Simultaneous Determination and Health Risk Assessment of Four High Detection Rate Pesticide Residues in Pu’er Tea from Yunnan, China

Four pesticides with a high detection rate in Pu’er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography–triple quadrupole linear ion trap-tandem mass spectrome...

Full description

Saved in:
Bibliographic Details
Published inMolecules (Basel, Switzerland) Vol. 27; no. 3; p. 1053
Main Authors Lin, Tao, Chen, Xing-Lian, Guo, Jin, Li, Meng-Xia, Tang, Yu-Feng, Li, Mao-Xuan, Li, Yan-Gang, Cheng, Long, Liu, Hong-Cheng
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 04.02.2022
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Four pesticides with a high detection rate in Pu’er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography–triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from −17.8 to 13.8. The coefficients (R2) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu’er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu’er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China’s pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu’er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.
AbstractList Four pesticides with a high detection rate in Pu’er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography–triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from −17.8 to 13.8. The coefficients (R2) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu’er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu’er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China’s pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu’er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.
Four pesticides with a high detection rate in Pu'er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography-triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from -17.8 to 13.8. The coefficients (R2) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu'er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu'er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China's pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu'er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.Four pesticides with a high detection rate in Pu'er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography-triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from -17.8 to 13.8. The coefficients (R2) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu'er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu'er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China's pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu'er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.
Four pesticides with a high detection rate in Pu’er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography–triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from −17.8 to 13.8. The coefficients ( R 2 ) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu’er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu’er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China’s pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu’er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.
Four pesticides with a high detection rate in Pu'er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with multiwalled carbon nanotubes (MWCNTs), and combined ultrahigh-performance liquid chromatography-triple quadrupole linear ion trap-tandem mass spectrometry (UHPLC-QTRAP-MS/MS). MWCNs have been compared with other common purification materials, and found to be superior. The matrix effect was systematically studied, and the results show that the MWCNs can quickly and effectively reduce matrix interference values, which were in the range from -17.8 to 13.8. The coefficients ( ) were greater than 0.99, with the limit of quantification ranging from 0.1 to 0.5 μg/kg, and the recovery rate ranging from 74.8% to 105.0%, while the relative standard deviation (RSD) ranged from 3.9% to 6.6%. A total of 300 samples, taken from three areas in which Yunnan Pu'er tea was most commonly produced, tested for four pesticides. The results show that the detection rate of tolfenpyrad in Pu'er tea was 35.7%, which is higher than other pesticides, and the lowest was indoxacarb, with 5.2%. The residual concentrations of chlorpyrifos, triazophos, tolfenpyrad and indoxacarb ranged from 1.10 to 5.28, 0.014 to 0.103, 1.02 to 51.8, and 1.07 to 4.89 mg/kg, respectively. By comparing with China's pesticide residue limits in tea (GB 2763-2021), the over standard rates of chlorpyrifos, tolfenpyrad, and indoxacarb were 4.35%, 0.87% and 0%, respectively. The risk assessment result obtained with the hazard quotient (HQ) method shows that the HQ of the four pesticides was far less than one, indicating that the risk is considered acceptable for the four pesticides in Pu'er tea. The largest HQ was found for tolfenpyrad, 0.0135, and the smallest was found for indoxacarb, 0.000757, but more attention should be paid to tolfenpyrad in daily diets in the future, because its detection rate, and residual and residual median were all relatively high.
Author Chen, Xing-Lian
Li, Mao-Xuan
Lin, Tao
Li, Yan-Gang
Liu, Hong-Cheng
Guo, Jin
Li, Meng-Xia
Cheng, Long
Tang, Yu-Feng
AuthorAffiliation 1 Quality Standards and Testing Technology Research Institute, Yunnan Academy of Agricultural Science, Kunming 650223, China; lintaonj@126.com (T.L.); chen544141152@163.com (X.-L.C.); limx1970@126.com (M.-X.L.); yglikm@sina.com (Y.-G.L.)
2 Laboratory of Quality and Safety Risk Assessment for Agro-Products (Kunming), Ministry of Agriculture and Rural Affairs, Kunming 650223, China
5 SCIEX Analytical Instrument Trading Co., Ltd., Shanghai 200335, China; long.cheng@sciex.com
4 College of Agronomy and Life Sciences, Zhaotong University, Zhaotong 657000, China; tyfsunny@163.com
3 School of Medicine, Yunnan University of Business Management, Kunming 650106, China; gjin0111@163.com (J.G.); limengxia2022@163.com (M.-X.L.)
AuthorAffiliation_xml – name: 3 School of Medicine, Yunnan University of Business Management, Kunming 650106, China; gjin0111@163.com (J.G.); limengxia2022@163.com (M.-X.L.)
– name: 1 Quality Standards and Testing Technology Research Institute, Yunnan Academy of Agricultural Science, Kunming 650223, China; lintaonj@126.com (T.L.); chen544141152@163.com (X.-L.C.); limx1970@126.com (M.-X.L.); yglikm@sina.com (Y.-G.L.)
– name: 2 Laboratory of Quality and Safety Risk Assessment for Agro-Products (Kunming), Ministry of Agriculture and Rural Affairs, Kunming 650223, China
– name: 4 College of Agronomy and Life Sciences, Zhaotong University, Zhaotong 657000, China; tyfsunny@163.com
– name: 5 SCIEX Analytical Instrument Trading Co., Ltd., Shanghai 200335, China; long.cheng@sciex.com
Author_xml – sequence: 1
  givenname: Tao
  orcidid: 0000-0001-9420-5071
  surname: Lin
  fullname: Lin, Tao
– sequence: 2
  givenname: Xing-Lian
  surname: Chen
  fullname: Chen, Xing-Lian
– sequence: 3
  givenname: Jin
  surname: Guo
  fullname: Guo, Jin
– sequence: 4
  givenname: Meng-Xia
  surname: Li
  fullname: Li, Meng-Xia
– sequence: 5
  givenname: Yu-Feng
  surname: Tang
  fullname: Tang, Yu-Feng
– sequence: 6
  givenname: Mao-Xuan
  surname: Li
  fullname: Li, Mao-Xuan
– sequence: 7
  givenname: Yan-Gang
  surname: Li
  fullname: Li, Yan-Gang
– sequence: 8
  givenname: Long
  surname: Cheng
  fullname: Cheng, Long
– sequence: 9
  givenname: Hong-Cheng
  surname: Liu
  fullname: Liu, Hong-Cheng
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35164318$$D View this record in MEDLINE/PubMed
BookMark eNp9ks1u1DAUhSNURH_gAdggS2xYMGDHdmJvkKqBMpUqUQ1lwcryz82Mh8QudoLEjhXvwOvxJLgzpWqLxMqW_Z3j63PvYbUXYoCqekrwK0olfj3EHuzUQ65bTAnm9EF1QFiNZxQzuXdrv18d5rzBuCaM8EfVPuWkYZSIg-rnRz9M_agDxCmjtzBCGnzQo48B6eDQAnQ_rtHS5y_oOGfIeYAwotihkzgltPCr9VZlt4qlHgGdQx699Q7QErJ3E2TkAzqffv_4BQldgEZdigP6PIWgw0s0X5f3HlcPO91neHK9HlWfTt5dzBezsw_vT-fHZzPLuRxnWjtsiSXQtLoxnTGd4K11pqXCYCMs7TjXxFjZiQaEk87WdcOI1UxY7jDQo-p05-ui3qjL5AedvquovdoexLRSOpXqe1ANt4xhbRy3loHQppa2tpIajSVzsi1eb3Zel5MZwNmSS9L9HdO7N8Gv1Sp-U0JQSQgtBi-uDVL8WmIa1eCzhb7fdUPVTS0x55TJgj6_h25K_KFEdUW1oqFtIwr17HZFN6X8bXcByA6wKeacoLtBCFZXI6X-Gamiae9prB-3A1I-5fv_KP8APjbXXQ
CitedBy_id crossref_primary_10_1016_j_scitotenv_2023_162876
crossref_primary_10_1080_10408398_2023_2225613
crossref_primary_10_1111_1541_4337_13167
crossref_primary_10_1002_tox_24133
crossref_primary_10_1016_j_scitotenv_2024_175320
crossref_primary_10_1080_19440049_2023_2232876
crossref_primary_10_1016_j_afres_2025_100759
crossref_primary_10_7831_ras_12_0_347
crossref_primary_10_1016_j_chemosphere_2024_143550
crossref_primary_10_1016_j_foodchem_2023_136103
Cites_doi 10.1002/jsfa.11253
10.1016/j.foodchem.2016.07.175
10.1021/jf102476m
10.1080/01480545.2020.1802476
10.1093/chromsci/46.3.209
10.1039/C4AY01098A
10.1039/D1RA00046B
10.1016/j.foodres.2018.12.060
10.1016/j.cropro.2017.02.021
10.1016/j.jfda.2016.03.014
10.1016/j.foodchem.2018.09.152
10.1590/fst.07417
10.1016/j.foodchem.2016.04.097
10.1080/03067319.2018.1518439
10.1002/jssc.200800605
10.1007/s11356-013-2022-1
10.1007/s40003-017-0277-3
10.1007/s12161-021-01985-7
10.1016/j.lwt.2018.08.007
10.1016/j.jflm.2013.08.012
10.1016/j.foodchem.2021.129186
10.1016/j.foodcont.2011.01.007
10.1016/j.foodchem.2020.128986
10.1016/j.foodchem.2017.02.081
10.1016/j.lwt.2021.112101
10.5740/jaoacint.12-337
10.1039/C7AY02145C
10.1080/03601234.2021.1944962
10.1021/jf506103d
10.1603/0022-0493-95.2.360
10.1111/1750-3841.15826
10.1039/C7AY02773G
10.1021/ac202661j
10.1002/chir.22422
10.1002/rcm.9199
10.1016/j.foodchem.2018.09.094
ContentType Journal Article
Copyright 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
2022 by the authors. 2022
Copyright_xml – notice: 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: 2022 by the authors. 2022
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
88E
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
K9.
M0S
M1P
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
DOA
DOI 10.3390/molecules27031053
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
ProQuest Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One Community College
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Health & Medical Complete (Alumni)
ProQuest Health & Medical Collection
PML(ProQuest Medical Library)
ProQuest Central Premium
ProQuest One Academic
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Open Access Full Text
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central China
ProQuest Central
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Health & Medical Research Collection
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList CrossRef
MEDLINE - Academic

Publicly Available Content Database

MEDLINE
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Chemistry
EISSN 1420-3049
ExternalDocumentID oai_doaj_org_article_65c440abd5cc4e8ab29c2c93ba094d97
PMC8839113
35164318
10_3390_molecules27031053
Genre Journal Article
GeographicLocations China
Beijing China
United States--US
GeographicLocations_xml – name: China
– name: Beijing China
– name: United States--US
GroupedDBID ---
0R~
123
2WC
53G
5VS
7X7
88E
8FE
8FG
8FH
8FI
8FJ
A8Z
AADQD
AAFWJ
AAHBH
AAYXX
ABDBF
ABUWG
ACGFO
ACIWK
ACPRK
ACUHS
AEGXH
AENEX
AFKRA
AFPKN
AFRAH
AFZYC
AIAGR
ALIPV
ALMA_UNASSIGNED_HOLDINGS
BENPR
BPHCQ
BVXVI
CCPQU
CITATION
CS3
D1I
DIK
DU5
E3Z
EBD
EMOBN
ESX
FYUFA
GROUPED_DOAJ
GX1
HH5
HMCUK
HYE
HZ~
I09
IAO
IHR
ITC
KQ8
LK8
M1P
MODMG
O-U
O9-
OK1
P2P
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RPM
SV3
TR2
TUS
UKHRP
~8M
CGR
CUY
CVF
ECM
EIF
NPM
PJZUB
PPXIY
3V.
7XB
8FK
AZQEC
DWQXO
K9.
PKEHL
PQEST
PQUKI
PRINS
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c559t-aad0c1c1e67a6bfbbf857cdb738b0b8c3f55a1bc9f86e8d9dc22641ca48c5d0e3
IEDL.DBID 7X7
ISSN 1420-3049
IngestDate Wed Aug 27 01:17:59 EDT 2025
Thu Aug 21 18:28:33 EDT 2025
Mon Jul 21 10:10:42 EDT 2025
Fri Jul 25 09:49:28 EDT 2025
Mon Jul 21 05:45:50 EDT 2025
Tue Jul 01 03:12:11 EDT 2025
Thu Apr 24 22:56:47 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 3
Keywords Pu’er tea
multiwalled carbon nanotubes
risk assessment
high detection rate pesticides
Language English
License https://creativecommons.org/licenses/by/4.0
Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c559t-aad0c1c1e67a6bfbbf857cdb738b0b8c3f55a1bc9f86e8d9dc22641ca48c5d0e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0001-9420-5071
OpenAccessLink https://www.proquest.com/docview/2627863768?pq-origsite=%requestingapplication%
PMID 35164318
PQID 2627863768
PQPubID 2032355
ParticipantIDs doaj_primary_oai_doaj_org_article_65c440abd5cc4e8ab29c2c93ba094d97
pubmedcentral_primary_oai_pubmedcentral_nih_gov_8839113
proquest_miscellaneous_2629055349
proquest_journals_2627863768
pubmed_primary_35164318
crossref_primary_10_3390_molecules27031053
crossref_citationtrail_10_3390_molecules27031053
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20220204
PublicationDateYYYYMMDD 2022-02-04
PublicationDate_xml – month: 2
  year: 2022
  text: 20220204
  day: 4
PublicationDecade 2020
PublicationPlace Switzerland
PublicationPlace_xml – name: Switzerland
– name: Basel
PublicationTitle Molecules (Basel, Switzerland)
PublicationTitleAlternate Molecules
PublicationYear 2022
Publisher MDPI AG
MDPI
Publisher_xml – name: MDPI AG
– name: MDPI
References Feng (ref_7) 2017; 10
Chen (ref_42) 2015; 63
Chen (ref_43) 2017; 216
Zhu (ref_17) 2019; 276
Gao (ref_36) 2017; 9
ref_13
Wei (ref_9) 2017; 96
ref_12
Peng (ref_5) 2017; 6
Huang (ref_15) 2019; 275
Bai (ref_8) 2021; 101
ref_31
New (ref_33) 2008; 46
ref_30
Surma (ref_22) 2014; 21
Lv (ref_20) 2021; 14
Yaqub (ref_28) 2018; 38
Hikiji (ref_11) 2013; 20
Liu (ref_10) 2002; 95
Li (ref_26) 2018; 10
Hsieh (ref_3) 2016; 24
Xu (ref_4) 2021; 350
Wang (ref_41) 2019; 121
Chen (ref_29) 2011; 22
Han (ref_35) 2021; 151
Du (ref_21) 2022; 36
Beneta (ref_19) 2018; 98
Jiao (ref_24) 2016; 210
Li (ref_27) 2013; 96
Jiang (ref_1) 2018; 98
Qiong (ref_2) 2014; 27
Zhang (ref_25) 2010; 58
Xiao (ref_34) 2014; 6
Huang (ref_37) 2009; 32
ref_44
Zhang (ref_39) 2015; 27
ref_40
Dou (ref_6) 2021; 71
Dong (ref_14) 2021; 56
Harischandra (ref_16) 2021; 347
Yao (ref_18) 2021; 86
Wu (ref_23) 2017; 229
Stahnke (ref_32) 2012; 84
Wang (ref_38) 2021; 11
References_xml – volume: 101
  start-page: 5992
  year: 2021
  ident: ref_8
  article-title: Residue behavior, transfer and risk assessment of tolfenpyrad, dinotefuran and its metabolites during tea growing and tea brewing
  publication-title: J. Sci. Food Agri.
  doi: 10.1002/jsfa.11253
– volume: 216
  start-page: 1
  year: 2017
  ident: ref_43
  article-title: Evaluation of transfer rates of multiple pesticides from green tea into infusion using water as pressurized liquid extraction solvent and ultra-performance liquid chromatography tandem mass spectrometry
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2016.07.175
– ident: ref_30
– volume: 58
  start-page: 11553
  year: 2010
  ident: ref_25
  article-title: Analysis of agricultural residues on tea using d-SPE sample preparation with GC-NCI-MS and UHPLC-MS/MS
  publication-title: J. Agri. Food Chem.
  doi: 10.1021/jf102476m
– ident: ref_44
  doi: 10.1080/01480545.2020.1802476
– volume: 46
  start-page: 209
  year: 2008
  ident: ref_33
  article-title: Evaluation of BEH C18, BEH HILIC, and HSS T3 (C18) Column Chemistries for the UPLC-MS-MS Analysis of Glutathione, Glutathione Disulfide, and Ophthalmic Acid in Mouse Liver and Human Plasma
  publication-title: J. Chromatogr. Sci.
  doi: 10.1093/chromsci/46.3.209
– volume: 6
  start-page: 8045
  year: 2014
  ident: ref_34
  article-title: Rapid and reliable method for analysis of raw and honey-processed astragalus by UPLC/ESI-Q-TOF-MS using HSS T3 columns
  publication-title: Anal. Methods
  doi: 10.1039/C4AY01098A
– volume: 11
  start-page: 12162
  year: 2021
  ident: ref_38
  article-title: Determination of 12 insect growth regulator residues in foods of different matrixes by modified QuEChERS and UPLC-MS/MS
  publication-title: RSC Adv.
  doi: 10.1039/D1RA00046B
– volume: 121
  start-page: 776
  year: 2019
  ident: ref_41
  article-title: Transfer of pesticide residue during tea brewing: Understanding the effects of pesticide’s physico-chemical parameters on its transfer behavior
  publication-title: Food Res. Int.
  doi: 10.1016/j.foodres.2018.12.060
– volume: 96
  start-page: 204
  year: 2017
  ident: ref_9
  article-title: Susceptibility of Empoasca vitis (Hemiptera: Cicadellidae) populations from the main tea-growing regions of China to thirteen insecticides
  publication-title: Crop. Prot.
  doi: 10.1016/j.cropro.2017.02.021
– volume: 24
  start-page: 722
  year: 2016
  ident: ref_3
  article-title: Antibacterial and laxative activities of strictinin isolated from Pu’er tea (Camellia sinensis)
  publication-title: J. Food Drug Anal.
  doi: 10.1016/j.jfda.2016.03.014
– volume: 276
  start-page: 202
  year: 2019
  ident: ref_17
  article-title: Simultaneous determination of 131 pesticides in tea by on-line GPC-GC–MS/MS using graphitized multi-walled carbon nanotubes as dispersive solid phase extraction sorbent
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2018.09.152
– ident: ref_40
– volume: 38
  start-page: 625
  year: 2018
  ident: ref_28
  article-title: Monitoring and risk assessment due to presence of heavy metals and pesticides in tea samples
  publication-title: Food Sci. Technol.
  doi: 10.1590/fst.07417
– volume: 210
  start-page: 26
  year: 2016
  ident: ref_24
  article-title: Optimized combination of dilution and refined QuEChERS to overcome matrix effects of six types of tea for determination eight neonicotinoid insecticides by ultra performance liquid chromatography–electrospray tandem mass spectrometry
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2016.04.097
– volume: 98
  start-page: 987
  year: 2018
  ident: ref_19
  article-title: Multiresidue GC-MS/MS pesticide analysis for evaluation of tea and herbal infusion safety
  publication-title: Int. J. Environ. An. Chem.
  doi: 10.1080/03067319.2018.1518439
– volume: 32
  start-page: 1294
  year: 2009
  ident: ref_37
  article-title: Simultaneous determination of 103 pesticide residues in tea samples by LC-MS/MS
  publication-title: J. Sep. Sci.
  doi: 10.1002/jssc.200800605
– volume: 21
  start-page: 1326
  year: 2014
  ident: ref_22
  article-title: Comparison of different modifications on QuEChERS sample preparation method for PAHs determination in black, green, red and white tea
  publication-title: Environ. Sci. Pollut. R.
  doi: 10.1007/s11356-013-2022-1
– volume: 6
  start-page: 436
  year: 2017
  ident: ref_5
  article-title: Discrimination of Unfermented Pu’er Tea Aroma of Different Years Based on Electronic Nose
  publication-title: Agric. Res.
  doi: 10.1007/s40003-017-0277-3
– volume: 14
  start-page: 1
  year: 2021
  ident: ref_20
  article-title: Quantification and Confirmation of Zearalenone Using a LC-MS/MS QTRAP System in Multiple Reaction Monitoring and Enhanced Product Ion Scan Modes
  publication-title: Food Anal. Method.
  doi: 10.1007/s12161-021-01985-7
– volume: 98
  start-page: 204
  year: 2018
  ident: ref_1
  article-title: Chemical compositions of Pu’er tea fermented by Eurotium Cristatum and their lipid-lowering activity
  publication-title: LWT-Food Sci. Technol.
  doi: 10.1016/j.lwt.2018.08.007
– volume: 20
  start-page: 962
  year: 2013
  ident: ref_11
  article-title: Acute fatal poisoning with Tolfenpyrad
  publication-title: J. Forensic. Leg. Med.
  doi: 10.1016/j.jflm.2013.08.012
– volume: 350
  start-page: 129186
  year: 2021
  ident: ref_4
  article-title: Characterizing volatile metabolites in raw Pu’er tea stored in wet-hot or dry-cold environments by performing metabolomic analysis and using the molecular sensory science approach
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2021.129186
– volume: 22
  start-page: 1114
  year: 2011
  ident: ref_29
  article-title: Evaluation of pesticide residues in fruits and vegetables from Xiamen, China
  publication-title: Food Control
  doi: 10.1016/j.foodcont.2011.01.007
– ident: ref_31
– volume: 347
  start-page: 128986
  year: 2021
  ident: ref_16
  article-title: Simultaneous determination of 79 pesticides in pigeonpea grains using GC–MS/MS and LC–MS/MS
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2020.128986
– ident: ref_12
– volume: 229
  start-page: 580
  year: 2017
  ident: ref_23
  article-title: Multiresidue method for the determination of pesticides in Oolong tea using QuEChERS by gas chromatography-triple quadrupole tandem mass spectrometry
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2017.02.081
– volume: 151
  start-page: 112101
  year: 2021
  ident: ref_35
  article-title: Determination of Xinjunan pesticide residue in foodstuffs of plant origin by a modified QuEChERS method and ultra performance liquid chromatography-tandem mass spectrometry
  publication-title: LWT
  doi: 10.1016/j.lwt.2021.112101
– volume: 27
  start-page: 1015
  year: 2014
  ident: ref_2
  article-title: History of Pu’er Tea and comparative study for the effect of its various extracts on lipid-lowering diet
  publication-title: Pak. J. Pharm. Sci.
– volume: 96
  start-page: 1453
  year: 2013
  ident: ref_27
  article-title: Hierarchical Cluster Analysis of Matrix Effects on 110 Pesticide Residues in 28 Tea Matrixes
  publication-title: J. AOAC Int.
  doi: 10.5740/jaoacint.12-337
– volume: 71
  start-page: 81
  year: 2021
  ident: ref_6
  article-title: Empirical analysis of Pu’er tea price bubble measurement based on GSADF method
  publication-title: Acta. Agr. Scand. B.-S. P.
– volume: 9
  start-page: 6769
  year: 2017
  ident: ref_36
  article-title: Simultaneous determination of bisphenol A and tetrabromobisphenol A in tea using a modified QuEChERS sample preparation method coupled with liquid chromatography-tandem mass spectrometry
  publication-title: Anal. Methods
  doi: 10.1039/C7AY02145C
– ident: ref_13
– volume: 56
  start-page: 771
  year: 2021
  ident: ref_14
  article-title: Simultaneous determination of 14 pesticide residues in tea by multi-plug filtration cleanup combined with LC-MS/MS
  publication-title: J. Environ. Sci. Heal. B.
  doi: 10.1080/03601234.2021.1944962
– volume: 63
  start-page: 723
  year: 2015
  ident: ref_42
  article-title: Transfer rates of 19 typical pesticides and the relationship with their physicochemical property
  publication-title: J. Agri. Food Chem.
  doi: 10.1021/jf506103d
– volume: 95
  start-page: 360
  year: 2002
  ident: ref_10
  article-title: Toxicity, persistence, and efficacy of indoxacarb on cabbage looper (Lepidoptera: Noctuidae) on cabbage
  publication-title: J. Econ. Entomol.
  doi: 10.1603/0022-0493-95.2.360
– volume: 86
  start-page: 3743
  year: 2021
  ident: ref_18
  article-title: Occurrence of pesticides in white tea and a corresponding risk exposure assessment for the different residents in Fujian, China
  publication-title: J. Food Sci.
  doi: 10.1111/1750-3841.15826
– volume: 10
  start-page: 855
  year: 2018
  ident: ref_26
  article-title: Selection of representative matrices for the multiresidue analysis of pesticides in tea by GC-MS/MS
  publication-title: Anal. Methods
  doi: 10.1039/C7AY02773G
– volume: 84
  start-page: 1474
  year: 2012
  ident: ref_32
  article-title: Reduction of matrix effects in liquid chromatography–electrospray ionization–mass spectrometry by dilution of the sample extracts: How much dilution is needed?
  publication-title: Anal. Chem.
  doi: 10.1021/ac202661j
– volume: 27
  start-page: 262
  year: 2015
  ident: ref_39
  article-title: Enantioselective degradation of indoxacarb from different commercial formulations applied to tea
  publication-title: Chirality
  doi: 10.1002/chir.22422
– volume: 10
  start-page: 72
  year: 2017
  ident: ref_7
  article-title: Building an ecological tea garden, promoting the sustainable development of Pu’er tea industry
  publication-title: Yunnan Agri.
– volume: 36
  start-page: e9199
  year: 2022
  ident: ref_21
  article-title: Quantitative analysis of 17 hypoglycemic drugs in fingerprints using ultra-high-performance liquid chromatography/tandem hybrid triple quadrupole linear ion trap mass spectrometry
  publication-title: Rapid Commun. Mass. Sp.
  doi: 10.1002/rcm.9199
– volume: 275
  start-page: 255
  year: 2019
  ident: ref_15
  article-title: Determination of multi-pesticide residues in green tea with a modified QuEChERS protocol coupled to HPLC-MS/MS
  publication-title: Food Chem.
  doi: 10.1016/j.foodchem.2018.09.094
SSID ssj0021415
Score 2.4304035
Snippet Four pesticides with a high detection rate in Pu’er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with...
Four pesticides with a high detection rate in Pu'er tea have been determined by a QuEChERS (quick, easy, cheap, effective, rugged, safe) method with...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 1053
SubjectTerms Carbon black
China
Chromatography
Chromatography, High Pressure Liquid - methods
Farmers
Gas flow
high detection rate pesticides
Humans
Mass spectrometry
multiwalled carbon nanotubes
Nanotubes, Carbon - chemistry
Pesticide Residues - analysis
Pesticides
Pu’er tea
Risk assessment
Risk Assessment - methods
Scientific imaging
Supermarkets
Tandem Mass Spectrometry - methods
Tea
Tea - chemistry
SummonAdditionalLinks – databaseName: DOAJ Open Access Full Text
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELZQL-WCoLwCLRokToiodmwn9rEtrCokULW0UjlFfooISFF3e-fEf-Dv8UsYx0nUBQQXrvFDE894HvLMN4Q8k15JwUxdoi_uS-FiU-oofRl1NLqSlnmZ6p3fvK2Pz8Trc3l-rdVXygnL8MD54PZr6YSgxnrpnAjK2Eq7ymluDQYmXg915GjzpmBqDLUY2qX8hskxqN__nFvNhlWV4Nqp5BtWaADr_5OH-Wui5DXLs7hNbo0uIxxkUu-QG6HfIdtHU6e2u-Tbuy7lBZo-YBgPL6cEl3TkYHoPudQIlt3qIxzMSJxwEWGBe0NK9RhWDSUOsETvE04S-IbrfIBlQHlFeqHr4eTqx9fv4RJOg4FUlwLv0f01_QsYunDfI2eLV6dHx-XYX6F0GEesS2M8dcyxUDemttHaqGTjvG24stQqx6OUhlmno6qD8tq7VHXLEg66k54Gfp9s9Rd9eEggUuUb4TlHFYCsj1pEispCKItbG1cVhE7n3boRfDz1wPjUYhCSWNT-xqKCPJ-XfMnIG3-bfJiYOE9MoNnDBxSldhSl9l-iVJDdSQTa8Sav2qquGlWjGlYFeToPI4PTw0pmbJqjqZRc6II8yBIzU8IlBqSoOAvSbMjSBqmbI333YcD5Vui8MsYf_Y9_e0xuVqlwI-Wbi12ytb68CnvoTq3tk-Hm_ARORiUL
  priority: 102
  providerName: Directory of Open Access Journals
Title Simultaneous Determination and Health Risk Assessment of Four High Detection Rate Pesticide Residues in Pu’er Tea from Yunnan, China
URI https://www.ncbi.nlm.nih.gov/pubmed/35164318
https://www.proquest.com/docview/2627863768
https://www.proquest.com/docview/2629055349
https://pubmed.ncbi.nlm.nih.gov/PMC8839113
https://doaj.org/article/65c440abd5cc4e8ab29c2c93ba094d97
Volume 27
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagPcClKs8GyspInBBRk9hO7BNqS5cKiWq1tNJyivyEqJBtd7f3nvgP_D1-CTN5lQXUSw7xQ5bn4Rl75htCXgknBU91HoMt7mJuQxGrIFwcVNAqEyZ1AvOdP57kx2f8w0zMugu3ZRdW2evERlG7ucU78r0szwqZgzjItxeXMVaNwtfVroTGXbKJ0GXI1cXsxuFK4XRqXzIZuPZ739uCs36ZIWh7ItjaWdRA9v_Pzvw7XPKP82e8TbY6w5Hut5R-QO74-iG5d9jXa3tEfnyqMDpQ1x6cefquD3PBjae6drRNOKLTanlO9wc8TjoPdAxzUwz4aEY1iQ50CjYonSAEh62cp1MPXAvrpVVNJ1e_rn_6BT31mmJ2Cv0MRrCu39CmFvdjcjY-Oj08jrsqC7EFb2IVa-0Sm9rU54XOTTAmSFFYZwomTWKkZUEInRqrgsy9dMpZzL1NEQ3dCpd49oRs1PPa7xAaEukK7hgDRQAMEBQPCagMLg1MrW0WkaTf79J2EORYCeNbCa4Ikqj8h0QReT0MuWjxN27rfIBEHDoidHbzY774UnaSWObCcp5o44S13EttMmUzq5jR4Ok6VURkt2eBspPnZXnDfRF5OTQDgfF5pSUs9lGJEIyriDxtOWZYCRPgloL6jEixxktrS11vqauvDdq3BBM2Tdmz25f1nNzPMDED48n5LtlYLa78CzCXVmbUyAR85fj9iGweHJ1MpqPm6uE3RYAfTA
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Jb9QwFLZKOZQLYidQwEhwQURNYjuxDwiVlmFKF1XDVCqn4BVGQKbMIsSNE_-BP8GP4pfwXjIJDKDeeo0XWX57_N77CHkgnBQ81XkMvriLuQ1FrIJwcVBBq0yY1Amsd94_yPtH_OWxOF4hP9paGEyrbHVirajd2OI_8o0szwqZgzjIpyefYkSNwtfVFkKjYYtd_-UzhGzTJzvbQN-HWdZ7PtzqxwtUgdiC9zyLtXaJTW3q80LnJhgTpCisMwWTJjHSsiCETo1VQeZeOuUs1pqm2P3bCpd4BvueI-c5A0uOlem9F12Al4I1bF5OYTDZ-NgA3Ppphk3iE8GWbF8NEfA_v_bv9Mw_7F3vErm4cFTpZsNZl8mKr66Qta0WH-4q-fZqhNmIuvLj-ZRut2k1SGiqK0ebAic6GE3f082u_ycdB9qDvSkmmNSr6sIKOgCflx5iyw87cp4OPEgJnJeOKno4__n1u5_QodcUq2Hoa3C6dfWY1tjf18jRmdz_dbJajSt_k9CQSFdwxxgoHmC4oHhIQEVxaWBrbbOIJO19l3bR8hyRNz6UEPogicp_SBSRR92Sk6bfx2mTnyERu4nYqrv-MJ68LReSX-bCcp5o44S13EttMmUzq5jREFk7VURkvWWBcqE_puVvbo_I_W4YCIzPOQ1hcY5KhGBcReRGwzHdSZiAMBjUdUSKJV5aOurySDV6V3cXl-Aypym7dfqx7pG1_nB_r9zbOdi9TS5kWBSCuex8nazOJnN_B1y1mblbywclb85aIH8BGrpbgQ
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELbKVgIuiDeBAkaCCyLaJI4T-4BQ2-2qpbBaLa1UTsFPWAHZ0t0V4saJ_8Bf4efwS5jJCxZQb70mtmVlHp6JZ76PkIfcCp7GKgshFrdhanweSs9t6KVXMuE6thz7nV-Ost3D9PkRP1ojP9peGCyrbH1i5ajtzOA_8n6SJbnIwBxE3zdlEePB8NnxpxAZpPCmtaXTqFVk3335DOnb_OneAGT9KEmGOwfbu2HDMBAaiKQXoVI2MrGJXZarTHutveC5sTpnQkdaGOY5V7E20ovMCSutwb7TGJHADbeRY7DuObKeY1bUI-tbO6PxpEv3Yjgb63tUxmTU_1jT3bp5gpDxEWcrJ2FFGPC_KPfvYs0_Tr_hZXKpCVvpZq1nV8iaK6-SC9stW9w18u3VFGsTVelmyzkdtEU2KHaqSkvrdic6mc7f080ODZTOPB3C2hTLTapZVZsFnUAETMcIAGKm1tGJA5uB_dJpScfLn1-_uxN64BTF3hj6GkJwVT6hFRP4dXJ4JhK4QXrlrHS3CPWRsHlqGQM3BOrnZeojcFip0LC0MklAovZ7F6YBQEcejg8FJEIoouIfEQXkcTfluEb_OG3wFgqxG4jA3dWD2cnbovEDRcZNmkZKW25M6oTSiTSJkUwryLOtzAOy0apA0XiTefFb9wPyoHsNAsbLnVqwOEZGnLNUBuRmrTHdThiHpBicd0DyFV1a2erqm3L6rsIaFxBAxzG7ffq27pPzYIzFi73R_h1yMcEOESxsTzdIb3GydHchblvoe42BUPLmrG3yF3YZYRM
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Simultaneous+Determination+and+Health+Risk+Assessment+of+Four+High+Detection+Rate+Pesticide+Residues+in+Pu%E2%80%99er+Tea+from+Yunnan%2C+China&rft.jtitle=Molecules+%28Basel%2C+Switzerland%29&rft.au=Lin%2C+Tao&rft.au=Chen%2C+Xing-Lian&rft.au=Guo%2C+Jin&rft.au=Li%2C+Meng-Xia&rft.date=2022-02-04&rft.pub=MDPI&rft.eissn=1420-3049&rft.volume=27&rft.issue=3&rft_id=info:doi/10.3390%2Fmolecules27031053&rft_id=info%3Apmid%2F35164318&rft.externalDocID=PMC8839113
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1420-3049&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1420-3049&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1420-3049&client=summon