> LHEO>GM FHE><NE> MA> FHK> GHGIH
E:K :G= BGLHEN;E> BM ;><HF>L BG :G :JN>HNL F>=BNF 3ABE> MA> HMA>K
LHEO>GML A:O> LHEN;BEBMR O:EN>L H? :IIKHQBF:M>ER  @ <F:M
 ' ;NM:GHE A:L : LHEN;BEBMR H?  @ <FPAB<A ?:<BEBM:M>L =BL
I>KLBHG BG MA> L:FIE> ;R L>E><MBO>ER >QMK:<MBG@ MA> =>LBK>= LI><B>L "B@

0H BFIKHO> MA> >QMK:<MBHG >?c<B>G<R :G= H;M:BG : AB@A >GKB<AF>GM
?:<MHK : L<K>>GBG@ P:L <:KKB>= HNM MH >O:EN:M> MA> OHENF> H? ;NM:GHE
0A> K:G@> ?KHF  MH  F( P:L LMN=B>= D>>IBG@ MA> cG:E HIMBFBS>=
<HG<>GMK:MBHG H? MA> K>:@>GML /BG<> MA>K> P:L GH LB@GB?B<:GM =B??>K>G<>
BG MA> F>:LNK>F>GML ?HK OHENF>L :;HO>  F( H? ;NM:GHE
3.1.4. Factorial designs
0H HIMBFBS> MA> <A>FB<:E :G= IARLB<:E >QI>KBF>GM:E I:K:F>M>KL
?:<MHKB:E =>LB@GL L<K>>GBG@L P>K> <:KKB>= HNM MH HIMBFBS> MA> FH=>L
:G= LA:DBG@ MBF>L 0ANL NEMK:LHNG= HK;BM:E LA:DBG@ :G= OHKM>Q P>K>
>O:EN:M>= :M  :G=  FBG :M AB@A IHP>K L >QI><M>= OHKM>Q LA:DBG@
IKHOB=>= ;>MM>K >QMK:<MBHG H? LNE?HG:FB=>L ?KHF FBED L:FIE>L LBG<>
MABL FH=> P:L FHK> BGM>GL> %G :==BMBHG MA>K> P>K> GH LB@GB?B<:GM =B?
?>K>G<>L ;>MP>>G  :G=  FBG 0A>K>?HK> PBMA MA> :BF H? =>O>EHIBG@ :
?:LM>K IKH<>=NK> MA> OHKM>Q FH=> P:L L>E><M>= :EHG@ PBMA : LA:DBG@
MBF> H?  FBG
/N;L>JN>GMER MPH ?:<MHKB:E =>LB@GL P>K> IKHIHL>= PBMA MAK>>
<>GMK:E :G= :QB:E IHBGML 0A> IK>L>GM>= =>LB@G BG<EN=>=  >QI>KBF>GML
Fig. 3. +IMBFBS:MBHG H? >QMK:<MBHG LHEO>GM MRI> !QI>KBF>GM:E <HG=BMBHGL LHE
O>GM OHENF>  F(  F( H?  FFHE (p   F( H?  FHE
($*+  F( H?  FHE (/ / /:FIE>  F(  a@ (/L
OHKM>Q MBF>  FBG <>GMKB?N@:MBHG  FBG  KIF 2HENF> H? <HEE><M>=
>QMK:<M  F( !KKHK ;:KL <HKK>LIHG= MH MA> LM:G=:K= =>OB:MBHG G  
BG >:<A =>LB@G I>K?HKF>= BG : K:G=HFBS>= HK=>K MH FBGBFBS> :GR >KKHKL
0:;E>  0A> <A>FB<:E <HG=BMBHGL <HGLB=>K>= P>K> L:FIE> OHENF> x1
 F( :G= LHEO>GM x2  F( MA> IARLB<:E <HG=B
MBHGL <HGLB=>K>= P>K> MBF> x3  FBG :G= <>GMKB?N@> LI>>= x4
 KIF %G ;HMA <:L>L :G " M>LM P:L :IIEB>= ?HK K>@K>LLBHG
:G= K>LB=N> :G= MH >O:EN:M> MA> E:<D H? cM :G= INK> >KKHK 0A> K>LNEML
=>FHGLMK:M> MA:M MA> K:MBH ;>MP>>G MA> <:E<NE:M>= :G= M:;NE:M>= " O:E
N>L K>F:BG>=  :G= MA> E:<D H? :=CNLMF>GM P:L =>FHGLMK:MBG@
MA:M MA> IKHIHL>= FH=>E BL :<<>IM:;E> 0A> >QI>KBF>GM:E =:M: P>K> <HK
Table 1
?:<MHKB:E =>LB@GL IKHIHL>= PBMA MAK>> <>GMK:E IHBGML :G= :QB:E IHBGML
,:K:F>M>KL 2:KB:;E> (>O>EL
   
A>FB<:E /:FIE> F(    
/HEO>GM F(    
,ARLB<:E 0BF> FBG 
/I>>= KIF     
/:FIE> =HI>= :M  a@ (/L
UNCORRECTED PROOF
L.A. Maroubo et al. Microchemical Journal xxx (xxxx) 106657
Fig. 4. +IMBFBS:MBHG H? >QI>KBF>GM:E I:K:F>M>KL : A>FB<:E L:FIE> OHENF> :G= >QMK:<MBHG LHEO>GM ; ,ARLB<:E <>GMKB?N@> LI>>= :G= MBF> !QI>KBF>GM:E <HG=B
MBHGL  F( H?  FFHE (p   F( H?  FHE ($*+  F( H?  FHE (/ /
K>E:M>= :G= :G >FIBKB<:E K>E:MBHGLABI ;>MP>>G MA> K>LIHGL> :G= MA>
O:KB:;E>L P:L >QIK>LL>= ;R MA> ?HEEHPBG@ cMMBG@ L><HG=HK=>K IHERGH
FB:EL !J  :G=  "KHF MA> K>LNEML PBMA MA> FHLM LB@GB?B<:GM <H>?c
<B>GML BM P:L IHLLB;E> MH H;M:BG : K>LIHGL> LNK?:<> :G= MA> JN:=K:MB< K>
@K>LLBHG FH=>E ?HK MA> =:M: H;M:BG>= <:G ;> >QIK>LL>= :L


L =>FHGLMK:M>= MA> JN:=K:MB< M>KFL A:O> MA> @K>:M>LM BGdN>G<> HG
MA> >QMK:<MBHG >?c<B>G<R 0ABL BL <HGLBLM>GM PBMA K>IHKML BG MA> EBM>K:MNK>
78
"KHF MA> IK>>LM:;EBLA>= K>:<MBHG <HG=BMBHGL  F( H?
 FFHE (p   F( H?  FHE ($*+ :G=  F( H?
 FHE (/ / :G= MAKHN@A LHEOBG@ MA> !JN:MBHGL  :G=  MA>
HIMBFNF >QI>KBF>GM:E <HG=BMBHGL P>K> ?HNG= MH ;>  F( H? ;HMA
L:FIE> :G= ;NM:GHE "B@ :  FBG H? OHKM>QBG@ :M AB@A LI>>= :G=
 FBG H? <>GMKB?N@:MBHG :M  KIF "B@ ;
0H ?NKMA>K K>=N<> MA> OHENF> H? MA> >QMK:<MBHG LHEO>GM MA> IKH<>
=NK> P:L I>K?HKF>= :L =>L<KB;>= BG BM>FL  :G=  :G= <HFI:K>= MH
MA> IK>OBHNLER HIMBFBS>= IKH<>=NK> :EB;K:MBHG <NKO>L P>K> H;M:BG>=
?HK >QMK:<MBHG PBMA  :G=  F( H? ;NM:GHE 0A> ;>LM EBG>:K K>
LIHGL> H;L>KO>= BG MA> K:G@> H?  :G=  a@ (P:L IKH=N<>= PBMA
 F( H? ;NM:GHE 0A>L> K>LNEML >QAB;BM>= : L>GLBMBOBMR ?HE= AB@A>K
MA:G PBMA  F( ;NM:GHE %M BL CNLMBc>= MA:M : EHP>K OHENF> H? LHE
O>GM BG<K>:L>L MA> IK><HG<>GMK:MBHG ?:<MHK
3.2. Analytical features
 EBG>:K K>LIHGL> P:L H;L>KO>= ;>MP>>G  :G=  a@ ( :L >Q
IK>LL>= ;R MA> >JN:MBHG G:ERMB<:E LB@G:E     a@ (
.  0A> <H>?c<B>GM H? O:KB:MBHG G    a@ (MHM:E
LNE?HG:FB=>L :G= MA> =>M><MBHG EBFBM P>K> >LMBF:M>= MH ;>  :G=
 a@ ( K>LI><MBO>ER "HK  F( H? L:FIE>  F@ I 
 F@ / /  F@ H? 0 :G=  F( ;NM:GHE P>K> <HG
LNF>= :G= MABL K>LNEM>= BG MA> @>G>K:MBHG H?  F( H? P:LM>
3.3. Effect of concomitant species
0A> >??><M H? IHM>GMB:E BGM>K?>KBG@ LI><B>L : "> ' )@
)G *: :G= 6G HG LNE?HG:FB=> =>M>KFBG:MBHG P:L >O:EN:M>=
/HENMBHGL H?  a@ (LNE?HG:FB=> BG FBED <HGM:BGBG@  F@ (H?
>:<A LI><B>L P:L >FIEHR>= 0A> K>LNEML P>K> <HFI:K>= MH MAHL> H;
M:BG>= BG MA> :;L>G<> H? <HG<HFBM:GM =KN@L 0A>L> ?HK>B@G BHGL =B= GHM
<:NL> BGM>K?>K>G<> LB@G:E O:KB:MBHG   BG MA> IKHIHL>= IKH<>=NK>
3.4. Applications and validation
"HNK L:FIE>L H? ;HOBG> FBED P>K> :G:ERS>= NLBG@ MA> :==B<MBHG
K><HO>KR F>MAH= 0A> IKHIHL>= IKH<>=NK> P:L :IIEB>= MH =>M>KFBG>
MA> MHM:E LNE?HG:FB=>L BG ;HOBG> FBED :?M>K MA> L:FIE>L P>K> >GKB<A>=
PBMA  :G=  a@ (:G= =HG> BG MKBIEB<:M>L 0A> K>LNEML :K> LAHPG BG
0:;E>  K><HO>KR O:EN>L H?  :G=  P>K> H;M:BG>= BG=B<:MBG@
MA> :;L>G<> H? F:MKBQ >??><ML :G= =>FHGLMK:MBG@ MA> :<<NK:<R H? MA> =>
O>EHI>= IKH<>=NK> 0A> IKHIHL>= IKH<>=NK> P:L MA>G :IIEB>= MH LNE?HG
:FB=>L =>M>KFBG:MBHG BG FBED :?M>K L:FIE> LIBDBG@ :G= MA> K>LNEML
0:;E>  :@K>>= PBMA MA> K>?>K>G<> IKH<>=NK> ;:L>= HG $,( 78 PBMA
:  <HGc=>G<> E>O>E
%G <HFI:KBLHG PBMA HMA>K (()! F>MAH=L ?HK MA> :G:ERLBL H? LNE?HG
:FB=>L BG FBED 0:;E>  MA> :G:ERMB<:E <A:K:<M>KBLMB<L H;M:BG>= PBMA
MA> IKHIHL>= IKH<>=NK> P>K> L:MBL?:<MHKR K>:<ABG@ K><HO>KR O:EN>L
PBMABG MA> >QI><M>= K:G@> 0A> =>M><MBHG EBFBM  a@ (MHM:E LNE?HG
:FB=>L BL ;>EHP MA> F:QBFNF =>M><MBHG EBFBM >LM:;EBLA>= ;R MA> K>@N
E:MHKR :@>G<B>L H?  a@ (MHM:E LNE?HG:FB=>L BG ;HOBG> FBED
Table 2
==B<MBHGK><HO>KR >QI>KBF>GM H? LNE?HG:FB=>L BG ;HOBG> FBED L:FIE>L
)BED L:FIE> /NE?HG:FB=>L a@ (
/IBD>= "HNG= .><HO>KR  /IBD>= "HNG= .><HO>KR 
3AHE> 1$0    `     ` 
3AHE> 1$0    `     ` 
3AHE> 1$0    `     ` 
/DBFF>= 1$0    `     ` 
!QI>KBF>GM:E <HG=BMBHGL  μ( PA>R IK>OBHNLER >QMK:<M>= PBMA  F( H?
 FHE (0  F( H?  FFHE (p  BG  FHE ($*+
 μ( H?  FHE (/ /  F( H? ;NM:GHE OHKM>Q MBF> FBG <>G
MKB?N@:MBHG  FBG  KIF /M:G=:K= =>OB:MBHG <HKK>LIHG=L MH :G:ERLBL
BG MKBIEB<:M> G  
Table 3
)>:G O:EN>L :G= >LMBF:M>L G   ?HK LNE?HG:FB=>L =>M>KFBG:MBHG BG FBED
:?M>K :==BMBHG H?  HK  a@ (LNE?HG:FB=>L
/:FIE> /NE?HG:FB=>L a@ (
,KHIHL>= IKH<>=NK> .>?>K>G<> IKH<>=NK> 78
 `   ` 
 `   ` 
 `   ` 
 `   ` 
 `   ` 
 `   ` 
UNCORRECTED PROOF
Table 4
G:ERMB<:E ?>:MNK>L H? LHF> FB<KH>QMK:<MBHG F>MAH=L ?HK MA> =>M>KFBG:MBHG H? LNE?HG:FB=>L BG FBED L:FIE>L
!QMK:<MBHG
0RI>
E>:GNI K>:@>GML !QMK:<MBHG=BLI>KLBO> LHEO>GM G:ERLBL K>:@>GML >M>KFBG:MBHG
F>MAH=
,KH<>=NK>
MBF> FBG
>M>KFBG:MBHG
MBF> FBG
(BG>:K K:G@>
μ@ (
(+
a@ (
.>?>K>G<>
(()! 0 AEHKH?HKF  F(*
 F(
"ENHK>L<:FBG> .,$,("(    

78
-N!A!./ )@/+*:ELH=BNF
<BMK:M>$*:+,/
 :<>MB< :<B= BG
*dNHK>L<:FBG>0KBL ;Ne>K
.,$,("(    

78
1%(%(
(()!
+KMAHIAHLIAHKB< :<B=*$,"7)%)87,"8
 a( 7)%)87"8 a(
* ?HKFB< :<B= .,$,(,      78
%() (()! 0 LH=BNF :<>M:M> ;Ne>K 7)%)87,"8
 a(*:EF>MA:GHE
 F(
*dNHK>L<:FBG> $,("(    

78
)%( (()! 0FFHGBNFAR=KHQB=> )%( IHP=>K*="> F:@G>MB< ;:K ',":JN>HNL LHENMBHG $,(12   

78
/NK?:<M:GM
;:L>=
(()!
0 ;NM:GHE F( p  B@BM:E
BF:@>LF>:LNK>F>GML
    0ABL PHKD
* :<>MHGBMKBE> (()! BLI>KLBO> (BJNB=(BJNB= )B<KH>QMK:<MBHG $,("( AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR PBMA =>M><MBHG ;R dNHK>L<>G<> %() (()! %HGB< EBJNB=;:L>= FB<KHP:O>:LLBLM>= =BL
I>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG )%( (()! F:@G>MB< BHGB< EBJNB= =BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG p  =BF>MARE:FBGH<BGG:F:E=>AR=> ,/ IKBF:KR :G= L><HG=:KR :FBG> -N!A!./
-NB<D !:LR A>:I !??><MBO> .N@@>= /:?> .,$,("( K>O>KL>= IA:L> AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR NLBG@ : dNHK>L<>G<> =>M><MHK .,$,(,  K>O>KL>= IA:L> AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@
K:IAR PBMA =>M><MBHG ;R IAHMH=BH=> :KK:R 0 MKB<AEHKH:<>MB< :<B= 1%(%( (()! 1EMK:LHNG=:LLBLM>= BHGB< EBJNB=;:L>= =BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG
UNCORRECTED PROOF
L.A. Maroubo et al. Microchemical Journal xxx (xxxx) 106657
0A> L:FIE> IK>I:K:MBHG LM>I H? MA> IKHIHL>= IKH<>=NK> =B??>KL ?KHF
MA> -N!A!./ F>MAH=HEH@R ;R HGER HG> LM>I MA> :==BMBHG H? : 0 LH
ENMBHG 78 0A> -N!A!./ F>MAH=HEH@R >FIEHRL L>O>K:E LM>IL LN<A :L
>QMK:<MBHG PBMA LHEO>GM :G= L:EMBG@ HNM L>I:K:MBHG E>:GNI PBMA ,/ BL
MA> FHLM E:;HKBHNL I:KM H? MA> IKH<>=NK> :G= BM BG<K>:L>L MA> <A:G<> H?
>KKHK ;>MP>>G MA> :G:ERL>L 0A> L:F> H<<NKL PBMA MA> NL> H? IKH<>=NK>L
BGOHEOBG@ BHGB< EBJNB=L PAB<A BG :==BMBHG MH L>O>K:E L:FIE> IK>I:K:
MBHG LM>IL K>JNBK> : =BENMBHG LM>I PBMA :<>MHGBMKBE> ?HK $,( :G:ERLBL
78
0A> F:BG :=O:GM:@> H? MA> IKHIHL>= IKH<>=NK> BL MA> IHLLB;BEBMR H?
>QIEHBMBG@ =B@BM:E F>:LNK>F>GML ?HK LNE?HG:FB=> JN:GMBc<:MBHG BG FBED
PBMA :<<>LLB;E> :G= EHP<HLM >JNBIF>GM LN<A :L : LF:KMIAHG> %G :==B
MBHG MH MA> LAHKM MBF> K>JNBK>= MH I>K?HKF MA> IKHIHL>= IKH<>=NK> :I
IKHQBF:M>ER  FBG <HFI:K>= MH MA> EBM>K:MNK> 78
GHMA>K :=O:GM:@> H? MA> IKHIHL>= IKH<>=NK> BL MA> <HGLB=>K:;ER
EHP K>:@>GM <HGLNFIMBHG MANL <:NLBG@ MA> P:LM> @>G>K:MBHG :G= MA>
NL> H? MHQB< HK@:GB< LHEO>GML LN<A :L * <AEHKH?HKF 78
F>MA:GHE 78 HKMAHIAHLIAHKB< :<B= :FFHGBNF A>Q:dNHKHIAHLIA:M>
:G= ?HKFB< :<B= 78 %G MABL LMN=R I>K =>M>KFBG:MBHG ?>P OHENF>L H?
K>:@>GML  F( p  BG $*+F>=BNF :G=  F( H? / / :G= >G
OBKHGF>GM:EER ?KB>G=ER HK@:GB< LHEO>GM  F( H? ;NM:GHE :K> NL>=
@>G>K:MBG@ ?>P FB<KHEBM>KL H? EHP MHQB<BMR K>LB=N> 3BMA MA> IKHIHL>=
F>MAH= <HGLNFIMBHG BL K>=N<>= ;R :IIKHQBF:M>ER  <HFI:K>= MH :
MRIB<:E -N!A!./ F>MAH= PBMA $,("( =>M><MBHG :G= BL ?HE= EHP>K
MA:G MA:M H? (()! PBMA =>KBO:MBS:MBHG ;R dNHK>L<:FBG> 78 0ANL
MA> IKHIHL>= IKH<>=NK> P:L LB@GB?B<:GMER @K>>G>K MA:G MAHL> IK>OBHNLER
K>IHKM>= :G= F:R A:O> : AB@AER ;>G>c<B:E >??><M MAKHN@A MA> K>=N<MBHG
H? ;HMA <HLM :G= P:LM> @>G>K:MBHG
4. Conclusions
0A> EBJNB=EBJNB= =BLI>KLBO> FB<KH>QMK:<MBHG F>MAH= PBMA =B@BM:E
BF:@> =>M>KFBG:MBHG BL ?:LM >:LR >?c<B>GM L>E><MBO> :G= L>GLBMBO> ?HK
MA> =>M><MBHG H? MHM:E LNE?HG:FB=>L PBMAHNM BGM>K?>K>G<> ?KHF ?HK>B@G
BHGL :M <HG<>GMK:MBHGL :;HO> MAHL> ?HNG= BG ;HOBG> FBED L:FIE>L
%G :==BMBHG BM P:L =>FHGLMK:M>= MH ;> <A>:I>K L:?>K :G= FHK> >G
OBKHGF>GM:EER ?KB>G=ER ;><:NL> H? MA> EHP>K <HGLNFIMBHG H? MHQB<
K>:@>GML <HFI:K>= MH HMA>K F>MAH=L K>IHKM>= BG MA> EBM>K:MNK> 0A>
F>MAH= IKHO>= MH ;> LN?c<B>GMER IK><BL> :G= :<<NK:M> IKHOB=BG@ :G :M
MK:<MBO> :EM>KG:MBO> ?HK MA> =>M><MBHG H? LNE?HG:FB=> :GMB;BHMB<L BG
;HOBG> FBED
Uncited reference
78
Declaration of Competing Interest
3:G>LL: . )>E<A>KM K>IHKML cG:G<B:E LNIIHKM P:L IKHOB=>= ;R
/M:M> H? /:H ,:NEH .>L>:K<A "HNG=:MBHG
Acknowledgements
0A> :NMAHKL :<DGHPE>=@> MA> cG:G<B:E LNIIHKM ?KHF MA> K:SBEB:G
#HO>KGF>GM @>G<B>L BG<EN=BG@ MA> HHK=BG:MBHG ?HK MA> %FIKHO>F>GM
H? $B@A>K !=N<:MBHG ,>KLHGG>E  K:SBE ,!/  
 :G= /VH ,:NEH .>L>:K<A "HNG=:MBHG ",!/,  @K:GM 

References
78  )HGM:G:KH /NE?HG:FB=> EE>K@R %FFNGHE EE>K@R EBG *HKMA F  
  AMMIL=HBHK@/
78 ) >GH;BE> ! => / *:L<BF>GMH )>MAH= O:EB=:MBHG ?HK MA> =>M>KFBG:MBHG H? MA>
:GMB;BHMB<L K>LB=N>L HQRM>MK:<R<EBG> M>MK:<R<EBG> <AEHKM>MK:<R<EBG> :G= =HQR<R<EBG>
BG FBED ;R AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR .>O K:L B>G<B:L ":KF 
 
78 ) /MNFI? 0 0>KG>L .  3BED>G /2 .H=KB@N>L 3 :NF:GG ,HE:K =KN@
K>LB=N>L BG L>P:@> :G= G:MNK:E P:M>KL BG MA> LM:M> H? .BH => &:G>BKH K:SBE /<B 0HM:E
!GOBKHG    AMMIL=HBHK@/
78 $, .:G@ &) .BMM>K .& "EHP>K # $>G=>KLHG ":KF:<HEH@B: MA >= !EL>OB>K
.BH => &:G>BKH 
78 !NKHI>:G HFFBLLBHG !NKHI>:G HFFNGBMR HFFBLLBHG .>@NE:MBHG !! *H
 !! E:RBG@ =HPG : HFFNGBMR IKH<>=NK> ?HK MA> >LM:;EBLAF>GM H?
F:QBFNF K>LB=N> EBFBML H? O>M>KBG:KR F>=B<BG:E IKH=N<ML BG ?HH=LMN??L H? :GBF:E
HKB@BG +?? & !NK HFFNG   AMMIL><>NKHI:>NA>:EMALBM>L
=>?:NEMcE>LcE>L>N=K:E>QOHEK>@99K>@999>GI=? :<<>LL>=
):R  
78 *2%/ @YG<B: *:<BHG:E => 2B@BEUG<B: /:GBMTKB: .>LHENWVH . *2%/ GH 
=>  => L>M>F;KH =>  ,KH@K:F: => GTEBL> => .>LZ=NHL => )>=B<:F>GMHL
2>M>KBGTKBHL >F EBF>GMHL => +KB@>F GBF:E ,)2>M  AMMIPPPL@<
@HB:L@HO;KNIEH:=:KJNBOHLI:FO>MI=? :<<>LL>= ):R  
78 ), )BGBLMXKBH =: @KB<NEMNK: ,><NTKB: > ;:LM><BF>GMH %GLMKNWVH *HKF:MBO:
/  GH  =>  => =>S>F;KH =>  EM>K: H ,E:GH *:<BHG:E => HGMKHE> =>
.>LZ=NHL > HGM:FBG:GM>L >F ,KH=NMHL => +KB@>F GBF:E ,*.GBF:E BTKBH
+? : 1GBVH  
78 ./%( )BGBLMXKBH =: @KB<NEMNK: ,><NTKB: > ;:LM><BF>GMH %GLMKNWVH *HKF:MBO:
GH  =>  => =>S>F;KH =>  (>BM> MBIH  E>BM> <KN K>?KB@>K:=H E>BM>
I:LM>NKBS:=H <HE>M: => E>BM> <KN K>?KB@>K:=H > MK:GLIHKM> : @K:G>E BTKBH +? :
1GBVH  
78 %/ %;:KK: &) )BK:G=: & .H=KB@N>S  *>;HM  >I>=: ):@G>MB< LHEB= IA:L>
>QMK:<MBHG ?HEEHP>= ;R AB@AI>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR ?HK MA>
=>M>KFBG:MBHG H? LNEIAHG:FB=>L BG FBED L:FIE>L "HH= A>F   
AMMIL=HBHK@C?HH=<A>F
78 ! ':K:@>HK@HN * ):GHNLB 2 /:F:GB=HN  ':;BK '# "NKMHG ":;KB< IA:L>
LHKIMBO> >QMK:<MBHG ?HK MA> ?:LM BLHE:MBHG H? LNE?HG:FB=>L K>LB=N>L ?KHF K:P FBED
?HEEHP>= ;R AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR PBMA NEMK:OBHE>M =>M><MBHG
"HH= A>F    AMMIL=HBHK@C?HH=<A>F

78 / /N ) 6A:G@  (B $ 6A:G@ 4 HG@ $,( =>M>KFBG:MBHG H? LNE?:F>MA:SBG> BG
FBED NLBG@ LNK?:<>BFIKBGM>= LBEB<: LRGMA>LBS>= PBMA BGB?>KM>K M><AGBJN> 0:E:GM: 
   AMMIL=HBHK@CM:E:GM:
78 3 4N / /N , &B:G@ $ 3:G@ 4 HG@ ) 6A:G@ >M>KFBG:MBHG H? LNE?HG:FB=>L
BG ;HOBG> FBED PBMA <HENFGLPBM<ABG@ AB@A I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR
NLBG@ LNK?:<> BFIKBGM>= LBEB<: PBMA AR=KHIABEB< >QM>KG:E E:R>K :L K>LMKB<M>= :<<>LL
:G= L>E><MBO> >QMK:<MBHG F:M>KB:E & AKHF:MH@K     
AMMIL=HBHK@C<AKHF:
78 $ 5:G * /NG / (BN '$ .HP 5 /HG@ )BGB:MNKBS>= @K:IA>G>;:L>= IBI>MM> MBI
>QMK:<MBHG <HNIE>= PBMA EBJNB= <AKHF:MH@K:IAR ?HK MA> =>M>KFBG:MBHG H?
LNE?HG:FB=> K>LB=N>L BG ;HOBG> FBED "HH= A>F    AMMIL=HB
HK@C?HH=<A>F
78  5N  $N <H:M>= LMBK ;:K LHKIMBO> >QMK:<MBHG <HF;BG>= PBMA AB@A
I>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR>E><MKHLIK:R M:G=>F F:LL LI><MKHF>MKR ?HK
MA> :G:ERLBL H? LNE?HG:FB=>L BG FBED :G= FBED IHP=>K 0:E:GM:   
AMMIL=HBHK@CM:E:GM:
78 5 (B 4 3N 6 (B / 6AHG@ 3 3:G@  3:G@ & A>G ":;KB<:MBHG H?
H">+@K:IA>G> G:GH<HFIHLBM> :G= BML :IIEB<:MBHG BG MA> F:@G>MB< LHEB= IA:L>
>QMK:<MBHG H? LNE?HG:FB=>L ?KHF FBED L:FIE>L 0:E:GM:   
AMMIL=HBHK@CM:E:GM:
78 * KKHRH):GS:G:K>L ( #TFBS#K:<B: ) #:K<Z::FI:[: EM>KG:MBO> L:FIE>
MK>:MF>GML ?HK MA> =>M>KFBG:MBHG H? LNE?HG:FB=>L BG FBED ;R $,( PBMA dNHK>L<>G<>
=>M><MBHG "HH= A>F    AMMIL=HBHK@C?HH=<A>F

78 / #:H 4 5:G@ 3 5N 6 (BN $ 6A:G@ 1EMK:LHNG=:LLBLM>= BHGB< EBJNB=BHGB<
EBJNB==BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG ?HK MA> =>M>KFBG:MBHG H?
LNE?HG:FB=>L BG BG?:GM ?HKFNE: FBED IHP=>K NLBG@ AB@AI>K?HKF:G<> EBJNB=
<AKHF:MH@K:IAR 0:E:GM:    AMMIL=HBHK@CM:E:GM:

78 4 #NH 5BG & ,>G@ 4 $N %HGB< EBJNB=;:L>= LBG@E>=KHI EBJNB=IA:L>
FB<KH>QMK:<MBHG <HF;BG>= PBMA AB@AI>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR ?HK MA>
=>M>KFBG:MBHG H? LNE?HG:FB=>L BG >GOBKHGF>GM:E P:M>K & />I /<B   
 AMMIL=HBHK@CLL<OCLL<
78 ) '><A:@B: 2 /:F:GB=H 0K>G=L BG FB<KH>QMK:<MBHG;:L>= F>MAH=L ?HK MA>
=>M>KFBG:MBHG H? LNE?HG:FB=>L BG FBED />I:K:MBHGL    AMMIL=HBHK@
L>I:K:MBHGL
78 3$ 0L:B 0 $N:G@ $$ A>G 53 3N && $N:G@ $5 AN:G@
>M>KFBG:MBHG H? LNE?HG:FB=>L BG LPBG> FNL<E> :?M>K L:EMBG@HNM :LLBLM>= EBJNB=
>QMK:<MBHG PBMA :<>MHGBMKBE> <HNIE>= PBMA ;:<D>QMK:<MBHG ;R : P:M>K:<>MHGBMKBE>
=B<AEHKHF>MA:G> M>KG:KR <HFIHG>GM LRLM>F IKBHK MH AB@AI>K?HKF:G<> EBJNB=
<AKHF:MH@K:IAR & AKHF:MH@K      AMMIL=HBHK@
C<AKHF:
78 5 3>G & (B 3 6A:G@ ( A>G BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG <HNIE>=
PBMA <:IBEE:KR >E><MKHIAHK>LBL ?HK LBFNEM:G>HNL =>M>KFBG:MBHG H? LNE?HG:FB=>L PBMA
MA> :B= H? >QI>KBF>GM:E =>LB@G !E><MKHIAHK>LBL     AMMIL
=HBHK@>EILO>EIL
78 4 4N . /N 4 6A:H 6 (BN 5 6A:G@ (B 4 (B $ 6A:G@ 6 3:G@ %HGB< EBJNB=
;:L>= FB<KHP:O>:LLBLM>= =BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG :G=
=>KBO:MBS:MBHG H? LNE?HG:FB=>L BG KBO>K P:M>K AHG>R FBED :G= :GBF:E IE:LF: G:E
ABF <M:     AMMIL=HBHK@C:<:
78  -NB@E>R 3 NFFBGL HGGHEER BLI>KLBO> (BJNB=(BJNB= )B<KH>QMK:<MBHG BG
MA> G:ERLBL H? )BED :G= :BKR ,KH=N<ML .>OB>P & A>F   
AMMIL=HBHK@
78 ) .>S:>> 5 5:FBGB ) ":K:CB !OHENMBHG H? =BLI>KLBO> EBJNB=EBJNB=
UNCORRECTED PROOF
L.A. Maroubo et al. Microchemical Journal xxx (xxxx) 106657
FB<KH>QMK:<MBHG F>MAH= & AKHF:MH@K      AMMIL
=HBHK@C<AKHF:
78 2 G=KN<A %/ :EH@A ( 'H<\KHOT & f:G=K>CHOT "BO> R>:KL H? =BLI>KLBO> EBJNB=
EBJNB= FB<KH>QMK:<MBHG IIE /I><MKHL< .>O     AMMIL=HB
HK@
78 ( 'H<\KHOT %/ :EH@A & f:G=K>CHOT 2 G=KN<A .><>GM :=O:G<>L BG =BLI>KLBO>
EBJNB=EBJNB= FB<KH>QMK:<MBHG NLBG@ HK@:GB< LHEO>GML EB@AM>K MA:G P:M>K  K>OB>P
)B<KH<A>F &    AMMIL=HBHK@CFB<KH<
78 6 /AB $ &B:G@ & $N 6 (B $ 6A:G@ BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG :G=
AB@AI>K?HKF:G<> EBJNB= <AKHF:MH@K:IAB< =>M>KFBG:MBHG H? :GMAK:JNBGHG>
=>KBO:MBO>L BG ANF:G NKBG> :?M>K HK:E :=FBGBLMK:MBHG H? L:GAN:G@ M:;E>ML & (BJ
AKHF:MH@K .>E:M 0><AGHE     AMMIL=HBHK@

78 2 'B:KHLM:FB ). .HNBGB . )HA:FF:=B:G $ (:O:L:GB ) #A:S:@AB BG:KR
/HEO>GML BLI>KLBO> (BJNB=(BJNB= )B<KH>QMK:<MBHG / (()! )>MAH= ?HK
>M>KFBG:MBHG H? 0K:F:=HE BG 1KBG> 1LBG@ $B@A,>K?HKF:G<> (BJNB=
AKHF:MH@K:IAR .1 & ,A:KF /<B    AMMIL=HBHK@

78 ( KMANK & ,:PEBLSRG /HEB= IA:L> FB<KH>QMK:<MBHG PBMA MA>KF:E =>LHKIMBHG
NLBG@ ?NL>= LBEB<: HIMB<:E c;>KL G:E A>F     AMMIL
=HBHK@:<:
78 # +15*# & ,3(%/65* .><>GM =>O>EHIF>GML BG /,)! ?HK HGLBM> :G:ERLBL :G=
FHGBMHKBG@ 0K 0K>G=L G:E A>F     AMMIL=HBHK@
CMK:<
78 ) .>S:>> 5 LL:=B ). )BE:GB $HLL>BGB ! @A:>> " AF:=B / >KBC:GB
>M>KFBG:MBHG H? HK@:GB< <HFIHNG=L BG P:M>K NLBG@ =BLI>KLBO> EBJNB=EBJNB=
FB<KH>QMK:<MBHG & AKHF:MH@K      AMMIL=HBHK@
C<AKHF:
78 ) /:K:CB )' HKHNC>GB .><>GM =>O>EHIF>GML BG =BLI>KLBO> EBJNB=EBJNB=
FB<KH>QMK:<MBHG G:E BH:G:E A>F     AMMIL=HBHK@
LS
78 ) L>GLBH.:FHL () .:O>EH,XK>S )b #HGSTE>SNK;>EH & $>KGTG=>S
HK@>L (BJNB= IA:L> FB<KH>QMK:<MBHG :IIEB<:MBHGL BG ?HH= :G:ERLBL & AKHF:MH@K
     AMMIL=HBHK@C<AKHF:
78 2 $>KK>K:$>KK>K: ) L>GLBH.:FHL & $>KGTG=>SHK@>L )b .H=KZ@N>S
>E@:=H BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG ?HK =>M>KFBG:MBHG H? HK@:GB<
:G:ERM>L 0K 0K>G=L G:E A>F     AMMIL=HBHK@
CMK:<
78  *NAN  :LA>>K  /::= (BJNB=IA:L> :G= =BLI>KLBO> EBJNB=EBJNB=
FB<KH>QMK:<MBHG M><AGBJN>L PBMA =>KBO:MBS:MBHG .><>GM :IIEB<:MBHGL BG ;BH:G:ERLBL
& AKHF:MH@K      AMMIL=HBHK@C
C<AKHF;
78  /:K:?K:S5:S=B  FBKB (BJNB=IA:L> FB<KH>QMK:<MBHG 0K 0K>G=L G:E
A>F     AMMIL=HBHK@CMK:<
78 ) KNS2>K: . (N<>G: / TK=>G:L ) 2:E<TK<>E +G>LM>I BGLRKBG@> BHGB< EBJNB=
;:L>= =BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG & AKHF:MH@K    
 AMMIL=HBHK@C<AKHF:
78  ':;BK ) (H<:M>EEB $ 1ENLHR .><>GM MK>G=L BG FB<KH>QMK:<MBHG M><AGBJN>L
>FIEHR>= BG :G:ERMB<:E :G= ;BH:G:ERMB<:E L:FIE> IK>I:K:MBHG />I:K:MBHGL  
  AMMIL=HBHK@L>I:K:MBHGL
78 & /H:K>L =: /BEO: NK:MH  2:K@:L )>=BG: ( 0HeHEB ! 2:L<HG<>EHL /H:K>L
):<B>E " ):NKH (:GW:L .><>GM :=O:G<>L :G= MK>G=L BG FBGB:MNKBS>= L:FIE>
IK>I:K:MBHG M><AGBJN>L & />I /<B     AMMIL=HBHK@
CLL<
78 4$ 6:G@ -$ 3N )5 6A:G@ #$ 4B 6 3:G@ >O>EHIF>GML H? =BLI>KLBO>
EBJNB=EBJNB= FB<KH>QMK:<MBHG M><AGBJN> ABG>L> & G:E A>F   
 AMMIL=HBHK@/
78 4 $NH - (B 4 (BG 4 A>G ' B IIEB<:MBHG H? BLI>KLBO> (BJNB=(BJNB=
)B<KH>QMK:<MBHG ?HK MA> G:ERLBL H? /BQ "NG@B<B=>L BG "KNBM /:FIE>L ;R #! 
AKHF:MH@K:IAB:     AMMIL=HBHK@L

78 " .>S:>B  B=:KB , BKC:G=B ). )BE:GB $HLL>BGB 5 LL:=B >O>EHIF>GM H? :
=BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG F>MAH= ?HK MA> =>M>KFBG:MBHG H?
IHER<AEHKBG:M>= ;BIA>GREL BG P:M>K & $:S:K= ):M>K    
AMMIL=HBHK@CCA:SF:M
78 / >KBC:GB 5 LL:=B ) G;B: ). )BE:GB $HLL>BGB ! @A:>> BLI>KLBO>
EBJNB=EBJNB= FB<KH>QMK:<MBHG <HF;BG>= PBMA @:L <AKHF:MH@K:IARd:F>
IAHMHF>MKB< =>M><MBHG & AKHF:MH@K      AMMIL=HBHK@
C<AKHF:
78 ) '><A:@B: 2 /:F:GB=HN  ':;BK '# "NKMHG $,( F>MAH= =>O>EHIF>GM :G=
O:EB=:MBHG ?HK MA> =>M>KFBG:MBHG H? LNE?HG:FB=>L K>LB=N>L BG FBED L:FIE>L BG K=
%)!'+"++ / HG? )>MKHE ,KHFHM $:KFHG /M:G= "HH= *NMK 
78 BM:L  ':;BK ) (H<:M>EEB 2 /:F:GB=HN "HH= L:FIE> IK>I:K:MBHG ?HK MA>
=>M>KFBG:MBHG H? LNE?HG:FB=>L ;R AB@AI>K?HKF:G<> EBJNB= <AKHF:MH@K:IAR /M:M>
H?MA>KM />I:K:MBHGL     AMMIL=HBHK@
L>I:K:MBHGL
78 ., (HI>L 2 N@NLMB " /:GMHL ! 2:K@:L . N@NLMB >O>EHIF>GM :G=
O:EB=:MBHG H? :G >?c<B>GM :G= BGGHO:MBO> F>MAH= ?HK MA> JN:GMBc<:MBHG H? FNEMB<E:LL
O>M>KBG:KR =KN@L BG FBED ;R NLBG@ ()/)/ :G:ERLBL G:E )>MAH=L   
 AMMIL=HBHK@<:R;
78 + 'PHG 0 ,:KD IIEB<:MBHGL H? /F:KMIAHG> :F>K:L BG @KB<NEMNK>
!GOBKHGF>GM :G= "HH=  K>OB>P & BHLRLM !G@  AMMIL=HBHK@
&!
78 5 ":G & (B 5 #NH ( 4B> # 6A:G@ B@BM:E BF:@> <HEHKBF>MKR HG LF:KMIAHG> ?HK
<A>FB<:E :G:ERLBL  K>OB>P )>:LNK>F>GM    AMMIL=HBHK@
CF>:LNK>F>GM
78 # .:M>GB , :KBH " :O:EEH /F:KMIAHG>:L>= "HH= B:@GHLMB< 0><AGHEH@B>L
.>OB>P />GLHKL    AMMIL=HBHK@L
78 )& (BF: " *:L<BF>GMH "., .H<A: ">:LB;E> IAHMHF>MKB< F>:LNK>F>GML BG
EBJNB=EBJNB= >QMK:<MBHG ;R >QIEHBMBG@ LF:KMIAHG>;:L>= =B@BM:E BF:@>L G:E
)>MAH=L     AMMIL=HBHK@5
78 "/ /BEO: "., .H<A:  GHO>E :IIKH:<A MH =>M><M FBED :=NEM>K:MBHG ;:L>= HG MA>
=>M>KFBG:MBHG H? IKHM>BG <HGM>GM ;R LF:KMIAHG>;:L>= =B@BM:E BF:@> <HEHKBF>MKR
"HH= HGMKHE    AMMIL=HBHK@C?HH=<HGM

78 "/ /BEO: % #HGW:EO>L "., .H<A: /F:KMIAHG>;:L>= =B@BM:E BF:@>L :L :
GHO>E :IIKH:<A MH =>M>KFBG> ?HKF:E=>AR=> :L : FBED :=NEM>K:GM "HH= HGMKHE 
  AMMIL=HBHK@C?HH=<HGM
78 )& (BF: )' /:L:DB +. ):KBGAH 0 "K>BM:L . ":KB: " .>BL ".,
.H<A: /IHM M>LM ?HK ?:LM =>M>KFBG:MBHG H? AR=KH@>G I>KHQB=> :L : FBED :=NEM>K:GM ;R
LF:KMIAHG>;:L>= =B@BM:E BF:@> <HEHKBF>MKR )B<KH<A>F &   
AMMIL=HBHK@CFB<KH<
78 )/)/" <>O>=H )& (BF: " *:L<BF>GMH "., .H<A:  @K>>G :G= <HLM
>??><MBO> IKH<>=NK> ?HK =>M>KFBG:MBHG H? :GBHGB< LNK?:<M:GML BG FBED PBMA EBJNB=
EBJNB= FB<KH>QMK:<MBHG :G= LF:KMIAHG>;:L>= IAHMHF>MKB< =>M><MBHG )B<KH<A>F &
   AMMIL=HBHK@CFB<KH<
78 " *:L<BF>GMH ( .H<A: "., .H<A: ?:LM :G= >GOBKHGF>GM:E ?KB>G=ER
:G:ERMB<:E IKH<>=NK> ?HK =>M>KFBG:MBHG H? F>E:FBG> BG FBED >QIEHBMBG@ dNHK>L<>G<>
JN>G<ABG@ "HH= A>F    AMMIL=HBHK@C?HH=<A>F

78  /:>>= / $:JN> /6 -NK>LAB .>LBG ;>:= =>M><MBHG :G= LI><MKHIAHMHF>MKB<
=>M>KFBG:MBHG H? HQRIA>G;NM:SHG> PBMA I=BF>MARE:FBGH<BGG:F:E=>AR=>
IIEB<:MBHG MH ;NED =KN@ :G= =HL:@> ?HKFL 0:E:GM:    
AMMIL=HBHK@
78 " ">KG:G=>L / /BEO: &( .NcGH $. ,>SS: ( ,>SS: /<K>>GBG@ :G=
=>M>KFBG:MBHG H? LNEIAHG:FB=> K>LB=N>L BG ;HOBG> FBED L:FIE>L NLBG@ : dHP
BGC><MBHG LRLM>F "HH= A>F    AMMIL=HBHK@C
?HH=<A>F
78 )% (>HG@ ). "NA /  $N:G@ >RHG= =BLI>KLBO> EBJNB=EBJNB=
FB<KH>QMK:<MBHG & AKHF:MH@K     AMMIL=HBHK@C
<AKHF:
78 ) )HK:=B 5 5:FBGB  !LK:cEB / />B=B IIEB<:MBHG H? LNK?:<M:GM :LLBLM>=
=BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG ?HK L:FIE> IK>I:K:MBHG H? <AEHKHIA>GHEL BG
P:M>K L:FIE>L 0:E:GM:     AMMIL=HBHK@C
M:E:GM:
78 ) /:K:CB $ B=@HEB BLI>KLBO> EBJNB=EBJNB= FB<KH>QMK:<MBHG NLBG@ :
LNK?:<M:GM :L =BLI>KL>K :@>GM G:E BH:G:E A>F    
AMMIL=HBHK@L
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... These advantages are demonstrated in applications for quantification of RS using digital images in samples of cachaça (Franco et al. 2021), juice, coconut water (Teixeira and Santos 2022), and soft drinks (Schlesner et al. 2022). In addition to these, other analytes were also quantified by this technique, such as the detection and/or quantification of milk adulterants (starch, H 2 O 2 , and NaClO) (Costa et al. 2020), lactose in whole, semi-skimmed and skimmed milk (Alves et al. 2023), determination of copper in sugarcane spirits (Böck et al. 2022), prediction of sterile culture medium pH (Ramos Carvalho et al. 2022), determination of total sulfonamides in bovine milk (Maroubo et al. 2021), and analysis of aspirin and salicylic acid in tablets and cosmetic products (Jain et al. 2022). ...
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The quantification of reducing sugars in cow milk and derivatives is necessary for quality control and to ensure food safety for consumers. Here, two rapid and simple methods were developed for the quantification of reducing sugars in samples of milk and derivatives, based on colorimetric assays followed by acquisition of digital images using a smartphone camera and PhotoMetrix® software. The data were processed by univariate analysis with multiple channels, obtaining satisfactory r values (> 0.90) for analytical curves of mixtures of reducing sugars. The methods were validated within a linear range of 10–100 mg mL⁻¹ and were applied in the analysis of eight samples of cow milk or it is derivatives with recovery values ranged from 93.64 to 105.21%, and the results were statistically comparable to those obtained using the reference Lane-Eynon titration method (AOAC 923.09). The new methods present themselves as promising alternatives for the quality control of reducing sugars in the dairy industry. They bring significant benefits, such as affordability, portability, and alignment with green chemistry principles. The sample data acquisition and processing time is only 2 min, enabling the execution of multiple analyses within a brief timeframe. This renders them particularly suitable for applications in routine analysis targeted at food quality control.
... In recent years, the use of digital images in food quality analysis has been successfully reported as a fast and nondestructive technique (Costa et al. 2015;Maroubo et al. 2021;Wu and Sun 2013), and smartphones have been shown to strongly support these methodologies due to their portability and simple operation (Nelis et al. 2020). In addition to their simplicity, digital images have gained popularity due to their low cost, ease of handling, portability, and green chemistry characteristics for low electricity consumption and less waste in the analyses (Meenu et al. 2021). ...
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The present study aimed to build calibration models based on smartphone digital images to estimate bananas and papayas’ sensory and physicochemical characteristics at different ripening stages. Three distinct image processing were evaluated: (i) the average red, green, and blue (RGB) values of the entire image, (ii) the number of pixels in each RGB value (the RGB histogram), and (iii) a reflectance spectrum mathematically obtained from the RGB triplet. Each approach was modeled with either multiple linear regression (MLR) or partial least squares (PLS) regression. The predicted variables were the sensory characteristics of ideal sweetness, ideal firmness, and global acceptance, and the physicochemical characteristics of total soluble solids (TSS) and firmness. The models obtained good responses for sensory and instrumental parameters, with the best being the modeled from the reflectance spectrum. The uniqueness of the obtained reflectance spectra captured the color changes throughout the fruit ripening. Furthermore, the obtained spectra allowed for data pre-treatments to be employed, leading to high R² > 0.9 and low error measured by external validation. Each modeled variable had a better performance with a specific pre-treatment. Therefore, the adoption of reflectance spectra from smartphone digital images led to a promising option to improve models’ predictive performance, especially to assess fruit quality parameters.
... Surfactant-based DLLME method was established for the determination of total sulfonamides in bovine milk samples. [72] The preconcentration and extraction of sulfonamides in milk was done by addition of HNO 3 and 4-(dimethylamino)cinnamaldehyde to cleane-up and derivatization of the analytes, respectively. As the result, the sulfonamide analytes were converted to their imine salts through a condensation reaction. ...
Article
Liquid phase microextraction techniques are considered as the miniaturized version of traditional liquid-liquid extraction, which use only several microliters of a proper solvent to extract the analytes from sample. In these methods, the target analytes are migrated into a water-immiscible organic solvent (acceptor phase) from an aqueous sample (donor phase). They are mainly classified into three main groups including (a) single-drop microextraction, (b) dispersive liquid-liquid microextraction, and (c) hollow fiber-liquid phase microextraction. These techniques have been successfully applied to the assessment of different analytes in food samples, pharmaceuticals, beverages, and so on. This review mainly focuses on up-to-date information on the application of liquid phase microextraction techniques in dairy products. The advantages and disadvantages of the developed liquid phase microextraction methods were discussed.
... Exploitation of smartphone-based photometry is very attractive for food analysis, because of the widely available detection devices, portability, and low energy consumption. Its potential is magnified when combined with practical and greener approaches, as demonstrated for the determination of hydrogen peroxide [13], surfactants [14], total sulfonamides [15], and proteins in milk [10,11]. The diversity of applications encompass determination of fat in cured meat [16], enzymatic determination tyramine in cheese [17], and ascorbic acid in exotic fruits [18], as well as estimation of apparent amylose content in rice [19] and evaluation of the banana ripening exploiting artificial neural networks [20]. ...
... When animals have been fed antibiotics over a period of time, bacteria retain the strains of drug resistance 8 . Eating meat from affected animals may lead to various potential hazards such as allergic reactions, bacterial resistance, toxic reactions, and teratogenic and carcinogenic effects on the human body 9,10 . Many countries in the world have set up monitoring programs for observing drug residue levels in different sources 11 . ...
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Antibiotics residue of any drug above the allowable limit in poultry and cattle farms reduces food safety and quality. The main aim of this study was to develop and validate a sensitive and reproducible method to assess the amount of residual limit of antibiotics. Poultry meat and beef samples were analyzed for the presence of six sulfa drugs i.e., sulfathiazole (STZ), sulfadiazine (SDZ), sulfamerazine (SMZ), sulfamethazine (SMT), sulfamethoxypyridazine (SMP) and sulfadimethoxine (SMX) by LC-MS/MS coupled with ESI and QQQ mass analyzer. Identification and quantification of drugs were carried out by SCAN and MRM methods. Matrix matched calibration curves were linear with correlation coefficients (r ² ) 0.997, 0.998, 0.997, 0.993, 0.996 and 0.998 for six drugs, respectively. The method was validated by recovery experiments at 2 spiking levels (5 & 10 ng/mL). Extraction was done by QuEChERS method, cleaned up was carried out with C-18 powder & PSA followed by analysis using LC-MS/MS. Intra- and inter-day experiments were done with desirable accuracy and precision, and recoveries were in the range of 86-104%. Poultry meat (n=30) and beef samples (n=30) were analyzed from thirty different markets, super shops, and residues of six sulfa drugs were found below the detection limit.
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Представлен обзор современного состояния и перспектив развития метода цифровой цветометрии при использовании смартфона в качестве цветорегистрирующего устройства. Систематизированы практические приложения методологии экспресс-анализа в рамках контроля объектов окружающей среды, биологических жидкостей, пищевых продуктов, лекарственных препаратов и некоторых специфических объектов. Рассмотрено многообразие подходов, которые являются основой для формирования аналитического сигнала в цифровой цветометрии. Отмечены возможности (достоинства и недостатки) смартфона, оснащенного различными программными продуктами, как универсального, мобильного, экспрессного и чувствительного инструмента в анализе объектов различного происхождения.
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Cell phones are like a notepad PC with their own working framework, processor, interior memory, and top-notch camera focal points. Cell phones are more open and less expensive than versatile analytical devices. The quantity of cell phone users overall outperformed 2 billion in 2016 and it addresses more than a fourth of the worldwide population. There have been numerous new articles on the utilization of cell phones as versatile detectors, bioanalytical equipment, and instrument interfaces. The utilization of cell phones has opened doors for prognostic, diagnostic, detection, observing, quantification, control, or making versatile applications, since it can be very well utilized to run routine tests. Moreover it does not require a trained personnel and it is convenient and considered a minimal-expense gadget. The development of analytical methods is crucial in drug development. Improvement of existing and execution of new methodologies are essential for the present-day analytical chemistry of drugs. Recently published studies focussed on some of the applications of smartphone-based analytical methodologies in the last few years for the determination of drugs in different matrices. The aim of the presented review was to enhance the visibility of one of the fast and novel applications of smartphone technology. This will help scientists and researchers to understand the recent developments and explore new possibilities in this field.
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Antibiotics are a common practice in veterinary medicine, mainly for therapeutic purposes. Sectors of application include livestock farming, aquacultures, and bee-keeping, where bacterial infections are frequent and can be economically damaging. However, antibiotics are usually administered in sub-therapeutic doses as prophylactic and growth promoting agents. Due to their excessive use, antibiotic residues can be present in foods of animal origin, which include meat, fish, milk, eggs, and honey, posing health risks to consumers. For this reason, authorities have set maximum residue limits (MRLs) of certain antibiotics in food matrices, while analytical methods for their determination have been developed. This work focuses on antibiotic extraction and determination, part of which was presented at the “1st Conference in Chemistry for Graduate, Postgraduate Students and PhD Candidates at the Aristotle University of Thessaloniki”. Taking a step further, this paper is a review of the most recent sample preparation protocols applied for the extraction of sulfonamide antibiotics from food samples and their determination with high-performance liquid chromatography (HPLC), covering a five-year period.
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Sample preparation has been recognized as a major step in the chemical analysis workflow. As such, substantial efforts have been made in recent years to simplify the overall sample preparation process. Major focusses of these efforts have included miniaturization of the extraction device; minimizing/eliminating toxic and hazardous organic solvent consumption; eliminating sample pre-treatment and post-treatment steps; reducing the sample volume requirement; reducing extraction equilibrium time, maximizing extraction efficiency etc. All these improved attributes are congruent with the Green Analytical Chemistry (GAC) principles. Classical sample preparation techniques such as solid phase extraction (SPE) and liquid-liquid extraction (LLE) are being rapidly replaced with emerging miniaturized and environmentally friendly techniques such as Solid Phase Micro Extraction (SPME), Stir bar Sorptive Extraction (SBSE), Micro Extraction by Packed Sorbent (MEPS), Fabric Phase Sorptive Extraction (FPSE), and Dispersive Liquid-Liquid Micro Extraction (DLLME). In addition to the development of many new generic extraction sorbents in recent years, a large number of molecularly imprinted polymers (MIPs) created using different template molecules have also enriched the large cache of microextraction sorbents. Application of nanoparticles as high-performance extraction sorbents has undoubtedly elevated the extraction efficiency and method sensitivity of modern chromatographic analyses to a new level. Combining magnetic nanoparticles with many microextraction sorbents has opened up new possibilities to extract target analytes from sample matrices containing high volumes of matrix interferents. The aim of the current review is to critically audit the progress of microextraction techniques in recent years, which has indisputably transformed the analytical chemistry practices, from biological and therapeutic drug monitoring to the environmental field; from foods to phyto-pharmaceutical applications.
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Milk is an important source of protein and its consumption has gained relevance because of new evidence for its nutritional and functional role for humans. On the other hand, milk quality has been hindered by tampering, including the addition of formaldehyde to mask product deterioration and increase product shelf life, although this substance may cause harm to consumers. Taking these aspects into account, a novel, fast, greener, portable, and cost-effective method is proposed for the determination of formaldehyde in milk. This method relies on smartphone-based digital image colorimetry of the product formed upon reaction with the Schiff reagent, followed by conversion of the images into RGB values using free application software. Sample preparation only involved protein precipitation in an acidic medium and analyte determination required only a few micrograms of the reagents. The proposed method achieved a limit of detection as low as 120 μg L–1 formaldehyde with a linear response up to 1250 μg L–1 and good precision (CV = 2%, n = 20). Matrix effects were negligible after protein precipitation with recoveries of formaldehyde spiked milk samples within 92 to 106%. The accuracy was assessed using a reference procedure (HPLC with UV detection after analyte derivatization and liquid–liquid extraction) and the results agreed at the 95% confidence level. The procedure is applicable to whole, semi-skim, and skim milk processed using pasteurization or ultra-heat treatment (UHT).
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Digital image colorimetry (DIC) on smartphone is regarded as a powerful, fast and low-cost analysis method to measure target analyte with color changes of digital image obtained by the built-in camera. We summarized the basic procedure of DIC, the color spaces (RGB, CMYK, HSB/HSL, CIE XYZ, L*a*b*, and YUV), the principal architectures (tools for capturing image, lighting conditions, and color quantification APPs and DIC APPs), and current status of DIC on smartphone in analysis of metals/heavy metals, herbicides, pesticides, antibiotics, biological and medical indicators, natural compounds, and bacteria/viruses. The advantages and disadvantages of DIC are also revealed. Nowadays, DIC on smartphone must be further refined with controlled geometry and standard lighting sources to become robust and reliable analytical procedures. And it will be improved in the near future with the continuous development of smartphones owing to the rapid development of smartphone’s camera technology and the continuous optimization of related software.
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Four novel organic magnetic ionic liquids were synthesized and characterized. A new method of in-situ magnetic ionic liquid dispersive liquid-liquid microextraction coupled with HPLC was established to simultaneously separate, preconcentrate and determine trace amount of sulfonamides in milk samples for the first time. In this work, extraction procedure was free of volatile organic solvent. Extraction equilibrium was immediately achieved without further operation such as vortex shaking. Magnetic separation of two phases was effectively achieved by applying external magnetic field without need of centrifugation. Furthermore, only a very small amount of inorganic salts were generated. This is the first time to realize all these advantages in an analytical method. Under the optimal conditions, satisfactory enrichment factors, precisions, linear range and low limit of detection and quantitation were acquired. The validated method was successfully applied in the simultaneous analysis of 5 sulfonamides in real milk samples.
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A novel approach for the detection of hydrogen peroxide as a milk adulterant via a colorimetric spot test and smartphone-based photometry is proposed. The procedure is based on analyte oxidation of iron(II) followed by formation of a red iron(III)-thiocyanate complex. The acid medium required for complex formation doubles as a protein precipitation solution, while digital images are taken directly in disposable microtubes under controlled illumination conditions without sample pretreatment. Determination of the adulterant takes about 2 min and generates as little as 350 μL of waste per determination. A linear response was attained from 2.5 to 25.0 mg L⁻¹, with a limit of detection of 1.7 mg L⁻¹ at a 95% confidence level. Repeatability and reproducibility, expressed as coefficients of variation, were 4.8% and 6.8%, respectively. Due to these characteristics, along with the portability and wide availability of smartphones, the proposed method is attractive for determination of hydrogen peroxide adulterant at different stages of production chain.
Article
A novel alternative for the detection of milk adulteration by dilution based on the determination of the protein content is proposed. The proposed method involves the precipitation of the proteins by the salting-out effect of copper sulfate and the proportional adsorption of Cu(II) on the precipitate. Subsequently, photometric measurements of the remaining amount of Cu(II) by smartphone-based digital colorimetry are conducted to determine the protein content. The proposed procedure is rapid (sample throughput of 32 assays/h), precise (coefficient of variation = 3.0%, n = 20), environmentally friendly, and allows the detection of as low as 1.0% v/v water in adulterated milk. The main species used to mask the protein content do not interfere, thus permitting the direct detection of adulteration. The procedure was successfully applied for the classification of milk samples as compliant and non-compliant as well as for the indirect determination of the protein content in milk. The quantitative results agreed with those obtained by the reference method (near infrared spectroscopy) at a 95% confidence level.
Article
Advances in the area of sample preparation are significant and have been growing significantly in recent years. This initial step of the analysis is essential and must be carried out properly, consisting of a complicated procedure with multiple stages. Consequently, it corresponds to a potential source of errors and will determine, at the end of the process, either a satisfactory result or a fail. One of the advances in this field includes the miniaturization of the extraction techniques based on the conventional sample preparation procedures such as liquid‐liquid extraction and solid‐phase extraction. These modern techniques have gained prominence in the face of traditional methods since they minimize the consumption of organic solvents and the sample volume. As another feature, it is possible to reuse the sorbents, and its coupling to chromatographic systems might be automated. The review will emphasize the main techniques based on liquid‐phase microextraction, as well as those based upon the use of sorbents. The first group includes currently popular techniques such as single drop microextraction, hollow fiber liquid‐phase microextraction, and dispersive liquid‐liquid microextraction. In the second group, it will be highlighted solid‐phase microextraction techniques such as in‐tube solid‐phase microextraction, stir bar sorptive extraction, dispersive solid‐phase extraction, dispersive micro solid‐phase microextraction, and microextraction by packed sorbent. These approaches have, in common, aiming the determination of analytes at low concentrations in complex matrices. This article describes some characteristics, recent advances, and trends on miniaturized sample preparation techniques, as well as their current applications in food, environmental, and bioanalysis fields This article is protected by copyright. All rights reserved
Article
Aiming at determination of anionic surfactants as milk adulterants, a novel procedure based on simultaneous protein precipitation and liquid-liquid microextraction (LLME) of the ion-pair formed between the analytes and methylene blue is described. Sample treatment, ion-pair extraction, and photometric detection with a smartphone camera were carried out in a single vessel, thus significantly simplifying the procedure and minimizing risks of contamination and analyte loss. The chloroform volume for both sample treatment and extraction of the ion-pair was only 150 μL and usual drawbacks of LLME, such as the need for phase isolation and dilution of the extract before spectrophotometric measurements were avoided. By using sodium dodecylsulfate as a model surfactant, and only 100 μL of sample, 25 μg of methylene blue, and 2.9 mg of EDTA, a linear response was achieved from 10 to 50 mg L⁻¹, r = 0.999 (n = 5), with detection limit (99.7% confidence level) and coefficient of variation of 2.2 mg L⁻¹ and 1.9% (n = 10), respectively. The proposed procedure is a simple, fast, cost-effective, and environmentally friendly approach for detection of milk adulterations by surfactants.
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The following review focuses on recent developments in solid-phase microextraction (SPME) for on-site analysis and monitoring of environmental pollutants, including calibration methods and sampling devices. The review emphasizes calibration methods, including traditional, equilibrium extraction and several diffusion-based. We also discuss the characteristics of these calibration methods.