Principal component analysis application in polycyclic aromatic hydrocarbons "mussel watch" analyses for source identification

Anna Stella, Maria Teresa Piccardo, Rosella Coradeghini, Anna Redaelli, Silvia Lanteri, Carla Armanino, Federico Valerio

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

This article aims to show how a careful pre-treatment of data can be used to demonstrate various features embedded in a given data set obtained from a "mussel watch" survey, namely site- and source-specific characteristics and weather-related changes, and to provide indications so as to allow comparison with analyses performed on another substrate matrix. Polycyclic aromatic hydrocarbons (PAHs) biomonitored in the aquatic environment by means of caged mussels are compared by site and by season. Moreover, their fingerprints were compared to marine sediments and atmospheric airborne PAHs. The characterization of the sampling stations by means of the multivariate technique called principal component analysis (PCA) allows distinguishing the prevalence of pyrogenic or petrogenic types of pollution and between two kinds of combustibles. This was confirmed by jointly analyzing the percent composition of sea (mussel) and air (filter) samples.

Original languageEnglish
Pages (from-to)201-213
Number of pages13
JournalAnalytica Chimica Acta
Volume461
Issue number2
DOIs
Publication statusPublished - Jun 21 2002

Fingerprint

Bivalvia
Watches
Polycyclic Aromatic Hydrocarbons
Principal Component Analysis
Principal component analysis
principal component analysis
PAH
Air filters
Air Filters
aquatic environment
Geologic Sediments
marine sediment
Sediments
Pollution
Weather
Dermatoglyphics
Sampling
filter
weather
Oceans and Seas

Keywords

  • Coke oven
  • Fingerprints
  • Mussel watch
  • PAHs
  • PCA
  • Sediment

ASJC Scopus subject areas

  • Biochemistry
  • Analytical Chemistry
  • Spectroscopy
  • Environmental Chemistry

Cite this

Principal component analysis application in polycyclic aromatic hydrocarbons "mussel watch" analyses for source identification. / Stella, Anna; Piccardo, Maria Teresa; Coradeghini, Rosella; Redaelli, Anna; Lanteri, Silvia; Armanino, Carla; Valerio, Federico.

In: Analytica Chimica Acta, Vol. 461, No. 2, 21.06.2002, p. 201-213.

Research output: Contribution to journalArticle

Stella, Anna ; Piccardo, Maria Teresa ; Coradeghini, Rosella ; Redaelli, Anna ; Lanteri, Silvia ; Armanino, Carla ; Valerio, Federico. / Principal component analysis application in polycyclic aromatic hydrocarbons "mussel watch" analyses for source identification. In: Analytica Chimica Acta. 2002 ; Vol. 461, No. 2. pp. 201-213.
@article{3001e5e38ac24cf3bcfd74bd50684f0c,
title = "Principal component analysis application in polycyclic aromatic hydrocarbons {"}mussel watch{"} analyses for source identification",
abstract = "This article aims to show how a careful pre-treatment of data can be used to demonstrate various features embedded in a given data set obtained from a {"}mussel watch{"} survey, namely site- and source-specific characteristics and weather-related changes, and to provide indications so as to allow comparison with analyses performed on another substrate matrix. Polycyclic aromatic hydrocarbons (PAHs) biomonitored in the aquatic environment by means of caged mussels are compared by site and by season. Moreover, their fingerprints were compared to marine sediments and atmospheric airborne PAHs. The characterization of the sampling stations by means of the multivariate technique called principal component analysis (PCA) allows distinguishing the prevalence of pyrogenic or petrogenic types of pollution and between two kinds of combustibles. This was confirmed by jointly analyzing the percent composition of sea (mussel) and air (filter) samples.",
keywords = "Coke oven, Fingerprints, Mussel watch, PAHs, PCA, Sediment",
author = "Anna Stella and Piccardo, {Maria Teresa} and Rosella Coradeghini and Anna Redaelli and Silvia Lanteri and Carla Armanino and Federico Valerio",
year = "2002",
month = "6",
day = "21",
doi = "10.1016/S0003-2670(02)00274-X",
language = "English",
volume = "461",
pages = "201--213",
journal = "Analytica Chimica Acta",
issn = "0003-2670",
publisher = "Elsevier",
number = "2",

}

TY - JOUR

T1 - Principal component analysis application in polycyclic aromatic hydrocarbons "mussel watch" analyses for source identification

AU - Stella, Anna

AU - Piccardo, Maria Teresa

AU - Coradeghini, Rosella

AU - Redaelli, Anna

AU - Lanteri, Silvia

AU - Armanino, Carla

AU - Valerio, Federico

PY - 2002/6/21

Y1 - 2002/6/21

N2 - This article aims to show how a careful pre-treatment of data can be used to demonstrate various features embedded in a given data set obtained from a "mussel watch" survey, namely site- and source-specific characteristics and weather-related changes, and to provide indications so as to allow comparison with analyses performed on another substrate matrix. Polycyclic aromatic hydrocarbons (PAHs) biomonitored in the aquatic environment by means of caged mussels are compared by site and by season. Moreover, their fingerprints were compared to marine sediments and atmospheric airborne PAHs. The characterization of the sampling stations by means of the multivariate technique called principal component analysis (PCA) allows distinguishing the prevalence of pyrogenic or petrogenic types of pollution and between two kinds of combustibles. This was confirmed by jointly analyzing the percent composition of sea (mussel) and air (filter) samples.

AB - This article aims to show how a careful pre-treatment of data can be used to demonstrate various features embedded in a given data set obtained from a "mussel watch" survey, namely site- and source-specific characteristics and weather-related changes, and to provide indications so as to allow comparison with analyses performed on another substrate matrix. Polycyclic aromatic hydrocarbons (PAHs) biomonitored in the aquatic environment by means of caged mussels are compared by site and by season. Moreover, their fingerprints were compared to marine sediments and atmospheric airborne PAHs. The characterization of the sampling stations by means of the multivariate technique called principal component analysis (PCA) allows distinguishing the prevalence of pyrogenic or petrogenic types of pollution and between two kinds of combustibles. This was confirmed by jointly analyzing the percent composition of sea (mussel) and air (filter) samples.

KW - Coke oven

KW - Fingerprints

KW - Mussel watch

KW - PAHs

KW - PCA

KW - Sediment

UR - http://www.scopus.com/inward/record.url?scp=0037150787&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0037150787&partnerID=8YFLogxK

U2 - 10.1016/S0003-2670(02)00274-X

DO - 10.1016/S0003-2670(02)00274-X

M3 - Article

VL - 461

SP - 201

EP - 213

JO - Analytica Chimica Acta

JF - Analytica Chimica Acta

SN - 0003-2670

IS - 2

ER -