Controllable preparation and performance of bio-based poly(lactic acid-iminodiacetic acid) as sustained-release Pb2+ chelating agent.

The bio-based lactic acid (LA) and the common metal ion chelating agent iminodiacetic acid (IDA) are used to design and prepare a polymeric sustained-release Pb2+ chelating agent by a brief one-step reaction. After the analysis on theoretical calculation for this reaction, poly(lactic acid-iminodiacetic acid) [P(LA-co-IDA)] with different monomer molar feed ratios is synthesized via direct melt polycondensation. P(LA-co-IDA) mainly has star-shaped structure, and some of them have two-core or three-core structure. Thus, a possible mechanism of the polymerization is proposed. The degradation rate of P(LA-co-IDA)s can reach 70% in 4 weeks. The change of IDA release rate is consistent with the trend of the degradation rate, and the good Pb2+ chelating performance is confirmed. P(LA-co-IDA) is expected to be developed as a lead poisoning treatment drug or Pb2+ adsorbent in the environment with long-lasting effect, and this research provides a new strategy for the development of such drugs.

Introduction

Sustainable development has always been an important issue for class="Species">humans (class="Chemical">n class="Chemical">Naidoo and Fisher, 2020) along with material sustainability requiring the integration of green chemistry and raw material development (Zimmerman et al., 2020), especially the full utilization of renewable raw materials (Stockmann et al., 2020). Owing to the irreversibility constraint of the materials from petrochemical resources (Giraud et al., 2020), making use of biomass, the most abundant renewable carbon feedstock in the world (Liao et al., 2020) as an important way to the circular sustainable economy (Faveere et al., 2020) has great potential to replace or even surpass petrochemical feedstocks in most cases (Wang et al., 2020a, 2020b). Bio-based materials derived from biomass have been proved to be applicable to vaccine carriers (Fruk et al., 2021), electronic products (Maiti et al., 2019), industrial products (Hu et al., 2020), daily necessities (Chen et al., 2020), fuels (Sherkhanov et al., 2020), and many other fields (Byun and Han, 2020). Among them, polylactic acid (PLA), as the most widely used bio-based polymer (Hermann et al., 2020), has been recognized by the US Food and Drug Administration because of its good biocompatibility (Massoumi et al., 2020; Shin et al., 2019) and biodegradability (Luo et al., 2017; He et al., 2019a, 2019b). And the functionalization of PLA materials has attracted great attention in the fields of biomedicine (Wang et al., 2020a, 2020b), packaging (Calvino et al., 2020), and 3D printing (Silva Vinicius et al., 2020). Even so, there is still an urgent need to develop more ecological technologies and green products in some important areas.

Despite the global envclass="Chemical">ironmeclass="Chemical">ntal regulatioclass="Chemical">ns beclass="Chemical">n class="Chemical">coming stricter, heavy metals still pose a serious threat to human health (Fry et al., 2020). Among them, Pb2+ enters the human body extremely easily in people's daily life and work (Puangprasert and Prueksasit, 2019) and can be deposited in the blood, soft tissue, and bone, leading to the damage of various organ systems (Srivats et al., 2020), especially the irreversible neurodevelopmental disorders in children. Therefore, lead poisoning is a global public health problem that needs urgent solution (Yan et al., 2020). Pb2+ in human body is usually excreted after chelation by dimercaptopropanol or other drugs, to reduce its absorption, accumulation, and toxicity (Srivats et al., 2020). However, the traditional small molecule-type chelating agents have obvious disadvantages, such as large dosage, high toxicity, and non-biodegradation (Bretti et al., 2017; He et al., 2019a, 2019b). Thus, it is of great practical significance to develop polymeric chelators with biocompatibility, biodegradability, and long-term efficacy (Tahtat et al., 2017; Bretti et al., 2019). As far as we know, to date, there have been no reports on such chelating agents based on PLA materials.

As a class="Chemical">polycarboxylic acid with a seclass="Chemical">n class="Chemical">condary amino group, iminodiacetic acid (IDA) has good biocompatibility (Zou et al., 2017). As its lone pair electrons on O atom in carboxyl group can be shared with the empty orbital of metal ion to form a stable coordination compound (Zhou et al., 2018), IDA has been widely used as a chelating agent in industrial (Lin et al., 2018; Amphlett et al., 2018; Anito et al., 2020) and biomedical fields (Gokcal et al., 2020). As a bio-based and renewable hydroxycarboxylic acid (Lin et al., 2021), lactic acid (LA) is the basic monomer for the synthesis of PLA and can be copolymerized with many different functional monomers to prepare the multifunctional PLA materials (Oh et al., 2020). Herein, for the first time, a new copolymer poly(lactic acid-iminodiacetic acid) [P(LA-co-IDA)] is briefly synthesized from IDA and LA by simple direct melt polycondensation (Scheme 1) and successfully used as a chelating agent for Pb2+.

Scheme 1

Synthesis, degradation, and Pb2+ chelation of P(LA-co-IDA)

Synthesis, degradation, and n class="Chemical">Pb2+ chelatioclass="Chemical">n of class="Chemical">n class="Chemical">P(LA-co-IDA)

Results and discussion

In this study, class="Chemical">IDA is used as a multifuclass="Chemical">nctioclass="Chemical">nal reageclass="Chemical">nt class="Chemical">n class="Chemical">containing a secondary amino group and two carboxyl groups for the copolymerization with LA. In theory, they can form not only linear copolymer (Scheme 2) but also star copolymer, and even multi-core non-linear copolymers (Scheme 3). Therefore, the energy barriers of esterification reaction (the first step for forming linear copolymer) and amidation reaction (the first step for forming non-linear copolymer) of LA and IDA were first compared by theoretical calculation. Then, on the basis of the analysis for the calculation results, the polymerization conditions were screened, and the structure and physical properties of the obtained products were characterized. Importantly, the effects of n(LA):n(IDA) on the structure and Pb2+ chelating properties of P(LA-co-IDA) were systematically explored.

Scheme 2

Synthesis of linear P(LA-co-IDA)

Scheme 3

Synthesis of non-linear P(LA-co-IDA)s

Synthesis of linear n class="Chemical">P(LA-co-IDA)

Synthesis of non-linear n class="Chemical">P(LA-co-IDA)s

Theoretical calculation and analysis

As per the reported method, (Ayers and Parr, 2000; Ye and class="Chemical">Neese, 2011; Ortega et al., 2020), the Fukui fuclass="Chemical">nctioclass="Chemical">n charge distributioclass="Chemical">n value of atoms iclass="Chemical">n LA aclass="Chemical">nd class="Chemical">n class="Chemical">IDA molecules are shown in Tables S1 and S2 and the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) of LA and IDA molecules are shown in Figures S1 and S2, respectively. According to the frontier orbital theory, the Fukui(−) and Fukui(+) value of atoms can be used to quantitatively characterize their electrophilic and nucleophilic reaction activities, respectively. The larger the value is, the more likely it is to be the active site of the corresponding reaction type (Ayers and Parr, 2000). From Table S1 and Figure S1, the O atom (O-2) of hydroxyl in LA molecule is the active site for electrophilic reaction, whereas the C atom (C-4) of carboxyl is the active site for nucleophilic reaction. From Table S2 and Figure S2, the N atom (N-4) of secondary amino group in IDA molecule is the active site for electrophilic reaction, whereas the carboxyl C atoms (C-2 and C-6) are the active sites for nucleophilic reaction.

HOMO has a weaker binding force to electrons, showing the property of donating electron in the reaction. EHOMO represents the electron-donating ability of a moleclass="Chemical">cule: the larger the value, the stroclass="Chemical">nger the electroclass="Chemical">n-doclass="Chemical">naticlass="Chemical">ng ability of the moleclass="Chemical">n class="Chemical">cule. LUMO has a stronger affinity for electrons, having the property of an electron acceptor. ELUMO represents the electron-withdrawing ability of a molecule: the smaller the value, the stronger the electron-withdrawing ability of the molecule (Lu and Manzetti, 2014; Wang et al., 2021). Therefore, when only the esterification reaction occurs between LA and IDA, the hydroxyl O-2 of LA initiates nucleophilic attack on the carboxyl C-2 and C-6 of IDA, and water molecules are removed to form ester bonds, then the linear P(LA-co-IDA) copolymer can be generated (Scheme 2). When both esterification and amidation reaction occur between LA and IDA, carboxyl C-4 of LA can launch an electrophilic attack against secondary amino N-4 of IDA also removing water molecules to form amide bond. Thus, the star-shaped P(LA-co-IDA) may be generated directly from LA and IDA (Scheme 3), or indirectly from two monomers via the linear copolymer (Scheme 4). Furthermore, these non-linear P(LA-co-IDA)s with multi-core structure also can be generated (Scheme 3).

Scheme 4

P(LA-co-IDA) from linear to non-linear via amidation reaction

n class="Chemical">P(LA-co-IDA) from liclass="Chemical">near to class="Chemical">noclass="Chemical">n-liclass="Chemical">near via amclass="Chemical">n class="Chemical">idation reaction

To class="Chemical">compare the difficlass="Chemical">n class="Chemical">culty in directly producing linear and star-shaped P(LA-co-IDA)s, the transition states of LA-IDA bimolecular esterification and amidation reaction were searched by chemical calculation (Ortega et al., 2020); the results are shown as Figures 1 and S3, respectively. It can be seen that the reaction energy barrier of the esterification reaction is 46.177 kcal·mol−1 and the value for the amidation reaction is 87.386 kcal·mol−1. Although the latter is higher than the former indeed, the gap between them is not particularly large (Gorantla and Mallik, 2020; Roytman and Singleton, 2020). In fact, there are a large number of reports showing that the secondary amino group in IDA can react with carboxyl (Charton et al., 2015; Suda et al., 2006), ester group (Suda et al., 2006), epoxy group (Lin et al., 2018; An et al., 2017), acyl chloride (Charton et al., 2014, 2015), or anhydride (Leydier et al., 2012) to form amide group. In addition, imposing the appropriate reaction conditions can facilitate to cross the reaction barrier (Torres et al., 2020). Therefore, by screening the reaction conditions, such as the molar feed ratio n(LA): n(IDA), catalyst type, catalyst dosage, reaction temperature, and reaction time, it is possible to control the structure of P(LA-co-IDA).

Figure 1

The transition state and energy barrier of the first esterification reaction between LA and IDA

The transition state and energy barrier of the first n class="Chemical">esterificatioclass="Chemical">n reactioclass="Chemical">n betweeclass="Chemical">n LA aclass="Chemical">nd class="Chemical">n class="Chemical">IDA

Screening for synthetic conditions

The synthetic class="Chemical">coclass="Chemical">nditioclass="Chemical">ns were explored by selecticlass="Chemical">ng differeclass="Chemical">nt iclass="Chemical">nflueclass="Chemical">nce factors at the molar feed ratio of class="Chemical">n class="Chemical">n(LA): n(IDA) = 32 : 1, such as catalyst type and dosage, polymerization temperature and time, and according to the principle that the entry with the largest intrinsic viscosity of the copolymer P(LA-co-IDA) is the best (Wang et al., 2006, 2011). The screening results are shown in Table 1.

Table 1

The effects of different factors on the appearance, yield, and intrinsic viscosity of copolymer

Entry	Catalyst type	Catalyst dosage (wt %)	Temperature (°C)	Time (h)	Appearance	Yield (%)	[η]a (dL·g−1)
1	Blank	0.5	160	8	Light gray powder	31	0.44 ± 0.05
2	SnO	0.5	160	8	White powder	42	1.05 ± 0.06
3	ZnO	0.5	160	8	Gray powder	40	0.69 ± 0.05
4	SnCl2	0.5	160	8	Light gray powder	44	0.83 ± 0.11
5	ZnCl2	0.5	160	8	Light gray powder	59	0.42 ± 0.06
6	SnO	0.1	160	8	White powder	51	0.48 ± 0.03
7	SnO	0.3	160	8	White powder	60	0.71 ± 0.03
8	SnO	0.7	160	8	White powder	41	0.90 ± 0.02
9	SnO	0.9	160	8	White powder	48	0.54 ± 0.03
10	SnO	1.1	160	8	White powder	49	0.55 ± 0.03
11	SnO	0.5	140	8	White powder	60	0.55 ± 0.04
12	SnO	0.5	150	8	White powder	52	0.82 ± 0.02
13	SnO	0.5	170	8	White powder	47	1.08 ± 0.03
14	SnO	0.5	180	8	White powder	46	1.02 ± 0.04
15	SnO	0.5	190	8	Yellowish powder	57	0.96 ± 0.06
16	SnO	0.5	170	4	White powder	58	0.87 ± 0.03
17	SnO	0.5	170	6	White powder	57	0.90 ± 0.03
18	SnO	0.5	170	10	White powder	50	1.11 ± 0.02
19	SnO	0.5	170	12	White powder	53	1.04 ± 0.04

The entries in bold is the optimal condition in the every single-factor experiment.

The freedom degree of uncertainty is 2.

The effects of different factors on the appearance, yield, and intrinsic visn class="Chemical">cosity of class="Chemical">n class="Chemical">copolymer

The entries in bold is the optimal n class="Chemical">coclass="Chemical">nditioclass="Chemical">n iclass="Chemical">n the every siclass="Chemical">ngle-factor experimeclass="Chemical">nt.

Catalyst seriously affects the performance, yield, and appearance of the product (Yuntawattana et al., 2020). It can be seen from Table 1 that the class="Chemical">P(LA-co-IDA) syclass="Chemical">nthesized by usiclass="Chemical">ng class="Chemical">n class="Chemical">SnO as catalyst has the highest intrinsic viscosity and relatively high yield, and its appearance is like white powder. These indicate that SnO catalyst is necessary and optimal (Entries 1–5), and suitable for use in subsequent experiments. At the same time, with the increase of the catalyst dosage (Entries 6–10 versus Entry 2), although all products are white powder, the intrinsic viscosity of the products is generally increased first and then decreased. Obviously, at a dosage of 0.5 wt %, the intrinsic viscosity of the product is the highest, up to 1.05 ± 0.06 dL·g−1. Therefore, the catalyst dosage in subsequent experiments is selected as 0.5 wt %.

Similarly, with the increase of the class="Chemical">polymerizatioclass="Chemical">n temperature, the iclass="Chemical">ntriclass="Chemical">nsic visclass="Chemical">n class="Chemical">cosity of the products is increased first and then decreased, and there is a maximum value of 1.08 ± 0.03 dL·g−1 at 170°C (Table 1, Entries 2 and 11–15). When the temperature is over 180°C, not only the intrinsic viscosity of the product is continuously decreased but also the color of the product is changed from white to light yellow. These indicate that high temperature (190°C) may cause thermal degradation of the copolymer. As a result, the melting polymerization temperature in subsequent experiments is 170°C (Entry 13).

Finally, the class="Chemical">polymerizatioclass="Chemical">n time was iclass="Chemical">nvestigated (Table 1, Eclass="Chemical">ntries 13 aclass="Chemical">nd 16–19). From 4 to 12 h, the iclass="Chemical">ntriclass="Chemical">nsic visclass="Chemical">n class="Chemical">cosity of the products is increased first and then decreased. There is a maximum value of 1.11 ± 0.02 dL·g−1 at 10 h, so the polymerization time is determined as 10 h (Entry 18).

In addition, we performed a multilinear regression analysis on the screening experiments that are using class="Chemical">SnO as catalyst (Eclass="Chemical">ntries 2 aclass="Chemical">nd 6–19). Takiclass="Chemical">ng catalyst dosage, reactioclass="Chemical">n temperature, aclass="Chemical">nd reactioclass="Chemical">n time as iclass="Chemical">ndepeclass="Chemical">ndeclass="Chemical">nt variables, aclass="Chemical">nd [η] as depeclass="Chemical">ndeclass="Chemical">nt variable, the results are showclass="Chemical">n iclass="Chemical">n Tables S3 aclass="Chemical">nd S4. It is kclass="Chemical">nowclass="Chemical">n that the value of Durbiclass="Chemical">n-Watsoclass="Chemical">n is close to 2, iclass="Chemical">ndicaticlass="Chemical">ng that the iclass="Chemical">ndepeclass="Chemical">ndeclass="Chemical">nce of the samples is good, aclass="Chemical">nd the value of variaclass="Chemical">nce iclass="Chemical">nflatioclass="Chemical">n factor is less thaclass="Chemical">n 5, showiclass="Chemical">ng that there is class="Chemical">no multiclass="Chemical">n class="Chemical">collinearity of the samples. These can guarantee that the regression analysis results are valid. From the fact that the R2 is 0.399 and the significance of reaction temperature is 0.032 (less than 0.05), we can know that these condition screening experiments have achieved certain effects (their shortcomings will be discussed in the limitations of the study).

Thus, under the above screened class="Chemical">coclass="Chemical">nditioclass="Chemical">ns of 0.5 wt % class="Chemical">n class="Chemical">SnO catalyst, polycondensation temperature of 170°C, and reaction time of 10 h, serial P(LA-co-IDA) copolymers with different molar feed ratios, such as n(LA): n(IDA) = 8:1, 16:1, 32:1, 64:1, and 128:1, were directly synthesized via melt polycondensation, and the corresponding products were named as IDA8, IDA16, IDA32, IDA64, and IDA128, respectively.

Effects of different feeding ratios

The appearance, yield, and moleclass="Chemical">cular weight of class="Chemical">n class="Chemical">P(LA-co-IDA)s obtained from different feeding ratios are shown in Table 2. It can be seen that, with the increase of n(LA): n(IDA), the copolymers are all white powders, and all of them can be completely dissolved in CHCl3, CH3OH, and DMSO.

Table 2

The effects of molar feed ratio on appearance, solubility, and yield

Samples	Appearance	Yield (%)	Mw (Da)	Mn (Da)	PDI
IDA8	White powder	52	4,800	3,200	1.50
IDA16	White powder	51	5,000	3,200	1.56
IDA32	White powder	62	6,500	4,100	1.58
IDA64	White powder	63	8,600	7,000	1.22
IDA128	White powder	53	11,400	7,800	1.46

For the yield of class="Chemical">copolymers as the iclass="Chemical">ncrease of class="Chemical">n class="Chemical">n(LA): n(IDA), it is increased first and then decreased, possibly due to different reasons. When the n(LA): n(IDA) is small, there are more IDA active sites to produce more low-molecular-weight copolymers, which can be easily removed during the purification. However, once n(LA): n(IDA) is too large, LA is more likely to escape out of the reaction system under vacuum in the form of lactide, resulting in a decrease of the yield also.

The gel permeation chromatography (GPC) test results are shown in Figure 2, and the class="Chemical">correspoclass="Chemical">ndiclass="Chemical">ng data are summarized iclass="Chemical">n Table 2. It caclass="Chemical">n be seeclass="Chemical">n that, with the iclass="Chemical">ncrease of class="Chemical">n class="Chemical">n(LA): n(IDA), there is a gradual increase in the Mw and Mn of the products, while all the GPC curves are unimodal (Figure 2) and all the values of PDI are less than 2 (Table 2). These indicate that all products are the copolymers of LA and IDA indeed, rather than a mixture of copolymers and homopolymers, or multiple homopolymers (Xiong et al., 1991). Of course, the structure of copolymers is well characterized with Fourier transform infrared (FTIR) and 1H NMR specctroscopies.

Figure 2

GPC curves of P(LA-co-IDA)s

GPC n class="Chemical">curves of class="Chemical">n class="Chemical">P(LA-co-IDA)s

Structure characterization of copolymers

Some samples are used as representatives for the systematic analysis of the structure characterization by FTIR and class="Chemical">1H class="Chemical">n class="Chemical">NMR. The FTIR spectrum of IDA32 (Figure S4) and its peak assignments are shown in supplemental information. In contrast with the spectrum of homopolymer PLA synthesized via direct melt polycondensation (Zhao et al., 2005), there are not only peaks at 2,998, 2,947, and 1,758 cm−1 similar to PLA but also some characteristic absorption peaks, such as the peak at 3,643 cm−1 from unreacted NH in IDA and the peak at 1,629 cm−1 from amide group, which are obviously not assigned to PLA. Therefore the product IDA32 obtained under the screened synthesis conditions are from the condensation of LA and IDA. Aldo, IDA32 contains both the linear and non-linear copolymers, which is consistent with the predicted structure of the chemical calculation results.

Moreover, acclass="Chemical">cordiclass="Chemical">ng to the FTIR spectra of the class="Chemical">n class="Chemical">P(LA-co-IDA)s synthesized by different molar feeding ratios (Figure 3), the peak positions and shapes of all curves are similar, and there are obvious variation rules showing the effects of feeding ratios. With the increase of n(LA): n(IDA), the peaks at 3,643 cm−1 from the unreacted NH in IDA, at 3,514 cm−1 from the terminal OH, and at 1,629 cm−1 from the C=O of amide group are all continuously weakened. These results reflect the impact of the reduction of IDA feeding amount, showing that IDA monomers can effectively participate in the copolymerization reaction under all different molar feeding ratios.

Figure 3

FTIR spectra of P(LA-co-IDA)s

FTIR spectra of n class="Chemical">P(LA-co-IDA)s

Using class="Chemical">IDA32 as a represeclass="Chemical">ntative (Figure 4), the class="Chemical">n class="Chemical">1H NMR data are listed in the following (600 MHz, CDCl3 as solvent, TMS as internal standard, δ, ppm): 1.45–1.50 (H, CH3 in the terminal LA unit), 1.53–1.60 (H, CH3 in the LA segment), 2.95–3.03 (H, CH2 in the unamidated IDA units), 4.10–4.45 (H, CH2 in the amidated IDA units, and H, CH in the terminal LA unit of the amide bond-attached LA chain), 5.15–5.22 (H, CH in the LA unit). These data show that IDA32 is mainly non-linear structure and contains a small amount of linear structure at the same time.

Figure 4

1H NMR spectrum of IDA32

class="Chemical">1H class="Chemical">n class="Chemical">NMR spectrum of IDA32

Furthermore, it can be seen from the class="Chemical">1H class="Chemical">n class="Chemical">NMR test results (Figure S5) of the P(LA-co-IDA)s obtained at different molar ratios that the chemical shift of all products are similar (Table S5). Combining with the results from FTIR spectra (Figure 3), it can be determined that all products are copolymers of IDA and LA. On the other hand, the ratio of the non-linear copolymer to the linear copolymer can be calculated from the integral area ratio of peak H and H, and the average value of all samples is 11.39:1 (Table S6). Similarly, the content of the non-linear structure can be calculated, and the average value of all samples is 92% (Table S6). These results once again show that the products are dominated by non-linear structure, which is consistent with the structure predicted by Scheme 3.

Moreover, the moleclass="Chemical">cular weight Mclass="Chemical">n of class="Chemical">n class="Chemical">P(LA-co-IDA) was calculated based on the 1H NMR data according to the reported method (Lin et al., 2020; Luo et al., 2011, 2019); the obtained results are shown in Table S7. We can know that, with the increase of n(LA): n(IDA), the Mn generally shows an increasing trend, which is consistent with the trend of Mn tested by GPC. Meanwhile, for IDA8, IDA16, and IDA32, the two Mn are relatively similar. However, for IDA64 and IDA128, they are quite different. Thus, it is possible that both IDA64 and IDA128 are not simple one-core structure copolymers, because their more repeating LA units and longer chains on each arm allow a greater spatial activity, resulting in a smaller relative steric hindrance to form multi-core molecules.

In order to prove this prediction, the Mn of class="Chemical">IDA64 aclass="Chemical">nd class="Chemical">n class="Chemical">IDA128 as multi-core model (Table S7) were further calculated by the data of 1H NMR referring to the reported method (Wang et al., 2011; Luo et al., 2011). It can be seen that, in the two-core model, their Mn is closer to the Mn tested by GPC, but still obviously less than the latter. In the three-core model, their Mn is closer to the Mn tested by GPC, but slightly higher than the latter. So, there are both two-core and three-core copolymers in IDA64 and IDA128.

On the basis of the aforementioned results, it can be inferred that the process of the class="Chemical">polymer formatioclass="Chemical">n should be diverse uclass="Chemical">nder differeclass="Chemical">nt class="Chemical">n class="Chemical">n(LA): n(IDA), and the polymerization mechanism of the IDA-modified PLA may be briefly summarized as follows (Scheme 5):

Scheme 5

Schematic diagram of the possible reaction mechanism

At the initial stage of the reaction, no matter what the molar feed ratio is, the first step of class="Chemical">polymerizatioclass="Chemical">n is the reactioclass="Chemical">n betweeclass="Chemical">n -OH oclass="Chemical">n LA aclass="Chemical">nd -class="Chemical">n class="Chemical">COOH on IDA to form ester bonds, mainly because the energy barrier of forming ester bonds is lower than that of forming amide bonds. Then, the LA chains at both ends of IDA begin to grow continuously to form linear molecules. Conversely, if the first step is the reaction between -COOH on LA and -NH on IDA to form amide bonds, there will be no unreacted -NH groups due to the high stability of amide bond. This is not only in conflict with the results of chemical calculations but also inconsistent with the test results of FTIR and 1H NMR.

The seclass="Chemical">coclass="Chemical">nd step is the class="Chemical">n class="Chemical">continuous growth of linear molecules, as well as the formation of amide bonds by the reaction of -COOH on LA and -NH on IDA, and then the growth of LA chain on the new arm connecting with the IDA core with amide bond. After the simultaneous growth of these chains, a star-shaped copolymer with three arms can be produced.

With the formation of three-arm class="Chemical">copolymer, class="Chemical">n class="Chemical">IDA8, IDA16, and IDA32 are obtained under a small ratio of n(LA): n(IDA) and are difficult to further form multi-core copolymer, due to the inflexible segment motion of short PLA chains. However, under a large ratio of n(LA): n(IDA), the PLA chain are long enough to produce a flexible segment motion, leading to an easier formation of multi-core structure. As a result, the products, such as IDA64 and IDA128, mainly having two-core and three-core structure, can be obtained.

Physical properties of copolymers

The X-ray diffraction (XRD) test results of class="Chemical">P(LA-co-IDA)s (Figure S6 aclass="Chemical">nd Table S8) show that all class="Chemical">n class="Chemical">copolymers have high crystallinity and their diffraction peak positions are similar to that of PLA prepared by direct melt polymerization (Zhao et al., 2005). With the increase of n(LA): n(IDA), the crystallinity of the copolymers shows a downward trend. Perhaps, for IDA8, IDA16, and IDA32, the n(LA): n(IDA) is relatively smaller, there is a higher content for IDA unit, and there is a stronger hydrogen bond between molecules. Especially, a shorter PLA arm and a lower Mn of the star-shaped copolymer with one-core makes the whole macromolecule tend to stretch into a three-arm plane, more easily leading to a regular arrangement formation. In contrast, the crystallinity of IDA64 and IDA128 is significantly lower, because the above-mentioned characteristics are just the opposite of the copolymers obtained at the smaller ratio of n(LA): n(IDA); these make the whole macromolecule with two- or three-core structure difficult to stretch into a similar plane and there is a more irregular molecular arrangement.

The DSC seclass="Chemical">coclass="Chemical">nd heaticlass="Chemical">ng class="Chemical">n class="Chemical">curves of P(LA-co-IDA)s are shown as Figure 5, and the data are summarized in Table S9. We can know that, there is only one glass transition process on all DSC curves. This further indicates that the products prepared by direct melt polycondensation of LA and IDA should be copolymers indeed, rather than physical blends of multiple homopolymers (Xiong et al., 1991). With the exception of IDA8, no endothermic peak appears on the DSC curves of all other samples. This indicates that there is the stronger hydrogen bond force between IDA8 molecules indeed as mentioned above, making them easier to produce recrystallization during the first cooling process. And in the recrystallization process, different types of crystal, or complete and defective crystal grains in a same crystal type, may be generated at the same time (Makrani et al., 2019). Therefore, there are two melting peaks on the DCS curve of IDA8 (Table S9).

Figure 5

DSC curves of P(LA-co-IDA)s

DSC n class="Chemical">curves of class="Chemical">n class="Chemical">P(LA-co-IDA)s

The thermogravimetric analysis (TG) test results are shown in Figure 6, and the data are summarized in Table S10. Obviously, for all class="Chemical">copolymers, class="Chemical">not oclass="Chemical">nly there is oclass="Chemical">nly oclass="Chemical">ne step oclass="Chemical">n the TG class="Chemical">n class="Chemical">curves but also there is only one peak on the derivative thermogravimetry curves (Figure S7). Thus, in the decomposition process, there is only one stage on the whole, which is mainly derived from the PLA chain decomposition (Wang et al., 2010). At the same time, with the increase of n(LA): n(IDA), the thermal decomposition onset temperature (To), maximum weight loss temperature (Tmax), and termination temperature (Tt) of P(LA-co-IDA)s all show a decreasing trend, although the total weight loss rates of all samples are the same (Table S10). Among them, the To, Tmax, and Tt of IDA8 and IDA16 are significantly higher than those of other samples. These indicate that the IDA unit in the P(LA-co-IDA)s improves the thermal stability of the modified PLA, because the content of nitrogen element incorporated into these copolymers is relatively higher (Xiong et al., 2014).

Figure 6

TG curves of P(LA-co-IDA)s

TG n class="Chemical">curves of class="Chemical">n class="Chemical">P(LA-co-IDA)s

Degradation properties of copolymers

As per the reported method, (Wan et al., 2019a, 2019b), the degradation properties of class="Chemical">P(LA-co-IDA)s were determiclass="Chemical">ned by gravimetric method iclass="Chemical">n a pH-class="Chemical">neutral deioclass="Chemical">nized class="Chemical">n class="Chemical">water solution at 37°C. The results are shown in Table 3. It can be found that there are three obvious characteristics as follows.

Table 3

Degradation rate and its ring increase of P(LA-co-IDA)s at different time

Samples	Degradation rate (%)				Ring increase of degradation rate (%)
	1 w	2 w	3 w	4 w	1→2 w	2→3 w	3→4 w
IDA8	11	15	22	40	36	47	82
IDA16	11	14	22	36	27	57	64
IDA32	12	18	27	41	50	50	52
IDA64	27	35	46	61	30	31	33
IDA128	36	44	55	70	22	25	27

Degradation rate and its ring increase of n class="Chemical">P(LA-co-IDA)s at differeclass="Chemical">nt time

First, the degradation rates of class="Chemical">IDA8, class="Chemical">n class="Chemical">IDA16, and IDA32 are close to each other, whereas that of IDA64 is higher, and that of IDA128 is the highest (Figure S8). In combination with the XRD test results in Figure S6 and Table S8, the reason is speculated. Perhaps, the crystallinity and actual n(IDA): n(LA) of IDA8, IDA16, and IDA32 are relatively close to each other, whereas those of IDA64 are lower, and these of IDA128 are obviously the lowest. In general, the degradation of biodegradable polymers slows down as the crystallinity increases, because the amorphous phase is degraded faster than the crystalline phase (Zheng and Pan, 2020). This difference shows that the crystallinity and actual n(IDA): n(LA) of P(LA-co-IDA)s have a great influence on the degradation performance of the copolymers.

Seclass="Chemical">coclass="Chemical">nd, for a class="Chemical">n class="Chemical">copolymer obtained by the same molar feeding ratio, with the increase of the degradation time, its weekly degradation rate shows an increasing trend (Table 3). Importantly, comparing with the ring increase of degradation rate in last week, there is a self-accelerating effect. The possible reason is that the concentration of LA and H+ in the degradation system is increased continuously, and H+ can catalyze the acceleration of P(LA-co-IDA) degradation (Porfyris et al., 2018; Rocca-Smith et al., 2017).

Third, with the increase of class="Chemical">n(LA): class="Chemical">n class="Chemical">n(IDA), the ring increase of degradation rate shows a decrease trend (Table 3). The reasons may be that when the n(LA): n(IDA) is small (for IDA8, IDA16, and IDA32), the degradation of the copolymers is not obvious in the early stage; only as the degradation time increases, the H+ concentration in the system is increased significantly, then the degradation of the copolymer in the later stage is accelerated. However, when the n(LA): n(IDA) is large (for IDA64 and IDA128), the copolymers are degraded obviously in the early stage, so there is little increase in the H+ concentration with the increase of the degradation time, resulting in a smaller ring increase of degradation rate.

Lead ion chelating property of copolymers

The lead ion chelating property of class="Chemical">copolymers was quaclass="Chemical">ntified by the method reported previously (Sedghi et al., 2015, 2017; Maratta et al., 2016). The detailed operatioclass="Chemical">n procedure is showclass="Chemical">n iclass="Chemical">n the “STAR methods” sectioclass="Chemical">n aclass="Chemical">nd Flow chart S1. The absorptioclass="Chemical">n class="Chemical">n class="Chemical">curves and values of Pb2+ standard solutions in different concentrations are obtained, as shown in Figure S9. On the basis of Figure S9, a standard curve of concentration-absorption value relationship is drawn as Figure S10. Then, the relation equation (Equation 1) between Pb2+ concentration x' and UV-vis absorption value y' can be obtained by the linear fitting of the standard curve.

Similarly, the absorption class="Chemical">curves aclass="Chemical">nd values of class="Chemical">n class="Chemical">Pb2+ working solutions with an original concentration of 2 mg·L−1 at different degradation-chelation times are obtained, as shown in Figure S11. And then, by Equation 1, the final concentration of unchelated Pb2+ in the working solution can be calculated. Furthermore, the proportion of chelated Pb2+ in the working solution, namely, Pb2+ chelated rate [R(Pb chelated)], can be obtained from Equation 2 (the results are shown in Figure 7). In Equation 2, 2 is the original concentration of Pb2+ in the working solution and x' is the final concentration of unchelated Pb2+ in the working solution, the unit of both being mg·L−1.

Figure 7

Pb2+ chelated rates of P(LA-co-IDA)s at different time

n class="Chemical">Pb2+ chelated rates of class="Chemical">n class="Chemical">P(LA-co-IDA)s at different time

For the class="Chemical">Pb2+ chelaticlass="Chemical">ng performaclass="Chemical">nce of class="Chemical">n class="Chemical">P(LA-co-IDA)s, it can be seen from Figure 7 that, in the first week, the Pb2+ chelating adsorption rates of all samples are basically similar. In the second week, the data of IDA16, IDA32, IDA64, and IDA128 are relatively similar, whereas the value of IDA8 is obviously higher. It is worth noting that in the third and fourth weeks, for all samples, there is a decreasing trend with the increase of n(LA): n(IDA). Perhaps, the reasons are that when the mass of the samples is the same, with the increase of n(LA): n(IDA), the Mn of P(LA-co-IDA) increases (Table 2), so that the number of molecules is decreased. At the same time, the proportion of IDA unit in the P(LA-co-IDA) molecule is also decreasing. Thus, the amount of IDA unit released from the samples is reduced, resulting in a decrease of Pb2+ chelating adsorption rate.

Importantly, the class="Chemical">IDA released rate [R(class="Chemical">n class="Chemical">IDA released)] of P(LA-co-IDA) at the corresponding time can be calculated from the Pb2+ chelating adsorption rate. The calculation method is shown as Equation 3, and the results are summarized in Figure 8.

Figure 8

IDA release rate at different time of P(LA-co-IDA)s

n class="Chemical">IDA release rate at differeclass="Chemical">nt time of class="Chemical">n class="Chemical">P(LA-co-IDA)s

where M(class="Chemical">IDA released) is the amouclass="Chemical">nt of substaclass="Chemical">nce of class="Chemical">n class="Chemical">IDA released by the P(LA-co-IDA) degradation. As IDA and Pb2+ are chelated in the ratio 1:1, M(IDA released) is equal to M(Pb chelated) and M(Pb chelated) is the amount of Pb2+ chelated in the reaction flask and can be calculated by Equation 3B.

In Equation 3B, 0.1 is the volume of the class="Chemical">Pb2+ workiclass="Chemical">ng solutioclass="Chemical">n iclass="Chemical">n reactioclass="Chemical">n flask, the uclass="Chemical">nit is L; 2 is the origiclass="Chemical">nal class="Chemical">n class="Chemical">Pb2+ concentration of the working solution, the unit is mg·L−1; 207 is the molecular weight of Pb2+, the unit is g·mol−1; and 1,000 is the conversion factor of mg and g.

M(class="Chemical">IDA total) is the total amouclass="Chemical">nt of substaclass="Chemical">nce of class="Chemical">n class="Chemical">IDA contained in the P(LA-co-IDA) sample, which can be calculated by Equation 3C.

In Equation 3C, 250 is the mass of the class="Chemical">P(LA-co-IDA) sample added iclass="Chemical">nto the reactioclass="Chemical">n flask, the uclass="Chemical">nit is mg; Mclass="Chemical">n is the moleclass="Chemical">n class="Chemical">cular weight of P(LA-co-IDA) measured by GPC as shown in Table 2, the unit is g·mol−1; r is the actual n(LA): n(IDA) of P(LA-co-IDA) measured by 1H NMR as shown in Table S5; and 1,000 is the conversion coefficient between mg and g.

From Figure 8, we can know that R(class="Chemical">IDA released) is iclass="Chemical">ncreased with the iclass="Chemical">ncrease of class="Chemical">n class="Chemical">n(LA): n(IDA) during the process of sample degradation and IDA release. The reasons may be that with the increase of n(LA): n(IDA), the proportion of LA in the copolymer molecule is increased and the proportion of IDA is decreased, so the self-catalytic degradation effect produced by H+ is enhanced, whereas the intermolecular hydrogen bond force is weakened. Both are beneficial to promote the degradation and IDA release of samples.

Interestingly, it can also be seen from Figure 8 that the change trend of R(class="Chemical">IDA released) calclass="Chemical">n class="Chemical">culated from the UV-vis method data, is generally consistent with the degradation rate calculated from the gravimetric method data. The reason is simple in fact, because the release of IDA originates from the degradation of P(LA-co-IDA). However, there is also a certain gap between the two curves, and the degradation rate of most samples is higher than their R(IDA released) for most samples. The difference may be because when some incompletely degraded samples are dissolved and suspended in water, they are removed in the solid-liquid separation.

Even so, acclass="Chemical">cordiclass="Chemical">ng to the same treclass="Chemical">nds aclass="Chemical">nd the reasoclass="Chemical">nable gaps betweeclass="Chemical">n degradatioclass="Chemical">n rate aclass="Chemical">nd R(class="Chemical">n class="Chemical">IDA released), especially the data of the products from small feeding ratios in the first three weeks and those of the products from all feeding ratios in the fourth week, for PLA materials modified by the comonomers without any fluorescent groups, although these comonomers cannot be detected by UV-vis absorption method to monitor their release rate, they may be indirectly monitored by the gravimetric method.

At last, the class="Chemical">Pb2+ chelaticlass="Chemical">ng capacity (C) of class="Chemical">n class="Chemical">P(LA-co-IDA)s can be calculated from its IDA release rate and Pb2+ chelating rate at a certain time point, as shown in Equation 4. In the formula, 2 is the concentration of the test solution, the unit is mg·L−1; 0.1 is the volume of the test solution, the unit is L; 1,000 is the conversion coefficient between g and mg; and 250 is the mass of the sample in the test bottle, the unit is mg.

Herein, the chelating capacity of class="Chemical">P(LA-co-IDA)s was calclass="Chemical">n class="Chemical">culated on the basis of the IDA release rate and Pb2+ chelation rate in the fourth week. From the results shown in Figure S12, we come to know that with the increase of n(LA): n(IDA), the Pb2+ chelating capacity of P(LA-co-IDA)s is gradually decreased from 1.80 mg·g−1 of IDA8 to 0.33 mg·g−1 of IDA128. The datum is similar to (Tahtat et al., 2017; El-Ashgar et al., 2017) or higher than (Liu et al., 2020; Blicharska et al., 2018) that of the reported polymeric (or Mw over 1,200 Da) Pb2+ chelators using IDA or other substances as functional groups. Importantly, this level of chelating capacity is suitable for a potential biomedical chelating agent as a treatment drug for chelating and removing lead ions in vivo because the threshold of lead poisoning that requires treatment is 10 μg·dL−1 (Balasubramanian et al., 2020), and the corresponding dosage of small molecule chelating drugs is as low as 30 mg·kg−1 body weight per day (Safi et al., 2019). This can avoid toxicity and adverse reactions caused by a high dosage of the chelating drugs (Hsiao et al., 2019; Bradberry and Vale, 2009). In addition, the result also indicates that this Pb2+ chelating capacity can be adjusted according to the need of the practical application.

In a word, by adjusting the molar feeding ratio class="Chemical">n(LA): class="Chemical">n class="Chemical">n(IDA), it can be found that with the increase of n(LA): n(IDA), the Pb2+ chelating capacity of the copolymers is decreased gradually. In contrast, for their degradation rate and IDA release rate, there is a gradual increase trend almost synchronously. Thus, according to these regular changes, it is expected to develop a test method for the sustained release of functional monomer without fluorescent groups from PLA materials.

Conclusions

For the first time, the bio-based LA is used to class="Chemical">copolymerize with the class="Chemical">n class="Chemical">common metal ion chelating agent IDA. Under the screened synthetic conditions, a series of novel polymeric sustained-release Pb2+ chelating agent P(LA-co-IDA)s are obtained by one-step reaction. The theoretical calculation and structural characterization with FTIR, 1H NMR, and GPC show P(LA-co-IDA)s mainly having star-shaped structure, and some star-shaped copolymers with two-core or three-core structures can be found, especially for IDA64 and IDA128. With the change of molar feed ratio, the performance and properties of P(LA-co-IDA)s generally show regular variation. Importantly, P(LA-co-IDA)s have been proved to have Pb2+ chelating function as designed. With the increase of n(LA): n(IDA), Pb2+ chelating capability of P(LA-co-IDA) is decreased, but its IDA release rate is increased gradually. At the same time, the change of the degradation rate measured by gravimetric method is consistent with the altering trend of the IDA release rate measured by UV-vis method. Thus, not only P(LA-co-IDA) is expected to be developed as lead poisoning treatment drugs or Pb2+ adsorbents in the environment with long-lasting effect but also a similar method to measure the sustained release rate of functional monomer without any fluorophore groups from PLA materials can be developed.

Limitations of the study

The one-variable-at-a-time method, which is class="Chemical">commoclass="Chemical">nly used iclass="Chemical">n the field of orgaclass="Chemical">nic chemistry, was used to screeclass="Chemical">n the reactioclass="Chemical">n class="Chemical">n class="Chemical">conditions in this work, and was verified by multiple linear regression analysis. It is found that, for the main dependent variable [η], the independent variable of reaction temperature has a significant influence on it, whereas the independent variables such as the amount of catalyst and reaction time have no significant influence on it. In subsequent studies, design of experiment method should be used to optimize the reaction conditions.

STAR★methods

Key resources table

Resource availability

Lead contact

Further requests for resources regarding this study will be fulfilled by the n class="Chemical">correspoclass="Chemical">ndiclass="Chemical">ng author, Zhaoyaclass="Chemical">ng Waclass="Chemical">ng (waclass="Chemical">ngzy@scclass="Chemical">nu.edu.cclass="Chemical">n).

Materials availability

This work did not produce any new unique reagents.

Data and code availability

All data are published in this manuscript and supplement; additional requests for data can be made by n class="Chemical">coclass="Chemical">ntacticlass="Chemical">ng the lead class="Chemical">n class="Chemical">contact.

Method details

Materials

class="Chemical">D,L-Lactic acid (LA), class="Chemical">n class="Chemical">tin chloride (SnCl2), stannous oxide (SnO), zinc chloride (ZnCl2), zinc oxide (ZnO), and lead nitrate [Pb(NO3)2] were purchased from Guangzhou chemical reagent factory. Chloromethane (CHCl3), anhydrous methanol (CH3OH), and dimethyl sulfoxide (DMSO) were purchased from Tianjin Damao chemical reagent factory. Iminodiacetic acid (IDA) and dithizone were purchased from Energy chemical technology (Shanghai) Co. Ltd. All these reagents were used without further purification.

Theoretical computation

Acclass="Chemical">cordiclass="Chemical">ng to the method iclass="Chemical">n literature (Ayers aclass="Chemical">nd Parr, 2000; Ye aclass="Chemical">nd class="Chemical">n class="Chemical">Neese, 2011; Ortega et al., 2020), we made a theoretical computation for the possible reactions in the initial stage of polymerization. The geometric structures of LA and IDA molecules are optimized through the B3LYP function by Materials Studio, then the charge distribution is computed, and the possible reaction sites are analyzed. For different reaction modes that may occur at different sites, their transition states and energy barriers are calculated and searched, respectively, which provides a theoretical basis for the synthesis process, as well as the structure and performance analysis (Lu and Manzetti, 2014; Gorantla and Mallik, 2020; Zhang et al., 2017).

Synthesis of copolymers

Acclass="Chemical">cordiclass="Chemical">ng to our previous works (Liclass="Chemical">n et al., 2020; Luo et al., 2017), LA aclass="Chemical">nd class="Chemical">n class="Chemical">IDA were stirred for 4 h at 140 °C under normal pressure for dehydration, and prepolymerized for 4 h at 140 °C under 10 kPa pressure in a flask. Then, the reaction system was heated with an electromagnetic stirring heater and vacuumed with a rotary vane vacuum pump. Once the catalyst was added in a certain percentage by weight of the prepolymer (wt%), and the direct melt polycondensation was carried out under a specified temperature and 5 kPa pressure for a certain time. The product was purified by methanol and deionized water and dried in a vacuum dryer at 45 °C for 48 h, then ground into powder.

Structure characterization

The Fourier transform infrared spectrosclass="Chemical">copy (FTIR) of class="Chemical">n class="Chemical">copolymers was recorded by infrared spectrometer (Spectrum Two, Perkin Elmer, America) using a potassium bromide tableting method. The 1H NMR spectra of copolymers were detected by NMR spectrometer (DRX-600, Varian, America) in CDCl3 solution and using TMS as internal standard at 600 MHz. The relative molecular weight of copolymers was determined by gel permeation chromatography (GPC, P230II, Elitehplc, China) with CHCl3 as solvent at 25 °C and a flow velocity of 1 mL·min-1.

Tests of physical properties

The intrinsic visclass="Chemical">cosity ([η]) of class="Chemical">n class="Chemical">copolymers was determined with an Ubbelohde viscometer using chloroform as solvent at 25±0.1 °C in a constant temperature water bath (Lin et al., 2020; Luo et al., 2019). The diffraction patterns of copolymers were obtained by X-ray diffractometer (XRD, X’Pert PRO, Panalytical, Netherlands). The glass transition temperature (Tg) of copolymers was measured by differential scanning calorimeter (DSC, TA-60WS, Shimadzu, Japan) with the test temperature range from -20 °C to 180 °C and the heating rate of 10 °C·min-1. The thermal stability of copolymers was measured by thermogravimetric analyzer (TG, 209 F3, Netzsch, Germany) in the temperature range from 50 °C to 800 °C, at the heating rate of 10 °C·min-1, the oxygen flow rate of 10 mL·min-1, and the nitrogen flow rate of 40 mL·min-1.

Degradation test

Referring to the literature (Wan et al., 2019a, 2019b), the appropriate degradation class="Chemical">coclass="Chemical">nditioclass="Chemical">ns iclass="Chemical">n this work were set as follow. The weight of empty reactioclass="Chemical">n flask is reclass="Chemical">n class="Chemical">corded as W, and the total weight of flask and sample is recorded as W. After adding 20 mL of deionized water, the flask with sample was sealed. Then, it was put into a 37 °C constant temperature water bath for degradation, and fully shaken every 24 h. At the time of the pre-planned degradation cycle, such as 1, 2, 3 and 4 weeks, respectively, the corresponding flasks were taken out and centrifuged at 4000 rpm for 10 min. After the supernatant was poured, the precipitate was washed with deionized water. The process of centrifugation and pouring supernatant was repeated for several times. Then, the flasks were dried in a vacuum dryer at 45 °C for 48 h, the total weight of flask and undegraded sample was recorded as W. The degradation rate (R) was calculated according to the formula: R = (W - W) / (W - W).

Lead ion chelating test

As reported in the literatures (Sedghi et al., 2015, 2017; Maratta et al., 2016), the chelating test for lead ion was acclass="Chemical">corded the method iclass="Chemical">n the followiclass="Chemical">ng. A pH class="Chemical">neutral solutioclass="Chemical">n of class="Chemical">n class="Chemical">Pb(NO3)2 with 2 mg·L−-1 Pb2+ as original standard and working solution was prepared. And 5 mg·L-1 dithizone ethanol solution as the complexing agent and the indicator for its complexing reaction with Pb2+ was prepared also. The standard solutions of Pb(NO3)2 with gradient concentration, such as 0.2, 0.5, 0.8, 1.0, 1.2, 1.5, and 1.8 mg·L-1 were prepared by its 2 mg·L-1 original standard solution. Then, they respectively with dithizone ethanol solution as a volume ratio of 1:1 were added into a colorimetric dish. Once the UV-vis absorption value of the mixtures was measured (UV-2700, Shimadzu, Japan), the standard curve of concentration-absorption value was made.

After the addition of 100 mL of class="Chemical">Pb2+ workiclass="Chemical">ng solutioclass="Chemical">n aclass="Chemical">nd 250 mg of class="Chemical">n class="Chemical">P(LA-co-IDA) samples, the chelating flasks were placed in a 37 °C constant temperature water bath to degrade the samples, release IDA and form IDA-Pb chelate. When the degradation-chelation reaction time was 1, 2, 3 and 4 weeks, 2 mL of working solution was drawn from the flasks, and 2 mL of deionized water was added into the flasks. The degradation-chelation solution and dithizone ethanol solution were added into a colorimetric dish as a volume ratio of 1:1, and the UV-vis absorption value of the mixtures was measured. To characterize the capacity of P(LA-co-IDA) on Pb2+, the UV-vis absorption value was substituted into the linear fitting equation of the standard curve. Thus, the concentration of the remaining unchelated Pb2+ in the degradation-chelation solution was obtained (Sedghi et al., 2015).

Quantification and statistical analysis

All the [η] in class="Chemical">polymerizatioclass="Chemical">n class="Chemical">n class="Chemical">condition screening experiments were tested in triplicate, data were shown in Table 1. Statistical differences were determined by square difference. P < 0.05 was considered statistically significant. The statistical analyses were performed with Statistical Product and Service Solutions software (SPSS).

Additional resources

There is no additional resources need to be declared in this manuscript, additional requests for this can be made by n class="Chemical">coclass="Chemical">ntacticlass="Chemical">ng the lead class="Chemical">n class="Chemical">contact.

REAGENT or RESOURCE	SOURCE	IDENTIFIER
Chemicals, peptides, and recombinant proteins
D,L-Lactic acid (LA)	Guangzhou chemical reagent factory	CAS: 50-21-5
Iminodiacetic acid (IDA)	Energy chemical technology	CAS: 142-73-4
Dithizone	Energy chemical technology	CAS: 60-10-6
Deposited data
Raw and analyzed data	This paper	N/A
Software and algorithms
Materials Studio	Accelrys	www.accelrys.com