Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Pesticides directly pollute the environment and food, eventually being absorbed into the human body. Their residues are highly toxic and pose serious health risks. Chromatography and gas liquid chromatography tandem mass spectrometry are widely employed for pesticide residue detection. However, these methods are often labor-intensive due to complex pretreatment processes, time-consuming procedures, and high energy consumption. Surface-enhanced Raman spectroscopy is regarded as a new detection method for agricultural residues due to its advantages of high sensitivity, excellent specificity, comprehensive fingerprint information and nondestructive to samples. This technique enables efficient detection of trace pesticide residues in both liquid and solid samples via simple extraction. In this review, the classification of SERS substrates, peak attribution of Raman reporter molecules, label-free detection of single and mixed pesticide residues, and the application of labeled detection have been comprehensively reviewed. The study aims to provide a valuable reference for pesticide residue detection, particularly for the simultaneous detection of multiple pesticide residues. Additionally, the review explores the challenges and future prospects of SERS technology in pesticide residue detection, including the difficulties of achieving synchronous detection, advancements in intelligent algorithm development, and the construction of portable on-site detection platforms. These innovations are designed to simplify the detection process and offer insights into selecting optimal sensing methods for on-site detection of multiple pesticide residues.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12199038 | PMC |
http://dx.doi.org/10.1021/acsomega.5c02940 | DOI Listing |