000129476 001__ 129476
000129476 005__ 20240319081015.0
000129476 0247_ $$2doi$$a10.1007/s00216-022-04215-z
000129476 0248_ $$2sideral$$a130191
000129476 037__ $$aART-2022-130191
000129476 041__ $$aeng
000129476 100__ $$0(orcid)0000-0002-9181-2105$$aGiménez-Ingalaturre, Ana C.$$uUniversidad de Zaragoza
000129476 245__ $$aHow to trust size distributions obtained by single particle inductively coupled plasma mass spectrometry analysis
000129476 260__ $$c2022
000129476 5060_ $$aAccess copy available to the general public$$fUnrestricted
000129476 5203_ $$aSingle particle inductively coupled plasma mass spectrometry (SP-ICP-MS) is a technique widely used to obtain direct information about the number concentration and the size distribution of nanoparticles in liquid suspensions. However, its methods still lack clear quality control strategies to confirm the validity of the information derived from them. Only the detection of the complete size distribution of the nanoparticles in a sample over the size critical value ensures obtaining unbiased quantitative information, otherwise information should be restricted to report the presence of nanoparticles over a certain size and number concentration since their actual total number concentration is underestimated and the size overestimated. Under the latter conditions, data processing produces histograms showing the tails of the incomplete size distributions, although apparently, complete distributions can also be obtained when particle events are recorded as peaks, as reported here for the first time. The occurrence of these misleading situations must be critically evaluated for each SP-ICP-MS analysis. An approach, based on estimation of size critical values and successive dilutions, is proposed for the assessment of the validity of the quantitative information obtained, together with specific criteria for reconsidering the information that can be derived from those measurements. The approach was verified with different case studies and applied to the analysis of complex nanomaterials, confirming the validity of the reported information by comparison with other techniques. A calculation tool is also included to facilitate the estimation of size critical values under experimental conditions.
000129476 536__ $$9info:eu-repo/grantAgreement/ES/DGA/E29-20R$$9info:eu-repo/grantAgreement/ES/MCIU-MICINN-FEDER/RTI2018-096111-B-I00
000129476 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000129476 590__ $$a4.3$$b2022
000129476 591__ $$aCHEMISTRY, ANALYTICAL$$b20 / 86 = 0.233$$c2022$$dQ1$$eT1
000129476 591__ $$aBIOCHEMICAL RESEARCH METHODS$$b18 / 77 = 0.234$$c2022$$dQ1$$eT1
000129476 592__ $$a0.676$$b2022
000129476 593__ $$aBiochemistry$$c2022$$dQ2
000129476 593__ $$aAnalytical Chemistry$$c2022$$dQ2
000129476 594__ $$a7.5$$b2022
000129476 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000129476 700__ $$0(orcid)0000-0002-1532-3916$$aBen-Jeddou, Khaoula$$uUniversidad de Zaragoza
000129476 700__ $$0(orcid)0000-0002-4681-3934$$aPérez-Arantegui, Josefina$$uUniversidad de Zaragoza
000129476 700__ $$0(orcid)0000-0002-8460-6020$$aJiménez, Maria S.$$uUniversidad de Zaragoza
000129476 700__ $$0(orcid)0000-0001-5382-0561$$aBolea, Eduardo$$uUniversidad de Zaragoza
000129476 700__ $$0(orcid)0000-0002-4169-0357$$aLaborda, Francisco$$uUniversidad de Zaragoza
000129476 7102_ $$12009$$2750$$aUniversidad de Zaragoza$$bDpto. Química Analítica$$cÁrea Química Analítica
000129476 773__ $$g415 (2022), 2101–2112 [12 pp.]$$pAnal. Bioanal. Chem.$$tAnalytical and Bioanalytical Chemistry$$x1618-2642
000129476 8564_ $$s1265062$$uhttps://zaguan.unizar.es/record/129476/files/texto_completo.pdf$$yVersión publicada
000129476 8564_ $$s2502684$$uhttps://zaguan.unizar.es/record/129476/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000129476 909CO $$ooai:zaguan.unizar.es:129476$$particulos$$pdriver
000129476 951__ $$a2024-03-18-15:31:20
000129476 980__ $$aARTICLE