In situ seed-growth synthesis of silver nanoplates on glass for the detection of food contaminants by surface enhanced Raman scattering

D’Agostino, Agnese; Giovannozzi, Andrea Mario; Mandrile, Luisa; Sacco, Alessio; Rossi, Andrea Mario; Taglietti, Angelo

doi:10.1016/j.talanta.2020.120936

Cited by 36 publications

(27 citation statements)

References 36 publications

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“…SERS spectra were recorded using a Raman microscope (Horiba XploRA PLUS), which was equipped with a solid state excitation laser source (Nd:YAG) with line lter at 532 nm, coupled with a liquid-nitrogen-cooled charge-coupled device (CCD) detector. The excitation wavelength of 532 nm provided the highest enhancement of the SERS performance based on silver substrate 24 and the recorded Raman spectra possesses high signal-to-noise ratio (SNR). 31 The incident laser power was kept at 30 mW and total accumulation time for each SERS spectrum of 40 s was employed.…”

Section: Methodsmentioning

confidence: 99%

“…6 Agnese D'Agostino et al synthesized silver nanoplates for the detection of thiram fungicide by SERS. 24 SERS can signal the presence of chemical species by the vibrational ngerprint and has been applied in materials science, biomedical imaging and food safety. [25][26][27] Methylene Blue (MB) is a dark green powder with the molar weight of 373.9 g mol À1 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The sensitive detection of methylene blue using silver nanodecahedra prepared through a photochemical route

Dien²,

Phạm

et al. 2020

RSC Adv.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The sensitive detection of methylene blue using silver nanodecahedra prepared through a photochemical route

Dien²,

Phạm

et al. 2020

RSC Adv.

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“…The rice matrix has also been examined for acephate and chlorpyrifos residue (Huang et al., 2015; Weng et al., 2020) using multivariate calibrations. Fruits and juice/beverages are the most widely investigated matrix among foodstuff for pesticide residue analysis using chemometric algorithms (Albuquerque & Poppi, 2015; Alsammarraie et al., 2018; Alsammarraie & Lin, 2017; D'Agostino et al., 2020; Dong et al., 2018; Du et al., 2020; Feng et al., 2017; Hong et al., 2017; Lin et al., 2018; Liu et al., 2013; Mandrile et al., 2018; Teixeira & Poppi, 2020; Weng et al., 2018; Wijaya et al., 2014; Yande et al., 2016; Zhao et al., 2019). Raman spectroscopic study for chlorpyrifos concentration on pear fruit surface has been investigated using random frog regression (RFR) and PLSR (Du et al., 2019).…”

Section: Potential Hazards In Foodstuffsmentioning

confidence: 99%

Insights into chemometric algorithms for quality attributes and hazards detection in foodstuffs using Raman/surface enhanced Raman spectroscopy

Wang

Chen

Belwal

et al. 2021

Comp Rev Food Sci Food Safe

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Raman spectroscopy and surface‐enhanced Raman spectroscopy (SERS) have been extensively explored in the design of accurate, transparent, and conclusive food safety and quality control assays. Its hyphenation with chemometric algorithms is instrumental in securing safe food campaigns. To provide valuable recommendations and meet the growing demands for food screening, the current study begins with a brief description of the Raman spectroscopy and SERS theory followed by a comprehensive overview of spectral preprocessing, qualitative algorithms, variable selection methods, and quantitative algorithms. The review emphasizes on the importance of food monitoring practices using multivariate regression models. The applicability of the distinct chemometrics modes toward monitoring pesticide, food and illicit additives, heavy metals, pathogens, and its metabolites in Raman spectroscopy and SERS is covered in dairy, poultry, oil, honey, beverages, and other selected food matrices. Its pertinence toward classification and/or discrimination in food quality and safety monitoring and authentication is examined. Finally, it also complies with the limitations, key challenges, and prospects. The chemometrics processing spectra implemented with simpler or no complicated sample pretreatment step make Raman spectroscopy/SERS technique a potential approach that is expected to achieve simultaneous and fast detection of multiple analytes in food matrices.

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“…Surface-enhanced Raman spectroscopy (SERS) has been used to detect a variety of molecules [ 6 , 7 , 8 , 9 , 10 ] because SERS-based methods only need a small sample and take a few seconds to achieve the multiplexed detection of molecules with high sensitivity. Many studies have reported the SERS detection of drugs, including cannabinoid [ 11 ], cocaine [ 12 , 13 , 14 , 15 , 16 , 17 ], flunitrazepam [ 18 ], alpha-methyltryptamine [ 19 ], heroin [ 17 , 20 ], ketamine [ 21 ], morphine [ 13 , 22 ], benzodiazepine [ 23 ], methamphetamine [ 13 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ], amphetamine [ 31 ], opioid [ 32 ], 3,4-methylenedioxymethamphetamine (MDMA) [ 25 , 27 , 28 , 33 ], 4-MMC [ 34 , 35 ], MC [ 25 ], barbiturate [ 36 ], and sulfa drugs [ 37 ].…”

Section: Introductionmentioning

confidence: 99%

Rapid Formation of Nanoclusters for Detection of Drugs in Urine Using Surface-Enhanced Raman Spectroscopy

Chen

Hong

et al. 2021

Nanomaterials

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We developed a method based on surface-enhanced Raman spectroscopy (SERS) and a sample pretreatment process for rapid, sensitive, reproducible, multiplexed, and low-cost detection of illegal drugs in urine. The abuse of new psychoactive substances (NPS) has become an increasingly serious problem in many countries. However, immunoassay-based screening kits for NPS are usually not available because of the lack of corresponding antibodies. SERS has a great potential for rapid detection of NPS because it can simultaneously detect multiple kinds of drugs without the use of antibodies. To achieve highly sensitive SERS detection of drugs, sodium bromide was first employed to induce the rapid formation of Ag nanoclusters by aggregating silver nanoparticles (AgNPs) in the extracted sample solution. SERS measurements were performed immediately after the sample pretreatment without incubation. The three-dimensional SERS hot spots were believed to form significantly within the nanoclusters, providing strong SERS enhancement effects. The displacement of citrate molecules on the surfaces of the AgNPs by bromide ions helped increase the adsorption of drug molecules, increasing their areal density. We demonstrated the simultaneous detection of two kinds of NPS, methcathinone and 4-methylmethcathinone, in urine at a concentration as low as 0.01 ppm.

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In situ seed-growth synthesis of silver nanoplates on glass for the detection of food contaminants by surface enhanced Raman scattering

Cited by 36 publications

References 36 publications

The sensitive detection of methylene blue using silver nanodecahedra prepared through a photochemical route

The sensitive detection of methylene blue using silver nanodecahedra prepared through a photochemical route

Insights into chemometric algorithms for quality attributes and hazards detection in foodstuffs using Raman/surface enhanced Raman spectroscopy

Rapid Formation of Nanoclusters for Detection of Drugs in Urine Using Surface-Enhanced Raman Spectroscopy

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